Creation year

2014

823 record(s)

 

Type of resources

Essential Climate Variables

Geophysical Quantities

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Sensors

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From 1 - 10 / 823
  • This dataset contains climatological monthly mean files of air-sea fluxes on a global grid in netCDF format produced at the National Oceanography Centre (NOC). It includes freshwater flux, heat flux and windstress and selected meteorological variables. Each data file contains 12 climatological monthly means on a global 1 x 1 grid for a particular flux field: Heat flux and windstress: latent heat flux (hfls), net heat flux (hfns), sensible heat flux (hfss), precipitation (pr), net longwave flux (rls), net shortwave flux (rss), wind stress (eastward) (tauu), wind stress (northward) (tauv). Units are W/m2 for the heat flux and N/m2 for the stress. Also available are freshwater fields: evaporation (emy), precipitation (pmy), net evaporation (epmy) Units are m/yr in each case (divide by 12 to get m/month). Meteorology fields are: u10 - 10m wind speed, units m/s t10 - 10m air temperature, units deg C q10 - 10m specific humidity, units g/kg sst - sea surface temperature, units deg C ana - total cloud amount, units octas slp - sea level pressure, units mb The flux fields have been derived from the COADS1a (1980-93) dataset enhanced with additional metadata from the WMO47 list of ships. A full description of the fields is given in The Southampton Oceanography Centre (SOC) Ocean - Atmosphere, Heat, Momentum and Freshwater Flux Atlas (see link under Docs) and a parallel journal paper (Josey et al, 1999) describes the results of various evaluation studies (see links under Docs). It is important to note that the quality of the fields has a strong spatial dependence which reflects the global distribution of ship observations. Quality is likely to be high in the well sampled North Atlantic & North Pacific but to decrease in the Southern Hemisphere. In particular, south of 40 S the errors in the fields are likely to be large and we recognise the existence of spurious features which have been generated during the objective analysis of the original raw fields. NOC stress that caution must be taken when interpreting the fields in this region. In addition, note that the current version of the fields does not give closure of the global heat budget, the imbalance being a global mean net heat gain by the ocean of 29 W/m2. Work was carried out to identify regions in which NOC scientists believe the net heat gain has been overestimated. Results from several regional comparisons against high quality meteorological buoy data indicate that in those regions for which comparisons have been possible the NOC net heat flux estimates agree well with independent buoy measurements. Hence, NOC have not applied global adjustments to the heat flux components in order to balance the heat budget at this stage of their analysis. See NOC1.1a for adjusted heat fluxes. Funding has been received from the Hadley Centre, UK Meteorological Office for the production and analysis of this dataset. Please note that NOC1.1 - Previously the 'Original' SOC climatology (climatological and individual monthly fields)

  • CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport. This dataset contains WACCM model output from the DYNAMICS Ref1 experiment run by the National Center for Atmospheric Research (NCAR).

  • Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). This dataset contains the Advanced Along-Track Scanning Radiometer on ESA ENVISAT satellite (AATSR) Spatially Averaged Sea Surface Temperature Product for Meteo Users. These data are the Level 2 product designed for the use by meteorological offices derived from Level 2 AST product. The product contains only the sea surface temperature with spatial resolution of 10 arc minutes. It also contains Average Brightness Temperature (ABT) fields, which includes brightness temperature and TOA sea record on the same spatial resolution. Like the AST product this product is derived from, all areas contains data, where the land pixels have empty data, and the coasts containing averages derived only from the sea pixels in the cell. The third reprocessing was done to implement the updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files.

  • CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport. This dataset contains UMSLIMCAT model output from the WMO 2006 REF2 experiment run by the University of Leeds.

  • Land Surface Temperature (LST) Level 2 data products (UOL_LST_2P) from the Advanced Along Track Scanning Radiometer (AATSR) produced by the University of Leicester. The data consists of a Level 2 1km resolution AATSR-orbit based product at a pre-defined set of spatial and temporal resolutions. The product provide AATSR-derived land surface temperature data and its associated uncertainty, as wall as additional auxiliary information. Level 2 products were produced under contract to the European Space Agency and constitute part of the official (A)ATSR multimission product from version 3 of that dataset. Funding from NERC and the National Centre for Earth Observation (NCEO) also helped in the development of this product and enabled the production of the derived Level 3 products. Both products are NetCDF formatted. For further information on the formats of each of the products please see their product user guides.

  • CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport. This dataset contains CMAM model output from the WMO 2006 REF2 experiment run by the Canadian Ensemble Forecasts (MSC), University of Toronto and York University, Canada.

  • CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport. This dataset contains SOCOL model output from the WMO 2006 REF2 experiment run by the Physikalisch-Meteorologisches Observatorium Davos (PMOD/WRC) and Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland.

  • CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport. This dataset contains MAECHAM4CHEM model output from the WMO 2006 REF2 experiment run by the Max Planck Institutes (MPI), Germany.

  • Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). The Along-Track Scanning Radiometer on ESA ERS-2 satellite (ATSR-2) Browse Product. These data are 3 band colour composite, quick-look images at coarse resolution. The browse product for the ATSR-1 and the ATSR-2 missions were introduced during the third reprocessing of data products. This product was derived from the Level 1B product and auxiliary data.

  • The Advanced Visible and Near InfraRed 4-band Radiometer type-2 (AVNIR-2) is a visible and near infrared 4-band radiometer offering 10m spatial resolution optical imagery that is often used for land and coastal earth observation applications. AVNIR-2 is on board the Japanese earth observation Advanced Land Observing Satellite (ALOS) and was developed by the Japanese Aerospace Exploration Agency (JAXA). The data were acquired by the Landmap project from ESA, and are available for large areas of the Republic of Ireland and small areas of Scotland and England, for 2007 to 2008. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC. When using these data please also add the following copyright statement: ESA 2004/2005/2006/2007/2008…. Received and Distributed by University of Manchester under licence from the European Space Agency.