程序中以"reanalysis-era5-single-levels"的"2m_temperature"为例,可以自己更改数据集和变量名等参数,这些参数的获取可以参考官网ERA-5和ERA-5 Land下载页面最下方提供的Show API request按钮或者参考Daily statistics calculated from ERA5 data (copernicus.eu)中的Source code。 ——原帖在气象家园——ERA5逐日资料下载方法-数据资料-气象家园_气象人自己的家园...
以ERA5-land的降水 Total precipitation为例, 日平均的月平均积累包含单位 per day:The accumulations in monthly means of daily means have been scaled to have units that include "per day" 单位为 m (of water equivalent per day) 转换为月降水:×1000×天数 转换为年降水:月降水的累积值 1)2m dewpo...
此外deepseek还指出来一条：当grid分辨率高于0.25°时，CDS系统强制使用GRIB格式（即使指定data_format=n...
Use script below to download daily total precipitation ERA5 data for 1st and 2nd January 2017. This script will download total precipitation, in hourly steps, from CDS (Climate Data Store). Notice to cover total precipitation for 1st January 2017, we need two days of data. 1st January 2017 ...
Precipitation - daily_total Daily potential evaporation Soil temperature: 0 --7cm - daily_minimum Soil temperature: 0--7cm - daily_maximum Steps The output continuous dataset will combine the historical and forecast data in the following way ...
However, because of underestimation existing in commonly used evaluation benchmark, gauge precipitation data, it is necessary to investigate the influence of systematic errors in gauge data on the performance evaluation of satellite and reanalysis precipitation datasets. Daily satellite-based IMERG and ...
2 Data and methods We have analysed daily total precipitation data provided by the fifth generation of the ECMWF reanalysis (ERA5), downloaded in October 2022 from the Copernicus Climate Change Service Climate Data Store (CDS). ERA5 is based on four-dimensional variational (4D-Var) data assimil...
损坏问题已于2021年4月14日解决。建议在2021-04-15年度之前已经下载过这些字段的用户重新下载。 以下是邮件提醒: 扫描二维码或复制链接查看具体损坏字段信息 https://confluence.ecmwf.int/display/CKB/ERA5+CDS%3A+Data+corruption#ERA5CDS:Datacorruption-Listofcorruptedfields —END—...
本教程面向零基础用户,指导如何使用era5_to_int.py将ERA5气象数据转换为WRF/MPAS-A模型所需的中间格式。 一、前期准备 1. 安装Python环境 Python版本:3.11 或更高(可在Python官网下载)。 安装依赖库:打开终端/命令提示符,输入以下命令安装所需库:
(2019) evaluated the performance of ECMWF data on a daily and monthly timescale in the Sefid-rud watershed in Northern Iran during the period from 2000 to 2008. The results of the precipitation evaluation in this watershed indicate that these data have a high correlation with ground stations, ...