Evaluation of CRU TS4.05 and ERA5 Datasets Accuracy to Precipitation, Temperature and Potential Evapotranspiration in Different Climates across Iran

Document Type : Original Article

Authors

1 Department of Water Science and Engineering, Faculty of Agriculture and Environment, Arak University, Arak, Iran

2 Department of Environmental Science and Engineering, ّFaculty of Agriculture and Environment, Arak University, Arak, Iran.

Abstract

The main objectives of this study was the evaluation of CRU TS4.05 and ERA5 datasets accuracy to monthly precipitation (P), temperature (T) and Potential Evapotranspiration (PET) variables in different climates across Iran. To achieve the research aim, daily measured data from 100 synoptic meteorological stations and monthly P, T and PET products of CRU TS4.05 and ERA5 datasets are used at a spatial resolution of 0.5°×0.5° and 0.25°×0.25° from 1987 to 2019. The mean absolute error values for P, T and PET variables in Hyper-arid (HA), Arid (AR), Semi-arid (SA), Sub-humid (SH) and Humid (HU) climates of CRU TS4.05 datasets are equal to 6, 9, 13, 28 and 81 mm month-1, 1.7, 1.5, 1.8, 2.7, 2.5 oC and 171, 84, 38, 44 and 47 mm month-1, and of ERA5 datasets are equal to 5, 9, 18, 28 and 40 mm month-1, 1.1, 1.6, 1.9, 3.0 and 1.0 oC and 227, 91, 46, 46, 44 and 48 mm month-1, respectively. Results of this study have declared that more accuracy of two datasets (CRU TS4.05 and ERA5) to T, PET and P, respectively. Although, the main results show that accuracy of ERA5 datasets are more than CRU TS4.05 datasets, but it is recommended to use ERA5 P products in SH and HU climates, and CRU TS4.05 PET products in HA and AR climates.

Keywords

References

حسینی موغاری، س. م.، عراقی‌نژاد، ش. و ابراهیمی، ک. 1397. معرفی پایگاه‌های بارش شبکه‌بندی شده جهانی، نشریه آب و توسعه پایدار. 5(2): 153-162.
عزیزی، ج.، رسول‌زاده، ع.، رحمتی، ا.، شایقی، ا. و باختر، آ. 1399. ارزیابی عملکرد داده‌های بازتحلیل شده Era-5 در تخمین بارش روزانه و ماهانه در استان اردبیل، تحقیقات آب و خاک ایران. 51(11): 2937-2951.
محمدی، م. و اکبری، م. 1400. تحلیل هواشناختی بارش‌های سیل‌آسا و فراگیر در جنوب شرق ایران. نشریه آب و خاک (علوم و صنایع کشاورزی). 35(6): 891-907.
نویدی نساج، ب.، ظهرابی، ن.، نیکبخت شهبازی، ع. و فتحیان، ح. 1400. ارزیابی داده‌های بارش شبکه‌بندی شده جهانی در پایش خشکسالی (مطالعه موردی: حوضه آبریز کارون بزرگ). نشریه حفاظت منابع آب و خاک، 10(3): 79-96.
Harris, I., Osborn, T. J., Jones, P. and Lister, D. 2020. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Scientific Data. 7(1): 1–18.
Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., De Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Hólm, E., Janisková, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., de Rosnay, P., Rozum, I., Vamborg, F., Villaume, S. and Thépaut, J. N. 2020. The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society. 146(730): 1999–2049.
Li, M. F., Tang, X. P., Wu, W. and Liu, H. Bin. 2013. General models for estimating daily global solar radiation for different solar radiation zones in mainland China. Energy Conversion and Management. 70, 139–148.
Saemian, P., Hosseini-Moghari, S. M., Fatehi, I., Shoarinezhad, V., Modiri, E., Tourian, M. J., Tang, Q., Nowak, W., Bárdossy, A. and Sneeuw, N. 2021. Comprehensive evaluation of precipitation datasets over Iran. Journal of Hydrology. 603: 127054.
Sharafi, S. and Mohammadi Ghaleni, M. 2021a. Evaluation of multivariate linear regression for reference evapotranspiration modeling in different climates of Iran. Theoretical and Applied Climatology. 143(3): 1409–1423.
Sharafi, S. and Mohammadi Ghaleni, M. 2021b. Calibration of empirical equations for estimating reference evapotranspiration in different climates of Iran. Theoretical and Applied Climatology. 145(3–4): 925–939.
Sharafi, S. and Mohammadi Ghaleni, M. 2022. Spatial assessment of drought features over different climates and seasons across Iran. Theoretical and Applied Climatology. 147(3–4): 941–957.
Tsiros, I. X., Nastos, P., Proutsos, N. D. and Tsaousidis, A. 2020. Variability of the aridity index and related drought parameters in Greece using climatological data over the last century (1900–1997). Atmospheric Research. 240: 104914.
United Nations Educational, Scientific and Cultural Organization. 1979. Map of the world distribution of arid regions: map at scale 1:25,000,000 with explanatory note, MAB Technical Notes 7. UNESCO, Paris.
Zhang, H., Ding, J., Wang, Y., Zhou, D. and Zhu, Q. 2021. Investigation about the correlation and propagation among meteorological, agricultural and groundwater droughts over humid and arid/semi-arid basins in China. Journal of Hydrology. 603: 127007.
Iranian Journal of Irrigation & Drainage
Volume 16, Issue 5 - Serial Number 95
November and December 2022
Pages 879-890

Files

Share

How to cite

Statistics