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Advances in Meteorology
Volume 2015, Article ID 151239, 13 pages
http://dx.doi.org/10.1155/2015/151239
Research Article

Evaluation of Three Satellite Precipitation Products TRMM 3B42, CMORPH, and PERSIANN over a Subtropical Watershed in China

1Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, 1 Wenyuan Road, Nanjing, Jiangsu 210023, China
2Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, 1 Wenyuan Road, Nanjing, Jiangsu 210023, China
3Delft University of Technology, 2628 CN Delft, The Netherlands
4State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
5Department of Geography, University of Wisconsin-Madison, Madison, WI 53706, USA

Received 28 June 2014; Revised 3 September 2014; Accepted 4 September 2014

Academic Editor: Eduardo García-Ortega

Copyright © 2015 Junzhi Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Z. Duan and W. G. M. Bastiaanssen, “First results from Version 7 TRMM 3B43 precipitation product in combination with a new downscaling-calibration procedure,” Remote Sensing of Environment, vol. 131, pp. 1–13, 2013. View at Publisher · View at Google Scholar · View at Scopus
  2. V. Thiemig, R. Rojas, M. Zambrano-Bigiarini, V. Levizzani, and A. de Roo, “Validation of satellite-based precipitation products over sparsely Gauged African River basins,” Journal of Hydrometeorology, vol. 13, no. 6, pp. 1760–1783, 2012. View at Publisher · View at Google Scholar · View at Scopus
  3. G. J. Huffman, R. F. Adler, D. T. Bolvin et al., “The TRMM Multisatellite Precipitation Analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales,” Journal of Hydrometeorology, vol. 8, no. 1, pp. 38–55, 2007. View at Publisher · View at Google Scholar · View at Scopus
  4. R. J. Joyce, J. E. Janowiak, P. A. Arkin et al., “CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution,” Journal of Hydrometeorology, vol. 5, no. 3, pp. 487–503, 2004. View at Google Scholar
  5. P. Xie, S. H. Yoo, R. J. Joyce et al., “Bias-Corrected CMORPH: A 13-Year Analysis of High-Resolution Global Precipitation,” 2011, http://ftp.cpc.ncep.noaa.gov/precip/CMORPH_V1.0/REF/EGU_1104_Xie_bias-CMORPH.pdf.
  6. K. L. Hsu, X. Gao, S. Sorooshian, and H. V. Gupta, “Precipitation estimation from remotely sensed information using artificial neural networks,” Journal of Applied Meteorology, vol. 36, no. 9, pp. 1176–1190, 1997. View at Google Scholar · View at Scopus
  7. S. Sorooshian, K.-L. Hsu, X. Gao, H. V. Gupta, B. Imam, and D. Braithwaite, “Evaluation of PERSIANN system satellite-based estimates of tropical rainfall,” Bulletin of the American Meteorological Society, vol. 81, no. 9, pp. 2035–2046, 2000. View at Google Scholar · View at Scopus
  8. X. Xue, Y. Hong, A. S. Limaye et al., “Statistical and hydrological evaluation of TRMM-based Multi-satellite Precipitation Analysis over the Wangchu Basin of Bhutan: are the latest satellite precipitation products 3B42V7 ready for use in ungauged basins?” Journal of Hydrology, vol. 499, pp. 91–99, 2013. View at Publisher · View at Google Scholar · View at Scopus
  9. D. Stampoulis, E. N. Anagnostou, and E. I. Nikolopoulos, “Assessment of high-resolution satellite-based rainfall estimates over the mediterranean during heavy precipitation events,” Journal of Hydrometeorology, vol. 14, no. 5, pp. 1500–1514, 2013. View at Publisher · View at Google Scholar · View at Scopus
  10. X.-H. Li, Q. Zhang, and C.-Y. Xu, “Suitability of the TRMM satellite rainfalls in driving a distributed hydrological model for water balance computations in Xinjiang catchment, Poyang lake basin,” Journal of Hydrology, vol. 426-427, pp. 28–38, 2012. View at Publisher · View at Google Scholar · View at Scopus
  11. Q. Hu, D. Yang, Z. Li, A. K. Mishra, Y. Wang, and H. Yang, “Multi-scale evaluation of six high-resolution satellite monthly rainfall estimates over a humid region in China with dense rain gauges,” International Journal of Remote Sensing, vol. 35, no. 4, pp. 1272–1294, 2014. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Liu, A. X. Zhu, and Z. Duan, “Evaluation of TRMM 3B42 precipitation product using rain gauge data in meichuan watershed, Poyang Lake Basin, China,” Journal of Resources and Ecology, vol. 3, no. 4, pp. 359–366, 2012. View at Google Scholar
  13. B. Yong, L.-L. Ren, Y. Hong et al., “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, vol. 46, no. 7, Article ID W07542, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. G. J. Huffman and D. T. Bolvin, “TRMM and Other Data Precipitation Data Set Documentation,” 2012, ftp://precip.gsfc.nasa.gov/pub/trmmdocs/3B42_3B43_doc.pdf.
  15. R. Grayson and G. Bloschl, Spatial Patterns in Catchment Hydrology: Observations and Modelling, Cambridge University Press, Cambridge, UK, 2001.
  16. Z. Duan, W. G. M. Bastiaanssen, and J. Z. Liu, “Monthly and annual validation of TRMM Mulitisatellite Precipitation Analysis (TMPA) products in the Caspian Sea Region for the period 1999–2003,” in Proceedings of the International Geoscience and Remote Sensing Symposium (IGARSS '12), pp. 3696–3699, Munich, Germany, July 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. S. H. Franchito, V. B. Rao, A. C. Vasques, C. M. E. Santo, and J. C. Conforte, “Validation of TRMM precipitation radar monthly rainfall estimates over Brazil,” Journal of Geophysical Research D: Atmospheres, vol. 114, no. 2, Article ID D02105, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. P. Xie and A.-Y. Xiong, “A conceptual model for constructing high-resolution gauge-satellite merged precipitation analyses,” Journal of Geophysical Research D: Atmospheres, vol. 116, no. 21, Article ID D21106, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. V. K. C. Venema, O. Mestre, E. Aguilar et al., “Benchmarking homogenization algorithms for monthly data,” Climate of the Past, vol. 8, no. 1, pp. 89–115, 2012. View at Publisher · View at Google Scholar · View at Scopus
  20. M. Li and Q. Shao, “An improved statistical approach to merge satellite rainfall estimates and raingauge data,” Journal of Hydrology, vol. 385, no. 1–4, pp. 51–64, 2010. View at Publisher · View at Google Scholar · View at Scopus
  21. K. J. Tobin and M. E. Bennett, “Adjusting satellite precipitation data to facilitate hydrologic modeling,” Journal of Hydrometeorology, vol. 11, no. 4, pp. 966–978, 2010. View at Publisher · View at Google Scholar · View at Scopus