Skip to main content
Log in

Assessing the performance of satellite-based precipitation products and its dependence on topography over Poyang Lake basin

  • Original Paper
  • Published:
Theoretical and Applied Climatology Aims and scope Submit manuscript

Abstract

Satellite-based precipitation products (SPPs) have greatly improved their applicability and are expected to offer an alternative to ground-based precipitation estimates in the present and the foreseeable future. There is a strong need for a quantitative evaluation of the usefulness and limitations of SPPs in operational meteorology and hydrology. This study compared two widely used high-resolution SPPs, the Tropical Rainfall Measuring Mission (TRMM) and Precipitation Estimation from Remote Sensing Information using Artificial Neural Network (PERSIANN) in Poyang Lake basin which is located in the middle reach of the Yangtze River in China. The bias of rainfall amount and occurrence frequency under different rainfall intensities and the dependence of SPPs performance on elevation and slope were investigated using different statistical indices. The results revealed that (1) TRMM 3B42 usually underestimates the rainy days and overestimates the average rainfall as well as annual rainfall, while the PERSIANN data were markedly lower than rain gauge data; (2) the rainfall contribution rates were underestimated by TRMM 3B42 in the middle rainfall class but overestimated in the heavy rainfall class, while the opposite trend was observed for PERSIANN; (3) although the temporal distribution characteristics of monthly rainfall were correctly described by both SPPs, PERSIANN tended to suffer a systematic underestimation of rainfall in every month; and (4) the performances of both SPPs had clear dependence on elevation and slope, and their relationships can be fitted using quadratic equations.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • AghaKouchak A, Behrangi A, Sorooshian S, Hsu K, Amitai E (2011) Evaluation of satellite-retrieved extreme precipitation rates across the central United States. J Geophys Res 116:D02115. doi:10.1029/2010JD014741

    Google Scholar 

  • AghaKouchak A, Nasrollahi N, Habib E (2009) Accounting for uncertainties of the TRMM satellite estimates. Remote Sens 1:606–619

    Article  Google Scholar 

  • Amlien J (2008) Remote sensing of snow with passive microwave radiometers: a review of current algorithms. Report no. 1019. Norsk Regnesentral, Oslo, pp 1–52

    Google Scholar 

  • Aonashi K, Awaka J, Hirose M, Kozu T, Kubota T, Liu G, Shige S, Kida S, Seto S, Takahashi N, Takayabu YN (2009) GSMaP passive microwave precipitation retrieval algorithm: algorithm description and validation. J Meteorol Soc Jap 87A:119–136

    Article  Google Scholar 

  • Artan G, Gadain H, Smith JL, Asante K, Bandaragoda CJ, Verdin JP (2007) Adequacy of satellite derived rainfall data for stream flow modeling. Nat Hazards 43(2):167–185

    Article  Google Scholar 

  • Asadullah A, Mcintyre N, Kigobe M (2008) Evaluation of five satellite products for estimation of rainfall over Uganda. Hydrolog Sci J 53(6):1137–1150

    Article  Google Scholar 

  • Barros AP, Chiao S, Lang TJ, Burbank D, Putkonen J (2006) From weather to climate—seasonal and interannual variability of storms and implications for erosion process in the Himalaya. Geological Society of America Special Paper 398, Penrose Conference Series, Boulder, pp 17–38

  • Behrangi A, Khakbaz B, Jaw TC, AghaKouchak A, Hsu K, Sorooshian S (2011) Hydrologic evaluation of satellite precipitation products over a mid-size basin. J Hydrol 397:225–237

    Article  Google Scholar 

  • Beighley RE, Ray RL, He Y, Lee H, Schaller L, Andreadis KM, Durand M, Alsdorf DE, Shum CK (2011) Comparing satellite derived precipitation datasets using the Hillslope River Routing (HRR) model in the Congo River Basin. Hydrol Process 25:3216–3229

    Article  Google Scholar 

  • Bitew MM, Gebremichael M (2010) Evaluation through independent measurements: complex terrain and humid tropical region in Ethiopia. In: Gebremichael M, Hossain F (eds) Satellite rainfall applications for surface hydrology. Springer Science + Business Media B.V., Dordrecht, pp 205–214

  • Deyzel ITH, Pegram GGS, Visser PJM, Dicks D (2004) Spatial interpolation and mapping of rainfall (SIMAR) 2: radar and satellite products. WRC report no. 1152/1/04. Water Research Commission, Pretoria

    Google Scholar 

  • Dinku T, Anagnostou EN (2006) TRMM calibration of SSM/I algorithm for overland rainfall estimation. J Appl Meteorol Climatol 45(6):875–886

    Article  Google Scholar 

  • Dinku T, Ceccato P, Connor SJ (2011) Challenges of satellite rainfall estimation over mountainous and arid parts of east Africa. Int J Remote Sens 32(21):5965–5979

    Article  Google Scholar 

  • Dinku T, Chidzambwa S, Ceccato P, Connor SJ, Ropelewski CF (2008) Validation of high-resolution satellite rainfall products over complex terrain. Int J Remote Sens 29(14):4097–4110

    Article  Google Scholar 

  • Dinku T, Connor SJ, Ceccato P (2010) Comparison of CMORPH and TRMM-3B42 over mountainous regions of Africa and South America. In: Gebremichael M, Hossain F (eds) Satellite rainfall applications for surface hydrology. Springer Science + Business Media B.V., Dordrecht, pp 193–204

  • Ebert EE, Janowiak JE, Kidd C (2007) Comparison of near-real-time precipitation estimates from satellite observations and numerical models. B Am Meteorol Soc 88:47–64

    Article  Google Scholar 

  • Ferraro RR, Marks GF (1995) The development of SSM/I rain-rate retrieval algorithms using ground-based radar measurements. J Atm Oce Tech 12:755–770

    Article  Google Scholar 

  • Ghile Y, Schulze R, Brown C (2010) Evaluating the performance of ground-based and remotely sensed near real-time rainfall fields from a hydrological perspective. Hydrolog Sci J 55(4):497–511

    Article  Google Scholar 

  • Gottschalck J, Meng J, Rodell M, Houser P (2005) Analysis of multiple precipitation products and preliminary assessment of their impact on global land data assimilation system land surface states. J Hydrometeorol 6(5):573–598

    Article  Google Scholar 

  • Guo H, Hu Q, Jiang T (2008) Annual and seasonal streamflow responses to climate and land-cover changes in the Poyang Lake basin, China. J Hydrol 355:106–122

    Article  Google Scholar 

  • Han WS, Steven JB, Shepherd JM (2011) Assessment of satellite-based rainfall estimates in urban areas in different geographic and climatic regions. Nat Hazards 56:733–747

    Article  Google Scholar 

  • He X, Vejen F, Stisen S, Sonnenborg TO, Jensen KH (2011) An operational weather radar-based quantitative precipitation estimation and its application in catchment water resources modeling. Vadose Zone J 10(1):8–24

    Article  Google Scholar 

  • Hirpa FA, Gebremichael M, Hopson T (2010) Evaluation of high-resolution satellite precipitation products over very complex terrain in Ethiopia. J Appl Meteorol Clim 49:1044–1051

    Article  Google Scholar 

  • Hong Y, Gochis D, Cheng J, Hsu K, Sorooshian S (2007) Evaluation of PERSIANN-CCS rainfall measurement using the NAME event rain gauge network. J Hydrometeorol 8(3):469–482

    Article  Google Scholar 

  • Hsu KL, Gao XG, Sorooshian S, Gupta HV (1997) Precipitation estimation from remotely sensed information using artificial neural networks. J Appl Meteorol 36:1176–1190

    Article  Google Scholar 

  • Hsu KL, Gupta HV, Gao X, Sorooshian S (1999) Estimation of physical variables from multi-channel remotely sensed imagery using a neural network: application to rainfall estimation. Water Resour Res 35(5):1605–1618

    Article  Google Scholar 

  • Hsu KL, Sorooshian S (2008) Satellite-based precipitation measurement using PERSIANN system. In: Sorooshian S et al (eds) Hydrological modeling and the water cycle—coupling the atmospheric and hydrologic models. Springer, Berlin, pp 27–48

  • Hu Q, Feng S, Guo H, Jiang T (2007) Interactions of the Yangtze River flow and hydrologic processes of the Poyang Lake, China. J Hydrol 347:90–100

    Article  Google Scholar 

  • Huffman GJ, Adler RF, Rudolf B, Schneider U, Kehn PR (1995) Global precipitation estimates based on a technique for combining satellite-based estimates, rain gauge analysis, and NWP model precipitation estimation. J Climate 8:1284–1295

    Article  Google Scholar 

  • Huffman GJ, Adler RF, Arkin P, Chang A, Ferraro R, Gruber A, Janowiak J, McNab A, Rudolf B, Schneider B (1997) The Global Precipitation Climatology Project (GPCP) combined precipitation dataset. B Am Meteorol Soc 78(1):5–20

    Article  Google Scholar 

  • Huffman GJ, Adler RF, Bolvin DT, Gu G, Nelkin EJ, Bowman KP, Hong Y, Stocker EF, Wolff DB (2007) The TRMM multi-satellite precipitation analysis (TMPA): quasiglobal, multiyear, combined sensor precipitation estimates at fine scales. J Hydrometeorol 8(1):38–55

    Article  Google Scholar 

  • Hughes DA (2006) Comparison of satellite rainfall data with observations from gauging station networks. J Hydrol 327:399–410

    Article  Google Scholar 

  • Janowiak J, Joyce R, Yarosh Y (2001) A real-time global halfhourly pixel-resolution infrared dataset and its applications. B Am Meteorol Soc 82:205–217

    Article  Google Scholar 

  • Janowiak J E, Xie P, Joyce RJ, Chen M, Yarosh Y (2004) Validation of satellite-derived rainfall estimates and numerical model forecasts of precipitation over the United States. Proceeding of 29th Annual Climate Diagnostics and Prediction Workshop, NOAA, Madison, pp 21–26

  • Jiang H, Halverson JB, Zipser EJ (2008) Influence of environmental moisture on TRMM-derived tropical cyclone precipitation over land and ocean. Geophys Res Lett 35(17), L17806

  • 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 5:487–503

    Article  Google Scholar 

  • Koo MS, Hong SY, Kim J (2009) An evaluation of the tropical rainfall measuring mission (TRMM) multi-satellite precipitation analysis (TMPA) data over South Korea. Asia-Pacific J Atmos Sci 45(3):265–282

    Google Scholar 

  • Krajewski WF, Smith JA (2002) Radar hydrology: rainfall estimation. Adv Water Resour 25:1387–1394

    Article  Google Scholar 

  • Kubota T, Shige S, Hashizume H, Aonashi K, Takahashi N, Seto S, Hirose M, Takayabu YN, Nakagawa K, Iwanami K, Ushio T, Kachi M, Okamoto K (2007) Global precipitation map using satelliteborne microwave radiometers by the GSMaP project: production and validation. IEEE Trans Geosci Remote Sens 45:2259–2275

    Article  Google Scholar 

  • Kubota T, Ushio T, Shige S, Kida S, Kachi M, Okamoto K (2009) Verification of high-resolution satellite-based rainfall estimates around Japan using a gauge-calibrated ground-radar dataset. J Meteorol Soc Jap 87A:203–222

    Article  Google Scholar 

  • Kummerow C, Barnes W, Koju T, Shiue J, Simpson J (1998) The tropical rainfall measuring mission (TRMM) sensor package. J Atmos Ocean Tech 15:809–817

    Article  Google Scholar 

  • Kummerow C, Hong Y, Olson WS, Yang S, Adler RF, McCollum J, Ferraro R, Petty G, Shin DB, Wilheit TT (2001) The evolution of the Goddard profiling algorithm (GPROF) for rainfall estimation from passive microwave sensors. J Appl Meteor 40:1801–1820

    Article  Google Scholar 

  • Layberry R, Kniveton DR, Todd MC, Kidd C, Bellerby TJ (2006) Daily precipitation over Southern Africa: a new resource for climate studies. J Hydrometeorol 7:149–159

    Article  Google Scholar 

  • Levizzani V, Amorati R (2002) A review of satellite-based rainfall estimation methods: a look back and a perspective. Proceedings of the 2000 EUMETSAT Meteorological Satellite Data User’s Conference, 29 May–2 June 2000, Bologna, Italy, pp 344–353

  • Li L, Ngongondo CS, Xu CY, Gong L (2013) Comparison of the global TRMM and WFD precipitation datasets in driving a large-scale hydrological model in Southern Africa. Hydrol Res. doi:10.2166/nh.2012.175

  • Li XH, Zhang Q, Xu CY (2012) Suitability of the TRMM satellite rainfalls in driving a distributed hydrological model for water balance computations in Xinjiang catchment, Poyang Lake basin. J Hydrol 426–427:28–38

    Article  Google Scholar 

  • Nair S, Srinivasan G, Nemani R (2009) Evaluation of multi-satellite TRMM derived rainfall estimates over a western state of India. J Meteorol Soc Jap 87(6):927–939

    Article  Google Scholar 

  • Nesbitt SW, Gochis DJ, Lang TJ (2008) The diurnal cycle of clouds and precipitation along the sierra madre occidental observed during NAME-2004: implications for warm season precipitation estimation in complex terrain. J Hydrometeorol 9(4):728–743

    Google Scholar 

  • Pegram GGS, Deyzel ITH, Sinclair S, Visser P, Terblanche D, Green GC (2004) Daily mapping of 24 hr rainfall at pixel scale over South Africa using satellite, radar and raingauge data. Proceeding of 2nd International Precipitation Working Group (IPWG) Workshop, Naval Research Laboratory, Monterey

  • Petty GW (2001) Physical and microwave radiative properties of precipitation clouds. Part II: a parametric 1D rain-cloud model for use in microwave radiative transfer simulations. J Appl Meteorol 40:2115–2129

    Article  Google Scholar 

  • Piccolo F, Chirico GB (2005) Sampling errors in rainfall measurements by weather radar. Adv Geosci 2:151–155

    Article  Google Scholar 

  • Romilly TG, Gebremichael M (2011) Evaluation of satellite rainfall estimates over Ethiopian river basins. Hydrol Earth Syst Sci 15:1505–1514

    Article  Google Scholar 

  • Samaniego L, Kumar R, Jackisch C (2012) Predictions in a data-sparse region using a regionalized grid-based hydrologic model driven by remotely sensed data. Hydrol Res 42(5):338–355

    Article  Google Scholar 

  • Sapiano MRP, Arkin PA (2009) An intercomparison and validation of high-resolution satellite precipitation estimates with 3-hourly gauge data. J Hydrometeorol 10(1):149–166

    Google Scholar 

  • Sawunyama T, Hughes DA (2008) Application of satellite-derived rainfall estimates to extend water resource simulation modelling in South Africa. Water SA 34:1–9

    Google Scholar 

  • Scheel MLM, Rohrer M, Huggel CH, Villar DS, Silvestre E, Huffman GJ (2011) Evaluation of TRMM multi-satellite precipitation analysis (TMPA) performance in the central Andes region and its dependency on spatial and temporal resolution. Hydrol Earth Syst Sci 15:2649–2663

    Article  Google Scholar 

  • Schulze RE (2006) South african atlas of climatology and agrohydrology. WRC report no. 1489/1/06. Water Research Commission, Pretoria

    Google Scholar 

  • Shrestha MS, Takara K, Kubota T, Bajracharya SR (2011) Verification of GSMaP rainfall estimates over the central Himalaya. Ann J Hydraulic Eng, JSCE 55:37–42

    Google Scholar 

  • Smith JA, Baeck ML, Meierdiercks KL, Miller AJ, Krajewski WF (2007) Radar rainfall estimation for flash flood forecasting in small urban watersheds. Adv Water Resour 30:2087–2097

    Article  Google Scholar 

  • Sorooshian S, Hsu KL, Gao X, Gupta HV, Imam B, Braithwaite D (2000) Evaluation of PERSIANN system satellite-based estimates of tropical rainfall. B Am Meteorol Soc 81:2035–2046

    Article  Google Scholar 

  • Sorooshian S, Lawford R, Try P, Rossow W, Roads J, Polcher J, Sommeria G, Schiffer R (2005) Water and energy cycles: investigating the links. WMO Bull 54(2):58–64

    Google Scholar 

  • Stisen S, Sandholt I (2010) Evaluation of remote-sensing-based rainfall products through predictive capability in hydrological runoff modeling. Hydrol Process 24(7):879–891

    Article  Google Scholar 

  • Su FG, Hong Y, Lettenmaier DP (2008) Evaluation of TRMM multisatellite precipitation analysis (TMPA) and its utility in hydrologic prediction in La Plata Basin. J Hydrometeorol 9(4):622–640

    Article  Google Scholar 

  • Sun X, Mein RG, Keenan TD, Elliott JF (2000) Flood estimation using radar and raingauge data. J Hydrol 239:4–18

    Article  Google Scholar 

  • Thorne V, Coakley P, Grimes D, Dugdale G (2001) Comparison of TAMSAT and CPC rainfall estimates with rainfall, for southern Africa. Int J Remote Sens 22(10):1951–1974

    Google Scholar 

  • Tian YD, Peters-Lidard CD (2007) Systematic anomalies over inland water bodies in satellite-based precipitation estimates. Geophys Res Lett 34(14), L14403

  • Tian YD, Peters-Lidard CD, Choudhury BJ, Garcia M (2007) Multitemporal analysis of TRMM-based satellite precipitation products for land data assimilation applications. J Hydrometeorol 8(6):1165–1183

    Article  Google Scholar 

  • Turk FJ, Rohaly GD, Hawkins J, Smith EA, Marzano FS, Mugnai A, Levizzani V (2000) Meteorological applications of precipitation estimation from combined SSM/I, TRMM and infrared geostationary satellite data. In: Pampaloni P, Paloscia S (eds) Microwave radiometry and remote sensing of the Earth’s surface and atmosphere. VSP International Science Publishers, Zeist, pp 353–363

  • Ushio T, Sasashige K, Kubota T, Shige S, Okamoto K, Aonashi K, Inoue T, Takahashi N, Iguchi T, Kachi M, Oki R, Morimoto T, Kawasaki Z (2009) A kalman filter approach to the global satellitemapping of precipitation (GSMaP) from combined passive microwave and infrared radiometric data. J Meteorol Soc Jap 87A:137–151

    Article  Google Scholar 

  • Vila DA, Luis GG, Toll DL, Rozante JR (2009) Statistical evaluation of combined daily gauge observations and rainfall satellite estimates over continental South America. J Hydrometeor 10:533–543

    Article  Google Scholar 

  • Villarini G, Krajewski WF (2010) Review of the different sources of uncertainty in single polarization radar-based estimates of rainfall. Surv Geophys 31:107–129

    Article  Google Scholar 

  • Ward E, Buytaert W, Peaver L, Wheater H (2011) Evaluation of precipitation products over complex mountainous terrain: a water resources perspective. Adv Water Resour 34:1222–1231

    Article  Google Scholar 

  • Wilks DS (1995) Statistical methods in the atmospheric sciences. Academic, San Diego

    Google Scholar 

  • Wilks DS (2006) Statistical methods in the atmospheric sciences, 2nd edn. Academic, Burlington

    Google Scholar 

  • Xu DL, Xiong M, Zhang J (2001) Analysis of hydrological characteristic of Poyang Lake. Yangtze River 32(2):21–23 (in Chinese)

    Google Scholar 

  • Yamamoto MK, Ueno K, Nakamura K (2011) Comparison of satellite precipitation products with rain gauge data for the Khumb region, Nepal Himalayas. J Meteorol Soc Jap 89(6):597–610

    Article  Google Scholar 

  • Yan J, Gebremichael M (2009) Estimating actual rainfall from satellite rainfall products. Atmosph Res 92:481–488

    Article  Google Scholar 

  • Yong B, Ren LL, Hong Y, Wang JH, Gourley JJ, Jiang SH, Chen X, Wang W (2010) Hydrologic evaluation of multisatellite precipitation analysis standard precipitation products in basins beyond its inclined latitude band: A case study in Laohahe basin, China. Water Resour Res 46: W07542. doi:10.1029/2009WR008965

  • Yu Z, Yu H, Chen P (2009) Verification of tropical cyclone-related satellite precipitation estimates in mainland China. J Appl Meteorol Clim 48(11):2227–2241

    Google Scholar 

  • Zhou T, Yu R, Chen H, Dai A, Pan Y (2008) Summer precipitation frequency, intensity and diurnal cycle over China: a comparison of satellite data with rain gauge observations. J Clim 21(16):3997–4040

    Article  Google Scholar 

Download references

Acknowledgments

This work is jointly funded by the National Basic Research Program of China (973 Program) (2012CB417003 and 2012CB956103-5), the National Natural Science Foundation of China (41101024), and the Science Foundation of Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences (NIGLAS2012135001 and NIGLAS2010XK02). The authors are grateful to the anonymous reviewers and the editor who helped in improving the quality of the original manuscript and Dr. Qing Zhu from Nanjing Institute of Geography and Limnology, CAS for providing valuable improvements to the earlier manuscript. Thanks also to Dr. Jian Liu and Dr. Yuanbo Liu from Nanjing Institute of Geography and Limnology, CAS for providing daily rain gauge data in Poyang Lake basin.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Qi Zhang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Li, X., Zhang, Q. & Xu, CY. Assessing the performance of satellite-based precipitation products and its dependence on topography over Poyang Lake basin. Theor Appl Climatol 115, 713–729 (2014). https://doi.org/10.1007/s00704-013-0917-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-013-0917-x

Keywords

Navigation