Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Açık Bilim Politikası
Açık Bilim Politikası
Frequently Asked Questions
Frequently Asked Questions
Browse
Browse
By Issue Date
By Issue Date
Authors
Authors
Titles
Titles
Subjects
Subjects
Communities & Collections
Communities & Collections
Evaluating the utility of satellite-based precipitation estimates for runoff prediction in ungauged basins
Date
2005-04-09
Author
Yılmaz, Koray Kamil
Gupta, Hoshin
Hogue, Terri S.
Hsu, Kuo-Lin
Wagener, Thorsten
Sorooshian, Soroosh
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
3
views
0
downloads
Increased availability of global satellite-based precipitation estimates makes them potentially suitable for hydrological applications in remote regions where ground-based measurement networks are missing or sparse. This potential can be evaluated by testing the satellite estimates at locations where relatively dense ground-based networks are available. This study was conducted for two sites in the southeastern United States where precipitation estimates from a raingauge networks weather radar and satellite observations exist. The satellitebased estimates were provided by the PERSIANN system, which combines infrared and microwave information from geostationary and polar orbiting satellites. The precipitation estimates are first compared and then used to drive the Sacramento Soil Moisture Accounting hydrological model for runoff forecasting. The results provide insight into the potential utility of satellite-based precipitation estimates for water resources management of ungauged basins.
Subject Keywords
Flood Forecasting
,
Hydrological Modelling
,
Prediction In Ungauged Basins
,
Satellite Precipitation Estimates
,
USA
,
Water Resources Management
URI
https://hdl.handle.net/11511/55544
Collections
Department of Geological Engineering, Conference / Seminar