GPM Refereed Publications
Tan, B.-Z, W. A. Petersen, and A. Tokay,
: A Novel Approach to Identify Sources of Errors in IMERG for GPM Ground Validation. J. Hydrometeor., 17, 121-137, doi:10.1175/JHM-D-16-0079.1.
Tan, C., D. T. McCoy, and G. S. Elsaesser,
: Constraints on Southern Ocean Shortwave Cloud Feedback from the Hydrological Cycle. JGR Atmospheres, , , doi:10.22541/essoar.170158311.16527130/v1.
Tan, I., M. J. Reeder, M. S. Singh, C. E. Birch, and S. C. Peatman,
: Wet and Dry Cold Surges Over the Maritime Continent. JGR Atmospheres, 128(12), e2022JD038196, doi:10.1029/2022JD038196.
Tan, J., and L. Oreopoulos,
: Subgrid Precipitation Properties of Mesoscale Atmospheric Systems Represented by MODIS Cloud Regimes. J. Climate, 32, 1797–1812, doi:10.1175/JCLI-D-18-0570.1.
Tan, J., G. J. Huffman, and Y. Song,
: Automated Quality Control Scheme for GPM Satellite Precipitation Products. Geophys. Res. Letts., 51(17), e2024GL108963, doi:10.1029/2024GL108963.
Tan, J., G. J. Huffman, D. T. Bolvin, and E. J. Nelkin,
: Diurnal Cycle of IMERG V06 Precipitation. Geophys. Res. Lett., 46, 13584–13592, doi:10.1029/2019GL085395.
Tan, J., G. J. Huffman, D. T. Bolvin, and E. J. Nelkin,
: IMERG V06: Changes to the Morphing Algorithm. J. Atmos. Oceanic Technol., 36, 2471–2482, doi:10.1175/JTECH-D-19-0114.1.
Tan, J., G. J. Huffman, D. T. Bolvin, E. J. Nelkin, and M. Rajagopal,
: SHARPEN: A Scheme to Restore the Distribution of Averaged Precipitation Fields. J. Hydrometeor., 22(8), 2105-2116, doi:10.1175/JHM-D-20-0225.1.
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., and Z. Duan,
: Assessment of GPM and TRMM Precipitation Products over Singapore. Rem. Sens., 9(7), 720, doi:10.3390/rs9070720.
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.
Tanelli, S., E. Peral, O.e O. Sy, G. F. Sacco, Z. S. Haddad, S. L. Durden, and S. Joshi,
: RainCube: How can a CubeSat radar see the structure of a storm?. Proceedings Volume 11131, CubeSats and SmallSats for Remote Sensing III, 11131, 1113106, doi:10.1117/12.2531150.
Tang, B. H., R. Rios-Berrios, and J. A. Zhang,
: Diagnosing Radial Ventilation in Dropsonde Observations of Hurricane Sam (2021). Mon. Wea. Rev., 152(8), 1725–1739, doi:10.1175/MWR-D-23-0224.1.
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., D. Long, Y. Hong, J. Gao, and W. Wan,
: Documentation of multifactorial relationships between precipitation and topography of the Tibetan Plateau using spaceborne precipitation radars. Remote Sensing of Environment, 208, 82-96, doi:10.1016/j.rse.2018.02.007.