Evaluation of CRU TS, GPCC, AgMERRA, and AgCFSR meteorological datasets for estimating climate and crop variables: A case study of maize in Qazvin Province, Iran

Author:

Gorgin Paveh Faraz,Ramezani Etedali Hadi,Collins Brian

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Earth-Surface Processes,Water Science and Technology

Reference57 articles.

1. Abedinpour M, Sarangi A, Rajput T B S, et al. 2012. Performance evaluation of AquaCrop model for maize crop in a semi-arid environment. Agricultural Water Management, 110: 55–66.

2. Ahmed K, Shahid S, Wang X, et al. 2019. Evaluation of gridded precipitation datasets over arid regions of Pakistan. Water, 11(2): 210, doi: https://doi.org/10.3390/w11020210.

3. Allen R G, Pereira L S, Raes D, et al. 1998. Crop evapotranspiration-Guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56. Rome: FAO, 300(9): D05109.

4. Apan A A, Raine S R, Le Brocque A, et al. 2004. Spatial prioritization of revegetation sites for dryland salinity management: An analytical framework using GIS. Journal of Environmental Planning and Management, 47(6): 811–825.

5. Bahrololoum R, Ramezani Etedali H, Azizian A, et al. 2020. Use of gridded weather datasets in simulation of wheat yield and water requirement (Case study: Iran’s Qazvin Plain). Iranian Journal of Ecohydrology, 7(3): 691–706.

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