Abstract
A preliminary assessment of real-time multi-satellite precipitation products, Global Precipitation Measurement (GPM) IMERG real time (IMRT), TMPA 3B42 real time (TMPA), PERSIANN (PERS) and CMORPH (CMOR) was carried out in Pakistan on entire study area basis and by dividing the study area in to five regions. It is extended from 61o to 77o East and 23.5 o to 37 o North, with varied climatic and topographic conditions. In south coastline along the Arabian Sea, plateaus, deserts and plain areas in the center and in north snow caped mountains. A set of evaluating (continuous) statistical indices, correlation coefficient (CC), bias (Bias), root mean square error (RMSE) and detective (categorical) statistical indices, probability of detection (POD), false alarm ratio (FAR), critical success index (CSI) were applied to evaluate the satellite products against rain gauge data at daily time scales. However CC values were computed at monthly time scale and comparison between average annual values of satellite data and gauge values was also conducted. At annual basis significant resemblance was observed between spatial distribution of satellite and gauge data. At monthly time scale satellite products showed correlation in the range of 0.7 to 0.9 against reference data at major portion of the study area. But at daily time scale a weak correlation from 0.2 to 0.45, higher values of bias and RMSE in hilly terrains with highest average annual rainfall and the adjacent foot hill areas as compared to the plain areas, lower values of POD, CSI and higher values of FAR were observed. An inter comparison among the used satellite products revealed that overall performance of IMRT was better in the study area.
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References
Adler, R.F., Negri, A.J.: A satellite infrared technique to estimate tropical convective and stratiform rainfall. J. Appl. Meteorol. 27(1), 30–51 (1988)
Aghakouchak, A., Nasrollahi, N., Habib, E.: Accounting for uncertainties of the TRMM satellite estimates. Remote Sens. 1, 606–619 (2009)
Ali AF, Cunde X, Anjum MN, Adnan M, Nawaz Z, Ijaz MW, Sajid M, Farid HU Evaluation and comparison of TRMM multi-satellite precipitation products with reference to rain gauge observations in Hunza River Basin, Karakoram Range, Northern Pakistan. Sustainability 9:1954 (2017)
Anjum, M.N., Ding, Y., Shangguan, D., Tahir, A.A., Iqbal, M., Adnan, M.: Comparison of two successive versions 6 and 7 of TMPA satellite precipitation products with rain gauge data over swat watershed, Hindukush Mountains. Pakistan. Atmos. Sci. Let. 17(4), 270–279 (2016)
Anjum, M.N., Ding, Y., Shangguan, D., et al.: Performance evaluation of latest integrated multi-satellite retrievals for global precipitation measurement (IMERG) over the northern highlands of Pakistan. Atmos. Res. 205, 134–146 (2018)
Blacutt, L., Herdies, D., Goncalves, L., Vila, D., Andrade, M.: Precipitation comparison for the CFSR, MERRA, TRMM3B42 and combined scheme datasets in Bolivia. Atmos. Res. 163, 117–131 (2015)
Boushaki, F.I., Hsu, K., Sorooshian, S., Park, G., Mahani, S., Shi, W.: Bias adjustment of satellite precipitation estimation using ground-based measurement: a case study evaluation over the southwestern United States. J. Hydrometeorol. 10, 1231–1242 (2009)
Bowman, K.P.: Comparison of TRMM precipitation retrievals with rain gauge data from ocean buoys. J. Clim. 18(1), 178–190 (2005)
Cheema, M.J.M., Bastiaanssen, W.G.: Local calibration of remotely sensed rainfall from the TRMM satellite for different periods and spatial scales in the Indus Basin. Inter. J. Remote Sens. 33(8), 2603–2627 (2012)
Chen, F., Li, X.: Evaluation of IMERG and TRMM 3B43 monthly precipitation products over mainland China. Remote Sens. 8(6), 472 (2016)
Ciach, G., Krajewski, W.F.: On the estimation of radar rainfall error variance. Adv. Water Resour. 22(6), 585–595 (1999)
Derin, Y., Yilmaz, K.K.: Evaluation of multiple satellite based precipitation products over complex topography. J. Hydrometeorol. 15, 1498–1516 (2014)
Dinku, T., Ceccato, P., Grover-Kopec, E., et al.: Validation of satellite rainfall products over East Africa’s complex topography. Int. J. Remote Sens. 28(7), 1503–1526 (2007)
Ferraro, R., et al.: A screening methodology for passive microwave precipitation retrieval algorithms. J. Atmos. Sci. 55, 1583–1600 (1998)
Franchito, S.H., Rao, V.B., Vasques, A.C., et al.: Validation of TRMM precipitation radar monthly rainfall estimates over Brazil. J. Geophys. Res. 114, (2009)
Gao, Y.C., Liu, M.F.: Evaluation of high-resolution satellite precipitation products using rain gauge observations over the Tibetan plateau. Hydrol. Earth Syst. Sci. 17(2), 837–849 (2013)
Gebremichael, M., Anagnostou, E.N., Bitew, M.M.: Critical steps for continuing advancement of satellite rainfall applications for surface hydrology in the Nile river basin. J. Am. Water Resour. Assoc. 46, 361–366 (2010)
Habib, E., Larson, B.F., Graschel, J.: Validation of NEXRAD multisensory precipitation estimates using an experimental dense rain gauge network in South Louisiana. J. Hydrol. 373(3–4), 463–478 (2009)
Hong, Y., Hsu, K.L., Sorooshian, S., et al.: Precipitation estimation from remotely sensed imagery using an artificial neural network cloud classification system. J. Appl. Meteorol. 43, 1834–1852 (2004)
Hong, Y., Hsu, K.L., Moradkhani, H., Sorooshian, S.: Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response. Water Resour. Res. 42, (2006)
Hossain, F., Anagnostoub, E.N., Bagtzoglou, A.C.: On Latin hypercube sampling for efficient uncertainty estimation of satellite rainfall observations in flood prediction. Comput. Geosci. 32, 776–792 (2006)
Huffman, G.J., Adler, R.F., Bolvin, D.T., et al.: The TRMM multi-satellite precipitation analysis (TMPA): quasi-global, multiyear, combined-sensor precipitation estimates at fine scales. J. Hydrometeorol. 8, 38–55 (2007)
Hussain, Y., Sathe, F., Hussain, M.B., Martinez, H.E.: Performance of CMORPH, TMPA, and PERSIANN rainfall datasets over plain, mountainous, and glacial regions of Pakistan. Theor. Appl. Climatol. 131, 1–14 (2017)
Iqbal, M.F., Athar, H.: Validation of satellite based precipitation over diverse topography of Pakistan. Atmos. Res. 201, 247–260 (2018)
Joyce, R.J., Janowiak, J.E., Arkin, P.A., et al.: 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 (2004)
Khan, S.I., Hong, Y., Gourley, J.J., et al.: Evaluation of three high-resolution satellite precipitation estimates: potential for monsoon monitoring over Pakistan. Adv. Space Res. 54, 670–684 (2014)
Kidd, C., Huffman, G.: Global precipitation measurement. Meteorol. Appl. 18, 334–353 (2011)
Kidd, C., Levizzani, V.: Status of satellite precipitation retrievals. Hydrol. Earth Syst. Sci. 15, 1109–1116 (2011)
Kidd, C., Kniveton, D.R., Todd, M.C., et al.: Satellite rainfall estimation using combined passive microwave and infrared algorithms. J. Hydrometeorol. 4, 1088–1104 (2003)
Kim, K.Y., Park, J.M., Baik, J.J., Choi, M.H.: Evaluation of topographical and seasonal feature using GPM IMERG and TRMM 3B42 over far-East Asia. Atmos. Res. 187, 95–105 (2017)
Kummerow, C., Olson, W.S., Giglio, L.: A simplified scheme for obtaining precipitation and vertical hydrometeor profiles from passive microwave sensors. Geosci. Remote Sens. 34(5), 1213–1232 (1996)
Lensky, I.M., Rosenfeld, D.: A night-rain delineation algorithm for infrared satellite data based on microphysical considerations. J. Appl. Meteorol. 42, 1218–1226 (2003)
Li, J., Heap, A.D.: A review of spatial interpolation methods for environmental scientists, geosci. Austral, Canberra (2008)
Liu, Z.: Comparison of integrated multisatellite retrievals for GPM (IMERG) and TRMM multisatellite precipitation analysis (TMPA) monthly precipitation products: initial results. J. Hydrometeorol. 17(3), 777–790 (2015)
Ma, L., Zhang, T., Frauenfeld, O., Ye, B., Yang, D., Qin, D.: Evaluation of precipitation from the ERA-40, NCEP-1, and NCEP-2 Reanalysis and CMAP-1, CMAP-2, and GPCP-2 with ground-based measurements in China. J. Geophys. Res. (2009)
Maggioni, V., Meyers, P.C., Robinson, M.D.: A review of merged high-resolution satellite precipitation product accuracy during the tropical rainfall measuring Mission (TRMM). Era. J. Hydrometeor. 17(4), 1101–1117 (2016)
Michaelides, S., Levizzani, V., Anagnostou, E.N., et al.: Precipitation: measurement, remote sensing, climatology and modeling. Atmos. Res. 94, 512–533 (2009)
Michele, D.S., Marzano, F.S., Mugnai, A., et al.: Physically-based statistical integration of TRMM microwave measurements for precipitation profiling. Radio Sci. 38, 8072–8088 (2003)
Moazami, S., Golian, S., Kavianpour, M.R., et al.: Uncertainty analysis of bias from satellite rainfall estimates using coupla method. Atmos. Res. 137, 145–166 (2014a)
Moazami, S., Golian, S., Hong, Y., et al.: Comprehensive evaluation of four high-resolution satellite precipitation products under diverse climate conditions in Iran. Hydrol. Sci. J. 61(2), 420–440 (2014b)
Moazami, S., Golian, S., Hong, Y., Sheng, C. and Kavianpour, M.R. Comprehensive evaluation of four high‐resolution satellite precipitation products under diverse climate conditions in Iran. Hydrological Sciences Journal, 61( 2), 420– 440 (2016)
Muller, M.F., Thompson, S.E.: Bias adjustment of satellite rainfall data through stochastic modeling: methods development and application to Nepal. Adv. Water Res. 60(2013), 121–134 (2013)
Nespor, V., Sevruk, B.: Estimation of wind-induced error of rainfall gauge measurements using a numerical simulation. J. Atmos. Ocean. Technol. 16(4), 450–464 (1999)
Panegrossi, G., Dietrich, S., Marzano, F.S., et al.: Use of cloud model microphysics for passive microwave-based precipitation retrieval: significance of consistency between model and measurement manifolds. J. Atmos. Sci. 55, 1644–1673 (1998)
Prakash, S., Mitra, A.K., Momin, I.M., Pai, D.S., Rajagopal, E.N., Basu, S.: Comparison of TMPA-3B42 versions 6 and 7 precipitation products with gauge based data over India for the south-west monsoon period. J. Hydrometeorol. 16(1), 346–362 (2015a)
Prakash, S., Mitra, A.K., Pai, D.S.: Comparing two high-resolution gauge adjusted multisatellite rainfall products over India for the southwest monsoon period. Meteorol. Appl. 22(3), 679–688 (2015b)
Prakash, S., Mitra, A.K., AghaKouchak, A., Pai, D.S.: Error characterization of TRMM multisatellite precipitation analysis (TMPA-3B42) products over India for different seasons. J. Hydrol. 529(P3), 1302–1312 (2015c)
Prakash, S,. Mitra, A., and AghaKouchak, A.. A preliminary assessment of GPM-based multi-satellite precipitation estimates over a monsoon dominated region. Journal of Hydrology, 556, 865-876 (2016)
Prakash, S., Mitra, A., AghaKouchak, A.: A preliminary assessment of GPM-based multi-satellite precipitation estimates over a monsoon dominated region. J. Hydrol. 556(2018), 865–876 (2018)
Ringard, J., Becker, M., Seyler, F., Linguet, L.: Temporal and spatial assessment of four satellite rainfall estimates over French Guiana and North Brazil. Remote Sens. 7(12), 16441–16459 (2015)
Salma, S., Rehman, S., Shah, M.A.: Rainfall trends in different climate zones of Pakistan. Pak. J. Meteorol. 9(17), 37–47 (2012)
Scheel, M., Rohrer, M., Huggel, C., Villar, D., Silvestre, E., Huffman, G.: 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. Discuss. 15(8), 2649–2663 (2011)
Sun, R., Yuan, H., Liu, X., Jiang, X.: Evaluation of the latest satellite-gauge precipitation products and their hydrologic applications over the Huaihe River basin. J. Hydrol. 536, 302–319 (2016)
Tang, G., Yingzhao, M., Long, D., et al.: Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over mainland China at multiple spatiotemporal scales. J. Hydrol. 533(2016), 152–167 (2016)
Tobin, K.J., Bennett, M.E.: Adjusting satellite precipitation data to facilitate hydrologic modeling. J. Hydrometeorol. 11, 966–978 (2010)
Toté, C., Patricio, D., Boogaard, H., Van-der-Wijngaart, R., Tarnavsky, E., Funk, C.: Evaluation of satellite rainfall estimates for drought and flood monitoring in Mozambique. Remote Sens. 7(2), 1758–1776 (2015)
Ward, E., Buytaert, W., Peaver, L., Wheater, H.: Evaluation of precipitation products over complex mountainous terrain: a water resources perspective. Adv. Water Res. 34(10), 1222–1231 (2011)
Yuan, F., Zhang, L., Win, K.W.W., Ren, L., Zhao, C., Zhu, Y., Jiang, S., Liu, Y.: Assessment of GPM and TRMM multi-satellite precipitation products in stream flow simulations in a data-sparse mountainous watershed in Myanmar. Remote Sens. 9(3), 302 (2017)
Zambrano-Bigiarini, M., Nauditt, A., Birkel, C., Verbist, K., Ribbe, L.: Temporal and spatial evaluation of satellite-based rainfall estimates across the complex topographical and climatic gradients of Chile. Hydrol. Earth Syst. Sci. 21(2), 1295–1320 (2016)
Zhao, T., Fu, C.: Comparison of products from ERA-40, NCEP-2, and CRU with station data for summer precipitation over China. Adv. Atmos. Sci. 23(4), 593–604 (2006)
Acknowledgements
The authors would like to thank Center of Excellence in Water Resource Engineering for support in conducting this study. The authors are also grateful to Pakistan Meteorological Department (PMD) for providing the rain gauge data used in the study.
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Masood, M., Shakir, A.S., Azhar, A.H. et al. Assessment of Real Time, Multi-Satellite Precipitation Products under Diverse Climatic and Topographic Conditions. Asia-Pacific J Atmos Sci 56, 577–591 (2020). https://doi.org/10.1007/s13143-019-00166-1
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DOI: https://doi.org/10.1007/s13143-019-00166-1