IMPROVING HYDROLOGICAL FORECASTING USING MULTI-SOURCE REMOTE SENSING DATA TOGETHER WITH IN SITU MEASUREMENTS

被引：0

作者：

Karna, Juha-Petri ^{[1
]}

Huttunen, Markus ^{[1
]}

Metsamaki, Sari ^{[1
]}

Vehvilainen, Bertel ^{[1
]}

Podsechin, Victor ^{[1
]}

Pulliainen, Jouni ^{[2
]}

Lemmetyinen, Juha ^{[2
]}

Kuitunen, Timo ^{[2
]}

Rauste, Yrjo ^{[3
]}

Berglund, Robin ^{[3
]}

机构：

[1] Finnish Environm Inst SYKE, Helsinki, Finland

[2] Finnish Meteorol Inst, Helsinki, Finland

[3] Tech Res Ctr Finland, VTT, Espoo, Finland

来源：

2010 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2010年

关键词：

Snow; hydrology; floods; multi-source data; SNOW WATER EQUIVALENT; BOREAL; MODEL; ZONE;

D O I：

10.1109/IGARSS.2010.5649827

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

This paper describes the development of information systems and techniques for improving hydrological forecasting by applying satellite observations, weather radars, and in situ measurements from automatic monitoring stations. In the methodology developed and demonstrated, the observation data are accompanied with a detailed soil and land cover information. The information system is concerned with the following physical characteristics relevant to river discharges and flooding: snow water equivalent (SWE), cumulative amount of precipitation, fraction of snow covered area during the melting period (FSC), soil moisture, and soil frost. Feasibility of the multi-source information system is demonstrated in a pilot experiment for Finnish Lapland, using the hydrological forecasting system of the Finnish Environment Institute (SYKE) as an example of a typical operational distributed model.

引用

页码：1749 / 1752

页数：4

共 7 条

[1] Snow-covered area estimation using satellite radar wide-swath images [J].