Improvement of daytime land surface skin temperature over arid regions in the NCEP GFS model and its impact on satellite data assimilation

@article{Zheng2012ImprovementOD,
  title={Improvement of daytime land surface skin temperature over arid regions in the NCEP GFS model and its impact on satellite data assimilation},
  author={Weizhong Zheng and Helin Wei and Zhuo Wang and Xubin Zeng and Jesse Meng and Michael B. Ek and Kenneth E. Mitchell and John Derber},
  journal={Journal of Geophysical Research},
  year={2012},
  volume={117}
}
[1] Comparison of the land surface skin temperature (LST) from the National Centers for Environmental Prediction (NCEP) operational Global Forecast System (GFS) against satellite and in situ data in summer 2007 indicates that the GFS has a large and cold bias in LST over the arid western continental United States (CONUS) during daytime. This LST bias contributes to large errors in simulated satellite brightness temperatures over land by the Community Radiative Transfer Model (CRTM) and hence… 

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