Development and analysis of the Soil Water Infiltration Global database

Autor: M. Rahmati, L. Weihermüller, J. Vanderborght, Y. A. Pachepsky, L. Mao, S. H. Sadeghi, N. Moosavi, H. Kheirfam, C. Montzka, K. Van Looy, B. Toth, Z. Hazbavi, W. Al Yamani, A. A. Albalasmeh, M. Z. Alghzawi, R. Angulo-Jaramillo, A. C. D. Antonino, G. Arampatzis, R. A. Armindo, H. Asadi, Y. Bamutaze, J. Batlle-Aguilar, B. Béchet, F. Becker, G. Blöschl, K. Bohne, I. Braud, C. Castellano, A. Cerdà, M. Chalhoub, R. Cichota, M. Císlerová, B. Clothier, Y. Coquet, W. Cornelis, C. Corradini, A. P. Coutinho, M. B. de Oliveira, J. R. de Macedo, M. F. Durães, H. Emami, I. Eskandari, A. Farajnia, A. Flammini, N. Fodor, M. Gharaibeh, M. H. Ghavimipanah, T. A. Ghezzehei, S. Giertz, E. G. Hatzigiannakis, R. Horn, J. J. Jiménez, D. Jacques, S. D. Keesstra, H. Kelishadi, M. Kiani-Harchegani, M. Kouselou, M. Kumar Jha, L. Lassabatere, X. Li, M. A. Liebig, L. Lichner, M. V. López, D. Machiwal, D. Mallants, M. S. Mallmann, J. D. de Oliveira Marques, M. R. Marshall, J. Mertens, F. Meunier, M. H. Mohammadi, B. P. Mohanty, M. Pulido-Moncada, S. Montenegro, R. Morbidelli, D. Moret-Fernández, A. A. Moosavi, M. R. Mosaddeghi, S. B. Mousavi, H. Mozaffari, K. Nabiollahi, M. R. Neyshabouri, M. V. Ottoni, T. B. Ottoni Filho, M. R. Pahlavan-Rad, A. Panagopoulos, S. Peth, P.-E. Peyneau, T. Picciafuoco, J. Poesen, M. Pulido, D. J. Reinert, S. Reinsch, M. Rezaei, F. P. Roberts, D. Robinson, J. Rodrigo-Comino, O. C. Rotunno Filho, T. Saito, H. Suganuma, C. Saltalippi, R. Sándor, B. Schütt, M. Seeger, N. Sepehrnia, E. Sharifi Moghaddam, M. Shukla, S. Shutaro, R. Sorando, A. A. Stanley, P. Strauss, Z. Su, R. Taghizadeh-Mehrjardi, E. Taguas, W. G. Teixeira, A. R. Vaezi, M. Vafakhah, T. Vogel, I. Vogeler, J. Votrubova, S. Werner, T. Winarski, D. Yilmaz, M. H. Young, S. Zacharias, Y. Zeng, Y. Zhao, H. Zhao, H. Vereecken

Publikováno v: Earth System Science Data, Vol 10, Pp 1237-1263 (2018)

In this paper, we present and analyze a novel global database of soil infiltration measurements, the Soil Water Infiltration Global (SWIG) database. In total, 5023 infiltration curves were collected across all continents in the SWIG database. Thes

Externí odkaz: https://doaj.org/article/9f4b28dc6d4740a49331b641f176445f

Numerical simulations of precipitation and streamflow in current climate and future projections to drainage areas of Brazilian hydroelectric plants

Autor: Mep Maceira, O. C. Rotunno Filho, W. Luiz Silva

Publikováno v: Climate Research. 79:219-241

Hydroelectric sources are a major contributor to power generation in Brazil. The constant evaluation of climate change impacts is relevant for guiding Brazilian energy policy. This research presents a methodological framework composed of the calibrat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0fd90e59fc3185631c0b6744d8522ae
https://doi.org/10.3354/cr01589

Water level dynamics of Amazon wetlands at the watershed scale by satellite altimetry

Autor: O. C. Rotunno, Emmanuel Roux, A. A. M. Araujo, Stéphane Calmant, J.S. da Silva, Frédérique Seyler, Jean-Loup Guyot

Publikováno v: International Journal of Remote Sensing
International Journal of Remote Sensing, Taylor & Francis, 2012, 33 (11), pp.3323-3353. ⟨10.1080/01431161.2010.531914⟩

ISI Document Delivery No.: 917HP Times Cited: 3 Cited Reference Count: 80 Cited References: Acreman MC, 2007, HYDROL EARTH SYST SC, V11, P158 Alsdorf D, 2001, GEOPHYS RES LETT, V28, P2671, DOI 10.1029/2001GL012962 Alsdorf DE, 2001, IEEE T GEOSCI REMO

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8059f7b02375cc7c5f534d8608254a6
https://doi.org/10.1080/01431161.2010.531914

Interannual variability in water storage over 2003–2008 in the Amazon Basin from GRACE space gravimetry, in situ river level and precipitation data

Autor: Anny Cazenave, O. C. Rotunno Filho, William Llovel, Luciano Nóbrega Rodrigues Xavier, Melanie Becker, Laurent Longuevergne

Publikováno v: Remote Sensing of Environment
Remote Sensing of Environment, Elsevier, 2010, 114 (8), pp.1629-1637
Remote Sensing of Environment, Elsevier, 2012, pp.1629-1637. ⟨10.1016/j.rse.2010.02.005⟩
Remote Sensing of Environment, 2012, 114 (114), pp.1629-1637. ⟨10.1016/j.rse.2010.02.005⟩

International audience; We investigate the interannual variability over 2003-2008 of different hydrological parameters in the Amazon river basin: (1) vertically-integrated water storage from the GRACE space gravimetry mission, (2) surface water level

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e174c496ae956c6a05e86df9186b391
https://doi.org/10.1016/j.rse.2010.02.005

Calibraçao e validaçao de modelo hidrologico com observaçoes in situ alimetria e gravimetria espaciais

Autor: Jean Martinez, Emmanuel Roux, F. Frappart, O. C. Rotunno Filho, Stéphane Calmant, Augusto Getirana, Marie-Paule Bonnet, Walter Collischonn, Webe João Mansur, Guillaume Ramillien, Luciano Nóbrega Rodrigues Xavier, Frédérique Seyler, Jean-Loup Guyot

Publikováno v: Revista Brasileira de Recursos Hidricos
Revista Brasileira de Recursos Hidricos, 2011, 16 (1), pp.29-45
Repositório Institucional da UFRGS
Universidade Federal do Rio Grande do Sul (UFRGS)
instacron:UFRGS

Este artigo tem como objetivo descrever a modelagem hidrológica da bacia do rio Negro com o auxílio conjunto da altimetria e gravimetria espaciais. Empregou-se o modelo hidrológico MGB-IPH para simular os processos hidrológicos na bacia. Uma nova

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba47e814ef32e427f7ef513bed45d70c
https://hal.science/hal-01370626