中亚地区极端天气气候事件影响的脆弱性与风险评估数据集（干旱、洪水、暴雪、极寒、沙尘暴等极端事件，粮食产量、草地载畜、森林材积等承险体指标，1960-2100）

1960-2100中亚地区极端天气气候事件影响的脆弱性与风险评估数据集（干旱、洪水、暴雪、极寒、沙尘暴等极端事件，粮食产量、草地载畜、森林材积等承险体指标），包括中亚地区逐次干旱事件特征及NDVI脆弱性数据集（1982-2015）、中亚畜牧业数据（包括植被覆盖度、裸地下的土壤风蚀量、植被覆盖下的土壤风蚀量、植被防风固沙物质量、生长季开始时间、生长季结束时间、生长季长度等）、中亚畜牧业影响数据集、中亚地区森林野火脆弱性与风险数据集。原始气象数据（降水量数据、最低温、最高温数据）来源于青藏高原数据中心的“一带一路”地区极端气温指数预估数据（2020–2100）（钱诚. (2021). “一带一路”地区极端气温指数预估数据（2020–2100）. 国家青藏高原数据中心.）、“一带一路”地区极端降水指数预估数据（2020–2100）（钱诚. (2022). “一带一路”地区极端降水指数预估数据（2020–2100）. 国家青藏高原数据中心.）和第六次国际耦合模式比较计划中的RegCM模式，利用脆弱性曲线方法、RUSLE模型和RWEQ模型对数据进行分析和处理。

Vulnerability and Risk Assessment Dataset for Impacts of Extreme Weather and Climate Events in Central Asia (1960–2100) (covering extreme events including drought, flood, snowstorm, extreme cold, sandstorm, etc., and exposed element indicators such as grain yield, grassland carrying capacity, forest stock volume, etc.). This dataset includes the Sequential Drought Event Characteristics and NDVI Vulnerability Dataset of Central Asia (1982–2015), Central Asia Animal Husbandry Dataset (including vegetation coverage, soil wind erosion amount on bare land, soil wind erosion amount under vegetation cover, vegetation sand-fixing mass, start date of growing season, end date of growing season, length of growing season, etc.), Central Asia Animal Husbandry Impact Dataset, and Central Asia Forest Wildfire Vulnerability and Risk Dataset. The original meteorological data (including precipitation, minimum temperature and maximum temperature data) are sourced from the "Belt and Road" Regional Extreme Temperature Index Projection Data (2020–2100) (Qian, C. 2021. "Belt and Road" Regional Extreme Temperature Index Projection Data (2020–2100). National Tibetan Plateau Data Center.), the "Belt and Road" Regional Extreme Precipitation Index Projection Data (2020–2100) (Qian, C. 2022. "Belt and Road" Regional Extreme Precipitation Index Projection Data (2020–2100). National Tibetan Plateau Data Center.), and the RegCM model from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Data analysis and processing were conducted using vulnerability curve methodologies, the RUSLE model and the RWEQ model.

搜集汇总

背景与挑战

背景概述

该数据集覆盖1960-210年中亚地区，聚焦于极端天气气候事件（如干旱、洪水、暴雪）对脆弱性与风险的影响，并包含粮食产量、草地载畜和森林材积等承险体指标。它整合了多个子数据集，如干旱事件特征、畜牧业数据和森林野火风险，基于气象预估数据和模型分析，旨在评估气候变化下的风险与脆弱性，适用于气候变化研究和风险评估应用。