高亚洲冰川区度日因子空间分布数据集

The degree-day model, a widely used approach for ice- and snow-melt computation, rests upon a relationship between snow or ice melt and air temperature that is usually expressed in the form of positive temperature. The degree-day factor (DDF) is an important parameter for the model, and its spatial variation largely affects the accuracy of snow- and ice-melt simulations. Across High Mountain Asia (HMA), only a few glaciers have long-term observations over the past decades, leading to be unable to provide necessary parameters for regional melting simulation based on degree-day models. In this study, we collected investigations and observations on 40 glaciers located on different regions in HMA, and estimated the transfer functions for snow and ice DDFs. Then, we obtained the dataset of spatial distributions of DDFs for snow and ice in HMA. These data, with a spatial resolution of 0.5°, were stored in GeoTIFF format in 32-bit floating point. A comparison between regional mass balance simulations using this dataset and observations in a typical region confirms its accuracy. Therefore, the dataset can provide model parameters for the study of regional glacier melting process and its impact on water resources and associated glacier disasters in HMA, and can provide necessary data support for further analysis of glacier change and climate change, water resources change and its disaster effects in HMA.

度日模型（degree-day model）是当前广泛应用的冰雪融化计算方法，其构建于雪/冰融化量与气温的关联关系之上，该关系通常以正温形式表征。度日因子（degree-day factor, DDF）是该模型的核心参数，其空间变异特征极大影响冰雪融化模拟的精度。在高亚洲（High Mountain Asia, HMA）区域内，过去数十年间仅有少量冰川拥有长期观测数据，导致难以基于度日模型为区域融化模拟提供必要的参数支撑。本研究收集了高亚洲不同区域40条冰川的调研与观测数据，估算了雪、冰度日因子的传递函数，最终构建得到高亚洲雪、冰度日因子空间分布数据集。该数据集空间分辨率为0.5°，以32位浮点型GeoTIFF格式存储。利用该数据集开展的区域物质平衡模拟结果，与典型区域的实测数据对比后验证了其准确性。因此，该数据集可为高亚洲区域冰川融化过程及其对水资源与相关冰川灾害的影响研究提供模型参数，同时可为进一步分析高亚洲冰川变化与气候变化、水资源变化及其灾害效应提供必要的数据支撑。

搜集汇总

背景与挑战

背景概述

该数据集提供了高亚洲地区冰川融雪模拟所需的度日因子参数，空间分辨率为0.5°，存储格式为GeoTIFF。数据集基于40个冰川的实地观测数据，通过建立转换函数生成，可用于研究区域冰川融化过程及其对水资源和冰川灾害的影响。