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The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.
ARSF project 04/09: The impact of spatial variability in LAI and albedo on the uncertainty in estimates of evaporation. PI: R. Harding. Site: Wantage.
This dataset contains output data from a number of models from the UK Met Office Hadley Centre which was processed into text files at the Climate Research Unit at the University of East Anglia. The data extraction was intended for use by the Climate Impacts Community (and was funded by the UK Departement of Environment Food and Rural Affairs, Defra). Output from each model is stored in a separate directory in the BADC archive, and the majority of the data comes from experiments performed using the Hadley centre Coupled Model, Version 3 (HadCM3). Note that is dataset is kept for historical purposes only. More consistent and complete HadCM3 data is available from the main British Atmospheric Data Centre (BADC) HadCM3 archive.
Gridded daily meteorological variables over the United Kingdom at 1 km resolution for the years 1980-2080. This dataset is an ensemble of four different realisations of future climate for each of four different representative concentration pathway scenarios (RCP2.6, RCP4.5, RCP6.0 and RCP8.5), provided both with and without bias correction. This dataset contains time series of daily mean values of air temperature (K), specific humidity (kg kg-1), relative humidity (%), wind speed (m s-1), downward longwave radiation (W m-2), downward shortwave radiation (W m-2), precipitation (kg m-2 s-2) and surface air pressure (Pa). It also contains time series of daily minimum air temperature (K), daily maximum air temperature (K) and daily temperature range (K). The data are provided in gridded netCDF files at 1 km resolution aligned to the Ordnance Survey / British National Grid. There is one file for each variable for each month of the daily data. Also provided are monthly, seasonal and annual means, for which there is one file for each variable for each time resolution. Additionally twenty year mean-monthly (Jan-Dec) climatologies at ten year intervals are provided, for which there is one file for each variable for each twenty year time slice. The projections use a 360-day calendar, where each month consists of 30 days.
Landsat 4 and Landsat 5 carry both the TM (thematic mapper) and the MSS (multi-spectral scanner) sensors, though routine collection of MSS data was terminated in late 1992. The satellites orbit at an altitude of 705 km and provide a 16-day, 233-orbit cycle with a swath overlap that varies from 7 percent at the Equator to nearly 84 percent at 81 degrees north or south latitude. Landsat data is widely used in many fields including geology, agriculture, resource management, climate analysis etc. The Landsat program is jointly managed by the National Aeronautics and Space Administration (NASA) and the US Geological Survey (USGS). The NERC Earth Observation Data Centre (NEODC) now also holds the data.
ARSF project MC04/14: Airborne thermography and spectral sensitivity analysis of the soil and soil-vegetation interface for archaeological prospection. PI: Daniel Donoghue. Sites: Cersosimo, Arpi, Heslerton
HiGEM (High Resolution Global Environmental Modelling) is a UK programme in between NERC (Natural Environment Research Council) and the Hadley Centre of the Met Office. The aim is to advance in the fidelity of simulations of the global environment by taking the new Met Office climate model (HadGEM1a) to unprecedented resolutions. The resulting simulations aim to improve our understanding of mechanisms of climate variability and change on timescales of days to centuries.
The Intergovernmental Panel on Climate Change (IPCC) Data Distribution Centre provides four main types of data and guidance: 1. Observed Climate Data Sets; 2. Global Climate Model Data; 3. Socio-economic data and scenarios; 4. Data and scenarios for other environmental changes.
This dataset contains level 2 vector formatted data derived from the Centre of Ecology and Hydrology's (CEH) Land Cover Map 2000 (LCM2000) data for the Thorney Island, South Coast of England, UK, NCAVEO calibration/validation (cal/val) test site. The NERC funded Network for Calibration and Validation of EO (NCAVEO) campaign was designed to illustrate and explain the processes involved in cal/val of earth observation data.
The EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. The dataset contains static air temperature, static air pressure, relative humidity, water vapour mixing ratio, and ozone mixing ratio. These data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme.