Evaluation of precipitation data of Gamasiab basin synoptic stations in comparison with satellite data

Document Type : Original Article

Authors

1 MSc student, water resources engineering, Department of Water Science and Engineering, Faculty of Agriculture, Razi University, Kermanshah, Iran

2 Assistant professor, Department of Water Science and Engineering, Faculty of Agriculture, Razi University, Kermanshah, Iran.

Abstract

Remote sensing has been studied by many scientists and engineers today. Ground station data are stationary and there is insufficient data in large areas and difficult areas. But satellite data can be used for all regions. In this study, the precipitation data of four synoptic stations in Gamasiab basin are compared with the precipitation data of CHRIPS, ERA5, PERSIAN_CDR, GPM, GSM, TRMM, TERRA satellites. The results show that although CHRIPS satellite had a lower value of false alarm rate and relative deviation in the probabilistic criteria and PERSIAN and GSM have a higher probability of detection, but considering all the criteria, for Harsin and Kangavar stations, TERRA satellite with higher correlation coefficient and Pierce correlation coefficient and the lower the value in the error criteria and the better probability criteria, had the more accurate the estimate. ERA5 satellite also had the best estimate for Sararud and Songhor stations.This satellite has estimated the maximum precipitation at Sararud and Songhor stations, which was 351.7 and 147.9 mm, respectively, with a decrease of 178 and 155 mm by 49 and 5%, respectively.

Keywords

Main Subjects


Abdolahi, B., Hosseini-Moghari, S. M., & Ebrahimi, K. (2017). Assessment of TRMM 3B42RT V7 and CMORPH Satellites Precipitation Data in order to Estimate Precipitation in Gorganrood Basin-Iran. Iranian Journal of Watershed Management Science and Engineering, 11(36), 55-68.                                   http://dorl.net/dor/20.1001.1.20089554.1396.11.36.5.7 [in Persian]
Amorim, J. D. S., Viola, M. R., Junqueira, R., Oliveira, V. A. D., & Mello, C. R. D. (2020). Evaluation of Satellite Precipitation Products for Hydrological Modeling in the Brazilian Cerrado Biome. Water, 12(9), 2571. https://doi.org/10.3390/w12092571
Anvari, P., Alavi Moghadam, M.R., & Hosseini, F. (2019). Combining the operation of satellite and terrestrial databases in modeling the catchment water resources system (Case study: Amu Darya catchment). the 7th Comprehensive Conference on Flood Management and Engineering.                    https://civilica.com/doc/1035393 [in Persian]
Bayissa, Y., Tadesse, T., Demisse, G., & Shiferaw, A. (2017). Evaluation of satellite-based rainfall estimates and application to monitor meteorological drought for the Upper Blue Nile Basin, Ethiopia. Remote Sensing, 9(7), 669. https://doi.org/10.3390/rs9070669.
Bitew, M. M., & Gebremichael, M. (2011). Evaluation of satellite rainfall products through hydrologic simulation in a fully distributed hydrologic model. Water Resources Research, 47(6). 1-11. ‏https://doi.org/10.1029/2010WR009917
Chua, Z. W., Kuleshov, Y., & Watkins, A. (2020). Evaluation of satellite precipitation estimates over Australia. Remote Sensing, 12(4), 678. https://doi.org/10.3390/rs12040678
Erfanian, M., Kazempour, S., & Heidari, H. (2016). Calibration of TRMM satellite 3B42 and 3B43 rainfall data in climatic zones of Iran. Physical Geography Research Quarterly, 48(2), 287-303.‏ https://www.sid.ir/en/Journal/ViewPaper.aspx?ID=648922 [in Persian]
Ghahraman, B., Zangeneh Inaloo, M. R., & Faridhoseini, A. R. (2018). An Evaluation of the Accordance of Modified TRMM Satellite Precipitation Data with Observational Data in the Shapour Basin in the Fars Province. Watershed Management Research Journal, 31(4), 43-57.                           ‏ https://doi.org/10.22092/wmej.2018.123063.1139 [in Persian]
Gorjizade, A., AkhondAli, A., Shahbazi, A., & Moridi, A. (2019). Comparison and Evaluation of precipitation estimated by ERA-Interim, PERSIANN-CDR and CHIRPS models at the upstream of Maroon dam. Iran-Water Resources Research, 15(1), 267-279. ‏                                                   https://dorl.net/dor/20.1001.1.17352347.1398.15.1.20.7 [in Persian]
 Jiang, D., & Wang, K. (2019). The role of satellite-based remote sensing in improving simulated streamflow: A review. Water, 11(8), 1615. https://doi.org/10.3390/w11081615.
Kumar, D.N., & TV Reshmidevi, T.V. (2013). Remote sensing applications in water resources. Journal of the Indian Institute of Science, 93, 163-188. https://doi.org/10.1142/9789812777614_0008
Miri, M., Rahimi, M., & Noroozi, A. (2019). Evaluation and comparison of GPM and TRMM daily precipitation with observed precipitation across Iran. Watershed Engineering and Management, 11(4), 972-983. https://doi.org/10.22092/ijwmse.2018.121397.1469 [In Persian]
Ordooni, M., Memarian, H., Akbari, M., & Pourreza, M. (2021). Evaluation and Comparison of GPM Satellite Precipitation Data with Meteorological Station using Kolmogorov-Smirnov Test. Journal of Rainwater Catchment Systems, 9(2), 11-24. http://dorl.net/dor/20.1001.1.24235970.1400.9.2.5.9 [In Persian]
Ordouni, M., Memarian, H., Akbari, M., & Pourreza, M. (2020). Accuracy assessment of GPM-IMERG satellite precipitation data on half-hourly and daily time scales (Case study: Gorganroud Basin). Journal of Water and Soil Conservation, 27(4), 149-166. https://dx.doi.org/10.22069/jwsc.2020.17531.3301 [In Persian]
Payfeshordeh, F., & Hafezparast, M. (1399). Evaluation of regional precipitation data and TRMM, PERSIAN and CHIRPS satellites in Jamishan catchment, Fifth National Conference on Application of New Technologies in Engineering Sciences, Torbat Heydariyeh. https://civilica.com/ doc / 1202746 [In Persian]
Qin, Y., Chen, Z., Shen, Y., Zhang, S., & Shi, R. (2014). Evaluation of satellite rainfall estimates over the Chinese Mainland. Remote Sensing, 6(11), 11649-11672. https://doi.org/ 10.3390/rs61111649.
Safavi Gherdini, M., Delbari, M., Amiri, M., & Piri, J. (2019). Calibration of TRMM 3B43 precipitation data in Hormozgan province. Irrigation and Water Engineering, 9(3), 99-112. ‏                                                    https://doi.org/10.22125/iwe.2019.88673 [In Persian]
Shirmohammadi Aliakbarkhani, Z., Saberali, S. F., & Nastari Nasrabadi, H. (2019). Evaluation and Zoning of GPM and TRMM 3B42 V7 Satellite Rainfall Data in Northeast Iran. Journal of Meteorology and Atmospheric Science, 2(2), 179-191.                                             ‏                                                                                                                         http://www.ims-jmas.net/article_126709_3b2d3940afcc4382f5b3904b3ed81293.pdf [In Persian]
Tafteh, A., Mallah, S., & Ebrahimipak, N. (2020). Evaluation of Daily, Decade and Monthly Data Satellite Images to Estimate of Precipitation Using Google Earth engine in Khuzestan Province. Journal of Soil and Water Resources Conservation, 9(3), 93-104. https://dorl.net/dor/20.1001.1.22517480.1399.9.3.6.8 [In Persian]
Taghavi, F., Neiestani, A., & Sarmad, Gh. (2012). WRF numerical model forecasts to assess short-term rainfall during a month in Iran. Journal of Earth and Space Physics, 39(2), 145-170. https://doi.org/10.22059/JESPHYS.2013.35196
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. https://doi.org/10.3390/w8060221
Toté, C., Patricio, D., Boogaard, H., Van der Wijngaart, R., Tarnavsky, E., & Funk, C. (2015). Evaluation of satellite rainfall estimates for drought and flood monitoring in Mozambique. Remote Sensing, 7(2), 1758-1776.  https://doi.org/ 10.3390/rs70201758
Tramblay, Y., Thiemig, V., Dezetter, A., & Hanich, L. (2016). Evaluation of satellite-based rainfall products for hydrological modelling in Morocco. Hydrological Sciences Journal, 61(14), 2509-2519. https://doi.org/ 10.1080/02626667.2016.1154149
Zangenehinanlu, M., Ghahraman, B., & Faridhosseini, A. (2018). Comparison of observed rainfall and satellite rainfall data PERSIANN and CMORPH - interpolation methods in hourly and daily scale. (case study: Shopoor basin). Iran-Water Resources Research, 14(4), 1-13. http://www.iwrr.ir/article_55184.html [in Persian]