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Article Navigation >  Chinese Geographical Science  > 2016  >  26(4): 439-455

JIANG Shanhu, REN Liliang, YONG Bin, HONG Yang, YANG Xiaoli, YUAN Fei. Evaluation of Latest TMPA and CMORPH Precipitation Products with Independent Rain Gauge Observation Networks over High-latitude and Low-latitude Basins in China[J]. Chinese Geographical Science, 2016, 26(4): 439-455. doi: 10.1007/s11769-016-0818-x
Citation: JIANG Shanhu, REN Liliang, YONG Bin, HONG Yang, YANG Xiaoli, YUAN Fei. Evaluation of Latest TMPA and CMORPH Precipitation Products with Independent Rain Gauge Observation Networks over High-latitude and Low-latitude Basins in China[J]. Chinese Geographical Science, 2016, 26(4): 439-455. doi: 10.1007/s11769-016-0818-x
shu

Evaluation of Latest TMPA and CMORPH Precipitation Products with Independent Rain Gauge Observation Networks over High-latitude and Low-latitude Basins in China

doi: 10.1007/s11769-016-0818-x
  • 1.

    State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;

  • 2.

    School of Civil Engineering and Environmental Sciences, School of Meteorology, University of Oklahoma, Oklahoma 73019, USA

Funds:  Under the auspices of Programme of Introducing Talents of Discipline to Universities by Ministry of Education and the State Administration of Foreign Experts Affairs, China (the 111 Project, No. B08048), National Natural Science Foundation of China (No. 41501017), Natural Science Foundation of Jiangsu Province (No. BK20150815)
More Information
  • Corresponding author: REN Liliang
  • Received Date: 2015-06-18
  • Rev Recd Date: 2015-09-23
  • Publish Date: 2016-08-27
  • The Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) and National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center (CPC) morphing technique (CMORPH) are two important multi-satellite precipitation products in TRMM-era and perform important functions in GPM-era. Both TMPA and CMORPH systems simultaneously upgraded their retrieval algorithms and released their latest version of precipitation data in 2013. In this study, the latest TMPA and CMORPH products (i.e., Version-7 real-time TMPA (T-rt) and gauge-adjusted TMPA (T-adj), and Version-1.0 real-time CMORPH (C-rt) and Version-1.0 gauge-adjusted CMORPH (C-adj)) are evaluated and intercompared by using independent rain gauge observations for a 12-year (2000-2011) period over two typical basins in China with different geographical and climate conditions. Results indicate that all TMPA and CMORPH products tend to overestimate precipitation for the high-latitude semiarid Laoha River Basin and underestimate it for the low-latitude humid Mishui Basin. Overall, the satellite precipitation products exhibit superior performance over Mishui Basin than that over Laoha River Basin. The C-adj presents the best performance over the high-latitude Laoha River Basin, whereas T-adj showed the best performance over the low-latitude Mishui Basin. The two gauge-adjusted products demonstrate potential in water resource management. However, the accuracy of two real-time satellite precipitation products demonstrates large variability in the two validation basins. The C-rt reaches a similar accuracy level with the gauge-adjusted satellite precipitation products in the high-latitude Laoha River Basin, and T-rt performs well in the low-latitude Mishui Basin. The study also reveals that all satellite precipitation products obviously overestimate light rain amounts and events over Laoha River Basin, whereas they underestimate the amount and events over Mishui Basin. The findings of the precision characteristics associated with the latest TMPA and CMORPH precipitation products at different basins will offer satellite precipitation users an enhanced understanding of the applicability of the latest TMPA and CMORPH for water resource management, hydrologic process simulation, and hydrometeorological disaster prediction in other similar regions in China. The findings will also be useful for IMERG algorithm development and update in GPM-era.
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    [21] Li Z, Yang D W, Hong Y, 2013. Multi-scale evaluation of high-resolution multi-sensor blended global precipitation products over the Yangtze River. Journal of Hydrology, 500:157-169.doi: 10.1016/j.jhydrol.2013.07.023
    [22] Liu J Z, Duan Z, Jiang J C et al., 2014. Evaluation of three satellite precipitation products TRMM 3B42, CMORPH, and PERSIANN over a subtropical watershed in China. Advance in Meteorology, 151239.doi: org/10.1155/2015/151239
    [23] Pan M, Li H, Wood E, 2010.Assessing the skill of satellite based precipitation estimates in hydrologic applications. Water Resources Research, 46(9):W09535.doi: 10.1029/2009WR008290
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    [25] Shen Y, Xiong A Y, Wang Y et al., 2010.Performance of high-resolution satellite precipitation products over China. Journal of Geophysical Research, 115(D2):D02114.doi: 10.1029/2009JD012097
    [26] Shen Y, Zhao P, Pan Y et al., 2014. A high spatiotemporal gaugesatellite merged precipitation analysis over China. Journal of Geophysical Research, 119(6):3063-3075.doi: 10.1002/2013JD020686
    [27] Su F G, Hong Y, Lettenmaier D P et al., 2008. Evaluation of TRMM Multi-satellite Precipitation Analysis (TMPA) and its utility in hydrologic prediction in La Plata Basin. Journal of Hydrometeorology, 9(4):622-640.doi:org/10.1175/2007 JHM944.1
    [28] Tong K, Su F G, Yang D et al., 2014. Evaluation of satellite precipitation retrievals and their potential utilities in hydrologic modeling over the Tibetan Plateau. Journal of Hydrology, 519:423-437.doi: 10.1016/j.jhydrol.2014.07.044
    [29] Wu H, Adler R F, Tian Y D et al., 2014. Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model. Water Resources Research, 50(3):2693-2717.doi: 10.1002/2013WR014710.
    [30] Xie P P, 2013. CMORPH_V1.0_README.ftp://ftp.cpc.ncep.noaa.gov/precip/CMORPH_V1.0
    [31] Xue X W, Hong Y, Limaye A S et al, 2013. Statistical and hydrological evaluation of TRMM-based Multi-satellite Precipita tion Analysis over the Wangchu Basin of Bhutan:are the latest satellite precipitation products 3B42V7 ready for use in ungauged basins? Journal of Hydrology, 499:91-99.doi: 10.1016/j.jhydrol.2013.06.042
    [32] Yong B, Chen B, Gourley J J 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, 508:77-87.doi: 10.1016/j.jhydrol.2013.10.050
    [33] Yong B, Hong Y, Ren L L 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, 117(9):D09108.doi: 10.1029/2011JD017069BAMS-D-11-00171.1
    [34] Li X H, Zhang Q, Xu C Y, 2014. Assessing the performance of satellite-based precipitation products and its dependence on topography over Poyang Lake Basin. Theoretical and Applied Climatology, 115(3): 713-729. doi:  10.1007/s00704-013-0917-x
    [35] Li Z, Yang D W, Hong Y, 2013. Multi-scale evaluation of high-resolution multi-sensor blended global precipitation products over the Yangtze River. Journal of Hydrology, 500: 157-169. doi:  10.1016/j.jhydrol.2013.07.023
    [36] Liu J Z, Duan Z, Jiang J C et al., 2014. Evaluation of three satellite precipitation products TRMM 3B42, CMORPH, and PERSIANN over a subtropical watershed in China. Advance in Meteorology, 151239. doi:  org/10.1155/2015/151239
    [37] Pan M, Li H, Wood E, 2010. Assessing the skill of satellite based precipitation estimates in hydrologic applications. Water Resources Research, 46(9): W09535. doi: 10.1029/2009WR 008290
    [38] Qin Y X, Chen Z Q, Shen Y et al., 2014. Evaluation of satellite rainfall estimates over the Chinese Mainland. Remote Sensing, 6(11): 11649-11672. doi:  10.3390/rs61111649
    [39] Shen Y, Xiong A Y, Wang Y et al., 2010. Performance of high-resolution satellite precipitation products over China. Journal of Geophysical Research, 115(D2): D02114. doi:  10.1029/2009JD012097
    [40] Shen Y, Zhao P, Pan Y et al., 2014. A high spatiotemporal gauge-satellite merged precipitation analysis over China. Journal of Geophysical Research, 119(6): 3063-3075. doi: 10. 1002/ 2013JD020686
    [41] Su F G, Hong Y, Lettenmaier D P et al., 2008. Evaluation of TRMM Multi-satellite Precipitation Analysis (TMPA) and its utility in hydrologic prediction in La Plata Basin. Journal of Hydrometeorology, 9(4): 622-640. doi: org/10.1175/2007 JHM944.1
    [42] Tong K, Su FG, Yang D et al., 2014. Evaluation of satellite precipitation retrievals and their potential utilities in hydrologic modeling over the Tibetan Plateau. Journal of Hydrology, 519: 423-437. doi:  10.1016/j.jhydrol.2014.07.044
    [43] Wu H, Adler R F, Tian Y D et al., 2014. Real-time global flood estimation using satellite-based precipitation and a coupled land surface and routing model. Water Resources Research, 50(3): 2693-2717. doi:  10.1002/2013WR014710.
    [44] Xie P P, 2013. CMORPH_V1.0_README. ftp://ftp.cpc.ncep. noaa.gov/precip/CMORPH_V1.0
    [45] Xue X W, Hong Y, Limaye A S et al, 2013. 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, 499: 91-99. doi: 10. 1016/j.jhydrol.2013.06.042
    [46] Yong B, Chen B, Gourley J J 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: 77-87. doi: 10.1016/j. jhydrol.2013.10.050
    [47] Yong B, Hong Y, Ren L L 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, 117(9): D09108. doi:  10.1029/2011JD017069
    [48]  
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Evaluation of Latest TMPA and CMORPH Precipitation Products with Independent Rain Gauge Observation Networks over High-latitude and Low-latitude Basins in China

doi: 10.1007/s11769-016-0818-x
  • 1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China;
  • 2. School of Civil Engineering and Environmental Sciences, School of Meteorology, University of Oklahoma, Oklahoma 73019, USA
Funds:  Under the auspices of Programme of Introducing Talents of Discipline to Universities by Ministry of Education and the State Administration of Foreign Experts Affairs, China (the 111 Project, No. B08048), National Natural Science Foundation of China (No. 41501017), Natural Science Foundation of Jiangsu Province (No. BK20150815)
    Corresponding author: REN Liliang
  • Received Date: 2015-06-18
  • Rev Recd Date: 2015-09-23
  • Publish Date: 2016-08-27

Abstract: The Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) and National Oceanic and Atmospheric Administration (NOAA) Climate Prediction Center (CPC) morphing technique (CMORPH) are two important multi-satellite precipitation products in TRMM-era and perform important functions in GPM-era. Both TMPA and CMORPH systems simultaneously upgraded their retrieval algorithms and released their latest version of precipitation data in 2013. In this study, the latest TMPA and CMORPH products (i.e., Version-7 real-time TMPA (T-rt) and gauge-adjusted TMPA (T-adj), and Version-1.0 real-time CMORPH (C-rt) and Version-1.0 gauge-adjusted CMORPH (C-adj)) are evaluated and intercompared by using independent rain gauge observations for a 12-year (2000-2011) period over two typical basins in China with different geographical and climate conditions. Results indicate that all TMPA and CMORPH products tend to overestimate precipitation for the high-latitude semiarid Laoha River Basin and underestimate it for the low-latitude humid Mishui Basin. Overall, the satellite precipitation products exhibit superior performance over Mishui Basin than that over Laoha River Basin. The C-adj presents the best performance over the high-latitude Laoha River Basin, whereas T-adj showed the best performance over the low-latitude Mishui Basin. The two gauge-adjusted products demonstrate potential in water resource management. However, the accuracy of two real-time satellite precipitation products demonstrates large variability in the two validation basins. The C-rt reaches a similar accuracy level with the gauge-adjusted satellite precipitation products in the high-latitude Laoha River Basin, and T-rt performs well in the low-latitude Mishui Basin. The study also reveals that all satellite precipitation products obviously overestimate light rain amounts and events over Laoha River Basin, whereas they underestimate the amount and events over Mishui Basin. The findings of the precision characteristics associated with the latest TMPA and CMORPH precipitation products at different basins will offer satellite precipitation users an enhanced understanding of the applicability of the latest TMPA and CMORPH for water resource management, hydrologic process simulation, and hydrometeorological disaster prediction in other similar regions in China. The findings will also be useful for IMERG algorithm development and update in GPM-era.

JIANG Shanhu, REN Liliang, YONG Bin, HONG Yang, YANG Xiaoli, YUAN Fei. Evaluation of Latest TMPA and CMORPH Precipitation Products with Independent Rain Gauge Observation Networks over High-latitude and Low-latitude Basins in China[J]. Chinese Geographical Science, 2016, 26(4): 439-455. doi: 10.1007/s11769-016-0818-x
Citation: JIANG Shanhu, REN Liliang, YONG Bin, HONG Yang, YANG Xiaoli, YUAN Fei. Evaluation of Latest TMPA and CMORPH Precipitation Products with Independent Rain Gauge Observation Networks over High-latitude and Low-latitude Basins in China[J]. Chinese Geographical Science, 2016, 26(4): 439-455. doi: 10.1007/s11769-016-0818-x
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