Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

04. Global Climate Model

Select the parameterGlobal Climate Model (s) you are interested inGCM) used as lateral boundary conditions.

05. Regional Climate Model

Select the parameterRegional Climate Model (sRCM) you are interested in.

06. Simulation version

Select the parameter(s) you are interested in.simulation version, if you have a choice for the already selected combinations. 

07.

...

Ensemble member

Select the parameter(s) you are interested inthe ensemble members of the experiment.

08. Start year

Select the parameter(s) the start year of the experiment you are interested in.

09. End year

Select the parameter(s) the end year of the experiment you are interested in.

10. Format

Select the parameter(s) you are interested in.

Image Removed

...

titleSeasonal forecast daily data on single levels from 2017 to present

...

Select

...

02. Temporal resolution

Select the temporal resolution of your choice.

03. Variable

Select the parameter(s) you are interested in.

04. Year

Select the year of the initialization date of the model run(s) you are interested in.
Note that there could be differences in the options available depending on your selection of forecast or hindcast years.

Please note that you must use the hindcast data in order to make a meaningful use of the forecast data. And remember you must pair forecasts and hindcasts up by using the same "system" for both of them.

05. Month

Select the month of the initialization date of the model run(s) you are interested in.

06. Day

Select the day of the initialization date of the model run(s) you are interested in.
Note that due to different production schedules, the available dates may differ between hindcasts and forecasts and between "originating centres".
You can find more details about the production schedules in the "Documentation" tab.

07. Leadtime Hour

Select the lead time(s) you are interested in. This is the time, in hours, from the initialization date.
Bear in mind that some variables are available every 6 hours, and some every 24 hours. You will find that information in the full list of available parameters from the "Documentation" tab and also in the summary table shown in the "Overview" tab of this CDS dataset.
Note that the length of the outputs is at least 6 calendar months, but it may not be the same for all "originating centres".

...

08. Geographical area

You can select a global field ("whole available area") or a regional subselection by providing the latitude and longitude of its corners

09. Format

You can select the data format for your data retrieval.
Currently, just GRIB format is available for C3S seasonal forecast datasets.
An experimental netCDF conversion can be accessed by using the CDS API. You can find some related information in the "Documentation" tab.

10. Terms of Use

You must accept the terms and conditions of the Copernicus User Licence in order to access the C3S seasonal forecast data.

your preferred format.

Image Added

Monthly data

You will find two CDS catalogue entries for monthly statistics: monthly average, minimum, maximum and standard deviation are available for all initialization dates. Additionally, for real-time forecast initialization dates you will find the ingredients to calculate the forecast monthly anomalies: the forecast ensemble mean and the hindcast climate mean. The output of the different forecasting systems is available both for real-time forecasts (from 2017 onwards) and retrospective forecasts (referred to as hindcasts) for the period 1993-2016.

One dataset contains surface (or single level) parameters, the other contains variables on 11 pressure levels spanning 925 hPa to 10 hPa.

Post-processed data

You will find two CDS catalogue entries for real-time forecast monthly anomalies; each contains the anomalies for the ensemble mean for each system and the individual ensemble members.
Anomalies are just available for real-time forecasts start dates (from 2017 onwards).

One dataset contains surface (or single level) parameters, the other contains variables on 11 pressure levels spanning 925 hPa to 10 hPa.