GNU General Public License v3.0

项目介绍

loicduffar/ERA5-tools 是一个托管在 GitHub 上的开源项目,主要使用 Jupyter Notebook 编写,采用 GNU General Public License v3.0 许可证,目前获得 95 个 Star、19 次 Fork。

仓库全名
loicduffar/ERA5-tools
开源许可证
GNU General Public License v3.0
Star 数
95
Fork 数
19

README 摘要

ERA5-tools Python scripts to download and view ERA5 climatologic data, as well as to extract time series (hourly to monthly data on many atmospheric and land-surface parameters) How to AUTHORIZE the execution of the download code on Windows ? (only once) https://cds.climate.copernicus.eu/api-how-to If you do not have an account, please register on the CDS registration page Log in Copy the code with your personal key…

完整内容见 GitHub 原始 README 或本页 。

常见问题

ERA5-tools 用什么语言开发?

主要使用 Jupyter Notebook 编写,采用 GNU General Public License v3.0 许可证,目前有 95 个 Star。

ERA5-tools 可以免费商用吗?

仓库标注的许可证为 GNU General Public License v3.0,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 ERA5-tools 的源码?

可以直接克隆仓库:git clone https://github.com/loicduffar/ERA5-tools.git,默认分支为 main;安装与运行步骤见仓库 README。

ERA5-tools 最近还在维护吗?

仓库最近一次更新为 2023年12月27日,当前没有未关闭的 Issue;Star 数为 95,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Notebooks Python to download and view ERA5 climatologic data, as well as to extract time series (hourly to monthly data on many atmospheric and land-surface parameters)

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
137
价值分
63
活跃状态
活跃

语言占比

HTML
Jupyter Notebook

贡献者

README

ERA5-tools

Python scripts to download and view ERA5 climatologic data, as well as to extract time series (hourly to monthly data on many atmospheric and land-surface parameters)

How to AUTHORIZE the execution of the download code on Windows ? (only once)

https://cds.climate.copernicus.eu/api-how-to

  • If you do not have an account, please register on the CDS registration page

  • Log in

  • Copy the code with your personal key (see below), into the file “USER/.cdsapirc” (in Windows environment) (The file starting with a dot can be created using Notepad: “File> Save as> Type: All files> File name: .cdsfapirc”

    url: https://cds.climate.copernicus.eu/api/v2
    key: {uid}:{api-key}

Reanalysis ERA5-Land-T MONTHLY data (from 1950 to present)

Download, Mapping and time serie extraction (from Copernicus “Climate Data Store”)

Fonctionel en python 311 mais solution non trouvée dans les cellules 3, 7 et 8 pour afficher les cartes hvplot AVEC CONTOUR ET FOND DE PLAN

Avec évolution de Février 2023 (A AMELIORER EVENTUELLEMENT) pour adaptation au format ERA5-Land-T (Timely updated, NearRealTime = nouvelle dimension ‘expver’)
https://confluence.ecmwf.int/display/CUSF/ERA5+CDS+requests+which+return+a+mixture+of+ERA5+and+ERA5T+data

https://confluence.ecmwf.int/display/CKB/ERA5-Land%3A+data+documentation

MONTHLY Precipitations, runoff, potential evaporation, evaporation, temperature and snow stock.

author: Loïc Duffar https://github.com/loicduffar

How to PROCEED ?

Run cells by order:

  • 1) Data download (only NetCDF format here, because more handy than GRIB format)
  • 1bis) IF the ERA5 file is already downloaded, start by the 2nd cell instead of the 1rst one
  • 2) Customization, initialization and display netCDF file infos
  • 3) Plot annual and monthly interannual average maps (and save to files)
  • 4) Plot monthly time series (for one pixel and for a possible polygon), and export them to excel file
  • 5) Annual maps animation OPTIONNAL
  • 6) Montlhy maps animation OPTIONNAL
  • 7) Plot Maps over 12 months for a specific year (and one month map with basemap) OPTIONNAL
  • 8) Elevation map OPTIONNAL

Reanalysis ERA5-Land HOURLY data (from 1950 to present)

Download, Mapping, daily/monthly aggregation and time serie extraction (from Copernicus “Climate Data Store”)

HOURLY Precipitations, temperature, evaporation, runoff and other parameters.

author: Loïc Duffar https://github.com/loicduffar

How to PROCEED ?

Run cells in order :

  • 1) Data download (Download volume is limited by the server: you will have to adapt number of variables, the périod of time and the area and/or to split the request in several files)
  • 1bis) Edit and run the 2nd cell, instead of the 1rst one IF the ERA5 file is already downloaded
  • 2) Customization, initialization and display netCDF file infos
  • 3) Plot maps by hour/day/month and interannual average
  • 4) Plot and export dailly time serie for one pixel and for a possible polygon
  • 5) Animation maps by month, day and hour (OPTIONNAL)
  • 5bis) Animation maps by day and hour OVER A SELECTED PERIOD OF TIME. (OPTIONNAL: Use this cell instead of the one above if the navigation through the hourly data is difficult because of a file covering a very long duration; 10 years for example).

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