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Data from the NASA Goddard Institute for Space Studies (NASA/GISS), USA GISS ModelE-R simulations
This dataset contains zonal-mean model-generated and diagnosed heating rates as potential temperature tendencies on pressure levels. The model-generated heating rates consist of total heating rates due to parameterized physics along with heating rates due to long-wave and short-wave radiative transfer, as generated during the model forecast step. The diagnosed heating rates are calculated from the zonal-mean atmospheric diagnostics (Zonal-mean reanalyses on pressure levels dataset) according to the zonal-mean thermodynamic equation. All heating rates are provided 6-hourly on identical horizontal and vertical grids as the dynamical variables included in Zonal-mean reanalyses on pressure levels dataset. However, the time axis of this dataset lags that of Zonal-mean reanalyses on pressure levels dataset by three hours. This dataset was produced to facilitate the comparison of reanalysis datasets for the collaborators of the SPARC- Reanalysis Intercomparison Project (S-RIP). The dataset is substantially smaller in size compared to the full three dimensional reanalysis fields and uses unified numerical methods. The dataset includes all global reanalyses available at the time of its development and will be extended to new reanalysis products in the future.
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. The xewxaa simulation was made using the Met Office Unified Model (UM) at 40km resolution over the domain 40E-183E, 22S-22N which encompasses the Indian Ocean West Pacific Warm Pool. Cascade Warm Pool simulations coincide with the Year of Tropical Convection. This dataset contains Warm Pool 40km model measurements from xewxaa run.
The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. This dataset contains wind profile measurements which were taken by the Facility for Ground-based Atmospheric Measurements' (FGAM) 1290 MHz Degreane Mobile Wind Profiler, operated by the University of Manchester,as part of the DIAMET (Diabatic influences on mesoscale structures in extratropical storms) project from 9th August 2011 to 17th February 2012. During this period the instrument was deployed at the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, UK. These data are available in netCDF and include wind speed, wind direction, signal to noise ratio and spectral width.
Data from the Centre National de Recherches Meteorologiques CNRM-CM3 simulations
Quaternary QUEST was led by Dr Tim Lenton at UEA, with a team of 10 co-investigators at the Universities of Cambridge, Oxford, Reading, Leeds, Bristol, Southampton and at UEA. This dataset contains FAMOUS (FAst Met Office/UK Universities Simulator) glacial cycle model data from 150,000 years ago to present. The project team aimed to compile a synthesis of palaeodata from sediments and ice cores, improve the synchronization of these records with each other, and use this greater understanding of the Earth’s ancient atmosphere to improve Earth system models simulating climate over very long timescales. A combined long-term data synthesis and modelling approach has helped to constrain some key mechanisms responsible for glacial-interglacial CO2 change, and Quaternary QUEST have narrowed the field of ocean processes that could have caused glacial CO2 drawdown.
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 were designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations. This dataset contains measurements from climate simulations from MeteoFrance of the 20th century and the future projections, which output feedback between dynamics, chemistry and radiation in every model time step. The data are collected from running the latest set of ozone precursor emissions scenarios, which output tropospheric ozone changes from 1850 to 2100.
Cloud base and backscatter data from the Met Office's Odiham Cl31 ceilometer located at Odiham, Hampshire. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.
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 contains the Advanced Along-Track Scanning Radiometer on ESA ENVISAT satellite (AATSR) Spatially Averaged Sea Surface Temperature Product for Meteo Users. These data are the Level 2 product designed for the use by meteorological offices derived from Level 2 AST product. The product contains only the sea surface temperature with spatial resolution of 10 arc minutes. It also contains Average Brightness Temperature (ABT) fields, which includes brightness temperature and TOA sea record on the same spatial resolution. Like the AST product this product is derived from, all areas contains data, where the land pixels have empty data, and the coasts containing averages derived only from the sea pixels in the cell. The third reprocessing was done to implement the updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files.
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 zfdya simulation which ran using the Met Office Unified Model (UM) at 12km horizontal resolution over the domain 20W-20E, 5S-28N which encompasses the west african monsoon. Cascade Africa simulations are used to study African Easterly Waves. This dataset contains 12km Africa model measurements from zfdya runs.