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Europe - 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/JO152J
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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.

构建这些指标的目的在于,在Analogues工具中对特定地点的气候条件(高温、干旱及涝渍胁迫)与Genesys平台现有不同作物种质资源采集地的气候条件进行相似性分析。上述分析考虑了气候变化情景,从而为作物适应未来条件提供便利。 方法论:计算这些农业气候指标时,以第六次耦合模式比较计划(CMIP6)共享社会经济路径SSP2-4.5下2021-2040年的数据为基础,采用Navarro-Racines等人(2020)提出的方法进行降尺度与偏差校正,最终得到该时间段内分辨率为5公里的日度栅格格式数据,涵盖降水量、最高温度及最低温度等变量。基于上述数据,计算2021-2040年各月份的指标,最后通过多年度聚合对计算所得指标进行汇总。
提供机构:
Harvard Dataverse
创建时间:
2025-02-25
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