Future projections of crop water and irrigation water requirements using a bias-corrected regional climate model coupled with CROPWAT
نویسندگان
چکیده
Abstract The study is conducted to examine the climate change impact on rice Crop Water Requirement (CWR) and Net Irrigation (NIR) using NASA Earth Exchange Global Daily Downscaled Projection (NEX-GDDP) coupled with CROPWAT 8.0 model. maximum temperature (Tmax), minimum (Tmin), rainfall projections for baseline (years 1981–2015) future 2030 2040) under Representative Concentration Pathway (RCP) 4.5 were derived from NEX-GDDP. To reduce bias, linear scaling (LS) modified difference approach (MDA) employed. Results show that LS performed better than MDA along improved statistical measures such as mean (μ), standard deviation (σ), percent bias (Pbias), in case of Tmax Tmin (μ = 31.14 19.63 °C, σ 5.75 6.78 Pbias 1.43 0.33%), followed by 2.67 mm, 4.94 2.4%). climatic showed an increasing trend both Tmin, which are expected increase 1.7 °C 2040. This would cause increased range 1.2 2% 2040, respectively. Due a wide variation effective (Peff), NIR could 4 9% above results may help formulate adaptation alleviate impacts production.
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ژورنال
عنوان ژورنال: Journal of Water and Climate Change
سال: 2023
ISSN: ['2040-2244', '2408-9354']
DOI: https://doi.org/10.2166/wcc.2023.349