Auto-calibration System Developed to Assimilate AMSR-E Data into a Land Surface Model for Estimating Soil Moisture and the Surface Energy Budget-Reference-Cited by-同舟云学术

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Auto-calibration System Developed to Assimilate AMSR-E Data into a Land Surface Model for Estimating Soil Moisture and the Surface Energy Budget

Published:2007 Issue: Volume:85A Page:229-242
ISSN:0026-1165
Container-title:Journal of the Meteorological Society of Japan. Ser. II
language:en
Short-container-title:Journal of the Meteorological Society of Japan

Author:

YANG Kun¹,WATANABE Takahiro¹,KOIKE Toshio¹,LI Xin²,FUJII Hideyuki¹,TAMAGAWA Katsunori¹,MA Yaoming³,ISHIKAWA Hirohiko⁴

Affiliation:

1. Department of Civil Engineering, The University of Tokyo

2. Cold anel Arid Regions Environmental anel Engineering Research Institute, CAS, Lanzhou

3. Institute of Tibetan Plateau Research, CAS, Beijing

4. Disaster Prevention Research Institute, Kyoto University

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Link

http://www.jstage.jst.go.jp/article/jmsj/85A/0/85A_0_229/_pdf

Reference62 articles.

1. Berg, A.A., J.S. Famiglietti, J.P. Walker and P.R. Houser, 2003: Impact of bias correction to reanalysis products on simulations of North American soil moisture and hydrological fluxes. J. Geophys. Res., 108(D16), 4490, doi:10.1029/2002JD003334.

2. Betts, A.K., 2004: Understanding hydrometeorology using global models. Bull. Amer. Meteor. Soc., DOI:10.1175/BAMS-85-11-1673.

3. The land surface-atmosphere interaction: A review based on observational and global modeling perspectives

4. Burke, E.J. and L.P. Simmonds, 2001: A simple parameterisation for retrieving soil moisture from passive microwave data. Hydrol. Earth Syst. Sci., 5, 39-48.

5. Empirical equations for some soil hydraulic properties

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