The Database for Hydrological Time Series of Inland Waters (DAHITI) was developed by the Deutsches Geodätisches Forschungsinstitut der Technischen Universität München (DGFI-TUM) in 2013. DAHITI provides water level time series of lakes, reservoirs, rivers, and wetlands derived from multi-mission satellite altimetry for hydrological applications. All water level time series are free available for the user community after a short registration process.
DAHITI as a global database currently provides 2740 water level time series distributed over all continents, except Antarctica. In Africa (804 time series), Asia (377), Australia (21), Europe (58), North America (243), and South America (1235) water level time series are available. The water level time series in DAHITI are freely available and can be downloaded after a short registration process. The amount of water level time series is permanently increasing.
For the estimation of water heights, multi-mission altimeter data are used. In detail, altimeter missions such as Topex (NASA, CNES), Jason-1 (NASA, CNES), Jason-2 (NASA, CNES, NOAA, EUMETSAT ), Jason-3 (NASA, CNES, NOAA, EUMETSAT ), GFO (US Navy), Envisat (ESA), ERS-1 (ESA), ERS-2 (ESA), Cryosat-2 (ESA), IceSAT (NASA), SARAL/AltiKa (ISRO, CNES), Sentinel-3A (ESA) and Sentinel-3B (ESA) are used.
The processing strategy of DAHITI which is described in detail in Schwatke et al. 2015 is based on an extended outlier detection and a Kalman filtering.
The user community of DAHITI primarily consists of hydrologists and geodesists but other disciplines are also represented. In general, DAHITI is addressed to all users who can use water level time series for their hydrological applications. The visitors of the DAHITI website come from 64 countries, where in most visitors are from USA, Germany, China, France, and Spain.