five

Oceania - 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 2041-2060.

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://doi.org/10.7910/DVN/TPSCCP
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. 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 2041-2060 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 2041 -2060 and finally, to summarize the calculated indicators, a multi-annual aggregation of the data was carried out.

本套指标的创建目的,是在相似性分析工具(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Genesys数据库内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。本研究同时考量气候变化情景,以此助力作物适配未来气候条件。 方法学说明:本套农业气候指标的计算以耦合模式比较计划第六阶段(Coupled Model Intercomparison Project Phase 6, CMIP6)的数据为基础,选取共享社会经济路径SSP2-4.5情境下2041-2060年的数据集,参考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数据。基于上述数据,本研究对2041-2060年各月的指标进行计算,最后通过数据的多年聚合处理完成所有计算指标的汇总。
创建时间:
2025-03-19
二维码
社区交流群
二维码
科研交流群
商业服务