Data assimilation into land surface models: the implications for climate feedbacks

Assimilation of land surface temperature into the land surface model JULES with an ensemble Kalman filter

(2010) D. Ghent et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Indirect vegetation-soil moisture feedback with application to Holocene North Africa climate1

(2009) Z. LIU et al.   GLOBAL CHANGE BIOLOGY

An Improved Soil Moisture Retrieval Algorithm for ERS and METOP Scatterometer Observations

(2009) V. Naeimi et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Statistical identification of global hot spots in soil moisture feedbacks among IPCC AR4 models

(2008) Michael Notaro   JOURNAL OF GEOPHYSICAL RESEARCH

Assessing land-atmosphere coupling using soil moisture from the Global Land Data Assimilation System and observational precipitation

(2008) Jingyong Zhang et al.   JOURNAL OF GEOPHYSICAL RESEARCH

An assessment of remotely sensed land surface temperature

(2008) Isabel F. Trigo et al.   JOURNAL OF GEOPHYSICAL RESEARCH

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

Assimilating canopy reflectance data into an ecosystem model with an Ensemble Kalman Filter

(2007) T QUAIFE et al.   REMOTE SENSING OF ENVIRONMENT

Satellite-based estimation of surface vapor pressure deficits using MODIS land surface temperature data

(2007) H HASHIMOTO et al.   REMOTE SENSING OF ENVIRONMENT

A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS

(2007) D SIMS et al.   REMOTE SENSING OF ENVIRONMENT