Book chapter
Impact of Assimilating Spaceborne Microwave Signals for Improving Hydrological Prediction in Ungauged Basins
Remote Sensing of the Terrestrial Water Cycle, pp.439-450
John Wiley & Sons, Inc
11/03/2014
DOI: 10.1002/9781118872086.ch27
Abstract
In this chapter, the passive microwave streamflow signals from advanced microwave scanning radiometer for the earth observing system (AMSR‐E) are utilized directly, without in situ streamflow observations, in a hydrologic model to calibrate the hydrological model based on the approach in Khan et al. [2012]. Then, the frequency (exceedance probability) of the remote sensing streamflow signals is assimilated into the hydrological model through the data assimilation approach that was applied in Zhang et al. [2013] in order to demonstrate probabilistic flood prediction for an African basin. The chapter describes the study basin, the data applied, and the algorithm. It discusses the results of both calibration and data assimilation in frequency domain conducted by the streamflow signals compared to the results obtained by the in situ streamflow in both actual domain and frequency domain. Several studies in the Okavango River Basin have investigated the hydrological response under climate change.
Details
- Title: Subtitle
- Impact of Assimilating Spaceborne Microwave Signals for Improving Hydrological Prediction in Ungauged Basins
- Creators
- Yu Zhang - University of OklahomaYang Hong - University of OklahomaJonathan J Gourley - NOAA National Severe Storms LaboratoryXuguang Wang - University of OklahomaG. Robert Brakenridge - Institute of Arctic and Alpine ResearchTom De Groeve - Joint Research CentreHumberto Vergara - University of Oklahoma
- Contributors
- Venkat Lakshmi (Editor)Douglas Alsdorf (Editor)Martha Anderson (Editor)Sylvain Biancamaria (Editor)Michael Cosh (Editor)Jared Entin (Editor)George Huffman (Editor)William Kustas (Editor)Peter van Oevelen (Editor)Thomas Painter (Editor)Juraj Parajka (Editor)Matthew Rodell (Editor)Christoph Rüdiger (Editor)
- Resource Type
- Book chapter
- Publication Details
- Remote Sensing of the Terrestrial Water Cycle, pp.439-450
- Publisher
- John Wiley & Sons, Inc; Hoboken, NJ
- DOI
- 10.1002/9781118872086.ch27
- Number of pages
- 12
- Language
- English
- Date published
- 11/03/2014
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9984446429202771
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