Agroclimatic indicators data of Long-Term Field Experiments in Germany - BIOCLIMATIC INDICATORS

This dataset was employed in our study titled "Climate change effects on long-term field experiments in Germany," which can be accessed with the following DOI: https://doi.org/10.1016/j.agsy.2022.103578. The dataset encompassed climate data for both the baseline period (1970-2000) and future projections (extending up to 2100), sourced from the WorldClim database (Worldclim, 2021) for the European region, with a spatial resolution of 2.5 minutes (approximately 5 kilometers). This dataset was generated as part of the Coupled Model Intercomparison Project Phase 6 (CMIP6) and included monthly records of minimum temperature, maximum temperature, and precipitation from nine global climate models (GCMs) spanning up to the year 2100. We employed the average data derived from these GCMs, incorporating data averaged over four 20-year intervals (2021–2040, 2041–2060, 2061–2080, 2081–2100). These future climate projections for Germany were based on four emission scenarios, namely SSP126, SSP245, SSP370, and SSP585. This table contains data on - BIOCLIMATIC INDICATORS Related datasets are listed in the metadata element 'Related Identifier'. Dataset version 1.0本数据集应用于我们题为《气候变化对德国长期田间试验的影响》的研究，该研究可通过以下DOI获取：https://doi.org/10.1016/j.agsy.2022.103578。本数据集涵盖基准期（1970-2000年）与未来预测时段（截至2100年）的气候数据，数据源自欧洲区域的WorldClim数据库（Worldclim, 2021），空间分辨率为2.5弧分（约5公里）。本数据集为耦合模式比较计划第六阶段（Coupled Model Intercomparison Project Phase 6, CMIP6）的产出成果，包含9个全球气候模型（Global Climate Models, GCMs）截至2100年的逐月最低气温、最高气温与降水量记录。我们采用了这些全球气候模型的平均数据，该数据基于四个20年时段（2021–2040年、2041–2060年、2061–2080年、2081–2100年）的平均结果生成。上述针对德国的未来气候预测基于四种排放情景，即SSP126、SSP245、SSP370与SSP585。本表格包含生物气候指标相关数据。相关数据集已在元数据元素“相关标识符”中列明。数据集版本为1.0。

搜集汇总

背景与挑战

背景概述

该数据集是德国长期田间实验的农业气候指标数据，用于研究气候变化对德国农业的影响。它包含基准期（1970-2000）和未来至2100年的气候数据，基于WorldClim数据库的2.5分钟分辨率，并采用CMIP6的9个全球气候模型，结合四种排放情景（SSP126、SSP245、SSP370、SSP585）进行预测，提供月温度（最小和最大）和降水记录。