ACCACIA was part of the NERC Arctic research programme. (NERC Reference: NE/I028858/1). ACCACIA aimed to improve our understanding of aerosol-cloud interactions in the Arctic, and the potential changes and feedbacks that may result from decreasing Arctic sea ice cover in the future. In situ measurements have been made during two field campaigns utilising ship-based measurements of surface aerosol sources and airborne measurements of aerosol and cloud microphysical properties, boundary layer dynamics, and radiative forcing. The observations have been complemented by modelling studies on a range of scales: from explicit aerosol and cloud microphysics process modelling, through large eddy simulation and mesoscale models, up to global climate models. This dataset contains measurements from the Met Office UM (Unified Model) model.

The Upper Atmosphere Research Satellite (UARS) was the first major element in NASA's Mission to Planet Earth. It was designed to make a systematic study of the stratosphere and provide new data on the mesosphere and thermosphere. The satellite was launched on 12th September 1991. This dataset contains standard data concerning stratospheric temperature, geopotential height and wind components produced by the upper atmosphere research satellite 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.

This dataset contains mean 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.

Transport and mixing in fronts was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00149 - Duration 2002 - 2005) and was led by DR SL Gray, University of Reading. The data consists of the rate at which frontal regions in weather systems transport polluted air from the boundary layer to the free troposphere using very high-resolution model simulations backed up by observations. These simulations were made using the Met Office operational unified model (UM) run locally at the University of Reading. These contain 3D tracer distributions from 02UTC 09/05/05 - 02UTC 10/05/05 for four separate tracers. -Field 71 is the tracer transported by advection only, -field 72 is the tracer transported by advection and mixing, -field 73 is the tracer transported by advection, mixing and convection and -field 74 is the tracer transported by advection, mixing and convection.

This dataset contains standard assimilated data concerning stratospheric temperature, geopotential height and wind components produced by the Stratospheric Data Assimilation System at the UK Met Office. Data is provided from 1991 to 2022. 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. The global model producing this data was updated on July 11th 2017. Data from this date has an increased resolution of N1280L70: 2560 latitude x1920 longitude and vertical 70 levels (model top 80 km), see the documentation for full details.

The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. This dataset contains model output files from experiments assimilating radial winds from insects are also available.