Estimating turbulent fluxes through assimilation of geostationary operational environmental satellites data using ensemble Kalman filter

Improving the Noah Land Surface Model in Arid Regions with an Appropriate Parameterization of the Thermal Roughness Length

(2010) Yingying Chen et al.   JOURNAL OF HYDROMETEOROLOGY

Improving Predictions of Water and Heat Fluxes by Assimilating MODIS Land Surface Temperature Products into the Common Land Model

(2010) Tongren Xu et al.   JOURNAL OF HYDROMETEOROLOGY

Simultaneous estimation of both soil moisture and model parameters using particle filtering method through the assimilation of microwave signal

(2009) Jun Qin et al.   JOURNAL OF GEOPHYSICAL RESEARCH

A dual-pass variational data assimilation framework for estimating soil moisture profiles from AMSR-E microwave brightness temperature

(2009) Xiangjun Tian et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Evaluation of the Noah Land Surface Model Using Data from a Fair-Weather IHOP_2002 Day with Heterogeneous Surface Fluxes

(2008) Margaret A. LeMone et al.   MONTHLY WEATHER REVIEW

Comparison of adaptive filtering techniques for land surface data assimilation

(2008) W. T. Crow et al.   WATER RESOURCES RESEARCH

Monitoring root-zone soil moisture through the assimilation of a thermal remote sensing-based soil moisture proxy into a water balance model

(2007) W CROW et al.   REMOTE SENSING OF ENVIRONMENT

Assimilation of remotely sensed data for improved latent and sensible heat flux prediction: A comparative synthetic study

(2007) R PIPUNIC et al.   REMOTE SENSING OF ENVIRONMENT

Retrieving soil temperature profile by assimilating MODIS LST products with ensemble Kalman filter

(2007) C HUANG et al.   REMOTE SENSING OF ENVIRONMENT

Validating MODIS land surface temperature products using long-term nighttime ground measurements

(2007) Wenhui Wang et al.   REMOTE SENSING OF ENVIRONMENT

Global estimates of the land–atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites

(2007) Joshua B. Fisher et al.   REMOTE SENSING OF ENVIRONMENT