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Comparative study of performance of real-time satellite-derived rainfall in Swat Catchment

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Abstract

Most of the conventional models require rainfall data for realistic modeling results, and where ground data is scarce, remotely sensed data plays a vital role. For monitoring, hydrological models require near real-time observations to allow for effective planning and forecasting. However, monitoring rainfall in mountainous region is difficult because of inaccessibility and sparse gauge density. However, the accurateness of these satellite estimates over different spatial and temporal scales is unknown. The study intended at carrying out a comparative analysis of satellite rainfall estimates as a substitution for ground-based rainfall observations in the Swat Catchment. Limited availability of temporally continuous available data records in Pakistan has been a problem and has effected the reliability of modeling results. As well as, data is not freely available and cost is the biggest hindrance to its usage. So, remotely sensed data plays a vital role both in terms of timely availability and its free of charge. For this region, only two remotely sensed gridded data products are freely available, i.e., NOAA RFE CA and TRMM RT. Respective two products have been analyzed by various verification statistics. RFE CA proves better probability of detection, false alarm ratio, threat score, and equitable threat score than TRMM RT. The outcome of this comparative study concludes that for hydrological modeling purposes, RFE CA data is the best choice in this region. The annual bias for RFE CA and TRMM RT is 14% (over-estimation) and 18% (under-estimation) over the years having coefficient of determination with the ground-based data of 0.87 and 0.76, respectively, on annual basis. The result shows the suitability of RFE CA for effective monthly rainfall-runoff modeling in Swat Catchment, Khyber Pakhtunkhawa, Pakistan.

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Notes

  1. Famine Early Warning System

  2. download at: ftp://ftp.cpc.ncep.noaa.gov/fews/afghan/

  3. Download at: ftp://disc2.nascom.nasa.gov/ftp/data/TRMM/Gridded/Derived_Products/3B42_V7/Daily/

  4. download at: ftp://disc2.nascom.nasa.gov/ftp/data/TRMM/Gridded/Derived_Products/3B42RT/Daily/

  5. The passive microwave algorithms cannot retrieve any precipitation over a snowy/icy surface

  6. Estimated from SRTM DEM with an outlet point at Munda Dam

  7. Averaged over Swat Catchment estimated from WAPDA data available on Kalam and Munda site for years 2003–2012

References

  • 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 

  • Fu Y, Liu G (2007) Possible misidentification of rain type by TRMM PR over Tibetan plateau. J Appl Meteorol Climatol 46(5):667–672

    Article  Google Scholar 

  • Islam M.N., Das S & Uyeda H (2010) Calibration of TRMM derived rainfall over Nepal during 1998–2007. Open Atmos Sci J, 12–23

  • Kovács A, Perrochet P, Király L, Jeannin PY (2005) A quantitative method for the characterisation of karst aquifers based on spring hydrograph analysis. J Hydrol 303(1):152–164

    Article  Google Scholar 

  • Ma Z, Kang S, Zhang L, Tong L, Su X (2008) Analysis of impacts of climate variability and human activity on streamflow for a river basin in arid region of Northwest China. J Hydrol 352(3):239–249

    Article  Google Scholar 

  • Müller MF, Thompson SE (2015) A topological restricted maximum likelihood (TopREML) approach to regionalize trended runoff signatures in stream networks. Hydrol Earth Syst Sci Discuss 12(1):1355–1396

    Article  Google Scholar 

  • Nikolopoulos EI, Anagnostou EN, Hossain F, Gebremichael M, Borga M (2010) Understanding the scale relationships of uncertainty propagation of satellite rainfall through a distributed hydrologic model. J Hydrometeorol 11(2):520–532

    Article  Google Scholar 

  • R Core Team (2014) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna http://www.R-project.org

    Google Scholar 

  • Sharif M, Archer DR, Fowler HJ, Forsythe N (2013) Trends in timing and magnitude of flow in the upper Indus Basin. Hydrol Earth Syst Sci 17(4):1503–1516

    Article  Google Scholar 

  • Shrestha MS, Rajbhandari R, Bajracharya SR (2013) Validation of NOAA CPC_RFE satellite-based rainfall estimates in the central Himalayas. ICIMOD working paper 2013/5. International Centre for Integrated Mountain Development, Kathmandu

    Google Scholar 

  • Tian Y, Peters-Lidard CD (2010) A global map of uncertainties in satellite-based precipitation measurements. Geophys Res Lett 37(24):L24407

    Article  Google Scholar 

  • Tustison B, Harris D, Foufoula-Georgiou E (2001) Scale issues in verification of precipitation forecasts. Journal of Geophysical Research: Atmospheres (1984–2012) 106(D11):11775–11784

    Article  Google Scholar 

  • Wang JJ, Adler RF, Huffman GJ, Bolvin D (2014) An updated TRMM composite climatology of tropical rainfall and its validation. J Clim 27(1):273–284

    Article  Google Scholar 

  • Xie P, Arkin PA (1996) Analyses of global monthly precipitation using gauge observations, satellite estimates, and numerical model predictions. J Clim 9:840–858

    Article  Google Scholar 

  • Yilmaz KK, Hogue TS, Hsu KL, Sorooshian S, Gupta HV, Wagener T (2005) Intercomparison of rain gauge, radar, and satellite-based precipitation estimates with emphasis on hydrologic forecasting. J Hydrometeorol 6(4):497–517

    Article  Google Scholar 

Download references

Acknowledgements

We author is deeply grateful to Prof. Dr.-Ing. Wolfgang Bogacki, Vice President, HochschuleKoblenz, Klaus Jacobi and Roland Geerken, Consultants at AHT GROUP AG, Germany who has been quite patient in reviewing and improving this paper giving constructive suggestions, critical review of the work and invaluable comments for the success. I would like also to thank Khalid Mahmood, Chief Engineer, Water Resources Division, NESPAK for his guidance and encouragement for his critical comments.

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Correspondence to Muhammad Umar.

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Umar, M., Latif, A. & Mahmood, S.A. Comparative study of performance of real-time satellite-derived rainfall in Swat Catchment. Arab J Geosci 10, 126 (2017). https://doi.org/10.1007/s12517-017-2894-3

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