522 results on '"Dolman, A.J."'
Search Results
2. The land-component in the climate system
- Author
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van den Hurk, B.J.J.M., primary, Dolman, A.J., additional, Holtslag, A.A.M., additional, Hutjes, R., additional, van de Kassteele, J., additional, Ronda, R., additional, and IJpelaar, R.J.M., additional
- Published
- 2021
- Full Text
- View/download PDF
3. Seasonality of net carbon exchanges of Mediterranean ecosystems across an altitudinal gradient
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Serrano-Ortiz, P., Were, A., Reverter, B.R., Villagarcía, L., Domingo, F., Dolman, A.J., and Kowalski, A.S.
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- 2015
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4. Using satellite based soil moisture to quantify the water driven variability in NDVI: A case study over mainland Australia
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Chen, T., de Jeu, R.A.M., Liu, Y.Y., van der Werf, G.R., and Dolman, A.J.
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- 2014
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5. Drought and ecosystem carbon cycling
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van der Molen, M.K., Dolman, A.J., Ciais, P., Eglin, T., Gobron, N., Law, B.E., Meir, P., Peters, W., Phillips, O.L., Reichstein, M., Chen, T., Dekker, S.C., Doubková, M., Friedl, M.A., Jung, M., van den Hurk, B.J.J.M., de Jeu, R.A.M., Kruijt, B., Ohta, T., Rebel, K.T., Plummer, S., Seneviratne, S.I., Sitch, S., Teuling, A.J., van der Werf, G.R., and Wang, G.
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- 2011
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6. Assessing parameter variability in a photosynthesis model within and between plant functional types using global Fluxnet eddy covariance data
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Groenendijk, M., Dolman, A.J., van der Molen, M.K., Leuning, R., Arneth, A., Delpierre, N., Gash, J.H.C., Lindroth, A., Richardson, A.D., Verbeeck, H., and Wohlfahrt, G.
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- 2011
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7. Multi-technique assessment of spatial and temporal variability of methane fluxes in a peat meadow
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Hendriks, D.M.D., van Huissteden, J., and Dolman, A.J.
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- 2010
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8. The spatial variability of CO 2 storage and the interpretation of eddy covariance fluxes in central Amazonia
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de Araújo, A.C., Dolman, A.J., Waterloo, M.J., Gash, J.H.C., Kruijt, B., Zanchi, F.B., de Lange, J.M.E., Stoevelaar, R., Manzi, A.O., Nobre, A.D., Lootens, R.N., and Backer, J.
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- 2010
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9. Modelling canopy conductance under wet and dry conditions in a subtropical cloud forest
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García-Santos, G., Bruijnzeel, L.A., and Dolman, A.J.
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- 2009
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10. The consolidated European synthesis of CH4 and N2O emissions for the European Union and United Kingdom: 1990–2017
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Petrescu, A.M.R., Qiu, C., Ciais, P., Thompson, R.L., Peylin, P., McGrath, M.J., Solazzo, E., Janssens-Maenhout, G., Tubiello, F.N., Bergamaschi, P., Brunner, D., Peters, G.P., Höglund-Isaksson, L., Regnier, P., Lauerwald, R., Bastviken, D., Tsuruta, A., Winiwarter, W., Patra, P.K., Kuhnert, M., Oreggioni, G.D., Crippa, M., Saunois, M., Perugini, L., Markkanen, T., Aalto, T., Groot Zwaaftink, C.D., Yao, Y., Wilson, C., Conchedda, G., Günther, D., Leip, A., Smith, P., Haussaire, J.-M., Leppänen, A., Manning, A.J., McNorton, J., Brockmann, P., Dolman, A.J., Petrescu, A.M.R., Qiu, C., Ciais, P., Thompson, R.L., Peylin, P., McGrath, M.J., Solazzo, E., Janssens-Maenhout, G., Tubiello, F.N., Bergamaschi, P., Brunner, D., Peters, G.P., Höglund-Isaksson, L., Regnier, P., Lauerwald, R., Bastviken, D., Tsuruta, A., Winiwarter, W., Patra, P.K., Kuhnert, M., Oreggioni, G.D., Crippa, M., Saunois, M., Perugini, L., Markkanen, T., Aalto, T., Groot Zwaaftink, C.D., Yao, Y., Wilson, C., Conchedda, G., Günther, D., Leip, A., Smith, P., Haussaire, J.-M., Leppänen, A., Manning, A.J., McNorton, J., Brockmann, P., and Dolman, A.J.
- Abstract
Reliable quantification of the sources and sinks of greenhouse gases, together with trends and uncertainties, is essential to monitoring the progress in mitigating anthropogenic emissions under the Paris Agreement. This study provides a consolidated synthesis of CH4 and N2O emissions with consistently derived state-of-the-art bottom-up (BU) and top-down (TD) data sources for the European Union and UK (EU27 + UK). We integrate recent emission inventory data, ecosystem process-based model results and inverse modeling estimates over the period 1990-2017. BU and TD products are compared with European national greenhouse gas inventories (NGHGIs) reported to the UN climate convention UNFCCC secretariat in 2019. For uncertainties, we used for NGHGIs the standard deviation obtained by varying parameters of inventory calculations, reported by the member states (MSs) following the recommendations of the IPCC Guidelines. For atmospheric inversion models (TD) or other inventory datasets (BU), we defined uncertainties from the spread between different model estimates or model-specific uncertainties when reported. In comparing NGHGIs with other approaches, a key source of bias is the activities included, e.g., anthropogenic versus anthropogenic plus natural fluxes. In inversions, the separation between anthropogenic and natural emissions is sensitive to the geospatial prior distribution of emissions. Over the 2011-2015 period, which is the common denominator of data availability between all sources, the anthropogenic BU approaches are directly comparable, reporting mean emissions of 20.8 Tg CH4 yr-1 (EDGAR v5.0) and 19.0 Tg CH4 yr-1 (GAINS), consistent with the NGHGI estimates of 18.9 ± 1.7 Tg CH4 yr-1. The estimates of TD total inversions give higher emission estimates, as they also include natural emissions. Over the same period regional TD inversions with higher-resolution atmospheric transport models give a mean emission of 28.8 Tg CH4 yr-1. Coarser-resolution global TD inver
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- 2021
11. Geomorphology and InSAR-Tracked Surface Displacements in an Ice-Rich Yedoma Landscape
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van Huissteden, J., Teshebaeva, K., Cheung, Y., Magnússon, R., Noorbergen, H., Karsanaev, S.V., Maximov, T.C., Dolman, A.J., van Huissteden, J., Teshebaeva, K., Cheung, Y., Magnússon, R., Noorbergen, H., Karsanaev, S.V., Maximov, T.C., and Dolman, A.J.
- Abstract
Ice-ridge Yedoma terrain is susceptible to vertical surface displacements by thaw and refreeze of ground ice, and geomorphological processes of mass wasting, erosion and sedimentation. Here we explore the relation between a 3 year data set of InSAR measurements of vertical surface displacements during the thaw season, and geomorphological features in an area in the Indigirka Lowlands, Northeast Siberia. The geomorphology is presented in a geomorphological map, based on interpretation of high resolution visible spectrum satellite imagery, field surveys and available data from paleo-environmental research. The main landforms comprise overlapping drained thaw lake basins and lakes, erosion remnants of Late Pleistocene Yedoma deposits, and a floodplain of a high-sinuosity anastomosing river with ancient river terrace remnants. The spatial distribution of drained thaw lake basins and Yedoma erosion remnants in the study area and its surroundings is influenced by neotectonic movements. The 3 years of InSAR measurement include 2 years of high snowfall and extreme river flooding (2017–2018) and 1 year of modest snowfall, early spring and warm summer (2019). The magnitude of surface displacements varies among the years, and show considerable spatial variation. Distinct spatial clusters of displacement trajectories can be discerned, which relate to geomorphological processes and ground ice conditions. Strong subsidence occurred in particular in 2019. In the wet year of 2017, marked heave occurred at Yedoma plateau surfaces, likely by ice accumulation at the top of the permafrost driven by excess precipitation. The spatial variability of surface displacements is high. This is explored by statistical analysis, and is attributed to the interaction of various processes. Next to ground ice volume change, also sedimentation (peat, colluvial deposition) and shrinkage or swelling of soils with changing water content may have contributed. Tussock tundra areas covered by the extreme 20
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- 2021
12. Empirical estimates of regional carbon budgets imply reduced global soil heterotrophic respiration
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Ciais, P., Yao, Y., Gasser, T., Baccini, A., Wang, Y., Lauerwald, R., Peng, S., Bastos, A., Li, W., Raymond, P.A., Canadell, J., Peters, G., Andres, R., Chang, J., Yue, C., Dolman, A.J., Haverd, V., Hartmann, J., Laruelle, G., Konings, A.G., King, A.W., Liu, Y., Luyssaert, S., Maignan, F., Patra, P.K., Peregon, A., Regnier, P., Pongratz, J., Poulter, B., Shvidenko, A., Valentini, R., Wang, R., Broquet, G., Yin, Y., Zscheischler, J., Guenet, B., Goll, D.S., Ballantyne, A., Yang, H., Qiu, C., Zhu, D., Ciais, P., Yao, Y., Gasser, T., Baccini, A., Wang, Y., Lauerwald, R., Peng, S., Bastos, A., Li, W., Raymond, P.A., Canadell, J., Peters, G., Andres, R., Chang, J., Yue, C., Dolman, A.J., Haverd, V., Hartmann, J., Laruelle, G., Konings, A.G., King, A.W., Liu, Y., Luyssaert, S., Maignan, F., Patra, P.K., Peregon, A., Regnier, P., Pongratz, J., Poulter, B., Shvidenko, A., Valentini, R., Wang, R., Broquet, G., Yin, Y., Zscheischler, J., Guenet, B., Goll, D.S., Ballantyne, A., Yang, H., Qiu, C., and Zhu, D.
- Abstract
Resolving regional carbon budgets is critical for informing land-based mitigation policy. For nine regions covering nearly the whole globe, we collected inventory estimates of carbon-stock changes complemented by satellite estimates of biomass changes where inventory data are missing. The net land–atmospheric carbon exchange (NEE) was calculated by taking the sum of the carbon-stock change and lateral carbon fluxes from crop and wood trade, and riverine-carbon export to the ocean. Summing up NEE from all regions, we obtained a global ‘bottom-up’ NEE for net land anthropogenic CO2 uptake of –2.2 ± 0.6 PgC yr−1 consistent with the independent top-down NEE from the global atmospheric carbon budget during 2000–09. This estimate is so far the most comprehensive global bottom-up carbon budget accounting, which set up an important milestone for global carbon-cycle studies. By decomposing NEE into component fluxes, we found that global soil heterotrophic respiration amounts to a source of CO2 of 39 PgC yr−1 with an interquartile of 33–46 PgC yr−1—a much smaller portion of net primary productivity than previously reported.
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- 2021
13. Water and energy exchange in East Siberian forest: A synthesis
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Maximov, T., Ohta, T., and Dolman, A.J.
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- 2008
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14. Summer soil CH 4 emission and uptake in taiga forest near Yakutsk, Eastern Siberia
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van Huissteden, J., Maximov, T.C., Kononov, A.V., and Dolman, A.J.
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- 2008
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15. Aggregating spatial heterogeneity in a bush vegetation patch in semi-arid SE Spain: A multi-layer model versus a single-layer model
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Were, A., Villagarcía, L., Domingo, F., Moro, M.J., and Dolman, A.J.
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- 2008
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16. Climate regulation of fire emissions and deforestation in equatorial Asia
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van der Werf, G.R., Dempewolf, J., Trigg, S.N., Randerson, J.T., Kasibhatla, P.S., Giglio, L., Murdiyarso, D., Peters, W., Morton, D.C., Collatz, G.J., Dolman, A.J., and DeFries, R.S.
- Subjects
Indonesia -- Environmental aspects ,Climatic changes -- Causes of ,Deforestation -- Indonesia ,Deforestation -- Influence ,Deforestation -- Reports ,Emissions (Pollution) -- Influence ,Emissions (Pollution) -- Reports ,Science and technology - Abstract
Drainage of peatlands and deforestation have led to large-scale fires in equatorial Asia, affecting regional air quality and global concentrations of greenhouse gases. Here we used several sources of satellite data with biogeochemical and atmospheric modeling to better understand and constrain fire emissions from Indonesia, Malaysia, and Papua New Guinea during 2000-2006. We found that average fire emissions from this region [128 [+ or -] 51 (1[sigma]) Tg carbon (C) [year.sup.-1], T = [10.sup.12]] were comparable to fossil fuel emissions. In Borneo, carbon emissions from fires were highly variable, fluxes during the moderate 2006 El Nino more than 30 times greater than those during the 2000 La Nina (and with a 2000-2006 mean of 74 [+ or -] 33 Tg C [yr.sup.-1]). Higher rates of forest loss and larger areas of peatland becoming vulnerable to fire in drought years caused a strong nonlinear relation between drought and fire emissions in southern Borneo. Fire emissions from Sumatra showed a positive linear trend, increasing at a rate of 8 Tg C [year.sup.-2] (approximately doubling during 2000-2006). These results highlight the importance of including deforestation in future climate agreements. They also imply that land manager responses to expected shifts in tropical precipitation may critically determine the strength of climate-carbon cycle feedbacks during the 21st century. climate change | feedbacks | biomass burning | Indonesia | global carbon cycle
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- 2008
17. European anthropogenic AFOLU greenhouse gas emissions: a review and benchmark data
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Petrescu, A.M.R., Peters, G.P., Janssens-Maenhout, G., Ciais, P., Tubiello, F.N., Grassi, G., Nabuurs, G.J., Leip, A., Carmona-Garcia, G., Winiwarter, W., Höglund-Isaksson, L., Günther, D., Solazzo, E., Kiesow, A., Bastos, A., Pongratz, J., Nabel, J.E.M.S., Conchedda, G., Pilli, R., Andrew, R.M., Schelhaas, M., Dolman, A.J., Petrescu, A.M.R., Peters, G.P., Janssens-Maenhout, G., Ciais, P., Tubiello, F.N., Grassi, G., Nabuurs, G.J., Leip, A., Carmona-Garcia, G., Winiwarter, W., Höglund-Isaksson, L., Günther, D., Solazzo, E., Kiesow, A., Bastos, A., Pongratz, J., Nabel, J.E.M.S., Conchedda, G., Pilli, R., Andrew, R.M., Schelhaas, M., and Dolman, A.J.
- Abstract
Emission of greenhouse gases (GHGs) and removals from land, including both anthropogenic and natural fluxes, require reliable quantification, including estimates of uncertainties, to support credible mitigation action under the Paris Agreement. This study provides a state-of-the-art scientific overview of bottom-up anthropogenic emissions data from agriculture, forestry and other land use (AFOLU) in the European Union (EU281). The data integrate recent AFOLU emission inventories with ecosystem data and land carbon models and summarize GHG emissions and removals over the period 1990–2016. This compilation of bottom-up estimates of the AFOLU GHG emissions of European national greenhouse gas inventories (NGHGIs), with those of land carbon models and observation-based estimates of large-scale GHG fluxes, aims at improving the overall estimates of the GHG balance in Europe with respect to land GHG emissions and removals. Whenever available, we present uncertainties, its propagation and role in the comparison of different estimates. While NGHGI data for the EU28 provide consistent quantification of uncertainty following the established IPCC Guidelines, uncertainty in the estimates produced with other methods needs to account for both within model uncertainty and the spread from different model results. The largest inconsistencies between EU28 estimates are mainly due to different sources of data related to human activity, referred to here as activity data (AD) and methodologies (tiers) used for calculating emissions and removals from AFOLU sectors.
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- 2020
18. The CarboEurope regional experiment strategy
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Dolman, A.J., Noilhan, J., Durand, P., Sarrat, C., Brut, A., Piguet, B., Butet, A., Jarosz, N., Brunet, Y., Loustau, D., Lamaud, E., Tolk, L., Ronda, R., Miglietta, F., Gioli, B., Magliulo, V., Esposito, M., Gerbig, C., Korner, S., Glademard, P., Ramonet, M., Ciais, P., Neininger, B., Hutjes, R.W.A., Elbers, J.A., Macatangay, R., Schrems, O., Perez-Landa, G., Sanz, M.J., Scholz, Y., Facon, G., Ceschia, E., and Beziat, P.
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Carbon -- Environmental aspects ,Carbon -- Research ,Business ,Earth sciences - Abstract
Quantification of sources and sinks of carbon at global and regional scales requires not only a good description of the land sources and sinks of carbon, but also of the synoptic and mesoscale meteorology. An experiment was performed in Les Landes, southwest France, during May-June 2005, to determine the variability in concentration gradients and fluxes of C[O.sub.2]. The CarboEurope Regional Experiment Strategy (CERES; see also http://carboregional.mediasfrance.org/index) aimed to produce aggregated estimates of the carbon balance of a region that can be meaningfully compared to those obtained from the smallest downscaled information of atmospheric measurements and continental-scale inversions. We deployed several aircraft to sample the C[O.sub.2] concentration and fluxes over the whole area, while fixed stations observed the fluxes and concentrations at high accuracy. Several (mesoscale) meteorological modeling tools were used to plan the experiment and flight patterns. Results show that at regional scale the relation between profiles and fluxes is not obvious, and is strongly influenced by airmass history and mesoscale flow patterns. In particular, we show from an analysis of data for a single day that taking either the concentration at several locations as representative of local fluxes or taking the flux measurements at those sites as representative of larger regions would lead to incorrect conclusions about the distribution of sources and sinks of carbon. Joint consideration of the synoptic and regional flow, fluxes, and land surface is required for a correct interpretation. This calls for an experimental and modeling strategy that takes into account the large spatial gradients in concentrations and the variability in sources and sinks that arise from different land use types. We briefly describe how such an analysis can be performed and evaluate the usefulness of the data for planning of future networks or longer campaigns with reduced experimental efforts.
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- 2006
19. Evaporation in the Global Hydrological Cycle
- Author
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Dolman, A.J., primary and Gash, J.H., additional
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- 2011
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20. Climate is affected more by maritime than by continental land use change: A multiple scale analysis
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van der Molen, M.K., Dolman, A.J., Waterloo, M.J., and Bruijnzeel, L.A.
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- 2006
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21. EClog: A handheld eddy covariance logging system
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van der Molen, Michiel K., Zeeman, Matthias J., Lebis, Joska, and Dolman, A.J.
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- 2006
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22. The Greening and Wetting of the Sahel Have Leveled off since about 1999 in Relation to SST
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Chen, Tiexi, primary, Zhou, Shengjie, additional, Liang, Chuanzhuang, additional, Hagan, Daniel Fiifi Tawia, additional, Zeng, Ning, additional, Wang, Jun, additional, Shi, Tingting, additional, Chen, Xin, additional, and Dolman, A.J., additional
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- 2020
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23. Quantifying burning efficiency in Megacities using NO2/CO ratio from the Tropospheric Monitoring Instrument (TROPOMI)
- Author
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Lama, Srijana, primary, Houweling, Sander, additional, Boersma, Folkert, additional, Aben, Ilse, additional, Denier van der Gon, Hugo, additional, Krol, Maarten, additional, Dolman, A.J.(Han), additional, Borsdorff, Tobias, additional, and Lorente, Alba, additional
- Published
- 2020
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24. The potential for rising CO2 to account for the observed uptake of carbon by tropical, temperate, and Boreal forest biomes
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Ciais, Philippe, primary, Janssens, Ivan, additional, Shvidenko, Anatoly, additional, Wirth, Christian, additional, Malhi, Yadvinder, additional, Grace, John, additional, Schulze, E.-Detlef, additional, Heimann, Martin, additional, Phillips, Oliver, additional, and Dolman, A.J. (Han), additional
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- 2004
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25. Regional measurement and modelling of carbon balances
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Dolman, A.J. (Han), primary, Ronda, Reinder, additional, Miglietta, Franco, additional, and Ciais, Philippe, additional
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- 2004
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26. State of the climate in 2018
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Ades, M., Adler, R., Aldeco, L.S., Alejandra, G., Alfaro, E.J., Aliaga-Nestares, V., Allan, R.P., Allan, R., Alves, L.M., Amador, J.A., Andersen, J.K., Anderson, J., Arndt, D.S., Arosio, C., Arrigo, K., Azorin-Molina, C., Bardin, M.Y., Barichivich, J., Barreira, S., Baxter, S., Beck, H.E., Becker, A., Bell, G.D., Bellouin, N., Belmont, M., Benedetti, A., Benedict, I., Bernhard, G.H., Berrisford, P., Berry, D.I., Bettio, L., Bhatt, U.S., Biskaborn, B.K., Bissolli, P., Bjella, K.L., Bjerke, J.K., Blake, E.S., Blenkinsop, S., Blunden, J., Bock, O., Bosilovich, M.G., Boucher, O., Box, J.E., Boyer, T., Braathen, G., Bringas, F.G., Bromwich, D.H., Brown, A., Brown, R., Brown, T.J., Buehler, S.A., Cáceres, L., Calderón, B., Camargo, S.J., Campbell, J.D., Campos Diaz, D.A., Cappelen, J., Carrea, L., Carrier, S.B., Carter, B.R., Castro, A.Y., Cetinic, I., Chambers, D.P., Chen, L., Cheng, L., Cheng, V.Y.S., Christiansen, H.H., Christy, J.R., Chung, E.-S., Claus, F., Clem, K.R., Coelho, C.A.S., Coldewey-Egbers, M., Colwell, S., Cooper, O.R., Cosca, C., Covey, C., Coy, L., Dávila, C.P., Davis, S.M., de Eyto, E., de Jeu, R.A.M., De Laat, J., Decharme, B., Degasperi, C.L., Degenstein, D., Demircan, M., Derksen, C., Dhurmea, K.R., Di Girolamo, L., Diamond, H.J., Diaz, E., Diniz, F.A., Dlugokencky, E.J., Dohan, K., Dokulil, M.T., Dolman, A.J., Domingues, C.M., Domingues, R., Donat, M.G., Dorigo, W.A., Drozdov, D.S., Druckenmiller, M.L., Dunn, R.J.H., Durre, I., Dutton, G.S., Elkharrim, M., Elkins, J.W., Epstein, H.E., Espinoza, J.C., Famiglietti, J.S., Farrell, S.L., Fausto, R.S., Feely, R.A., Feng, Z., Fenimore, C., Fettweis, X., Fioletov, V.E., Flemming, J., Fogt, R.L., Forbes, B.C., Foster, M.J., Francis, S.D., Franz, B.A., Frey, R.A., Frith, S.M., Froidevaux, L., Ganter, C., Garforth, J., Gerland, S., Gilson, J., Gleason, K., Gobron, N., Goetz, S., Goldenberg, S.B., Goni, G., Gray, A., Groo, J.-U., Gruber, A., Gu, G., Guard, C.C.P., Gupta, S.K., Gutiérrez, D., Haas, Christian, Hagos, S., Hahn, S., Haimberger, L., Hall, B.D., Halpert, M.S., Hamlington, B.D., Hanna, E., Hanssen-Bauer, I., Harris, I., Hazeleger, W., He, Q., Heidinger, A.K., Heim, Jr., Hemming, D.L., Hendricks, Stefan, Hernández, R., Hersbach, H.E., Hidalgo, H.G., Ho, S.-P.B., Holmes, R.M., Hu, C., Huang, B., Hubbard, K., Hubert, D., Hurst, D.F., Ialongo, I., Ijampy, J.A., Inness, A., Isaac, V., Isaksen, K., Ishii, M., Jeffries, M.O., Jevrejeva, S., Jia, G., Jiménez, C., Jin, X., John, V., Johnsen, B., Johnson, G.C., Johnson, K.S., Johnson, B., Jones, P.D., Jumaux, G., Kabidi, K., Kaiser, J.W., Karaköylü, E.M., Karlsen, S.-R., Karnauskas, M., Kato, S., Kazemi, A.F., Kelble, C., Keller, L.M., Kennedy, J., Kholodov, A.L., Khoshkam, M., Kidd, R., Killick, R., Kim, H., Kim, S.-J., King, A.D., King, B.A., Kipling, Z., Klotzbach, P.J., Knaff, J.A., Korhonen, J., Korshunova, N.N., Kramarova, N.A., Kratz, D.P., Kruger, A., Kruk, M.C., Krumpen, Thomas, Labbé, L., Ladd, C., Lakatos, M., Lakkala, K., Lander, M.A., Landschützer, P., Landsea, C.W., Lareau, N.P., Lavado-Casimiro, W., Lazzara, M.A., Lee, T.C., Leuliette, E., Lâ��heureux, M., Li, B., Li, T., Lieser, J.L., Lim, J.-Y., Lin, I.-I., Liu, H., Locarnini, R., Loeb, N.G., Long, C.S., López, L.A., Lorrey, A.M., Loyola, D., Lumpkin, R., Luo, J.-J., Luojus, K., Lyman, J.M., Malkova, G.V., Manney, G.L., Marchenko, S.S., Marengo, J.A., Marin, D., Marquardt Collow, A.B., Marra, J.J., Marszelewski, W., Martens, B., MartÃnez-Güingla, R., Massom, R.A., May, L., Mayer, M., Mazloff, M., McBride, C., McCabe, M., McClelland, J.W., McEvoy, D.J., McGree, S., McVicar, T.R., Mears, C.A., Meier, W., Meijers, A., Mekonnen, A., Mengistu Tsidu, G., Menzel, W.P., Merchant, C.J., Meredith, M.P., Merrifield, M.A., Miller, B., Miralles, D.G., Misevicius, N., Mitchum, G.T., Mochizuki, Y., Monselesan, D., Montzka, S.A., Mora, N., Morice, C., Mosquera-Vásquez, K., Mostafa, A.E., Mote, T., Mudryk, L., Mühle, J., Mullan, A.B., Müller, R., Myneni, R., Nash, E.R., Nauslar, N.J., Nerem, R.S., Newman, P.A., Nicolas, J.P., Nieto, J.J., Noetzli, J., Osborn, T.J., Osborne, E., Overland, J., Oyunjargal, L., Park, T., Pasch, R.J., Pascual RamÃrez, R., Pastor Saavedra, M.A., Paterson, A.M., Pearce, P.R., Pelto, M.S., Perovich, D., Petropavlovskikh, I., Pezza, A.B., Phillips, C., Phillips, D., Phoenix, G., Pinty, B., Pitts, M., Po-Chedley, S., Polashenski, C., Preimesberger, W., Purkey, S.G., Quispe, N., Rajeevan, M., Rakotoarimalala, C.L., Ramos, A.M., Ramos, I., Randel, W., Raynolds, M.K., Reagan, J., Reid, P., Reimer, C., Rémy, S., Revadekar, J.V., Richardson, A.D., Richter-Menge, J., Ricker, Robert, Ripaldi, A., Robinson, D.A., Rodell, M., Rodriguez Camino, E., Romanovsky, V.E., Ronchail, J., Rosenlof, K.H., Rösner, B., Roth, C., Rozanov, A., Rusak, J.A., Rustemeier, E., Rutishäuser, T., Sallée, J.-B., Sánchez-Lugo, A., Santee, M.L., Sawaengphokhai, P., Sayouri, A., Scambos, T.A., Scanlon, T., Scardilli, A.S., Schenzinger, V., Schladow, S.G., Schmid, C., Schmid, M., Schoeneich, P., Schreck, III, Selkirk, H.B., Sensoy, S., Shi, L., Shiklomanov, A.I., Shiklomanov, N.I., Shimpo, A., Shuman, C.A., Siegel, D.A., Sima, F., Simmons, A.J., Smeets, C.J.P.P., Smith, A., Smith, S.L., Soden, B., Sofieva, V., Sparks, T.H., Spence, J., Spencer, R.G.M., Spillane, S., Srivastava, A.K., Stabeno, P.J., Stackhouse, Jr., Stammerjohn, S., Stanitski, D.M., Steinbrecht, W., Stella, J.L., Stengel, M., Stephenson, T.S., Strahan, S.E., Streeter, C., Streletskiy, D.A., Sun-Mack, S., Suslova, A., Sutton, A.J., Swart, S., Sweet, W., Takahashi, K.S., Tank, S.E., Taylor, M.A., Tedesco, M., Thackeray, S.J., Thompson, P.R., Timbal, B., Timmermans, M.-L., Tobin, S., Tømmervik, H., Tourpali, K., Trachte, K., Tretiakov, M., Trewin, B.C., Triñanes, J.A., Trotman, A.R., Tschudi, M., Tye, M.R., van As, D., van de Wal, R.S.W., van der A, R.J., van der Schalie, R., van der Schrier, G., van der Werf, G.R., van Heerwaarden, C., Van Meerbeeck, C.J., Verburg, P., Vieira, G., Vincent, L.A., Vömel, H., Vose, R.S., Walker, D.A., Walsh, J.E., Wang, B., Wang, H., Wang, L., Wang, M., Wang, R., Wang, S.-H., Wanninkhof, R., Watanabe, S., Weber, M., Webster, M., Weerts, A., Weller, R.A., Westberry, T.K., Weyhenmeyer, G.A., Widlansky, M.J., Wijffels, S.E., Wilber, A.C., Wild, J.D., Willett, K.M., Wong, T., Wood, E.F., Woolway, R.I., Xue, Y., Yin, X., Yu, L., Zambrano, E., Zeyaeyan, S., Zhang, H.-M., Zhang, P., Zhao, G., Zhao, L., Zhou, X., Zhu, Z., Ziemke, J.R., Ziese, M., Andersen, A., Griffin, J., Hammer, G., Love-Brotak, S.E., Misch, D.J., Riddle, D.B., Veasey, S.W., Ades, M., Adler, R., Aldeco, L.S., Alejandra, G., Alfaro, E.J., Aliaga-Nestares, V., Allan, R.P., Allan, R., Alves, L.M., Amador, J.A., Andersen, J.K., Anderson, J., Arndt, D.S., Arosio, C., Arrigo, K., Azorin-Molina, C., Bardin, M.Y., Barichivich, J., Barreira, S., Baxter, S., Beck, H.E., Becker, A., Bell, G.D., Bellouin, N., Belmont, M., Benedetti, A., Benedict, I., Bernhard, G.H., Berrisford, P., Berry, D.I., Bettio, L., Bhatt, U.S., Biskaborn, B.K., Bissolli, P., Bjella, K.L., Bjerke, J.K., Blake, E.S., Blenkinsop, S., Blunden, J., Bock, O., Bosilovich, M.G., Boucher, O., Box, J.E., Boyer, T., Braathen, G., Bringas, F.G., Bromwich, D.H., Brown, A., Brown, R., Brown, T.J., Buehler, S.A., Cáceres, L., Calderón, B., Camargo, S.J., Campbell, J.D., Campos Diaz, D.A., Cappelen, J., Carrea, L., Carrier, S.B., Carter, B.R., Castro, A.Y., Cetinic, I., Chambers, D.P., Chen, L., Cheng, L., Cheng, V.Y.S., Christiansen, H.H., Christy, J.R., Chung, E.-S., Claus, F., Clem, K.R., Coelho, C.A.S., Coldewey-Egbers, M., Colwell, S., Cooper, O.R., Cosca, C., Covey, C., Coy, L., Dávila, C.P., Davis, S.M., de Eyto, E., de Jeu, R.A.M., De Laat, J., Decharme, B., Degasperi, C.L., Degenstein, D., Demircan, M., Derksen, C., Dhurmea, K.R., Di Girolamo, L., Diamond, H.J., Diaz, E., Diniz, F.A., Dlugokencky, E.J., Dohan, K., Dokulil, M.T., Dolman, A.J., Domingues, C.M., Domingues, R., Donat, M.G., Dorigo, W.A., Drozdov, D.S., Druckenmiller, M.L., Dunn, R.J.H., Durre, I., Dutton, G.S., Elkharrim, M., Elkins, J.W., Epstein, H.E., Espinoza, J.C., Famiglietti, J.S., Farrell, S.L., Fausto, R.S., Feely, R.A., Feng, Z., Fenimore, C., Fettweis, X., Fioletov, V.E., Flemming, J., Fogt, R.L., Forbes, B.C., Foster, M.J., Francis, S.D., Franz, B.A., Frey, R.A., Frith, S.M., Froidevaux, L., Ganter, C., Garforth, J., Gerland, S., Gilson, J., Gleason, K., Gobron, N., Goetz, S., Goldenberg, S.B., Goni, G., Gray, A., Groo, J.-U., Gruber, A., Gu, G., Guard, C.C.P., Gupta, S.K., Gutiérrez, D., Haas, Christian, Hagos, S., Hahn, S., Haimberger, L., Hall, B.D., Halpert, M.S., Hamlington, B.D., Hanna, E., Hanssen-Bauer, I., Harris, I., Hazeleger, W., He, Q., Heidinger, A.K., Heim, Jr., Hemming, D.L., Hendricks, Stefan, Hernández, R., Hersbach, H.E., Hidalgo, H.G., Ho, S.-P.B., Holmes, R.M., Hu, C., Huang, B., Hubbard, K., Hubert, D., Hurst, D.F., Ialongo, I., Ijampy, J.A., Inness, A., Isaac, V., Isaksen, K., Ishii, M., Jeffries, M.O., Jevrejeva, S., Jia, G., Jiménez, C., Jin, X., John, V., Johnsen, B., Johnson, G.C., Johnson, K.S., Johnson, B., Jones, P.D., Jumaux, G., Kabidi, K., Kaiser, J.W., Karaköylü, E.M., Karlsen, S.-R., Karnauskas, M., Kato, S., Kazemi, A.F., Kelble, C., Keller, L.M., Kennedy, J., Kholodov, A.L., Khoshkam, M., Kidd, R., Killick, R., Kim, H., Kim, S.-J., King, A.D., King, B.A., Kipling, Z., Klotzbach, P.J., Knaff, J.A., Korhonen, J., Korshunova, N.N., Kramarova, N.A., Kratz, D.P., Kruger, A., Kruk, M.C., Krumpen, Thomas, Labbé, L., Ladd, C., Lakatos, M., Lakkala, K., Lander, M.A., Landschützer, P., Landsea, C.W., Lareau, N.P., Lavado-Casimiro, W., Lazzara, M.A., Lee, T.C., Leuliette, E., Lâ��heureux, M., Li, B., Li, T., Lieser, J.L., Lim, J.-Y., Lin, I.-I., Liu, H., Locarnini, R., Loeb, N.G., Long, C.S., López, L.A., Lorrey, A.M., Loyola, D., Lumpkin, R., Luo, J.-J., Luojus, K., Lyman, J.M., Malkova, G.V., Manney, G.L., Marchenko, S.S., Marengo, J.A., Marin, D., Marquardt Collow, A.B., Marra, J.J., Marszelewski, W., Martens, B., MartÃnez-Güingla, R., Massom, R.A., May, L., Mayer, M., Mazloff, M., McBride, C., McCabe, M., McClelland, J.W., McEvoy, D.J., McGree, S., McVicar, T.R., Mears, C.A., Meier, W., Meijers, A., Mekonnen, A., Mengistu Tsidu, G., Menzel, W.P., Merchant, C.J., Meredith, M.P., Merrifield, M.A., Miller, B., Miralles, D.G., Misevicius, N., Mitchum, G.T., Mochizuki, Y., Monselesan, D., Montzka, S.A., Mora, N., Morice, C., Mosquera-Vásquez, K., Mostafa, A.E., Mote, T., Mudryk, L., Mühle, J., Mullan, A.B., Müller, R., Myneni, R., Nash, E.R., Nauslar, N.J., Nerem, R.S., Newman, P.A., Nicolas, J.P., Nieto, J.J., Noetzli, J., Osborn, T.J., Osborne, E., Overland, J., Oyunjargal, L., Park, T., Pasch, R.J., Pascual RamÃrez, R., Pastor Saavedra, M.A., Paterson, A.M., Pearce, P.R., Pelto, M.S., Perovich, D., Petropavlovskikh, I., Pezza, A.B., Phillips, C., Phillips, D., Phoenix, G., Pinty, B., Pitts, M., Po-Chedley, S., Polashenski, C., Preimesberger, W., Purkey, S.G., Quispe, N., Rajeevan, M., Rakotoarimalala, C.L., Ramos, A.M., Ramos, I., Randel, W., Raynolds, M.K., Reagan, J., Reid, P., Reimer, C., Rémy, S., Revadekar, J.V., Richardson, A.D., Richter-Menge, J., Ricker, Robert, Ripaldi, A., Robinson, D.A., Rodell, M., Rodriguez Camino, E., Romanovsky, V.E., Ronchail, J., Rosenlof, K.H., Rösner, B., Roth, C., Rozanov, A., Rusak, J.A., Rustemeier, E., Rutishäuser, T., Sallée, J.-B., Sánchez-Lugo, A., Santee, M.L., Sawaengphokhai, P., Sayouri, A., Scambos, T.A., Scanlon, T., Scardilli, A.S., Schenzinger, V., Schladow, S.G., Schmid, C., Schmid, M., Schoeneich, P., Schreck, III, Selkirk, H.B., Sensoy, S., Shi, L., Shiklomanov, A.I., Shiklomanov, N.I., Shimpo, A., Shuman, C.A., Siegel, D.A., Sima, F., Simmons, A.J., Smeets, C.J.P.P., Smith, A., Smith, S.L., Soden, B., Sofieva, V., Sparks, T.H., Spence, J., Spencer, R.G.M., Spillane, S., Srivastava, A.K., Stabeno, P.J., Stackhouse, Jr., Stammerjohn, S., Stanitski, D.M., Steinbrecht, W., Stella, J.L., Stengel, M., Stephenson, T.S., Strahan, S.E., Streeter, C., Streletskiy, D.A., Sun-Mack, S., Suslova, A., Sutton, A.J., Swart, S., Sweet, W., Takahashi, K.S., Tank, S.E., Taylor, M.A., Tedesco, M., Thackeray, S.J., Thompson, P.R., Timbal, B., Timmermans, M.-L., Tobin, S., Tømmervik, H., Tourpali, K., Trachte, K., Tretiakov, M., Trewin, B.C., Triñanes, J.A., Trotman, A.R., Tschudi, M., Tye, M.R., van As, D., van de Wal, R.S.W., van der A, R.J., van der Schalie, R., van der Schrier, G., van der Werf, G.R., van Heerwaarden, C., Van Meerbeeck, C.J., Verburg, P., Vieira, G., Vincent, L.A., Vömel, H., Vose, R.S., Walker, D.A., Walsh, J.E., Wang, B., Wang, H., Wang, L., Wang, M., Wang, R., Wang, S.-H., Wanninkhof, R., Watanabe, S., Weber, M., Webster, M., Weerts, A., Weller, R.A., Westberry, T.K., Weyhenmeyer, G.A., Widlansky, M.J., Wijffels, S.E., Wilber, A.C., Wild, J.D., Willett, K.M., Wong, T., Wood, E.F., Woolway, R.I., Xue, Y., Yin, X., Yu, L., Zambrano, E., Zeyaeyan, S., Zhang, H.-M., Zhang, P., Zhao, G., Zhao, L., Zhou, X., Zhu, Z., Ziemke, J.R., Ziese, M., Andersen, A., Griffin, J., Hammer, G., Love-Brotak, S.E., Misch, D.J., Riddle, D.B., and Veasey, S.W.
- Published
- 2019
27. The effect of forest on mesoscale rainfall: an example for HAPEX-MOBILHY
- Author
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Blyth, E.M., Dolman, A.J., and Noilhan, J.
- Subjects
Rain and rainfall -- Analysis ,Forest microclimatology -- Analysis ,Earth sciences - Abstract
The meso-beta-scale model enables reproduction of observed temperature, humidity and wind speed changes that occur during frontal intrusion in southwest France. Local rainfall changes from 2.9 mm to 3.8 mm, an increase of 30% in comparison with that of bare-soils. A positive feedback of reevaporated water contributes to half of the above increase. Forest roughness length and related physical and dynamical effects cause an increase in rainfall and soil moisture.
- Published
- 1994
28. Sonic anemometer (co)sine response and flux measurement: I. The potential for (co)sine error to affect sonic anemometer-based flux measurements
- Author
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Gash, J.H.C. and Dolman, A.J.
- Published
- 2003
- Full Text
- View/download PDF
29. Regionalization and parameterization of exchange processes at the land surface-atmosphere interface
- Author
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Kabat, P., primary, Dolman, A.J., additional, Bastiaanssen, W.G.M., additional, Ogink-Hendriks, M.J., additional, and Elbers, J.A., additional
- Published
- 1995
- Full Text
- View/download PDF
30. Water balance, nutrient and carbon export from a heath forest catchment in central Amazonia, Brazil
- Author
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Zanchi, F. .B., Waterloo, M.J., Tapia, A.P., Alvarado Barrientos, M.S., Bolson, M.A., Luizao, F.J., Manzi, A.O., Dolman, A.J., Hydrology and Geo-environmental sciences, Earth and Climate, and Amsterdam Global Change Institute
- Subjects
SDG 6 - Clean Water and Sanitation - Abstract
Carbon storage values in the Amazon basin have been studied through different approaches in the last decades in order to clarify whether the rainforest ecosystem is likely to act as a sink or source for carbon in the near future. This water balance, dissolved organic carbon (DOC) and nutrient export study were carried out in a micro-scale heath forest (Campina) catchment in central Amazonia, Brazil. For a 1-year study period (18 March 2007 until 19 March 2008), rainfall amounted to 3054mm; of which, 1532mm was evaporated by the forest (4.1mmday-1). Rainfall interception loss amounted to 15.6% of gross rainfall. Surface runoff amounted to 485mm, whereas another 1071mm was discharged as regional groundwater outflow. Accumulated DOC exports in surface runoff amounted to 15.3gm-2year-1, whereas the total carbon exported was 55.9gm-2. This is much higher than that observed for a nearby tall rainforest catchment in central Amazonia (DOC export-2). As Campina heath forest areas cover a significant proportion of the Amazon Basin, these differences in ecosystem hydrological carbon exports should be taken into account in future studies assessing the carbon budget for the Amazon Basin. Macro-nutrient exports were low, but those of calcium and potassium were higher than those observed for tall rainforest in the Amazon, which may be caused by a lower retention capacity of the heath forest ecosystem.
- Published
- 2015
31. HAPEX-Sahel: A large-scale study of land-atmosphere interactions in the semi-arid tropics
- Author
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Gutorbe, J-P, Lebel, T, Tinga, A, Bessemoulin, P, Brouwer, J, Dolman, A.J, Engman, E. T, Gash, J. H. C, Hoepffner, M, and Kabat, P
- Subjects
Earth Resources And Remote Sensing - Abstract
The Hydrologic Atmospheric Pilot EXperiment in the Sahel (HAPEX-Sahel) was carried out in Niger, West Africa, during 1991-1992, with an intensive observation period (IOP) in August-October 1992. It aims at improving the parameteriztion of land surface atmospheric interactions at the Global Circulation Model (GCM) gridbox scale. The experiment combines remote sensing and ground based measurements with hydrological and meteorological modeling to develop aggregation techniques for use in large scale estimates of the hydrological and meteorological behavior of large areas in the Sahel. The experimental strategy consisted of a period of intensive measurements during the transition period of the rainy to the dry season, backed up by a series of long term measurements in a 1 by 1 deg square in Niger. Three 'supersites' were instrumented with a variety of hydrological and (micro) meteorological equipment to provide detailed information on the surface energy exchange at the local scale. Boundary layer measurements and aircraft measurements were used to provide information at scales of 100-500 sq km. All relevant remote sensing images were obtained for this period. This program of measurements is now being analyzed and an extensive modelling program is under way to aggregate the information at all scales up to the GCM grid box scale. The experimental strategy and some preliminary results of the IOP are described.
- Published
- 1994
32. State of Climate in 2012
- Author
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Blunden, J., Arndt, D.S., Achberger, C., Ackerman, S.A., Albanil, A., Alexander, P., Alfaro, E.J., Allan, R., Alves, L.M., Amador, J.A., Ambenje, P., Andrianjafinirina, S., Antonov, J., Aravequia, J.A., Arendt, A., Arevalo, J., Ashik, I., Altheru, Z., Banzon, V., Baringer, M.O., Barreira, S., Barriopedro, D.E., Beard, G., Becker, G., Behrenfeld, M.J., Bell, G.D., Benedetti, A., Bernhard, G., Berrisford, P., Berry, D.I., Bhatt, U., Bidegain, M., Bindoff, N., Bissolli, P., Blake, E.S., Booneeady, R., Bosilovich, M., Box, J.E., Boyer, T., Braathen, G.O., Bromwich, D.H., Brown, R., Brown, L., Bruhwiler, L., Bulygina, O.N., Burgess, D., Burrows, J., Calderon, B., Camargo, S.J., Campbell, J., Cao, Y., Cappelen, J., Carrasco, G., Chambers, D.P., Chang'a, L., Chappell, P., Chehade, W., Cheliah, M., Christiansen, H.H., Christy, J.R., Ciais, P., Coelho, C.A.S., Cogley, J.G., Colwell, S., Cross, J.N., Crouch, J., Cunningham, S.A., Dacic, M., de Jeu, R.A.M., Dekaa, F.S., Demircan, M., Derksen, C., Diamond, H.J., Dlugokencky, E.J., Dohan, K., Dolman, A.J., Spatial analysis & Decision Support, Earth and Climate, and Amsterdam Global Change Institute
- Subjects
SDG 13 - Climate Action ,SDG 14 - Life Below Water - Abstract
For the first time in several years, the El Nino-Southern Oscillation did not dominate regional climate conditions around the globe. A weak La Niña dissipated to ENSO-neutral conditions by spring, and while El Nino appeared to be emerging during summer, this phase never fully developed as sea surface temperatures in the eastern equatorial Pacific uncharacteristically returned to neutral conditions. Nevertheless, other large-scale climate patterns and extreme weather events impacted various regions during the year. A negative phase of the Arctic Oscillation from mid-January to early February contributed to frigid conditions in parts of northern Africa, eastern Europe, and western Asia. A lack of rain during the 2012 wet season led to the worst drought in at least the past three decades for northeastern Brazil. Central North America also experienced one of its most severe droughts on record. The Caribbean observed a very wet dry season and it was the Sahel's wettest rainy season in 50 years. Overall, the 2012 average temperature across global land and ocean surfaces ranked among the 10 warmest years on record. The global land surface temperature alone was also among the 10 warmest on record. In the upper atmosphere, the average stratospheric temperature was record or near-record cold, depending on the dataset. After a 30-year warming trend from 1970 to 1999 for global sea surface temperatures, the period 2000-12 had little further trend. This may be linked to the prevalence of La Niña-like conditions during the 21st century. Heat content in the upper 700 m of the ocean remained near record high levels in 2012. Net increases from 2011 to 2012 were observed at 700-m to 2000-m depth and even in the abyssal ocean below. Following sharp decreases in global sea level in the first half of 2011 that were linked to the effects of La Niña, sea levels rebounded to reach records highs in 2012. The increased hydrological cycle seen in recent years continued, with more evaporation in drier locations and more precipitation in rainy areas. In a pattern that has held since 2004, salty areas of the ocean surfaces and subsurfaces were anomalously salty on average, while fresher areas were anomalously fresh. Global tropical cyclone activity during 2012 was near average, with a total of 84 storms compared with the 1981-2010 average of 89. Similar to 2010 and 2011, the North Atlantic was the only hurricane basin that experienced above-normal activity. In this basin, Sandy brought devastation to Cuba and parts of the eastern North American seaboard. All other basins experienced either near- or below-normal tropical cyclone activity. Only three tropical cyclones reached Category 5 intensity-all in the Western North Pacific basin. Of these, Super Typhoon Bopha became the only storm in the historical record to produce winds greater than 130 kt south of 7°N. It was also the costliest storm to affect the Philippines and killed more than 1000 residents. Minimum Arctic sea ice extent in September and Northern Hemisphere snow cover extent in June both reached new record lows. June snow cover extent is now declining at a faster rate (-17.6% per decade) than September sea ice extent (-13.0% per decade). Permafrost temperatures reached record high values in northernmost Alaska. A new melt extent record occurred on 11-12 July on the Greenland ice sheet; 97% of the ice sheet showed some form of melt, four times greater than the average melt for this time of year. The climate in Antarctica was relatively stable overall. The largest maximum sea ice extent since records begain in 1978 was observed in September 2012. In the stratosphere, warm air led to the second smallest ozone hole in the past two decades. Even so, the springtime ozone layer above Antarctica likely will not return to its early 1980s state until about 2060. Following a slight decline associated with the global financial crisis, global CO
- Published
- 2014
33. Article 3.3 and 3.4 of the Kyoto Protocol: consequences for industrialised countries’ commitment, the monitoring needs, and possible side effects
- Author
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Nabuurs, G.J., Dolman, A.J., Verkaik, E., Kuikman, P.J., van Diepen, C.A., Whitmore, A.P., Daamen, W.P., Oenema, O., Kabat, P., and Mohren, G.M.J.
- Published
- 2000
- Full Text
- View/download PDF
34. The roughness length for heat of sparse vegetation
- Author
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Blyth, E.M. and Dolman, A.J.
- Subjects
Vegetation and climate -- Research ,Atmospheric thermodynamics -- Analysis ,Earth sciences - Abstract
A dual-source model is versatile in quantifying the roughness length for heat z(0h) for vegetation in sparse terrains. This model is an improvement of meteorological models, which use specified z(0h) values, as displayed in minimized errors pertaining to estimation of heat transfer properties. This model deals with energy balance over vegetation and soil separately.
- Published
- 1995
35. Land management: data availability and process understanding for global change studies
- Author
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Erb, K.H., Luyssaert, S., Meyfroidt, P., Pongratz, J., Don, A., Kloster, S., Kuemmerle, T., Fetzel, T., Fuchs, R., Herold, M., Haberl, H., Jones, C.D., Marín-Spoiotta, E., McCallum, I., Robertson, E., Seufert, V., Fritz, S., Valade, A., Wiltshire, A., Dolman, A.J., Erb, K.H., Luyssaert, S., Meyfroidt, P., Pongratz, J., Don, A., Kloster, S., Kuemmerle, T., Fetzel, T., Fuchs, R., Herold, M., Haberl, H., Jones, C.D., Marín-Spoiotta, E., McCallum, I., Robertson, E., Seufert, V., Fritz, S., Valade, A., Wiltshire, A., and Dolman, A.J.
- Abstract
In the light of daunting global sustainability challenges such as climate change, biodiversity loss and food security, improving our understanding of the complex dynamics of the Earth system is crucial. However, large knowledge gaps related to the effects of land management persist, in particular those human-induced changes in terrestrial ecosystems that do not result in land-cover conversions. Here, we review the current state of knowledge of ten common land management activities for their biogeochemical and biophysical impacts, the level of process understanding and data availability. Our review shows that ca. one-tenth of the ice-free land surface is under intense human management, half under medium and one-fifth under extensive management. Based on our review, we cluster these ten management activities into three groups: (i) management activities for which data sets are available, and for which a good knowledge base exists (cropland harvest and irrigation); (ii) management activities for which sufficient knowledge on biogeochemical and biophysical effects exists but robust global data sets are lacking (forest harvest, tree species selection, grazing and mowing harvest, N fertilization); and (iii) land management practices with severe data gaps concomitant with an unsatisfactory level of process understanding (crop species selection, artificial wetland drainage, tillage and fire management and crop residue management, an element of crop harvest). Although we identify multiple impediments to progress, we conclude that the current status of process understanding and data availability is sufficient to advance with incorporating management in, for example, Earth system or dynamic vegetation models in order to provide a systematic assessment of their role in the Earth system. This review contributes to a strategic prioritization of research efforts across multiple disciplines, including land system research, ecological research and Earth system modelling.
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- 2017
- Full Text
- View/download PDF
36. Land management: data availability and process understanding for global change studies
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Erb, K-H., Luyssaert, S., Meyfroidt, P., Pongratz, J., Don, A., Kloster, S., Kuemmerle, T., Fetzel, T., Fuchs, R., Herold, M., Haberl, H., Jones, C. D., Marín Spiotta, E., McCallum, I., Robertson, E., Seufert, V., Fritz, S., Valade, A., Wiltshire, A., Dolman, A.J., Erb, K-H., Luyssaert, S., Meyfroidt, P., Pongratz, J., Don, A., Kloster, S., Kuemmerle, T., Fetzel, T., Fuchs, R., Herold, M., Haberl, H., Jones, C. D., Marín Spiotta, E., McCallum, I., Robertson, E., Seufert, V., Fritz, S., Valade, A., Wiltshire, A., and Dolman, A.J.
- Abstract
In light of daunting global sustainability challenges such as climate change, biodiversity loss and food security, improving our understanding of the complex dynamics of the Earth system is crucial. However, large knowledge gaps related to the effects of land management persist, in particular those human-induced changes in terrestrial ecosystems that do not result in land cover conversions. Here we review the current state of knowledge of ten common land management activities for their biogeochemical and biophysical impacts, the level of process-understanding and data availability. Our review shows that ca. one tenth of the ice free land surface is under intense human management, half under medium and one fifth under extensive management. Based on our review, we cluster these ten management activities into three groups: (1) management activities for which datasets are available, and for which a good knowledge base exists (cropland harvest and irrigation); (2) management activities for which sufficient knowledge on biogeochemical and biophysical effects exists but robust global datasets are lacking (forest harvest, tree species selection, grazing and mowing harvest, N-fertilization); and (3) land management practices with severe data gaps concomitant with an unsatisfactory level of process understanding (crop species selection, artificial wetland drainage, tillage and fire management and crop residue management, an element of crop harvest). Although we identify multiple impediments to progress, we conclude that the current status of process understanding and data availability is sufficient to advance with incorporating management in e.g. Earth System or Dynamic Vegetation models in order to provide a systematic assessment of their role in the Earth system. This review contributes to a strategic prioritization of research efforts across multiple disciplines, including land system research, ecological research and Earth system modelling.
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- 2017
37. State of the climate in 2015
- Author
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Aaron-Morrison, A.P., Ackerman, S.A., Adams, N.G., Adler, R.F., Albanil, A., Alfaro, E.J., Allan, R., Alves, L.M., Amador, J.A., Andreassen, L.M., Arendt, A., Arévalo, J., Arndt, D.S., Arzhanova, N.M., Aschan, M.M., Azorin-Molina, C., Banzon, V., Bardin, M.U., Barichivich, J., Baringer, M.O., Barreira, S., Baxter, S., Bazo, J., Becker, A., Bedka, K.M., Behrenfeld, M.J., Bell, G.D., Belmont, M., Benedetti, A., Bernhard, G., Berrisford, P., Berry, D.I., Bettolli, M.L., Bhatt, U.S., Bidegain, M., Bill, B.D., Billheimer, S., Bissolli, P., Blake, E.S., Blunden, J., Bosilovich, M.G., Boucher, O., Boudet, D., Box, J.E., Boyer, T., Braathen, G.O., Bromwich, D.H., Brown, R., Bulygina, O.N., Burgess, D., Calderón, B., Camargo, S.J., Campbell, J.D., Cappelen, J., Carrasco, G., Carter, B.R., Chambers, D.P., Chandler, E., Christiansen, H.H., Christy, J.R., Chung, D., Chung, E.-S., Cinque, K., Clem, K.R., Coelho, C.A., Cogley, J.G., Coldewey-Egbers, M., Colwell, S., Cooper, O.R., Copland, L., Cosca, C.E., Cross, J.N., Crotwell, M.J., Crouch, J., Davis, S.M., De Eyto, E., De Jeu, R.A.M., De Laat, J., Degasperi, C.L., Degenstein, D., Demircan, M., Derksen, C., Destin, D., Di Girolamo, L., Di Giuseppe, F., Diamond, H.J., Dlugokencky, E.J., Dohan, K., Dokulil, M.T., Dolgov, A.V., Dolman, A.J., Domingues, C.M., Donat, M.G., Dong, S., Dorigo, W.A., Dortch, Q., Doucette, G., Drozdov, D.S., Ducklow, H., Dunn, R.J.H., Durán-Quesada, A.M., Dutton, G.S., Ebrahim, A., Elkharrim, M., Elkins, J.W., Espinoza, J.C., Etienne-Leblanc, S., Evans, T.E., Famiglietti, J.S., Farrell, S., Fateh, S., Fausto, R.S., Fedaeff, N., Feely, R.A., Feng, Z., Fenimore, C., Fettweis, X., Fioletov, V.E., Flemming, J., Fogarty, C.T., Fogt, R.L., Folland, C., Fonseca, C., Fossheim, M., Foster, M.J., Fountain, A., Francis, S.D., Franz, B.A., Frey, R.A., Frith, S.M., Froidevaux, L., Ganter, C., Garzoli, S., Gerland, S., Gobron, N., Goldenberg, S.B., Gomez, R.S., Goni, G., Goto, A., Grooß, J.-U., Gruber, A., Guard, C.C., Gugliemin, M., Gupta, Somil, Gutiérrez, J.M., Hagos, S., Hahn, S., Haimberger, L., Hakkarainen, J., Hall, B.D., Halpert, M.S., Hamlington, B.D., Hanna, E., Hansen, K., Hanssen-Bauer, I., Harris, I., Heidinger, A.K., Heikkilä, A., Heil, A., Heim, R.R., Hendricks, S., Hernández, M., Hidalgo, H.G., Hilburn, K., Ho, S.-P.B., Holmes, R.M., Hu, Z.-Z., Huang, B., Huelsing, H.K., Huffman, G.J., Hughes, C., Hurst, D.F., Ialongo, I., Ijampy, J.A., Ingvaldsen, R.B., Inness, A., Isaksen, K., Ishii, M., Jevrejeva, S., Jiménez, C., Jin, X., Johannesen, E., John, V., Johnsen, B., Johnson, B., Johnson, G.C., Jones, P.D., Joseph, A.C., Jumaux, G., Kabidi, K., Kaiser, J.W., Kato, S., Kazemi, A., Keller, L.M., Kendon, M., Kennedy, J., Kerr, K., Kholodov, A.L., Khoshkam, M., Killick, R., Kim, H., Kim, S.-J., Kimberlain, T.B., Klotzbach, P.J., Knaff, J.A., Kobayashi, S., Kohler, J., Korhonen, J., Korshunova, N.N., Kovacs, K.M., Kramarova, N., Kratz, D.P., Kruger, A., Kruk, M.C., Kudela, R., Kumar, A., Lakatos, M., Lakkala, K., Lander, M.A., Landsea, C.W., Lankhorst, M., Lantz, K., Lazzara, M.A., Lemons, P., Leuliette, E., L’Heureux, M., Lieser, J.L., Lin, I.-I., Liu, H., Liu, Y., Locarnini, R., Loeb, N.G., Lo Monaco, C., Long, C.S., López Álvarez, L.A., Lorrey, A.M., Loyola, D., Lumpkin, R., Luo, J.-J., Luojus, K., Lydersen, C., Lyman, J.M., Maberly, S.C., Maddux, B.C., Malheiros Ramos, A., Malkova, G.V., Manney, G., Marcellin, V., Marchenko, S.S., Marengo, J.A., Marra, J.J., Marszelewski, W., Martens, B., Martínez-Güingla, R., Massom, R.A., Mata, M.M., Mathis, J.T., May, L., Mayer, M., Mazloff, M., McBride, C., McCabe, M.F., McCarthy, M., McClelland, J.W., McGree, S., McVicar, T.R., Mears, C.A., Meier, W., Meinen, C.S., Mekonnen, A., Menéndez, M., Mengistu Tsidu, G., Menzel, W.P., Merchant, C.J., Meredith, M.P., Merrifield, M.A., Metzl, N., Minnis, P., Miralles, D.G., Mistelbauer, T., Mitchum, G.T., Monselesan, D., Monteiro, P., Montzka, S.A., Morice, C., Mote, T., Mudryk, L., Mühle, J., Mullan, A.B., Nash, E.R., Naveira-Garabato, A.C., Nerem, R.S., Newman, P.A., Nieto, J.J., Noetzli, J., O’Neel, S., Osborn, T.J., Overland, J., Oyunjargal, L., Parinussa, R.M., Park, E.-H., Parker, D., Parrington, M., Parsons, A.R., Pasch, R.J., Pascual-Ramírez, R., Paterson, A.M., Paulik, C., Pearce, P.R., Pelto, M.S., Peng, L., Perkins-Kirkpatrick, S.E., Perovich, D., Petropavlovskikh, I., Pezza, A.B., Phillips, D., Pinty, B., Pitts, M.C., Pons, M.R., Porter, A.O., Primicerio, R., Proshutinsky, A., Quegan, S., Quintana, J., Rahimzadeh, F., Rajeevan, M., Randriamarolaza, L., Razuvaev, V.N., Reagan, J., Reid, P., Reimer, C., Rémy, S., Renwick, J.A., Revadekar, J.V., Richter-Menge, J., Riffler, M., Rimmer, A., Rintoul, S., Robinson, D.A., Rodell, M., Rodríguez Solís, J.L., Romanovsky, V.E., Ronchail, J., Rosenlof, K.H., Roth, C., Rusak, J.A., Sabine, C.L., Sallée, J.-B., Sánchez-Lugo, A., Santee, M.L., Sawaengphokhai, P., Sayouri, A., Scambos, T.A., Schemm, J., Schladow, S.G., Schmid, C., Schmid, M., Schmidtko, S., Schreck, C.J., Selkirk, H.B., Send, U., Sensoy, S., Setzer, A., Sharp, M., Shaw, A., Shi, L., Shiklomanov, A.I., Shiklomanov, N.I., Siegel, D.A., Signorini, S.R., Sima, F., Simmons, A.J., Smeets, C.J.P.P., Smith, S.L., Spence, J.M., Srivastava, A.K., Stackhouse, P.W., Stammerjohn, S., Steinbrecht, W., Stella, J.L., Stengel, M., Stennett-Brown, R., Stephenson, T.S., Strahan, S., Streletskiy, D.A., Sun-Mack, S., Swart, S., Sweet, W., Talley, L.D., Tamar, G., Tank, S.E., Taylor, M.A., Tedesco, M., Teubner, K., Thoman, R.L., Thompson, P., Thomson, L., Timmermans, M.-L., Tirnanes, J.A., Tobin, S., Trachte, K., Trainer, V.L., Tretiakov, M., Trewin, B.C., Trotman, A.R., Tschudi, M., Van As, D., Van De Wal, R.S.W., van der A., R.J., Van Der Schalie, R., Van Der Schrier, G., Van Der Werf, G.R., Van Meerbeeck, C.J., Velicogna, I., Verburg, P., Vigneswaran, B., Vincent, L.A., Volkov, D., Vose, R.S., Wagner, W., Wåhlin, A., Wahr, J., Walsh, J., Wang, C., Wang, J., Wang, L., Wang, M., Wang, S.-H., Wanninkhof, R., Watanabe, S., Weber, M., Weller, R.A., Weyhenmeyer, G.A., Whitewood, R., Wijffels, S.E., Wilber, A.C., Wild, J.D., Willett, K.M., Williams, M.J.M., Willie, S., Wolken, G., Wong, T., Wood, E.F., Woolway, R.I., Wouters, B., Xue, Y., Yamada, R., Yim, S.-Y., Yin, X., Young, S.H., Yu, L., Zahid, H., Zambrano, E., Zhang, P., Zhao, G., Zhou, L., Ziemke, J.R., Love-Brotak, S.E., Gilbert, K., Maycock, T., Osborne, S., Sprain, M., Veasey, S.W., Ambrose, B.J., Griffin, J., Misch, D.J., Riddle, D.B., Young, T., Marine and Atmospheric Research, Sub Inorganic Chemistry and Catalysis, Sub Dynamics Meteorology, Sub Soft Condensed Matter, Sub Molecular Microbiology, Sub Physics of devices begr 1/1/17, LS Logica en grondslagen v.d. wiskunde, Sub SIM overig, Zonder bezoldiging NED, Sub General Pharmaceutics, Sub Algemeen Artificial Intelligence, Dynamics of Innovation Systems, Leerstoel Tubergen, Sub Chemical pharmacology, Hafd Faculteitsbureau GW, Sub IER overig, Sub Gen. Pharmacoepi and Clinical Pharm, LS Pharma, Dep IRAS, Environmental Sciences, Environmental Governance, Bureau AW, Sub Ecology and Biodiversity, Marine and Atmospheric Research, Sub Inorganic Chemistry and Catalysis, Sub Dynamics Meteorology, Sub Soft Condensed Matter, Sub Molecular Microbiology, Sub Physics of devices begr 1/1/17, LS Logica en grondslagen v.d. wiskunde, Sub SIM overig, Zonder bezoldiging NED, Sub General Pharmaceutics, Sub Algemeen Artificial Intelligence, Dynamics of Innovation Systems, Leerstoel Tubergen, Sub Chemical pharmacology, Hafd Faculteitsbureau GW, Sub IER overig, Sub Gen. Pharmacoepi and Clinical Pharm, LS Pharma, Dep IRAS, Environmental Sciences, Environmental Governance, Bureau AW, Sub Ecology and Biodiversity, Earth and Climate, Vrije Universiteit Amsterdam, Faculty of Earth and Life Sciences, and Climate Change and Landscape Dynamics
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Surface (mathematics) ,Atmospheric Science ,010504 meteorology & atmospheric sciences ,0208 environmental biotechnology ,Mineralogy ,02 engineering and technology ,15. Life on land ,01 natural sciences ,020801 environmental engineering ,13. Climate action ,F331 Atmospheric Physics ,SDG 13 - Climate Action ,SDG 14 - Life Below Water ,Geology ,0105 earth and related environmental sciences - Abstract
SxviAUGUST 2016|ABSTRACT—J. BLUNDEN AND D. S. ARNDTIn 2015, the dominant greenhouse gases released into Earth’s atmosphere—carbon dioxide, methane, and nitrous oxide—all continued to reach new high levels. At Mauna Loa, Hawaii, the annual CO2 concentration increased by a record 3.1 ppm, exceeding 400 ppm for the first time on record. The 2015 global CO2 average neared this threshold, at 399.4 ppm. Additionally, one of the strongest El Niño events since at least 1950 developed in spring 2015 and continued to evolve through the year. The phenomenon was far reaching, impacting many regions across the globe and affecting most aspects of the climate system.Owing to the combination of El Niño and a long-term up-ward trend, Earth observed record warmth for the second con-secutive year, with the 2015 annual global surface temperature surpassing the previous record by more than 0.1°C and exceed-ing the average for the mid- to late 19th century—commonly considered representative of preindustrial conditions—by more than 1°C for the first time. Above Earth’s surface, lower troposphere temperatures were near-record high.Across land surfaces, record to near-record warmth was reported across every inhabited continent. Twelve countries, including Russia and China, reported record high annual tem-peratures. In June, one of the most severe heat waves since 1980 affected Karachi, Pakistan, claiming over 1000 lives. On 27 October, Vredendal, South Africa, reached 48.4°C, a new global high temperature record for this month. In the Arctic, the 2015 land surface temperature was 1.2°C above the 1981–2010 average, tying 2007 and 2011 for the high-est annual temperature and representing a 2.8°C increase since the record began in 1900. Increasing temperatures have led to decreasing Arctic sea ice extent and thickness. On 25 February 2015, the lowest maximum sea ice extent in the 37-year satel-lite record was observed, 7% below the 1981–2010 average. Mean sea surface temperatures across the Arctic Ocean dur-ing August in ice-free regions, representative of Arctic Ocean summer anomalies, ranged from ~0°C to 8°C above average. As a consequence of sea ice retreat and warming oceans, vast walrus herds in the Pacific Arctic are hauling out on land rather than on sea ice, raising concern about the energetics of females and young animals. Increasing temperatures in the Barents Sea are linked to a community-wide shift in fish populations: boreal communities are now farther north, and long-standing Arctic species have been almost pushed out of the area.Above average sea surface temperatures are not confined to the Arctic. Sea surface temperature for 2015 was record high at the global scale; however, the North Atlantic southeast of Greenland remained colder than average and colder than 2014. Global annual ocean heat content and mean sea level also reached new record highs. The Greenland Ice Sheet, with the capacity to contribute ~7 m to sea level rise, experienced melting over more than 50% of its surface for the first time since the record melt of 2012.Other aspects of the cryosphere were remarkable. Alpine glacier retreat continued, and preliminary data indicate that 2015 is the 36th consecutive year of negative annual mass balance. Across the Northern Hemisphere, late-spring snow cover extent continued its trend of decline, with June the sec-ond lowest in the 49-year satellite record. Below the surface, record high temperatures at 20-m depth were measured at all permafrost observatories on the North Slope of Alaska, increasing by up to 0.66°C decade–1 since 2000. In the Antarctic, surface pressure and temperatures were lower than the 1981–2010 average for most of the year, consis-tent with the primarily positive southern annular mode, which saw a record high index value of +4.92 in February. Antarctic sea ice extent and area had large intra-annual variability, with a shift from record high levels in May to record low levels in August. Springtime ozone depletion resulted in one of the largest and most persistent Antarctic ozone holes observed since the 1990s.Closer to the equator, 101 named tropical storms were observed in 2015, well above the 1981–2010 average of 82. The eastern/central Pacific had 26 named storms, the most since 1992. The western north Pacific and north and south Indian Ocean basins also saw high activity. Globally, eight tropical cyclones reached the Saffir–Simpson Category 5 intensity level.Overlaying a general increase in the hydrologic cycle, the strong El Niño enhanced precipitation variability around the world. An above-normal rainy season led to major floods in Paraguay, Bolivia, and southern Brazil. In May, the United States recorded its all-time wettest month in its 121-year national record. Denmark and Norway reported their second and third wettest year on record, respectively, but globally soil moisture was below average, terrestrial groundwater storage was the lowest in the 14-year record, and areas in “severe” drought rose from 8% in 2014 to 14% in 2015. Drought conditions prevailed across many Caribbean island nations, Colombia, Venezuela, and northeast Brazil for most of the year. Several South Pacific countries also experienced drought. Lack of rainfall across Ethiopia led to its worst drought in decades and affected millions of people, while prolonged drought in South Africa severely affected agricultural production. Indian summer monsoon rainfall was just 86% of average. Extremely dry conditions in Indonesia resulted in intense and widespread fires during August–November that produced abundant car-bonaceous aerosols, carbon monoxide, and ozone. Overall, emissions from tropical Asian biomass burning in 2015 were almost three times the 2001–14 average.
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- 2016
38. Process – based modeling of northern wetland methane emissions – what are the limits?
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van Huissteden, J., Mi, Y., Budishchev, A., Gallagher, A., Belelli Marchesini, L., Dolman, A.J., Earth and Climate, and Amsterdam Global Change Institute
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- 2015
39. How is climate warming altering the carbon cycle of a tundra ecosystem in the Siberian Arctic?
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Belelli Marchesini, L., van Huissteden, J., van der Molen, M.K., Parmentier, F.J.W., Maximov, T.C., Budishchev, A., Gallagher, A., Dolman, A.J., Earth and Climate, Hydrology and Geo-environmental sciences, and Amsterdam Global Change Institute
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- 2015
40. Worldwide spatiotemporal atmospheric ammonia (NH3) columns variability revealed by satellite
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van Damme, M., Erisman, J.W., Clarisse, L., Dammers, E., Whitburn, S., Clerbaux, C., Dolman, A.J., Coheur, P.F., Spectroscopie de l'atmosphère, Service de Chimie Quantique et Photophysique, Université libre de Bruxelles (ULB), Faculty of Earth and Life Sciences [Amsterdam] (FALW), Vrije Universiteit Amsterdam [Amsterdam] (VU), Louis Bolk Institute (LBI), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), F.R.S.-FNRS, the Belgian State Federal Office for Scientific, Technical and Cultural Affairs, European Commission, European Project: 282910,EC:FP7:ENV,FP7-ENV-2011,ECLAIRE(2011), European Project: 606719,EC:FP7:SPA,FP7-SPACE-2013-1,PANDA(2014), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Earth and Climate, and Amsterdam Global Change Institute
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[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph] ,IASI satellite ,spatiotemporal variability ,seasonality ,NH3 source processes ,N cycle ,NH3 ,ammonia - Abstract
International audience; We exploit six years of measurements from the IASI/MetOp-A instrument to identify seasonal patterns and inter-annual variability of atmospheric NH3. This is achieved by analyzing the time evolution of the monthly-mean NH3 columns in 12 subcontinental areas around the world, simultaneously considering measurements from IASI morning and evening overpasses. For most regions, IASI has a sufficient sensitivity throughout the years to capture the seasonal patterns of NH3 columns, and we show that each region is characterized by a well-marked and distinctive cycle, with maxima mainly related to underlying emission processes. The largest column abundances and seasonal amplitudes throughout the years are found in Southwestern Asia,with maxima twice as large as what is observed in Southeastern China. The relation between emission sources and retrieved NH3 columns is emphasized at smaller regional scale by inferring a climatology of the month of maximum columns.
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- 2015
41. Erratum : Global cropland monthly gross primary production in the year 2000 (Biogeosciences (2014) 11 (3871-3880) DOI: 10.5194/bg-11-3871-2014)
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Chen, T., Van Der Werf, G.R., Gobron, N., Moors, E.J., and Dolman, A.J.
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Climate Resilience ,Klimaatbestendigheid ,Life Science - Published
- 2015
42. Feedbacks between vegetation and rainfall in the Amazon basin
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Gerten, Dieter, Sampaio de Oliveira, Gilvan, Dolman, A.J. (Han), Zemp, Delphine Clara, Gerten, Dieter, Sampaio de Oliveira, Gilvan, Dolman, A.J. (Han), and Zemp, Delphine Clara
- Abstract
Das erste Ziel dieser Arbeit ist eine umfassende Analyse der Wasserflüsse durchzuführen und Quellen und Senken des kontinentalen Niederschlags zu identifizieren. Als Analysemethode werden komplexe Netzwerke verwendet, ein Ansatz, mit dessen Hilfe das neuartige Konzept des “cascading moisture recycling'''' (CMR) eingeführt wird. CMR wird als vielfache Verdunstung von Niederschlag während des Feuchtigkeitstransports über bewaldeten Gebieten definiert. Dieses Verfahren ermöglicht es, den Anteil von CMR an der Menge des regionalen Niederschlags zu quantifizieren und Schlüsselregionen des CMR zu identifizieren. Die Analyse zeigt, dass der südliche Bereich des Amazonasbeckens nicht nur eine direkte Quelle für Niederschlag im La-Plata Becken ist, sondern auch als ``Brückenregion'''' dient, über die die verdunstete Feuchtigkeit des ganzen Amazonasbeckens auf dem Weg in die Subtropen transportiert wird. Die Ergebnisse zeigen, dass eine Neubewertung der Vulnerabilität des Amazonasregenwalds unter Umweltveränderungen unabdingbar ist. Dies ist das zweite Ziel der vorliegenden Arbeit. Durch diese Veränderungen könnten große Teile des Regenwaldes in eine Savanne umgewandelt werden. Dies würde wiederum den Niederschlag reduzieren, was sich negativ auf die Stabilität der verbleibenden Waldgebiete auswirken und ein Waldsterben verursachen kann. Für die Analyse dieser Zusammenhänge werden ebenfalls komplexe Netzwerke verwendet, um das Konzept der Ökosystem-Resilienz und CMR basierend auf Beobachtungsdaten zu kombinieren. Es werden die Schlüsselregionen, in denen Entwaldung zu einer Destabilisierung der verbleibenden Wald führt, identifiziert und die Möglichkeit eines großflächigen Absterben des Regenwaldes aufgrund von verlängerter Trockenzeit untersucht. Die Ergebnisse zeigen, dass die Diversität des Regenwaldes und die durch den Feuchtigkeitstransport gegebene Konnektivität der Waldgebiete eine wichtige Rolle für die Stabilität und ökologische Integrität dieses Ökosystems spielen., The first aim of this thesis is to improve the understanding of vegetation-atmosphere interactions by means of complex network analysis of water fluxes from the sources to the sinks of rainfall in South America. This novel approach allows to introduce the concept of “cascading moisture recycling” defined as moisture recycling on the continent involving re-evaporation cycles along the way. A methodological framework is developed to quantify the importance of cascading moisture recycling and to identify key regions that sustain this process. It reveals, for instance, that the southern part of the Amazon basin is not only a direct source of rainfall for the La Plata basin as previously thought but also an intermediary region that re-distribute moisture evaporating from the entire Amazon basin towards the subtropics. This new concept lays the foundation for evaluating the vulnerability of the Amazon forest to environmental perturbations, which is the second aim of this thesis. Land-use and rainfall variability are expected to be intensified at the end of the twenty-first century and may push the south-eastern part of the Amazon forest towards a grass-dominated ecosystem. Such a forest loss would reduce local dry-season evapotranspiration and the resulting moisture supply for down-wind rainfall. In turn, this might erode the resilience of the remaining forest and lead to further forest losses. Using a complex network approach, the concepts of forest resilience and cascading moisture recycling are combined in a data-driven modeling framework. Key regions are identified where deforestation would greatly destabilize the remaining forest, as well as tipping points in dry-season intensification for large-scale self-amplified Amazon forest loss. The findings highlight the need to maintain the diversity and connectivity of forest patches in order to sustain the ecological integrity of the largest remaining tropical forest on Earth.
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- 2016
43. State of the climate in 2015
- Author
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Marine and Atmospheric Research, Sub Inorganic Chemistry and Catalysis, Sub Dynamics Meteorology, Sub Soft Condensed Matter, Sub Molecular Microbiology, Sub Physics of devices begr 1/1/17, LS Logica en grondslagen v.d. wiskunde, Sub SIM overig, Zonder bezoldiging NED, Sub General Pharmaceutics, Sub Algemeen Artificial Intelligence, Dynamics of Innovation Systems, Leerstoel Tubergen, Sub Chemical pharmacology, Hafd Faculteitsbureau GW, Sub ISEP overig, Sub Gen. Pharmacoepi and Clinical Pharm, LS Pharma, Dep IRAS, Environmental Sciences, Environmental Governance, Bureau AW, Sub Ecology and Biodiversity, Aaron-Morrison, A.P., Ackerman, S.A., Adams, N.G., Adler, R.F., Albanil, A., Alfaro, E.J., Allan, R., Alves, L.M., Amador, J.A., Andreassen, L.M., Arendt, A., Arévalo, J., Arndt, D.S., Arzhanova, N.M., Aschan, M.M., Azorin-Molina, C., Banzon, V., Bardin, M.U., Barichivich, J., Baringer, M.O., Barreira, S., Baxter, S., Bazo, J., Becker, A., Bedka, K.M., Behrenfeld, M.J., Bell, G.D., Belmont, M., Benedetti, A., Bernhard, G., Berrisford, P., Berry, D.I., Bettolli, M.L., Bhatt, U.S., Bidegain, M., Bill, B.D., Billheimer, S., Bissolli, P., Blake, E.S., Blunden, J., Bosilovich, M.G., Boucher, O., Boudet, D., Box, J.E., Boyer, T., Braathen, G.O., Bromwich, D.H., Brown, R., Bulygina, O.N., Burgess, D., Calderón, B., Camargo, S.J., Campbell, J.D., Cappelen, J., Carrasco, G., Carter, B.R., Chambers, D.P., Chandler, E., Christiansen, H.H., Christy, J.R., Chung, D., Chung, E.-S., Cinque, K., Clem, K.R., Coelho, C.A., Cogley, J.G., Coldewey-Egbers, M., Colwell, S., Cooper, O.R., Copland, L., Cosca, C.E., Cross, J.N., Crotwell, M.J., Crouch, J., Davis, S.M., De Eyto, E., De Jeu, R.A.M., De Laat, J., Degasperi, C.L., Degenstein, D., Demircan, M., Derksen, C., Destin, D., Di Girolamo, L., Di Giuseppe, F., Diamond, H.J., Dlugokencky, E.J., Dohan, K., Dokulil, M.T., Dolgov, A.V., Dolman, A.J., Domingues, C.M., Donat, M.G., Dong, S., Dorigo, W.A., Dortch, Q., Doucette, G., Drozdov, D.S., Ducklow, H., Dunn, R.J.H., Durán-Quesada, A.M., Dutton, G.S., Ebrahim, A., Elkharrim, M., Elkins, J.W., Espinoza, J.C., Etienne-Leblanc, S., Evans, T.E., Famiglietti, J.S., Farrell, S., Fateh, S., Fausto, R.S., Fedaeff, N., Feely, R.A., Feng, Z., Fenimore, C., Fettweis, X., Fioletov, V.E., Flemming, J., Fogarty, C.T., Fogt, R.L., Folland, C., Fonseca, C., Fossheim, M., Foster, M.J., Fountain, A., Francis, S.D., Franz, B.A., Frey, R.A., Frith, S.M., Froidevaux, L., Ganter, C., Garzoli, S., Gerland, S., Gobron, N., Goldenberg, S.B., Gomez, R.S., Goni, G., Goto, A., Grooß, J.-U., Gruber, A., Guard, C.C., Gugliemin, M., Gupta, Somil, Gutiérrez, J.M., Hagos, S., Hahn, S., Haimberger, L., Hakkarainen, J., Hall, B.D., Halpert, M.S., Hamlington, B.D., Hanna, E., Hansen, K., Hanssen-Bauer, I., Harris, I., Heidinger, A.K., Heikkilä, A., Heil, A., Heim, R.R., Hendricks, S., Hernández, M., Hidalgo, H.G., Hilburn, K., Ho, S.-P.B., Holmes, R.M., Hu, Z.-Z., Huang, B., Huelsing, H.K., Huffman, G.J., Hughes, C., Hurst, D.F., Ialongo, I., Ijampy, J.A., Ingvaldsen, R.B., Inness, A., Isaksen, K., Ishii, M., Jevrejeva, S., Jiménez, C., Jin, X., Johannesen, E., John, V., Johnsen, B., Johnson, B., Johnson, G.C., Jones, P.D., Joseph, A.C., Jumaux, G., Kabidi, K., Kaiser, J.W., Kato, S., Kazemi, A., Keller, L.M., Kendon, M., Kennedy, J., Kerr, K., Kholodov, A.L., Khoshkam, M., Killick, R., Kim, H., Kim, S.-J., Kimberlain, T.B., Klotzbach, P.J., Knaff, J.A., Kobayashi, S., Kohler, J., Korhonen, J., Korshunova, N.N., Kovacs, K.M., Kramarova, N., Kratz, D.P., Kruger, A., Kruk, M.C., Kudela, R., Kumar, A., Lakatos, M., Lakkala, K., Lander, M.A., Landsea, C.W., Lankhorst, M., Lantz, K., Lazzara, M.A., Lemons, P., Leuliette, E., L’Heureux, M., Lieser, J.L., Lin, I.-I., Liu, H., Liu, Y., Locarnini, R., Loeb, N.G., Lo Monaco, C., Long, C.S., López Álvarez, L.A., Lorrey, A.M., Loyola, D., Lumpkin, R., Luo, J.-J., Luojus, K., Lydersen, C., Lyman, J.M., Maberly, S.C., Maddux, B.C., Malheiros Ramos, A., Malkova, G.V., Manney, G., Marcellin, V., Marchenko, S.S., Marengo, J.A., Marra, J.J., Marszelewski, W., Martens, B., Martínez-Güingla, R., Massom, R.A., Mata, M.M., Mathis, J.T., May, L., Mayer, M., Mazloff, M., McBride, C., McCabe, M.F., McCarthy, M., McClelland, J.W., McGree, S., McVicar, T.R., Mears, C.A., Meier, W., Meinen, C.S., Mekonnen, A., Menéndez, M., Mengistu Tsidu, G., Menzel, W.P., Merchant, C.J., Meredith, M.P., Merrifield, M.A., Metzl, N., Minnis, P., Miralles, D.G., Mistelbauer, T., Mitchum, G.T., Monselesan, D., Monteiro, P., Montzka, S.A., Morice, C., Mote, T., Mudryk, L., Mühle, J., Mullan, A.B., Nash, E.R., Naveira-Garabato, A.C., Nerem, R.S., Newman, P.A., Nieto, J.J., Noetzli, J., O’Neel, S., Osborn, T.J., Overland, J., Oyunjargal, L., Parinussa, R.M., Park, E.-H., Parker, D., Parrington, M., Parsons, A.R., Pasch, R.J., Pascual-Ramírez, R., Paterson, A.M., Paulik, C., Pearce, P.R., Pelto, M.S., Peng, L., Perkins-Kirkpatrick, S.E., Perovich, D., Petropavlovskikh, I., Pezza, A.B., Phillips, D., Pinty, B., Pitts, M.C., Pons, M.R., Porter, A.O., Primicerio, R., Proshutinsky, A., Quegan, S., Quintana, J., Rahimzadeh, F., Rajeevan, M., Randriamarolaza, L., Razuvaev, V.N., Reagan, J., Reid, P., Reimer, C., Rémy, S., Renwick, J.A., Revadekar, J.V., Richter-Menge, J., Riffler, M., Rimmer, A., Rintoul, S., Robinson, D.A., Rodell, M., Rodríguez Solís, J.L., Romanovsky, V.E., Ronchail, J., Rosenlof, K.H., Roth, C., Rusak, J.A., Sabine, C.L., Sallée, J.-B., Sánchez-Lugo, A., Santee, M.L., Sawaengphokhai, P., Sayouri, A., Scambos, T.A., Schemm, J., Schladow, S.G., Schmid, C., Schmid, M., Schmidtko, S., Schreck, C.J., Selkirk, H.B., Send, U., Sensoy, S., Setzer, A., Sharp, M., Shaw, A., Shi, L., Shiklomanov, A.I., Shiklomanov, N.I., Siegel, D.A., Signorini, S.R., Sima, F., Simmons, A.J., Smeets, C.J.P.P., Smith, S.L., Spence, J.M., Srivastava, A.K., Stackhouse, P.W., Stammerjohn, S., Steinbrecht, W., Stella, J.L., Stengel, M., Stennett-Brown, R., Stephenson, T.S., Strahan, S., Streletskiy, D.A., Sun-Mack, S., Swart, S., Sweet, W., Talley, L.D., Tamar, G., Tank, S.E., Taylor, M.A., Tedesco, M., Teubner, K., Thoman, R.L., Thompson, P., Thomson, L., Timmermans, M.-L., Tirnanes, J.A., Tobin, S., Trachte, K., Trainer, V.L., Tretiakov, M., Trewin, B.C., Trotman, A.R., Tschudi, M., Van As, D., Van De Wal, R.S.W., van der A., R.J., Van Der Schalie, R., Van Der Schrier, G., Van Der Werf, G.R., Van Meerbeeck, C.J., Velicogna, I., Verburg, P., Vigneswaran, B., Vincent, L.A., Volkov, D., Vose, R.S., Wagner, W., Wåhlin, A., Wahr, J., Walsh, J., Wang, C., Wang, J., Wang, L., Wang, M., Wang, S.-H., Wanninkhof, R., Watanabe, S., Weber, M., Weller, R.A., Weyhenmeyer, G.A., Whitewood, R., Wijffels, S.E., Wilber, A.C., Wild, J.D., Willett, K.M., Williams, M.J.M., Willie, S., Wolken, G., Wong, T., Wood, E.F., Woolway, R.I., Wouters, B., Xue, Y., Yamada, R., Yim, S.-Y., Yin, X., Young, S.H., Yu, L., Zahid, H., Zambrano, E., Zhang, P., Zhao, G., Zhou, L., Ziemke, J.R., Love-Brotak, S.E., Gilbert, K., Maycock, T., Osborne, S., Sprain, M., Veasey, S.W., Ambrose, B.J., Griffin, J., Misch, D.J., Riddle, D.B., Young, T., Marine and Atmospheric Research, Sub Inorganic Chemistry and Catalysis, Sub Dynamics Meteorology, Sub Soft Condensed Matter, Sub Molecular Microbiology, Sub Physics of devices begr 1/1/17, LS Logica en grondslagen v.d. wiskunde, Sub SIM overig, Zonder bezoldiging NED, Sub General Pharmaceutics, Sub Algemeen Artificial Intelligence, Dynamics of Innovation Systems, Leerstoel Tubergen, Sub Chemical pharmacology, Hafd Faculteitsbureau GW, Sub ISEP overig, Sub Gen. Pharmacoepi and Clinical Pharm, LS Pharma, Dep IRAS, Environmental Sciences, Environmental Governance, Bureau AW, Sub Ecology and Biodiversity, Aaron-Morrison, A.P., Ackerman, S.A., Adams, N.G., Adler, R.F., Albanil, A., Alfaro, E.J., Allan, R., Alves, L.M., Amador, J.A., Andreassen, L.M., Arendt, A., Arévalo, J., Arndt, D.S., Arzhanova, N.M., Aschan, M.M., Azorin-Molina, C., Banzon, V., Bardin, M.U., Barichivich, J., Baringer, M.O., Barreira, S., Baxter, S., Bazo, J., Becker, A., Bedka, K.M., Behrenfeld, M.J., Bell, G.D., Belmont, M., Benedetti, A., Bernhard, G., Berrisford, P., Berry, D.I., Bettolli, M.L., Bhatt, U.S., Bidegain, M., Bill, B.D., Billheimer, S., Bissolli, P., Blake, E.S., Blunden, J., Bosilovich, M.G., Boucher, O., Boudet, D., Box, J.E., Boyer, T., Braathen, G.O., Bromwich, D.H., Brown, R., Bulygina, O.N., Burgess, D., Calderón, B., Camargo, S.J., Campbell, J.D., Cappelen, J., Carrasco, G., Carter, B.R., Chambers, D.P., Chandler, E., Christiansen, H.H., Christy, J.R., Chung, D., Chung, E.-S., Cinque, K., Clem, K.R., Coelho, C.A., Cogley, J.G., Coldewey-Egbers, M., Colwell, S., Cooper, O.R., Copland, L., Cosca, C.E., Cross, J.N., Crotwell, M.J., Crouch, J., Davis, S.M., De Eyto, E., De Jeu, R.A.M., De Laat, J., Degasperi, C.L., Degenstein, D., Demircan, M., Derksen, C., Destin, D., Di Girolamo, L., Di Giuseppe, F., Diamond, H.J., Dlugokencky, E.J., Dohan, K., Dokulil, M.T., Dolgov, A.V., Dolman, A.J., Domingues, C.M., Donat, M.G., Dong, S., Dorigo, W.A., Dortch, Q., Doucette, G., Drozdov, D.S., Ducklow, H., Dunn, R.J.H., Durán-Quesada, A.M., Dutton, G.S., Ebrahim, A., Elkharrim, M., Elkins, J.W., Espinoza, J.C., Etienne-Leblanc, S., Evans, T.E., Famiglietti, J.S., Farrell, S., Fateh, S., Fausto, R.S., Fedaeff, N., Feely, R.A., Feng, Z., Fenimore, C., Fettweis, X., Fioletov, V.E., Flemming, J., Fogarty, C.T., Fogt, R.L., Folland, C., Fonseca, C., Fossheim, M., Foster, M.J., Fountain, A., Francis, S.D., Franz, B.A., Frey, R.A., Frith, S.M., Froidevaux, L., Ganter, C., Garzoli, S., Gerland, S., Gobron, N., Goldenberg, S.B., Gomez, R.S., Goni, G., Goto, A., Grooß, J.-U., Gruber, A., Guard, C.C., Gugliemin, M., Gupta, Somil, Gutiérrez, J.M., Hagos, S., Hahn, S., Haimberger, L., Hakkarainen, J., Hall, B.D., Halpert, M.S., Hamlington, B.D., Hanna, E., Hansen, K., Hanssen-Bauer, I., Harris, I., Heidinger, A.K., Heikkilä, A., Heil, A., Heim, R.R., Hendricks, S., Hernández, M., Hidalgo, H.G., Hilburn, K., Ho, S.-P.B., Holmes, R.M., Hu, Z.-Z., Huang, B., Huelsing, H.K., Huffman, G.J., Hughes, C., Hurst, D.F., Ialongo, I., Ijampy, J.A., Ingvaldsen, R.B., Inness, A., Isaksen, K., Ishii, M., Jevrejeva, S., Jiménez, C., Jin, X., Johannesen, E., John, V., Johnsen, B., Johnson, B., Johnson, G.C., Jones, P.D., Joseph, A.C., Jumaux, G., Kabidi, K., Kaiser, J.W., Kato, S., Kazemi, A., Keller, L.M., Kendon, M., Kennedy, J., Kerr, K., Kholodov, A.L., Khoshkam, M., Killick, R., Kim, H., Kim, S.-J., Kimberlain, T.B., Klotzbach, P.J., Knaff, J.A., Kobayashi, S., Kohler, J., Korhonen, J., Korshunova, N.N., Kovacs, K.M., Kramarova, N., Kratz, D.P., Kruger, A., Kruk, M.C., Kudela, R., Kumar, A., Lakatos, M., Lakkala, K., Lander, M.A., Landsea, C.W., Lankhorst, M., Lantz, K., Lazzara, M.A., Lemons, P., Leuliette, E., L’Heureux, M., Lieser, J.L., Lin, I.-I., Liu, H., Liu, Y., Locarnini, R., Loeb, N.G., Lo Monaco, C., Long, C.S., López Álvarez, L.A., Lorrey, A.M., Loyola, D., Lumpkin, R., Luo, J.-J., Luojus, K., Lydersen, C., Lyman, J.M., Maberly, S.C., Maddux, B.C., Malheiros Ramos, A., Malkova, G.V., Manney, G., Marcellin, V., Marchenko, S.S., Marengo, J.A., Marra, J.J., Marszelewski, W., Martens, B., Martínez-Güingla, R., Massom, R.A., Mata, M.M., Mathis, J.T., May, L., Mayer, M., Mazloff, M., McBride, C., McCabe, M.F., McCarthy, M., McClelland, J.W., McGree, S., McVicar, T.R., Mears, C.A., Meier, W., Meinen, C.S., Mekonnen, A., Menéndez, M., Mengistu Tsidu, G., Menzel, W.P., Merchant, C.J., Meredith, M.P., Merrifield, M.A., Metzl, N., Minnis, P., Miralles, D.G., Mistelbauer, T., Mitchum, G.T., Monselesan, D., Monteiro, P., Montzka, S.A., Morice, C., Mote, T., Mudryk, L., Mühle, J., Mullan, A.B., Nash, E.R., Naveira-Garabato, A.C., Nerem, R.S., Newman, P.A., Nieto, J.J., Noetzli, J., O’Neel, S., Osborn, T.J., Overland, J., Oyunjargal, L., Parinussa, R.M., Park, E.-H., Parker, D., Parrington, M., Parsons, A.R., Pasch, R.J., Pascual-Ramírez, R., Paterson, A.M., Paulik, C., Pearce, P.R., Pelto, M.S., Peng, L., Perkins-Kirkpatrick, S.E., Perovich, D., Petropavlovskikh, I., Pezza, A.B., Phillips, D., Pinty, B., Pitts, M.C., Pons, M.R., Porter, A.O., Primicerio, R., Proshutinsky, A., Quegan, S., Quintana, J., Rahimzadeh, F., Rajeevan, M., Randriamarolaza, L., Razuvaev, V.N., Reagan, J., Reid, P., Reimer, C., Rémy, S., Renwick, J.A., Revadekar, J.V., Richter-Menge, J., Riffler, M., Rimmer, A., Rintoul, S., Robinson, D.A., Rodell, M., Rodríguez Solís, J.L., Romanovsky, V.E., Ronchail, J., Rosenlof, K.H., Roth, C., Rusak, J.A., Sabine, C.L., Sallée, J.-B., Sánchez-Lugo, A., Santee, M.L., Sawaengphokhai, P., Sayouri, A., Scambos, T.A., Schemm, J., Schladow, S.G., Schmid, C., Schmid, M., Schmidtko, S., Schreck, C.J., Selkirk, H.B., Send, U., Sensoy, S., Setzer, A., Sharp, M., Shaw, A., Shi, L., Shiklomanov, A.I., Shiklomanov, N.I., Siegel, D.A., Signorini, S.R., Sima, F., Simmons, A.J., Smeets, C.J.P.P., Smith, S.L., Spence, J.M., Srivastava, A.K., Stackhouse, P.W., Stammerjohn, S., Steinbrecht, W., Stella, J.L., Stengel, M., Stennett-Brown, R., Stephenson, T.S., Strahan, S., Streletskiy, D.A., Sun-Mack, S., Swart, S., Sweet, W., Talley, L.D., Tamar, G., Tank, S.E., Taylor, M.A., Tedesco, M., Teubner, K., Thoman, R.L., Thompson, P., Thomson, L., Timmermans, M.-L., Tirnanes, J.A., Tobin, S., Trachte, K., Trainer, V.L., Tretiakov, M., Trewin, B.C., Trotman, A.R., Tschudi, M., Van As, D., Van De Wal, R.S.W., van der A., R.J., Van Der Schalie, R., Van Der Schrier, G., Van Der Werf, G.R., Van Meerbeeck, C.J., Velicogna, I., Verburg, P., Vigneswaran, B., Vincent, L.A., Volkov, D., Vose, R.S., Wagner, W., Wåhlin, A., Wahr, J., Walsh, J., Wang, C., Wang, J., Wang, L., Wang, M., Wang, S.-H., Wanninkhof, R., Watanabe, S., Weber, M., Weller, R.A., Weyhenmeyer, G.A., Whitewood, R., Wijffels, S.E., Wilber, A.C., Wild, J.D., Willett, K.M., Williams, M.J.M., Willie, S., Wolken, G., Wong, T., Wood, E.F., Woolway, R.I., Wouters, B., Xue, Y., Yamada, R., Yim, S.-Y., Yin, X., Young, S.H., Yu, L., Zahid, H., Zambrano, E., Zhang, P., Zhao, G., Zhou, L., Ziemke, J.R., Love-Brotak, S.E., Gilbert, K., Maycock, T., Osborne, S., Sprain, M., Veasey, S.W., Ambrose, B.J., Griffin, J., Misch, D.J., Riddle, D.B., and Young, T.
- Published
- 2016
44. Contribution of water-limited ecoregions to their own supply of rainfall
- Author
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Miralles, Diego G., Nieto, Raquel, Mcdowell, Nathan G., Dorigo, Wouter A., Verhoest, Niko E.C., Liu, Yi Y., Teuling, Ryan, Dolman, A.J., Good, Stephen P., Gimeno, Luis, Miralles, Diego G., Nieto, Raquel, Mcdowell, Nathan G., Dorigo, Wouter A., Verhoest, Niko E.C., Liu, Yi Y., Teuling, Ryan, Dolman, A.J., Good, Stephen P., and Gimeno, Luis
- Abstract
The occurrence of wet and dry growing seasons in water-limited regions remains poorly understood, partly due to the complex role that these regions play in the genesis of their own rainfall. This limits the predictability of global carbon and water budgets, and hinders the regional management of naturalresources. Using novel satellite observations and atmospheric trajectory modelling, we unravel the origin and immediate drivers of growing-season precipitation, and the extent to which ecoregions themselves contribute to their own supply of rainfall. Results show that persistent anomalies in growing-season precipitation—and subsequent biomass anomalies—are caused by a complex interplay of land and ocean evaporation, air circulation and local atmospheric stability changes. For regions such as the Kalahari and Australia, the volumes of moisture recycling decline in dry years, providing a positive feedback that intensifies dry conditions. However, recycling ratios increase up to40%, pointing to the crucial role of these regions in generating their own supply of rainfall; transpiration in periods of water stress allows vegetation to partly offset the decrease in regional precipitation. Findings highlight the need to adequately represent vegetation–atmosphere feedbacks in models to predict biomass changes and to simulate the fate of water-limited regions in our warming climate.
- Published
- 2016
45. Sonic anemometer (co) sine response and flux measurement I. The potential for (co)sine error to affect sonic anemometer-based flux measurements. Agriculture and Forest Meteorology 119 (2003)
- Author
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Gash, J.H.C., Dolman, A.J., and Hydrology and Geo-environmental sciences
- Subjects
Astrophysics::High Energy Astrophysical Phenomena - Abstract
The potential for sonic anemometer (co)sine errors to affect eddy flux measurements is investigated. Similarity theory is used to show that the standard deviation of the instantaneous angle between the wind vector and the horizontal (the angle of attack), depends on surface roughness, measurement height and atmospheric stability. Three days of data from a peat bog and a pine forest are used to test this dependency. The normalised flux-angle distributions are derived for these two sites and it is shown that for the peat bog the sonic anemometer operates outside its manufacturer's specified angle-acceptance envelope for 20% of the daytime fluxes; for the forest some 50% of the daytime fluxes were measured under these conditions. The highest values of flux-angle were observed at the peat bog site during two 30 min periods when CO
- Published
- 2003
46. Fifty years since Monteith's 1965 seminal paper: the emergence of global ecohydrology
- Author
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Dolman, A.J., Miralles, D.G., de Jeu, R.A.M., Earth and Climate, and Amsterdam Global Change Institute
- Subjects
SDG 6 - Clean Water and Sanitation - Abstract
Since Monteith published his seminal paper on evaporation and introduced the canopy resistance 50years ago, evaporation research has shown great progress, such that his contribution describing evaporation as the delicate interplay between supply, demand and control, needs a tribute. We first identify the key contributions of John Monteith to this development and then identify a new set of challenges in the field of ecohydrology made possible by his breakthrough. These relate to adequate prediction of the occurrence, frequency and severity of drought, in relation to vegetation water use and resilience, and the interplay between the carbon and water cycles. Importantly, since Monteith published his paper, development of satellite remote sensing has made it possible to generalize site level processes and to investigate vegetation, carbon and water relations at global scale. This emerging field of research, tentatively called global ecohydrology, is set to address key questions related to the resilience and vulnerability of the world's ecosystems to their changing environment. © 2014 John Wiley & Sons, Ltd.
- Published
- 2014
47. Evaluating 4 years of atmospheric ammonia (NH3) over Europe using IASI satellite observations and LOTOS-EUROS model results
- Author
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Damme, M. van, Wichink Kruit, R.J., Schaap, M., Clarisse, L., Clerbaux, C., Coheur, P.F., Dammers, E., Dolman, A.J., Erisman, J.W., Spectroscopie de l'atmosphère, Service de Chimie Quantique et Photophysique, Université libre de Bruxelles (ULB), Faculty of Earth and Life Sciences [Amsterdam] (FALW), Vrije Universiteit Amsterdam [Amsterdam] (VU), TNO Climate, Air and Sustainability [Utrecht], The Netherlands Organisation for Applied Scientific Research (TNO), TROPO - LATMOS, Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Louis Bolk Institute (LBI), Earth and Climate, and Amsterdam Global Change Institute
- Subjects
regional modeling ,IASI ,satellite remote sensing ,Earth / Environmental ,Regional model ,Ground based measurement ,CAS - Climate, Air and Sustainability ,Remote sensing ,ammonia ,Satellite observations ,Urban Development ,Ammonia ,Quantitative comparison ,[SDE]Environmental Sciences ,Satellite measurements ,NH3 ,ELSS - Earth, Life and Social Sciences ,Industrial emissions ,Built Environment ,SDG 6 - Clean Water and Sanitation ,LOTOS-EUROS ,satellite/model comparison - Abstract
Monitoring ammonia (NH3) concentrations on a global to regional scale is a challenge. Due to the limited availability of reliable ground-based measurements, the determination of NH3 distributions generally relies on model calculations. Novel remotely sensed NH3burdens provide valuable insights to complement traditional assessments for clear-sky conditions. This paper presents a first quantitative comparison between Atmospheric Sounding Interferometer (IASI) satellite observations and LOTOS-EUROS model results over Europe and Western Russia. A methodology to account for the variable retrieval sensitivity of the measurements is described. Four years of data (2008-2011) highlight three main agricultural hot spot areas in Europe: the Po Valley, the continental part of Northwestern Europe, and the Ebro Valley. The spatial comparison reveals a good overall agreement of the NH3 distributions not only in these source regions but also over remote areas and over sea when transport is observed. On average, the measured columns exceed the modeled ones, except for a few cases. Large discrepancies over several industrial areas in Eastern Europe and Russia point to underestimated emissions in the underlying inventories. The temporal analysis over the three hot spot areas reveals that the seasonality is well captured by the model when the lower sensitivity of the satellite measurements in the colder months is taken into account. Comparison of the daily time series indicates possible misrepresentations of the timing and magnitude of the emissions. Finally, specific attention to biomass burning events shows that modeled plumes are less spread out than the observed ones. This is confirmed for the 2010 Russian fires with a comparison using in situ observations. ©2014. American Geophysical Union. All Rights Reserved.
- Published
- 2014
48. Feedback Mechanisms: Land Use, Hydrology and Carbon
- Author
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Dolman, A.J., Dolman, A.J., Troch, P., Bierkens, M., and Hydrology and Geo-environmental sciences
- Published
- 2008
49. Flux Tower Sites, State of the Art, and Network Design
- Author
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Dolman, A.J., Valentini, R., Groenendijk, M., Hendriks, D.M.D., Freibauer, A. Valentini, R., Dolman, A.J., and Hydrology and Geo-environmental sciences
- Published
- 2008
50. A Roadmap for a Continental-Scale Greenhouse Gas Observing System in Europe
- Author
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Dolman, A.J., Ciais, P., Valentini, R., Schulze, E.D., Heimann, M., Freibauer, A., Freibauer, A., Valentini, R., Dolman, A.J., and Hydrology and Geo-environmental sciences
- Published
- 2008
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