235e3307338c4168816871a314eada4f English 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646 dataset NERC EDS Centre for Environmental Data Analysis 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointOfContact 2026-05-06T02:28:23 UK GEMINI 2.3 WGS 84 ECMWF SEAS5 seasonal forecast output - case study of summer 2022 2024-06-05T09:56:16 publication 2024-06-05T09:56:16 creation https://catalogue.ceda.ac.uk/uuid/235e3307338c4168816871a314eada4f 235e3307338c4168816871a314eada4f NERC EDS Centre for Environmental Data Analysis 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). Patterson, Matthew Unavailable author Unavailable author Befort, Daniel Unavailable author Unavailable author O'Reilly, Chris Unavailable author Unavailable author Weisheimer, Antje Unavailable author Unavailable author NERC EDS Centre for Environmental Data Analysis custodian 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk custodian NERC EDS Centre for Environmental Data Analysis distributor 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor Patterson, Matthew Unavailable principal_investigator Unavailable principalInvestigator NERC EDS Centre for Environmental Data Analysis point_of_contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk pointofContact NERC EDS Centre for Environmental Data Analysis publisher 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk publisher notPlanned dataset Seasonal forecasts Climate prediction Climate modelling Europe atmospheric conditions theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication otherRestrictions Public data: access to these data is available to both registered and non-registered users. otherRestrictions 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. grid English climatologyMeteorologyAtmosphere -180.0 180.0 -90.0 90.0 2022-05-01T00:00:00 2022-08-31T00:00:00 Contact support@ceda.ac.uk for file format information. NERC EDS Centre for Environmental Data Analysis Data Center Contact 01235446432 RAL Space STFC Rutherford Appleton Laboratory, Harwell Campus Didcot OX11 0QX United Kingdom support@ceda.ac.uk distributor https://catalogue.ceda.ac.uk/uuid/235e3307338c4168816871a314eada4f CEDA Data Catalogue Page Detail and access information for the resource information http://data.ceda.ac.uk/badc/deposited2024/Seasonal_forecasts_of_JJA_2022/ DOWNLOAD Download Data download 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 No further details. information dataset 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 2010-12-08 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.