Datasets
The Copernicus Climate Change Service (C3S) seasonal forecast service is based on data from several state-of-the-art seasonal prediction systems.
Interval/period: N/A
Interval/period: Sun, 01/01/1978 - Wed, 10/17/2018
The total ozone estimates are based on solar UV radiation measurements made by ground-based spectrophotometers (Dobson or Brewer type spectrophotometers).
The vertical profiles of ozone concentration are estimated primarily using ozonesonde observations.
Data are available for 159 Dobson stations, 109 Brewer stations and 135 ozonesondes stations.
Interval/period: Tue, 01/01/1924 - Fri, 05/08/2026
(GNSS) radio signals.
The initial data is collected from two in situ ground-based network of GNSS receivers – the International GNSS Service
(IGS) and EUREF Permanent Network (EPN). The IGS collects, archives, and freely distributes GNSS data from a
cooperatively operated global network of more than 500 ground-based GNSS stations since 1994. The EPN is a European
Interval/period: Mon, 01/01/1996 - Fri, 05/08/2026
Interval/period: Thu, 06/01/1995 - Fri, 05/08/2026
Interval/period: Wed, 01/01/1992 - Fri, 05/08/2026
Interval/period: Wed, 01/01/1992 - Sat, 01/01/2022
Interval/period: Thu, 06/01/1995 - Tue, 12/31/2024
United States Climate Reference Network (USCRN) stations.
There are over 130 USCRN stations over the conterminous United States (U.S.), Alaska, and Hawaii.
The USCRN stations are managed and maintained by the U.S. National Oceanic and Atmospheric Administration (NOAA).
The USCRN observations include air temperature, humidity, wind speed, precipitation, solar radiation,
Interval/period: Sun, 01/01/2006 - Fri, 05/08/2026
The first is version 2 of the Integrated Global Radiosounding Archive (IGRA) from 1978 which incorporates global
radiosounding profiles of temperature, humidity and wind from a large number of data sources,
which is 30% larger than the previous version 1. IGRA v2 is the result of quality assurance procedures applied to the
Interval/period: Sun, 01/01/1978 - Fri, 05/08/2026
Single prediction that uses
observations prior information about the Earth-system ECMWF's highest-resolution modelHRES Direct model output Products offers "High Frequency products"
4 forecast runs per day (00/06/12/18) (see dissemination schedule for details) Hourly steps to step 90 for all four runs.Not all post-processed Products are available at 06/18 runs or in hourly steps.
Interval/period: N/A
The sub-seasonal products comprise ensembles of individual forecasts up to 46 days and post-processed products of average conditions (e.g. weekly averages) and the associated uncertainty.
The purchase of the "Basic Set" +72, +96, +120, +144, +168 hrs is a mandatory prerequisite for the purchase of time steps in the range 12 to 66 hours.
The following sub-sets are available from the sub-seasonal forecast (46 days):
Interval/period: N/A
Interval/period: Tue, 09/01/1981 - Sun, 12/01/2024
Interval/period: Mon, 01/01/1979 - Mon, 12/31/2018
The vertically integrated budget diagnostics include the tendencies and lateral fluxes of total energy, water vapour, and latent heat (with the latent heat of vaporization varying with temperature). In addition, the divergences of the lateral fluxes are provided.
Interval/period: Mon, 01/01/1979 - Fri, 05/08/2026
Interval/period: Sun, 10/01/1978 - Mon, 09/29/2025
Interval/period: Tue, 01/01/1991 - Thu, 12/31/2020
Interval/period: Wed, 10/25/1978 - Wed, 09/24/2025
Interval/period: Mon, 01/01/1979 - Tue, 09/30/2025
Interval/period: Tue, 10/01/2002 - Sat, 04/12/2025
Interval/period: Fri, 01/01/1993 - Sun, 12/31/2023
Interval/period: Tue, 09/01/1981 - Sat, 12/31/2016
These seasonal data comprises ensembles of individual forecasts coupled to an ocean model and post-processed products of average conditions (e.g. monthly averages) with the associated uncertainty. Products are available for forecast month 8-13, each quarter (February, May, August, November).
The following sub-sets are available:
Interval/period: N/A
Interval/period: Mon, 01/01/1979 - Wed, 04/01/2026
The data are bias adjusted using the Distribution Based Scaling (DBS) method versus the global reference dataset HydroGFD2.0, both bias adjustment method and global reference dataset developed by the Swedish Meteorological and Hydrological Institute (SMHI).
The DBS method is a parametric quantile-mapping variant.
Interval/period: Thu, 10/12/2000 - Thu, 10/18/2018