SCCS presentations, consultations, responses, briefings and communications on CCS and CO2 storage for the period 2010 - 2014

ARSF - GB07/03 project: Modelling Soil Hydrology and Biodiversity as Affected by Microtopography. Led by: Dr. John Scullion, Institute of Biological Sciences, Edward Llwyd Building, The University of Wales, Aberystwyth, Ceredigion, SY23 3DA. Location: Rhos, South Wales, UK.

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.

This dataset consists of the Enhanced Digital Terrain Model (DTME) from the NEXTMap British Digital Terrain Model project produced by Intermap. These data have a spatial resolution of 5m and cover the British Isles, but have been manually edited to remove embankments etc.).

ARSF PROJECT IPY07/13: Characterisation of ice-marginal landscape change and proglacial fluvial response to rapid glacier retreat, SkeiDararjökull, Iceland using airborne LiDAR. Led by: Dr. Andrew Russell, School of Geography, Politics and Sociology, Newcastle University, Daysh Building, Newcastle upon Tyne, NE1 7RU. Location: SE Iceland.

Ice dynamics, calving and recession at Breidamerkurjökull, Iceland. Led by Dr. Adrian Luckman, Department of Geography, Swansea University, Swansea, SA2 8PP.

Oxidant and Particle Photochemical Processes above a South-East Asian tropical rain forest (OP3-Danum-08) is a 3-year Consortium Grant of the Natural Environment Research Council (NERC), beginning 1 October 2007. The objectives of the OP3 project are (i) to understand how emissions of reactive trace gases from a tropical rain forest mediate the production and processing of oxidants and particles in the troposphere, and (ii) to better understand the impact of these processes on local, regional and global scale atmospheric composition, chemistry and climate.

A sonic anemometer and a gas analyser measuring water vapour and carbon dioxide are co-located within a compound dedicated to measuring fluxes using the eddy covariance method at Chilbolton Observatory. The eddy covariance technique is an atmospheric measurement method used to calculate vertical turbulent fluxes within the atmospheric boundary layer. This is the lowest region of the troposphere and is usually well mixed, particularly during daylight hours, due to convective heating from the sun. It is this motion in the lower troposphere that makes the technique possible. In order to properly measure the turbulent properties of the atmosphere the measurements must be made at a high frequency - 20 Hz for the Chilbolton Observatory system. A sonic anemometer measures the 3 orthogonal components of the wind velocity by measuring the changes in the time of flight of sonic pulses between 3 transmitter/receiver pairs as a result of the air velocity. A gas analyser measures the absorptance of radiation along a fixed path and uses this to determine the concentration of a gas in air. For each gas the absorptance at 2 wavelengths is measured 152 times per second, one affected by that gas and the other unaffected. There are more accurate instruments available for measuring water vapour and carbon dioxide (e.g. a relative humidity sensor for water vapour) but the benefit of the gas analyser is that it has a sufficiently fast response to resolve the rapid changes in concentration as a result of turbulence.

Accumulated forecast parameters on a reduced N256 Gaussian grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme. The ERA-Interim global atmospheric reanalysis of the covers 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects. This subset of the ERA-Interim dataset contains 14 parameters on 60 model levels covering clear sky long and short wave radiation, up- and down-draft parameters, total precipitation, temperature and humidity tendencies, turbulent diffusion coefficient for heat, zonal and meridional wind tendencies.

ARSF project IPY07/09: The relationship between faulting and magmatism in the Krafla rift segment, Iceland. Led by: Dr. Tim Wright, School of Earth and Environment, University of Leeds, Leeds, LS2 9JT. Location: Krafla Glacier, Iceland.