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EDARA：一个基于ERA5的大气河流分析数据集。

EDARA: An ERA5-based Dataset for Atmospheric River Analysis.

作者信息

Mo Ruping

机构信息

National Laboratory-West, Meteorological Service of Canada, Environment and Climate Change Canada, Vancouver, BC, Canada.

出版信息

Sci Data. 2024 Aug 17;11(1):900. doi: 10.1038/s41597-024-03679-1.

DOI:10.1038/s41597-024-03679-1
PMID:39154076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11330530/
Abstract

Atmospheric Rivers (ARs) are long and narrow bands of strong horizontal water vapour transport concentrated in the lower troposphere. ARs play an important role in producing some high-impact weather events such as extreme precipitation and flooding, damaging winds, and temperature anomalies. To facilitate various studies on the short- and long-term variability of ARs and their impacts, I compiled a multi-decade global dataset containing 12 relevant meteorological variables for AR analysis. These variables were derived from the European Centre for Medium-Range Weather Forecasts atmospheric reanalysis version 5 (ERA5). They are available at 6-hour intervals from 1940 to present. Also included in the dataset is an interactive web browser-based graphical tool for visualising the AR evolution on regional (North America) and global scales. This ERA5-based Dataset for Atmospheric River Analysis (EDARA) may serve as a valuable resource for many AR-related research and applications.

摘要

大气河流（ARs）是集中在对流层下部的狭长强水平水汽输送带。大气河流在引发一些高影响天气事件中发挥着重要作用，如极端降水和洪水、破坏性大风以及温度异常。为便于对大气河流的短期和长期变化及其影响开展各类研究，我编制了一个涵盖数十年的全球数据集，其中包含12个用于大气河流分析的相关气象变量。这些变量源自欧洲中期天气预报中心的第5版大气再分析资料（ERA5）。它们从1940年至今每6小时提供一次。数据集中还包括一个基于网络浏览器的交互式图形工具，用于可视化区域（北美）和全球尺度上的大气河流演变。这个基于ERA5的大气河流分析数据集（EDARA）可能会成为许多与大气河流相关的研究和应用的宝贵资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/424e188a6df0/41597_2024_3679_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/8271e28d8310/41597_2024_3679_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/51330cb4d9e5/41597_2024_3679_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/7535bf9ed27e/41597_2024_3679_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/7dba01268b6a/41597_2024_3679_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/f6081dbab31c/41597_2024_3679_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/73b9b7edd7ce/41597_2024_3679_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/7da740f9f580/41597_2024_3679_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/f20219e4bfef/41597_2024_3679_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/424e188a6df0/41597_2024_3679_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/8271e28d8310/41597_2024_3679_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/51330cb4d9e5/41597_2024_3679_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/7535bf9ed27e/41597_2024_3679_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/7dba01268b6a/41597_2024_3679_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/f6081dbab31c/41597_2024_3679_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/73b9b7edd7ce/41597_2024_3679_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/7da740f9f580/41597_2024_3679_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/f20219e4bfef/41597_2024_3679_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0b7/11330530/424e188a6df0/41597_2024_3679_Fig9_HTML.jpg

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