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The Geostationary Earth Radiation Budget (GERB) instrument makes accurate measurements of the Earth Radiation Budget. It was specifically designed to be mounted on a geostationary satellite and was carried onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The first GERB instrument, GERB-2, was onboard Meteosat Second Generation satellite, MSG-1, and began transmitting data on 12th December 2002. GERB-1 was launched onboard MSG-2 on 21st December 2005. Future GERB sensors units are planned for MSG-3 and MSG-4. This dataset collection contains the incident and reflected solar radiation together with thermal radiation emitted by the Earth's atmosphere. The amount of solar radiation absorbed is the difference between the the incoming and reflected solar radiation and is the energy source of the Earth-atmosphere system. The thermal radiation emitted by the atmosphere is the only sink of energy so, therefore, the budget is the difference between the two. Seasonal changes in the ERB are mainly due to changes in incoming solar radiation but there is a large amount of variability on timescales of hours to days, mainly due to clouds. The global coverage and sampling frequency required for accurate climate models requires that ERB measurements are made from satellites.
"The Role of Air-Sea Forcing in Causing Rapid Changes in the North Atlantic Thermohaline Circulation" project was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 1 - NER/T/S/2002/00427 - Duration 16 Feb 2004 - 15 Oct 2007) led by Dr Simon Josey of National Ocenaography Centre, with co-investigators also at the National Oceanography Centre. This dataset collections contains analysis of coupled model output of surface forcing variability in ocean circulation. The main aims of this proposal were to determine the role that surface forcing variability plays in causing rapid changes in the ocean circulation and to examine the effect of such changes on climate. These issues are addressed through a combined analysis of coupled model output and observational datasets. The focus of the analysis was in the North Atlantic thermohaline circulation (THC) although the results have been interpreted in the broader context of the global climate system. Variations in the air-sea fluxes of surface heat and freshwater have the potential to cause rapid changes in the ocean circulation eg through their influence on deep convection. However, the relationship between surface forcing variability and rapid changes in the ocean remains to be properly determined; our goal was to significantly improve understanding of this area. 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 operational NWP (Numerical Weather Prediction) output from the global atmospheric part of the Met Office global atmospheric Unified Model. The Met Office Unified Model is the numerical modelling system developed and used at the Met Office (it is run operationally for weather forecasting). It is 'seamless' in that different configurations of the same model are used across all time and space scales. This model can produce several datasets of which CEDA holds the following: Met Office Global Atmospheric Model data Met Office North Atlantic/European (NAE) Mesoscale Model data The Met Office Global Atmospheric Model has 25 km resolution with 70 vertical levels. It Covers the entire globe and 144 hours in the future twice a day. The Global model provides boundary information for the NAE model, for which additional shorter runs (48 hours) are produced twice a day. The model is kept close to the real atmosphere using hybrid 4D-Var data assimilation of observations. 17km resolution with 70 vertical levels is now also available. Analyses and first forecast steps are stored to give a time resolution of 1 hour up to 6 hours after each analysis timestep. The NWP global output archive starts on 1 January 2012, and is ongoing.
ClearfLo (Clean Air for London) Project was a collaborative scientific project involving several academic institutions in the UK, which aimed to set up air pollution monitoring sites alongside meteorological measurements to investigate boundary layer pollution across London. This dataset collection contains meteorology, composition and particulate loading measurements of London's urban atmosphere. The ambition of ClearfLo was to provide long-term integrated measurements of the meteorology, composition and particulate loading of London’s urban atmosphere, made at street level and at elevated sites, complemented by modelling to improve predictive capability for air quality. ClearfLo was funded by the Natural Environment Research Council (NERC) for three years from Jan 2010, and was coordinated by the National Centre for Atmospheric Science (NCAS).
The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have been designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations. The proposed list of experiments and diagnostics was aimed at providing necessary information for scientific studies spanning the AC&C interests. This dataset collection contains chemistry and climate model measurements.
Data from HasISST contains measurements of sea surface temperature (SST) and also global sea ice coverage (HadISST1.1). Dataset include: - Global Ocean Surface Temperature (HadISST_1.1_SST), a set of SST data in monthly 1° area grids, for 1870 to October 2015. - Global sea-Ice content, (HadISST_1.1_ICE), monthly 1° grids of ice coverage for 1870 to October 2015. In situ sea surface observations and satellite derived estimates at the sea surface are included in the analysis. SST bucket corrections have been applied to gridded fields from 1870 through 1941. And a blend of satellite AVHRR (for SST), SSMI (for ice) and observations are used in the modern periods. This data product replaces the GISST/GICE (Global Sea Surface Temperature/Global sea-Ice content) data sets ended in February 2003. The data were provided by the Hadley Centre (Met Office). Updates are available from the Hadley Centre.
The Global Ocean Surface Temperature Atlas Plus (GOSTAplus) contains maps of Sea Surface Temperature (SST) climatologies and anomalies, Night Marine Air temperature climatologies and anomalies and Sea Ice coverage spanning the period 1851-1995. Dataset includes gridded, global SSTs from 1951-1990 and Sea Ice coverage from 1903 to 1994. The data are provided by the Met Office. Updated version of some data also available on request.
Global analyses from the European Centre for Medium-Range Weather Forecasts (ECMWF) from 1994 - present. This dataset collection follows on from the ECMWF Re-Analysis (ERA-15 and ERA-40) datasets with the same parameters at identical resolutions. Data is available in a number of resolutions and vertical level types. Some Monthly means and Seasonal Forecast data (1987-present) are also available.
The Quantifying the Amazon Isoprene Budget: Reconciling Top-down versus Bottom-up Emission Estimates project ran a unique high resolution model for the Amazon basin, able to simulate isoprene emissions and atmospheric chemistry. Model outputs are available through CEDA. This was a NERC funded project (NE/G013810/1).
Numerical model data from various Hadley Centre coupled model 3 (HadCM3) experiments. These data cover various time periods, but for the climate change experimenst are typically over the range 1989-2100 and contains all atmospheric fields derived from the HadCM3 model, at various time resolutions.