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atmosphere

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  • Cascade was a NERC funded consortium project to study organized convection and scale interactions in the tropical atmosphere using large domain cloud system resolving model simulations. This dataset contains data from the xfhfe simulation which ran using the Met Office Unified Model (UM) at 4km horizontal resolution over the domain 40E-183E, 22S-22N which encompasses the Indian Ocean West Pacific Warm Pool. Cascade Warm Pool simulations are used to study the Madden-Julian Oscillation (MJO), they also coincide with the Year of Tropical Convection.

  • The gridded CRU TS (time-series) 3.24.01 data are month-by-month variations in climate over the period 1901-2015, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia. CRU TS 3.24.01 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period Jan. 1901 - Dec. 2015. CRU TS 3.24.01 data were produced using the same methodology as for the 3.21 datasets. In addition to updating the dataset with 2015 data, some new stations have been added for TMP and PRE only. This release should be used in place of v3.24 which has been withdrawn. Known issues predating this release remain. The CRU TS 3.24.01 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.

  • The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes. This dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A318 for research purposes.

  • The gridded Climatic Research Unit (CRU) Time-series (TS) data version 4.02 data are month-by-month variations in climate over the period 1901-2017, provided on high-resolution (0.5x0.5 degree) grids, produced by CRU at the University of East Anglia. The CRU TS4.02 variables are cloud cover, diurnal temperature range, frost day frequency, potential evapotranspiration (PET), precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period January 1901 - December 2017. The CRU TS4.02 data were produced using angular-distance weighting (ADW) interpolation. All version 3 releases used triangulation routines in IDL. Please see the release notes for full details of this version update. CRU TS4.02 is a full release, differing only in methodology from the parallel release, v3.26. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. The CRU TS4.02 data are monthly gridded fields based on monthly observational data 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. The NetCDF versions contain an additional integer variable, ’stn’, which provides, for each datum in the main variable, a count (between 0 and 8) of the number of stations used in that interpolation. The missing value code for 'stn' is -999. All CRU TS output files are actual values - NOT anomalies.

  • The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes. This dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A258 for research purposes.

  • The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes. This dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A260 for research purposes.

  • Cascade was a NERC funded consortium project to study organized convection and scale interactions in the tropical atmosphere using large domain cloud system resolving model simulations. The xfvbb simulation was made using the Met Office Unified Model (UM) at 12km resolution over the domain 40E-183E, 22S-22N which encompasses the Indian Ocean West Pacific Warm Pool. Cascade Warm Pool simulations coincide with the Year of Tropical Convection. This dataset contains Warm Pool 12km model measurements from xfvbb run.

  • The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes. This dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A320 for research purposes.

  • The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes. This dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A512 for research purposes.

  • Level 2 data (vertical columns of trace gases) from the SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY (SCIAMACHY). SCHIAMACHY was one of the ten instruments on-board the Envisat satellite launched from Kourou (French Guyana) on the 28th of February 2002. Envisat was operated by the European Space Agency (ESA) until May 2012. SCIAMACHY was used to provide global measurements of trace gases in the troposphere and the stratosphere. These data are calculated using the radiance observations and known absorption spectra of such gases. Fully reprocessed Level 2 data is available, with samples of near-real-time (nrt) and consolidated (result of a first processing by ESA to eliminate bad data and perform a few basic checks) data.