Skip to main content

Advertisement

Log in

A comparison of gridded datasets of precipitation and temperature over the Eastern Nile Basin region

  • Original Paper
  • Published:
Euro-Mediterranean Journal for Environmental Integration Aims and scope Submit manuscript

Abstract

Three gridded datasets of precipitation and surface air temperature over the Eastern Nile Basin (ENB) were compared and evaluated for further use in studies of the basin, such as for the optimization and validation of regional climate models for the basin and for hydrologic studies of the ENB. The Tropical Rainfall Measuring Mission (TRMM), Climate Research Unit (CRU), and Global Precipitation Climatology Center (GPCC) gridded datasets for precipitation were assessed and compared to available ground-based observations of the precipitation in the Ethiopian Highlands, which receive most of the precipitation that falls in the basin. Pearson’s correlation coefficient (COR), the modified index of agreement (MIA), and the mean absolute error (MAE) were used in statistical analyses of the gridded datasets. TRMM and GPCC were found to agree well with each other and with the GHCN station data, although GPCC showed the closest agreement with the ground-based observations. This advantage of GPCC was clearly apparent in the calculated statistical metrics, where GPCC gave the best performance (the highest COR and MIA and the lowest MAE) among the three datasets when they were compared with the ground-based observations. CRU indicated drier conditions than the other two datasets, especially over the highlands, while it also yielded the poorest agreement with ground-based observations. Temperature datasets for the ENB from the University of Delaware (UDel) and CRU were also evaluated. Both datasets performed well, and the bias between them was small. When compared to ground-based observations, both showed high COR and MIA and low MAE for most stations, but UDel presented slightly better calculated statistical metrics than CRU. Based on these results, we recommend the use of GPCC when modeling the precipitation and UDel when modeling the air temperature over the ENB.

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
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  • Abdelwares M, Haggag M, Wagdy A, Lelieveld J (2018) Customized framework of the WRF model for regional climate simulation over the Eastern NILE basin. Theoret Appl Climatol 134(3–4):1135–1151

  • Ahmed K, Shahid S, Wang X, Nawaz N, Najeebullah K (2019) Evaluation of gridded precipitation datasets over arid regions of Pakistan. Water 11(2):210

    Google Scholar 

  • Berezowski T, Szcześniak M, Kardel I, Michałowski R, Okruszko T, Mezghani A, Piniewski M (2016) CPLFD-GDPT5: high-resolution gridded daily precipitation and temperature data set for two largest Polish river basins. Earth Syst Sci Data 8(1):127–139

    Google Scholar 

  • Beyene T, Lettenmaier DP, Kabat P (2010) Hydrologic impacts of climate change on the Nile River basin: implications of the 2007 IPCC scenarios. Clim Change 100:433–461

    Google Scholar 

  • Casey KS, Cornillon P (1999) A comparison of satellite and in situ-based sea surface temperature climatologies. J Clim 12(6):1848–1863

    Google Scholar 

  • Conway D (2000) The climate and hydrology of the Upper Blue Nile River. Geogr J 166(1):49–62

    Google Scholar 

  • Conway D, Hulme M (1996) The impacts of climate variability and future climate change in the Nile Basin on water resources in Egypt. Int J Water Resour D 12:277–296

  • Costa MH, Foley JA (1998) A comparison of precipitation datasets for the Amazon Basin. Geophys Res Lett 25(2):155–158

  • Dinku T, Connor SJ, Ceccato P, Ropelewski CF (2008) Comparison of global gridded precipitation products over a mountainous region of Africa. Int J Climatol J Royal Meteorol Soc 28(12):1627–1638

    Google Scholar 

  • Dorigo WA, Gruber A, De Jeu RAM, Wagner W, Stacke T, Loew A et al (2015) Evaluation of the ESA CCI soil moisture product using ground-based observations. Remote Sens Environ 162:380–395

    Google Scholar 

  • Fu C, Wang S, Xiong Z, Gutowski WJ, Lee DK, McGregor JL et al (2005) Regional Climate Model Intercomparison Project for Asia. Bull Am Meteor Soc 86(2):257–266

  • GES DISC (2011) TRMM (TMPA/3B43) Rainfall estimate L3 1 month 0.25 degree × 0.25 degree V7. Goddard Earth Sciences Data and Information Services Center (GES DISC), Greenbelt.https://doi.org/10.5067/trmm/tmpa/month/7. Accessed 18 June 2019

  • Gruber A, Su X, Kanamitsu M, Schemm J (2000) The comparison of two merged rain gauge-satellite precipitation datasets. Bull Am Meteor Soc 81(11):2631–2644

    Google Scholar 

  • Harris IPDJ, Jones PD, Osborn TJ, Lister DH (2014) Updated high resolution grids of monthly climatic observations—the CRU TS3 10 dataset. Int J Climatol 34(3):623–642

  • Hasan E, Tarhule A, Kirstetter PE, Clark R III, Hong Y (2018) Runoff sensitivity to climate change in the Nile River Basin. J Hydrol 561:312–321

    Google Scholar 

  • Henn B, Newman AJ, Livneh B, Daly C, Lundquist JD (2018) An assessment of differences in gridded precipitation datasets in complex terrain. J Hydrol 556:1205–1219

    Google Scholar 

  • Huffman GJ, Bolvin DT, Nelkin EJ, Wolff DB, Adler RF, Gu G et al (2007) The TRMM multisatellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J Hydrometeorol 8(1):38–55

    Google Scholar 

  • Isotta FA, Begert M, Frei C (2019) Long-term consistent monthly temperature and precipitation grid datasets for Switzerland over the past 150 years. J Geophys Res Atmos 124(7):3783–3799

    Google Scholar 

  • Janowiak JE, Gruber A, Kondragunta CR, Livezey RE, Huffman GJ (1998) A comparison of the NCEP–NCAR reanalysis precipitation and the GPCP rain gauge–satellite combined dataset with observational error considerations. J Clim 11(11):2960–2979

    Google Scholar 

  • Kostopoulou E, Tolika K, Tegoulias I, Giannakopoulos C, Somot S, Anagnostopoulou C, Maheras P (2009) Evaluation of a regional climate model using in situ temperature observations over the Balkan Peninsula. Tellus A Dyn Meteorol Oceanogr 61(3):357–370

    Google Scholar 

  • Laprise R (2008) Regional climate modelling. J Comput Phys 227(7):3641–3666

    Google Scholar 

  • 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 44(5):770–788

    Google Scholar 

  • Medhioub E, Bouaziz M, Achour H, Bouaziz S (2019) Monthly assessment of TRMM 3B43 rainfall data with high-density gauge stations over Tunisia. Arab J Geosci 12(2):15

    Google Scholar 

  • National Center for Atmospheric Research (1995) Global Historical Climatology Net (GHCN) version 2: temperature, precipitation, pressure. Computational and Information Systems Laboratory, National Center for Atmospheric Research, Boulder. http://rda.ucar.edu/datasets/ds564.0. Accessed 22 June 2019

  • Newman AJ, Clark MP, Craig J, Nijssen B, Wood A, Gutmann E et al (2015) Gridded ensemble precipitation and temperature estimates for the contiguous United States. J Hydrometeorol 16(6):2481–2500

    Google Scholar 

  • Park C, Min SK, Lee D, Cha DH, Suh MS, Kang HS (2016) Evaluation of multiple regional climate models for summer climate extremes over East Asia. Clim Dyn 46(7–8):2469–2486

    Google Scholar 

  • Roth V, Lemann T, Zeleke G, Subhatu AT, Nigussie TK, Hurni H (2018) Effects of climate change on water resources in the upper Blue Nile Basin of Ethiopia. Heliyon 4(9):e00771

    Google Scholar 

  • Schneider U, Becker A, Finger P, Meyer-Christoffer A, Rudolf B, Ziese M (2016) GPCC full data reanalysis version 7.0: monthly land-surface precipitation from rain gauges built on GTS based and historic data. Computational and Information Systems Laboratory, National Center for Atmospheric Research, Boulder. https://doi.org/10.5065/D6000072

  • Shepard D (1968) A two-dimensional interpolation function for irregularly-spaced data. In: ACM (ed) Proceedings of the 1968 ACM National Conference. Association for Computing Machinery, New York

  • Sun Q, Miao C, Duan Q, Ashouri H, Sorooshian S, Hsu KL (2018) A review of global precipitation data sets: data sources, estimation, and intercomparisons. Rev Geophys 56(1):79–107

    Google Scholar 

  • Tanarhte M, Hadjinicolaou P, Lelieveld J (2012) Intercomparison of temperature and precipitation data sets based on observations in the Mediterranean and the Middle East. J Geophys Res Atmos 117:D12102

  • 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

    Google Scholar 

  • Taye MT, Willems P, Block P (2015) Implications of climate change on hydrological extremes in the Blue Nile basin: a review. J Hydrol Reg Stud 4:280–293

    Google Scholar 

  • Teklesadik AD, Alemayehu T, van Griensven A, Kumar R, Liersch S, Eisner S, Tecklenburg J, Ewunte S, Wang X (2017) Inter-model comparison of hydrological impacts of climate change on the Upper Blue Nile basin using ensemble of hydrological models and global climate models. Clim Change 141(3):517–532

    Google Scholar 

  • Tietäväinen H, Tuomenvirta H, Venäläinen A (2010) Annual and seasonal mean temperatures in Finland during the last 160 years based on gridded temperature data. Int J Climatol 30(15):2247–2256

    Google Scholar 

  • Willmott CJ, Matsuura K (1995) Smart interpolation of annually averaged air temperature in the United States. J Appl Meteorol 34(12):2577–2586

    Google Scholar 

  • Willmott CJ, Matsuura K (2001) Terrestrial air temperature and precipitation: monthly and annual time series (1950–1999). http://climate.geog.udel.edu/~climate/html_pages/README.ghcn_ts2.html. Acceseed 18 June 2019

  • Willmott CJ, Robeson SM (1995) Climatologically aided interpolation (CAI) of terrestrial air temperature. Int J Climatol 15(2):221–229

    Google Scholar 

  • Willmott CJ, Rowe CM, Philpo WD (1985) Small-scale climate maps: a sensitivity analysis of some common assumptions associated with grid point interpolation and contouring. Am Cartogr 12(5–16):67

  • Worqlul A, Dile YT, Ayana E, Jeong J, Adem A, Gerik T (2018) Impact of climate change on streamflow hydrology in headwater catchments of the Upper Blue Nile Basin, Ethiopia. Water 10(2):120

    Google Scholar 

  • Yin H, Donat MG, Alexander LV, Sun Y (2015) Multi dataset comparison of gridded observed temperature and precipitation extremes over China. Int J Climatol 35(10):2809–2827

    Google Scholar 

  • Zittis G (2018) Observed rainfall trends and precipitation uncertainty in the vicinity of the Mediterranean, Middle East and North Africa. Theor Appl Climatol 134:1207–1230. https://doi.org/10.1007/s00704-017-2333-0

    Google Scholar 

Download references

Funding

The authors received no funding for this work.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mohamed Abdelwares.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Communicated by Mohamed Ksibi, Chief Editor.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abdelwares, M., Lelieveld, J., Zittis, G. et al. A comparison of gridded datasets of precipitation and temperature over the Eastern Nile Basin region. Euro-Mediterr J Environ Integr 5, 3 (2020). https://doi.org/10.1007/s41207-019-0140-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s41207-019-0140-y

Keywords

Navigation