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.

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.

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.

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.

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.

This dataset collection contain data concerning stratospheric temperature, geopotential height and wind components produced by the Stratospheric Data Assimilation System at the UK Met Office. The data assimilation system is a development of the scheme used at the Met Office for operational weather forecasting, which has been extended to cover the stratosphere. The primary product is a daily analysis (at 1200 UTC) which is produced using operational observations only. For short periods of particular interest the analyses are available at 6-hourly intervals. Assimilation experiments using UARS (Upper Atmosphere Research Satellite) data in addition to operational meteorological observations have been carried out for limited periods. These data consist of 3-dimensional gridpoint analyses of temperature, geopotential height and wind components fields at 2.5 x 3.75 degree resolution from the ground to 0.3 hPa (for the period from 17th October 1991 (UARS day 36) to 2006-03-13) and on a smaller grid size 0.5625 degree x 0.375 degree on 27 (or 26 depending on variable) pressure levels, (note, this does not apply for the UARS versions of the data files), for the period 2006-03-03 to present day.

This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4) retrieved from the IASI instrument on the MetOp-B satellite. It also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1. This dataset was produced by Version 2.0 of the Rutherford Appleton Laboratory's (RAL's) IASI optimal estimation scheme to retrieve methane, which takes as input temperature and water vapour profiles and surface spectral emissivity pre-retrieved by RAL's Infrared and Microwave Scheme applied to IASI, MHS and AMSU-A on MetOp-B. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels. Development of the Version 2.0 scheme and its application to MetOp-A (2007-2017, http://dx.doi.org/10.5285/f717a8ea622f495397f4e76f777349d1) was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Adaptation to MetOp-B and production of the IASI MetOp-B methane dataset 01/2018-03/2021 were funded by NCEO and ESA Contract No. 4000129987/20/I-DT Methane+. Data were produced by the United Kingdom Research and Innovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL).

The Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4). It also includes column-averaged water vapour (H2O), a scale factor for the HDO volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1 by the Rutherford Appleton Laboratory (RAL) IASI optimal estimation methane retrieval scheme. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels. This work was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Data were produced by the Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL). This is version 1.0 of this dataset and is the first to be released.

This Infrared Atmospheric Sounding Interferometer (IASI) methane dataset contains height-resolved and column-averaged volume mixing ratios of atmospheric methane (CH4). It also includes column-averaged water vapour (H2O), a scale factor for the HDO (water vapour isotopologue) volume mixing ratio profile, surface temperature, effective cloud fraction, effective cloud-top pressure and scale factors for two systematic residual spectra which are jointly retrieved from the spectral range 1232.25-1290.00 cm-1 by the Rutherford Appleton Laboratory (RAL) IASI optimal estimation methane retrieval scheme. The dataset additionally contains selected a priori values and uncertainties adopted in the optimal estimation scheme and retrieval output diagnostics such as the retrieval cost and the averaging kernels. This work was funded by the National Centre for Earth Observation (NCEO) under the UK Natural Environment Research Council (NERC) with additional funding from EUMETSAT. Data were produced by the United Kingdom Research and Innnovation (UKRI) Science and Technology Facilities Council (STFC) Remote Sensing Group (RSG) at the Rutherford Appleton Laboratory (RAL). This is version 2.0 of the dataset.