Chemistry of the Antarctic Boundary Layer and the Interface with Snow (CHABLIS) is a Natural Environment Research Council (NERC) and Antarctic Funding Initiative (AFI) funded project, aimed at studying the chemistry of the Antarctic Boundary Layer in greater detail, and for a longer duration, than has previously been attempted. Field measurements were carried out at the British Antarctic Survey station, Halley, at the Clean Air Sector Laboratory (CASLab). Year-round measurements began in February 2004, and a summer campaign focussing on oxidants ran during January/February 2005, after which CHABLIS fieldwork ended. The dataset contains NOx Chemiluminescence data. Access to this dataset is now public.

The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) dataset was detected with the Advanced Very High Resolution Radiometer (AVHRR) on-board the MetOp satellites. Derived biophysical parameter fields were generated to provide a 17-year satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. This dataset was produced and provided by Dr. Sietse Los from the Department of Geography, University of Wales at Swansea.

Chemistry of the Antarctic Boundary Layer and the Interface with Snow (CHABLIS) is a Natural Environment Research Council (NERC) and Antarctic Funding Initiative (AFI) funded project, aimed at studying the chemistry of the Antarctic Boundary Layer in greater detail, and for a longer duration, than has previously been attempted. Field measurements were carried out at the British Antarctic Survey station, Halley, at the Clean Air Sector Laboratory (CASLab). Year-round measurements began in February 2004, and a summer campaign focussing on oxidants ran during January/February 2005, after which CHABLIS fieldwork ended. The dataset meteorological measurements (relative humidity, visibility, temperature, wind speed, and wind direction) from a 4m mast situated near CASLab. Access to this dataset is now public.

The Fourier-Adjusted, Sensor and Solar zenith angle corrected, Interpolated, Reconstructed (FASIR) adjusted Normalized Difference Vegetation Index (NDVI) dataset was detected with the Advanced Very High Resolution Radiometer (AVHRR) on-board the MetOp satellites. Derived biophysical parameter fields were generated to provide a 17-year satellite record of monthly changes in the photosynthetic activity of terrestrial vegetation. This dataset was produced and provided by Dr. Sietse Los from the Department of Geography, University of Wales at Swansea.

Chemistry of the Antarctic Boundary Layer and the Interface with Snow (CHABLIS) is a Natural Environment Research Council (NERC) and Antarctic Funding Initiative (AFI) funded project, aimed at studying the chemistry of the Antarctic Boundary Layer in greater detail, and for a longer duration, than has previously been attempted. Field measurements were carried out at the British Antarctic Survey station, Halley, at the Clean Air Sector Laboratory (CASLab). Year-round measurements began in February 2004, and a summer campaign focussing on oxidants ran during January/February 2005, after which CHABLIS fieldwork ended. The dataset includes 2B-Technologies (Model 202) Surface ozone measurements at Halley CASLab. Access to this dataset is now public.

The aim of HITRAN (high-resolution transmission molecular absorption database) was to characterise the amount and wavelength-dependence of absorption by water vapour and other atmospheric species. It was part of the Natural Environment Research Council (NERC) funded Clouds, Water Vapour and Climate (CWVC) program. The dataset contains spectral line parameters derived from laboratory measurements on pure water vapour, and mixtures of water vapour and air. The measurements were made at STFC Rutherford Appleton Laboratory Molecular Spectroscopy Facility, and the line fitting was carried out by the Department of Meteorology at the University of Reading. The spectral line parameters are displayed in HITRAN format. Water vapour lines were fitted to the laboratory data in the spectral range 5037 to 5585 cm-1. These data are public.

The gridded CRU TS (time-series) 3.22 data are month-by-month variations in climate over the period 1901-2013, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. CRU TS 3.22 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and wet day frequency for the period Jan. 1901 - Dec. 2013. CRU TS 3.22 data were produced using the same methodology as for the 3.21 datasets. In addition to updating the dataset with 2013 data, the v3.22 release corrects an error in the v3.21 dataset. This is summarised in the document, CRU_Advisory_v3.2x_NE_Africa.txt, and affects PRE and WET variables only. There are several known issues with the current dataset which cannot be resolved in the timeframe of this release; they will be addressed in the future. This directory also contains an advisory note regarding an issue with 35 Mozambique stations that were new. After an investigation by the CRU, the comparison plots show that the only countries affected in a possibly significant way are Egypt and Eritrea. The details of these can be found in this directory. The CRU TS 3.22 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters. All CRU TS output files are actual values - NOT anomalies. CRU TS data are available for download to all CEDA users. The CEDA Web Processing Service (WPS) may be used to extract a subset of the data (please see link to WPS below).

Level 1b consolidated, near-real time and reprocessed data from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument on the ENVISAT satellite operated by ESA. These data are Instrument Processor Facility (IPF) version 7.1 data. Improvements with respect to the previous version 5.06 data include a new offset validation algorithm, addition of alignment matrix correction and scan mirror non-linearity correction in geolocation pointing, a new spike detection and correction algorithm, enabling of generation of Optimised Resolution (OR) products from Full Resolution (FR) products for the FR acquisition period, and an update of the format function for the number of sweeps per scan. Data are from 1st July 2002 to 8th April 2012.

The gridded CRU TS (time-series) 3.20 data are month-by-month variations in climate over the period 1901-2011, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. CRU TS 3.20 data were produced using the same methodology as for the 3.00 and 3.10 datasets. CRU TS 3.20 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure and wet day frequency for the period 1901-2011. The CRU TS 3.20 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and netcdf data files both contain monthly mean values for the various parameters. All CRU TS output files are actual values - NOT anomalies. CRU TS data are available for download to all CEDA users.

Level 1b consolidated, near-real time and reprocessed data from the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) instrument on the ENVISAT satellite operated by ESA. These data are Instrument Processor Facility (IPF) version 5 data. Original release is version 5.02 with bug fixes implemented in versions 5.05 and 5.06. Improvements with respect to the previous version 4.67 data include trunctation of the interferogram at 8 cm to avoid undersampling for the Optimised Resolution (OR) mission, improved engineering heights calculation, calculation of quadratic terms for spectral calibration included in output products, and addition of L0 house keeping data packets. Data are from 1st July 2002 to 8th April 2012.