Evaluation of TerraClimate gridded data across diverse climates in Iran
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-023-00967-z.pdf
Reference28 articles.
1. Ababaei B (2020) Spatio-temporal variations of seven weather variables in Iran: application of CRU TS and GPCC data sets. Irrig Drain 69(1):164–185. https://doi.org/10.1002/ird.2399
2. Abatzoglou JT, Dobrowski SZ, Parks SA, Hegewisch KC (2018) TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015. Sci Data 5:170191. https://doi.org/10.1038/sdata.2017.191
3. Araghi A et al (2015) Using wavelet transforms to estimate surface temperature trends and dominant periodicities in Iran based on gridded reanalysis data. Atmos Res 155:52–72. https://doi.org/10.1016/j.atmosres.2014.11.016
4. Araghi A, Martinez C, Adamowski J, Olesen JE (2018) Spatiotemporal variations of aridity in Iran using high-resolution gridded data. Int J Climatol 38(6):2701–2717. https://doi.org/10.1002/joc.5454
5. Araghi A et al (2021) Investigation of satellite-related precipitation products for modeling of rainfed wheat production systems. Agric Water Manag 258:107222. https://doi.org/10.1016/j.agwat.2021.107222
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