Creation year

2015

498 record(s)

 

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Essential Climate Variables

Geophysical Quantities

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From 1 - 10 / 498
  • This dataset contains Interferometric Wide swath (IW) Single Look Complex (SLC) C-band Synthetic Aperture Radar (SAR) data from the European Space Agency (ESA) Sentinel 1A satellite. Sentinel 1A was launched on 3rd April 2014 and provides continuous all-weather, day and night imaging radar data. The IW mode is the main operational mode. The IW mode supports single (HH or VV) and dual (HH+HV or VV+VH) polarisation. These data are available via CEDA to any registered CEDA user.

  • The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies. This dataset contains all their Version 1.0 generated ocean colour products on a sinusoidal projection at 4 km spatial resolution and at a monthly time resolution. Data products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490nm. Information on uncertainties is also provided. This data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.)

  • The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises the Level 3 aerosol monthly products from ATSR-2, using the Swansea University (SU) algorithm, version 4.2. For further details about these data products please see the documentation.

  • The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises monthly images of Absorbing Aerosol Index (AAI), using the Multi-Sensor UVAI algorithm, Version 1.4.7. For further details about these data products please see the linked documentation.

  • Data from the operational NWP (Numerical Weather Prediction) output from the Variable resolution UK (UKV) part of the Met Office Unified Model. This latest configuration of the UM model has a high resolution inner domain (1.5 km grid boxes) over the area of forecast interest, separated from a coarser grid (4 km) near the boundaries by a variable resolution transition zone. This variable resolution approach allows the boundaries to be moved further away from the region of interest, reducing unwanted boundary effects on the forecasts. The UKV model is kept close to observations using 3D-Var data assimilation every 3 hours. This archive is currently being populated at the BADC.

  • The HADRT2.2 data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 10 degree latitude by 20 degree longitude grid from 1958 to 2000. Anomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages. The data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. HADRT2.2 is an eigenvector reconstructed grid data set from 1958 - 2000, on a 10 degree latitude by 20 degree longitude grid, created from HadRT2.1. The eigenvector reconstruction was used to infill missing seasons or years in boxes with 70% of seasonal or annual data available. This dataset has been superseded by the HadAT dataset also available from CEDA.

  • The HADRT2.3s data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 5 degree latitude by 10 degree longitude grid from 1958 to 2000. Anomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages. The data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. HADRT2.3s is as HadRT2.3 but using HadRT2.1s. This dataset has been superseded by the HadAT dataset also available from CEDA.

  • The HADRT2.2u data are global monthly fields of radiosonde temperature anomalies at standard pressure levels on a 10 degree latitude by 20 degree longitude grid from 1958 to 2000. Anomalies are calculated with respect to 1971-1990 climatology. Anomalies are available for 9 standard levels (850, 700, 500, 300, 200, 150, 100, 50, 30hPa) as well as tropospheric (850 - 300hPa) and stratospheric (150 - 30hPa) averages. The data are degree Celsius anomalies from 1970-1990 means. Anomalies are calculated for each of about 200 sonde stations worldwide and grid values derived from these. HADRT2.2u are as HADRT2.2 but created from HADRT2.0. This dataset has been superseded by the HadAT dataset also available from CEDA.

  • In the interests of having MSU-equivalent HadAT timeseries available for immediate comparisons with these satellite-derived data, the Hadley Centre have created a set of MSU equivalent measures under very specific criteria. Although justifiable, many of the decisions they have made are subjective and alternative choices could be made that would appear, at least initially, to be equally plausible. Final MSU equivalent measures for the monthly HadAT2 timeseries are available as well as a number of intermediate products required to produce these from the Temperature on Pressure Levels data. For more information on the real MSU instruments, their measurements and their climate timeseries are available from the University of Alabama in Huntsville and Remote Sensing Systems (external links).

  • Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flight 5 for CONSTRAIN - Cold Cloud Microphysical Parameterisation Studies project.