Articles | Volume 13, issue 1
Earth Syst. Dynam., 13, 419–438, 2022
https://doi.org/10.5194/esd-13-419-2022
Earth Syst. Dynam., 13, 419–438, 2022
https://doi.org/10.5194/esd-13-419-2022

Research article 23 Feb 2022

Research article | 23 Feb 2022

Agricultural management effects on mean and extreme temperature trends

Aine M. Gormley-Gallagher et al.

Data sets

CRU TS Version 4.02 Climate Research Unit https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_4.02/

Gridded Population of the World , v4 GPW https://doi.org/10.7927/H49884ZR

HYDE History database of the Global Environment https://www.pbl.nl/en/image/links/hyde

USGS MODIS https://lpdaac.usgs.gov/products/myd11c3v006/

Historical Irrigation Dataset (HID) Stefan Siebert, Matti Kummu, Miina Porkka, Petra Döll, Navin Ramankutty, and Bridget R. Scanlon https://doi.org/10.13019/M20599

Model code and software

VUB-HYDR/2022_Gormley-Gallagher_etal_ESD Aine M. Gormley-Gallagher https://doi.org/10.5281/zenodo.5971570

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Short summary
Our results show that agricultural management can impact the local climate and highlight the need to evaluate land management in climate models. We use regression analysis on climate simulations and observations to assess irrigation and conservation agriculture impacts on warming trends. This allowed us to distinguish between the effects of land management and large-scale climate forcings such as rising CO2 concentrations and thus gain insight into the impacts under different climate regimes.
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