Politeknik Dergisi

2147-9429

Gazi University

10.2339/politeknik.1655165

Civil Engineering (Other)

İnşaat Mühendisliği (Diğer)

Susurluk Havzasında Üç Farklı Grid Yağış Veri Setinin Ölçüm Verileriyle Karşılaştırılarak Performanslarının Değerlendirilmesi

Evaluating the Performance of Three Different Gridded Precipitation Datasets by Comparing the Measurement Dataset in the Susurluk Basin

https://orcid.org/0000-0002-9626-7652

Saracoglu

Fevziye Ayca

Çanakkale 18 Mart Üniversitesi

https://orcid.org/0000-0002-0837-9110

Saraçoğlu

Kebir Emre

North Carolina State University

03 15 2026

29 2 1 18 03 10 2025 05 16 2025

1998

Journal of Polytechnic

ÖZ Son yıllarda, uzamsal-zamansal dağılımı doğru yansıtan uzun dönemli yağış verilerine olan ihtiyaç artmaktadır. Bu ihtiyacı karşılamak amacıyla grid formatında çeşitli yağış veri setleri geliştirilmektedir. Ancak, grid yağış veri setlerinin kullanılmadan önce doğruluklarının ölçüm veri setleriyle kıyaslanarak analiz edilmesi gerekmektedir. Bu amaçla, Susurluk Havzasında 3 farklı aylık grid yağış veri seti (Climatic Research Unit (CRU), Global Precipitation Climatology Center (GPCC) ve University of Delaware (UDEL)) ile ölçüm veri seti aylık, mevsimsel ve yıllık ölçekte 1966-2017 yıllarını kapsayacak şekilde karşılaştırılmıştır. Ölçüm veri seti, Meteoroloji Genel Müdürlüğü’nün Bandırma, Bursa, Dursunbey, Keles, Simav ve Tavşanlı istasyonlarından edinilmiştir. Grid yağış veri setleri ile ölçüm veri seti arasındaki uyum, Belirtme Katsayısı (R2). Kök Ortalama Kare Hatası (RMSE), Ortalama Sapma Hatası (MBE) ve Nash-Sutcliffe Verim İndeksi (NSE) istatistiksel indeksleri kullanılarak değerlendirilmiştir. Grid yağış veri setleri arasında, GPCC genel olarak en iyi performansı sergilerken, CRU en düşük performansı göstermiştir. Ayrıca, grid veri setlerinin düşük rakımlı bölgelerde ölçüm veri setiyle daha uyumlu olduğu gözlemlenmiştir. Yağışlı dönemlerde (kış ve sonbahar), grid yağış veri setlerinin ölçüm veri setiyle daha iyi bir uyum sağladığı tespit edilmiştir.

In recent years, the need for long-term precipitation datasets that accurately represent spatiotemporal distribution has significantly increased. To meet this need, various gridded precipitation datasets have been developed. However, before utilizing these datasets, their accuracy must be assessed by comparing them with measurement datasets. For this purpose, the performance of three different monthly gridded precipitation datasets (Climatic Research Unit (CRU), Global Precipitation Climatology Center (GPCC) and University of Delaware (UDEL)) was evaluated in the Susurluk Basin over the period 1966–2017 at monthly, seasonal, and annual scales. The measurement dataset was obtained from six meteorological stations (Bandırma, Bursa, Dursunbey, Keles, Simav, and Tavşanlı) operated by the Turkish State Meteorological Service. The agreement between gridded and measurement datasets was assessed using statistical indexes such as the Coefficient of Determination (R²), Root Mean Square Error (RMSE), Mean Bias Error (MBE), and Nash-Sutcliffe Efficiency Index (NSE). Among the gridded datasets, GPCC demonstrated the best overall performance, while CRU showed the lowest performance. Additionally, it was observed that the gridded datasets exhibited higher consistency with measurement dataset in low-altitude regions. During wet seasons (winter and autumn), gridded precipitation datasets showed better agreement with the measurement dataset.

Yağış Grid Yağış Veri Seti Performans Değerlendirme Susurluk Havzası

Precipitation Gridded Precipitation Dataset Performance Evaluation Susurluk Basin.

[1] Behrangi A, Khakbaz B, Jaw TC, AghaKouchak A, Hsu K, Sorooshian S. “Hydrologic evaluation of satellite precipitation products over a mid-size basin”. Journal of Hydrology, 397 (3–4), 225–237, (2011).

[2] Wang F, Yang H, Wang Z, Zhang Z, Li Z. “Drought evaluation with CMORPH satellite precipitation data in the Yellow River Basin by using Gridded Standardized Precipitation Evapotranspiration Index”. Remote Sensing, 11 (485), (2019).

[3] Gago-Silva A, Lehmann A, Goyette S. “Daily gridded temperature and precipitation datasets over the Black Sea catchment: 1961–1990 and climate change scenarios for 2071–2100”. Theoretical and Applied Climatology, 142, 805–830, (2020).

[4] Tarek M, Brissette F, Arsenault R. “Large-scale analysis of global gridded precipitation and temperature datasets for climate change impact studies”, Journal of Hydrometeorology, 21 (11), 2623–2640, (2020).

[5] Nassaj BN, Zohrabi N, Shahbazi AN, Fathian H. “Evaluation of three gauge-based global gridded precipitation datasets for drought monitoring over Iran”, Hydrological Sciences Journal, 66 (14), 2033–2045, (2021).

[6] Ang R, Kinouchi T, Zhao W. “Evaluation of daily gridded meteorological datasets for hydrological modeling in data-sparse basins of the largest lake in Southeast Asia”. Journal of Hydrology: Regional Studies, 42, (2022).

[7] Usman M, Ndehedehe CE, Ahmad B, Manzanas R, Adeyeri OE. “Modeling streamflow using multiple precipitation products in a topographically complex catchment”. Modeling Earth Systems and Environment, 8 (2), 1875–1885, (2022).

[8] Yılmaz M. “Konya Kapalı Havzası’nın TMPA uydu kaynaklı yağış verileri ile kuraklık analizi”. Journal of the Faculty of Engineering and Architecture of Gazi University, 32:2, 541-549, (2017).

[9] Dinku T. Connor SJ, Ceccato P, Ropelewski CF. “Comparison of global gridded precipitation products over a mountainous region of Africa”. International Journal of Climatology, 28, 1627–1638, (2008).

[10] Lamptey BL. “Comparison of gridded multisatellite rainfall estimates with gridded gauge rainfall over West Africa”. Journal of Applied Meteorology Climatology., 47 (1), 185–205, (2008).

[11] Akinsanola AA, Ogunjobi KO, Ajayi VO, Adefisan EA, Omotosho JA, Sanogo S. “Comparison of five gridded precipitation products at climatological scales over West Africa”. Meteorology and Atmospheric Physics, 129 (6), 669–689, (2017).

[12] Musie M, Sen S, Srivastava P. “Comparison and evaluation of gridded precipitation datasets for streamflow simulation in data scarce watersheds of Ethiopia”. Journal of Hydrology, 579, (2019).

[13] Abdelwares M, Lelieveld J, Zittis G, Haggag M, Wagdy A. “A comparison of gridded datasets of precipitation and temperature over the Eastern Nile Basin region”. Euro-Mediterranean Journal for Environmental Integration, 5 (3), (2020).

[14] Satgé F, Defrance D, Sultan B, Bonnet MP, Seyler F, Rouché N, Pierron F, Paturel JE. “Evaluation of 23 gridded precipitation datasets across West Africa”. Journal of Hydrology, 581, (2020).

[15] Nakulopa F, Vanderkelen I, Walle JV, Van Lipzig NPM, Tabari H, Jacobs L, Tweheyo C, Dewitte O, Thiery W. “Evaluation of high-resolution precipitation products over the Rwenzori Mountains (Uganda)”. Journal of Hydrometeorology, 23 (5), 747–768. (2022).

[16] Yang Y, Tang J, Xiong Z, Dong X. “Evaluation of high-resolution gridded precipitation data in arid and semiarid regions: Heihe River Basin, Northwest China”. Journal of Hydrometeorology, 18 (12),3075–3101, (2017).

[17] Faiz MA, Liu D, Fu Q, Sun Q, Li M, Baig F, Li T, Cui S, “How accurate are the performances of gridded precipitation data products over Northeast China?”. Atmospheric Research, 211, 12–20, (2018).

[18] Gao Z, Huang B, Ma Z, Chen X, Qiu J, Liu D. “Comprehensive comparisons of state-of-the-art gridded precipitation estimates for hydrological applications over Southern China”. Remote Sensing, 12 (23),1–20, (2020).

[19] Zhang L, Lan P, Qin G, Mello CR, Boyer EW, Luo P, Guo L. “Evaluation of three gridded precipitation products to quantify water inputs over complex mountainous terrain of Western China”. Remote Sensing, 13 (3975), (2021).

[20] Rao P, Wang F, Yuan X, Liu Y, Jiao Y. “Evaluation and comparison of 11 sets of gridded precipitation products over the Qinghai-Tibet Plateau”, Atmospheric Research, 302, (2024).

[21] Li D, Min X, Xu J, Xue J, Shi Z, “Assessment of three gridded satellite-based precipitation products and their performance variabilities during typhoons over Zhejiang, Southeastern China”. Journal of Hydrology, 610, (2022).

[22] Bhardwaj A, Ziegler AD, Wasson RJ, Chow WTL. “Accuracy of rainfall estimates at high altitude in the Garhwal Himalaya (India): A comparison of secondary precipitation products and station rainfall measurements”. Atmospheric Research, 188, 30–38, (2017).

[23] Kanda N, Negi HS, Rishi MS, Kumar A. “Performance of various gridded temperature and precipitation datasets over Northwest Himalayan Region”. Environmental. Research Communications, 2 (8), (2020).

[24] Setti S, Maheswaran R, Sridhar V, Barik KK, Merz B, Agarwal A. “Inter-comparison of gauge-based gridded data, reanalysis and satellite precipitation product with an emphasis on hydrological modeling”. Atmosphere, 11, 1–26, (2020).

[25] Eini MR, Olyaei MA, Kamyab T, Teymoori J, Brocca L, Piniewski M, “Evaluating three non-gauge-corrected satellite precipitation estimates by a regional gauge interpolated dataset over Iran”. Journal of Hydrology: Regional Studies, 38, (2021).

[26] Nassaj BN, Zohrabi N, Shahbazi AN, Fathian H. “Evaluating the performance of eight global gridded precipitation datasets across Iran”. Dynamics of Atmospheres and Oceans, 98, (2022).

[27] Araghi A, Adamowski JF, “Assessment of 30 gridded precipitation datasets over different climates on a country scale”. Earth Science Informatics, 17, 1301–1313, (2024).

[28] Ullah W, Wang G, Ali G, Hagan DFT, Bhatti AS, Lou D. “Comparing Multiple Precipitation Products against In-Situ Observations over Different Climate Regions of Pakistan”. Remote Sensing, 11 (6), 628, (2019).

[29] Iqbal SW, Latif M, Ahmed R, Adnan S, Umar M, Ahmad B, Azam M, Syed JH. “Performance evaluation and comparison of observed and reanalysis gridded precipitation datasets over Pakistan”. Theoretical and Applied Climatology, (2022).

[30] Tan X, Ma Z, He K, Han X, Ji Q, He Y. “Evaluations on gridded precipitation products spanning more than half a century over the Tibetan Plateau and its surroundings”. Journal of Hydrology, 582, (2020).

[31] Mishra B, Panthi S, Ghimire BR, Poudel S, Maharjan B, Mishra Y. “Gridded precipitation products on the Hindu Kush-Himalaya: Performance and accuracy of seven precipitation products”. PLOS Water, 2(8): e0000145, (2023).

[32] Dhungana S, Shrestha S, Van TP. et al. “Evaluation of gridded precipitation products in the selected sub-basins of Lower Mekong River Basin”. Theoretical and Applied Climatology, 151, 293–310, (2023).

[33] Islam MA, Yu B, Cartwright N. “Assessment and comparison of five satellite precipitation products in Australia”. Journal of Hydrology, 590, (2020).

[34] Henn B, Newman AJ, Livneh B, Daly C, Lundquist JD, “An assessment of differences in gridded precipitation datasets in complex terrain”. Journal of Hydrology, 556, 1205–1219, (2018).

[35] Hong Y, Do HX, Kessler J, Fry L, Read L, Nasab AR, Gronewold AD, Mason L, Anderson EJ. “Evaluation of gridded precipitation datasets over international basins and large lakes”. Journal of Hydrology, 607, (2022).

[36] Prat OP, Nelson BR, Nickl E, Leeper RD. “Global evaluation of gridded satellite precipitation products from the NOAA Climate Data Record Program”. Journal of Hydrometeorology, 22, 2291–2310, (2021).

[37] Ahady AB, Pekkan E, Sorman AA, Deliry SI. “Evaluating the hydrological performance of gridded precipitation datasets using GR2M for a mountainous watershed in Turkey”. Arabian Journal of Geosciences, 15 (8), (2022).

[38] Swalih SA, Kahya E. “Performance of gridded precipitation products in the Black Sea region for hydrological studies”. Theoretical and Applied Climatology, 149 (1–2), 465–485, (2022).

[39] Derin Y, Yılmaz KK. “Evaluation of Multiple Satellite-Based Precipitation Products over Complex Topography”. Journal of Hydrometeorology, 15(4), 1498-1516, (2014).

[40] Irvem A, Özbuldu M. “Evaluation of Satellite and Reanalysis Precipitation Products Using GIS for All Basins in Turkey”. Advances in Meteorology, 2019 (1), (2019).

[41] Aksu H, Akgül MA. “Performance evaluation of CHIRPS satellite precipitation estimates over Turkey”., Theoretical and Applied Climatology, 142, 71-84, (2020).

[42] Amjad M, Yılmaz MT, Yücel İ, Yılmaz KK, “Performance evaluation of satellite- and model-based precipitation products over varying climate and complex topography”. Journal of Hydrology, 584, (2020).

[43] Hafizi H, Sorman AA. “Assessment of 13 Gridded Precipitation Datasets for Hydrological Modeling in a Mountainous Basin”. Atmosphere ,13, 143, (2022).

[44] Tarım ve Orman Bakanlığı, Su Yönetimi Genel Müdürlüğü, Taşkın ve Kuraklık Yönetimi Dairesi Başkanlığı, Sakarya ve Susurluk Havzaları Kuraklık Yönetim Planının Hazırlanması Projesi, Susurluk Havzası Kuraklık Yönetim Planı, Stratejik Çevresel Değerlendirme Nihai Raporu, Ankara, Türkiye, (2023).

[45] Tarım ve Orman Bakanlığı, Susurluk Nehir Havzası Yönetim Planı, Havza Koruma Eylem Planlarının Nehir Havzası Yönetim Planlarına Dönüştürülmesi için Teknik Yardım, TR2011/0327.21-05-01-001, Ankara, Türkiye (2018).

[46] Çevre, Şehircilik ve İklim Değişikliği Bakanlığı, Meteoroloji Genel Müdürlüğü, “Resmi İklim İstatistikleri-Balıkesir”. https://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx?k=A&m=BALIKESIR . (16.01.2025).

[47] Çevre, Şehircilik ve İklim Değişikliği Bakanlığı, Meteoroloji Genel Müdürlüğü, “Resmi İklim İstatistikleri-Bursa”. https://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx?k=A&m=BURSA . (16.01.2025).

[48] Çevre, Şehircilik ve İklim Değişikliği Bakanlığı, Meteoroloji Genel Müdürlüğü, “Resmi İklim İstatistikleri-Kütahya”. https://www.mgm.gov.tr/veridegerlendirme/il-ve-ilceler-istatistik.aspx?k=A&m=KUTAHYA . (16.01.2025).

[49] Yeşilırmak E, Atatanır L. “Spatiotemporal variability of precipitation concentration in western Turkey”. Natural Hazards, 81, 687-704, (2016).

[50] Sun Q, Miao C, Duan Q, Ashouri H, Sorooshian S, Hsu K. “A review of global precipitation data sets: Data sources, estimation, and Intercomparisons”. Review of Geophysics. 56 (1), 79–107, (2018).

[51] “High-Resolution Gridded datasets (and derived products)”, https://crudata.uea.ac.uk/cru/data/hrg/ (02.02.2024).

[52] Harris I, Jones PD, Osborn TJ, Lister DH. “Updated high-resolution grids of monthly climatic observations - the CRU TS3.10 Dataset”. International Journal of Climatology, 34, 623-642, (2014).

[53] Harris I, Osborn TJ, Jones PD, Lister DH. “Version 4 of the CRU TS Monthly High-Resolution Gridded Multivariate Climate Dataset”. Scientific Data, 7, 109, (2020).

[54] New M, Hulme M, Jones PD, “Representing twentieth-century space-time climate variability. Part I: development of a 1961–90 mean monthly terrestrial climatology”. Journal of Climate, 12, 829–856, (1999).

[55] New M, Hulme M, Jones PD. “Representing twentieth-century space-time climate variability. Part II: development of 1901–96 monthly grids of terrestrial surface climate”. Journal of Climate, 13(333), 2217–2238, (2000).

[56] Mitchell TD, Jones PD, “An improved method of constructing a database of monthly climate observations and associated high resolution grids”. International Journal of Climatology, 25, 693–712, (2005).

[57] Global Precipitation Climatology Centre (GPCC) at Deutscher Wetterdienst, “GPCC Full Data Monthly Product Version 2020”, https://opendata.dwd.de/climate_environment/GPCC/html/fulldata-monthly_v2020_doi_download.html). (01.02.2024).

[58] Schneider U, Becker A, Finger P, Rustemeier E, Ziese M, “GPCC Full Data Monthly Product Version 2020 at 0.25°: Monthly Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historical Data”, Global Precipitation Climatology Centre (GPCC), (2020).

[59] NOAA, Physical Sciences Laboratory, “University of Delaware Terrestrial Precipitation”. https://psl.noaa.gov/data/gridded/data.UDel_AirT_Precip.html (02.02.2024).

[60] Willmott CJ, Matsuura K, “Terrestrial air temperature and precipitation: monthly and annual time series (1950–1999)”. Center for Climatic Research, Department of Geography, University of Delaware, (2001).

[61] Zhang M, Leon C, Migliaccio K. “Evaluation and comparison of interpolated gauge rainfall data and gridded rainfall data in Florida, USA”, Hydrological Sciences Journal, 63 (4), 561-582, (2018).

[62] Ma L, Zhang T, Frauenfeld OW, 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”, Journal of Geophysical Research: Atmospheres, 114 ,D09105, (2009).

[63] Blacutt LA, Herdies DL, Gonçalves LGG., Vila DA, Andrade M. “Precipitation comparison for the CFSR, MERRA, TRMM3B42 and combined scheme datasets in Bolivia”. Atmospheric Research, 163,117–131, (2015). [64] Hu Z, Li Q, Chen X, Teng Z, Chen C, Yin G, Zhang Y. ”Climate changes in temperature and precipitation extremes in an alpine grassland of central Asia”, Theoretical and Applied Climatology, 126, 519–531, (2016).

[65] Satgé F, Defrance D, Sultan B, Bonnet MP, Seyler F, Rouché N, Pierron F, Paturel JE. “Evaluation of 23 gridded precipitation datasets across West Africa”, Journal of Hydrology, 581, (2020).

[66] Ahmed K, Shahid S, Wang X, Nawaz N, Khan N. “Evaluation of Gridded precipitation datasets over arid regions of Pakistan”. Water, 11 (2), 210, (2019).

[67] Saemian P, Hosseini-Moghari SM, Fatehi I, Shoarinezhad V, Modiri E, Tourian MJ, Tanng Q, Nowak W, Bárdossy A, Sneeuw N. “Comprehensive evaluation of precipitation datasets over Iran”. Journal of Hydrology, 603, (2021).