Hi . the community,
I am using the ERA5 Land monthly data to analyze precipitation in North Eastern China. The data url is “ERA5-Land monthly averaged data from 1950 to present”. I use the webui to download the data, and the api is
import cdsapi
dataset = "reanalysis-era5-land-monthly-means"
request = {
"product_type": ["monthly_averaged_reanalysis"],
"variable": ["total_precipitation"],
"year": [
"2000", "2001", "2002",
"2003", "2004", "2005",
"2006", "2007", "2008",
"2009", "2010", "2011",
"2012", "2013", "2014",
"2015", "2016", "2017",
"2018", "2019", "2020",
"2021", "2022", "2023",
"2024"
],
"month": [
"01", "02", "03",
"04", "05", "06",
"07", "08", "09",
"10", "11", "12"
],
"time": ["00:00"],
"data_format": "netcdf",
"download_format": "zip",
"area": [45, 85, 25, 110]
}
client = cdsapi.Client()
client.retrieve(dataset, request).download()
This request will creat two file, data_0.nc data_1.nc.
And then, I merge them by cdo mergetime data_0.nc data_1.nc test.
The I plot the yearly precipitation, I found that the value in 2023 is abnormally low.
I had checked the code, and I also tried cdo yearmean. It can be ruled out that it is a problem with my calculation process.
I tried using ERA5 data (not-Land, 0.25 resolution) and this did not happen.
I noticed that it was mentioned in the known issue that there are some problems in the copy process of ERA5 Land.
Are the issues I’m having related to this?
Many thanks.