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Asia - A Set of Agroclimatic Indicators for Identifying Abiotic Stresses (Base of the analogues tool), Calculated Based on Data from the Coupled Model Intercomparison Project Phase 6 (CMIP6), Specifically the Shared Socioeconomic Pathway SSP2-4.5, for the Period 2021-2040.

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DataCite Commons2025-03-19 更新2025-04-15 收录
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https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/GTECWQ
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The purpose for creating these indicators is to perform a similarity analysis of the climatic conditions (heat, drougth and waterlogging stresses) of a specific location versus the climatic conditions where the accessions of the different crops available in Genesys were collected, within the Analogues tool. The above considers climate change scenarios, thus facilitating the adaptation of crops to future conditions. <br> <br> Methodology: To calculate these agroclimatic indicators, the data from the Coupled Model Intercomparison Project Phase 6 (CMIP6) was taken as a basis, for the Shared Socioeconomic Pathway SSP2-4.5, for the time period 2021-2040 and downscaling and bias correction were applied following the methodology proposed by Navarro-Racines et al. (2020), thus obtaining daily data in raster format during the aforementioned time period for the variables: precipitation, maximum and minimum temperature at a resolution of 5 km. With the above, the indicators were calculated by month during 2021 -2040 and finally, to summarize the calculated indicators, a multi-annual aggregation of the data was carried out.

本数据集指标的创建目的,是在相似性工具(Analogues tool)中,针对特定地点的气候条件(热胁迫、干旱胁迫与渍涝胁迫),与基因系统(Genesys)中收录的各类作物种质资源采集地的气候条件开展相似性分析。本研究同时考量了气候变化情景,以此助力作物适配未来气候条件。<br><br>方法说明:为计算上述农业气候指标,本研究以耦合模式比较计划第六阶段(Coupled Model Intercomparison Project Phase 6, CMIP6)共享社会经济路径SSP2-4.5情景下2021-2040年的气候数据为基础,并遵循Navarro-Racines等人(2020)提出的方法开展降尺度与偏差校正,最终得到该时段内分辨率为5km的降水、最高气温与最低气温逐日栅格数据。基于上述数据,本研究对2021-2040年各月的指标进行计算,最后通过多年度聚合处理对已计算的指标进行汇总。
提供机构:
Harvard Dataverse
创建时间:
2025-03-04
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