Search

Your search keyword '"van der Ent, Ruud J."' showing total 164 results
Start Over Author "van der Ent, Ruud J."

Refine your results

164 results on '"van der Ent, Ruud J."'

2. Quantifying Earth system interactions for sustainable food production via expert elicitation

Author

Chrysafi, Anna, Virkki, Vili, Jalava, Mika, Sandström, Vilma, Piipponen, Johannes, Porkka, Miina, Lade, Steven J., La Mere, Kelsey, Wang-Erlandsson, Lan, Scherer, Laura, Andersen, Lauren S., Bennett, Elena, Brauman, Kate A., Cooper, Gregory S., De Palma, Adriana, Döll, Petra, Downing, Andrea S., DuBois, Timothy C., Fetzer, Ingo, Fulton, Elizabeth A., Gerten, Dieter, Jaafar, Hadi, Jägermeyr, Jonas, Jaramillo, Fernando, Jung, Martin, Kahiluoto, Helena, Lassaletta, Luis, Mackay, Anson W., Mason-D’Croz, Daniel, Mekonnen, Mesfin M., Nash, Kirsty L., Pastor, Amandine V., Ramankutty, Navin, Ridoutt, Brad, Siebert, Stefan, Simmons, Benno I., Staal, Arie, Sun, Zhongxiao, Tobian, Arne, Usubiaga-Liaño, Arkaitz, van der Ent, Ruud J., van Soesbergen, Arnout, Verburg, Peter H., Wada, Yoshihide, Zipper, Sam, and Kummu, Matti

Published
2022
Full Text
View/download PDF

3. A planetary boundary for green water

Author

Wang-Erlandsson, Lan, Tobian, Arne, van der Ent, Ruud J., Fetzer, Ingo, te Wierik, Sofie, Porkka, Miina, Staal, Arie, Jaramillo, Fernando, Dahlmann, Heindriken, Singh, Chandrakant, Greve, Peter, Gerten, Dieter, Keys, Patrick W., Gleeson, Tom, Cornell, Sarah E., Steffen, Will, Bai, Xuemei, and Rockström, Johan

Published
2022
Full Text
View/download PDF

6. Flood drivers and trends: a case study of the Geul River catchment (the Netherlands) over the past half century.

Author

Tsiokanos, Athanasios, Rutten, Martine, van der Ent, Ruud J., and Uijlenhoet, Remko

Abstract

In July 2021, extreme precipitation caused devastating flooding in Germany, Belgium and the Netherlands, particularly in the Geul River catchment. Such precipitation extremes had not been previously recorded and were not expected to occur in summer. This contributed to poor flood forecasting and, hence, extensive damage. Climate change was mentioned as a potential explanation for these unprecedented events. However, before such a statement can be made, we need a better understanding of the drivers of floods in the Geul and their long-term variability, which are poorly understood and have not been recently examined. In this paper, we use an event-based approach to identify the dominant flood drivers in the Geul. We also employ (1) a multi-temporal trend analysis to investigate their temporal variability and (2) a novel methodology to detect the dominant direction of any trend. Results suggest that extreme 24 h precipitation alone is typically insufficient to cause floods. The joint probability of extreme and prolonged rainfall combined with wet initial conditions (compound event) determines the chances of flooding. Flood-producing precipitation shows a consistent increase in the winter half-year, a period in which more than 70 % of extremely high flows have historically occurred. While no consistent trend patterns are evident in the majority of precipitation and extreme flow trends in the summer half-year, an increasing direction is visible in the recent past. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

10. Influence of irrigation on root zone storage capacity estimation.

Author

van Oorschot, Fransje, van der Ent, Ruud J., Alessandri, Andrea, and Hrachowitz, Markus

Subjects
IRRIGATION, IRRIGATION water, HYDROLOGIC cycle, TROPICAL climate, WATER use
Abstract

Vegetation plays a crucial role in regulating the water cycle through transpiration, which is the water flux from the subsurface to the atmosphere via roots. The amount and timing of transpiration is controlled by the interplay of seasonal energy and water supply. The latter strongly depends on the size of the root zone storage capacity (Sr), which represents the maximum accessible volume of water that vegetation can use for transpiration. Sr is primarily influenced by hydroclimatic conditions, as vegetation optimizes its root system in such a way that it guarantees water uptake and overcomes dry periods. Sr estimates are commonly derived from root zone water deficits that result from the phase shift between the seasonal signals of root zone water inflow (i.e., precipitation) and outflow (i.e., evaporation). In irrigated croplands, irrigation water serves as an additional input into the root zone. However, this aspect has been ignored in many studies, and the extent to which irrigation influences Sr estimates has never been comprehensively quantified. In this study, our objective is to quantify the influence of irrigation on Sr and identify the regional differences therein. To this end, we integrated two irrigation methods, based on the respective irrigation water use and irrigated area fractions, into the Sr estimation. We evaluated the effects compared with Sr estimates that do not consider irrigation for a sample of 4856 catchments globally with varying degrees of irrigation activity. Our results show that Sr consistently decreased when considering irrigation, with a larger effect in catchments with a larger irrigated area. For catchments with an irrigated area fraction exceeding 10 %, the median decrease in Sr was 19 and 23 mm for the two methods, corresponding to decreases of 12 % and 15 %, respectively. Sr decreased the most for catchments in tropical climates. However, the relative decrease was the largest in catchments in temperate climates. Our results demonstrate, for the first time, that irrigation has a considerable influence on Sr estimates over irrigated croplands. This effect is as strong as the effects of snowmelt that have previously been documented in catchments that have a considerable amount of precipitation falling as snow. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

15. Interannual land cover and vegetation variability based on remote sensing data in the HTESSEL land surface model: implementation and effects on simulated water dynamics.

Author

van Oorschot, Fransje, van der Ent, Ruud J., Hrachowitz, Markus, Di Carlo, Emanuele, Catalano, Franco, Boussetta, Souhail, Balsamo, Gianpaolo, and Alessandri, Andrea

Subjects
*LAND cover, *GROUND vegetation cover, *REMOTE sensing, *LEAF area index, *GOVERNMENT policy on climate change, *EXPONENTIAL functions
Abstract

Vegetation largely controls land surface–atmosphere interactions. Although vegetation is highly dynamic across spatial and temporal scales, most land surface models currently used for reanalyses and near-term climate predictions do not adequately represent these dynamics. This causes deficiencies in the variability of modeled water and energy states and fluxes from the land surface. In this study we evaluated the effects of integrating spatially and temporally varying land cover and vegetation characteristics derived from satellite observations on modeled evaporation and soil moisture in the Hydrology Tiled ECMWF Scheme for Surface Exchanges over Land (HTESSEL) land surface model. Specifically, we integrated interannually varying land cover from the European Space Agency Climate Change Initiative and interannually varying leaf area index (LAI) from the Copernicus Global Land Services (CGLS). Additionally, satellite data on the fraction of green vegetation cover (FCover) from CGLS were used to formulate and integrate a spatially and temporally varying effective vegetation cover parameterization. The effects of these three implementations on model evaporation fluxes and soil moisture were analyzed using historical offline (land-only) model experiments at the global scale, and model performances were quantified with global observational products of evaporation (E) and near-surface soil moisture (SM s). The interannually varying land cover consistently altered the evaporation and soil moisture in regions with major land cover changes. The interannually varying LAI considerably improved the correlation of SM s and E with respect to the reference data, with the largest improvements in semiarid regions with predominantly low vegetation during the dry season. These improvements are related to the activation of soil moisture–evaporation feedbacks during vegetation-water-stressed periods with interannually varying LAI in combination with interannually varying effective vegetation cover, defined as an exponential function of LAI. The further improved effective vegetation cover parameterization consistently reduced the errors of model effective vegetation cover, and it regionally improved SM s and E. Overall, our study demonstrated that the enhanced vegetation variability consistently improved the near-surface soil moisture and evaporation variability, but the availability of reliable global observational data remains a limitation for complete understanding of the model response. To further explain the improvements found, we developed an interpretation framework for how the model development activates feedbacks between soil moisture, vegetation, and evaporation during vegetation water stress periods. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

18. Flood drivers and trends: a case study of the Geul River Catchment (the Netherlands) over the past half century.

Author

Tsiokanos, Athanasios, Rutten, Martine, van der Ent, Ruud J., and Uijlenhoet, Remko

Abstract

Extreme precipitation in July 2021 caused devastating flooding in Germany, Belgium and in the Netherlands, particularly in the Geul river catchment. Such precipitation extremes were not recorded previously and were not expected to occur in summer. This contributed to poor flood forecast and hence to large damage. Climate change was mentioned as a potential explanation for these unprecedented events. Yet, before such a statement can be made, we need a better understanding of the drivers of floods in the Geul and their long-term variability, which are poorly understood and have not been examined recently. In this paper, we use an event-based approach to identify the dominant flood drivers in the Geul and employ a multi-temporal trend analysis to investigate their temporal variabilities, as well as, a novel methodology to detect the dominant direction of a trend. Results suggest that extreme 24-hour precipitation cannot solely lead to floods. Heavy multi-day precipitation is the primary high-flow driver in the catchment and the joint probability of heavy and prolonged rainfall with wet initial conditions (compound event) determines the chances of flooding. Critical precipitation (precipitation that leads to floods) shows a consistent increase in the winter half-year, a period in which more than 70% of extremely high flows have occurred historically. While no consistent trend patterns are evident in the majority of precipitation and extreme flow trends in the summer half-year, an increasing direction in the recent past is visible. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

19. Root zone soil moisture in over 25 % of global land permanently beyond pre-industrial variability as early as 2050 without climate policy.

Author

Lai, En Ning, Wang-Erlandsson, Lan, Virkki, Vili, Porkka, Miina, and van der Ent, Ruud J.

Subjects
SOIL moisture, GOVERNMENT policy on climate change, HYDROLOGIC cycle, WATER boundaries, GLOBAL warming
Abstract

Root zone soil moisture is a key variable representing water cycle dynamics that strongly interact with ecohydrological, atmospheric, and biogeochemical processes. Recently, it was proposed as the control variable for the green water planetary boundary, suggesting that widespread and considerable deviations from baseline variability now predispose Earth system functions critical to an agriculture-based civilization to destabilization. However, the global extent and severity of root zone soil moisture changes under future scenarios remain to be scrutinized. Here, we analysed root zone soil moisture departures from the pre-industrial climate variability for a multi-model ensemble of 14 Earth system models (ESMs) in the Coupled Model Intercomparison Project Phase 6 (CMIP6) in four climate scenarios as defined by the shared socioeconomic pathways (SSPs) SSP1–2.6, SSP2–4.5, SSP3–7.0, and SSP5–8.5 between 2021 and 2100. The analyses were done for 43 ice-free climate reference regions used by the Intergovernmental Panel on Climate Change (IPCC). We defined "permanent departures" when a region's soil moisture exits the regional variability envelope of the pre-industrial climate and does not fall back into the range covered by the baseline envelope until 2100. Permanent dry departures (i.e. lower soil moisture than pre-industrial variability) were found to be most pronounced in Central America, southern Africa, the Mediterranean region, and most of South America, whereas permanent wet departures are most pronounced in south-eastern South America, northern Africa, and southern Asia. In the Mediterranean region, dry permanent departure may have already happened according to some models. By 2100, there are dry permanent departures in the Mediterranean in 70 % of the ESMs in SSP1–2.6, the most mitigated situation, and more than 90 % in SSP3–7.0 and SSP5–8.5, the medium–high and worst-case scenarios. North-eastern Africa is projected to experience wet permanent departures in 64 % of the ESMs under SSP1–2.6 and 93 % under SSP5–8.5. The percentage of ice-free land area with departures increases in all SSP scenarios as time goes by. Wet departures are more widespread than dry departures throughout the studied time frame, except in SSP1–2.6. In most regions, the severity of the departures increases with the severity of global warming. In 2050, permanent departures (ensemble median) occur in about 10 % of global ice-free land areas in SSP1–2.6 and in 25 % in SSP3–7.0. By the end of the 21st century, the occurrence of permanent departures in SSP1–2.6 increases to 34 % and, in SSP3–7.0, to 45 %. Our findings underscore the importance of mitigation to avoid further degrading the Earth system functions upheld by soil moisture. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

22. Quantifying Earth system interactions for sustainable food production via expert elicitation

Author

Spatial Ecology and Global Change, Environmental Sciences, Chrysafi, Anna, Virkki, Vili, Jalava, Mika, Sandström, Vilma, Piipponen, Johannes, Porkka, Miina, Lade, Steven J., La Mere, Kelsey, Wang-Erlandsson, Lan, Scherer, Laura, Andersen, Lauren S., Bennett, Elena, Brauman, Kate A., Cooper, Gregory S., De Palma, Adriana, Döll, Petra, Downing, Andrea S., DuBois, Timothy C., Fetzer, Ingo, Fulton, Elizabeth A., Gerten, Dieter, Jaafar, Hadi, Jägermeyr, Jonas, Jaramillo, Fernando, Jung, Martin, Kahiluoto, Helena, Lassaletta, Luis, Mackay, Anson W., Mason-D’Croz, Daniel, Mekonnen, Mesfin M., Nash, Kirsty L., Pastor, Amandine V., Ramankutty, Navin, Ridoutt, Brad, Siebert, Stefan, Simmons, Benno I., Staal, Arie, Sun, Zhongxiao, Tobian, Arne, Usubiaga-Liaño, Arkaitz, van der Ent, Ruud J., van Soesbergen, Arnout, Verburg, Peter H., Wada, Yoshihide, Zipper, Sam, Kummu, Matti, Spatial Ecology and Global Change, Environmental Sciences, Chrysafi, Anna, Virkki, Vili, Jalava, Mika, Sandström, Vilma, Piipponen, Johannes, Porkka, Miina, Lade, Steven J., La Mere, Kelsey, Wang-Erlandsson, Lan, Scherer, Laura, Andersen, Lauren S., Bennett, Elena, Brauman, Kate A., Cooper, Gregory S., De Palma, Adriana, Döll, Petra, Downing, Andrea S., DuBois, Timothy C., Fetzer, Ingo, Fulton, Elizabeth A., Gerten, Dieter, Jaafar, Hadi, Jägermeyr, Jonas, Jaramillo, Fernando, Jung, Martin, Kahiluoto, Helena, Lassaletta, Luis, Mackay, Anson W., Mason-D’Croz, Daniel, Mekonnen, Mesfin M., Nash, Kirsty L., Pastor, Amandine V., Ramankutty, Navin, Ridoutt, Brad, Siebert, Stefan, Simmons, Benno I., Staal, Arie, Sun, Zhongxiao, Tobian, Arne, Usubiaga-Liaño, Arkaitz, van der Ent, Ruud J., van Soesbergen, Arnout, Verburg, Peter H., Wada, Yoshihide, Zipper, Sam, and Kummu, Matti

Published
2022

23. Representing inter-annual land cover and vegetation variability based on satellite observations in the HTESSEL land surface model.

Author

van Oorschot, Fransje, van der Ent, Ruud J., Hrachowitz, Markus, Di Carlo, Emanuele, Catalano, Franco, Boussetta, Souhail, Balsamo, Gianpaolo, and Alessandri, Andrea

Subjects
*LAND cover, *GROUND vegetation cover, *LEAF area index, *GOVERNMENT policy on climate change, *EXPONENTIAL functions
Abstract

Vegetation largely controls land surface-atmosphere interactions. Although vegetation is highly dynamic across spatial and temporal scales, most land surface models currently used for reanalyses and near-term climate predictions do not adequately represent these dynamics. This causes deficiencies in the variability of modeled water and energy states and fluxes from the land surface. In this study we evaluated the effects of integrating spatially and temporally varying land cover and vegetation characteristics derived 5 from satellite observations on modelled evaporation and soil moisture in the Hydrology Tiled ECMWF Scheme for Surface Exchanges over Land (HTESSEL) land surface model. Specifically, we integrated inter-annually varying land cover from the European Space Agency Climate Change Initiative, and inter-annually varying Leaf Area Index (LAI) from the Copernicus Global Land Services (CGLS). Additionally, satellite data of the Fraction of green vegetation Cover (FCover) from CGLS was used to formulate and integrate a spatially and temporally varying effective vegetation cover parameterization. The effects of these three implementations on model evaporation fluxes and soil moisture were analysed using historical offline (land-only) model experiments at the global scale, and model performances were quantified with global observational products of evaporation (E) and near-surface soil moisture (SMs). The inter-annually varying land cover consistently altered the evaporation and soil moisture in regions with major land-cover changes. The inter-annually varying LAI considerably improved the correlation of SMs and E with respect to the reference data, with largest improvements in semiarid regions with predominantly low vegetation during the dry season. These improvements are related to the activation of soil moisture-evaporation feedbacks during vegetation-water-stressed periods with inter-annually varying LAI in combination with inter-annually varying effective vegetation cover, defined as an exponential function of LAI. The further improved effective vegetation cover parameterization consistently reduced the errors of model effective vegetation cover, and it regionally improved SMs and E. Overall, our study demonstrated that the enhanced vegetation variability consistently improved the near-surface soil moisture and evaporation variability, but the availability of reliable global observational data remains a limitation for complete understanding of the model response. To further explain the improvements found, we developed an interpretation framework for how the model development activates feedbacks between soil moisture, vegetation, and evaporation during vegetation-water-stress periods. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

28. Effects of horizontal resolution and air-sea coupling on simulated moisture source for East Asian precipitation

Author

Guo, Liang, van der Ent, Ruud J., Klingaman, Nick P, Demory, Marie-Estelle, Vidale, Pier Luigi, Turner, Andy G, Stephan, Claudia, and Chevuturi, Amulya

Abstract

Precipitation over East Asia in six MetUM simulations are compared with observation and ERA-Interim reanalysis.\ud These simulations include three different horizontal resolutions, from low, medium to high, and including atmosphere-only version (GA6.0) and air-sea coupling version (GC2.0).\ud Precipitations in simulations are systematically different from that of observation and reanalysis.\ud Increasing horizontal resolution and including air-sea coupling improve simulated precipitation but cannot eliminate bias.\ud %\ud Moisture sources of East Asian precipitations are identified using the WAM-2layers - a moisture tracking model that traces moisture source using collective information of evaporation, atmospheric moisture and circulation.\ud Similar to precipitation, moisture sources in simulations are systematically different from that of ERA-Interim.\ud Major differences in moisture sources include underestimated moisture contribution from tropical Indian Ocean and overestimate contribution from Eurasian continent.\ud %\ud By increasing horizontal resolution, precipitation bias over the Tibetan Plateau is improved.\ud From the moisture source point of view, this is achieved by reducing contribution from remote moisture source and enhancing local contribution over its eastern part.\ud %\ud Although including air-sea coupling does not necessarily change East Asian precipitation, moisture sources show differences between coupled and atmospheric-only simulations.\ud These differences in moisture sources indicate different types of models biases caused by surface flux or/and atmospheric circulation on different locations. \ud These information can be used to target model biases on specified locations and due to different mechanisms.

Published
2020

29. Effects of horizontal resolution and air-sea coupling on simulated moisture source for East Asian precipitation in MetUM GA6/GC2

Author

Guo, Liang, Van Der Ent, Ruud J., Klingaman, Nicholas P., Demory, Marie Estelle, Vidale, Pier Luigi, Turner, Andrew G., Stephan, Claudia C., Chevuturi, Amulya, Landscape functioning, Geocomputation and Hydrology, Hydrologie, Landscape functioning, Geocomputation and Hydrology, and Hydrologie

Subjects
geography, Plateau, geography.geographical_feature_category, Moisture, Atmospheric circulation, lcsh:QE1-996.5, Evaporation, Flux, Earth and Planetary Sciences(all), Unified Model, Atmospheric sciences, lcsh:Geology, Atmosphere, Modelling and Simulation, Environmental science, Precipitation
Abstract

Precipitation over East Asia in six Met Office Unified Model (MetUM) simulations is compared with observation and ERA-Interim reanalysis. These simulations include three different horizontal resolutions, from low and medium to high, and including atmosphere-only version (Global Atmosphere 6.0; GA6) and air–sea coupling version (Global Coupled 2.0; GC2). Precipitation in simulations is systematically different from that in observations and reanalysis. Increasing horizontal resolution and including air–sea coupling improve simulated precipitation but cannot eliminate bias. Moisture sources of East Asian precipitation are identified using the Water Accounting Model (WAM-2layers) – a moisture tracking model that traces moisture source using collective information of evaporation, atmospheric moisture and circulation. Similar to precipitation, moisture sources in simulations are systematically different from that of ERA-Interim. Major differences in moisture sources include underestimated moisture contribution from tropical Indian Ocean and overestimate contribution from Eurasian continent. By increasing horizontal resolution, precipitation bias over the Tibetan Plateau is improved. From the moisture source point of view, this is achieved by reducing contribution from remote moisture source and enhancing local contribution over its eastern part. Although including air–sea coupling does not necessarily change East Asian precipitation, moisture sources show differences between coupled and atmosphere-only simulations. These differences in moisture sources indicate different types of models biases caused by surface flux or/and atmospheric circulation on different locations. This information can be used to target model biases on specified locations and due to different mechanisms., Geoscientific Model Development, 13 (12), ISSN:1991-9603, ISSN:1991-959X

Published
2020

30. Effects of horizontal resolution and air-sea coupling on simulated moisture source for East Asian precipitation in MetUM GA6/GC2

Author

Landscape functioning, Geocomputation and Hydrology, Hydrologie, Guo, Liang, Van Der Ent, Ruud J., Klingaman, Nicholas P., Demory, Marie Estelle, Vidale, Pier Luigi, Turner, Andrew G., Stephan, Claudia C., Chevuturi, Amulya, Landscape functioning, Geocomputation and Hydrology, Hydrologie, Guo, Liang, Van Der Ent, Ruud J., Klingaman, Nicholas P., Demory, Marie Estelle, Vidale, Pier Luigi, Turner, Andrew G., Stephan, Claudia C., and Chevuturi, Amulya

Published
2020

35. Assessing water stress dynamics of the Amazonian rainforest through rootzone storage capacity : A time-series approach

Author

Singh, Chandrakant, Fetzer, Ingo, Wang-Erlandsson, Lan, and van der Ent, Ruud J.

Subjects
Geovetenskap och miljövetenskap, Earth and Related Environmental Sciences
Abstract

Extended exposure to change in rainfall patterns and permanent land-use change (LUC) have reduced the capability of the forests to withstand any external stresses, also defined as forest resilience loss. Major parts of the Amazon forest is under threat of tipping towards a treeless savanna state due to these changes in rainfall patterns and LUC. This loss in forest resilience thus also prevents the forest to return to its pre-disturbed state of the natural cycle and makes the forest more prone to tipping. Yet, this change in natural cycle is not sudden and involves a certain time lag for the forest system to respond. Previous studies determined the forest resilience, but have only considered precipitation or climatological drought to be the key influencing factor. However, neither are a direct measure of the water stress of the forest and thus do not fully reflect the hydrological dynamics underlying forest resilience loss. This study addresses the research questions: (i) do change in climatic patterns have a significant effect on forest resilience?, (ii) how does the change in rainfall patterns orLUC affect the environmental dynamics of the forest over time?, (iii) whether the quantification of rainfall, rootzone storage capacity and LUC patterns at a temporal scale better for understanding the resilience loss of the forest? The present study aims at understanding the complex dynamics of the resilience of the forest system using a time-series approach. Advanced remote sensing resources allow us to determine and understand patterns in the tipping behaviour at a temporal scale as well as to understand the hydrological dynamics and environmental triggers. For this, we combined precipitation data, root zone storage capacity and satellite-based forest cover and LUC data analyzed along a time-series. This is to better represent the resilience loss of the forest towards hydrological interactions and also provide a better understanding of the hydrological process for the forest tipping rather than a statistical relation. Landsat-7 data is ideal for determining the forest change, due to its regional time-series availability from early 2000’s until today. This study provides a better understanding of the hydrological dynamics of the rainforest by utilizing a time-series approach. Root zone storage capacity represents the water stored in the roots of the forest (a.k.a., water available to the forest) and it is a much better representation for assessing water stress of the Amazonian rainforest than precipitation. Thus, also a better parameter for evaluating forest resilience loss over time.

Published
2019

36. Forest restoration: transformative trees

Author

Sills, Jennifer, Sheil, Douglas, Bargués-Tobella, Aida, Ilstedt, Ulrik, Ibisch, Pierre L., Makarieva, Anastassia, McAlpine, Clive, Morris, Cindy E., Murdiyarso, Daniel, Nobre, Antonio D., Poveda, Germán, Spracklen, Dominick V., Sullivan, Caroline A., Tuinenburg, Obbe A., van der Ent, Ruud J., Sills, Jennifer, Sheil, Douglas, Bargués-Tobella, Aida, Ilstedt, Ulrik, Ibisch, Pierre L., Makarieva, Anastassia, McAlpine, Clive, Morris, Cindy E., Murdiyarso, Daniel, Nobre, Antonio D., Poveda, Germán, Spracklen, Dominick V., Sullivan, Caroline A., Tuinenburg, Obbe A., and van der Ent, Ruud J.

Published
2019

37. Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Author

Blöschl, Günter, Bierkens, Marc F.P., Chambel, Antonio, Cudennec, Christophe, Destouni, Georgia, Fiori, Aldo, Kirchner, James W., McDonnell, Jeffrey J., Savenije, Hubert H.G., Sivapalan, Murugesu, Stumpp, Christine, Toth, Elena, Volpi, Elena, Carr, Gemma, Lupton, Claire, Salinas, Josè, Széles, Borbála, Viglione, Alberto, Aksoy, Hafzullah, Allen, Scott T., Amin, Anam, Andréassian, Vazken, Arheimer, Berit, Aryal, Santosh K., Baker, Victor, Bardsley, Earl, Barendrecht, Marlies H., Bartosova, Alena, Batelaan, Okke, Berghuijs, Wouter R., Beven, Keith, Blume, Theresa, Bogaard, Thom, Borges de Amorim, Pablo, Böttcher, Michael E., Boulet, Gilles, Breinl, Korbinian, Brilly, Mitja, Brocca, Luca, Buytaert, Wouter, Castellarin, Attilio, Castelletti, Andrea, Chen, Xiaohong, Chen, Yangbo, Chen, Yuanfang, Chifflard, Peter, Claps, Pierluigi, Clark, Martyn P., Collins, Adrian L., Croke, Barry, Dathe, Annette, David, Paula C., de Barros, Felipe P.J., de Rooij, Gerrit, Di Baldassarre, Giuliano, Driscoll, Jessica M., Duethmann, Doris, Dwivedi, Ravindra, Eris, Ebru, Farmer, William H., Feiccabrino, James, Ferguson, Grant, Ferrari, Ennio, Ferraris, Stefano, Fersch, Benjamin, Finger, David, Foglia, Laura, Fowler, Keirnan, Gartsman, Boris, Gascoin, Simon, Gaume, Eric, Gelfan, Alexander, Geris, Josie, Gharari, Shervan, Gleeson, Tom, Glendell, Miriam, Gonzalez Bevacqua, Alena, González-Dugo, María P., Grimaldi, Salvatore, Gupta, A. B., Guse, Björn, Han, Dawei, Hannah, David, Harpold, Adrian, Haun, Stefan, Heal, Kate, Helfricht, Kay, Herrnegger, Mathew, Hipsey, Matthew, Hlaváčiková, Hana, Hohmann, Clara, Holko, Ladislav, Hopkinson, Christopher, Hrachowitz, Markus, Illangasekare, Tissa H., Inam, Azhar, Innocente, Camyla, Istanbulluoglu, Erkan, Jarihani, Ben, Kalantari, Zahra, Kalvans, Andis, Khanal, Sonu, Khatami, Sina, Kiesel, Jens, Kirkby, Mike, Knoben, Wouter, Kochanek, Krzysztof, Kohnová, Silvia, Kolechkina, Alla, Krause, Stefan, Kreamer, David, Kreibich, Heidi, Kunstmann, Harald, Lange, Holger, Liberato, Margarida L.R., Lindquist, Eric, Link, Timothy, Liu, Junguo, Loucks, Daniel Peter, Luce, Charles, Mahé, Gil, Makarieva, Olga, Malard, Julien, Mashtayeva, Shamshagul, Maskey, Shreedhar, Mas-Pla, Josep, Mavrova-Guirguinova, Maria, Mazzoleni, Maurizio, Mernild, Sebastian, Misstear, Bruce Dudley, Montanari, Alberto, Müller-Thomy, Hannes, Nabizadeh, Alireza, Nardi, Fernando, Neale, Christopher, Nesterova, Nataliia, Nurtaev, Bakhram, Odongo, Vincent O., Panda, Subhabrata, Pande, Saket, Pang, Zhonghe, Papacharalampous, Georgia, Perrin, Charles, Pfister, Laurent, Pimentel, Rafael, Polo, María J., Post, David, Prieto Sierra, Cristina, Ramos, Maria Helena, Renner, Maik, Reynolds, José Eduardo, Ridolfi, Elena, Rigon, Riccardo, Riva, Monica, Robertson, David E., Rosso, Renzo, Roy, Tirthankar, Sá, João H.M., Salvadori, Gianfausto, Sandells, Mel, Schaefli, Bettina, Schumann, Andreas, Scolobig, Anna, Seibert, Jan, Servat, Eric, Shafiei, Mojtaba, Sharma, Ashish, Sidibe, Moussa, Sidle, Roy C., Skaugen, Thomas, Smith, Hugh, Spiessl, Sabine M., Stein, Lina, Steinsland, Ingelin, Strasser, Ulrich, Su, Bob, Szolgay, Jan, Tarboton, David, Tauro, Flavia, Thirel, Guillaume, Tian, Fuqiang, Tong, Rui, Tussupova, Kamshat, Tyralis, Hristos, Uijlenhoet, Remko, van Beek, Rens, van der Ent, Ruud J., van der Ploeg, Martine, Van Loon, Anne F., van Meerveld, Ilja, van Nooijen, Ronald, van Oel, Pieter R., Vidal, Jean Philippe, von Freyberg, Jana, Vorogushyn, Sergiy, Wachniew, Przemyslaw, Wade, Andrew J., Ward, Philip, Westerberg, Ida K., White, Christopher, Wood, Eric F., Woods, Ross, Xu, Zongxue, Yilmaz, Koray K., Zhang, Yongqiang, Blöschl, Günter, Bierkens, Marc F.P., Chambel, Antonio, Cudennec, Christophe, Destouni, Georgia, Fiori, Aldo, Kirchner, James W., McDonnell, Jeffrey J., Savenije, Hubert H.G., Sivapalan, Murugesu, Stumpp, Christine, Toth, Elena, Volpi, Elena, Carr, Gemma, Lupton, Claire, Salinas, Josè, Széles, Borbála, Viglione, Alberto, Aksoy, Hafzullah, Allen, Scott T., Amin, Anam, Andréassian, Vazken, Arheimer, Berit, Aryal, Santosh K., Baker, Victor, Bardsley, Earl, Barendrecht, Marlies H., Bartosova, Alena, Batelaan, Okke, Berghuijs, Wouter R., Beven, Keith, Blume, Theresa, Bogaard, Thom, Borges de Amorim, Pablo, Böttcher, Michael E., Boulet, Gilles, Breinl, Korbinian, Brilly, Mitja, Brocca, Luca, Buytaert, Wouter, Castellarin, Attilio, Castelletti, Andrea, Chen, Xiaohong, Chen, Yangbo, Chen, Yuanfang, Chifflard, Peter, Claps, Pierluigi, Clark, Martyn P., Collins, Adrian L., Croke, Barry, Dathe, Annette, David, Paula C., de Barros, Felipe P.J., de Rooij, Gerrit, Di Baldassarre, Giuliano, Driscoll, Jessica M., Duethmann, Doris, Dwivedi, Ravindra, Eris, Ebru, Farmer, William H., Feiccabrino, James, Ferguson, Grant, Ferrari, Ennio, Ferraris, Stefano, Fersch, Benjamin, Finger, David, Foglia, Laura, Fowler, Keirnan, Gartsman, Boris, Gascoin, Simon, Gaume, Eric, Gelfan, Alexander, Geris, Josie, Gharari, Shervan, Gleeson, Tom, Glendell, Miriam, Gonzalez Bevacqua, Alena, González-Dugo, María P., Grimaldi, Salvatore, Gupta, A. B., Guse, Björn, Han, Dawei, Hannah, David, Harpold, Adrian, Haun, Stefan, Heal, Kate, Helfricht, Kay, Herrnegger, Mathew, Hipsey, Matthew, Hlaváčiková, Hana, Hohmann, Clara, Holko, Ladislav, Hopkinson, Christopher, Hrachowitz, Markus, Illangasekare, Tissa H., Inam, Azhar, Innocente, Camyla, Istanbulluoglu, Erkan, Jarihani, Ben, Kalantari, Zahra, Kalvans, Andis, Khanal, Sonu, Khatami, Sina, Kiesel, Jens, Kirkby, Mike, Knoben, Wouter, Kochanek, Krzysztof, Kohnová, Silvia, Kolechkina, Alla, Krause, Stefan, Kreamer, David, Kreibich, Heidi, Kunstmann, Harald, Lange, Holger, Liberato, Margarida L.R., Lindquist, Eric, Link, Timothy, Liu, Junguo, Loucks, Daniel Peter, Luce, Charles, Mahé, Gil, Makarieva, Olga, Malard, Julien, Mashtayeva, Shamshagul, Maskey, Shreedhar, Mas-Pla, Josep, Mavrova-Guirguinova, Maria, Mazzoleni, Maurizio, Mernild, Sebastian, Misstear, Bruce Dudley, Montanari, Alberto, Müller-Thomy, Hannes, Nabizadeh, Alireza, Nardi, Fernando, Neale, Christopher, Nesterova, Nataliia, Nurtaev, Bakhram, Odongo, Vincent O., Panda, Subhabrata, Pande, Saket, Pang, Zhonghe, Papacharalampous, Georgia, Perrin, Charles, Pfister, Laurent, Pimentel, Rafael, Polo, María J., Post, David, Prieto Sierra, Cristina, Ramos, Maria Helena, Renner, Maik, Reynolds, José Eduardo, Ridolfi, Elena, Rigon, Riccardo, Riva, Monica, Robertson, David E., Rosso, Renzo, Roy, Tirthankar, Sá, João H.M., Salvadori, Gianfausto, Sandells, Mel, Schaefli, Bettina, Schumann, Andreas, Scolobig, Anna, Seibert, Jan, Servat, Eric, Shafiei, Mojtaba, Sharma, Ashish, Sidibe, Moussa, Sidle, Roy C., Skaugen, Thomas, Smith, Hugh, Spiessl, Sabine M., Stein, Lina, Steinsland, Ingelin, Strasser, Ulrich, Su, Bob, Szolgay, Jan, Tarboton, David, Tauro, Flavia, Thirel, Guillaume, Tian, Fuqiang, Tong, Rui, Tussupova, Kamshat, Tyralis, Hristos, Uijlenhoet, Remko, van Beek, Rens, van der Ent, Ruud J., van der Ploeg, Martine, Van Loon, Anne F., van Meerveld, Ilja, van Nooijen, Ronald, van Oel, Pieter R., Vidal, Jean Philippe, von Freyberg, Jana, Vorogushyn, Sergiy, Wachniew, Przemyslaw, Wade, Andrew J., Ward, Philip, Westerberg, Ida K., White, Christopher, Wood, Eric F., Woods, Ross, Xu, Zongxue, Yilmaz, Koray K., and Zhang, Yongqiang

Abstract

This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused on the process-based understanding of hydrological variability and causality at all space and time scales. Increased attention to environmental change drives a new emphasis on understanding how change propagates across interfaces within the hydrological system and across disciplinary boundaries. In particular, the expansion of the human footprint raises a new set of questions related to human interactions with nature and water cycle feedbacks in the context of complex water management problems. We hope that this reflection and synthesis of the 23 unsolved problems in hydrology will help guide research efforts for some years to come.

Published
2019

38. Twenty-three unsolved problems in hydrology (UPH) - a community perspective

Author

Bloeschl, Gunter, Bierkens, Marc F. P., Chambel, Antonio, Cudennec, Christophe, Destouni, Georgia, Fiori, Aldo, Kirchner, James W., McDonnell, Jeffrey J., Savenije, Hubert H. G., Sivapalan, Murugesu, Stumpp, Christine, Toth, Elena, Volpi, Elena, Carr, Gemma, Lupton, Claire, Salinas, Jose, Szeles, Borbala, Viglione, Alberto, Aksoy, Hafzullah, Allen, Scott T., Amin, Anam, Andreassian, Vazken, Arheimer, Berit, Aryal, Santosh K., Baker, Victor, Bardsley, Earl, Barendrecht, Marlies H., Bartosova, Alena, Batelaan, Okke, Berghuijs, Wouter R., Beven, Keith, Blume, Theresa, Bogaard, Thom, de Amorim, Pablo Borges, Boettcher, Michael E., Boulet, Gilles, Breinl, Korbinian, Brilly, Mitja, Brocca, Luca, Buytaert, Wouter, Castellarin, Attilio, Castelletti, Andrea, Chen, Xiaohong, Chen, Yangbo, Chen, Yuanfang, Chifflard, Peter, Claps, Pierluigi, Clark, Martyn P., Collins, Adrian L., Croke, Barry, Dathe, Annette, David, Paula C., de Barros, Felipe P. J., de Rooij, Gerrit, Di Baldassarre, Giuliano, Driscoll, Jessica M., Duethmann, Doris, Dwivedi, Ravindra, Eris, Ebru, Farmer, William H., Feiccabrino, James, Ferguson, Grant, Ferrari, Ennio, Ferraris, Stefano, Fersch, Benjamin, Finger, David, Foglia, Laura, Fowler, Keirnan, Gartsman, Boris, Gascoin, Simon, Gaume, Eric, Gelfan, Alexander, Geris, Josie, Gharari, Shervan, Gleeson, Tom, Glendell, Miriam, Bevacqua, Alena Gonzalez, Gonzalez-Dugo, Maria P., Grimaldi, Salvatore, Gupta, A. B., Guse, Bjoern, Han, Dawei, Hannah, David, Harpold, Adrian, Haun, Stefan, Heal, Kate, Helfricht, Kay, Herrnegger, Mathew, Hipsey, Matthew, Hlavacikova, Hana, Hohmann, Clara, Holko, Ladislav, Hopkinson, Christopher, Hrachowitz, Markus, Illangasekare, Tissa H., Inam, Azhar, Innocente, Camyla, Istanbulluoglu, Erkan, Jarihani, Ben, Kalantari, Zahra, Kalvans, Andis, Khanal, Sonu, Khatami, Sina, Kiesel, Jens, Kirkby, Mike, Knoben, Wouter, Kochanek, Krzysztof, Kohnova, Silvia, Kolechkina, Alla, Krause, Stefan, Kreamer, David, Kreibich, Heidi, Kunstmann, Harald, Lange, Holger, Liberato, Margarida L. R., Lindquist, Eric, Link, Timothy, Liu, Junguo, Loucks, Daniel Peter, Luce, Charles, Mahe, Gil, Makarieva, Olga, Malard, Julien, Mashtayeva, Shamshagul, Maskey, Shreedhar, Mas-Pla, Josep, Mavrova-Guirguinova, Maria, Mazzoleni, Maurizio, Mernild, Sebastian, Misstear, Bruce Dudley, Montanari, Alberto, Mueller-Thomy, Hannes, Nabizadeh, Alireza, Nardi, Fernando, Neale, Christopher, Nesterova, Nataliia, Nurtaev, Bakhram, Odongo, Vincent, Panda, Subhabrata, Pande, Saket, Pang, Zhonghe, Papacharalampous, Georgia, Perrin, Charles, Pfister, Laurent, Pimentel, Rafael, Polo, Maria J., Post, David, Sierra, Cristina Prieto, Ramos, Maria-Helena, Renner, Maik, Reynolds, Eduardo, Ridolfi, Elena, Rigon, Riccardo, Riva, Monica, Robertson, David E., Rosso, Renzo, Roy, Tirthankar, Sa, Joao H. M., Salvadori, Gianfausto, Sandells, Mel, Schaefli, Bettina, Schumann, Andreas, Scolobig, Anna, Seibert, Jan, Servat, Eric, Shafiei, Mojtaba, Sharma, Ashish, Sidibe, Moussa, Sidle, Roy C., Skaugen, Thomas, Smith, Hugh, Spiessl, Sabine M., Stein, Lina, Steinsland, Ingelin, Strasser, Ulrich, Su, Bob, Szolgay, Jan, Tarboton, David, Tauro, Flavia, Thirel, Guillaume, Tian, Fuqiang, Tong, Rui, Tussupova, Kamshat, Tyralis, Hristos, Uijlenhoet, Remko, van Beek, Rens, van der Ent, Ruud J., van der Ploeg, Martine, Van Loon, Anne F., van Meerveld, Ilja, van Nooijen, Ronald, van Oel, Pieter R., Vidal, Jean-Philippe, von Freyberg, Jana, Vorogushyn, Sergiy, Wachniew, Przemyslaw, Wade, Andrew J., Ward, Philip, Westerberg, Ida K., White, Christopher, Wood, Eric F., Woods, Ross, Xu, Zongxue, Yilmaz, Koray K., Zhang, Yongqiang, Bloeschl, Gunter, Bierkens, Marc F. P., Chambel, Antonio, Cudennec, Christophe, Destouni, Georgia, Fiori, Aldo, Kirchner, James W., McDonnell, Jeffrey J., Savenije, Hubert H. G., Sivapalan, Murugesu, Stumpp, Christine, Toth, Elena, Volpi, Elena, Carr, Gemma, Lupton, Claire, Salinas, Jose, Szeles, Borbala, Viglione, Alberto, Aksoy, Hafzullah, Allen, Scott T., Amin, Anam, Andreassian, Vazken, Arheimer, Berit, Aryal, Santosh K., Baker, Victor, Bardsley, Earl, Barendrecht, Marlies H., Bartosova, Alena, Batelaan, Okke, Berghuijs, Wouter R., Beven, Keith, Blume, Theresa, Bogaard, Thom, de Amorim, Pablo Borges, Boettcher, Michael E., Boulet, Gilles, Breinl, Korbinian, Brilly, Mitja, Brocca, Luca, Buytaert, Wouter, Castellarin, Attilio, Castelletti, Andrea, Chen, Xiaohong, Chen, Yangbo, Chen, Yuanfang, Chifflard, Peter, Claps, Pierluigi, Clark, Martyn P., Collins, Adrian L., Croke, Barry, Dathe, Annette, David, Paula C., de Barros, Felipe P. J., de Rooij, Gerrit, Di Baldassarre, Giuliano, Driscoll, Jessica M., Duethmann, Doris, Dwivedi, Ravindra, Eris, Ebru, Farmer, William H., Feiccabrino, James, Ferguson, Grant, Ferrari, Ennio, Ferraris, Stefano, Fersch, Benjamin, Finger, David, Foglia, Laura, Fowler, Keirnan, Gartsman, Boris, Gascoin, Simon, Gaume, Eric, Gelfan, Alexander, Geris, Josie, Gharari, Shervan, Gleeson, Tom, Glendell, Miriam, Bevacqua, Alena Gonzalez, Gonzalez-Dugo, Maria P., Grimaldi, Salvatore, Gupta, A. B., Guse, Bjoern, Han, Dawei, Hannah, David, Harpold, Adrian, Haun, Stefan, Heal, Kate, Helfricht, Kay, Herrnegger, Mathew, Hipsey, Matthew, Hlavacikova, Hana, Hohmann, Clara, Holko, Ladislav, Hopkinson, Christopher, Hrachowitz, Markus, Illangasekare, Tissa H., Inam, Azhar, Innocente, Camyla, Istanbulluoglu, Erkan, Jarihani, Ben, Kalantari, Zahra, Kalvans, Andis, Khanal, Sonu, Khatami, Sina, Kiesel, Jens, Kirkby, Mike, Knoben, Wouter, Kochanek, Krzysztof, Kohnova, Silvia, Kolechkina, Alla, Krause, Stefan, Kreamer, David, Kreibich, Heidi, Kunstmann, Harald, Lange, Holger, Liberato, Margarida L. R., Lindquist, Eric, Link, Timothy, Liu, Junguo, Loucks, Daniel Peter, Luce, Charles, Mahe, Gil, Makarieva, Olga, Malard, Julien, Mashtayeva, Shamshagul, Maskey, Shreedhar, Mas-Pla, Josep, Mavrova-Guirguinova, Maria, Mazzoleni, Maurizio, Mernild, Sebastian, Misstear, Bruce Dudley, Montanari, Alberto, Mueller-Thomy, Hannes, Nabizadeh, Alireza, Nardi, Fernando, Neale, Christopher, Nesterova, Nataliia, Nurtaev, Bakhram, Odongo, Vincent, Panda, Subhabrata, Pande, Saket, Pang, Zhonghe, Papacharalampous, Georgia, Perrin, Charles, Pfister, Laurent, Pimentel, Rafael, Polo, Maria J., Post, David, Sierra, Cristina Prieto, Ramos, Maria-Helena, Renner, Maik, Reynolds, Eduardo, Ridolfi, Elena, Rigon, Riccardo, Riva, Monica, Robertson, David E., Rosso, Renzo, Roy, Tirthankar, Sa, Joao H. M., Salvadori, Gianfausto, Sandells, Mel, Schaefli, Bettina, Schumann, Andreas, Scolobig, Anna, Seibert, Jan, Servat, Eric, Shafiei, Mojtaba, Sharma, Ashish, Sidibe, Moussa, Sidle, Roy C., Skaugen, Thomas, Smith, Hugh, Spiessl, Sabine M., Stein, Lina, Steinsland, Ingelin, Strasser, Ulrich, Su, Bob, Szolgay, Jan, Tarboton, David, Tauro, Flavia, Thirel, Guillaume, Tian, Fuqiang, Tong, Rui, Tussupova, Kamshat, Tyralis, Hristos, Uijlenhoet, Remko, van Beek, Rens, van der Ent, Ruud J., van der Ploeg, Martine, Van Loon, Anne F., van Meerveld, Ilja, van Nooijen, Ronald, van Oel, Pieter R., Vidal, Jean-Philippe, von Freyberg, Jana, Vorogushyn, Sergiy, Wachniew, Przemyslaw, Wade, Andrew J., Ward, Philip, Westerberg, Ida K., White, Christopher, Wood, Eric F., Woods, Ross, Xu, Zongxue, Yilmaz, Koray K., and Zhang, Yongqiang

Abstract

This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused on the process-based understanding of hydrological variability and causality at all space and time scales. Increased attention to environmental change drives a new emphasis on understanding how change propagates across interfaces within the hydrological system and across disciplinary boundaries. In particular, the expansion of the human footprint raises a new set of questions related to human interactions with nature and water cycle feedbacks in the context of complex water management problems. We hope that this reflection and synthesis of the 23 unsolved problems in hydrology will help guide research efforts for some years to come.

Published
2019
Full Text
View/download PDF

39. Twenty-three unsolved problems in hydrology (UPH) - a community perspective

Author

Blösch, Günter, Bierkens, Marc F. P., Chambel, Antonio, Cudennec, Christophe, Destouni, Georgia, Fiori, Aldo, Kirchner, James W., McDonnell, Jeffrey J., Savenije, Hubert H. G., Sivapalan, Murugesu, Stumpp, Christine, Toth, Elena, Volpi, Elena, Carr, Gemma, Lupton, Claire, Salinas, Jose, Szeles, Borbala, Viglione, Alberto, Aksoy, Hafzullah, Allen, Scott T., Amin, Anam, Andreassian, Vazken, Arheimer, Berit, Aryal, Santosh K., Baker, Victor, Bardsley, Earl, Barendrecht, Marlies H., Bartosova, Alena, Batelaan, Okke, Berghuijs, Wouter R., Beven, Keith, Blume, Theresa, Bogaard, Thom, de Amorim, Pablo Borges, Boettcher, Michael E., Boulet, Gilles, Breinl, Korbinian, Brilly, Mitja, Brocca, Luca, Buytaert, Wouter, Castellarin, Attilio, Castelletti, Andrea, Chen, Xiaohong, Chen, Yangbo, Chen, Yuanfang, Chifflard, Peter, Claps, Pierluigi, Clark, Martyn P., Collins, Adrian L., Croke, Barry, Dathe, Annette, David, Paula C., de Barros, Felipe P. J., de Rooij, Gerrit, Di Baldassarre, Giuliano, Driscoll, Jessica M., Duethmann, Doris, Dwivedi, Ravindra, Eris, Ebru, Farmer, William H., Feiccabrino, James, Ferguson, Grant, Ferrari, Ennio, Ferraris, Stefano, Fersch, Benjamin, Finger, David, Foglia, Laura, Fowler, Keirnan, Gartsman, Boris, Gascoin, Simon, Gaume, Eric, Gelfan, Alexander, Geris, Josie, Gharari, Shervan, Gleeson, Tom, Glendell, Miriam, Bevacqua, Alena Gonzalez, Gonzalez-Dugo, Maria P., Grimaldi, Salvatore, Gupta, A. B., Guse, Bjoern, Han, Dawei, Hannah, David, Harpold, Adrian, Haun, Stefan, Heal, Kate, Helfricht, Kay, Herrnegger, Mathew, Hipsey, Matthew, Hlavacikova, Hana, Hohmann, Clara, Holko, Ladislav, Hopkinson, Christopher, Hrachowitz, Markus, Illangasekare, Tissa H., Inam, Azhar, Innocente, Camyla, Istanbulluoglu, Erkan, Jarihani, Ben, Kalantari, Zahra, Kalvans, Andis, Khanal, Sonu, Khatami, Sina, Kiesel, Jens, Kirkby, Mike, Knoben, Wouter, Kochanek, Krzysztof, Kohnova, Silvia, Kolechkina, Alla, Krause, Stefan, Kreamer, David, Kreibich, Heidi, Kunstmann, Harald, Lange, Holger, Liberato, Margarida L. R., Lindquist, Eric, Link, Timothy, Liu, Junguo, Loucks, Daniel Peter, Luce, Charles, Mahe, Gil, Makarieva, Olga, Malard, Julien, Mashtayeva, Shamshagul, Maskey, Shreedhar, Mas-Pla, Josep, Mavrova-Guirguinova, Maria, Mazzoleni, Maurizio, Mernild, Sebastian, Misstear, Bruce Dudley, Montanari, Alberto, Mueller-Thomy, Hannes, Nabizadeh, Alireza, Nardi, Fernando, Neale, Christopher, Nesterova, Nataliia, Nurtaev, Bakhram, Odongo, Vincent O., Panda, Subhabrata, Pande, Saket, Pang, Zhonghe, Papacharalampous, Georgia, Perrin, Charles, Pfister, Laurent, Pimentel, Rafael, Polo, Maria J., Post, David, Sierra, Cristina Prieto, Ramos, Maria-Helena, Renner, Maik, Reynolds, Jose Eduardo, Ridolfi, Elena, Rigon, Riccardo, Riva, Monica, Robertson, David E., Rosso, Renzo, Roy, Tirthankar, Sa, Joao H. M., Salvadori, Gianfausto, Sandells, Mel, Schaefli, Bettina, Schumann, Andreas, Scolobig, Anna, Seibert, Jan, Servat, Eric, Shafiei, Mojtaba, Sharma, Ashish, Sidibe, Moussa, Sidle, Roy C., Skaugen, Thomas, Smith, Hugh, Spiessl, Sabine M., Stein, Lina, Steinsland, Ingelin, Strasser, Ulrich, Su, Bob, Szolgay, Jan, Tarboton, David, Tauro, Flavia, Thirel, Guillaume, Tian, Fuqiang, Tong, Rui, Tussupova, Kamshat, Tyralis, Hristos, Uijlenhoet, Remko, van Beek, Rens, van der Ent, Ruud J., van der Ploeg, Martine, Van Loon, Anne F., van Meerveld, Ilja, van Nooijen, Ronald, van Oel, Pieter R., Vidal, Jean-Philippe, von Freyberg, Jana, Vorogushyn, Sergiy, Wachniew, Przemyslaw, Wade, Andrew J., Ward, Philip, Westerberg, Ida K., White, Christopher, Wood, Eric F., Woods, Ross, Xu, Zongxue, Yilmaz, Koray K., Zhang, Yongqiang, Blösch, Günter, Bierkens, Marc F. P., Chambel, Antonio, Cudennec, Christophe, Destouni, Georgia, Fiori, Aldo, Kirchner, James W., McDonnell, Jeffrey J., Savenije, Hubert H. G., Sivapalan, Murugesu, Stumpp, Christine, Toth, Elena, Volpi, Elena, Carr, Gemma, Lupton, Claire, Salinas, Jose, Szeles, Borbala, Viglione, Alberto, Aksoy, Hafzullah, Allen, Scott T., Amin, Anam, Andreassian, Vazken, Arheimer, Berit, Aryal, Santosh K., Baker, Victor, Bardsley, Earl, Barendrecht, Marlies H., Bartosova, Alena, Batelaan, Okke, Berghuijs, Wouter R., Beven, Keith, Blume, Theresa, Bogaard, Thom, de Amorim, Pablo Borges, Boettcher, Michael E., Boulet, Gilles, Breinl, Korbinian, Brilly, Mitja, Brocca, Luca, Buytaert, Wouter, Castellarin, Attilio, Castelletti, Andrea, Chen, Xiaohong, Chen, Yangbo, Chen, Yuanfang, Chifflard, Peter, Claps, Pierluigi, Clark, Martyn P., Collins, Adrian L., Croke, Barry, Dathe, Annette, David, Paula C., de Barros, Felipe P. J., de Rooij, Gerrit, Di Baldassarre, Giuliano, Driscoll, Jessica M., Duethmann, Doris, Dwivedi, Ravindra, Eris, Ebru, Farmer, William H., Feiccabrino, James, Ferguson, Grant, Ferrari, Ennio, Ferraris, Stefano, Fersch, Benjamin, Finger, David, Foglia, Laura, Fowler, Keirnan, Gartsman, Boris, Gascoin, Simon, Gaume, Eric, Gelfan, Alexander, Geris, Josie, Gharari, Shervan, Gleeson, Tom, Glendell, Miriam, Bevacqua, Alena Gonzalez, Gonzalez-Dugo, Maria P., Grimaldi, Salvatore, Gupta, A. B., Guse, Bjoern, Han, Dawei, Hannah, David, Harpold, Adrian, Haun, Stefan, Heal, Kate, Helfricht, Kay, Herrnegger, Mathew, Hipsey, Matthew, Hlavacikova, Hana, Hohmann, Clara, Holko, Ladislav, Hopkinson, Christopher, Hrachowitz, Markus, Illangasekare, Tissa H., Inam, Azhar, Innocente, Camyla, Istanbulluoglu, Erkan, Jarihani, Ben, Kalantari, Zahra, Kalvans, Andis, Khanal, Sonu, Khatami, Sina, Kiesel, Jens, Kirkby, Mike, Knoben, Wouter, Kochanek, Krzysztof, Kohnova, Silvia, Kolechkina, Alla, Krause, Stefan, Kreamer, David, Kreibich, Heidi, Kunstmann, Harald, Lange, Holger, Liberato, Margarida L. R., Lindquist, Eric, Link, Timothy, Liu, Junguo, Loucks, Daniel Peter, Luce, Charles, Mahe, Gil, Makarieva, Olga, Malard, Julien, Mashtayeva, Shamshagul, Maskey, Shreedhar, Mas-Pla, Josep, Mavrova-Guirguinova, Maria, Mazzoleni, Maurizio, Mernild, Sebastian, Misstear, Bruce Dudley, Montanari, Alberto, Mueller-Thomy, Hannes, Nabizadeh, Alireza, Nardi, Fernando, Neale, Christopher, Nesterova, Nataliia, Nurtaev, Bakhram, Odongo, Vincent O., Panda, Subhabrata, Pande, Saket, Pang, Zhonghe, Papacharalampous, Georgia, Perrin, Charles, Pfister, Laurent, Pimentel, Rafael, Polo, Maria J., Post, David, Sierra, Cristina Prieto, Ramos, Maria-Helena, Renner, Maik, Reynolds, Jose Eduardo, Ridolfi, Elena, Rigon, Riccardo, Riva, Monica, Robertson, David E., Rosso, Renzo, Roy, Tirthankar, Sa, Joao H. M., Salvadori, Gianfausto, Sandells, Mel, Schaefli, Bettina, Schumann, Andreas, Scolobig, Anna, Seibert, Jan, Servat, Eric, Shafiei, Mojtaba, Sharma, Ashish, Sidibe, Moussa, Sidle, Roy C., Skaugen, Thomas, Smith, Hugh, Spiessl, Sabine M., Stein, Lina, Steinsland, Ingelin, Strasser, Ulrich, Su, Bob, Szolgay, Jan, Tarboton, David, Tauro, Flavia, Thirel, Guillaume, Tian, Fuqiang, Tong, Rui, Tussupova, Kamshat, Tyralis, Hristos, Uijlenhoet, Remko, van Beek, Rens, van der Ent, Ruud J., van der Ploeg, Martine, Van Loon, Anne F., van Meerveld, Ilja, van Nooijen, Ronald, van Oel, Pieter R., Vidal, Jean-Philippe, von Freyberg, Jana, Vorogushyn, Sergiy, Wachniew, Przemyslaw, Wade, Andrew J., Ward, Philip, Westerberg, Ida K., White, Christopher, Wood, Eric F., Woods, Ross, Xu, Zongxue, Yilmaz, Koray K., and Zhang, Yongqiang

Abstract

This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused on the process-based understanding of hydrological variability and causality at all space and time scales. Increased attention to environmental change drives a new emphasis on understanding how change propagates across interfaces within the hydrological system and across disciplinary boundaries. In particular, the expansion of the human footprint raises a new set of questions related to human interactions with nature and water cycle feedbacks in the context of complex water management problems. We hope that this reflection and synthesis of the 23 unsolved problems in hydrology will help guide research efforts for some years to come.

Published
2019
Full Text
View/download PDF

40. Forest restoration: transformative trees

Author

Environmental Sciences, Landscape functioning, Geocomputation and Hydrology, Hydrologie, Large-scale Hydrology, Sheil, Douglas, Bargués-Tobella, Aida, Ilstedt, Ulrik, Ibisch, Pierre L., Makarieva, Anastassia, McAlpine, Clive, Morris, Cindy E., Murdiyarso, Daniel, Nobre, Antonio D., Poveda, Germán, Spracklen, Dominick V., Sullivan, Caroline A., Tuinenburg, Obbe A., van der Ent, Ruud J., Sills, Jennifer, Environmental Sciences, Landscape functioning, Geocomputation and Hydrology, Hydrologie, Large-scale Hydrology, Sheil, Douglas, Bargués-Tobella, Aida, Ilstedt, Ulrik, Ibisch, Pierre L., Makarieva, Anastassia, McAlpine, Clive, Morris, Cindy E., Murdiyarso, Daniel, Nobre, Antonio D., Poveda, Germán, Spracklen, Dominick V., Sullivan, Caroline A., Tuinenburg, Obbe A., van der Ent, Ruud J., and Sills, Jennifer

Published
2019

41. Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Author

Hydrologie, Landscape functioning, Geocomputation and Hydrology, Blöschl, Günter, Bierkens, Marc F.P., Chambel, Antonio, Cudennec, Christophe, Destouni, Georgia, Fiori, Aldo, Kirchner, James W., McDonnell, Jeffrey J., Savenije, Hubert H.G., Sivapalan, Murugesu, Stumpp, Christine, Toth, Elena, Volpi, Elena, Carr, Gemma, Lupton, Claire, Salinas, Josè, Széles, Borbála, Viglione, Alberto, Aksoy, Hafzullah, Allen, Scott T., Amin, Anam, Andréassian, Vazken, Arheimer, Berit, Aryal, Santosh K., Baker, Victor, Bardsley, Earl, Barendrecht, Marlies H., Bartosova, Alena, Batelaan, Okke, Berghuijs, Wouter R., Beven, Keith, Blume, Theresa, Bogaard, Thom, Borges de Amorim, Pablo, Böttcher, Michael E., Boulet, Gilles, Breinl, Korbinian, Brilly, Mitja, Brocca, Luca, Buytaert, Wouter, Castellarin, Attilio, Castelletti, Andrea, Chen, Xiaohong, Chen, Yangbo, Chen, Yuanfang, Chifflard, Peter, Claps, Pierluigi, Clark, Martyn P., Collins, Adrian L., Croke, Barry, Dathe, Annette, David, Paula C., de Barros, Felipe P.J., de Rooij, Gerrit, Di Baldassarre, Giuliano, Driscoll, Jessica M., Duethmann, Doris, Dwivedi, Ravindra, Eris, Ebru, Farmer, William H., Feiccabrino, James, Ferguson, Grant, Ferrari, Ennio, Ferraris, Stefano, Fersch, Benjamin, Finger, David, Foglia, Laura, Fowler, Keirnan, Gartsman, Boris, Gascoin, Simon, Gaume, Eric, Gelfan, Alexander, Geris, Josie, Gharari, Shervan, Gleeson, Tom, Glendell, Miriam, Gonzalez Bevacqua, Alena, González-Dugo, María P., Grimaldi, Salvatore, Gupta, A. B., Guse, Björn, Han, Dawei, Hannah, David, Harpold, Adrian, Haun, Stefan, Heal, Kate, Helfricht, Kay, Herrnegger, Mathew, Hipsey, Matthew, Hlaváčiková, Hana, Hohmann, Clara, Holko, Ladislav, Hopkinson, Christopher, Hrachowitz, Markus, Illangasekare, Tissa H., Inam, Azhar, Innocente, Camyla, Istanbulluoglu, Erkan, Jarihani, Ben, Kalantari, Zahra, Kalvans, Andis, Khanal, Sonu, Khatami, Sina, Kiesel, Jens, Kirkby, Mike, Knoben, Wouter, Kochanek, Krzysztof, Kohnová, Silvia, Kolechkina, Alla, Krause, Stefan, Kreamer, David, Kreibich, Heidi, Kunstmann, Harald, Lange, Holger, Liberato, Margarida L.R., Lindquist, Eric, Link, Timothy, Liu, Junguo, Loucks, Daniel Peter, Luce, Charles, Mahé, Gil, Makarieva, Olga, Malard, Julien, Mashtayeva, Shamshagul, Maskey, Shreedhar, Mas-Pla, Josep, Mavrova-Guirguinova, Maria, Mazzoleni, Maurizio, Mernild, Sebastian, Misstear, Bruce Dudley, Montanari, Alberto, Müller-Thomy, Hannes, Nabizadeh, Alireza, Nardi, Fernando, Neale, Christopher, Nesterova, Nataliia, Nurtaev, Bakhram, Odongo, Vincent O., Panda, Subhabrata, Pande, Saket, Pang, Zhonghe, Papacharalampous, Georgia, Perrin, Charles, Pfister, Laurent, Pimentel, Rafael, Polo, María J., Post, David, Prieto Sierra, Cristina, Ramos, Maria Helena, Renner, Maik, Reynolds, José Eduardo, Ridolfi, Elena, Rigon, Riccardo, Riva, Monica, Robertson, David E., Rosso, Renzo, Roy, Tirthankar, Sá, João H.M., Salvadori, Gianfausto, Sandells, Mel, Schaefli, Bettina, Schumann, Andreas, Scolobig, Anna, Seibert, Jan, Servat, Eric, Shafiei, Mojtaba, Sharma, Ashish, Sidibe, Moussa, Sidle, Roy C., Skaugen, Thomas, Smith, Hugh, Spiessl, Sabine M., Stein, Lina, Steinsland, Ingelin, Strasser, Ulrich, Su, Bob, Szolgay, Jan, Tarboton, David, Tauro, Flavia, Thirel, Guillaume, Tian, Fuqiang, Tong, Rui, Tussupova, Kamshat, Tyralis, Hristos, Uijlenhoet, Remko, van Beek, Rens, van der Ent, Ruud J., van der Ploeg, Martine, Van Loon, Anne F., van Meerveld, Ilja, van Nooijen, Ronald, van Oel, Pieter R., Vidal, Jean Philippe, von Freyberg, Jana, Vorogushyn, Sergiy, Wachniew, Przemyslaw, Wade, Andrew J., Ward, Philip, Westerberg, Ida K., White, Christopher, Wood, Eric F., Woods, Ross, Xu, Zongxue, Yilmaz, Koray K., Zhang, Yongqiang, Hydrologie, Landscape functioning, Geocomputation and Hydrology, Blöschl, Günter, Bierkens, Marc F.P., Chambel, Antonio, Cudennec, Christophe, Destouni, Georgia, Fiori, Aldo, Kirchner, James W., McDonnell, Jeffrey J., Savenije, Hubert H.G., Sivapalan, Murugesu, Stumpp, Christine, Toth, Elena, Volpi, Elena, Carr, Gemma, Lupton, Claire, Salinas, Josè, Széles, Borbála, Viglione, Alberto, Aksoy, Hafzullah, Allen, Scott T., Amin, Anam, Andréassian, Vazken, Arheimer, Berit, Aryal, Santosh K., Baker, Victor, Bardsley, Earl, Barendrecht, Marlies H., Bartosova, Alena, Batelaan, Okke, Berghuijs, Wouter R., Beven, Keith, Blume, Theresa, Bogaard, Thom, Borges de Amorim, Pablo, Böttcher, Michael E., Boulet, Gilles, Breinl, Korbinian, Brilly, Mitja, Brocca, Luca, Buytaert, Wouter, Castellarin, Attilio, Castelletti, Andrea, Chen, Xiaohong, Chen, Yangbo, Chen, Yuanfang, Chifflard, Peter, Claps, Pierluigi, Clark, Martyn P., Collins, Adrian L., Croke, Barry, Dathe, Annette, David, Paula C., de Barros, Felipe P.J., de Rooij, Gerrit, Di Baldassarre, Giuliano, Driscoll, Jessica M., Duethmann, Doris, Dwivedi, Ravindra, Eris, Ebru, Farmer, William H., Feiccabrino, James, Ferguson, Grant, Ferrari, Ennio, Ferraris, Stefano, Fersch, Benjamin, Finger, David, Foglia, Laura, Fowler, Keirnan, Gartsman, Boris, Gascoin, Simon, Gaume, Eric, Gelfan, Alexander, Geris, Josie, Gharari, Shervan, Gleeson, Tom, Glendell, Miriam, Gonzalez Bevacqua, Alena, González-Dugo, María P., Grimaldi, Salvatore, Gupta, A. B., Guse, Björn, Han, Dawei, Hannah, David, Harpold, Adrian, Haun, Stefan, Heal, Kate, Helfricht, Kay, Herrnegger, Mathew, Hipsey, Matthew, Hlaváčiková, Hana, Hohmann, Clara, Holko, Ladislav, Hopkinson, Christopher, Hrachowitz, Markus, Illangasekare, Tissa H., Inam, Azhar, Innocente, Camyla, Istanbulluoglu, Erkan, Jarihani, Ben, Kalantari, Zahra, Kalvans, Andis, Khanal, Sonu, Khatami, Sina, Kiesel, Jens, Kirkby, Mike, Knoben, Wouter, Kochanek, Krzysztof, Kohnová, Silvia, Kolechkina, Alla, Krause, Stefan, Kreamer, David, Kreibich, Heidi, Kunstmann, Harald, Lange, Holger, Liberato, Margarida L.R., Lindquist, Eric, Link, Timothy, Liu, Junguo, Loucks, Daniel Peter, Luce, Charles, Mahé, Gil, Makarieva, Olga, Malard, Julien, Mashtayeva, Shamshagul, Maskey, Shreedhar, Mas-Pla, Josep, Mavrova-Guirguinova, Maria, Mazzoleni, Maurizio, Mernild, Sebastian, Misstear, Bruce Dudley, Montanari, Alberto, Müller-Thomy, Hannes, Nabizadeh, Alireza, Nardi, Fernando, Neale, Christopher, Nesterova, Nataliia, Nurtaev, Bakhram, Odongo, Vincent O., Panda, Subhabrata, Pande, Saket, Pang, Zhonghe, Papacharalampous, Georgia, Perrin, Charles, Pfister, Laurent, Pimentel, Rafael, Polo, María J., Post, David, Prieto Sierra, Cristina, Ramos, Maria Helena, Renner, Maik, Reynolds, José Eduardo, Ridolfi, Elena, Rigon, Riccardo, Riva, Monica, Robertson, David E., Rosso, Renzo, Roy, Tirthankar, Sá, João H.M., Salvadori, Gianfausto, Sandells, Mel, Schaefli, Bettina, Schumann, Andreas, Scolobig, Anna, Seibert, Jan, Servat, Eric, Shafiei, Mojtaba, Sharma, Ashish, Sidibe, Moussa, Sidle, Roy C., Skaugen, Thomas, Smith, Hugh, Spiessl, Sabine M., Stein, Lina, Steinsland, Ingelin, Strasser, Ulrich, Su, Bob, Szolgay, Jan, Tarboton, David, Tauro, Flavia, Thirel, Guillaume, Tian, Fuqiang, Tong, Rui, Tussupova, Kamshat, Tyralis, Hristos, Uijlenhoet, Remko, van Beek, Rens, van der Ent, Ruud J., van der Ploeg, Martine, Van Loon, Anne F., van Meerveld, Ilja, van Nooijen, Ronald, van Oel, Pieter R., Vidal, Jean Philippe, von Freyberg, Jana, Vorogushyn, Sergiy, Wachniew, Przemyslaw, Wade, Andrew J., Ward, Philip, Westerberg, Ida K., White, Christopher, Wood, Eric F., Woods, Ross, Xu, Zongxue, Yilmaz, Koray K., and Zhang, Yongqiang

Published
2019

42. Make EU trade with Brazil sustainable

Author

Kehoe, Laura, Reis, Tiago, Virah-Sawmy, Malika, Balmford, Andrew, Kuemmerle, Tobias, Knohl, Alexander, Antonelli, Alexandre, Hochkirch, Axel, Vira, Bhaskar, Massa, Bruno, Peres, Carlos A., Ammer, Christian, Goerg, Christoph, Schneider, Christoph, Curtis, David, de la Pena, Eduardo, Tello, Enric, Sperfeld, Erik, Corbera, Esteve, Morelli, Federico, Valladares, Fernando, Peterson, Garry, Hide, Geoff, Mace, Georgina, Kallis, Giorgos, Olsson, Gunilla Almered, Brumelis, Guntis, Alexanderson, Helena, Haberl, Helmut, Nuissl, Henning, Kreft, Holger, Ghazoul, Jaboury, Piotrowski, Jan A., Macdiarmid, Jennie, Newig, Jens, Fischer, Joern, Altringham, John, Gledhill, John, Nielsen, Jonas O., Mueller, Joerg, Palmeirim, Jorge, Barlow, Jos, Alonso, Juan C., Presa Asencio, Juan Jose, Steinberger, Julia K., Jones, Julia Patricia Gordon, Cabral, Juliano Sarmento, Dengler, Juergen, Stibral, Karel, Erb, Karlheinz, Rothhaupt, Karl-Otto, Wiegand, Kerstin, Cassar, Louis F., Lens, Luc, Rosalino, Luis Miguel, Wassen, M. J., Stenseke, Marie, Fischer-Kowalski, Marina, Diaz, Mario, Rounsevell, Mark, van Kleunen, Mark, Junginger, Martin, Kaltenpoth, Martin, Zobel, Martin, Weigend, Maximilian, Partel, Meelis, Schilthuizen, Menno, Bastos Araujo, Miguel, Haklay, Muki, Eisenhauer, Nico, Selva, Nuria, Mertz, Ole, Meyfroidt, Patrick, Borges, Paulo A. V., Kovar, Pavel, Smith, Pete, Verburg, Peter, Pysek, Petr, Seppelt, Ralf, Valentini, Riccardo, Whittaker, Robert J., Henrique Faria, Sergio, Ulgiati, Sergio, Loetters, Stefan, Bjorck, Svante, Larson, Sven Ake, Tscharntke, Teja, Domingos, Tiago, Krueger, Tobias, Pascual, Unai, Olsson, Urban, Kati, Vassiliki, Winiwarter, Verena, Reyes-Garcia, Victoria, Vajda, Vivi, Sutherland, William J., de Waroux, Yann le Polain, Buckley, Yvonne, Rammig, Anja, Kasimir, Asa, Crona, Beatrice, Sindicic, Magda, Persson, Martin, Lapka, Miloslav, Di Gregorio, Monica, Hahn, Thomas, Boonstra, Wiebren, Lipsky, Zdenek, Zucaro, A., Roeder, Achim, Lopez Baucells, Adria, Danet, Alain, Franco, Aldina, Nieto Roman, Alejandra, Lehikoinen, Aleksi, Collalti, Alessio, Keller, Alexander, Strugariu, Alexandru, Perrigo, Allison, Fernandez-Llamazares, Alvaro, Salaseviciene, Alvija, Hinsley, Amy, Santos, Ana M. C., Novoa, Ana, Rodrigues, Ana, Mascarenhas, Andre, Martins, Andrea Damacena, Holzschuh, Andrea, Meseguer, Andrea S., Hadjichambis, Andreas, Mayer, Andreas, Hacket-Pain, Andrew, Ringsmuth, Andrew, de Frutos, Angel, Stein, Anke, Heikkinen, Anna, Smith, Annabel, Bjoersne, Anna-Karin, Bagneres, Anne-Genevieve, Machordom, Annie, Kristin, Anton, Ghoddousi, Arash, Staal, Arie, Martin, Arnaud, Taylor, Astrid, Borrell, Asuncion, Marescaux, Audrey, Torres, Aurora, Helm, Aveliina, Bauer, Barbara, Smetschka, Barbara, Rodriguez-Labajos, Beatriz, Peco, Begona, Gambin, Belinda, Celine, Bellard, Phalan, Ben, Cotta, Benedetta, Rugani, Benedetto, Jarcuska, Benjamin, Leroy, Boris, Nikolov, Boris Petrov, Milchev, Boyan Petrov, Brown, Calum, Ritter, Camila Duarte, Gomes, Carmen Bessa, Meyer, Carsten, Munteanu, Catalina, Penone, Caterina, Friis, Cecilie, Teplitsky, Celine, Roemer, Charlotte, Orland, Chloe, Voigt, Christian C., Levers, Christian, Zang, Christian, Bacon, Christine D., Meyer, Christoph, Wordley, Claire, Grilo, Clara, Cattaneo, Claudio, Battisti, Corrado, Banks-Leite, Cristina, Zurell, Damaris, Challender, Dan, Mueller, Daniel, Matenaar, Daniela, Silvestro, Daniele, McKay, David Armstrong, Buckley, David, Frantz, David, Gremillet, David, Mateos, David Moreno, Sanchez-Fernandez, David, Vieites, David, Ascoli, Davide, Arlt, Debora, Louis, Deharveng, Zemp, Delphine Clara, Strubbe, Diederik, Gil, Diego, Llusia, Diego, Bennett, Dominic J., Chobanov, Dragan Petrov, Aguilera, Eduardo, Oliveira, Eduardo, Pynegar, Edwin L., Granda, Elena, Grieco, Elisa, Conrad, Elisabeth, Revilla, Eloy, Lindkvist, Emilie, Caprio, Enrico, zu Ermgassen, Erasmus, Berenguer, Erika, Ochu, Erinma, Polaina, Ester, Nuernberger, Fabian, Esculier, Fabien, de Castro, Fabio, Albanito, Fabrizio, Langerwisch, Fanny, Batsleer, Femke, Ascensao, Fernando, Moyano, Fernando Esteban, Sayol, Ferran, Buzzetti, Filippo Maria, Eiro, Flavio, Volaire, Florence, Gollnow, Florian, Menzel, Florian, Pilo, Francesca, Moreira, Francisco, Briens, Francois, Essl, Franz, Vlahos, George, Billen, Gilles, Vacchiano, Giorgio, Wong, Grace, Gruychev, Gradimir Valentinov, Fandos, Guillermo, Petter, Gunnar, Sinare, Hanna, Mumby, Hannah S., Cottyn, Hanne, Seebens, Hanno, Bjorklund, Heidi, Schroeder, Heike, Lopez Hernandez, Heriberto D., Rebelo, Hugo, Chenet, Hugues, De la Riva, Ignacio, Torre, Ignasi, Aalders, Inge, Grass, Ingo, Chuine, Isabelle, Goepel, Jan, Wieringa, Jan J., Engler, Jan O., Pergl, Jan, Schnitzler, Jan, Vavra, Jan, Medvedovic, Jasna, Cabello, Javier, Martin, Jean-Louis, Mutke, Jens, Lewis, Jerome, da Silva, Jessica Fonseca, Marull, Joan, Carvalho, Joana, Carnicer, Jofre, Enqvist, Johan, Simaika, John P., Noguera, Jose C., Blanco Moreno, Jose M., Bruna, Josef, Garnier, Josette, Fargallo, Juan A., Rocha, Juan Carlos, Carrillo, Juan D., Infante-Amate, Juan, Traba Diaz, Juan, Schleicher, Judith, Simon, Judy, Noe, Julia Le, Gerlach, Justin, Eriksson, K. Martin, Prince, Karine, Ostapowicz, Katarzyna, Stajerova, Katerina, Farrell, Katharine N., Snell, Katherine, Yates, Katherine, Fleischer, Katrin, Darras, Kevin, Schumacher, Kim, Orach, Kirill, Thonicke, Kirsten, Riede, Klaus, Heller, Klaus-Gerhard, Wang-Erlandsson, Lan, Pereira, Laura, Riggi, Laura, Florez, Laura V., Emperaire, Laure, Durieux, Laurent, Tatin, Laurent, Rozylowicz, Laurentiu, Latella, Leonardo, Andresen, Louise C., Cahen-Fourot, Louison, de Agua, Luis Borda, Boto, Luis, Lassaletta, Luis, Amo, Luisa, Sekerka, Lukas, Morales, Manuel B., Macia, Manuel J., Suarez, Manuela Gonzalez, Cabeza, Mar, Londo, Marc, Pollet, Marc, Schwieder, Marcel, Peters, Marcell K., D'Amico, Marcello, Casazza, Marco, Florencio, Margarita, Felipe-Lucia, Maria, Gebara, Maria Fernanda, Johansson, Maria, Garcia, Maria Mancilla, Piquer-Rodriguez, Maria, Tengo, Maria, Elias, Marianne, Leve, Marine, Conde, Marta, Winter, Marten, Koster, Martijn, Mayer, Martin, Salek, Martin, Schlerf, Martin, Sullivan, Martin, Baumann, Matthias, Pichler, Melanie, Marselle, Melissa, Oddie, Melissa, Razanajatovo, Mialy, Borregaard, Michael Krabbe, Theurl, Michaela C., Hernandez, Miguel, Krofel, Miha, Kechev, Mihail Ognianov, Clark, Mike, Rands, Mike, Antal, Miklos, Pucetaite, Milda, Islar, Mine, Truong, Minh-Xuan A., Vighi, Morgana, Johanisova, Nadia, Prat, Narcis, Escobar, Neus, Deguines, Nicolas, Rust, Niki, Zafra-Calvo, Noelia, Maurel, Noelie, Wagner, Norman, Fitton, Nuala, Ostermann, Ole, Panferov, Oleg, Ange, Olivia, Canals, Oriol, Englund, Oskar, De Smedt, Pallieter, Petridis, Panos, Heikkurinen, Pasi, Weigelt, Patrick, Henriksson, Patrik J. G., de Castro, Paula Drummond, Matos-Maravi, Pavel, Duran, Paz, Aragon, Pedro, Cardoso, Pedro, Leitao, Pedro J., Hosner, Peter A., Biedermann, Peter, Keil, Petr, Petrik, Petr, Martin, Philip, Bocquillon, Pierre, Renaud, Pierre-Cyril, Addison, Prue, Antwis, Rachael, Carmenta, Rachel, Barrientos, Rafael, Smith, Rebecca, Rocha, Ricardo, Fuchs, Richard, Felix, Rob, Kanka, Robert, Aguilee, Robin, Padro Caminal, Roc, Libbrecht, Romain, Lorrilliere, Romain, van der Ent, Ruud J., Henders, Sabine, Pueyo, Salvador, Roturier, Samuel, Jacobs, Sander, Lavorel, Sandra, Leonhardt, Sara Diana, Fraixedas, Sara, Villen-Perez, Sara, Cornell, Sarah, Redlich, Sarah, De Smedt, Sebastian, van der Linden, Sebastian, Perez-Ortega, Sergio, Petrovan, Silviu, Cesarz, Simone, Sjoberg, Sissel, Caillon, Sophie, Schindler, Stefan, Trogisch, Stefan, Taiti, Stefano, Oppel, Steffen, Lutter, Stephan, Garnett, Tara, Guedes, Thais, Wanger, Thomas Cherico, Kastner, Thomas, Worthington, Thomas, Daw, Tim, Schmoll, Tim, McPhearson, Timon, Engl, Tobias, Rutting, Tobias, Vaclavik, Tomas, Jucker, Tommaso, Robillard, Tony, Krause, Torsten, Ljubomirov, Toshko, Aavik, Tsipe, Richardson, Vanessa A., Masterson, Vanessa Anne, Seufert, Verena, Cathy, Vet Gibault, Colino Rabanal, Victor, Montade, Vincent, Thieu, Vincent, Sober, Virve, Morin, Xavier, Mehrabi, Zia, Gonzalez, Adriana Trompetero, Sanz-Cobena, Alberto, Christie, Alec Philip, Romero-Munoz, Alfredo, Dauriach, Alice, Queiroz, Allan Souza, Golland, Ami, Evans, Amy Louise, Cordero, Ana Maria Araujo, Dara, Andrey, Rilovic, Andro, Pedersen, Anna Frohn, Csergo, Anna Maria, Lewerentz, Anne, Monserand, Antoine, Valdecasas, Antonio G., Doherty, Anya, Semper-Pascual, Asuncion, Bleyhl, Benjamin, Rutschmann, Benjamin, Bongalov, Boris, Hankerson, Brett, Heylen, Brigitte, Alonso-Alvarez, Carlos, Comandulli, Carolina, Frossard, Carolina M., Mckeon, Caroline, Godde, Cecile, Palm, Celinda, Singh, Chandrakant, Sieger, Charlotte Sophie, Ohrling, Christian, Paitan, Claudia Parra, Cooper, Conor, Edler, Daniel, Roessler, Daniela C., Kessner-Beierlein, Daniela, Garcia del Amo, David, Lopez Bosch, David, Gueldner, Dino, Noll, Domink, Motivans, Elena, Canteri, Elisabetta, Garnett, Emma, Malecore, Eva, Brambach, Fabian, Ruedenauer, Fabian, Yin, Fang, Hurtado, Fernando, Mempel, Finn, de Freitas, Flavio Luiz Mazzaro, Pendrill, Florence, Leijten, Floris, Somma, Francesca, Schug, Franz, De Knijf, Geert, Peterson, Gustaf, Pe'er, Guy, Booth, Hollie, Rhee, Howon, Staude, Ingmar, Gherghel, Iulian, Vila Traver, Jaime, Kerner, Janika, Hinton, Jennifer, Hortal, Joaquin, Persson, Joel, Uddling, Johan, Coenen, Johanna, Geldmann, Jonas, Geschke, Jonas, Juergensen, Jonathan, Lobo, Jorge M., Skejo, Josip, Heinen, Julia Helena, Schuenzel, Julia, Daniel-Ferreira, Juliana, Christophe Piquet, Julien, Murtough, Katie L., Prevel, Leonie, Hissa, Leticia B. V., af Segerstad, Louise Hard, Willemse, Luc, Benavides, Lucia, Sovova, Lucie, Figueiredo, Ludmilla, Leidinger, Ludwig, Piemontese, Luigi, da Fonte, Luis Fernando Marin, Moreta, Lys Sanz, Bhan, Manan, Toledo-Hernandez, Manuel, Engert, Manuela, Davoli, Marco, Mas Navarro, Maria, Voigt, Maria, Zirion, Maria, Wandl, Marie-Theres, Kipson, Marina, Johnson, Mark D., Lukic, Marko, Goula, Marta, Jung, Martin, Nunes, Matheus Henrique, Alvarez, Matheus Rodriguez, van den Burg, Matthijs P., Guerrero, Mayra Daniela Pena, Greenfield, Michael, Lobmann, Michael, Nygren, Michelle, Guth, Miriam Karen, Koh, Niak, Stanek, Nicola, Roux, Nicolas, Karagouni, Niki, Tiralla, Nina, Mairota, Paola, Savaget, Paulo, von Doehren, Peer, Benyei, Petra, Lena, Philippe, Rufin, Philippe, Janke, Rebekka, Santagata, Remo, Motta, Renzo, Battiston, Roberto, Oyanedel, Rodrigo, Bernardo-Madrid, Ruben, Vasconcelos, Sasha, Henriques, Sergio, Bager, Simon L., Qin, Siyu, Ivkovic, Slobodan, Cooke, Sophia, Ernst, Stefan, Schmelzer, Stefan, da Silva, Sven, Faberova, Tamara, Enseroth, Tanja, De Marzo, Teresa, Pienkowski, Thomas, Engel, Thore, Boehnert, Tim, Swinfield, Tom, Kurdikova, Vendula, Chvatalova, Veronika, Lopez-Marquez, Violeta, Arlidge, William, Zhang, Zhijie, Kehoe, Laura, Reis, Tiago, Virah-Sawmy, Malika, Balmford, Andrew, Kuemmerle, Tobias, Knohl, Alexander, Antonelli, Alexandre, Hochkirch, Axel, Vira, Bhaskar, Massa, Bruno, Peres, Carlos A., Ammer, Christian, Goerg, Christoph, Schneider, Christoph, Curtis, David, de la Pena, Eduardo, Tello, Enric, Sperfeld, Erik, Corbera, Esteve, Morelli, Federico, Valladares, Fernando, Peterson, Garry, Hide, Geoff, Mace, Georgina, Kallis, Giorgos, Olsson, Gunilla Almered, Brumelis, Guntis, Alexanderson, Helena, Haberl, Helmut, Nuissl, Henning, Kreft, Holger, Ghazoul, Jaboury, Piotrowski, Jan A., Macdiarmid, Jennie, Newig, Jens, Fischer, Joern, Altringham, John, Gledhill, John, Nielsen, Jonas O., Mueller, Joerg, Palmeirim, Jorge, Barlow, Jos, Alonso, Juan C., Presa Asencio, Juan Jose, Steinberger, Julia K., Jones, Julia Patricia Gordon, Cabral, Juliano Sarmento, Dengler, Juergen, Stibral, Karel, Erb, Karlheinz, Rothhaupt, Karl-Otto, Wiegand, Kerstin, Cassar, Louis F., Lens, Luc, Rosalino, Luis Miguel, Wassen, M. J., Stenseke, Marie, Fischer-Kowalski, Marina, Diaz, Mario, Rounsevell, Mark, van Kleunen, Mark, Junginger, Martin, Kaltenpoth, Martin, Zobel, Martin, Weigend, Maximilian, Partel, Meelis, Schilthuizen, Menno, Bastos Araujo, Miguel, Haklay, Muki, Eisenhauer, Nico, Selva, Nuria, Mertz, Ole, Meyfroidt, Patrick, Borges, Paulo A. V., Kovar, Pavel, Smith, Pete, Verburg, Peter, Pysek, Petr, Seppelt, Ralf, Valentini, Riccardo, Whittaker, Robert J., Henrique Faria, Sergio, Ulgiati, Sergio, Loetters, Stefan, Bjorck, Svante, Larson, Sven Ake, Tscharntke, Teja, Domingos, Tiago, Krueger, Tobias, Pascual, Unai, Olsson, Urban, Kati, Vassiliki, Winiwarter, Verena, Reyes-Garcia, Victoria, Vajda, Vivi, Sutherland, William J., de Waroux, Yann le Polain, Buckley, Yvonne, Rammig, Anja, Kasimir, Asa, Crona, Beatrice, Sindicic, Magda, Persson, Martin, Lapka, Miloslav, Di Gregorio, Monica, Hahn, Thomas, Boonstra, Wiebren, Lipsky, Zdenek, Zucaro, A., Roeder, Achim, Lopez Baucells, Adria, Danet, Alain, Franco, Aldina, Nieto Roman, Alejandra, Lehikoinen, Aleksi, Collalti, Alessio, Keller, Alexander, Strugariu, Alexandru, Perrigo, Allison, Fernandez-Llamazares, Alvaro, Salaseviciene, Alvija, Hinsley, Amy, Santos, Ana M. C., Novoa, Ana, Rodrigues, Ana, Mascarenhas, Andre, Martins, Andrea Damacena, Holzschuh, Andrea, Meseguer, Andrea S., Hadjichambis, Andreas, Mayer, Andreas, Hacket-Pain, Andrew, Ringsmuth, Andrew, de Frutos, Angel, Stein, Anke, Heikkinen, Anna, Smith, Annabel, Bjoersne, Anna-Karin, Bagneres, Anne-Genevieve, Machordom, Annie, Kristin, Anton, Ghoddousi, Arash, Staal, Arie, Martin, Arnaud, Taylor, Astrid, Borrell, Asuncion, Marescaux, Audrey, Torres, Aurora, Helm, Aveliina, Bauer, Barbara, Smetschka, Barbara, Rodriguez-Labajos, Beatriz, Peco, Begona, Gambin, Belinda, Celine, Bellard, Phalan, Ben, Cotta, Benedetta, Rugani, Benedetto, Jarcuska, Benjamin, Leroy, Boris, Nikolov, Boris Petrov, Milchev, Boyan Petrov, Brown, Calum, Ritter, Camila Duarte, Gomes, Carmen Bessa, Meyer, Carsten, Munteanu, Catalina, Penone, Caterina, Friis, Cecilie, Teplitsky, Celine, Roemer, Charlotte, Orland, Chloe, Voigt, Christian C., Levers, Christian, Zang, Christian, Bacon, Christine D., Meyer, Christoph, Wordley, Claire, Grilo, Clara, Cattaneo, Claudio, Battisti, Corrado, Banks-Leite, Cristina, Zurell, Damaris, Challender, Dan, Mueller, Daniel, Matenaar, Daniela, Silvestro, Daniele, McKay, David Armstrong, Buckley, David, Frantz, David, Gremillet, David, Mateos, David Moreno, Sanchez-Fernandez, David, Vieites, David, Ascoli, Davide, Arlt, Debora, Louis, Deharveng, Zemp, Delphine Clara, Strubbe, Diederik, Gil, Diego, Llusia, Diego, Bennett, Dominic J., Chobanov, Dragan Petrov, Aguilera, Eduardo, Oliveira, Eduardo, Pynegar, Edwin L., Granda, Elena, Grieco, Elisa, Conrad, Elisabeth, Revilla, Eloy, Lindkvist, Emilie, Caprio, Enrico, zu Ermgassen, Erasmus, Berenguer, Erika, Ochu, Erinma, Polaina, Ester, Nuernberger, Fabian, Esculier, Fabien, de Castro, Fabio, Albanito, Fabrizio, Langerwisch, Fanny, Batsleer, Femke, Ascensao, Fernando, Moyano, Fernando Esteban, Sayol, Ferran, Buzzetti, Filippo Maria, Eiro, Flavio, Volaire, Florence, Gollnow, Florian, Menzel, Florian, Pilo, Francesca, Moreira, Francisco, Briens, Francois, Essl, Franz, Vlahos, George, Billen, Gilles, Vacchiano, Giorgio, Wong, Grace, Gruychev, Gradimir Valentinov, Fandos, Guillermo, Petter, Gunnar, Sinare, Hanna, Mumby, Hannah S., Cottyn, Hanne, Seebens, Hanno, Bjorklund, Heidi, Schroeder, Heike, Lopez Hernandez, Heriberto D., Rebelo, Hugo, Chenet, Hugues, De la Riva, Ignacio, Torre, Ignasi, Aalders, Inge, Grass, Ingo, Chuine, Isabelle, Goepel, Jan, Wieringa, Jan J., Engler, Jan O., Pergl, Jan, Schnitzler, Jan, Vavra, Jan, Medvedovic, Jasna, Cabello, Javier, Martin, Jean-Louis, Mutke, Jens, Lewis, Jerome, da Silva, Jessica Fonseca, Marull, Joan, Carvalho, Joana, Carnicer, Jofre, Enqvist, Johan, Simaika, John P., Noguera, Jose C., Blanco Moreno, Jose M., Bruna, Josef, Garnier, Josette, Fargallo, Juan A., Rocha, Juan Carlos, Carrillo, Juan D., Infante-Amate, Juan, Traba Diaz, Juan, Schleicher, Judith, Simon, Judy, Noe, Julia Le, Gerlach, Justin, Eriksson, K. Martin, Prince, Karine, Ostapowicz, Katarzyna, Stajerova, Katerina, Farrell, Katharine N., Snell, Katherine, Yates, Katherine, Fleischer, Katrin, Darras, Kevin, Schumacher, Kim, Orach, Kirill, Thonicke, Kirsten, Riede, Klaus, Heller, Klaus-Gerhard, Wang-Erlandsson, Lan, Pereira, Laura, Riggi, Laura, Florez, Laura V., Emperaire, Laure, Durieux, Laurent, Tatin, Laurent, Rozylowicz, Laurentiu, Latella, Leonardo, Andresen, Louise C., Cahen-Fourot, Louison, de Agua, Luis Borda, Boto, Luis, Lassaletta, Luis, Amo, Luisa, Sekerka, Lukas, Morales, Manuel B., Macia, Manuel J., Suarez, Manuela Gonzalez, Cabeza, Mar, Londo, Marc, Pollet, Marc, Schwieder, Marcel, Peters, Marcell K., D'Amico, Marcello, Casazza, Marco, Florencio, Margarita, Felipe-Lucia, Maria, Gebara, Maria Fernanda, Johansson, Maria, Garcia, Maria Mancilla, Piquer-Rodriguez, Maria, Tengo, Maria, Elias, Marianne, Leve, Marine, Conde, Marta, Winter, Marten, Koster, Martijn, Mayer, Martin, Salek, Martin, Schlerf, Martin, Sullivan, Martin, Baumann, Matthias, Pichler, Melanie, Marselle, Melissa, Oddie, Melissa, Razanajatovo, Mialy, Borregaard, Michael Krabbe, Theurl, Michaela C., Hernandez, Miguel, Krofel, Miha, Kechev, Mihail Ognianov, Clark, Mike, Rands, Mike, Antal, Miklos, Pucetaite, Milda, Islar, Mine, Truong, Minh-Xuan A., Vighi, Morgana, Johanisova, Nadia, Prat, Narcis, Escobar, Neus, Deguines, Nicolas, Rust, Niki, Zafra-Calvo, Noelia, Maurel, Noelie, Wagner, Norman, Fitton, Nuala, Ostermann, Ole, Panferov, Oleg, Ange, Olivia, Canals, Oriol, Englund, Oskar, De Smedt, Pallieter, Petridis, Panos, Heikkurinen, Pasi, Weigelt, Patrick, Henriksson, Patrik J. G., de Castro, Paula Drummond, Matos-Maravi, Pavel, Duran, Paz, Aragon, Pedro, Cardoso, Pedro, Leitao, Pedro J., Hosner, Peter A., Biedermann, Peter, Keil, Petr, Petrik, Petr, Martin, Philip, Bocquillon, Pierre, Renaud, Pierre-Cyril, Addison, Prue, Antwis, Rachael, Carmenta, Rachel, Barrientos, Rafael, Smith, Rebecca, Rocha, Ricardo, Fuchs, Richard, Felix, Rob, Kanka, Robert, Aguilee, Robin, Padro Caminal, Roc, Libbrecht, Romain, Lorrilliere, Romain, van der Ent, Ruud J., Henders, Sabine, Pueyo, Salvador, Roturier, Samuel, Jacobs, Sander, Lavorel, Sandra, Leonhardt, Sara Diana, Fraixedas, Sara, Villen-Perez, Sara, Cornell, Sarah, Redlich, Sarah, De Smedt, Sebastian, van der Linden, Sebastian, Perez-Ortega, Sergio, Petrovan, Silviu, Cesarz, Simone, Sjoberg, Sissel, Caillon, Sophie, Schindler, Stefan, Trogisch, Stefan, Taiti, Stefano, Oppel, Steffen, Lutter, Stephan, Garnett, Tara, Guedes, Thais, Wanger, Thomas Cherico, Kastner, Thomas, Worthington, Thomas, Daw, Tim, Schmoll, Tim, McPhearson, Timon, Engl, Tobias, Rutting, Tobias, Vaclavik, Tomas, Jucker, Tommaso, Robillard, Tony, Krause, Torsten, Ljubomirov, Toshko, Aavik, Tsipe, Richardson, Vanessa A., Masterson, Vanessa Anne, Seufert, Verena, Cathy, Vet Gibault, Colino Rabanal, Victor, Montade, Vincent, Thieu, Vincent, Sober, Virve, Morin, Xavier, Mehrabi, Zia, Gonzalez, Adriana Trompetero, Sanz-Cobena, Alberto, Christie, Alec Philip, Romero-Munoz, Alfredo, Dauriach, Alice, Queiroz, Allan Souza, Golland, Ami, Evans, Amy Louise, Cordero, Ana Maria Araujo, Dara, Andrey, Rilovic, Andro, Pedersen, Anna Frohn, Csergo, Anna Maria, Lewerentz, Anne, Monserand, Antoine, Valdecasas, Antonio G., Doherty, Anya, Semper-Pascual, Asuncion, Bleyhl, Benjamin, Rutschmann, Benjamin, Bongalov, Boris, Hankerson, Brett, Heylen, Brigitte, Alonso-Alvarez, Carlos, Comandulli, Carolina, Frossard, Carolina M., Mckeon, Caroline, Godde, Cecile, Palm, Celinda, Singh, Chandrakant, Sieger, Charlotte Sophie, Ohrling, Christian, Paitan, Claudia Parra, Cooper, Conor, Edler, Daniel, Roessler, Daniela C., Kessner-Beierlein, Daniela, Garcia del Amo, David, Lopez Bosch, David, Gueldner, Dino, Noll, Domink, Motivans, Elena, Canteri, Elisabetta, Garnett, Emma, Malecore, Eva, Brambach, Fabian, Ruedenauer, Fabian, Yin, Fang, Hurtado, Fernando, Mempel, Finn, de Freitas, Flavio Luiz Mazzaro, Pendrill, Florence, Leijten, Floris, Somma, Francesca, Schug, Franz, De Knijf, Geert, Peterson, Gustaf, Pe'er, Guy, Booth, Hollie, Rhee, Howon, Staude, Ingmar, Gherghel, Iulian, Vila Traver, Jaime, Kerner, Janika, Hinton, Jennifer, Hortal, Joaquin, Persson, Joel, Uddling, Johan, Coenen, Johanna, Geldmann, Jonas, Geschke, Jonas, Juergensen, Jonathan, Lobo, Jorge M., Skejo, Josip, Heinen, Julia Helena, Schuenzel, Julia, Daniel-Ferreira, Juliana, Christophe Piquet, Julien, Murtough, Katie L., Prevel, Leonie, Hissa, Leticia B. V., af Segerstad, Louise Hard, Willemse, Luc, Benavides, Lucia, Sovova, Lucie, Figueiredo, Ludmilla, Leidinger, Ludwig, Piemontese, Luigi, da Fonte, Luis Fernando Marin, Moreta, Lys Sanz, Bhan, Manan, Toledo-Hernandez, Manuel, Engert, Manuela, Davoli, Marco, Mas Navarro, Maria, Voigt, Maria, Zirion, Maria, Wandl, Marie-Theres, Kipson, Marina, Johnson, Mark D., Lukic, Marko, Goula, Marta, Jung, Martin, Nunes, Matheus Henrique, Alvarez, Matheus Rodriguez, van den Burg, Matthijs P., Guerrero, Mayra Daniela Pena, Greenfield, Michael, Lobmann, Michael, Nygren, Michelle, Guth, Miriam Karen, Koh, Niak, Stanek, Nicola, Roux, Nicolas, Karagouni, Niki, Tiralla, Nina, Mairota, Paola, Savaget, Paulo, von Doehren, Peer, Benyei, Petra, Lena, Philippe, Rufin, Philippe, Janke, Rebekka, Santagata, Remo, Motta, Renzo, Battiston, Roberto, Oyanedel, Rodrigo, Bernardo-Madrid, Ruben, Vasconcelos, Sasha, Henriques, Sergio, Bager, Simon L., Qin, Siyu, Ivkovic, Slobodan, Cooke, Sophia, Ernst, Stefan, Schmelzer, Stefan, da Silva, Sven, Faberova, Tamara, Enseroth, Tanja, De Marzo, Teresa, Pienkowski, Thomas, Engel, Thore, Boehnert, Tim, Swinfield, Tom, Kurdikova, Vendula, Chvatalova, Veronika, Lopez-Marquez, Violeta, Arlidge, William, and Zhang, Zhijie

Published
2019
Full Text
View/download PDF

43. Forest restoration: Transformative trees

Author

Sheil, Douglas, primary, Bargués-Tobella, Aida, additional, Ilstedt, Ulrik, additional, Ibisch, Pierre L., additional, Makarieva, Anastassia, additional, McAlpine, Clive, additional, Morris, Cindy E., additional, Murdiyarso, Daniel, additional, Nobre, Antonio D., additional, Poveda, Germán, additional, Spracklen, Dominick V., additional, Sullivan, Caroline A., additional, Tuinenburg, Obbe A., additional, and van der Ent, Ruud J., additional

Published
2019
Full Text
View/download PDF

44. Twenty-three unsolved problems in hydrology (UPH) – a community perspective

Author

Blöschl, Günter, primary, Bierkens, Marc F.P., additional, Chambel, Antonio, additional, Cudennec, Christophe, additional, Destouni, Georgia, additional, Fiori, Aldo, additional, Kirchner, James W., additional, McDonnell, Jeffrey J., additional, Savenije, Hubert H.G., additional, Sivapalan, Murugesu, additional, Stumpp, Christine, additional, Toth, Elena, additional, Volpi, Elena, additional, Carr, Gemma, additional, Lupton, Claire, additional, Salinas, Josè, additional, Széles, Borbála, additional, Viglione, Alberto, additional, Aksoy, Hafzullah, additional, Allen, Scott T., additional, Amin, Anam, additional, Andréassian, Vazken, additional, Arheimer, Berit, additional, Aryal, Santosh K., additional, Baker, Victor, additional, Bardsley, Earl, additional, Barendrecht, Marlies H., additional, Bartosova, Alena, additional, Batelaan, Okke, additional, Berghuijs, Wouter R., additional, Beven, Keith, additional, Blume, Theresa, additional, Bogaard, Thom, additional, Borges de Amorim, Pablo, additional, Böttcher, Michael E., additional, Boulet, Gilles, additional, Breinl, Korbinian, additional, Brilly, Mitja, additional, Brocca, Luca, additional, Buytaert, Wouter, additional, Castellarin, Attilio, additional, Castelletti, Andrea, additional, Chen, Xiaohong, additional, Chen, Yangbo, additional, Chen, Yuanfang, additional, Chifflard, Peter, additional, Claps, Pierluigi, additional, Clark, Martyn P., additional, Collins, Adrian L., additional, Croke, Barry, additional, Dathe, Annette, additional, David, Paula C., additional, de Barros, Felipe P. J., additional, de Rooij, Gerrit, additional, Di Baldassarre, Giuliano, additional, Driscoll, Jessica M., additional, Duethmann, Doris, additional, Dwivedi, Ravindra, additional, Eris, Ebru, additional, Farmer, William H., additional, Feiccabrino, James, additional, Ferguson, Grant, additional, Ferrari, Ennio, additional, Ferraris, Stefano, additional, Fersch, Benjamin, additional, Finger, David, additional, Foglia, Laura, additional, Fowler, Keirnan, additional, Gartsman, Boris, additional, Gascoin, Simon, additional, Gaume, Eric, additional, Gelfan, Alexander, additional, Geris, Josie, additional, Gharari, Shervan, additional, Gleeson, Tom, additional, Glendell, Miriam, additional, Gonzalez Bevacqua, Alena, additional, González-Dugo, María P., additional, Grimaldi, Salvatore, additional, Gupta, A. B., additional, Guse, Björn, additional, Han, Dawei, additional, Hannah, David, additional, Harpold, Adrian, additional, Haun, Stefan, additional, Heal, Kate, additional, Helfricht, Kay, additional, Herrnegger, Mathew, additional, Hipsey, Matthew, additional, Hlaváčiková, Hana, additional, Hohmann, Clara, additional, Holko, Ladislav, additional, Hopkinson, Christopher, additional, Hrachowitz, Markus, additional, Illangasekare, Tissa H., additional, Inam, Azhar, additional, Innocente, Camyla, additional, Istanbulluoglu, Erkan, additional, Jarihani, Ben, additional, Kalantari, Zahra, additional, Kalvans, Andis, additional, Khanal, Sonu, additional, Khatami, Sina, additional, Kiesel, Jens, additional, Kirkby, Mike, additional, Knoben, Wouter, additional, Kochanek, Krzysztof, additional, Kohnová, Silvia, additional, Kolechkina, Alla, additional, Krause, Stefan, additional, Kreamer, David, additional, Kreibich, Heidi, additional, Kunstmann, Harald, additional, Lange, Holger, additional, Liberato, Margarida L. R., additional, Lindquist, Eric, additional, Link, Timothy, additional, Liu, Junguo, additional, Loucks, Daniel Peter, additional, Luce, Charles, additional, Mahé, Gil, additional, Makarieva, Olga, additional, Malard, Julien, additional, Mashtayeva, Shamshagul, additional, Maskey, Shreedhar, additional, Mas-Pla, Josep, additional, Mavrova-Guirguinova, Maria, additional, Mazzoleni, Maurizio, additional, Mernild, Sebastian, additional, Misstear, Bruce Dudley, additional, Montanari, Alberto, additional, Müller-Thomy, Hannes, additional, Nabizadeh, Alireza, additional, Nardi, Fernando, additional, Neale, Christopher, additional, Nesterova, Nataliia, additional, Nurtaev, Bakhram, additional, Odongo, Vincent O., additional, Panda, Subhabrata, additional, Pande, Saket, additional, Pang, Zhonghe, additional, Papacharalampous, Georgia, additional, Perrin, Charles, additional, Pfister, Laurent, additional, Pimentel, Rafael, additional, Polo, María J., additional, Post, David, additional, Prieto Sierra, Cristina, additional, Ramos, Maria-Helena, additional, Renner, Maik, additional, Reynolds, José Eduardo, additional, Ridolfi, Elena, additional, Rigon, Riccardo, additional, Riva, Monica, additional, Robertson, David E., additional, Rosso, Renzo, additional, Roy, Tirthankar, additional, Sá, João H.M., additional, Salvadori, Gianfausto, additional, Sandells, Mel, additional, Schaefli, Bettina, additional, Schumann, Andreas, additional, Scolobig, Anna, additional, Seibert, Jan, additional, Servat, Eric, additional, Shafiei, Mojtaba, additional, Sharma, Ashish, additional, Sidibe, Moussa, additional, Sidle, Roy C., additional, Skaugen, Thomas, additional, Smith, Hugh, additional, Spiessl, Sabine M., additional, Stein, Lina, additional, Steinsland, Ingelin, additional, Strasser, Ulrich, additional, Su, Bob, additional, Szolgay, Jan, additional, Tarboton, David, additional, Tauro, Flavia, additional, Thirel, Guillaume, additional, Tian, Fuqiang, additional, Tong, Rui, additional, Tussupova, Kamshat, additional, Tyralis, Hristos, additional, Uijlenhoet, Remko, additional, van Beek, Rens, additional, van der Ent, Ruud J., additional, van der Ploeg, Martine, additional, Van Loon, Anne F., additional, van Meerveld, Ilja, additional, van Nooijen, Ronald, additional, van Oel, Pieter R., additional, Vidal, Jean-Philippe, additional, von Freyberg, Jana, additional, Vorogushyn, Sergiy, additional, Wachniew, Przemyslaw, additional, Wade, Andrew J., additional, Ward, Philip, additional, Westerberg, Ida K., additional, White, Christopher, additional, Wood, Eric F., additional, Woods, Ross, additional, Xu, Zongxue, additional, Yilmaz, Koray K., additional, and Zhang, Yongqiang, additional

Published
2019
Full Text
View/download PDF

45. Remote land use impacts on river flows through atmospheric teleconnections

Author

Wang-Erlandsson, Lan, Fetzer, Ingo, Keys, Patrick W., Van Der Ent, Ruud J., Savenije, Hubert H.G., Gordon, Line J., Wang-Erlandsson, Lan, Fetzer, Ingo, Keys, Patrick W., Van Der Ent, Ruud J., Savenije, Hubert H.G., and Gordon, Line J.

Abstract

The effects of land-use change on river flows have usually been explained by changes within a river basin. However, land-atmosphere feedback such as moisture recycling can link local land-use change to modifications of remote precipitation, with further knock-on effects on distant river flows. Here, we look at river flow changes caused by both land-use change and water use within the basin, as well as modifications of imported and exported atmospheric moisture. We show that in some of the world's largest basins, precipitation was influenced more strongly by land-use change occurring outside than inside the basin. Moreover, river flows in several non-transboundary basins were considerably regulated by land-use changes in foreign countries. We conclude that regional patterns of land-use change and moisture recycling are important to consider in explaining runoff change, integrating land and water management, and informing water governance.

Published
2018

46. PCR-GLOBWB 2: A 5 arcmin global hydrological and water resources model

Author

Sutanudjaja, Edwin H., Van Beek, Rens, Wanders, Niko, Wada, Yoshihide, Bosmans, Joyce H.C., Drost, Niels, Van Der Ent, Ruud J., De Graaf, Inge E.M., Hoch, Jannis M., De Jong, Kor, Karssenberg, Derek, López López, Patricia, Peßenteiner, Stefanie, Schmitz, Oliver, Straatsma, Menno W., Vannametee, Ekkamol, Wisser, Dominik, Bierkens, Marc F.P., Sutanudjaja, Edwin H., Van Beek, Rens, Wanders, Niko, Wada, Yoshihide, Bosmans, Joyce H.C., Drost, Niels, Van Der Ent, Ruud J., De Graaf, Inge E.M., Hoch, Jannis M., De Jong, Kor, Karssenberg, Derek, López López, Patricia, Peßenteiner, Stefanie, Schmitz, Oliver, Straatsma, Menno W., Vannametee, Ekkamol, Wisser, Dominik, and Bierkens, Marc F.P.

Abstract

We present PCR-GLOBWB 2, a global hydrology and water resources model. Compared to previous versions of PCR-GLOBWB, this version fully integrates water use. Sector-specific water demand, groundwater and surface water withdrawal, water consumption, and return flows are dynamically calculated at every time step and interact directly with the simulated hydrology. PCR-GLOBWB 2 has been fully rewritten in Python and PCRaster Python and has a modular structure, allowing easier replacement, maintenance, and development of model components. PCR-GLOBWB 2 has been implemented at 5 arcmin resolution, but a version parameterized at 30 arcmin resolution is also available. Both versions are available as open-source codes on https://github.com/UU-Hydro/PCR-GLOBWB-model (Sutanudjaja et al., 2017a). PCR-GLOBWB 2 has its own routines for groundwater dynamics and surface water routing. These relatively simple routines can alternatively be replaced by dynamically coupling PCR-GLOBWB 2 to a global two-layer groundwater model and 1-D-2-D hydrodynamic models. Here, we describe the main components of the model, compare results of the 30 and 5 arcmin versions, and evaluate their model performance using Global Runoff Data Centre discharge data. Results show that model performance of the 5 arcmin version is notably better than that of the 30 arcmin version. Furthermore, we compare simulated time series of total water storage (TWS) of the 5 arcmin model with those observed with GRACE, showing similar negative trends in areas of prevalent groundwater depletion. Also, we find that simulated total water withdrawal matches reasonably well with reported water withdrawal from AQUASTAT, while water withdrawal by source and sector provide mixed results.

Published
2018

47. Remote land use impacts on river flows through atmospheric teleconnections

Author

Hydrologie, Landscape functioning, Geocomputation and Hydrology, Wang-Erlandsson, Lan, Fetzer, Ingo, Keys, Patrick W., Van Der Ent, Ruud J., Savenije, Hubert H.G., Gordon, Line J., Hydrologie, Landscape functioning, Geocomputation and Hydrology, Wang-Erlandsson, Lan, Fetzer, Ingo, Keys, Patrick W., Van Der Ent, Ruud J., Savenije, Hubert H.G., and Gordon, Line J.

Published
2018

48. PCR-GLOBWB 2: A 5 arcmin global hydrological and water resources model

Author

Landscape functioning, Geocomputation and Hydrology, Sutanudjaja, Edwin H., Van Beek, Rens, Wanders, Niko, Wada, Yoshihide, Bosmans, Joyce H.C., Drost, Niels, Van Der Ent, Ruud J., De Graaf, Inge E.M., Hoch, Jannis M., De Jong, Kor, Karssenberg, Derek, López López, Patricia, Peßenteiner, Stefanie, Schmitz, Oliver, Straatsma, Menno W., Vannametee, Ekkamol, Wisser, Dominik, Bierkens, Marc F.P., Landscape functioning, Geocomputation and Hydrology, Sutanudjaja, Edwin H., Van Beek, Rens, Wanders, Niko, Wada, Yoshihide, Bosmans, Joyce H.C., Drost, Niels, Van Der Ent, Ruud J., De Graaf, Inge E.M., Hoch, Jannis M., De Jong, Kor, Karssenberg, Derek, López López, Patricia, Peßenteiner, Stefanie, Schmitz, Oliver, Straatsma, Menno W., Vannametee, Ekkamol, Wisser, Dominik, and Bierkens, Marc F.P.

Published
2018

49. The residence time of water in the atmosphere revisited

Author

Van Der Ent, Ruud J., Tuinenburg, Obbe A., Hydrologie, Environmental Sciences, and Landscape functioning, Geocomputation and Hydrology

Subjects
Earth and Planetary Sciences (miscellaneous), Water Science and Technology
Abstract

This paper revisits the knowledge on the residence time of water in the atmosphere. Based on state-of-the-art data of the hydrological cycle we derive a global average residence time of 8.9 ± 0.4 days (uncertainty given as 1 standard deviation). We use two different atmospheric moisture tracking models (WAM-2layers and 3D-T) to obtain atmospheric residence time characteristics in time and space. The tracking models estimate the global average residence time to be around 8.5 days based on ERA-Interim data. We conclude that the statement of a recent study that the global average residence time of water in the atmosphere is 4-5 days, is not correct. We derive spatial maps of residence time, attributed to evaporation and precipitation, and age of atmospheric water, showing that there are different ways of looking at temporal characteristics of atmospheric water. Longer evaporation residence times often indicate larger distances towards areas of high precipitation. From our analysis we find that the residence time over the ocean is about 2 days less than over land. It can be seen that in winter, the age of atmospheric moisture tends to be much lower than in summer. In the Northern Hemisphere, due to the contrast in ocean-to-land temperature and associated evaporation rates, the age of atmospheric moisture increases following atmospheric moisture flow inland in winter, and decreases in summer. Looking at the probability density functions of atmospheric residence time for precipitation and evaporation, we find long-tailed distributions with the median around 5 days. Overall, our research confirms the 8–10-day traditional estimate for the global mean residence time of atmospheric water, and our research contributes to a more complete view of the characteristics of the turnover of water in the atmosphere in time and space.

Published
2017

50. Effects of horizontal resolution and air-sea coupling on simulated moisture sources for regional East Asian precipitation.

Author

Liang Guo, van der Ent, Ruud J., Klingaman, Nicholas P., Demory, Marie-Estelle, Vidale, Pier Luigi, Turner, Andrew G., Stephan, Claudia C., and Chevuturi, Amulya

Subjects
*HUMIDITY, *METEOROLOGICAL precipitation, *MOISTURE, *ATMOSPHERIC circulation, *HYDROLOGIC cycle
Abstract

Precipitation over East Asia (EA) simulated in six experiments using the Met Office Unified Model (MetUM) is compared with observations and ERA-Interim reanalysis. These simulations are performed at resolutions of 200-40 km and with both atmosphere-only and air-sea coupled configurations. EA precipitation in MetUM is systematically overestimated, especially over southeastern EA and the Tibetan Plateau. Moisture sources for simulated and observed regional EA precipitation are traced using the Water Accounting Model-2layers (WAM-2layers) - a moisture tracking model that traces moisture sources using a combination of evaporation, atmospheric moisture and circulation. Biases in moisture sources are linked to biases in precipitation. For southeastern EA, positive precipitation biases are linked to errors in mid-latitude sources rather than tropical ocean sources. Increasing resolution reduces precipitation biases over the Tibetan Plateau. From the perspective of moisture source, this reduction comes from reduced remote moisture source that is blocked by the better representations of topography at higher resolution. Including coupling does not necessarily improve EA precipitation, however, coupling alters moisture sources. Because the effect of coupling on moisture source varies on location and sign, the collective impact on EA precipitation may not be noticeable. By using WAM-2layers, these changes in moisture sources can be attributed to changes in SST, circulation and associated evaporation. WAM-2layers can be a useful tool to identify model biases that cause biases in regional precipitation. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results