Contact data centre for format details.
Type of resources
Contact for the resource
Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). This dataset collection contains version 3 AATSR Multimission land and sea surface data. These data are identical to version 2.1. The instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.
The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) OXIdising Capacity of the Ocean Atmosphere (OXICOA) was a study of oxidant, radical and related gas-phase chemistry in the clean and moderately polluted marine atmosphere. The objectives of Ozone Profile Experiment (OZPROF) was to obtain ozone profiles data which could be used to study the variations and structures of tropospheric ozone. This collection contains ozone profiles data obtained from Aberystwyth using ozonesondes and LIDAR for the period between 1996 and 1998.
How feasible is it to predict Arctic climate at seasonal-to-interannual timescales? As part of the APPOSITE project a multi-model ensemble prediction experiment was conducted in order to answer this question. The main goal of APPOSITE was to quantify the timescales on which Arctic climate is predictable. In order to achieve this, a coordinated set of idealised initial condition predictability experiments with seven general circulation models was conducted. This was the first intercomparison project designed to quantify the predictability of Arctic climate on seasonal to interannual timescales. Several different coupled climate models performed simulations for APPOSITE (see Doc below for Details of simulations submitted to the APPOSITE database). Six of these models followed the same experimental protocol (see Doc below for Control Simulations details and for Ensemble Predictions). One model, CanCM4 followed a slightly different protocol. The Model data output from the APPOSITE project are now archived at CEDA. The collection of model outputs (control and prediction) include data from: - Canadian Centre for Climate Modelling and Analysis (CanCM4) - ECHAM6-FESOM (E6F), run and developed by the Alfred Wegener Institute. - EC-Earth consortium (ec-earth_v2_3) - Geophysical Fluid Dynamics Laboratory (gfdlcm3) - Met Office (hadgem1-2) - Model for Interdisciplinary Research on Climate (MIROC5-2) - Max-Planck-Institut for Meteorologie (mpiesm) Although designed to address Arctic predictability, this data set could also be used to assess the predictability of other regions and modes of climate variability on these timescales, such as the El Nino Southern Oscillation. A paper describing the simulations for APPOSITE is in preparation to be submitted to the Geoscientific Model Development Journal. Note: These data do not correspond to a particular time period since the studies are all conducted in the model world. They are not predictions or attempts to simulate a particular period of time. So the dates in the files are completely arbitrary.
Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). This dataset collection contains version 2.1 AATSR Multimission land and sea surface data. The instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.
The fully Global Mean Sea-Level Pressure (GMSLP) dataset, was developed in collaboration with CSIRO (Scientific and Industrial Research for Australia), Australia and NIWA (National Institute of Water and Atmospheric Research), New Zealand. It is an historical, 5 deg. x 5 deg. gridded monthly dataset covering the period 1871-1994. The Met Office Hadley Centre recently produced the HadSLP1 dataset which replaces the Global Mean Sea Level Pressure (GMSLP) data sets, and is a unique combination of monthly globally-complete fields of land and sea pressure observations a 5 degree latitude-longitude grid from 1871 to 1998.
High resolution radiosonde data from the British Antarctic Survey's stations Halley and Rothera are available. The data consists of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, radiosonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km. The archive has data from 2001 and generally there is 1 ascent per day from both stations.
The aim of the GRAPE project was to produce a global cloud and aerosol dataset using a state-of-the-art physical retrieval of the entire duration of the Along Track Scanning Radiometer 2 (ATSR-2) mission (aboard ERS-2). This dataset will be compared and contrasted with existing climatologies (based on different instruments and very different retrieval algorithms). The GRAPE project was initially funded through the Clouds, Water Vapour and Climate (CWVC) Programme, a five-year NERC directed research programme. The dataset has been developed further within the National Centre for Earth Observation (NCEO) and now includes data from the Advanced Along Track Scanning Radiometer (AATSR). The GRAPE dataset contains cloud optical depth, aerosol optical depth (cloud free), cloud phase, cloud particle size, cloud top pressure, cloud fraction and cloud ice/water path along with associated error measurements.
In-situ airborne observations by the FAAM BAE-146 aircraft for T-NAWDEX (Pilot) - THORPEX - North Atlantic Waveguide and Downstream .
Data from the operational NWP (Numerical Weather Prediction) output from the North Atlantic European (NAE) part of the Met Office Unified Model. The NAE model runs on a grid centred around the UK. Analyses and first forecast steps are stored to give an hourly resolution for 6 hours following each analysis time-step. This archive currently holds data from January 2012 onwards but data will be back populated for earlier years.
QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset collection contains climatology, soil. population, ecosystem and land cover data. To facilitate this data exchange, and to avoid replication of the often labour-intensive efforts to source and visualize data, QUEST set up the QUEST Earth System Data Initiative - QESDI - a mechanism for easy, centralized access with flexible statistical and visualization tools for consistent processing and presentation of global data sets.