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Projection of near-future climate change and agricultural drought in Mainland Southeast Asia under RCP8.5

机译:RCP8.5根据东南亚大陆近阴气候变化和农业干旱的预测

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In order to plan for agricultural irrigation, the drought risk and amount of water needed for crops must be well studied. In this work, we apply the Standard Precipitation Index (SPI) and Crop Water Need (CWN) using input data from a fine-resolution Nested Regional Climate Model (NRCM) to assess the risk of future agricultural drought in Mainland Southeast Asia from 2020 to 2029. The NRCM was performed with resolutions of 60 and 10-km grid spacing for the present (1990-1999) and the future (2020-2029). The model employs initial and boundary conditions from the Community Climate System Model Version 4 (CCSM4) for meteorological variables. Two simulations, present-day (1990-1999) and future (2020-2029), were conducted under the Representative Concentration Pathway (RCP) 8.5 climate scenario. In general, the comparison between the NRCM predictions and observed data shows that the NRCM reasonably predicts precipitation and 2-m temperature with a high correlation of 0.89-0.98 and index of agreement (IOA) values ranging from 0.76 to 0.95. The future precipitation tends to decrease by (-1)-(1)mm/day, while the temperature will increase by up to 2-3 degrees C, which are favorable conditions for drought risk. Additionally, the SPI values between (-1.5) and 0 for both the dry and rainy seasons indicate a high possibility of drought events in the future. There seemed to be some evidence of drought risk in this region, but the calculation of CWN indicates that the region will remain relatively water rich for agriculture.
机译:为了计划农业灌溉,必须很好地研究干旱风险和作物所需的水量。在这项工作中,我们使用来自嵌套区域气候模型(NRCM)的输入数据应用标准降水指数(SPI)和作物水需求(CWN),以评估2020年的东南亚内陆未来农业干旱的风险2029. NRCM在目前(1990-1999)和未来(2020-2029)的60和10公里网格间隔的分辨率下进行。该模型采用来自社区气候系统模型版本4(CCSM4)的初始和边界条件进行气象变量。在代表性浓度途径(RCP)8.5气候情景下进行两次模拟,现今(1990-1999)和未来(2020-2029)。通常,NRCM预测和观察到的数据之间的比较表明,NRCM合理地预测了沉淀和2-M温度,高0.89-0.98和协议指数(IOA)值范围为0.76至0.95。未来沉淀趋于降低(-1) - (1)毫米/天,而温度将增加高达2-3摄氏度,这是干旱风险的有利条件。此外,干燥和雨季的SPI值(-1.5)和0之间的SPI值表明未来干旱事件的高可能性。似乎在该地区有一些有利风险的证据,但CWN的计算表明该地区仍将相对较为富含农业的水。

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