Abstract
Soil moisture content is an important component of the hydrologic cycle, particularly over vegetation root-zone depths where its variation is linked to the relative fractions of evaporative and sensible heat flux feedbacks to the lower atmosphere, surface runoff, and groundwater recharge. Quantifying these processes across catchments using land surface models (LSMs), therefore, depends on soil moisture state prediction. This chapter utilizes in situ soil moisture profile data from the OzNet monitoring network in southeastern Australia to validate LSM assimilation results. The impact from assimilating a near-surface soil moisture data product - derived from the advanced microwave scanning radiometer for the earth observing system (AMSR-E) observations of the top 1-2cm of soil - on deeper soil moisture profile predictions from the community atmosphere biosphere land exchange model (CABLE) is examined.
Original language | English |
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Title of host publication | Remote Sensing of the Terrestrial Water Cycle |
Editors | Venkat Lakshmi, Douglas Alsdorf, Martha Anderson, Sylvain Biancamaria, Michael Cosh, Jared Entin, George Huffman, William Kustas, Peter van Oevelen, Thomas Painter, Juraj Parajka, Matthew Rodell, Christoph Rudiger |
Place of Publication | Washington DC USA |
Publisher | John Wiley & Sons |
Pages | 305 - 317 |
Number of pages | 13 |
Edition | 1 |
ISBN (Print) | 9781118872031 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- AMSR-E
- CABLE
- land surface models
- near-surface soil moisture assimilation
- OzNet stations
- southeastern Australia
- vegetation root-zone depths