Error analysis of multi-satellite precipitation estimates with an independent raingauge observation network over a medium-sized humid basin

References

• Adler, R. F., et al., 2003. The Version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979–present). Journal of Hydrometeorology, 4 (6), 1147–1167. doi:10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2
   Web of Science ®Google Scholar
• Anagnostou, E. N., 2007. Assessment of satellite rain retrieval error propagation in the prediction of land surface hydrologic variables. In: V. Levizzani, P. Bauer, and F. J. Turk, eds. Measuring precipitation from space. Netherlands: Springer, 357–368.
   Google Scholar
• Ashouri, H., et al., 2015. PERSIANN-CDR: daily precipitation climate data record from multi-satellite observations for hydrological and climate studies. Bulletin of the American Meteorological Society, 96, 69–83. doi:10.1175/BAMS-D-13-00068.1
   Web of Science ®Google Scholar
• Chen, S., et al., 2013a. Similarity and difference of the two successive V6 and V7 TRMM multisatellite precipitation analysis performance over China. Journal of Geophysical Research: Atmospheres, 118 (23), 13060–13074.
   Web of Science ®Google Scholar
• Chen, S., et al., 2013b. Performance evaluation of radar and satellite rainfalls for Typhoon Morakot over Taiwan: Are remote-sensing products ready for gauge denial scenario of extreme events? Journal of Hydrology, 506 (0), 4–13. doi:10.1016/j.jhydrol.2012.12.026
   Web of Science ®Google Scholar
• Cheng, H. Q., 2004. Spatial variation, causes and forecasting models of storm events in the Huai River basin. Thesis (Master). Chinese Academy of Meteorological Sciences: Beijing, China.
   Google Scholar
• Chiu, L. S., et al., 2006. Comparison of TRMM and water district rain rates over New Mexico. Advances in Atmospheric Sciences, 23 (1), 1–13. doi:10.1007/s00376-006-0001-x
   Web of Science ®Google Scholar
• Chokngamwong, R. and Chiu, L. S., 2008. Thailand daily rainfall and comparison with TRMM products. Journal of Hydrometeorology, 9 (2), 256–266. doi:10.1175/2007JHM876.1
   Web of Science ®Google Scholar
• Clarke, R. T., Bulhoes Mendes, C. A., and Costa Buarque, D., 2010. A comparison of extreme rainfall characteristics in the Brazilian Amazon derived from two gridded data sets and a national rain gauge network. Journal of Geophysical Research: Atmospheres, 115 (D13), D13104. doi:10.1029/2009JD013217
   Web of Science ®Google Scholar
• Dinku, T., et al., 2009. Validation and intercomparison of satellite rainfall estimates over Colombia. Journal of Applied Meteorology and Climatology, 49 (5), 1004–1014. doi:10.1175/2009JAMC2260.1
   Web of Science ®Google Scholar
• Dinku, T., Connor, S., and Ceccato, P., 2010. Comparison of CMORPH and TRMM-3B42 over mountainous regions of Africa and South America. In: M. Gebremichael and F. Hossain, eds. Satellite rainfall applications for surface hydrology. New York: Springer Netherlands, 193–204.
   Google Scholar
• Ebert, E. E., Janowiak, J. E., and Kidd, C., 2007. Comparison of near-real-time precipitation estimates from satellite observations and numerical models. Bulletin of the American Meteorological Society, 88 (1), 47–64. doi:10.1175/BAMS-88-1-47
   Web of Science ®Google Scholar
• Gourley, J. J., et al., 2010. Intercomparison of rainfall estimates from radar, satellite, gauge, and combinations for a season of record rainfall. Journal of Applied Meteorology and Climatology, 49 (3), 437–452. doi:10.1175/2009JAMC2302.1
   Web of Science ®Google Scholar
• Gourley, J. J., et al., 2011. Hydrologic evaluation of rainfall estimates from radar, satellite, gauge, and combinations on Ft. Cobb Basin, Oklahoma. Journal of Hydrometeorology, 12 (5), 973–988. doi:10.1175/2011JHM1287.1
   Web of Science ®Google Scholar
• Habib, E., et al., 2012. Evaluation of the high-resolution CMORPH satellite rainfall product using dense rain gauge observations and radar-based estimates. Journal of Hydrometeorology, 13 (6), 1784–1798. doi:10.1175/JHM-D-12-017.1
   Web of Science ®Google Scholar
• Habib, E., Henschke, A., and Adler, R. F., 2009. Evaluation of TMPA satellite-based research and real-time rainfall estimates during six tropical-related heavy rainfall events over Louisiana, USA. Atmospheric Research, 94 (3), 373–388. doi:10.1016/j.atmosres.2009.06.015
   Web of Science ®Google Scholar
• Hong, Y., et al., 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
   Web of Science ®Google Scholar
• Hossain, F., et al., 2004. Hydrological model sensitivity to parameter and radar rainfall estimation uncertainty. Hydrological Processes, 18 (17), 3277–3291. doi:10.1002/hyp.5659
   Web of Science ®Google Scholar
• Hossain, F., Anagnostou, E. N., and Bagtzoglou, A. C., 2006. On Latin Hypercube sampling for efficient uncertainty estimation of satellite rainfall observations in flood prediction. Computers & Geosciences, 32 (6), 776–792. doi:10.1016/j.cageo.2005.10.006
   Web of Science ®Google Scholar
• Hossain, F. and Huffman, G. J., 2008. Investigating error metrics for satellite rainfall data at hydrologically relevant scales. Journal of Hydrometeorology, 9 (3), 563–575. doi:10.1175/2007JHM925.1
   Web of Science ®Google Scholar
• Huai River Commission, Ministry of Water Resources, 1999. Atlas of Huai River Basin. Beijing: Science Press.
   Google Scholar
• Huffman, G. J., et al. 2011, Highlights of Version 7 TRMM Multi-satellite Precipitation Analysis (TMPA). In: C. Klepp and G. Huffman eds. 5th Internat. Precip. Working Group Workshop, Workshop Program and Proceedings, 11–15 October 2010, Hamburg, Germany: Reports on Earth Sys. Sci., 100/2011, Max-Planck-Institut für Meteorologie, ISSN 1614-1199, 109–110.
   Google Scholar
• Huffman, G. J. and Bolvin, D. T., 2014. Real-time TRMM multi-satellite precipitation analysis data set documentation [online]. Washington, DC, NASA Goddard Space Flight Center. Available from: ftp://meso-a.gsfc.nasa.gov/pub/trmmdocs/rt/3B4XRT_doc_V7.pdf. [ Accessed 25 May 2014].
   Google Scholar
• Jiang, S. H., et al., 2011. Quantifying the effects of climate variability and human activities on runoff from the Laohahe basin in northern China using three different methods. Hydrological Processes, 25 (16), 2492–2505. doi:10.1002/hyp.8002
   Web of Science ®Google Scholar
• Jiang, S. H., et al., 2012. Comprehensive evaluation of multi-satellite precipitation products with a dense rain gauge network and optimally merging their simulated hydrological flows using the Bayesian model averaging method. Journal of Hydrology, 452 (0), 213–225. doi:10.1016/j.jhydrol.2012.05.055
   Web of Science ®Google Scholar
• Joyce, R. J., et al., 2004. CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. Journal of Hydrometeorology, 5 (3), 487–503. doi:10.1175/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2
   Web of Science ®Google Scholar
• Kubota, T., et al., 2007. Global precipitation map using satellite-borne microwave radiometers by the GSMaP project: production and validation. Geoscience and Remote Sensing, IEEE Transactions on, 45 (7), 2259–2275. doi:10.1109/TGRS.2007.895337
   Web of Science ®Google Scholar
• Li, Z., Yang, D., and Hong, Y., 2013. Multi-scale evaluation of high-resolution multi-sensor blended global precipitation products over the Yangtze River. Journal of Hydrology, 500 (0), 157–169. doi:10.1016/j.jhydrol.2013.07.023
   Web of Science ®Google Scholar
• Nicholson, S. E., et al., 2003. Validation of TRMM and other rainfall estimates with a high-density gauge dataset for West Africa. Part II: Validation of TRMM rainfall products. Journal of Applied Meteorology, 42 (10), 1355–1368. doi:10.1175/1520-0450(2003)042<1355:VOTAOR>2.0.CO;2
   Google Scholar
• Pan, M., Li, H., and Wood, E., 2010. Assessing the skill of satellite-based precipitation estimates in hydrologic applications. Water Resources Research, 46 (9), W09535. doi:10.1029/2009WR008290
   Web of Science ®Google Scholar
• Serpetzoglou, E., et al., 2010. Error propagation of remote sensing rainfall estimates in soil moisture prediction from a Land Surface Model. Journal of Hydrometeorology, 11 (3), 705–720. doi:10.1175/2009JHM1166.1
   Web of Science ®Google Scholar
• Shen, Y., et al., 2010. Performance of high-resolution satellite precipitation products over China. Journal of Geophysical Research: Atmospheres, 115 (D2), D02114. doi:10.1029/2009JD012097
   Web of Science ®Google Scholar
• Shen, Y., et al., 2014. A high spatiotemporal gauge-satellite merged precipitation analysis over China. Journal of Geophysical Research: Atmospheres, 119 (6), 2013JD020686.
   Web of Science ®Google Scholar
• Sorooshian, S., et al., 2000. Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. Bulletin of the American Meteorological Society, 81 (9), 2035–2046. doi:10.1175/1520-0477(2000)081<2035:EOPSSE>2.3.CO;2
   Web of Science ®Google Scholar
• Sorooshian, S., et al., 2011. Advanced concepts on remote sensing of precipitation at multiple scales. Bulletin of the American Meteorological Society, 92 (10), 1353–1357. doi:10.1175/2011BAMS3158.1
   Web of Science ®Google Scholar
• Steiner, M., et al., 2003. Comparison of two methods for estimating the sampling-related uncertainty of satellite rainfall averages based on a large radar dataset. Journal of Climate, 16 (22), 3759–3778. doi:10.1175/1520-0442(2003)016<3759:COTMFE>2.0.CO;2
   Web of Science ®Google Scholar
• Svensson, C. and Rakhecha, P. R., 1998. Estimation of probable maximum precipitation for dams in the Hongru River catchment, China. Theoretical and Applied Climatology, 59 (1–2), 79–91. doi:10.1007/s007040050014
   Web of Science ®Google Scholar
• Tian, Y., et al., 2007. Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation applications. Journal of Hydrometeorology, 8 (6), 1165–1183. doi:10.1175/2007JHM859.1
   Web of Science ®Google Scholar
• Tian, Y., et al., 2010. Evaluation of GSMaP precipitation estimates over the contiguous United States. Journal of Hydrometeorology, 11 (2), 566–574. doi:10.1175/2009JHM1190.1
   Web of Science ®Google Scholar
• Turk, F. J., et al., 2008. Evaluating high-resolution precipitation products. Bulletin of the American Meteorological Society, 89 (12), 1911–1916. doi:10.1175/2008BAMS2652.1
   Web of Science ®Google Scholar
• Turk, F. J. and Miller, S. D., 2005. Toward improved characterization of remotely sensed precipitation regimes with MODIS/AMSR-E blended data techniques. Geoscience and Remote Sensing, IEEE Transactions on, 43 (5), 1059–1069. doi:10.1109/TGRS.2004.841627
   Web of Science ®Google Scholar
• Ward, E., et al., 2011. Evaluation of precipitation products over complex mountainous terrain: A water resources perspective. Advances in Water Resources, 34 (10), 1222–1231. doi:10.1016/j.advwatres.2011.05.007
   Web of Science ®Google Scholar
• Wilks, D. S., 2006. Statistical methods in the atmospheric sciences. 2nd ed. New York: Academic press.
   Google Scholar
• Ye, J., et al., 2014. Evaluation of ECMWF medium-range ensemble forecasts of precipitation for river basins. Quarterly Journal of the Royal Meteorological Society, 140 (682), 1615–1628. doi:10.1002/qj.2243
   Web of Science ®Google Scholar
• Yong, B., et al., 2010. Hydrologic evaluation of multisatellite precipitation analysis standard precipitation products in basins beyond its inclined latitude band: a case study in Laohahe basin, China. Water Resources Research, 46 (7), W07542. doi:10.1029/2009WR008965
   Web of Science ®Google Scholar
• Yong, B., et al., 2012. Assessment of evolving TRMM-based multisatellite real-time precipitation estimation methods and their impacts on hydrologic prediction in a high latitude basin. Journal of Geophysical Research: Atmospheres, 117 (D9), D09108. doi:10.1029/2011JD017069
   Web of Science ®Google Scholar
• Yong, B., et al., 2013. Spatial–temporal changes of water resources in a typical semiarid basin of North China over the past 50 years and assessment of possible natural and socioeconomic causes. Journal of Hydrometeorology, 14 (4), 1009–1034. doi:10.1175/JHM-D-12-0116.1
   Web of Science ®Google Scholar
• Yong, B., et al., 2014. Intercomparison of the Version-6 and Version-7 TMPA precipitation products over high and low latitudes basins with independent gauge networks: Is the newer version better in both real-time and post-real-time analysis for water resources and hydrologic extremes? Journal of Hydrology, 508 (0), 77–87.
   Web of Science ®Google Scholar
• Yong, B., et al., 2015. Global view of real-time TRMM multi-satellite precipitation analysis: implication to its successor global precipitation measurement mission. Bulletin of American Meteorological Society, 96, 283–296. doi:10.1175/BAMS-D-14-00017.1
   Web of Science ®Google Scholar
• Zulkafli, Z., et al., 2013. A comparative performance analysis of TRMM 3B42 (TMPA) Versions 6 and 7 for hydrological applications over Andean–Amazon River basins. Journal of Hydrometeorology, 15 (2), 581–592. doi:10.1175/JHM-D-13-094.1
   Web of Science ®Google Scholar