Liao-Fan Lin
Liao-Fan Lin
CIRA, Colorado State University; and NOAA/OAR/Global Systems Laboratory
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Dynamical Precipitation Downscaling for Hydrologic Applications Using WRF 4D-Var Data Assimilation: Implications for GPM Era
LF Lin, AM Ebtehaj, RL Bras, AN Flores, J Wang
Journal of Hydrometeorology 16 (2), 811-829, 2015
Soil moisture background error covariance and data assimilation in a coupled land‐atmosphere model
LF Lin, AM Ebtehaj, J Wang, RL Bras
Water Resources Research 53 (2), 1309-1335, 2017
Combined Assimilation of Satellite Precipitation and Soil Moisture: A Case Study Using TRMM and SMOS Data
LF Lin, AM Ebtehaj, AN Flores, S Bastola, RL Bras
Monthly Weather Review 145 (12), 4997-5014, 2017
Characteristics of Background Error Covariance of Soil Moisture and Atmospheric States in Strongly Coupled Land-Atmosphere Data Assimilation
LF Lin, Z Pu
Journal of Applied Meteorology and Climatology 57, 2507-2529, 2018
Evaluation of the quality of precipitation products: A case study using WRF and IMERG data over the central United States
J Zhang, LF Lin, RL Bras
Journal of Hydrometeorology 19, 2007-2020, 2018
Monthly Maps of SMAP L2 Version 4 Soil Moisture Retrievals over Contiguous United States in 2016: Data Sample Size Under Various Quality Flags
LF Lin, RL Bras
Georgia Institute of Technology, 2017
Data assimilation and dynamical downscaling of remotely-sensed precipitation and soil moisture from space
LF Lin
Georgia Institute of Technology, 2016
Examining the Impact of SMAP Soil Moisture Retrievals on Short-Range Weather Prediction Under Weakly-and Strongly-Coupled Data Assimilation with WRF-Noah
LF Lin, Z Pu
Monthly Weather Review 147, 4345-4366, 2019
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