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ISI Document Delivery No.: 094JU Times Cited: 0 Cited Reference Count: 59 Cited References: Alsdorf D, 2001, GEOPHYS RES LETT, V28, P2671, DOI 10.1029/2001GL012962 Alsdorf D., 2003, EOS T AGU, V84, P269, DOI [DOI 10.1029/2003E0290001, DOI 10.1029/2003EO290001] Alsdorf DE, 2007, REV GEOPHYS, V45, DOI 10.1029/2006RG000197 Argyilan EP, 2003, J GREAT LAKES RES, V29, P488 Avakyan A. B., 1998, Lakes Reservoirs Research and Management, V3, P45, DOI 10.1111/j.1440-1770.1998.tb00031.x Becker M, 2010, CR GEOSCI, V342, P223, DOI 10.1016/j.crte.2009.12.010 Berry P. A. M., 2009, PRODUCT HDB, V3 Berry P. A. M., 2002, International Journal on Hydropower & Dams, V9 Berry P. A. 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Cretaux, Jean-Franois Ricko, Martina/D-2638-2013; carton, james/C-4807-2009 NASA [NNX10AO99G, NNX08AT886, NNX08AM72G] The authors would like to thank the reviewers and Jerome Benveniste for their valuable comments and suggestions. We also thank Richard Smith and Philippa Berry from EAPRS Laboratory, De Montfort University, UK, and Jerome Benveniste from the European Space Agency for supplying the ERS-2 data products. Altimetric data products used in this study was provided by: LEGOS [www.legos.obs-mip.fr/soa/hydrologie/hydroweb]; NASA/USDA [www.pecad.fas.usda.gov/cropexplorer/global_reservoir/]; ESA-DMU [tethys.eaprs.cse.dmu.ac.uk/RiverLake/shared/main]. Gauge data was provided by John Ratsey from the Ministry of Water Resources for Lake Tana; Francois Delclaux from HydroSciences Montpellier for Lake Chad; the Volta River Authority [www.vra.com]; the Lake Mead Water Database [lakemead.water-data.com/] and the Lake Powell Water Database [lakepowell.water-data.com/], the U.S. Bureau of Reclamation and NOAA [tidesandcurrents.noaa.gov] and the U.S. Geological Survey [waterdata.usgs.gov/nwis] for USA lakes; Environment Canada for Lake Athabasca; and the Venezuelan [opsis.org.ve/home3.html] for Lake Guri. Geoid height data for Lake Ontario was provided by Brian Beckley. Support for MR and JAC has been provided by NASA Grant NNX10AO99G, while support for CMB has been provided by NASA Grants NNX08AT886 and NNX08AM72G. This work forms part of the dissertation research of MR. 0 SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS BELLINGHAM J APPL REMOTE SENSSatellite radar altimeter measurements of lake and reservoir water levels complement in situ observations by providing stage information for ungauged basins and by filling data gaps in existing gauge records. Such additional measurements assist both research and operational programs. However, for a particular lake or reservoir, altimetric products offered to end-users may differ due to choice of employed instrument, processing technique, and applied geophysical corrections. To explore these differences, particularly with their potential impact on climate-based research, an intercomparison of three web-based water-level products (produced by Laboratoire d'Etudes en Geophysique et Oceanographie Spatiale, National Aeronautics and Space Administration/United States Department of Agriculture, and European Space Agency/De Montfort University) has been undertaken based on 18 lakes and reservoirs. The products are well correlated with each other (r = 0.87 to 0.99) and where in situ data are available are quite well correlated with the gauge measurements (r = 0.73 to 0.99). Despite variations in data processing, the poorest root-mean-square differences between any altimeter product and gauge data (similar to 0.20 to 1.41 m) occur for the narrow reservoirs and smaller lakes. The largest discrepancies between the altimeter products occur for the lakes that freeze (Lake Athabasca and Woods). The current altimeter products provide acceptable accuracy, long-term trends and seasonality for climate applications. We discuss the merits of each product system, but recommend further validations and the provision of ice-detection flags. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.JRS.6.061710

Intercomparison and validation of continental water level products derived from satellite radar altimetry