STAR Soil Moisture Operational Product System (SMOPS) Portal - Publications
2025
Yin, J. F., Zhan, X. W., Liu, J. C., Barlage, M., Meng, H., Kalluri, S., Yang, J. X., Ogden, F. L., Goldberg, M. D., Zhao, L. M., Cosh, M., & Ferraro, R. R. (2025). Reprocessed NOAA SMOPS Blended Soil Moisture Product as a Climate Data Record. Bulletin of the American Meteorological Society, 106(8), E1601-E1619. [10.1175/bams-d-23-0248.1]
2024
Anderson, M. C., Kustas, W. P., Norman, J. M., Diak, G. T., Hain, C. R., Gao, F., Yang, Y., Knipper, K. R., Xue, J., Yang, Y., Crow, W. T., Holmes, T. R. H., Nieto, H., Guzinski, R., Otkin, J. A., Mecikalski, J. R., Cammalleri, C., Torres-Rua, A. T., Zhan, X. W., Fang, L., Colaizzi, P. D., & Agam, N. (2024). A Brief History of the Thermal IR-Based Two-Source Energy Balance (TSEB) Model - Diagnosing Evapotranspiration from Plant to Global Scales. Agricultural and Forest Meteorology, 350. [10.1016/j.agrformet.2024.109951]
Li, Y., Sun, D. L., Zhan, X. W., Houser, P., Yang, C. W., & Qu, J. J. (2024). Downscaling Land Surface Temperature Derived from Microwave Observations with the Super-Resolution Reconstruction Method: A Case Study in the CONUS. Remote Sensing, 16(5). [10.3390/rs16050739]
2023
Yin, J. F., Zhan, X. W., Barlage, M., Kumar, S., Fox, A., Albergel, C., Hain, C. R., Ferraro, R. R., & Liu, J. C. (2023). Assimilation of Blended Satellite Soil Moisture Data Products to Further Improve Noah-Mp Model Skills. Journal of Hydrology, 621. [10.1016/j.jhydrol.2023.129596]
Yin, J. F., Zhan, X. W., Barlage, M., Liu, J. C., Meng, H., & Ferraro, R. R. (2023). Refinement of NOAA AMSR-2 Soil Moisture Data Product: 1. Intercomparisons of the Commonly Used Machine-Learning Models. IEEE Transactions on Geoscience and Remote Sensing, 61. [10.1109/tgrs.2023.3280173]
Yin, J. F., Zhan, X. W., Barlage, M., Liu, J. C., Meng, H., & Ferraro, R. R. (2023). Refinement of NOAA AMSR-2 Soil Moisture Data Product-Part 2: Development with the Optimal Machine Learning Model. IEEE Transactions on Geoscience and Remote Sensing, 61. [10.1109/tgrs.2023.3280176]
2022
Yin, J. F., Zhan, X. W., Liu, J. C., & Ferraro, R. R. (2022). A New Method for Generating the SMOPS Blended Satellite Soil Moisture Data Product without Relying on a Model Climatology. Remote Sensing, 14(7). [10.3390/rs14071700]
2020
Fang, L., Zhan, X. W., Yin, J. F., Liu, J. C., Schull, M., Walker, J. P., Wen, J., Cosh, M. H., Lakhankar, T., Collins, C. H., Bosch, D. D., & Starks, P. J. (2020). An Intercomparison Study of Algorithms for Downscaling SMAP Radiometer Soil Moisture Retrievals. Journal of Hydrometeorology, 21(8), 1761-1775. [10.1175/jhm-d-19-0034.1]
Yin, J. F., & Zhan, X. W. (2020). Scale Impact of Soil Moisture Observations to Noah-Mp Land Surface Model Simulations. Remote Sensing, 12(7). [10.3390/rs12071169]
Yin, J. F., Zhan, X. W., & Liu, J. C. (2020). NOAA Satellite Soil Moisture Operational Product System (SMOPS) Version 3.0 Generates Higher Accuracy Blended Satellite Soil Moisture. Remote Sensing, 12(17). [10.3390/rs12172861]
Yin, J. F., Zhan, X. W., Liu, J. C., Moradkhani, H., Fang, L., & Walker, J. P. (2020). Near-Real-Time One-Kilometre Soil Moisture Active Passive Soil Moisture Data Product. Hydrological Processes, 34(21), 4083-4096. [10.1002/hyp.13857]
2019
Wehbe, Y., Temimi, M., Weston, M., Chaouch, N., Branch, O., Schwitalla, T., Wulfmeyer, V., Zhan, X. W., Liu, J. C., & Al Mandous, A. (2019). Analysis of an Extreme Weather Event in a Hyper-Arid Region Using Wrf-Hydro Coupling, Station, and Satellite Data. Natural Hazards and Earth System Sciences, 19(6), 1129-1149. [10.5194/nhess-19-1129-2019]
Yin, J., Hain, C. R., Zhan, X. W., Dong, J. R., & Ek, M. (2019). Improvements in the Forecasts of near-Surface Variables in the Global Forecast System (GFS) Via Assimilating ASCAT Soil Moisture Retrievals. Journal of Hydrology, 578. [10.1016/j.jhydrol.2019.124018]
Yin, J. F., Zhan, X. W., Liu, J. C., & Schull, M. (2019). An Intercomparison of Noah Model Skills with Benefits of Assimilating SMOPS Blended and Individual Soil Moisture Retrievals. Water Resources Research, 55(4), 2572-2592. [10.1029/2018wr024326]
2018
Fang, L., Zhan, X. W., Hain, C. R., & Liu, J. C. (2018). Impact of Using near Real-Time Green Vegetation Fraction in Noah Land Surface Model of NOAA NCEP on Numerical Weather Predictions. Advances in Meteorology. [10.1155/2018/9256396]
Fang, L., Zhan, X. W., Hain, C. R., Yin, J. F., & Liu, J. C. (2018). Impact of Gvf Derivation Methods on Noah Land Surface Model Simulations and Wrf Model Forecasts. Journal of Hydrometeorology, 19(12), 1917-1933. [10.1175/jhm-d-18-0075.1]
Fang, L., Zhan, X. W., Hain, C. R., Yin, J. F., Liu, J. C., & Schull, M. A. (2018). An Assessment of the Impact of Land Thermal Infrared Observation on Regional Weather Forecasts Using Two Different Data Assimilation Approaches. Remote Sensing, 10(4). [10.3390/rs10040625]
Nearing, G., Yatheendradas, S., Crow, W., Zhan, X. W., Liu, J. C., & Chen, F. (2018). The Efficiency of Data Assimilation. Water Resources Research, 54(9), 6374-6392. [10.1029/2017wr020991]
Yin, J. F., Shen, R. P., Meng, Q. Y., Xu, H., & Wang, H. S. (2018). Satellite Soil Moisture and Its Applications. Advances in Meteorology. [10.1155/2018/4328574]
Yin, J. F., & Zhan, X. W. (2018). Impact of Bias-Correction Methods on Effectiveness of Assimilating SMAP Soil Moisture Data into NCEP Global Forecast System Using the Ensemble Kalman Filter. IEEE Geoscience and Remote Sensing Letters, 15(5), 659-663. [10.1109/lgrs.2018.2806092]
Yin, J. F., Zhan, X. W., Hain, C. R., Liu, J. C., & Anderson, M. C. (2018). A Method for Objectively Integrating Soil Moisture Satellite Observations and Model Simulations toward a Blended Drought Index. Water Resources Research, 54(9), 6772-6791. [10.1029/2017wr021959]
Zheng, W. Z., Zhan, X. W., Liu, J. C., & Ek, M. (2018). A Preliminary Assessment of the Impact of Assimilating Satellite Soil Moisture Data Products on NCEP Global Forecast System. Advances in Meteorology. [10.1155/2018/7363194]
2017
Zhan, X. W., Fang, L., Liu, J. C., Hain, C., Yin, J. F., Schull, M., Cosh, M., Wen, J., Lakhankar, T., Yang, K., & Walker, J. (2017). Fusing Microwave and Optical Satellite Observations for High Resolution Soil Moisture Data Products. 2017 IEEE International Geoscience and Remote Sensing Symposium, 2519-2522. [10.1109/IGARSS.2017.8127507]
2016
Fang, L., Hain, C. R., Zhan, X., & Anderson, M. C. (2016). An Inter-Comparison of Soil Moisture Data Products from Satellite Remote Sensing and a Land Surface Model. International Journal of Applied Earth Observation and Geoinformation, 48, 37-50. [10.1016/j.jag.2015.10.006]
Liu, J. C., Zhan, X. W., Hain, C., Yin, J. F., Fang, L., Li, Z. P., & Zhao, L. M. (2016). NOAA Soil Moisture Operational Product System (SMOPS) and Its Validations. 2016 IEEE International Geoscience and Remote Sensing Symposium, 3477-3480.
Zhan, X. W., Liu, J. C., Wen, J., Zhao, L. M., Vargas, M., Weng, F. Z., & Ieee. (2016). Soil Moisture Data Product Generated from NASA SMAP Observations with NOAA Ancillary Data. 2016 IEEE International Geoscience and Remote Sensing Symposium, 5237-5240. [10.1109/igarss.2016.7730364]
Zhan, X. W., Zheng, W. Z., Fang, L., Liu, J. C., Hain, C., Yin, J. F., Ek, M., & Ieee. (2016). A Preliminary Assessment of the Impact of SMAP Soil Moisture on Numerical Weather Forecasts from GFS and Nuwrf Models. 2016 IEEE International Geoscience and Remote Sensing Symposium, 5229-5232. [10.1109/igarss.2016.7730362]
2015
Yin, J., Zhan, X., Zheng, Y., Liu, J., Fang, L., & Hain, C. R. (2015). Enhancing Model Skill by Assimilating SMOPS Blended Soil Moisture Product into Noah Land Surface Model. Journal of Hydrometeorology, 16(2), 917-931. [10.1175/jhm-d-14-0070.1]
Yin, J., Zheng, Y., Zhan, X., Hain, C. R., Zhai, Q., Duan, C., Wu, R., Liu, J., & Fang, L. (2015). An Assessment of Impacts of Land-Cover Changes on Root-Zone Soil Moisture. International Journal of Remote Sensing, 36(24), 6116-6134. [10.1080/01431161.2015.1111539]
Yin, J. F., Zhan, X. W., Zheng, Y. F., Hain, C. R., Liu, J. C., & Fang, L. (2015). Optimal Ensemble Size of Ensemble Kalman Filter in Sequential Soil Moisture Data Assimilation. Geophysical Research Letters, 42(16), 6710-6715. [10.1002/2015GL063366]
2014
Yin, J., Zhan, X., Zheng, Y., Liu, J., Hain, C. R., & Fang, L. (2014). Impact of Quality Control of Satellite Soil Moisture Data on Their Assimilation into Land Surface Model. Geophysical Research Letters, 41(20), 7159-7166. [10.1002/2014gl060659]
2011
Jiao, Z., Woodcock, C., Schaaf, C. B., Tan, B., Liu, J. C., Gao, F., Strahler, A., Li, X. W., & Wang, J. D. (2011). Improving MODIS Land Cover Classification by Combining MODIS Spectral and Angular Signatures in a Canadian Boreal Forest. Canadian Journal of Remote Sensing, 37(2), 184-203. [10.5589/m11-030]
2010
Zhan, X. W., Anderson, M., & Liu, J. C. (2010). Merging Thermal and Microwave Satellite Observations for a High-Resolution Soil Moisture Data Product. 2010 IEEE International Geoscience and Remote Sensing Symposium, 4440-4441.
2009
Liu, J. C., Schaaf, C., Strahler, A., Jiao, Z. T., Shuai, Y. M., Zhang, Q. L., Roman, M., Augustine, J. A., & Dutton, E. G. (2009). Validation of Moderate Resolution Imaging Spectroradiometer (MODIS) Albedo Retrieval Algorithm: Dependence of Albedo on Solar Zenith Angle. Journal of Geophysical Research-Atmospheres, 114. [10.1029/2008jd009969]
2008
Zhan, X., Crow, W. T., Jackson, T. J., & O' Neill, P. E. (2008). Improving Spaceborne Radiometer Soil Moisture Retrievals with Alternative Aggregation Rules for Ancillary Parameters in Highly Heterogeneous Vegetated Areas. IEEE Geoscience and Remote Sensing Letters, 5(2), 261-265. [10.1109/LGRS.2008.915931]
Coddington, O., Schmidt, K. S., Pilewskie, P., Gore, W. J., Bergstrom, R. W., Roman, M., Redemann, J., Russell, P. B., Liu, J. C., & Schaaf, C. C. (2008). Aircraft Measurements of Spectral Surface Albedo and Its Consistency with Ground-Based and Space-Borne Observations. Journal of Geophysical Research-Atmospheres, 113(D17). [10.1029/2008jd010089]