TRMM Refereed Publications

Displaying 201 - 220 of 607 Total Publications
Hirose, M., Y. N. Takayabu, A. Hamada, S. Shige, and M. K. Yamamoto, 2017: Impact of long-term observation on the sampling characteristics of TRMM PR precipitation. J. Appl. Meteor. Climatol., 56, 713-723, doi:10.1175/JAMC-D-16-0115.1.
Hirose, M., Y. Takayabu, A. Hamada, S. Shige, and M. Yamamoto, 2016: Impact of long-term observation on the sampling characteristics of TRMM PR precipitation. J. Appl. Meteor. Climatol., doi:10.1175/JAMC-D-16-0115.1.
Hirota, N. and Y. N. Takayabu, 2012: Inter-model differences of future precipitation changes in CMIP3 and MIROC5 climate models. J. Meteor. Soc. Japan, 90A, 307-317,
Hirota, N., and Y. N. Takayabu, 2013: Reproducibility of precipitation distribution over the tropical oceans in CMIP5 multiclimate models compared to CMIP3. Climate Dynamics, 41, 2909-2920, doi:10.1007/s00382-013-1839-0.
Hirota, N., Y. N. Takayabu, M. Kato, and S. Arakane, 2016: Roles of an atmospheric river and a cutoff low in the extreme precipitation event in Hiroshima on 19 August 2014. Mon. Wea. Rev., 144, 1145-1160, doi:10.1175/MWR-D-15-0299.1.
Hirota, N., Y. N. Takayabu, M. Watanabe, M. Kimoto, and M. Chikira, 2014: Roles of convective entrainment in spatial distributions and temporal variations of precipitation. J. Climate, 27, 8707-8723, doi:10.1175/JCLI-D-13-00701.1.
Hirota, N., Y. N. Takayabu, M. Watanabe, M. Kimoto, and M. Chikira, 2011: Precipitation reproducibility over tropical oceans and its relationship to the double ITCZ problem in CMIP3 and MIROC5 climate models. J. Climate, 7, 4859-4873, doi:10.1175/2011JCLI4156.1.
Ho, C.-H., M.-S. Park, Y.-S. Choi, Y. N. Takayabu, 2008: Relationship between intraseasonal oscillation and diurnal variation of summer rainfall over the South China Sea. Geophys. Res. Lett., 35, L03701, doi:10.1029/2007GL031962.
Hong, Y., and H.-S. Lim, 1994: Evidence for Low-Frequency Waves of Tropical Rainfall Inferred from Microwave Brightness Temperature. Mon. Wea. Rev., 122, 1364-1370, doi:10.1175/1520-0493(1994)122<1364:EFLFWO>2.0.CO;2.
Hong, Y., and R. F. Adler, 2007: Estimation of global SCS curve numbers using satellite remote sensing and geospatial data. Int'l. J. Rem. Sen., 29(2), 471-477, doi:10.1080/01431160701264292.
Hong, Y., C. D. Kummerow, and W. S. Olson, 1999: Separation of Convective and Stratiform Precipitation Using Microwave Brightness Temperature. J. Appl. Meteor., 38(8), 1195–1213, doi:10.1175/1520-0450(1999)038<1195:SOCASP>2.0.CO;2.
Hong, Y., J. L. Haferman, W. S. Olson, and C. D. Kummerow, 2000: Microwave Brightness Temperatures from Tilted Convective Systems. J. Appl. Meteor., 39(7), 983–998, doi:10.1175/1520-0450(2000)039<0983:MBTFTC>2.0.CO;2.
Hong, Y., K. L. Hsu, S. Sorooshian, and X. Gao, 2005: Improved representation of diurnal variability of rainfall retrieved from the Tropical Rainfall Measurement Mission Microwave Imager adjusted Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks (PERSIANN) system. J. Geophys. Res. Atmos., 110(D6), D06102, doi:10.1029/2004JD005301.
Hong, Y., K. L. Hsu, X. Gao, and S. Sorooshian, 2004: Precipitation Estimation from Remotely Sensed Imagery Using an Artificial Neural Network Cloud Classification System. J. Appl. Meteor., 43(12), 1834–1853, doi:10.1175/JAM2173.1.
Hong, Y., K.-L. Hsu, H. Moradkhani, and S. Sorooshian, 2006: Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response. Water Resources Research, 42(8), W08421, doi:10.1029/2005WR004398.
Hong, Y., R. Adler, and G. Huffman, 2006: Evaluation of the potential of NASA multi‐satellite precipitation analysis in global landslide hazard assessment. Geophys. Res. Letts., 33(22), L22402, doi:10.1029/2006GL028010.
Hong, Y., R. F. Adler, A. Negri, and G. J. Huffman, 2007: Flood and Landslide Applications of Near Real-time Satellite Rainfall Estimation. Natural Hazards, 43(2), 285-294, doi:10.1007/s11069-006-9106-x.
Hong, Y., R. F. Adler, and G. J. Huffman, 2007: An Experimental Global Prediction System for Rainfall-Triggered Landslides Using Satellite Remote Sensing and Geospatial Datasets. IEEE Trans. on Geosciences and Remote Sensing, 45(6), 1671-1680, doi:10.1109/TGRS.2006.888436.
Hong, Y., R. F. Adler, and J. Verdin, 2007: Use of 21st century satellite remote sensing technology in natural hazard analysis. Natural Hazards, 43(2), 165-166, doi:10.1007/s11069-007-9133-2.
Hong, Y., T. T. Wilheit, and W. R. Russell, 1997: Estimation of Monthly Rainfall over Oceans from Truncated Rain-Rate Samples: Application to SSM/I Data. J. Atmos. Oceanic Tech., 14(5), 1012–1022, doi:10.1175/1520-0426(1997)014<1012:EOMROO>2.0.CO;2.

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