| Research Article |
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| Drought monitoring and reliability evaluation of the latest TMPA precipitation data in the Weihe River Basin, Northwest China |
Shanhu JIANG1, Liliang REN1,*( ), Meng ZHOU1, Bin YONG1, Yu ZHANG2, Mingwei MA3 |
1State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
2Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544, USA
3 School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450045, China |
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Abstract Thehigh resolution satellite precipitation productsbear 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) werethencompared. 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 anacceptable 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.
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Received: 14 January 2016
Published: 20 April 2017
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Corresponding Authors:
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| 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 8 | Huffman G J, Bolvin D T.2013. Real-time TRMM multi-satellite precipitation analysis data set documentation. [2015-06-17]. . | | 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. | | 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. | | 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. | | 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. | | 13 | Jun X, Chen Y Q.2001. Water problems and opportunities in the hydrological sciences in China. Hydrological Sciences Journal, 46(6): 907-921. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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 MeteorologySociety, 174-184. | | 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. | | 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) | | 22 | Mishra A K, Singh V P.2010. A review of drought concepts. Journal of Hydrology, 391(1-2): 202-216. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. | | 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. |
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