Springer Verlag, Water Resources Management, 3(28), p. 587-603
DOI: 10.1007/s11269-013-0484-z
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ISI Document Delivery No.: AB5KQ Times Cited: 0 Cited Reference Count: 32 Cited References: Alsdorf DE, 2007, REV GEOPHYS, V45, DOI 10.1029/2006RG000197 ANA (Agencia Nacional de Aguas), 2011, HYDR DAT BAS BAMBER JL, 1994, INT J REMOTE SENS, V15, P925 Bates B., 2008, CLIMATE CHANGE WATER Beneveniste J, 2004, ESA B, V117 Birkett CM, 1998, WATER RESOUR RES, V34, P1223, DOI 10.1029/98WR00124 Bittencourt Maria Mercedes, 2007, Acta Amazonica, V37, P303, DOI 10.1590/S0044-59672007000200019 Callede J, 2010, REV SCI EAU, V23, P247 Calmant S, 2008, SURVEY GEOPHYS, V29, P1573, DOI [10.1007/10712-008-9051-1, DOI 10.1007/10712-008-9051-1] Calmant S, 2006, CR GEOSCI, V338, P1113, DOI 10.1016/j.crte.2006.05.012 Cretaux JF, 2006, CR GEOSCI, V338, P1098, DOI 10.1016/j.crte.2006.08.002 Frappart F, 2006, REMOTE SENS ENVIRON, V100, P252, DOI 10.1016/j.rse.2005.10.027 Guyot JL, 1999, INT S HYDR GEOCH PRO Kabat P, 2004, VEGETATION WATER HUM Legresy B, 1997, J GLACIOL, V43, P265 Legresy B, 1995, CTEDTUUD96188 CNES Mercier F, 2011, HANDBOOK Mikhailov VN, 2010, WATER RESOUR+, V37, P145, DOI 10.1134/S009780781002003X MOLINIER M, 1995, COLLOQ SEMI, P335 Pavlis NK, 2008, P 2008 GEN ASS EUR G Peel MC, 2011, PROG PHYS GEOG, V35, P249, DOI 10.1177/0309133311402550 Ronchail J, 2006, IAHS PUBL, V308, P1 Roux E, 2010, HYDROLOG SCI J, V55, P104, DOI 10.1080/02626660903529023 Seyler F, 2009, HYDROL PROCESS, V23, P3173, DOI 10.1002/hyp.7397 Silva JS, 2012, INT J REMOTE SENS, V33, P3323, DOI 10.1080/01431161.2010.531914 Silva JS, 2010, ALTIMETRIA ESPACIAL Silva JS, 2010, REMOTE SENS ENVIRON, V114, P2160, DOI [10.1016/j.rse.2010.04.020, DOI 10.1016/J.RSE.2010.04.020] van Dijk AIJM, 2011, HYDROL EARTH SYST SC, V15, P39, DOI 10.5194/hess-15-39-2011 Wingham DJ, 1986, ESA, P1339 World Water Assessment Programme, 2006, 2 UNESCO WORLD WAT A World Water Assessment Programme, 2009, 3 UNESCO WORLD WAT A World Water Assessment Programme, 2009, WORLD WAT ASS PROGR da Silva, Joecila Santos Calmant, Stephane Seyler, Frederique Moreira, Daniel Medeiros Oliveira, Daniel Monteiro, Achiles CNPq; FAPEAM; CAPES; CPRM; IRD Authors are indebted to the reviewers who greatly helped in rewriting the preliminary version of the manuscript. Their work is part of the CASAM, DS BIODIVA, CLIVAR and HIDRAS projects, respectively funded by CNPq, FAPEAM and CAPES. CPRM and IRD participated to funding the study in the frame of the Project Hidrodinamica Fluvial, and CNES participated with the project TOSCA/FOAM. The authors would like to acknowledge the ANA (Agencia Nacional de Aguas, Brazil) for the gauge data, the CTOH (Centre de Topographie des Oceans et de l'Hydrosphere, LEGOS, France) for the access to T/P, ERS-2, ENVISAT and JASON-2 GDRs and additional tropospheric corrections via their on line database system and ESA (European Space Agency) for granting the use of the data. Acquisition of the JERS-1 SAR imagery was made possible by NASDA's Global Rain Forest Mapping Project. We thank Aline Correa de Souza and Taina Sampaio Xavier Conchy for the aid in the operation of the virtual stations. 0 SPRINGER DORDRECHT WATER RESOUR MANAG ; The hydrological observation network in the Amazon basin is made of conventional rainfall and water level stations presently maintained by the Agncia Nacional de Aguas (ANA), the National Agency for Waters. The water level network has long been plagued by difficulties associated with spatial coverage, timely delivery and data errors. Satellite observations are important means for providing hydrologic data with acceptable spatial and temporal resolution, and radar altimeters embarked onboard successive satellites since the early 1970s collect measurements of water level over rivers in a well-defined geodetic reference frame and can be used to address some of these problems. Nowadays, satellite altimetry can be used to collect the time variations of the water levels over many rivers throughout the word, as long as the reach are several hundred meters wide. This ability is particularly interesting in ungauge basins but it can also be used as an independent source of information to cross-check existing gauge series. In the present study, we focus on examples from the Amazon basin where radar altimetry has been used to provide an independent dataset that can be used to support the management of hydrological observation networks by including new data together with conventional field data,.