4,065
Views
34
CrossRef citations to date
0
Altmetric
Articles

Performance evaluation of the CHIRPS precipitation dataset and its utility in drought monitoring over Yunnan Province, China

, , , , &
Pages 2145-2162 | Received 25 Jun 2019, Accepted 08 Oct 2019, Published online: 04 Nov 2019

References

  • Adamson P, Bird J. 2010. The Mekong: a drought-prone tropical environment. Int J Water Resour D. 26(4):579–594.
  • Agutu NO, Awange JL, Zerihun A, Ndehedehe CE, Kuhn M, Fukuda Y. 2017. Assessing multi-satellite remote sensing, reanalysis, and land surface models’ products in characterizing agricultural drought in East Africa. Remote Sens Environ. 194:287–302.
  • Ashraf M, Routray JK. 2015. Spatio-temporal characteristics of precipitation and drought in Balochistan Province, Pakistan. Nat Hazards. 77(1):229–254.
  • Atta-Ur-Rahman, Dawood M. 2017. Spatio-statistical analysis of temperature fluctuation using Mann-Kendall and Sen’s slope approach. Clim Dynam. 48(3–4):783–797.
  • Aziz A, Umar M, Mansha M, Khan MS, Javed MN, Gao H, Farhan SB, Iqbal I, Abdullah S. 2018. Assessment of drought conditions using HJ-1A/1B data: a case study of Potohar region, Pakistan. Geomat Nat Hazards Risk. 9(1):1019–1036.
  • Bai L, Shi CX, Li L, Yang Y, Wu J. 2018. Accuracy of CHIRPS satellite-rainfall products over mainland China. Remote Sens. 10(3):362–390.
  • Bayissa Y, Tadesse T, Demisse G, Shiferaw A. 2017. Evaluation of satellite-based rainfall estimates and application to monitor meteorological drought for the Upper Blue Nile Basin, Ethiopia. Remote Sens. 9(7):669–687.
  • Beck HE, van Dijk A, Levizzani V, Schellekens J, Miralles DG, Martens B, de Roo A. 2017. MSWEP: 3-hourly 0.25° global gridded precipitation (1979-2015) by merging gauge, satellite, and reanalysis data. Hydrol Earth Syst Sci. 21(1):1–38.
  • Beck HE, Vergopolan N, Pan M, Levizzani V, van Dijk A, Weedon GP, Brocca L, Pappenberger F, Huffman GJ, Wood EF. 2017. Global-scale evaluation of 22 precipitation datasets using gauge observations and hydrological modeling. Hydrol Earth Syst Sci Dis. 21(12):1–23.
  • Chen C, Son N, Chen C, Chiang S, Chang L, Valdez M. 2016. Drought monitoring in cultivated areas of Central America using multi-temporal MODIS data. Geomat Nat Hazards Risk. 8(2):1–16.
  • Chen F, Li J. 2016. Quantifying drought and water scarcity: a case study in the Luanhe river basin. Nat Hazards. 81(3):1913–1927.
  • Chen H, Wu W, Liu H. 2017. Assessing the utility of meteorological drought indices in monitoring summer drought based on soil moisture in Chongqing, China. Theor Appl Climatol. 132(4):1–11.
  • Derin Y, Yilmaz KK. 2014. Evaluation of multiple satellite-based precipitation products over complex topography. J Hydrometeorol. 15(4):1498–1516.
  • Dinku T, Ruiz F, Connor SJ, Ceccato P. 2009. Validation and intercomparison of satellite rainfall estimates over Colombia. J Appl Meteorol Climatol. 49:104–114.
  • Du L, Mikle N, Zou Z, Huang Y, Shi Z, Jiang L, McCarthy HR, Liang J, Luo Y. 2018. Global patterns of extreme drought-induced loss in land primary production: identifying ecological extremes from rain-use efficiency. Sci Total Environ. 628–629:611–620.
  • Edossa DC, Babel MS, Gupta AD. 2010. Drought analysis in the Awash River Basin, Ethiopia. Water Resour Manage. 24(7):1441–1460.
  • Funk C, Peterson P, Landsfeld M, Pedreros D, Verdin J, Shukla S, Husak G, Rowland J, Harrison L, Hoell A, et al. 2015. The climate hazards infrared precipitation with stations-a new environmental record for monitoring extremes. Sci Data. 2(1):66–87.
  • Funk CC, Peterson PJ, Landsfeld MF, Pedreros DH, Verdin AP. 2014. A quasi-global precipitation time series for drought monitoring. US Geol Surv Data Ser. 832(4):1–12.
  • Gampe D, Nikulin G, Ludwig R. 2016. Using an ensemble of regional climate models to assess climate change impacts on water scarcity in European river basins. Sci Total Environ. 573:1503–1518.
  • Gao F, Zhang Y, Ren X, Yao Y, Hao Z, Cai W. 2018. Evaluation of CHIRPS and its application for drought monitoring over the Haihe River Basin, China. Nat Hazards. 92(1):155–172.
  • Gao X, Zhao Q, Zhao X, Wu P, Pan W, Gao X, Sun M. 2017. Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050. Sci Total Environ. 595:191–200.
  • Gocic M, Trajkovic S. 2013. Analysis of precipitation and drought data in Serbia over the period 1980–2010. J Hydrol. 494(12):32–42.
  • Guo H, Bao A, Liu T, Ndayisaba F, He D, Kurban A, De Maeyer P. 2017. Meteorological drought analysis in the Lower Mekong Basin using satellite-based long-term CHIRPS product. Sustainability. 9(6):901–922.
  • Guo H, Chen S, Bao A, Hu J, Gebregiorgis AS, Xue X, Zhang X. 2015. Inter-comparison of high-resolution satellite precipitation products over Central Asia. Remote Sens. 7(6):7181–7211.
  • Gupta HV, Kling H, Yilmaz K, Martinez G. 2009. Decomposition of the mean squared error and NSE performance criteria: implications for improving hydrological modelling. J Hydrol. 370:80–91.
  • Hou A, Kakar R, Neeck S, Azarbarzin A, Kummerow C, Kojima M, Oki R, Nakamura K, Iguchi T. 2013. The global precipitation measurement mission. Bull Am Meteorol Soc. 95(5):701–722.
  • Hsu K, Gao X, Sorooshian S, Gupta H. 1997. Precipitation estimation from remotely sensed information using artificial neural networks. J Appl Meteorol. 36(9):1176–1190.
  • Huffman G, Adler R, Arkin P, Chang A, Ferraro R, Gruber A, Janowiak J, McNab A, Rudolf B, Schneider U. 1997. The Global Precipitation Climatology Project (GPCP) combined precipitation dataset. Bull Am Meteorol Soc. 78(1):5–20.
  • Huffman GJ, Bolvin DT, Nelkin EJ, Wolff DB, Adler RF, Gu G, Hong Y, Bowman KP, Stocker EF. 2007. The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol. 8(1):38–55.
  • Ionita M, Scholz P, Chelcea S. 2016. Assessment of droughts in Romania using the Standardized Precipitation Index. Nat Hazards. 81(3):1483–1498.
  • Jesús DA, Breña-Naranjo JA, Pedrozo-Acuña A, Yamanaka V. 2016. The use of TRMM 3b42 product for drought monitoring in Mexico. Water. 8(8):325–343.
  • Joyce RJ, Janowiak JE, Arkin PA, Xie P. 2004. CMORPH: a method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. J Hydrometeorol. 5(3):487–503.
  • Kao SC, Govindaraju RS. 2010. A copula-based joint deficit index for droughts. J Hydrol. 380(1–2):121–134.
  • Katsanos D, Retalis A, Tymvios F, Michaelides S. 2016. Analysis of precipitation extremes based on satellite (CHIRPS) and in situ dataset over Cyprus. Nat Hazards. 83(S1):53–63.
  • Kendall MG. 1975. Rand correlation methods. London, UK: Charles Griffin.
  • Khan SI, Hong Y, Gourley JJ, Khattak MUK, Yong B, Vergara HJ. 2014. Evaluation of three high-resolution satellite precipitation estimates: potential for monsoon monitoring over Pakistan. Adv Space Res. 54(4):670–684.
  • Kidd C, Bauer P, Turk J, Huffman G, Joyce R, Hsu K, Braithwaite D. 2012. Intercomparison of high-resolution precipitation products over Northwest Europe. J Hydrometeorol. 13(1):67–83.
  • Kling H, Fuchs M, Paulin M. 2012. Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios. J Hydrol. 424–425:264–277.
  • Lai C, Zhong R, Wang Z, Wu X, Chen X, Wang P, Lian Y. 2019. Monitoring hydrological drought using long-term satellite-based precipitation data. Sci Total Environ. 649:1198–1208.
  • Li Y, He D, Hu J, Cao J. 2015. Variability of extreme precipitation over Yunnan Province, China 1960–2012. Int J Climatol. 35(2):245–258.
  • Li Y, He D, Ye C. 2008. Spatial and temporal variation of runoff of Red River Basin in Yunnan. J Geogr Sci. 18(3):308–318.
  • Li Y, Ren F, Li Y, Wang P, Yan H. 2014. Characteristics of the regional meteorological drought events in Southwest China during 1960–2010. J Meteorol Res. 28(3):381–392.
  • Li Y, Wang Z, Zhang Y, Li X, Huang W. 2019a. Drought variability at various timescales over Yunnan Province, China: 1961–2015. Theor Appl Climatol. 138(1–2):743–757. 10.1007/s00704-019-02859-z.
  • Li Y, Zhang Y, He D, Luo X, Ji X. 2019b. Spatial downscaling of the tropical rainfall measuring mission precipitation using geographically weighted regression Kriging over the Lancang River Basin, China. Chin Geogr Sci. 39(3):446–462.
  • Ma S, Wu Q, Wang J, Zhang S. 2017. Temporal evolution of regional drought detected from GRACE TWSA and CCI SM in Yunnan Province, China. Remote Sens. 9(11):1124–1139.
  • Mahajan DR, Dodamani BM. 2016. Spatial and temporal drought analysis in the Krishna river basin of Maharashtra, India. Cogent Eng. 3(1):1–15.
  • Mann HB. 1945. Nonparametric tests against trend. Econometrica 3:245–259.
  • Masih I, Maskey S, Mussá F, Trambauer P. 2014. A review of droughts on the African continent: a geospatial and long-term perspective. Hydrol Earth Syst Sci. 18(9):3635–3649.
  • McKee TB, Doesken NJ, Kleist J. 1993. The relation of drought frequency and duration to time scales. Proceedings of the 8th Conference on Applied Climatology; Anaheim, California:, 17–22 January 1993, 179–184.
  • Mishra AK, Desai VR, Singh VP. 2007. Drought forecasting using a hybrid stochastic and neural network model. J Hydrol Eng. 12(6):626–638.
  • Mishra AK, Singh VP. 2010. A review of drought concepts. J Hydrol. 391(1–2):202–216.
  • Mishra S, Nagarajan R. 2011. Spatio-temporal drought assessment in Tel river basin using Standardized Precipitation Index (SPI) and GIS. Geomat Nat Hazards Risk. 2(1):79–93.
  • Paredes-Trejo FJ, Barbosa HA, Kumar T. 2017. Validating CHIRPS-based satellite precipitation estimates in Northeast Brazil. J Arid Environ. 139:26–40.
  • Qin Y, Chen Z, Shen Y, Zhang S, Shi R. 2014. Evaluation of satellite rainfall estimates over the Chinese Mainland. Remote Sens. 6(11):11649–11672.
  • Sen P. 1968. Estimates of the regression coefficient based on Kendall’s Tau. J Am Stat Assoc. 63(324):1379–1389.
  • Shen Y, Xiong A, Hong Y, Yu J, Pan Y, Chen Z, Saharia M. 2014. Uncertainty analysis of five satellite-based precipitation products and evaluation of three optimally merged multi-algorithm products over the Tibetan Plateau. Int J Remote Sens. 35(19):6843–6858.
  • Siuki SK, Saghafian B, Moazami S. 2017. Comprehensive evaluation of 3-hourly TRMM and half-hourly GPM-IMERG satellite precipitation products. Int J Remote Sens. 38(2):558–571.
  • Stampoulis D, Anagnostou EN. 2012. Evaluation of global satellite rainfall products over continental Europe. J Hydrometeorol. 13(2):588–603.
  • Stisen S, Sandholt I. 2010. Evaluation of remote-sensing-based rainfall products through predictive capability in hydrological runoff modelling. Hydrol Process. 24(7):879–891.
  • Sun Q, Miao C, Duan Q, Ashouri H, Soroosh S, Hsu K. 2018. A review of global precipitation data sets: data sources, estimation, and intercomparisons. Rev Geophys. 56(1):79–107.
  • Tabari H, Marofi S, Aeini A, Talaee PH, Mohammadi K. 2011. Trend analysis of reference evapotranspiration in the western half of Iran. Agric Forest Meteorol. 151(2):128–136.
  • Tan M, Chua V, Tan K, Brindha K. 2017. Assessment of TRMM 3B43 product for drought monitoring in Singapore. Remote Sens Agric Ecosyst Hydrol. 10421:1–6.
  • Tan M, Tan K, Chua V, Chan N. 2017. Evaluation of TRMM product for monitoring drought in the Kelantan river basin, Malaysia. Water. 9(1):57–72.
  • Tao H, Fischer T, Zeng Y, Fraedrich K. 2016. Evaluation of TRMM 3B43 precipitation data for drought monitoring in Jiangsu Province, China. Water. 8(6):221–234.
  • Toté C, Patricio D, Boogaard H, Van der Wijngaart R, Tarnavsky E, Funk C. 2015. Evaluation of Satellite Rainfall Estimates for Drought and Flood Monitoring in Mozambique. Remote Sens. 7(2):1758–1776.
  • Tuo Y, Duan Z, Disse M, Chiogna G. 2016. Evaluation of precipitation input for SWAT modeling in Alpine catchment: a case study in the Adige River Basin (Italy). Sci Total Environ. 573:66–82.
  • WMO. 2012. Standardized precipitation index user guide In: Svoboda M, editor. WMO-No. 1090. Geneva, Switzerland: WMO.
  • Yan G, Liu Y, Chen X. 2018. Evaluating satellite-based precipitation products in monitoring drought events in southwest China. Int J Remote Sens. 39(10):3186–3214.
  • Yan Z, Zhang Y, Zhou Z, Han N. 2017. The spatio-temporal variability of droughts using the standardized precipitation index in Yunnan, China. Nat Hazards. 88(2):1023–1042.
  • Yu W, Shao M, Ren M, Zhou H, Jiang Z, Li D. 2013. Analysis on spatial and temporal characteristics drought of Yunnan Province. Acta Ecol Sin. 33(6):317–324.
  • Zambrano F, Wardlow B, Tadesse T, Mario L, Lagos O. 2017. Evaluating satellite-derived long-term historical precipitation datasets for drought monitoring in Chile. Atmos Res. 186:26–42.
  • Zhang D, Yan D, Lu F, Wang Y, Feng J. 2015. Copula-based risk assessment of drought in Yunnan province, China. Nat Hazards. 75(3):2199–2220.
  • Zhang Y, Li Y, Ji X, Luo X, Li X. 2018a. Evaluation and hydrologic validation of three satellite-based precipitation products in the Upper Catchment of the Red River Basin, China. Remote Sens. 10(12):1881–1903.
  • Zhang Y, Li Y, Ji X, Luo X, Li X. 2018b. Fine-resolution precipitation mapping in a mountainous watershed: geostatistical downscaling of TRMM products based on environmental variables. Remote Sens. 10(1):119–146.
  • Zhong R, Chen X, Lai C, Wang Z, Lian Y, Yu H, Wu X. 2019. Drought monitoring utility of satellite-based precipitation products across mainland China. J Hydrol. 568:343–359.
  • Zhong S, Wang C, Yang Y, Huang Q. 2018. Risk assessment of drought in Yun-Gui-Guang of China jointly using the Standardized Precipitation Index and vulnerability curves. Geomat Nat Hazards Risk. 9(1):892–918.
  • Zhou Q, Yang S, Zhao C, Cai M, Luo H, Luo Y, Hou L. 2016. Development and implementation of a spatial unit non-overlapping water stress index for water scarcity evaluation with a moderate spatial resolution. Ecol Indic. 69:422–433.