GPM Refereed Publications
Tan, J., N. Cho, L. Oreopoulos, P. E. Kirstetter, 
: Evaluation of GPROF V05 Precipitation Retrievals under Different Cloud Regimes. J. Hydrometeor.,  23(3), 389–402, doi:10.1175/JHM-D-21-0154.1. 
Tan, J., W. A. Petersen, G. Kirchengast, D. C. Goodrich, and D. B. Wolff, 
: Evaluation of Global Precipitation Measurement Rainfall Estimates against Three Dense Gauge Networks. J. Hydrometeor.,  19, 517-532, doi:10.1175/JHM-D-17-0174.1. 
Tan, J., W. A. Petersen, P.-E. Kirstetter, Y. Tian, 
: Performance of IMERG as a Function of Spatiotemporal Scale. J. Hydrometeor.,  18, 307-319, doi:10.1175/JHM-D-16-0174.1. 
Tan, M.-L., N. Samat, N.-W. Chan, and R. Roy, 
: Hydro-Meteorological Assessment of Three GPM Satellite Precipitation Products in the Kelantan River Basin, Malaysia. Rem. Sens.,  10, 1011, doi:10.3390/rs10071011. 
Tang, G., A. Behrangi, D. Long, C. Li, and Y. Hong, 
: Accounting for spatiotemporal errors of gauges: A critical step to evaluate gridded precipitation products. J. Hydrology,  559, 294-306, doi:10.1016/j.jhydrol.2018.02.057. 
Tang, G., A. Behrangi, Z. Ma, and Y. Hong, 
: Downscaling of ERA-Interim Temperature in the Contiguous United States and Its Implications for Rain–Snow Partitioning. J. Hydrometeor.,  19(7), 1215–1233, doi:10.1175/JHM-D-18-0041.1. 
Tang, G., D. Long, A. Behrangi, C. Wang, and Y. Hong, 
: Exploring Deep Neural Networks to Retrieve Rain and Snow in High Latitudes Using Multisensor and Reanalysis Data. Water Resources Research,  54(10), 8253-8278, doi:10.1029/2018WR023830. 
Tang, G., D. Long, and Y. Hong, 
: Systematic Anomalies Over Inland Water Bodies of High Mountain Asia in TRMM Precipitation Estimates: No Longer a Problem for the GPM Era?. IEEE Geoscience and Remote Sensing Letters,  13, 1762-1766, doi:10.1109/LGRS.2016.2606769. 
Tang, G., Y. Wen, J. Gao, D. Long, Y. Ma, W. Wan, and Y. Hong, 
: Similarities and differences between three coexisting spaceborne radars in global rainfall and snowfall estimation. Water Resources Research,  53, 3835–3853, doi:10.1002/2016WR019961. 
Tang, G., Y. Z. Ma, D. Long, L. Z. Zhong, and Y. Hong, 
: Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales. J. Hydrology,  533, 152-167, doi:10.1016/j.jhydrol.2015.12.008. 
Tang, G., Z. Zeng, D. Long, X. Guo, B. Yong, W. Zhang, and Y. Hong, 
: Statistical and Hydrological Comparisons between TRMM and GPM Level-3 Products over a Midlatitude Basin: Is Day-1 IMERG a Good Successor for TMPA 3B42V7?. J. Hydrometeor.,  17, 121-137, doi:10.1175/JHM-D-15-0059.1. 
Tao, J., and A. P. Barros, 
: Coupled Prediction of flood response and debris flows initiation 	during warm and cold season events in the Southern Appalachians. Hydrol. Earth Syst. Sci.,  18, 367-388, doi:10.5194/hess-18-367-2014. 
Tao, J., and A. P. Barros, 
: Multi-year atmospheric forcing datasets for hydrologic modeling in regions of complex terrain – Methodology and evaluation over the Integrated Precipitation and Hydrology Experiment 2014 domain. J. Hydrology,  567, 824-842, doi:10.1016/j.jhydrol.2016.12.058. 
Tao, J., and A. P. Barros, 
: Prospects for flash flood forecasting in mountainous regions – An investigation of Tropical Storm Fay in the Southern Appalachians. J. Hydrology,  506, 69-89, doi:10.1016/j.jhydrol.2013.02.052. 
Tao, J., D. Wu, J. Gourley, S. Q. Zhang, W. Crow, C. Peters-Lidard, and A. P. Barros, 
: Operational Hydrological Forecasting during the IPHEx-IOP Campaign – Meet the Challenge. J. Hydrology,  541(Pt. A), 434-456, doi:10.1016/j.jhydrol.2016.02.019. 
Tao, W.-K., D. Wu, S. Lang, J.-D. Chern, C. Peters-Lidard, A. Fridlind, T. Matsui, 
: High-resolution NU-WRF simulations of a deep convective-precipitation system during MC3E: Further improvements and comparisons between Goddard microphysics schemes and observations. J. Geophys. Res.,  121, 1278-1305, doi:10.1002/2015JD023986. 
Tao, W.-K., D. Wu, T. Matsui, C. Peters-Lidard, S. Lang, A. Hou, M. Rienecker, W. Petersen, and M. Jensen, 
: Precipitation intensity and variation during MC3E: A numerical modeling study. J. Geophys. Res.,  118, 7199-7218, doi:10.1002/jgrd.50410. 
Tao, W.-K., S. Lang, T. Iguchi and Y. Song, 
: A Goddard Latent Heating Retrieval Algorithm for TRMM and GPM. J. Meteor., Soc. Japan, GPM Special Issue,  100(2), 293-320, doi:10.2151/jmsj.2022-015. 
Tao, W.-K., S. Lang, X. Zeng, X. Li, T. Matsui, K. Mohr, D. Posselt, J. Chern, C. Peters-Lidard, P. M. Norris, I.-S. Kang, I. Choi, A. Hou, K.-M Lau, Y.-M. Yang, 
: The Goddard Cumulus Ensemble model (GCE): Improvements and applications for studying precipitation processes. Atmos. Res.,  143, 392-424, doi:10.1016/j.atmosres.2014.03.005. 
Tao, W.-K., T. Iguchi, and S. Lang, 
: Expanding the Goddard CSH Algorithm for GPM: New Extratropical Retrievals. J. Appl. Meteor. Climatol.,  58(5), 921–946, doi:10.1175/JAMC-D-18-0215.1. 
