NOaa Soil Moisture Operational Product System (SMOPS) and its validations. - Jicheng Liu; Xiwu Zhan; Christopher Hain; Jifu Yin; Li Fang; Zhengpeng Li; Limin Zhao (IGARSS, 2016)

A preliminary assessment of the impact of SMAP Soil Moisture on numerical weather Forecasts from GFS and NUWRF models. - Xiwu Zhan; Weizhong Zheng; Li Fang; Jicheng Liu; Christopher Hain; Jifu Yin; Michael Ek (IGARSS, 2016)

Fusing microwave and optical satellite observations for high resolution soil moisture data products. - Xiwu Zhan; Li Fang; Jicheng Liu; Christopher Hain; Jifu Yin; Mitchell Schull; Michael H. Cosh; Jun Wen; Tarendra Lakhankar; Kun Yang 004; Jeffrey P. Walker (IGARSS, 2017)

Impact of Bias-Correction Methods on Effectiveness of Assimilating SMAP Soil Moisture Data into NCEP Global Forecast System Using the Ensemble Kalman Filter. - Jifu Yin; Xiwu Zhan (IEEE Geosci. Remote. Sens. Lett., 2018)

An Assessment of the Impact of Land Thermal Infrared Observation on Regional Weather Forecasts Using Two Different Data Assimilation Approaches. - Li Fang; Xiwu Zhan; Christopher R. Hain; Jifu Yin; Jicheng Liu; Mitchell A. Schull (Remote. Sens., 2018)

Scale Impact of Soil Moisture Observations to Noah-MP Land Surface Model Simulations. - Jifu Yin; Xiwu Zhan (Remote. Sens., 2020)

NOAA Satellite Soil Moisture Operational Product System (SMOPS) Version 3.0 Generates Higher Accuracy Blended Satellite Soil Moisture. - Jifu Yin; Xiwu Zhan; Jicheng Liu (Remote. Sens., 2020)

A Study of Two Impactful Heavy Rainfall Events in the Southern Appalachian Mountains during Early 2020, Part I; Societal Impacts, Synoptic Overview, and Historical Context. - Douglas Miller; John Forsythe; Sheldon Kusselson; William Straka III; Jifu Yin; Xiwu Zhan; Ralph Ferraro (Remote. Sens., 2021)

A New Method for Generating the SMOPS Blended Satellite Soil Moisture Data Product without Relying on a Model Climatology. - Jifu Yin; Xiwu Zhan; Jicheng Liu; Ralph R. Ferraro (Remote. Sens., 2022)

Refinement of NOAA AMSR-2 Soil Moisture Data Product: 1. Intercomparisons of the Commonly Used Machine-Learning Models. - Jifu Yin; Xiwu Zhan; Michael Barlage; Jicheng Liu; Huan Meng; Ralph R. Ferraro (IEEE Trans. Geosci. Remote. Sens., 2023)

Refinement of NOAA AMSR-2 Soil Moisture Data Product - Part 2: Development With the Optimal Machine Learning Model. - Jifu Yin; Xiwu Zhan; Michael Barlage; Jicheng Liu; Huan Meng; Ralph R. Ferraro (IEEE Trans. Geosci. Remote. Sens., 2023)