Improving the temporal and spatial resolution of water level time series over Po River (Italy) obtained by multi-mission satellite altimetry

Mohammad J. Tourian (University of Stuttgart, Institute of Geodesy, France)

CoAuthors

Tao Qin (University of Stuttgart, Institute of Geodesy, Germany); Angelica Tarpanelli (Hydrology Research Group @ CNR IRPI, Perugia, Italy); Luca Brocca (Hydrology Research Group @ CNR IRPI, Perugia, Italy); Tommaso Moramarco (Hydrology Research Group @ CNR IRPI, Perugia, Italy); Nico Sneeuw (University of Stuttgart, Institute of Geodesy, Germany)

Event: 2014 Ocean Surface Topography Science Team Meeting

Session: Science Results from Satellite Altimetry: Inland waters (multi-mission and long-term monitoring)

Presentation type: Type Oral

Being a profiling method, satellite altimetry has a relatively poor spatial sampling that corresponds to the ground-track pattern, wherever it crosses hydrological objects (so-called virtual stations). The time resolution at the virtual stations is dictated by the repeat period of the satellite orbit, which is typically 10 days (TOPEX- and Jason-series) or 35 days (ERS- and Envisat-series, Altika). In this study we deal with the limitations of temporal and spatial resolution of satellite altimetry over Po River in Italy. Here, we follow a geodetic approach, by which all virtual stations of several satellite altimeters over Po River are connected hydraulically and statistically to each other and also to all available gauge stations. This specifically helps to improve the temporal resolution of altimetric water level time series. Moreover, our geodetic approach allows us to derive water level time series for a given location along the river between corresponding virtual stations. We validate our method against the extensive available in situ data sets over the Po River.
 

Oral presentation show times:

RoomStart DateEnd Date
Red salon Tue, Oct 28 2014,15:15 Tue, Oct 28 2014,15:30
Mohammad J. Tourian
University of Stuttgart, Institute of Geodesy
France
tourian@gis.uni-stuttgart.de