{"id":951,"date":"2021-10-31T03:47:40","date_gmt":"2021-10-31T00:47:40","guid":{"rendered":"https:\/\/hydro-chemistry-ecology.knu.ua\/?page_id=951"},"modified":"2021-10-31T03:49:38","modified_gmt":"2021-10-31T00:49:38","slug":"%d1%81%d0%be%d0%ba%d1%83%d1%80-%d0%ba-%d1%81-%d0%bf%d0%b0%d0%bb%d0%b0%d0%bc%d0%b0%d1%80%d1%87%d1%83%d0%ba-%d0%bb-%d0%b2-%d1%81%d1%83%d0%bf%d1%83%d1%82%d0%bd%d0%b8%d0%ba%d0%be%d0%b2%d1%96-%d0%b2","status":"publish","type":"page","link":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/%d1%81%d0%be%d0%ba%d1%83%d1%80-%d0%ba-%d1%81-%d0%bf%d0%b0%d0%bb%d0%b0%d0%bc%d0%b0%d1%80%d1%87%d1%83%d0%ba-%d0%bb-%d0%b2-%d1%81%d1%83%d0%bf%d1%83%d1%82%d0%bd%d0%b8%d0%ba%d0%be%d0%b2%d1%96-%d0%b2\/","title":{"rendered":"SOKUR K., PALAMARCHUK L. SATELLITE MEASUREMENTS OF PRECIPITATION INTENSITY AND THEIR VERIFICATION"},"content":{"rendered":"\n

DOI: https:\/\/doi.org\/10.17721\/2306-5680.2021.3.5<\/a><\/strong><\/p>\n\n\n\n

Hydrology, Hydrochemistry and Hydroecology. 2021. \u2116 3 (61)
<\/a>Publication language: <\/strong>Ukrainian
Authors:
<\/strong>Sokur K., Ukrainian hydrometeorological institute
<\/strong>Palamarchuk L., Ukrainian hydrometeorological institute<\/p>\n\n\n\n

The main focus of this study was to establish the feasibility of working with the intensity data of individual events of very heavy precipitation (50 mm or more in 12 hours or less) observed over the territory of Ukraine using remote sensing data (satellite data GPM IMERG), as well as verification of satellite data with ground station data (self-recording rain gauge data). The study consisted of processing data and maps – IMERG products, building tables and graphs based on them, calculating statistical indices and evaluating them. A total of 7 statistical parameters were involved, namely systematic error (bias), mean absolute error (e \u0305), mean quadratic error (sound), Pearson correlation coefficient (r), factor 2 (FA2), factor 5 (FA5), Index of Agreement (IOA). <\/em>
<\/strong>The calculation of statistical parameters was carried out both for individual cases of very heavy precipitation and for daily precipitation totals. In both cases, unsatisfactory results were obtained. Statistical links between satellite and ground data series are insignificant, IMERG data, when assessing individual events of very heavy precipitation over the flat territories of Ukraine, demonstrate significant errors, which can be caused both by a discrepancy between the data itself for this kind of use, and by a shift in terms of coordinates, as well as time of data collection. Therefore, additional research is needed, the search for new and improvement of the proposed methodological approaches to the analysis of satellite information.<\/em><\/p>\n\n\n\n

Keywords:<\/em><\/strong> heavy precipitation, GPM IMERG, verification, statistical parameters and indices.<\/em><\/em><\/p>\n\n\n\n

References<\/strong>:
1.  E.V.Volkova Opredelenie summ osadkov po dannyim radiometrov SEVIRI\/ Meteosat-9,10 i AVHRR\/NOAA dlya Evropeyskoy territorii Rossii [Determination of precipitation amounts according to the data of SEVIRI \/ Meteosat-9,10 and AVHRR \/ NOAA radiometers for the European territory of Russia] \/ Sovremennyie problemyi distantsionnogo zondirovaniya Zemli iz kosmosa \/ t.11, #4, S.163-177.
2.  Oshurok D.O. V\u0456troenergetichn\u0456 resursi Ukra\u0457ni v suchasnih kl\u0456matichnih umovah  [Wind energy resources of Ukraine in modern climatic conditions]: dis. k.g.n. : 17.05.2021\/ Dmitro Oleksandrovich Oshurok. K., 2021.203 s.
3.  Morsy M., Scholten T., Michaelides S., Borg E., Sherief Y., Dietrich P. Comparative Analysis of TMPA and IMERG Precipitation Datasets in the Arid Environment of El-Qaa Plain Sinai. Remote Sensing. 2021, \u2116 13(4), S. 2072-4292.
4.  Liu J., Du J. Evaluating extreme precipitation estimations based on the GPM IMERG products over the Yangtze River Basin, China. Geomatics, Natural Hazards and Risk, 2020, \u2116 11(1), S. 601-618.
5.  M.S. Nashwan, S. Shahid, X. Wang Assessment of Satellite-Based Precipitation Measurement Products over the Hot Desert Climate of Egypt. Remote Sensing.2019, \u2116 11(5), S. 2072-4292.
6.  W. A.Yuda, R. Prasetia , Abd. R. As-syakur, T. Osawa, M. Nagai An assessment of IMERG rainfall products over Bali at multiple time scale. E3S Web of Conferences.2020,\u2116 153, S.1-12.
7.  S. O, U. Foelsche, G. Kirchengast, J. Fuchsberger, J. Tan, and W. A. Petersen Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria. Hydrology and Earth System Sciences. 2017, \u2116 21, S. 6559\u20136572.
8.  W. Sun, Y. Sun, X. Li, T. Wang, Y. Wang, Q. Qiu, Zh. Deng Evaluation and Correction of GPM IMERG Precipitation Products over the Capital Circle in Northeast China at Multiple Spatiotemporal Scales. Advances in Meteorology. 2018. \u2116 1, S.1-14.
9.  M. Maranan, A. H. Fink  , P. Knippertz A process-Based Validation of GPM IMERG and Its Sources Using a Mesoscale Rain Gauge Network in the West African Forest Zone. Journal of Hydrometeorologie. 2020. \u211621, S.729-749.
10. Sh. Ning,  J. Wang,  J. Jin,  H. Ishidaira Assessment of the Latest GPM-Era High-Resolution Satellite Precipitation Products by Comparison with Observation Gauge Data over the Chinese Mainland. Water. 2016, 8(11), S. 2073-4441.
11. M. T. Mahmoud, S. A. Mohammed, M. A. Hamouda, M. M. Mohamed Impact of Topography and Rainfall Intensity on the Accuracy of IMERG Precipitation Estimates in an Arid Region. Remote Sens. 2021, 13(1), S. 2072-4292.
12. F. Tian , Sh. Hou, L. Yang , H. Hu How Does the Evaluation of the GPM IMERG          Rainfall Product Depend on Gauge Density and Rainfall Intensity? Journal of Hydrometeorology<\/p>\n\n\n\n

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Sokur, K., Palamarchuk, L. (2021). Satellite measurements of precipitation intensity and their verification. Hidrolohiia, hidrokhimiia i hidroekolohiia<\/em> [Hydrology, Hydrochemistry and Hydroecology], 3(61), 42-55 (in Ukrainian, abstr. in English). https:\/\/doi.org\/10.17721\/2306-5680.2021.3.5.<\/p>\n","protected":false},"excerpt":{"rendered":"

DOI: https:\/\/doi.org\/10.17721\/2306-5680.2021.3.5 Hydrology, Hydrochemistry and Hydroecology. 2021. \u2116 3 (61)Publication language: UkrainianAuthors:Sokur K., Ukrainian hydrometeorological institutePalamarchuk L., Ukrainian hydrometeorological institute The main focus of this study was to establish the feasibility of working with the intensity data of individual events […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-951","page","type-page","status-publish","hentry"],"translation":{"provider":"WPGlobus","version":"3.0.0","language":"en","enabled_languages":["uk","en"],"languages":{"uk":{"title":true,"content":true,"excerpt":false},"en":{"title":true,"content":true,"excerpt":false}}},"_links":{"self":[{"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/pages\/951","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/comments?post=951"}],"version-history":[{"count":2,"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/pages\/951\/revisions"}],"predecessor-version":[{"id":954,"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/pages\/951\/revisions\/954"}],"wp:attachment":[{"href":"https:\/\/hydro-chemistry-ecology.knu.ua\/en\/wp-json\/wp\/v2\/media?parent=951"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}