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1. Quantifying Irrigation Volumes Using Sentinel-1 Soil Moisture Data in Central Italy

Author

Vergni, L., Dari, J., Todisco, F., Vizzari, M., Saltalippi, C., Venturi, S., Casadei, S., Brocca, L., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Ferro, Vito, editor, Giordano, Giuseppe, editor, Orlando, Santo, editor, Vallone, Mariangela, editor, Cascone, Giovanni, editor, and Porto, Simona M. C., editor

Published
2023
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2. Altimetry for the future: Building on 25 years of progress

Author

Abdalla, S, Abdeh Kolahchi, A, Ablain, M, Adusumilli, S, Aich Bhowmick, S, Alou-Font, E, Amarouche, L, Andersen, OB, Antich, H, Aouf, L, Arbic, B, Armitage, T, Arnault, S, Artana, C, Aulicino, G, Ayoub, N, Badulin, S, Baker, S, Banks, C, Bao, L, Barbetta, S, Barceló-Llull, B, Barlier, F, Basu, S, Bauer-Gottwein, P, Becker, M, Beckley, B, Bellefond, N, Belonenko, T, Benkiran, M, Benkouider, T, Bennartz, R, Benveniste, J, Bercher, N, Berge-Nguyen, M, Bettencourt, J, Blarel, F, Blazquez, A, Blumstein, D, Bonnefond, P, Borde, F, Bouffard, J, Boy, F, Boy, JP, Brachet, C, Brasseur, P, Braun, A, Brocca, L, Brockley, D, Brodeau, L, Brown, S, Bruinsma, S, Bulczak, A, Buzzard, S, Cahill, M, Calmant, S, Calzas, M, Camici, S, Cancet, M, Capdeville, H, Carabajal, CC, Carrere, L, Cazenave, A, Chassignet, EP, Chauhan, P, Cherchali, S, Chereskin, T, Cheymol, C, Ciani, D, Cipollini, P, Cirillo, F, Cosme, E, Coss, S, Cotroneo, Y, Cotton, D, Couhert, A, Coutin-Faye, S, Crétaux, JF, Cyr, F, d'Ovidio, F, Darrozes, J, David, C, Dayoub, N, De Staerke, D, Deng, X, Desai, S, Desjonqueres, JD, Dettmering, D, Di Bella, A, Díaz-Barroso, L, Dibarboure, G, Dieng, HB, Dinardo, S, Dobslaw, H, Dodet, G, Doglioli, A, Domeneghetti, A, Donahue, D, Dong, S, and Donlon, C

Subjects
Satellite altimetry, Oceanography, Sea level, Coastal oceanography, Cryospheric sciences, Hydrology, Astronomical and Space Sciences, Aerospace Engineering, Mechanical Engineering, Aerospace & Aeronautics
Abstract

In 2018 we celebrated 25 years of development of radar altimetry, and the progress achieved by this methodology in the fields of global and coastal oceanography, hydrology, geodesy and cryospheric sciences. Many symbolic major events have celebrated these developments, e.g., in Venice, Italy, the 15th (2006) and 20th (2012) years of progress and more recently, in 2018, in Ponta Delgada, Portugal, 25 Years of Progress in Radar Altimetry. On this latter occasion it was decided to collect contributions of scientists, engineers and managers involved in the worldwide altimetry community to depict the state of altimetry and propose recommendations for the altimetry of the future. This paper summarizes contributions and recommendations that were collected and provides guidance for future mission design, research activities, and sustainable operational radar altimetry data exploitation. Recommendations provided are fundamental for optimizing further scientific and operational advances of oceanographic observations by altimetry, including requirements for spatial and temporal resolution of altimetric measurements, their accuracy and continuity. There are also new challenges and new openings mentioned in the paper that are particularly crucial for observations at higher latitudes, for coastal oceanography, for cryospheric studies and for hydrology. The paper starts with a general introduction followed by a section on Earth System Science including Ocean Dynamics, Sea Level, the Coastal Ocean, Hydrology, the Cryosphere and Polar Oceans and the “Green” Ocean, extending the frontier from biogeochemistry to marine ecology. Applications are described in a subsequent section, which covers Operational Oceanography, Weather, Hurricane Wave and Wind Forecasting, Climate projection. Instruments’ development and satellite missions’ evolutions are described in a fourth section. A fifth section covers the key observations that altimeters provide and their potential complements, from other Earth observation measurements to in situ data. Section 6 identifies the data and methods and provides some accuracy and resolution requirements for the wet tropospheric correction, the orbit and other geodetic requirements, the Mean Sea Surface, Geoid and Mean Dynamic Topography, Calibration and Validation, data accuracy, data access and handling (including the DUACS system). Section 7 brings a transversal view on scales, integration, artificial intelligence, and capacity building (education and training). Section 8 reviews the programmatic issues followed by a conclusion.

Published
2021

6. Irrigation Quantification Through Backscatter Data Assimilation With a Buddy Check Approach.

Author

Busschaert, L., Bechtold, M., Modanesi, S., Massari, C., Brocca, L., and De Lannoy, G. J. M.

Subjects
BACKSCATTERING, IRRIGATION, TEMPERATE climate, HYDROLOGIC cycle, OUTLIER detection
Abstract

Irrigation is an important component of the terrestrial water cycle, but it is often poorly accounted for in models. Recent studies have attempted to integrate satellite data and land surface models via data assimilation (DA) to (a) detect and quantify irrigation, and (b) better estimate the related land surface variables such as soil moisture, vegetation, and evapotranspiration. In this study, different synthetic DA experiments are tested to advance satellite DA for the estimation of irrigation. We assimilate synthetic Sentinel‐1 backscatter observations into the Noah‐MP model coupled with an irrigation scheme. When updating soil moisture, we found that the DA sets better initial conditions to trigger irrigation in the model. However, DA updates to wetter conditions can inhibit irrigation simulation. Building on this limitation, we propose an improved DA algorithm using a buddy check approach. The method still updates the land surface, but now the irrigation trigger is not primarily based on the evolution of soil moisture, but on an adaptive innovation (observation minus forecast) outlier detection. The new method was found to be optimal for more temperate climates where irrigation events are less frequent and characterized by higher application rates. It was found that the DA outperforms the model‐only 14‐day irrigation estimates by about 20% in terms of root‐mean‐squared differences, when frequent (daily or every other day) observations are available. With fewer observations or high levels of noise, the system strongly underestimates the irrigation amounts. The method is flexible and can be expanded to other DA systems, also real‐world cases. Plain Language Summary: Irrigation has an important impact on the terrestrial water cycle. However, it remains poorly simulated by models and it is hard to quantify through satellite observations alone. The combination of models and satellite observations to detect and quantify irrigation has been explored in the last few years. Recently, Sentinel‐1 radar (microwave) observations have been assimilated into the Noah‐MP land surface model in order to quantify irrigation, and better estimate the related land surface variables, such as soil moisture and vegetation. This system has shown benefits but also limitations, which are highlighted and addressed in our study using synthetic experiments. We propose an improved data assimilation algorithm and test it for different sites and levels of model and observation error. For temperate regions, the new method estimates irrigation more accurately (20%) than the model alone, provided that frequent (daily or every other day) observations are available. With further developments, the new methodology could be used in a real‐world experiment. Key Points: Model‐driven irrigation estimation has limitations, also when based on improved soil moisture conditions obtained via data assimilationA new method based on an adaptive outlier detection improves the estimated irrigation in a synthetic backscatter data assimilation setupThe method performs best with frequent data assimilation in a temperate climate, reducing irrigation errors by 20% [ABSTRACT FROM AUTHOR]

Published
2024
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24. List of Contributors

Author

Akbar, R., primary, Al Bitar, A., additional, Anagnostopoulos, V., additional, Barrett, B., additional, Berg, A., additional, Berni, N., additional, Brocca, L., additional, Chaparro, D., additional, Ciabatta, L., additional, Dai, Q., additional, Das, N., additional, De Witte, E., additional, Dwyer, E., additional, Entekhabi, D., additional, Gerard, F., additional, Ghilain, N., additional, Griffiths, H., additional, Gruber, A., additional, Gupta, D.K., additional, Gupta, M., additional, Han, D., additional, Hodges, C., additional, Holzman, M., additional, Ireland, G., additional, Islam, T., additional, Jiménez-Muñoz, J.C., additional, Kalivas, D., additional, Kerr, Y.H., additional, Mattar, C., additional, Mialon, A., additional, Mironov, V., additional, Moghaddam, M., additional, Moramarco, T., additional, Muñoz-Sabater, J., additional, Pandey, V., additional, Petrie, A., additional, Petropoulos, G.P., additional, Piles, M., additional, Ponziani, F., additional, Prasad, R., additional, Pratola, C., additional, Rahimzadeh-Bajgiran, P., additional, Rivas, R., additional, Santamaría-Artigas, A., additional, Savin, I., additional, Singh, S.K., additional, Sánchez, N., additional, Sobrino, J.A., additional, Srivastava, P.K., additional, Suman, S., additional, Tebbs, E., additional, Vall-llossera, M., additional, Wagner, W., additional, Wan Jaafar, W.Z., additional, Wigneron, J.-P., additional, and Zhuo, L., additional

Published
2016
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31. Performance evaluation of long ndvi timeseries from avhrr, modis and landsat sensors over landslide-prone locations in qinghai-tibetan plateau

Author

Sajadi, P, Sang, YF, Gholamnia, M, Bonafoni, S, Brocca, L, Pradhan, B, Singh, A, Sajadi, P, Sang, YF, Gholamnia, M, Bonafoni, S, Brocca, L, Pradhan, B, and Singh, A

Abstract

The existence of several NDVI products in Qinghai-Tibetan Plateau (QTP) makes it challenging to identify the ideal sensor for vegetation monitoring as an important factor for landslide detection studies. A pixel-based analysis of the NDVI time series was carried out to compare the performances of five NDVI products, including ETM+, OLI, MODIS Series, and AVHRR sensors in QTP. Harmonic analysis of time series and wavelet threshold denoising were used for reconstruction and denoising of the five NDVI datasets. Each sensor performance was assessed based on the behavioral similarity between the original and denoised NDVI time series, considering the preservation of the original shape and time series values by computing correlation coefficient (CC), mean absolute error (MAE), root mean square error (RMSE), and signal to noise ratio (SNR). Results indicated that the OLI slightly outperformed the other sensors in all performance metrics, especially in mosaic natural vegetation, grassland, and cropland, providing 0.973, 0.015, 0.022, and 27.220 in CC, MAE, RMSE, and SNR, respectively. AVHRR showed similar results to OLI, with the best results in the predominant type of land covers (needle-leaved, evergreen, closed to open). The MODIS series performs lower across all vegetation classes than the other sensors, which might be related to the higher number of artifacts observed in the original data. In addition to the satellite sensor comparison, the proposed analysis demonstrated the effectiveness and reliability of the implemented methodology for reconstructing and denoising different NDVI time series, indicating its suitability for long-term trend analysis of different natural land cover classes, vegetation monitoring, and change detection.

Published
2021

32. Unshielded magnetocardiography contributes to non-invasively rule-out ischemic heart disease in patients with chest pain of uncertain origin

Author

Brisinda, Donatella, Fioravanti, F, Guida, Gl, La Brocca, L, Sorbo, Anna Rita, Fenici, Riccardo, Brisinda D (ORCID:0000-0002-9803-0093), Sorbo AR, Fenici R (ORCID:0000-0002-4664-2653), Brisinda, Donatella, Fioravanti, F, Guida, Gl, La Brocca, L, Sorbo, Anna Rita, Fenici, Riccardo, Brisinda D (ORCID:0000-0002-9803-0093), Sorbo AR, and Fenici R (ORCID:0000-0002-4664-2653)

Abstract

s Book of European Congress of cardiology in EHJ

Published
2021

33. A roadmap for high-resolution satellite soil moisture applications – confronting product characteristics with user requirements

Author

Peng, Jian, Albergel, C., Balenzano, A., Brocca, L., Cartus, O., Cosh, M.H., Crow, W.T., Dabrowska-Zielinska, K., Dadson, S., Davidson, M.W.J., de Rosnay, P., Dorigo, W., Gruber, A., Hagemann, S., Hirschi, M., Kerr, Y.H., Lovergine, F., Mahecha, Miguel Dario, Marzahn, P., Mattia, F., Musial, J.P., Preuschmann, S., Reichle, R.H., Satalino, G., Silgram, M., van Bodegom, P.M., Verhoest, N.E.C., Wagner, W., Walker, J.P., Wegmüller, U., Loew, A., Peng, Jian, Albergel, C., Balenzano, A., Brocca, L., Cartus, O., Cosh, M.H., Crow, W.T., Dabrowska-Zielinska, K., Dadson, S., Davidson, M.W.J., de Rosnay, P., Dorigo, W., Gruber, A., Hagemann, S., Hirschi, M., Kerr, Y.H., Lovergine, F., Mahecha, Miguel Dario, Marzahn, P., Mattia, F., Musial, J.P., Preuschmann, S., Reichle, R.H., Satalino, G., Silgram, M., van Bodegom, P.M., Verhoest, N.E.C., Wagner, W., Walker, J.P., Wegmüller, U., and Loew, A.

Abstract

Soil moisture observations are of broad scientific interest and practical value for a wide range of applications. The scientific community has made significant progress in estimating soil moisture from satellite-based Earth observation data, particularly in operationalizing coarse-resolution (25-50 km) soil moisture products. This review summarizes existing applications of satellite-derived soil moisture products and identifies gaps between the characteristics of currently available soil moisture products and the application requirements from various disciplines. We discuss the efforts devoted to the generation of high-resolution soil moisture products from satellite Synthetic Aperture Radar (SAR) data such as Sentinel-1 C-band backscatter observations and/or through downscaling of existing coarse-resolution microwave soil moisture products. Open issues and future opportunities of satellite-derived soil moisture are discussed, providing guidance for further development of operational soil moisture products and bridging the gap between the soil moisture user and supplier communities.

Published
2020

38. Sarcolab pilot study into skeletal muscle's adaptation to long-term spaceflight

Author

Rittweger J, Albracht K, Flück M, Ruoss S, Brocca L, Longa E, Moriggi M, Seynnes O, Di Giulio I, Tenori L, Vignoli A, Capri M, Gelfi C, Luchinat C, Franceschi C, Bottinelli R, Cerretelli P, Narici M., and Rittweger J, Albracht K, Flück M, Ruoss S, Brocca L, Longa E, Moriggi M, Seynnes O, Di Giulio I, Tenori L, Vignoli A, Capri M, Gelfi C, Luchinat C, Franceschi C, Bottinelli R, Cerretelli P, Narici M.

Subjects
skeletal-muscle, Spaceflight
Abstract

Spaceflight causes muscle wasting. The Sarcolab pilot study investigated two astronauts with regards to plantar flexor muscle size, architecture, and function, and to the underlying molecular adaptations in order to further the understanding of muscular responses to spaceflight and exercise countermeasures. Two crew members (A and B) spent 6 months in space. Crew member A trained less vigorously than B. Postflight, A showed substantial decrements in plantar flexor volume, muscle architecture, in strength and in fiber contractility, which was strongly mitigated in B. The difference between these crew members closely reflected FAK-Y397 abundance, a molecular marker of muscle's loading history. Moreover, crew member A showed downregulation of contractile proteins and enzymes of anaerobic metabolism, as well as of systemic markers of energy and protein metabolism. However, both crew members exhibited decrements in muscular aerobic metabolism and phosphate high energy transfer. We conclude that countermeasures can be effective, particularly when resistive forces are of sufficient magnitude. However, to fully prevent space-related muscular deterioration, intersubject variability must be understood, and intensive exercise countermeasures programs seem mandatory. Finally, proteomic and metabolomic analyses suggest that exercise benefits in space may go beyond mere maintenance of muscle mass, but rather extend to the level of organismic metabolism.

Published
2018

39. Understanding the global hydrological droughts of 2003–2016 and their relationships with teleconnections

Author

Forootan, E., Khaki, M., Schumacher, M., Wulfmeyer, V., Mehrnegar, N., van Dijk, A. I.J.M., Brocca, L., Farzaneh, S., Akinluyi, F., Ramillien, G., Shum, C. K., Awange, J., Mostafaie, A., Stéroïdes et système nerveux : physiopathologie moléculaire et clinique, Institut National de la Santé et de la Recherche Médicale (INSERM), Institut für Physik und Meteorologie [Stuttgart] (IPM), Universität Hohenheim, National Research Council, IRPI, P4Tech (P4Tech), Géosciences Environnement Toulouse (GET), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), and School of Earth Sciences, Ohio State University

Subjects
Environmental Engineering, 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, Drainage basin, 010501 environmental sciences, 01 natural sciences, Global droughts, Sea Surface Temperature (SST), Evapotranspiration, Environmental Chemistry, Precipitation, Waste Management and Disposal, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, GRACE Terrestrial Water Storage (TWS), geography, geography.geographical_feature_category, Water storage, 15. Life on land, Pollution, Drought hot spots, Canonical Correlation Analysis (CCA), Sea surface temperature, 13. Climate action, North Atlantic oscillation, Climatology, Teleconnections, [SDE]Environmental Sciences, Environmental science, Indian Ocean Dipole, Teleconnection
Abstract

Droughts often evolve gradually and cover large areas, and therefore, affect many people and activities. This motivates developing techniques to integrate different satellite observations, to cover large areas, and understand spatial and temporal variability of droughts. In this study, we apply probabilistic techniques to generate satellite derived meteorological, hydrological, and hydro-meteorological drought indices for the world's 156 major river basins covering 2003–2016. The data includes Terrestrial Water Storage (TWS) estimates from the Gravity Recovery And Climate Experiment (GRACE) mission, along with soil moisture, precipitation, and evapotranspiration reanalysis. Different drought characteristics of trends, occurrences, areal-extent, and frequencies corresponding to 3-, 6-, 12-, and 24-month timescales are extracted from these indices. Drought evolution within selected basins of Africa, America, and Asia is interpreted. Canonical Correlation Analysis (CCA) is then applied to find the relationship between global hydro-meteorological droughts and satellite derived Sea Surface Temperature (SST) changes. This relationship is then used to extract regions, where droughts and teleconnections are strongly interrelated. Our numerical results indicate that the 3- to 6-month hydrological droughts occur more frequently than the other timescales. Longer memory of water storage changes (than water fluxes) has found to be the reason of detecting extended hydrological droughts in regions such as the Middle East and Northern Africa. Through CCA, we show that the El Niño Southern Oscillation (ENSO) has major impact on the magnitude and evolution of hydrological droughts in regions such as the northern parts of Asia and most parts of the Australian continent between 2006 and 2011, as well as droughts in the Amazon basin, South Asia, and North Africa between 2010 and 2012. The Indian ocean Dipole (IOD) and North Atlantic Oscillation (NAO) are found to have regional influence on the evolution of hydrological droughts.

Published
2019

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

Author

Blöschl, G., Bierkens, M. F. P., Chambel, A., Cudennec, C., Destouni, G., Fiori, A., Kirchner, J. W., McDonnell, J. J., Savenije, H. H. G., Sivapalan, M., Stumpp, C., Toth, E., Volpi, E., Carr, G., Lupton, C., Salinas, J., Széles, B., Viglione, A., Aksoy, H., Allen, S. T., Amin, A., Andréassian, V., Arheimer, B., Aryal, S. K., Baker, V., Bardsley, E., Barendrecht, M. H., Bartosova, A., Batelaan, O., Berghuijs, W. R., Beven, K., Blume, T., Bogaard, T., Borges de Amorim, P., Böttcher, M. E., Boulet, G., Breinl, K., Brilly, M., Brocca, L., Buytaert, W., Castellarin, A., Castelletti, A., Chen, X., Chen, Y., Chifflard, P., Claps, P., Clark, M. P., Collins, A. L., Croke, B., Dathe, A., David, P. C., de Barros, F. P. J., de Rooij, G., Di Baldassarre, G., Driscoll, J. M., Duethmann, D., Dwivedi, R., Eris, E., Farmer, W. H., Feiccabrino, J., Ferguson, G., Ferrari, E., Ferraris, S., Fersch, B., Finger, D., Foglia, L., Fowler, K., Gartsman, B., Gascoin, S., Gaume, E., Gelfan, A., Geris, J., Gharari, S., Gleeson, T., Glendell, M., Gonzalez Bevacqua, A., González-Dugo, M. P., Grimaldi, S., Gupta, A. B., Guse, B., Han, D., Hannah, D., Harpold, A., Haun, S., Heal, K., Helfricht, K., Herrnegger, M., Hipsey, M., Hlaváčiková, H., Hohmann, C., Holko, L., Hopkinson, C., Hrachowitz, M., Illangasekare, T. H., Inam, A., Innocente, C., Istanbulluoglu, E., Jarihani, B., Kalantari, Z., Kalvans, A., Khanal, S., Khatami, S., Kiesel, J., Kirkby, M., Knoben, W., Kochanek, K., Kohnová, S., Kolechkina, A., Krause, S., Kreamer, D., Kreibich, H., Kunstmann, H., Lange, H., Liberato, M. L. R., Lindquist, E., Link, T., Liu, J., Loucks, D. P., Luce, C., Mahé, G., Makarieva, O., Malard, J., Mashtayeva, S., Maskey, S., Mas-Pla, J., Mavrova-Guirguinova, M., Mazzoleni, M., Mernild, S., Misstear, B. D., Montanari, A., Müller-Thomy, H., Nabizadeh, A., Nardi, F., Neale, C., Nesterova, N., Nurtaev, B., Odongo, V. O., Panda, S., Pande, S., Pang, Z., Papacharalampous, G., Perrin, C., Pfister, L., Pimentel, R., Polo, M. J., Post, D., Prieto Sierra, C., Ramos, M. -H, Renner, M., Reynolds, J. E., Ridolfi, E., Rigon, R., Riva, M., Robertson, D. E., Rosso, R., Roy, T., Sá, J.H.M., Salvadori, G., Sandells, M., Schaefli, B., Schumann, A., Scolobig, A., Seibert, J., Servat, E., Shafiei, M., Sharma, A., Sidibe, M., Sidle, R. C., Skaugen, T., Smith, H., Spiessl, S. M., Stein, L., Steinsland, I., Strasser, U., Su, B., Szolgay, J., Tarboton, D., Tauro, F., Thirel, G., Tian, F., Tong, R., Tussupova, K., Tyralis, H., Uijlenhoet, R., van Beek, R., van der Ent, R. J., van der Ploeg, M., Van Loon, A. F., van Meerveld, I., van Nooijen, R., van Oel, P. R., Vidal, J. -P, von Freyberg, J., Vorogushyn, S., Wachniew, P., Wade, A. J., Ward, P., Westerberg, I. K., White, C., Wood, E. F., Woods, R., Xu, Z., Yilmaz, K. K., Zhang, Y., Blöschl, G., Bierkens, M. F. P., Chambel, A., Cudennec, C., Destouni, G., Fiori, A., Kirchner, J. W., McDonnell, J. J., Savenije, H. H. G., Sivapalan, M., Stumpp, C., Toth, E., Volpi, E., Carr, G., Lupton, C., Salinas, J., Széles, B., Viglione, A., Aksoy, H., Allen, S. T., Amin, A., Andréassian, V., Arheimer, B., Aryal, S. K., Baker, V., Bardsley, E., Barendrecht, M. H., Bartosova, A., Batelaan, O., Berghuijs, W. R., Beven, K., Blume, T., Bogaard, T., Borges de Amorim, P., Böttcher, M. E., Boulet, G., Breinl, K., Brilly, M., Brocca, L., Buytaert, W., Castellarin, A., Castelletti, A., Chen, X., Chen, Y., Chifflard, P., Claps, P., Clark, M. P., Collins, A. L., Croke, B., Dathe, A., David, P. C., de Barros, F. P. J., de Rooij, G., Di Baldassarre, G., Driscoll, J. M., Duethmann, D., Dwivedi, R., Eris, E., Farmer, W. H., Feiccabrino, J., Ferguson, G., Ferrari, E., Ferraris, S., Fersch, B., Finger, D., Foglia, L., Fowler, K., Gartsman, B., Gascoin, S., Gaume, E., Gelfan, A., Geris, J., Gharari, S., Gleeson, T., Glendell, M., Gonzalez Bevacqua, A., González-Dugo, M. P., Grimaldi, S., Gupta, A. B., Guse, B., Han, D., Hannah, D., Harpold, A., Haun, S., Heal, K., Helfricht, K., Herrnegger, M., Hipsey, M., Hlaváčiková, H., Hohmann, C., Holko, L., Hopkinson, C., Hrachowitz, M., Illangasekare, T. H., Inam, A., Innocente, C., Istanbulluoglu, E., Jarihani, B., Kalantari, Z., Kalvans, A., Khanal, S., Khatami, S., Kiesel, J., Kirkby, M., Knoben, W., Kochanek, K., Kohnová, S., Kolechkina, A., Krause, S., Kreamer, D., Kreibich, H., Kunstmann, H., Lange, H., Liberato, M. L. R., Lindquist, E., Link, T., Liu, J., Loucks, D. P., Luce, C., Mahé, G., Makarieva, O., Malard, J., Mashtayeva, S., Maskey, S., Mas-Pla, J., Mavrova-Guirguinova, M., Mazzoleni, M., Mernild, S., Misstear, B. D., Montanari, A., Müller-Thomy, H., Nabizadeh, A., Nardi, F., Neale, C., Nesterova, N., Nurtaev, B., Odongo, V. O., Panda, S., Pande, S., Pang, Z., Papacharalampous, G., Perrin, C., Pfister, L., Pimentel, R., Polo, M. J., Post, D., Prieto Sierra, C., Ramos, M. -H, Renner, M., Reynolds, J. E., Ridolfi, E., Rigon, R., Riva, M., Robertson, D. E., Rosso, R., Roy, T., Sá, J.H.M., Salvadori, G., Sandells, M., Schaefli, B., Schumann, A., Scolobig, A., Seibert, J., Servat, E., Shafiei, M., Sharma, A., Sidibe, M., Sidle, R. C., Skaugen, T., Smith, H., Spiessl, S. M., Stein, L., Steinsland, I., Strasser, U., Su, B., Szolgay, J., Tarboton, D., Tauro, F., Thirel, G., Tian, F., Tong, R., Tussupova, K., Tyralis, H., Uijlenhoet, R., van Beek, R., van der Ent, R. J., van der Ploeg, M., Van Loon, A. F., van Meerveld, I., van Nooijen, R., van Oel, P. R., Vidal, J. -P, von Freyberg, J., Vorogushyn, S., Wachniew, P., Wade, A. J., Ward, P., Westerberg, I. K., White, C., Wood, E. F., Woods, R., Xu, Z., Yilmaz, K. K., and Zhang, Y.

Abstract

QC 20210112

Published
2019
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41. Twenty-three unsolved problems in hydrology (UPH)–a community perspective

Author

Blöschl, G. Bierkens, M. F. P. Chambel, A. Cudennec, C. Destouni, G. Fiori, A. Kirchner, J. W. McDonnell, J. J. Savenije, H. H. G. Sivapalan, M. Stumpp, C. Toth, E. Volpi, E. Carr, G. Lupton, C. Salinas, J. Széles, B. Viglione, A. Aksoy, H. Allen, S. T. Amin, A. Andréassian, V. Arheimer, B. Aryal, S. K. Baker, V. Bardsley, E. Barendrecht, M. H. Bartosova, A. Batelaan, O. Berghuijs, W. R. Beven, K. Blume, T. Bogaard, T. Borges de Amorim, P. Böttcher, M. E. Boulet, G. Breinl, K. Brilly, M. Brocca, L. Buytaert, W. Castellarin, A. Castelletti, A. Chen, X. Chen, Y. Chen, Y. Chifflard, P. Claps, P. Clark, M. P. Collins, A. L. Croke, B. Dathe, A. David, P. C. de Barros, F. P. J. de Rooij, G. Di Baldassarre, G. Driscoll, J. M. Duethmann, D. Dwivedi, R. Eris, E. Farmer, W. H. Feiccabrino, J. Ferguson, G. Ferrari, E. Ferraris, S. Fersch, B. Finger, D. Foglia, L. Fowler, K. Gartsman, B. Gascoin, S. Gaume, E. Gelfan, A. Geris, J. Gharari, S. Gleeson, T. Glendell, M. Gonzalez Bevacqua, A. González-Dugo, M. P. Grimaldi, S. Gupta, A. B. Guse, B. Han, D. Hannah, D. Harpold, A. Haun, S. Heal, K. Helfricht, K. Herrnegger, M. Hipsey, M. Hlaváčiková, H. Hohmann, C. Holko, L. Hopkinson, C. Hrachowitz, M. Illangasekare, T. H. Inam, A. Innocente, C. Istanbulluoglu, E. Jarihani, B. Kalantari, Z. Kalvans, A. Khanal, S. Khatami, S. Kiesel, J. Kirkby, M. Knoben, W. Kochanek, K. Kohnová, S. Kolechkina, A. Krause, S. Kreamer, D. Kreibich, H. Kunstmann, H. Lange, H. Liberato, M. L. R. Lindquist, E. Link, T. Liu, J. Loucks, D. P. Luce, C. Mahé, G. Makarieva, O. Malard, J. Mashtayeva, S. Maskey, S. Mas-Pla, J. Mavrova-Guirguinova, M. Mazzoleni, M. Mernild, S. Misstear, B. D. Montanari, A. Müller-Thomy, H. Nabizadeh, A. Nardi, F. Neale, C. Nesterova, N. Nurtaev, B. Odongo, V. O. Panda, S. Pande, S. Pang, Z. Papacharalampous, G. Perrin, C. Pfister, L. Pimentel, R. Polo, M. J. Post, D. Prieto Sierra, C. Ramos, M. H. Renner, M. Reynolds, J. E. Ridolfi, E. Rigon, R. Riva, M. Robertson, D. E. Rosso, R. and Blöschl, G. Bierkens, M. F. P. Chambel, A. Cudennec, C. Destouni, G. Fiori, A. Kirchner, J. W. McDonnell, J. J. Savenije, H. H. G. Sivapalan, M. Stumpp, C. Toth, E. Volpi, E. Carr, G. Lupton, C. Salinas, J. Széles, B. Viglione, A. Aksoy, H. Allen, S. T. Amin, A. Andréassian, V. Arheimer, B. Aryal, S. K. Baker, V. Bardsley, E. Barendrecht, M. H. Bartosova, A. Batelaan, O. Berghuijs, W. R. Beven, K. Blume, T. Bogaard, T. Borges de Amorim, P. Böttcher, M. E. Boulet, G. Breinl, K. Brilly, M. Brocca, L. Buytaert, W. Castellarin, A. Castelletti, A. Chen, X. Chen, Y. Chen, Y. Chifflard, P. Claps, P. Clark, M. P. Collins, A. L. Croke, B. Dathe, A. David, P. C. de Barros, F. P. J. de Rooij, G. Di Baldassarre, G. Driscoll, J. M. Duethmann, D. Dwivedi, R. Eris, E. Farmer, W. H. Feiccabrino, J. Ferguson, G. Ferrari, E. Ferraris, S. Fersch, B. Finger, D. Foglia, L. Fowler, K. Gartsman, B. Gascoin, S. Gaume, E. Gelfan, A. Geris, J. Gharari, S. Gleeson, T. Glendell, M. Gonzalez Bevacqua, A. González-Dugo, M. P. Grimaldi, S. Gupta, A. B. Guse, B. Han, D. Hannah, D. Harpold, A. Haun, S. Heal, K. Helfricht, K. Herrnegger, M. Hipsey, M. Hlaváčiková, H. Hohmann, C. Holko, L. Hopkinson, C. Hrachowitz, M. Illangasekare, T. H. Inam, A. Innocente, C. Istanbulluoglu, E. Jarihani, B. Kalantari, Z. Kalvans, A. Khanal, S. Khatami, S. Kiesel, J. Kirkby, M. Knoben, W. Kochanek, K. Kohnová, S. Kolechkina, A. Krause, S. Kreamer, D. Kreibich, H. Kunstmann, H. Lange, H. Liberato, M. L. R. Lindquist, E. Link, T. Liu, J. Loucks, D. P. Luce, C. Mahé, G. Makarieva, O. Malard, J. Mashtayeva, S. Maskey, S. Mas-Pla, J. Mavrova-Guirguinova, M. Mazzoleni, M. Mernild, S. Misstear, B. D. Montanari, A. Müller-Thomy, H. Nabizadeh, A. Nardi, F. Neale, C. Nesterova, N. Nurtaev, B. Odongo, V. O. Panda, S. Pande, S. Pang, Z. Papacharalampous, G. Perrin, C. Pfister, L. Pimentel, R. Polo, M. J. Post, D. Prieto Sierra, C. Ramos, M. H. Renner, M. Reynolds, J. E. Ridolfi, E. Rigon, R. Riva, M. Robertson, D. E. Rosso, R.

Abstract

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

Published
2019
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48. IMPIEGO DEL CONTENUTO IDRICO DEL SUOLO E DEL DEFLUSSO SUPERFICIALE PER LA STIMA DELLA PERDITA DI SUOLO PARCELLARE A SCALA DI EVENTO

Author

Todisco, F., Vergni, L., Mannocchi, F., Termite, L., Bagarello, V., Ferro, V., Pampalone, V., Brocca, L., Massari, C., Todisco, F, Vergni, L, Mannocchi, F, Termite, L, Bagarello, V, Ferro, V, Pampalone, V, Brocca, L, and Massari, C

Subjects
remote sensing, soil erosion, modelli idrologici, deflusso parcellare, Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali, runoff, contenuto idrico del suolo, soil moisture, perdita di suolo parcellare, soil erosion, runoff, soil moisture, remote sensing
Abstract

Nel presente lavoro viene valutata la potenzialità di accoppiare la USLE con il contenuto d’acqua del suolo pre-evento o il deflusso stimato, per migliorare l’accuratezza della stima della perdita di suolo a scala di singolo evento erosivo. A tale scopo sono stati utilizzati due approcci per i quali la perdita di suolo e il fattore di erosività sono legati da una legge di potenza. Il primo è il modello USLE-MM con deflusso stimato da un modello afflussi deflussi, SCRRM, che importa dati di contenuto d’acqua. Il secondo approccio è quello del modello SM4E che utilizza i dati di contenuto d’acqua pre-evento per correggere il fattore di erosività della pioggia. I due modelli sono stati testati usando le misure effettuate sulle parcelle di 22 m realizzate alle stazioni sperimentali di Masse e Sparacia. I risultati mostrano che la USLE-MM, che impiega misure di deflusso, conduce alle migliori stime della perdita di suolo. In atto, la simulazione del deflusso o l’uso del contenuto idrico del suolo conducono a una performance del modello peggiore di quella riscontrabile con la USLE originaria. Ulteriori indagini dovranno essere effettuate per migliorare la previsione del deflusso a scala di parcella, facendo anche ricorso a un database di misure più esteso.

Published
2016

49. Magnetocardiographic classification and non-invasive electro-anatomical imaging of outflow tract ventricular arrhythmias in recreational sport activity practitioners

Author

Lombardi, G, Sorbo, Anna Rita, Guida, Maria Grazia, La Brocca, L, Fenici, Riccardo, Brisinda, Donatella, Sorbo AR, Guida G, Fenici R (ORCID:0000-0002-4664-2653), Brisinda D (ORCID:0000-0002-9803-0093), Lombardi, G, Sorbo, Anna Rita, Guida, Maria Grazia, La Brocca, L, Fenici, Riccardo, Brisinda, Donatella, Sorbo AR, Guida G, Fenici R (ORCID:0000-0002-4664-2653), and Brisinda D (ORCID:0000-0002-9803-0093)

Abstract

Ventricular arrhythmias (VAs) with left bundle-branch-block and inferior axis morphology (LBBB-IA), suggestive of outflow tract (OT) origin, are a challenge in sports medicine because they can be benign or expression of a silent cardiomyopathy. Non-invasive classification is essential to plan ablation strategy if required. We aimed to evaluating magnetocardiographic (MCG) discrimination of OT-VAs site of origin (SoO). MCG and ECG data of 26 sports activity practitioners, with OT-VAs were analyzed. OT-VAs-SoO was classified with discriminant analysis (DA) of 8 MCG parameters and with invasively-validated ECG algorithms. MCG inverse source-localization merged with magnetic resonance (CMR) provided three-dimensional electro-anatomical imaging (MCG 3D-EAI). ECG classification was univocal in 73%. MCG-DA differentiated right ventricular OT from aortic sinus cusp VAs, with 94.7% accuracy. MCG 3D-EAI confirmed OT-VAs-SoO in CMR images. In cases undergoing ablation, MCG 3D-EAI was confirmed by CARTO 3D-EAI. MCG-DA improves non-invasive classification of OT-VAs-SoO. Further comparison with interventional results is required.

Published
2018

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