ERA5 Datasets available in CDS
The ERA5CDStore
Type of the parent type of all ERA5 Datasets that are naturally available from the Climate Data Store and can thus be downloaded directly using the CDSAPI.
The Climate Data Store also has an option to download ERA5 Monthly data by hour-of-day. This is subsumed into the ERA5Monthly dataset and can be selected by specifying hours = true
.
ERA5Reanalysis.ERA5Hourly
— TypeERA5Hourly <: ERA5CDStore
Specifies that the dataset to be analyzed contains hourly data. All fields are the same as that specified in the ERA5Dataset
docstring.
ERA5Reanalysis.ERA5Monthly
— TypeERA5Monthly <: ERA5CDStore
Specifies that the dataset to be analyzed contains monthly-mean data. The ERA5Monthly
Type will also contain the following fields:
hours
: specifies the hour(s) of day for which monthly data is downloaded
There are other potential modules that could be incorporated into ERA5Reanalysis.jl, such as
- ERA5-Land data
- Ensemble model averages, individual members, and standard deviations
They have not been added yet into ERA5Reanalysis.jl. If you are potentially interested in me adding these datasets to ERA5Reanalysis.jl, please submit a pull request.
API
ERA5Reanalysis.ERA5Hourly
— MethodERA5Hourly(;
+Climate Data Store Datasets · ERA5Reanalysis.jl ERA5 Datasets available in CDS
The ERA5CDStore
Type of the parent type of all ERA5 Datasets that are naturally available from the Climate Data Store and can thus be downloaded directly using the CDSAPI.
Note The Climate Data Store also has an option to download ERA5 Monthly data by hour-of-day. This is subsumed into the ERA5Monthly dataset and can be selected by specifying hours = true
.
ERA5Reanalysis.ERA5Hourly
— TypeERA5Hourly <: ERA5CDStore
Specifies that the dataset to be analyzed contains hourly data. All fields are the same as that specified in the ERA5Dataset
docstring.
sourceERA5Reanalysis.ERA5Monthly
— TypeERA5Monthly <: ERA5CDStore
Specifies that the dataset to be analyzed contains monthly-mean data. The ERA5Monthly
Type will also contain the following fields:
hours
: specifies the hour(s) of day for which monthly data is downloaded
sourceThere are other potential modules that could be incorporated into ERA5Reanalysis.jl, such as
- ERA5-Land data
- Ensemble model averages, individual members, and standard deviations
They have not been added yet into ERA5Reanalysis.jl. If you are potentially interested in me adding these datasets to ERA5Reanalysis.jl, please submit a pull request.
API
ERA5Reanalysis.ERA5Hourly
— MethodERA5Hourly(;
start :: TimeType,
stop :: TimeType,
path :: AbstractString = homedir(),
-) -> ERA5Hourly <: ERA5Dataset
A function that creates an ERA5Hourly
module. All possible hours are downloaded, and data is saved month-by-month.
Keyword Arguments
path
: The specified directory in which to save the datastart
: The date for which downloads/analysis begins, automatically rounded to the nearest monthstop
: The date for which downloads/analysis finishes, automatically rounded to the nearest month
sourceERA5Reanalysis.ERA5Monthly
— MethodERA5Monthly(;
+) -> ERA5Hourly <: ERA5Dataset
A function that creates an ERA5Hourly
module. All possible hours are downloaded, and data is saved month-by-month.
Keyword Arguments
path
: The specified directory in which to save the datastart
: The date for which downloads/analysis begins, automatically rounded to the nearest monthstop
: The date for which downloads/analysis finishes, automatically rounded to the nearest month
sourceERA5Reanalysis.ERA5Monthly
— MethodERA5Monthly(;
start :: TimeType,
stop :: TimeType,
path :: AbstractString = homedir(),
hours :: Bool = false,
-) -> ERA5Monthly <: ERA5Dataset or ERA5MonthlyHour <: ERA5Dataset
A function that creates an ERA5Monthly
or ERA5MonthlyHour
module depending on the input arguments of hours
. Data is saved year-by-year.
Keyword Arguments
path
: The specified directory in which to save the datastart
: The date for which downloads/analysis begins, automatically rounded to the nearest yearstop
: The date for which downloads/analysis finishes, automatically rounded to the nearest yearhours
: If false, download monthly-averaged data. If true, download monthly-averaged data for each hour
sourceSettings
This document was generated with Documenter.jl version 1.2.1 on Monday 19 February 2024. Using Julia version 1.10.1.
+) -> ERA5Monthly <: ERA5Dataset or ERA5MonthlyHour <: ERA5Dataset
A function that creates an ERA5Monthly
or ERA5MonthlyHour
module depending on the input arguments of hours
. Data is saved year-by-year.
Keyword Arguments
path
: The specified directory in which to save the datastart
: The date for which downloads/analysis begins, automatically rounded to the nearest yearstop
: The date for which downloads/analysis finishes, automatically rounded to the nearest yearhours
: If false, download monthly-averaged data. If true, download monthly-averaged data for each hour