SOLS : A lake database to monitor in the Near Real Time water level and storage variations from remote sensing data Crétaux, J. F. Jelinski, W. /Calmant, Stéphane Kouraev, A. Vuglinski, V. Bergé Nguyen, M. Gennero, M. C. /Nino, Fernando Del Rio, R. A. Cazenave, A. Maisongrande, P. Lake Database Radar altimetry Satellite imagery Essential climate variable An accurate and continuous monitoring of lakes and inland seas is available since 1993 thanks to the satellite altimetry missions (Topex-Poseidon, GFO, ERS-2, Jason-1, Jason-2 and Envisat). Global data processing of these satellites provides temporal and spatial time series of lakes surface height with a decimetre precision on the whole Earth. The response of water level to regional hydrology is particularly marked for lakes and inland seas in semi-arid regions. A lake data centre is under development at by LEGOS (Laboratoire d'Etude en Geophysique et Oceanographie Spatiale) in Toulouse, in coordination with the HYDROLARE project (Headed by SHI: State Hydrological Institute of the Russian Academy of Science). It already provides level variations for about 150 lakes and reservoirs, freely available on the web site (HYDROWEB: http://www.LEGOS.obs-mip.fr/soa/hydrologie/HYDROWEB), and surface-volume variations of about 50 big lakes arc also calculated through a combination of various satellite images (Modis, Asar, Landsat, Cbers) and radar altimetry. The final objective is to achieve in 2011 a fully operating data centre based on remote sensing technique and controlled by the in situ infrastructure for the Global Terrestrial Network for Lakes (GTN-L) under the supervision of WMO (World Meteorological Organization) and GCOS (Global Climate Observing System). 2011 text https://www.documentation.ird.fr/hor/fdi:010053534 fdi:010053534 Crétaux J. F., Jelinski W., Calmant Stéphane, Kouraev A., Vuglinski V., Bergé Nguyen M., Gennero M. C., Nino Fernando, Del Rio R. A., Cazenave A., Maisongrande P.. SOLS : A lake database to monitor in the Near Real Time water level and storage variations from remote sensing data. 2011, 47 (9), 1497-1507 EN