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ECMWF SEAS5 seasonal forecast output - case study of summer 2022

This dataset contains the output of three fully coupled seasonal forecast experiments performed as a case study of summer 2022, using the same model setup as ECWMF seasonal forecast system 5 (SEAS5), as presented in the paper Patterson, M., Befort, D., O'Reilly, C., Weisheimer, A. "The ECMWF SEAS5 seasonal forecast of the hot and dry European summer of 2022" Quarterly Journal of the Royal Meteorological Society, https://doi.org/10.1002/qj.4851

​

​The three experiments are:

1) CONTROL

A coupled hindcast ensemble with perturbed initial conditions for the 2022 summer, identical to the operational hindcast with the start date 1st May, but for 200 members rather than 51.

2) ATMOS-IC-2022

Similar to the CONTROL with 2022 initial conditions for the atmosphere and land surface and 2022 concentrations of carbon dioxide, but with ocean initial conditions taken from a year in 1981-2021. Five perturbed initial condition states taken for each year hence, 41 x 5 = 205 members.

3) OCEAN-IC-2022

Similar to CONTROL with 2022 initial conditions for the ocean, but with initial atmosphere, land surface and carbon dioxide conditions taken from a year in 1981-2021. Like ATMOS-IC-2022, 41 x 5 = 205 members.

​

The OCEAN-IC-2022 experiments were performed by taking the setup for hindcasts 1981-2021 and swapping the ocean initial conditions for 2022. The time dimension therefore corresponds to the time of the base hindcast taken from 1981-2021. Conversely, the ATMOS-IC-2022 were performed by running the 2022 hindcast and swapping the ocean initial conditions for other years. The time dimension for ATMOS-IC-2022 therefore is identical for all members. Hindcasts are all started on 1st May and run for four months.



The data stored is monthly-mean output from the experiments with the following directory structure

for variables on pressure levels:

[experiment_name]/pl/[experiment_name]_[ensemble_member_number]_pl_[level]hPa.nc



and for those on a single level or at the surface:

[experiment_name]/sfc/[experiment_name]_[ensemble_member_number]_sfc.nc



The files each contain multiple variables. Variables on pressure levels are stored at 700hPa,500hPa and 250hPa levels.



Pressure level variables stored are:

u (zonal wind), v (meridional wind), t (air temperature), z (geopotential), q (specific humidity)



Surface variables stored are:

sst (sea surface temperature), swvl1 (Volumetric soil water layer 1), swvl2 (Volumetric soil water layer 2), swvl3 (Volumetric soil water layer 3), swvl4 (Volumetric soil water layer 4), msl (air pressure at mean sea level), t2m (2m temperature), tprate (mean total precipitation rate).

Simple

Date (Publication)
2024-06-05T09:56:16
Date (Creation)
2024-06-05T09:56:16
Citation identifier
https://catalogue.ceda.ac.uk/uuid/235e3307338c4168816871a314eada4f
Citation identifier
NERC EDS Centre for Environmental Data Analysis / 235e3307338c4168816871a314eada4f
Point of contact
Organisation name Individual name Electronic mail address Role

Unavailable

Patterson, Matthew

Unavailable

Author

Unavailable

Befort, Daniel

Unavailable

Author

Unavailable

O'Reilly, Chris

Unavailable

Author

Unavailable

Weisheimer, Antje

Unavailable

Author

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Custodian

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Distributor

Unavailable

Patterson, Matthew

Unavailable

Principal investigator

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

pointofContact

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Publisher
Maintenance and update frequency
Not planned
Update scope
Dataset
Keywords
  • Seasonal forecasts

  • Climate prediction

  • Climate modelling

  • Europe

GEMET - INSPIRE themes, version 1.0

  • atmospheric conditions

Access constraints
Other restrictions
Other constraints
Public data: access to these data is available to both registered and non-registered users.
Use constraints
Other restrictions
Other constraints
Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Spatial representation type
Grid
Language
English
Topic category
  • Climatology, meteorology, atmosphere
N
S
E
W
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Begin date
2022-05-01T00:00:00
End date
2022-08-31T00:00:00
Unique resource identifier
WGS 84
Distribution format
Name Version

Contact support@ceda.ac.uk for file format information.

Distributor contact
Organisation name Individual name Electronic mail address Role

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Distributor
OnLine resource
Protocol Linkage Name
https://catalogue.ceda.ac.uk/uuid/235e3307338c4168816871a314eada4f

CEDA Data Catalogue Page

OnLine resource
Protocol Linkage Name
http://data.ceda.ac.uk/badc/deposited2024/Seasonal_forecasts_of_JJA_2022/

DOWNLOAD

OnLine resource
Protocol Linkage Name
https://doi.org/10.1002/qj.4851

Related Paper: Drivers of the ECMWF SEAS5 seasonal forecast for the hot and dry European summer of 2022. Matthew Patterson, Daniel J. Befort, Christopher H. O'Reilly, Antje Weisheimer

Hierarchy level
Dataset

Conformance result

Title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

Date (Publication)
2010-12-08
Statement

The data were produced using the same model setup as ECWMF seasonal forecast system 5 (SEAS5) on the ECMWF ATOS system. Data were produced by the project team before archival at CEDA.

Metadata

File identifier
235e3307338c4168816871a314eada4f XML
Metadata language
English
Character set
UTF8
Hierarchy level
Dataset
Date stamp
2026-03-11T03:28:14
Metadata standard name
UK GEMINI
Metadata standard version

2.3

Metadata author
Organisation name Individual name Electronic mail address Role

NERC EDS Centre for Environmental Data Analysis

support@ceda.ac.uk

Point of contact
 
 

Overviews

Spatial extent

thumbnail

Keywords

GEMET - INSPIRE themes, version 1.0

atmospheric conditions


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