Creation year

2008

172 record(s)
 
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From 1 - 10 / 172
  • "To what extent was the Little Ice Age a result of a change in the thermohaline circulation?" project. This was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Joint International Round - NE/C509507/1 - Duration 1 Aug 2005 - 31 Jul 2008) led by Dr Tim Osborn of the University of East Anglia, with co-investigators at the University of East Anglia and Royal Netherlands Meteorology Institute. The dataset contains fresh water hosing model output from the CMIP experiment run by the HadCM3 model. The freshwater was added to the North Atlantic basin between latitudes 50°N and 70°N.

  • "The Circulation, overflow, and deep convection studies in the Nordic Seas using tracers and models" project was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 1 - NER/T/S/2002/00446 - Duration 1 Aug 2003 - 31 Oct 2006 ) led by Prof Andrew Watson of the University of East Anglia, also with co-investigators at the University of East Anglia. Dataset contains sources of water in the Greenland-Scotland overflows: recent tracer release and transient tracer observations, as well as the initiation of convection and its relation to submesoscale hydrodynamics. This dataset contains MIT General Circulation Model (MITgcm) ocean model basin experiment outputs.

  • 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 xeule simulation which ran using the Met Office Unified Model (UM) at 40km horizontal resolution over an idealised equatorial domain of about 8000x4000km. Cascade Idealised simulations are used to study warm pool convection and equatorial waves.

  • 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.

  • The ozone satellite data describe ozone measurements deduced from satellite data. The dataset contains atmospheric profiles of ozone concentrations. The data are measured by satellites and around 2700 observations are made per day.

  • As part of the 2006 Field Campaign of the Network for Calibration and Validation of EO data (NCAVEO), an Intergraph Z/I Imaging Digital Mapping Camera (DMC) was used to collect data in 4 spectral bands in the visible and near infrared, at a nominal ground resolution of 65cm. The Chilbolton site was flown over on the 9th June 2006 by the Ordnance Survey, resulting in 84 strips captured over the Area of Interest (2048 x 3072) with 60% overlap along the track. The data was orthorectified to the British National Grid using photogrammetric methods.

  • "Improving our ability to predict rapid changes in the El Nino Southern Oscillation climatic phenomenon" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 1 - NER/T/S/2002/00443 - Duration 1 Jan 2004 - 30 Sep 2007) led by Prof Alexander Tudhope of the University of Edinburgh, with co-investigators at the Scottish Universities Environment Research Centre, Bigelow Laboratory for Ocean Sciences, and the University of Reading. This dataset collection contains meteorology and ocean model outputs from the FRUGAL model. The objective was to use a combination of palaeoclimate reconstruction from annually-banded corals and the fully coupled HadCM3 atmosphere-ocean general circulation model to develop an understanding of the controls on variability in the strength and frequency of ENSO, and to improve our ability to predict the likelihood of future rapid changes in this important element of the climate system. To achieve this, we targeted three periods:0-2.5 ka: Representative of near-modern climate forcing; revealing the internal variability in the system.6-9 ka: a period of weak or absent ENSO, and different orbital forcing; a test of the model's ability to capture externally-forced change in ENSO.200-2100 AD: by using the palaeo periods to test and optimise model parameterisation, produce a new, improved, prediction of ENSO variability in a warming world. Rapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.

  • This dataset contains output data from a number of models associated with the IPCC Third Assessment Report. This data was processed 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 Department of Environment Food and Rural Affairs, Defra). Data from various modelling centres and models: CCCMA, CSIRO, ECHAM4, GFDL99, HADCM3, NIES99.

  • "To what extent was the Little Ice Age a result of a change in the thermohaline circulation?" project. This was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Joint International Round - NE/C509507/1 - Duration 1 Aug 2005 - 31 Jul 2008) led by Dr Tim Osborn of the University of East Anglia, with co-investigators at the University of East Anglia and Royal Netherlands Meteorology Institute. The dataset contains positive North Atlantic Oscillation model output from the HadCM3 model.