青藏高原5Km积雪面积数据集（1980-2020）

积雪是冰冻圈重要的组成部分，积雪覆盖范围影响地气能量平衡，进而影响气候和环境变化。积雪面积是重要的积雪参数之一，是水文和气候模型的重要输入。本数据集针对中国积雪特性，基于AVHRR-CDR反射率产品，发展了多级决策树积雪判别算法，同时利用隐马尔科夫算法、多源数据融合方法实现了产品的完全去云，制备了1980-2020年空间分辨率为5km的逐日无云积雪面积数据集。该数据集以HDF5文件格式存储，每个HDF5文件包含18个数据要素，其中包括数据值、数据起始日期、经纬度等。同时为了快速预览积雪分布情况，逐日文件包含积雪面积缩略图，以tiff格式存储。数据集同时包含用户使用手册，方便用户使用。

Snow cover is a vital component of the cryosphere. The extent of snow cover affects the energy balance between the atmosphere and land, thereby influencing climate and environmental changes. Snow cover area is one of the key snow parameters, and serves as a critical input for hydrological and climate models.

This dataset was developed tailored to the snow cover characteristics across China, leveraging the AVHRR-CDR reflectance product and a multi-level decision tree-based snow discrimination algorithm. Additionally, the Hidden Markov Model (HMM) and multi-source data fusion methods were utilized to achieve complete cloud removal for the product, resulting in the creation of a daily cloud-free snow cover area dataset spanning from 1980 to 2020 with a spatial resolution of 5 km.

The dataset is stored in HDF5 file format. Each HDF5 file contains 18 data elements, including data values, data start dates, latitude and longitude, and other relevant information. To enable quick preview of snow cover distribution, the daily files include thumbnails of snow cover area stored in TIFF format. Furthermore, the dataset is accompanied by a user manual to facilitate user application.

搜集汇总

背景与挑战

背景概述

该数据集提供了1980-2020年青藏高原地区空间分辨率为5km的逐日无云积雪面积数据，采用多级决策树积雪判别算法和隐马尔科夫算法制备，以HDF5和TIFF格式存储，适用于水文和气候模型研究。数据集包含18个数据要素和积雪面积缩略图，方便用户快速预览积雪分布情况。