Advertisement

Journal of Arid Land

, Volume 9, Issue 2, pp 256–269 | Cite as

Drought monitoring and reliability evaluation of the latest TMPA precipitation data in the Weihe River Basin, Northwest China

  • Shanhu Jiang
  • Liliang Ren
  • Meng Zhou
  • Bin Yong
  • Yu Zhang
  • Mingwei Ma
Article

Abstract

The high resolution satellite precipitation products bear great potential for large-scale drought monitoring, especially for those regions with sparsely or even without gauge coverage. This study focuses on utilizing the latest Version-7 TRMM Multi-satellite Precipitation Analysis (TMPA 3B42V7) data for drought condition monitoring in the Weihe River Basin (0.135×106 km2). The accuracy of the monthly TMPA 3B42V7 satellite precipitation data was firstly evaluated against the ground rain gauge observations. The statistical characteristics between a short period data series (1998–2013) and a long period data series (1961–2013) were then compared. The TMPA 3B42V7-based SPI (Standardized Precipitation Index) sequences were finally validated and analyzed at various temporal scales for assessing the drought conditions. The results indicate that the monthly TMPA 3B42V7 precipitation is in a high agreement with the rain gauge observations and can accurately capture the temporal and spatial characteristics of rainfall within the Weihe River Basin. The short period data can present the characteristics of long period record, and it is thus acceptable to use the short period data series to estimate the cumulative probability function in the SPI calculation. The TMPA 3B42V7-based SPI matches well with that based on the rain gauge observations at multiple time scales (i.e., 1-, 3-, 6-, 9-, and 12-month) and can give an acceptable temporal distribution of drought conditions. It suggests that the TMPA 3B42V7 precipitation data can be used for monitoring the occurrence of drought in the Weihe River Basin.

Keywords

TMPA satellite precipitation drought monitoring SPI Weihe River Basin 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgments

This study was jointly supported by the National Key Research and Development Program approved by Ministry of Science and Technology, China (2016YFA0601504), the Program of Introducing Talents of Discipline to Universities by the Ministry of Education and the State Administration of Foreign Experts Affairs, China (B08048), the National Natural Science Foundation of China (41501017, 51579066) and the Natural Science Foundation of Jiangsu Province (BK20150815).

References

  1. Bartier P M, Keller C P. 1996. Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW). Computers & Geosciences, 22(7): 795–799.CrossRefGoogle Scholar
  2. Chen Y J, Ebert E E, Walsh K J E, et al. 2013. Evaluation of TRMM 3B42 precipitation estimates of tropical cyclone rainfall using PACRAIN data. Journal of Geophysical Research: Atmospheres, 118(5): 2184–2196.Google Scholar
  3. Ebert E E, Janowiak J E, 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.CrossRefGoogle Scholar
  4. Hayes M J, Svoboda M D, Wilhite D A, et al. 1999. Monitoring the 1996 drought using the standardized precipitation index. Bulletin of the American Meteorological Society, 80(3): 429–438.CrossRefGoogle Scholar
  5. Hou A Y, Kakar R K, Neeck S, et al. 2014. The global precipitation measurement mission. Bulletin of the American Meteorological Society, 95(5): 701–722.CrossRefGoogle Scholar
  6. Huang S Z, Chang J X, Huang Q, et al. 2014. Spatio-temporal changes and frequency analysis of drought in the Wei River basin, China. Water Resources Management, 28(10): 3095–3110.CrossRefGoogle Scholar
  7. Huffman G J, Bolvin D T, Nelkin E J, et al. 2007. The TRMM Multisatellite Precipitation Analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. Journal of Hydrometeorology, 8(1): 38–55.CrossRefGoogle Scholar
  8. Huffman G J, Bolvin D T. 2013. Real-time TRMM multi-satellite precipitation analysis data set documentation. [2015-06-17]. ftp://meso-a.gsfc.nasa.gov/pub/trmmdocs/rt/3B4XRT_doc_V7.pdf.Google Scholar
  9. Jiang S H, Ren L L, Yong B, et al. 2010. Evaluation of high-resolution satellite precipitation products with surface rain gauge observations from Laohahe Basin in northern China. Water Science and Engineering, 3(4): 405–417.Google Scholar
  10. Jiang S H, Ren L L, Hong Y, 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, 452–453: 213–225.CrossRefGoogle Scholar
  11. Jiang S H, Ren L L, Hong Y, et al. 2014. Improvement of multi-satellite real-time precipitation products for ensemble streamflow simulation in a middle latitude basin in South China. Water Resources Management, 28(8): 2259–2278.CrossRefGoogle Scholar
  12. Jiang S H, Ren L L, Yong B, et al. 2016. Evaluation of latest TMPA and CMORPH precipitation products with independent rain gauge observation networks over high-latitude and low-latitude basins in China. Chinese Geographical Science, 26(4): 439–455.CrossRefGoogle Scholar
  13. Jun X, Chen Y Q. 2001. Water problems and opportunities in the hydrological sciences in China. Hydrological Sciences Journal, 46(6): 907–921.CrossRefGoogle Scholar
  14. Kucera P A, Ebert E E, Turk F J, et al. 2013. Precipitation from space: advancing earth system science. Bulletin of the American Meteorological Society, 94(3): 365–375.CrossRefGoogle Scholar
  15. Li X H, Zhang Q, Ye X C. 2013a. Dry/wet conditions monitoring based on TRMM rainfall data and its reliability validation over Poyang Lake Basin, China. Water, 5(4): 1848–1864.Google Scholar
  16. Li X H, Zhang Q, Ye X C. 2013b. Capabilities of satellite-based precipitation to estimate the spatiotemporal variation of flood/drought class in Poyang Lake Basin. Advances in Meteorology, 2013: 901240.Google Scholar
  17. Liu X F, Zhu X F, Pan Y Z, et al. 2016. Agricultural drought monitoring: Progress, challenges, and prospects. Journal of Geographical Sciences, 26(6): 750–767.CrossRefGoogle Scholar
  18. Liu Z. 2016. Comparison of integrated multisatellite retrievals for GPM (IMERG) and TRMM multisatellite precipitation analysis (TMPA) monthly precipitation products: initial results. Journal of Hydrometeorology, 17(3): 777–790.CrossRefGoogle Scholar
  19. McKee T B, Doesken N J, Kleist J. 1993. The relationship of drought frequency and duration to time scales. In: Paper Presented at 8th Conference on Applied Climatology. Anaheim, CA, American Meteorology Society, 174–184.Google Scholar
  20. Meng J, Li L, Hao Z C, et al. 2014. Suitability of TRMM satellite rainfall in driving a distributed hydrological model in the source region of Yellow River. Journal of Hydrology, 509: 320–332.CrossRefGoogle Scholar
  21. Ministry of Water Resources of the People’s Republic of China. 2014. Bulletin of Flood and Drought Disasters in China, 2013. Beijing: China Water Power Press, 37–38. (in Chinese)Google Scholar
  22. Mishra A K, Singh V P. 2010. A review of drought concepts. Journal of Hydrology, 391(1–2): 202–216.CrossRefGoogle Scholar
  23. Naumann G, Barbosa P, Carrao H, et al. 2012. Monitoring drought conditions and their uncertainties in Africa using TRMM data. Journal of Applied Meteorology and Climatology, 51(10): 1867–1874.CrossRefGoogle Scholar
  24. Nijssen B, Shukla S, Lin C Y, et al. 2014. A prototype global drought information system based on multiple land surface models. Journal of Hydrometeorology, 15(4): 1661–1676.CrossRefGoogle Scholar
  25. Sahoo A K, Sheffield J, Pan M, et al. 2015. Evaluation of the tropical rainfall measuring mission multi-satellite precipitation analysis (TMPA) for assessment of large-scale meteorological drought. Remote Sensing of Environment, 159: 181–193.CrossRefGoogle Scholar
  26. Sheffield J, Wood E F, Roderick M L. 2012. Little change in global drought over the past 60 years. Nature, 491(7424): 435–438.CrossRefGoogle Scholar
  27. Tang G Q, Zeng Z Y, Long D, et al. 2016. Statistical and hydrological comparisons between TRMM and GPM level-3 products over a midlatitude basin: is day-1 IMERG a good successor for TMPA 3B42V7?. Journal of Hydrometeorology, 17(1): 121–137.CrossRefGoogle Scholar
  28. Tao H, Fischer T, Zeng Y, et al. 2016. Evaluation of TRMM 3B43 precipitation data for drought monitoring in Jiangsu Province, China. Water, 8(6): 221.CrossRefGoogle Scholar
  29. Vernimmen R R E, Hooijer A, Mamenun, et al. 2012. Evaluation and bias correction of satellite rainfall data for drought monitoring in Indonesia. Hydrology and Earth System Sciences, 16(1): 133–146.CrossRefGoogle Scholar
  30. Worqlul A W, Maathuis B, Adem A A, et al. 2014. Comparison of rainfall estimations by TRMM 3B42, MPEG and CFSR with ground-observed data for the Lake Tana basin in Ethiopia. Hydrology and Earth System Sciences, 18(12): 4871–4881.CrossRefGoogle Scholar
  31. 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.CrossRefGoogle Scholar
  32. 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: Atmospheres, 117(D9): D09108.CrossRefGoogle Scholar
  33. 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.CrossRefGoogle Scholar
  34. Zeng H W, Li L J, Li J Y. 2012. The evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) in drought monitoring in the Lancang river basin. Journal of Geographical Sciences, 22(2): 273–282.CrossRefGoogle Scholar
  35. Zhang Q, Xu C Y, Zhang Z X. 2009. Observed changes of drought/wetness episodes in the Pearl River basin, China, using the standardized precipitation index and aridity index. Theoretical and Applied Climatology, 98(1–2): 89–99.CrossRefGoogle Scholar
  36. Zhang Y, Hong Y, Wang X G, et al. 2014. Hydrometeorological analysis and remote sensing of extremes: was the July 2012 Beijing flood event detectable and predictable. Journal of Hydrometeorology, 16(1): 381–395.CrossRefGoogle Scholar
  37. Zhou T, Nijssen B, Huffman G J, et al. 2014. Evaluation of real-time satellite precipitation data for global drought monitoring. Journal of Hydrometeorology, 15(4): 1651–1660.CrossRefGoogle Scholar
  38. Zuo D P, Xu Z X, Wu W, et al. 2014. Identification of streamflow response to climate change and human activities in the Wei River Basin, China. Water Resources Management, 28(3): 833–851.CrossRefGoogle Scholar

Copyright information

© Xinjiang Institute of Ecology and Geography, the Chinese Academy of Sciences and Springer - Verlag GmbH 2017

Authors and Affiliations

  • Shanhu Jiang
    • 1
  • Liliang Ren
    • 1
  • Meng Zhou
    • 1
  • Bin Yong
    • 1
  • Yu Zhang
    • 2
  • Mingwei Ma
    • 3
  1. 1.State Key Laboratory of Hydrology-Water Resources and Hydraulic EngineeringHohai UniversityNanjingChina
  2. 2.Department of Civil and Environmental EngineeringPrinceton UniversityPrincetonUSA
  3. 3.School of Water ConservancyNorth China University of Water Resources and Electric PowerZhengzhouChina

Personalised recommendations