GPM Refereed Publications
Li, X., and R. Liu,
: Quality Assessment of Rain Rate Product from FengYun-3D MWRI. IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, , 5647-5650, doi:10.1109/IGARSS53475.2024.10642108.
Li, X., D. Long, L. J. Slater, S. Moulds, M. Shahid, P. Han, and F. Zha,
: Soil Moisture to Runoff (SM2R): A Data-Driven Model for Runoff Estimation Across Poorly Gauged Asian Water Towers Based on Soil Moisture Dynamics. Water Resources Research, 59(3), e2022WR033597, doi:10.1029/2022WR033597.
Li, X., J.-P. Wigneron, F. Frappart, G. De Lannoy, L. Fan, T. Zhao, L. Gao, S. Tao, H. Ma, Z. Peng, X. Liu, H. Wang, M. Wang, C. Moisy, and P. Ciais,
: The first global soil moisture and vegetation optical depth product retrieved from fused SMOS and SMAP L-band observations. Remote Sensing of Environment, 282, 113272, doi:10.1016/j.rse.2022.113272.
Li, X., J.-P. Wigneron, L. Fan, F. Frappart , S. H. Yueh, A. Colliander, A. Ebtehaj, L. Gao, R. Fernandez-Moran, X. Liu, M. Wang, H. Ma, C. Moisy, and P. Ciais,
: A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison. Remote Sensing of Environment, 271, 112921, doi:10.1016/j.rse.2022.112921.
Li, X., L. Yang, Z. Tong, and H. Li,
: Analysis of Convective and Stratiform Precipitation Characteristics in Xinjiang, China Based on GPM Dual-Frequency Precipitation Radar. Advances in Meteorology, 2024(1), 8043060, doi:10.1155/2024/8043060.
Li, X., S. O, N. Wang, l. Liu, and Y. Huang,
: Evaluation of the GPM IMERG V06 products for light rain over Mainland China. Atmos. Res., 253, 105510, doi:10.1016/j.atmosres.2021.105510.
Li, X., Y. Chen, X. Deng, Y. Zhang, L. Chen,
: Evaluation and Hydrological Utility of the GPM IMERG Precipitation Products over the Xinfengjiang River Reservoir Basin, China. Rem. Sens., 13(5), 866, doi:10.3390/rs13050866.
Li, X., Y. Zhang,, Y. Lin, X. Peng, B. Zhou, P. Zhai, and J. Li,
: Impact of Revised Trigger and Closure of the Double-Plume Convective Parameterization on Precipitation Simulations over East Asia. Advances in Atmospheric Sciences, 40, 1225–1243, doi:10.1007/s00376-022-2225-9.
Li, Y., X. Ma, K. Yan, C. Cao, X. Zhu, and K. Liu,
: Satellite-Observed Greening of Human-Dominated Ecosystems in Global Dryland. J. Remote Sensing, 5, 0941, doi:10.34133/remotesensing.0941.
Li, Z., B. Wen, L. Liao, D. B. Wolff, R. Meneghini, and T. Schuur,
: Joint Collaboration on Comparing NOAA’s Ground-Based Weather Radar and NASA–JAXA’s Spaceborne Radar. Bull. Amer. Meteo. Soc., 127, E1435–E1451, doi:10.1175/BAMS-D-22-0127.1.
Li, Z., D. B. Wright, S. H. Hartke, D. B. Kirschbaum, S. Khan, V. Maggioni, and P. E. Kirstetter,
: Toward a Globally-Applicable Uncertainty Quantification Framework for Satellite Multisensor Precipitation Products Based on GPM DPR. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-15, doi:10.1109/TGRS.2023.3235270.
Li, Z., D. B. Wright, S.Q. Zhang, D. B. Kirschbaum, and S. H. Hartke,
: Object-Based Comparison of Data-Driven and Physics-Driven Satellite Estimates of Extreme Rainfall. J. Hydrometeorology, 21(12), 2759–2776, doi:10.1175/JHM-D-20-0041.1.
Li, Z., E. J. Thompson, and H. Chen,
: The Uncertainty of IMERG Over the Western Edge of the Eastern Pacific Fresh Pool: An Error Model Based on SPURS-2 Field Campaign Observations. IEEE Transactions on Geoscience and Remote Sensing, 61, 1-14, doi:10.1109/TGRS.2023.3306795.
Li, Z., G. Tang, P.E. Kirstetter, S. Gao, Y. Hong, J.F. Li, Y. Wen,
: Evaluation of GPM IMERG and its constellations in extreme events over the conterminous united states. J. Hydrology, 606, , doi:10.1016/j.jhydrol.2021.127357.
Li, Z., G. Tang, Z. Hong, M. Chen, S. Gao, P. E. Kirstetter, J. Gourley, Y. Wen, T. Yami, S. Nabih, and Y. Hong,
: Two-decades of GPM IMERG early and final run products intercomparison: Similarity and difference in climatology, rates, and extremes. J. of Hydrology, 594, 125975, doi:10.1016/j.jhydrol.2021.125975.
Li, Z., M. Chen, S. Gao, Z. Hong, G. Tang, Y. Wen, J. J. Gourley, and Y. Hong,
: Cross-Examination of Similarity, Difference and Deficiency of Gauge, Radar and Satellite Precipitation Measuring Uncertainties for Extreme Events Using Conventional Metrics and Multiplicative Triple Collocation. Rem. Sens., 12(8), 1258, doi:10.3390/rs12081258.
Li, Z., Q. Liu, and Z. Ma,
: Influences of Graupel Microphysics on CMA-GFS Simulation of Summer Regional Precipitation. J. of Meteorological Research, 38(1), 27–38, doi:10.1007/s13351-024-3068-3.
Li, Z., Y. Wen, M. Schreier, A. Behrangi, Y. Hong, and B. Lambrigtsen,
: Advancing Satellite Precipitation Retrievals With Data Driven Approaches: Is Black Box Model Explainable?. Earth and Space Science, 8(2), e2020EA001423, doi:10.1029/2020EA001423.
Liang, L., Z. Han, J. Li, X. Xia, Y. Sun, H. Liao, R. Liu, M. Liang, Y. Gao, R. Zhang,
: Emission, transport, deposition, chemical and radiative impacts of mineral dust during severe dust storm periods in March 2021 over East Asia. Science of The Total Environment, 852, 158459, doi:10.1016/j.scitotenv.2022.158459.
Liang, Z., S. Chen, J. Hu, C. Huang, A. Zhang, L. Xiao, Z., and X. Tong,
: Hydrologic Evaluation of Integrated Multi-Satellite Retrievals for GPM over Nanliu River Basin in Tropical Humid Southern China. Water, 11(5), 932, doi:10.3390/w11050932.