five

Global Snow Drought Data Set - Standardized Snow Water Equivalent Index (SWEI)

收藏
DataCite Commons2020-11-02 更新2024-07-28 收录
下载链接:
https://figshare.com/articles/dataset/Global_Snow_Drought_Data_Set_-_Standardized_Snow_Water_Equivalent_Index_SWEI_/13139699
下载链接
链接失效反馈
官方服务:
资源简介:
This data set contains information about snow droughts (or deficits in snow water equivalent, SWE) and their characteristics (e.g., duration and intensity) across the globe. The snow drought information is derived using SWE from a global reanalysis over 1980-2018, which was standardized using methods described in Huning and AghaKouchak (2020a). We provide the 3-month standardized snow drought index (SWEI) fields used to characterize and monitor snow droughts in the NetCDF4 (classic) format. Changes in snow drought characteristics for seven study regions around the world: the western United States, Europe, Hindu Kush and Central Asia, greater Himalayas, eastern Russia, extratropical Andes, and Patagonia are also provided.<br>For more information about the standardized SWE index (SWEI), refer to Huning and AghaKouchak (2020a).<br>This data set provides one SWEI file for each study year. The following data flags/codes are used in the SWEI files:FillValue: 9.9692e+36 (No data, i.e., missing value.)MissingValue: Same as FillValueNoSnowPermValue: -999 (No SWEI value is ever assigned to the grid cell. Refer to Huning and AghaKouchak (2020a).)NoSnowTempValue: -888 (SWEI value not assigned to the grid cell during this time of the year. Refer to Huning and AghaKouchak (2020a).)<br>As a condition of using data from this collection, you must cite this data set/collection and the corresponding publication: 1) Huning, L.S., and AghaKouchak, A. (2020b): Global Snow Drought Data Set, <i>figshare</i>, Collection, https://doi.org/10.6084/m9.figshare.c.5055179.<br>2) Huning, L.S., and AghaKouchak, A. (2020a): Global Snow Drought Hot Spots and Characteristics, <i>Proceedings of the National Academy of Sciences</i>, 117(33), 19753-19759, https://doi.org/10.1073/pnas.1915921117.

本数据集涵盖全球范围内雪干旱(即雪水当量(Snow Water Equivalent, SWE)亏缺)及其特征(如持续时长、强度等)的相关信息。雪干旱相关数据源自1980—2018年全球再分析数据集的雪水当量序列,并采用Huning与AghaKouchak (2020a) 提出的方法完成标准化处理。本数据集提供了用于表征与监测雪干旱的3个月尺度标准化雪水当量干旱指数(Standardized Snow Water Equivalent Drought Index, SWEI)场,数据格式为NetCDF4(经典版)。同时还同步提供了全球7个研究区域的雪干旱特征变化数据集,分别为美国西部、欧洲、兴都库什-中亚区域、大喜马拉雅区域、俄罗斯东部、安第斯山脉温带区以及巴塔哥尼亚地区。 若需了解标准化雪水当量干旱指数(SWEI)的详细信息,可参阅Huning与AghaKouchak (2020a)。 本数据集为每个研究年份对应一份SWEI数据文件。SWEI数据文件中采用了以下数据标记与代码:填充值(FillValue):9.9692e+36(无有效数据,即缺失值);缺失值(MissingValue):与填充值完全一致;永久无雪值(NoSnowPermValue):-999(该网格单元从未被分配SWEI值,详见Huning与AghaKouchak (2020a));季节无雪值(NoSnowTempValue):-888(该网格单元在本年度该时段未被分配SWEI值,详见Huning与AghaKouchak (2020a))。 使用本数据集集合中的数据时,需引用本数据集/集合及对应发表文献: 1) Huning, L.S. 与 AghaKouchak, A. (2020b):《全球雪干旱数据集》,<i>figshare</i>,数据集集合,https://doi.org/10.6084/m9.figshare.c.5055179。 2) Huning, L.S. 与 AghaKouchak, A. (2020a):《全球雪干旱热点区域与特征》,<i>美国国家科学院院刊</i>,117(33),19753-19759,https://doi.org/10.1073/pnas.1915921117。
提供机构:
figshare
创建时间:
2020-10-25
搜集汇总
数据集介绍
main_image_url
背景与挑战
背景概述
该数据集提供了1980-2018年全球范围内的标准化雪水当量指数(SWEI),用于监测和分析雪旱情况,特别关注七个特定研究区域。数据以NetCDF4格式存储,包含雪旱持续时间、强度等特征信息,并提供了详细的数据标志和引用要求。
以上内容由遇见数据集搜集并总结生成
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作