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Atmosphere

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  • In Autumn 1995, the Goddard Distributed Active Archive Center (GDAAC) compiled the Climatology Interdisciplinary Data Collection (CIDC) to facilitate interdisciplinary studies related to climate and global change. This data collection has been produced in collaboration with the Center for Earth Observing and Space Research (CEOSR), Institute for Computational Sciences and Informatics (CSI), and George Mason University. It was designed for the study of global change, seasonal to interannual climate change, and other phenomena that require from one to dozens of interacting parameters. This dataset contains atmospheric measurements.

  • In Autumn 1995, the Goddard Distributed Active Archive Center (GDAAC) compiled the Climatology Interdisciplinary Data Collection (CIDC) to facilitate interdisciplinary studies related to climate and global change. This data collection has been produced in collaboration with the Center for Earth Observing and Space Research (CEOSR), Institute for Computational Sciences and Informatics (CSI), and George Mason University. It was designed for the study of global change, seasonal to interannual climate change, and other phenomena that require from one to dozens of interacting parameters. This dataset contains volume 2 atmospheric dynamics measurements.

  • The CLOUDMAP 2 project cloud products include cloud top pressure, height, phase, fraction, effective radius and optical depth derived using a variational analysis method applied to data from the Along Track Scanning Radiometer-2 (ATSR-2) over Europe. These data are the result of a contract to Eumetsat for application to the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) and partly under the European Framework 5 CLOUMAP2 project. This dataset contains Rutherford Appleton Laboratory (RAL) cloud radar products.

  • The CLOUDMAP 2 project cloud products include cloud top pressure, height, phase, fraction, effective radius and optical depth derived using a variational analysis method applied to data from the Along Track Scanning Radiometer-2 (ATSR-2) over Europe. These data are the result of a contract to Eumetsat for application to the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) and partly under the European Framework 5 CLOUMAP2 project. This dataset contains ATSR cloud products from Rutherford Appleton Laboratory (RAL).

  • The CLOUDMAP 2 project cloud products include cloud top pressure, height, phase, fraction, effective radius and optical depth derived using a variational analysis method applied to data from the Along Track Scanning Radiometer-2 (ATSR-2) over Europe. These data are the result of a contract to Eumetsat for application to the Spinning Enhanced Visible Infra-Red Imager (SEVIRI) and partly under the European Framework 5 CLOUMAP2 project. This dataset contains ATSR cloud products from University College London (UCL).

  • The objective of the Greenhouse Effect Detection Experiment (GEDEX) was to assemble and document existing data for the analysis of global climate change and to distribute these data to promote further research.Data from GEDEX comprises of a collection of 60+ global climate change datasets assembled on a NASA CD-ROM. Data include surface, upper air and satellite measurements of temperature, solar irradiance, clouds, greenhouse gases, fluxes, albedos, ozone and water vapour plus Southern Oscillation indices and QBO statistics. Specific datasets include the Earth Radiation Budget Experiment (ERBE), the Advanced Very High Resolution Radiometer (AVHRR), the Stratospheric Aerosol and Gas Experiment (SAGE I and II), the TIROS Operational Vertical Sounder (TOVS), Visible Infrared Spin Scan Radiometer (VISSR) and the International Satellite Cloud Climatology Project (ISCCP). Resolution and timespan varies with dataset. This dataset contains Atmospheric constituent measurements.

  • This CD-ROM contains data from the combined experiment: Airborne Southern Hemisphere Ozone Experiment; and Measurements for Assessing the Effects of Stratospheric Aircraft (ASHOE/MAESA). This experiment was conducted in four phases between March and November 1994 at NASA Ames Research Center, California; Barbers Point, Hawaii; and Christchurch, New Zealand. Most of the data are essentially in their final form, but additional calibrations are being done for some instruments. A second edition incorporating any changes to the datasets is anticipated in mid 1996. The data consist of in situ and remotely sensed measurements collected onboard the NASA ER-2 aircraft (including O3, H2O, N2O, CO2, CH4, CO, H2, SF6 and a wide range of CFCs); radiosonde, ozonesonde, and backscatter sonde balloon measurements; ground-based spectrometer and lidar measurements; and SAGE II satellite measurements. Theory teams provided calculations of: meteorological parameters in the form of partial hemispheric analyses, cross-sections along the ER-2 flight track, interpolations to the ER-2 flight path, and back- trajectories of selected parcels along the ER-2 flight path; photodissociation rates of selected chemical species along the ER-2 flight path; and cloud properties along the ER-2 flight track.

  • HIRDLS was a mid-infrared limb-scanning radiometer (21 channels from 6.12 to 17.76 µm and provided sounding observations to observe the lower stratosphere with improved sensitivity and accuracy. HIRDLS was carried on the Aura mission, part of the A-train procession of polar orbiting satellites forming part of NASA's Earth Observing System (EOS). This dataset contains level 2 version 7.00 data of the global distributions of temperature, clouds, aerosols, and 10 trace species O3, H2O, CH4, N2O, NO2, HNO3, N2O5, CFC11, CFC12, and ClONO2 in the stratosphere and upper troposphere at high vertical and horizontal resolution in the Earth's atmosphere between about 8 and 100 km, from the High Resolution Dynamics Limb Sounder (HIRDLS) instrument.

  • The UK's Natural Environment Research Council's (NERC) National Centre for Atmospheric Sciences (NCAS) operates a suite of instrumentation to monitor the atmospheric dynamics and composition of the atmosphere. This dataset brings together all the long term routine observations made by NCAS instruments covering surface based instruments as well as remote sensing instruments such as radars and lidars. Some of the instruments may also be deployed elsewhere on field campaigns, for which the data will be available under the associated field campaign dataset. Links are also available to pages describing the instruments from which links to all data from that particular instrument can be found.

  • The COAPEC (Coupled Ocean-Atmosphere Processes and European Climate) programme was a 5 year NERC thematic programme designed to examine the variability of the Earth's climate. Interactions between the oceans and the atmosphere play a major role in governing this variability. The goal of COAPEC was to determine the impact on climate, especially European climate, of the coupling between the Atlantic Ocean and the atmosphere, including the influence of ENSO on this coupling. To aid researchers within the COAPEC programme, datasets have been retrieved from a variety of coupled models. * 100 years (2079 - 2178) monthly means of all atmospheric and oceanic fields derived from the control run of the Hadley Centre HadCM3 model. * 1000 years (1849-2849) of monthly means of selected parameters from the HadCM3 control run. * 50 years (1950-2000) of MOM (GFDL Modular Ocean Model) data. * Output from the 100 year HadCM3 control integration produced using UM4.5 on the BADC Beowulf Cluster. * Surface flux climatology data from SOC If using the 100 year dataset from the Hadley Centre, please be aware that the run was restarted part of the way through. This means that there is a difference in the indicated date of origin in the data files, and can cause a discontinuity if not corrected for during analysis. The 1000 year HadCM3 dataset has been extracted from the Met Office and these data have been added to the archive. The data from a 500 year HadCM3 control integration performed on a linux Beowulf cluster using UM version 4.5 at the BADC has been included in the archive. Please see the README.txt for more information.