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 SSP5-8.5, for the Period 2021-2040.
收藏DataCite Commons2025-03-19 更新2025-04-15 收录
下载链接:
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/NDLD8L
下载链接
链接失效反馈官方服务:
资源简介:
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 SSP5-8.5, 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 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.
本批农业气候指标的构建初衷,是在类比工具(Analogues tool)中,针对特定地点的气候条件(热胁迫、干旱胁迫与涝渍胁迫),与Genesys数据库收录的各类作物种质材料的采集地气候条件开展相似性分析;本次分析纳入气候变化情景,以此助力作物适配未来气候条件。<br><br>研究方法:计算此类农业气候指标时,以耦合模式比较计划第六阶段(Coupled Model Intercomparison Project Phase 6,CMIP6)的数据集为基础,选取共享社会经济路径SSP5-8.5(Shared Socioeconomic Pathway SSP5-8.5),时段设定为2021-2040年;随后遵循Navarro-Racines等(2020)提出的方法开展降尺度与偏差校正,最终得到该时段内降水、最高气温与最低气温的日尺度数据,空间分辨率达5千米。基于上述数据,于2021-2040年逐月计算各项指标;最终通过多年度聚合对计算得到的指标进行汇总整理。
提供机构:
Harvard Dataverse
创建时间:
2025-03-04



