阿姆河流域出山口Kerki站断面VIC- glacier模拟的历史和未来天然年径流量

利用经校正和验证后生成的0.25度空间分辨率的历史逐日最低、最高、降水和风速数据驱动VIC- glacier模型。选取上游10个径流观测站的天然逐月径流数据，4个气象站的观测月雪深数据、 NHSCE 遥感积雪数据和冰川面积变化数据对模型进行率定和验证 ，建立了适应于阿姆河流域的 VIC glacier 模型。 选择 CMIP6 的4个气候情景（SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5）各20个气候模式 的未来气候数据并依据校正后的历史网格数据对其进行降尺度和校正处理。以校正后的历史时期网格数据和未来 气候 数据 作为 VIC glacier 模型的气象强迫， 模拟阿姆河流域出山口Kerki站历史时期（ 1953-2019 ）和未来时期 2020-2100的天然径流量。本数据重建了中亚阿姆河流域出山口天然径流，对阿姆河流域水文水资源管理、研究气候变化和人类活动对水资源的影响有重要作用。

Historical daily minimum temperature, maximum temperature, precipitation, and wind speed data with a spatial resolution of 0.25°, which were corrected and validated, were used to drive the VIC-glacier model. Natural monthly runoff data from 10 upstream runoff observation stations, observed monthly snow depth data from 4 meteorological stations, remote sensing snow cover data from NHSCE, and glacier area change data were selected to calibrate and validate the model, thereby establishing the VIC-glacier model tailored for the Amu Darya Basin. Future climate data from 20 climate models under each of the four CMIP6 scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5) were collected, and downscaling and bias correction were performed based on the corrected historical grid data. The corrected historical grid data and future climate data were then used as meteorological forcing for the VIC-glacier model to simulate natural runoff at the Kerki Station, the mountain outlet of the Amu Darya Basin, over the historical period (1953–2019) and future period (2020–2100). This dataset reconstructs the natural runoff at the mountain outlet of the Amu Darya Basin in Central Asia, providing critical support for hydrological and water resources management in the basin as well as research on the impacts of climate change and human activities on regional water resources.

搜集汇总

背景与挑战

背景概述

该数据集包含阿姆河流域出山口Kerki站断面VIC-glacier模型模拟的历史（1953-2019）和未来（2020-2100）天然年径流量数据，未来数据基于CMIP6的4个气候情景各20个气候模式，以Excel文件形式提供，对研究气候变化和水资源管理具有重要意义。