Displaying 1 - 25 of 103

Accumulated Cyclone Energy (Verification) - Seasonal Forecast - SEAS5

This chart provides information on the verification of forecasts of Accumulated Cyclone Energy ...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Accumulated Cyclone Energy - Seasonal Forecast - SEAS5

The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

In situ total column ozone and ozone soundings from 1924 to present from the World Ozone and Ultraviolet Radiation Data Centre

This dataset provides access to two types of ozone observations: total column ozone estimates and vertical profiles of ozone concentration.
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.

calendar_today Interval/period: Tue, 01/01/1924 - Sun, 05/10/2026

open_in_newview in Climate Data Store

In situ observations of meteorological and soil variables from the US Climate Reference Network near the surface from 2006 to present

This catalogue entry provides access to a continuous series of near-surface climate observations collected in-situ at
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,

calendar_today Interval/period: Sun, 01/01/2006 - Sun, 05/10/2026

open_in_newview in Climate Data Store

Mean wave period and mean wave direction

Mean wave period is the spectrally averaged period of the waves. Wave periods are shown in seconds using colour shading – click on the middle icon to the bottom right for the scale...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Sea ice concentration from 1978 to present derived from satellite observations

This dataset provides daily gridded data of sea ice concentration for both hemispheres derived from satellite passive microwave brightness temperatures. Sea ice is an important component of our climate system and a sensitive indicator of climate change. Its presence or its retreat has a strong impact on air-sea interactions, the Earth’s energy budget as well as marine ecosystems. It is recognised by the Global Climate Observing System as an Essential Climate Variable.

calendar_today Interval/period: Sun, 10/01/1978 - Mon, 09/29/2025

open_in_newview in Climate Data Store

Sea ice drift daily gridded data derived from satellite observations

This dataset provides daily gridded fields of sea ice drift vectors for both hemispheres derived from satellite passive microwave brightness temperatures and atmospheric reanalysis data. Sea ice is an important component of our climate system and a sensitive indicator of climate change. Its presence or retreat significantly affects ocean-atmosphere interactions, the Earth’s energy budget as well as marine ecosystems. It is classified as an Essential Climate Variable by the Global Climate Observing System.

calendar_today Interval/period: Tue, 01/01/1991 - Thu, 12/31/2020

open_in_newview in Climate Data Store

Sea ice edge and type daily gridded data from 1978 to present derived from satellite observations

This dataset provides daily gridded data of sea ice edge and sea ice type derived from brightness temperatures measured by satellite passive microwave radiometers. Sea ice is an important component of our climate system and a sensitive indicator of climate change. Its presence or its retreat has a strong impact on air-sea interactions, the Earth’s energy budget as well as marine ecosystems. It is recognized by the Global Climate Observing System as an Essential Climate Variable. Sea ice edge and type are some of the parameters used to characterise sea ice.

calendar_today Interval/period: Wed, 10/25/1978 - Wed, 09/24/2025

open_in_newview in Climate Data Store

Sea ice surface temperature derived from satellite observations

This dataset provides daily and monthly sea ice surface temperature (IST) fields over the polar oceans from 1982 to the present. The data are derived from thermal infrared measurements from a single satellite sensor type: the Advanced Very High Resolution Radiometer (AVHRR) onboard National Oceanic and Atmospheric Administration (NOAA) and Meteorological Operational (MetOp) satellites.

calendar_today Interval/period: Mon, 01/01/1979 - Tue, 09/30/2025

open_in_newview in Climate Data Store

Sea ice thickness gridded data for the Arctic derived from satellite observations

This dataset provides gridded sea ice thickness data for the Arctic, derived from satellite observations. Sea ice plays a vital role in the climate system, influencing air-sea interactions, the Earth’s energy balance, and marine ecosystems. It is recognised by the Global Climate Observing System (GCOS) as an Essential Climate Variable (ECV). Sea ice thickness is a key characteristic used alongside other parameters such as concentration, edge, and type, all available in the Climate Data Store (CDS).

calendar_today Interval/period: Tue, 10/01/2002 - Sat, 04/12/2025

open_in_newview in Climate Data Store

Sea level gridded data from satellite observations for the global ocean from 1993 to present

This dataset provides gridded daily and monthly mean global estimates of sea level anomaly based on satellite altimetry measurements. The rise in global mean sea level in recent decades has been one of the most important and well-known consequences of climate warming, putting a large fraction of the world population and economic infrastructure at greater risk of flooding. However, changes in the global average sea level mask regional variations that can be one order of magnitude larger.

calendar_today Interval/period: Fri, 01/01/1993 - Sun, 12/31/2023

open_in_newview in Climate Data Store|open_in_newview in Destination Earth Data

Sea surface temperature daily gridded data from 1981 to 2016 derived from a multi-product satellite-based ensemble

This dataset provides global daily sea surface temperature (SST) data from the Group for High Resolution Sea Surface Temperature (GHRSST) multi-product ensemble (GMPE) produced by the European Space Agency SST Climate Change Initiative (ESA SST CCI). The GMPE system was designed to allow users to compare the outputs from different SST analysis systems and understand their similarities and differences. Although originally intended for comparison of near real time data, it has also been used to compare long historical datasets.

calendar_today Interval/period: Tue, 09/01/1981 - Sat, 12/31/2016

open_in_newview in Climate Data Store

Essential climate variables for assessment of climate variability from 1979 to present

The Essential Climate Variables for assessment of climate variability from 1979 to present dataset contains a selection of climatologies, monthly anomalies and monthly mean fields of Essential Climate Variables (ECVs) suitable for monitoring and assessment of climate variability and change. Selection criteria are based on accuracy and temporal consistency on monthly to decadal time scales.

calendar_today Interval/period: Mon, 01/01/1979 - Wed, 04/01/2026

open_in_newview in Climate Data Store

Essential climate variables for water sector applications derived from climate projections

This dataset contains 4 Essential Climate Variables (ECV) for the 18 bias adjusted Global Climate Models (GCM) from CMIP5: daily precipitation rate, and daily mean, maximum and minimum temperatures.
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.

calendar_today Interval/period: Thu, 10/12/2000 - Thu, 10/18/2018

open_in_newview in Climate Data Store

pan-Arctic regional reanalysis daily and monthly data from 1986 to present

The C3S Arctic Regional Reanalysis second generation (CARRA2) dataset contains daily and monthly meteorological variables at 2.5 km resolution. These variables are specified at single levels (including surface) and also at soil, height, pressure and model levels. These daily and monthly data are pre-calculated and have the following types depending on the variables: daily and monthly averages, extremes and totals.

calendar_today Interval/period: Wed, 01/01/1986 - Sun, 12/31/2023

open_in_newview in Climate Data Store

pan-Arctic regional reanalysis sub-daily data from 1986 to present

The C3S Arctic Regional Reanalysis second generation (CARRA2) dataset contains 3-hourly analyses at 2.5 km resolution. These variables are specified at single levels (including surface) and also at soil, height, pressure and model levels. Additionally, hourly forecasts are available between the analysis times and particularly forecasts up to 18 hours initialised from the analyses at 00 and 12 UTC.

calendar_today Interval/period: Wed, 01/01/1986 - Sun, 12/31/2023

open_in_newview in Climate Data Store

Precipitation monthly and daily gridded data from 1979 to present derived from satellite measurements

Within the hydrological cycle, precipitation is the main component of water transport from the atmosphere to the Earth’s surface. Precipitation varies strongly, depending on geographical location, season, synopsis, and other meteorological factors. The supply of freshwater through precipitation is vital for many subsystems of the climate and the environment, but there are also hazards related to extensive precipitation or the lack of precipitation.

calendar_today Interval/period: Mon, 01/01/1979 - Mon, 09/30/2024

open_in_newview in Climate Data Store

Precipitation monthly and daily gridded data from 2000 to 2017 derived from satellite microwave observations

This dataset provides global estimates of daily accumulated and monthly means of precipitation. The precipitation estimates are based on a merge of passive microwave observations from two different radiometer classes operating on multiple Low Earth Orbit (LEO) satellites.

calendar_today Interval/period: Sat, 01/01/2000 - Sun, 12/31/2017

open_in_newview in Climate Data Store

Probabilities: mean wave period

This chart shows probability information regarding mean wave period derived from the ECMWF ...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Probabilities: significant wave height

This chart shows probability information regarding significant wave height derived from the ...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Probabilities:  mean wave period (day 10-15)

These charts show the probability of various mean periods of ocean waves 10-15 days ahead. The ...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Tropical Storm Standardised Density - Seasonal Forecast - SEAS5

The ECMWF seasonal forecasts (SEAS5) are produced every month with a 51-member ensemble at a ...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Windsea: mean period of waves and direction

Mean windsea wave direction is the spectrally averaged direction of propagation of the windsea waves (weighted by wave height). Arrow length is proportional to the speed of wave propagation...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Windsea: significant wave height and mean direction

Significant windsea wave height can be shown to correspond to the average wave height of the top one-third highest windsea waves. Wave heights are shown in metres using colour shading...

calendar_today Interval/period: N/A

open_in_newview in Open Charts

Windstorm tracks and footprints derived from reanalysis over Europe between 1940 to present

This dataset provides climate indicators of windstorms associated with extratropical cyclones, derived from the fifth generation of the European Centre for Medium-Range Weather Forecasts (ECMWF) atmospheric reanalyses (ERA5) over a pan-European domain. Developed as part of Copernicus Climate Change Service's (C3S) Enhanced Windstorm Service (EWS), and responding to requirements from users in the insurance sector, this dataset extends the previous C3S Windstorm Service (winter months only) to include the entire year.

calendar_today Interval/period: Thu, 02/01/1940 - Fri, 01/23/2026

open_in_newview in Climate Data Store