Skip to main content
Log in

Comparison of large-scale global land precipitation from multisatellite and reanalysis products with gauge-based GPCC data sets

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

Abstract

Reliable information of land precipitation along with other atmospheric variables is crucial for monsoon studies, ecosystem modelling, crop modelling and numerous other applications. In this paper, three multisatellite and three reanalysis precipitation products, namely Global Precipitation Climatology Project (GPCP), Climate Prediction Center Mapping of Precipitation (CMAP1 and CMAP2), European Center for Medium Range Weather Forecasts Reanalysis-Interim (ERA-I) and National Center for Environmental Prediction (NCEP1 and NCEP2), are compared with the recent version of gauge-based gridded Global Precipitation Climatology Centre (GPCC) data sets over the global land region. The analysis is done at monthly scale and at 2.5° latitude × 2.5° longitude resolution for a 25-year (1986–2010) period. Large-scale prominent features of precipitation and its variability are qualitatively represented by all the precipitation products. However, the magnitudes considerably differ among themselves. Among the six precipitation products, GPCP performs better than the others when compared to the gridded GPCC data sets. Among the three reanalysis precipitation products, ERA-I is better than NCEP1 and NCEP2 in general. Even though NCEP2 is improved over NCEP1 over the mid-latitudes, NCEP2 has more serious problem over the orographic regions than that of NCEP1. Moreover, all the precipitation estimates exhibit similar kind of interannual variability over the global and tropical land regions. Additionally, the comparison is done for the six global monsoon regions for the regional analysis which shows that all the precipitation estimates exhibit similar kind of interannual variability in the seasonal monsoon precipitation. However, there are some regional differences among these precipitation products in the representation of monsoon variability.

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
Figure 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Adam JC, Clark EA, Lettenmaier DP, Wood EF (2006) Correction of global precipitation products for orographic effects. J Clim 19:15–38

    Article  Google Scholar 

  • Adams DK, Comrie AC (1997) The north american monsoon. Bull Am Meteorol Soc 78:2197–2213

    Article  Google Scholar 

  • Adler RF, Huffman GJ, Chang A, Ferraro R, Xie P, Janowiak J, Rudolf B, Schneider U, Curtis S, Bolvin D, Gruber A, Susskind J, Arkin P (2003) The version-2 global precipitation climatology project (GPCP) monthly precipitation analysis (1979–present). J Hydrometeorol 4(6):1147–1167

    Article  Google Scholar 

  • Becker A, Finger P, Meyer-Christoffer A, Rudolf B, Schamm K, Schneider U, Ziese M (2013) A description of the global land-surface precipitation data products of the global precipitation climatology centre with sample applications including centennial (trend) analysis from 1901-present. Earth Syst Sci Data 5:71–99. doi:10.5194/essd-5-71-2013

    Article  Google Scholar 

  • Bosilovich MG, Chen J, Robertson FR, Adler RF (2008) Evaluation of global precipitation analysis. J Appl Meteorol Climatol 47:2279–2299. doi:10.1175/2008JAMC1921.1

    Article  Google Scholar 

  • Dee DP et al (2011) The ERA-interim reanalysis: Configuration and performance of the data assimilation system. Q J R Meteorol Soc 137:553–597. doi:10.1002/qj.828

    Article  Google Scholar 

  • Diro GT, Grimes DIF, Black E, O’Neill A, Pardo-Iguzquiza E (2009) Evaluation of reanalysis rainfall estimates over Ethiopia. Int J Climatol 29:67–78. doi:10.1002/joc.1699

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Gebregiorgis AS, Hossain F (2013) Understanding the dependence of satellite rainfall uncertainty on topography and climate for hydrologic model simulation. IEEE Trans Geosci Remote Sens 51(1):704–718. doi:10.1109/TGRS.2012.2196282

    Article  Google Scholar 

  • Giuseppe FD, Molteni F, Dutra E (2013) Real-time correction of ERA-Interim monthly rainfall. Geophys Res Lett 40(14):3750–3755. doi:10.1002/grl.50670

    Article  Google Scholar 

  • Gorgas T, Dorninger M (2011) Quantifying verification uncertainty by reference data variation. Meteorol Z 21(3):259–277. doi:10.1127/0941-2948/2012/0325

    Article  Google Scholar 

  • Houze RA Jr (2012) Orographic effects on precipitating clouds. Rev Geophys 50, RG1001. doi:10.1029/2011RG000365

    Article  Google Scholar 

  • Huffman GJ, Bolvin DT, Adler RF (2012) GPCP Version 2.2 SG combined precipitation data set. WDC-A, NCDC, Asheville, NC. Available at http://www.ncdc.noaa.gov/oa/wmo/wdcamet-ncdc.html.

  • Huffman GJ, Adler RF, Bolvin DT, Gu G (2009) Improving the global precipitation record: GPCP version 2.1. Geophys Res Lett 36, L17808

    Article  Google Scholar 

  • Kalnay E, Kanamitsu M, Kistler R, Collins W, Deaven D, Gandin L, Iredell M, Saha S, White G, Woollen J, Zhu Y, Chelliah M, Ebisuzaki W, Higgins W, Janowiak J, Mao KC, Ropelewski C, Wang J, Leetmaa A, Reynolds R, Jenne R, Joseph D (1996) The NCEP/NCAR 40-year reanalysis project. Bull Am Meteorol Soc 77(3):437–470

    Article  Google Scholar 

  • Kanamitsu M, Ebisuzaki W, Woollen J, Yang SK, Hnilo JJ, Fiorino M, Potter GL (2002) NCEP-DOE AMIP-II Reanalysis (R-2). Bull Am Meteorol Soc 83:1631–1643

    Article  Google Scholar 

  • Kistler R et al (2001) The NCEP-NCAR 50-year reanalysis: Monthly means CD-ROM and documentation. Bull Am Meteorol Soc 82(2):247–267

    Article  Google Scholar 

  • Kucera PA, Ebert EE, Turk FJ, Levizzani V, Kirschbaum D, Tapiador FJ, Loew A, Borsche M (2013) Precipitation from space: Advancing earth system science. Bull Am Meteorol Soc 94:365–375. doi:10.1175/BAMS-D-11-00171.1

    Article  Google Scholar 

  • Liepert BG, Previdi M (2009) Do models and observations disagree on the rainfall responses to global warming? J Clim 22(11):3156–3166. doi:10.1175/2008JCLI2472.1

    Article  Google Scholar 

  • Lin R, Zhou T, Qian Y (2014) Evaluation of global monsoon precipitation changes based on five reanalysis data sets. J Clim 27:1271–1289. doi:10.1175/JCLI-D-13-00215.1

    Article  Google Scholar 

  • Ma L, Zhang T, Frauenfeld OW, Ye B, Yang D, Qin D (2009) Evaluation of precipitation from the ERA-40, NCEP-1, and NCEP-2 reanalyses and CMAP-1, CMAP-2, and GPCP-2 with ground-based measurements in China. J Geophys Res 114, D09105. doi:10.1029/2008JD011178

    Google Scholar 

  • McBridge JL (1987) The Australian summer monsoon. In: Chang CP, Krishnamurti TN (eds) Monsoon meteorology. Oxford University Press, New York, pp 203–231

    Google Scholar 

  • Michaelides S, Levizzani V, Anagnostou E, Bauer P, Kasparis T, Lane JE (2009) Precipitation: Measurement, remote sensing, climatology and modeling. Atmos Res 94(4):512–533. doi:10.1016/j.atmosres.2009.08.017

  • Overpeck JT, Meehl GA, Bony S, Easterling DR (2011) Climate data challenges in the 21st century. Science 331:700–702. doi:10.1126/science.1197869

    Article  Google Scholar 

  • Patricola CM, Cook KH (2007) Dynamics of the west African monsoon under Mid-Holocene precessional forcing: Regional climate model simulations. J Clim 20:694–716. doi:10.1175/JCLI4013.1

    Article  Google Scholar 

  • Pena-Arancibia JL, van Dijk AIJM, Renzullo LJ (2013) Evaluation of precipitation estimation accuracy in reanalyses, satellite products, and an ensemble method for regions in Australia and South and East Asia. J Hydrometeorol 14:1323–1333. doi:10.1175/JHM-D-12-0132.1

    Article  Google Scholar 

  • Schneider U, Becker A, Finger P, Meyer-Christoffer A, Ziese M, Rudolf B (2014) GPCC’s new land surface precipitation climatology based on quality-controlled in situ data and its role in quantifying the global water cycle. Theor Appl Climatol 115:15–40. doi:10.1007/s00704-013-0860-x

    Article  Google Scholar 

  • Shin D-B, Kim J-H, Park H-J (2011) Agreement between monthly precipitation estimates from TRMM satellite, NCEP reanalysis, and merged gauge-satellite analysis. J Geophys Res 116, D16105. doi:10.1029/2010JD015483

    Article  Google Scholar 

  • Sorooshian S, AghaKouchak A, Arkin P, Eylander J, Foufoula-Georgiou E, Harmon R, Hendrickx JMH, Imam B, Kuligowski R, Skahill B, Skofronick-Jackson G (2011) Advanced concepts on remote sensing of precipitation at multiple scales. Bull Am Meteorol Soc 92(10):1353–1357. doi:10.1175/2011BAMS3158.1

  • Sperber KR, Annamalai H, Kang I-S, Kitoh A, Turner A, Wang B, Zhou T (2012) The Asian summer monsoon: an intercomparison of CMIP5 vs. CMIP3 simulations of the late 20th century. Clim Dyn 41:2711–2744

    Article  Google Scholar 

  • Wang A, Zeng X (2012) Evaluation of multireanalysis products with in situ observations over the Tibetan Plateau. J Geophys Res 117, D05102. doi:10.1029/2011JD016553

    Google Scholar 

  • Wang B, Clemens SC, Liu P (2003) Contrasting the Indian and east Asian monsoons: implications on geologic timescales. Mar Geol 201:5–21

    Article  Google Scholar 

  • Wilks DS (2006) Statistical methods in the atmospheric sciences, 2nd edn. Academic Press, Amsterdam, p 648

  • Xie P, Arkin PA (1997) Global precipitation: a 17-year monthly analysis based on gauge observations, satellite estimates and numerical model outputs. Bull Am Meteorol Soc 78(11):2539–2558

    Article  Google Scholar 

  • Zhou J, Lau K-M (1998) Does a monsoon climate exist over South America? J Clim 11:1020–1040

    Article  Google Scholar 

Download references

Acknowledgments

The sources of various data sets used in this study are thankfully acknowledged. Comments from the editor-in-chief and two anonymous reviewers are appreciated to improve the quality of the manuscript.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Satya Prakash.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Prakash, S., Gairola, R.M. & Mitra, A.K. Comparison of large-scale global land precipitation from multisatellite and reanalysis products with gauge-based GPCC data sets. Theor Appl Climatol 121, 303–317 (2015). https://doi.org/10.1007/s00704-014-1245-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00704-014-1245-5

Keywords

Navigation