Get a list of Observation objects.

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            "title": "EASOE: IMK/Kernforschungszentrum Karlsruhe Chemistry vertical column measurements from BOMEM-DA2 ground-based experiment at Sondre Stromfjord, Greenland",
            "abstract": "The European Arctic Stratospheric Ozone Experiment is a European Commission (EC) measurement campaign undertaken in the Northern Hemisphere winter of 1991-92 to study ozone chemistry and dynamics. This dataset contains vertical column measurements of H2O, HDO, N2O, CH4, O3, HF, HCl, ClONO2, HNO3, CFC-11 and CFC-12 from BOMEM-DA2 ground-based experiment.",
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                "title": "Acquisition Process for: Data from Karlsruhe: BONEM-DAZ at Sondre Stromfjord, Greenland for the European Arctic Stratospheric Ozone Experiment (EASOE) Project",
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                    "title": "European Arctic Stratospheric Ozone Experiment (EASOE): Airborne and Ground-Station Measurements of Meteorological Parameters",
                    "abstract": "The European Arctic Stratospheric Ozone Experiment (EASOE) was undertaken in the northern winter of 1991-92 to study the processes in the Arctic which lead to ozone destruction and their connection with reduced ozone at northern mid-latitudes. The data from the campaign has been made available on CD-ROM by the Norwegian Institute for Air Research (NILU). The CDs are held at the BADC.\r\n\r\nThis two CD-ROM set contains measurements made from 16 ground stations throughout Europe, flights made by the three aircraft involved in the campaign, numerous stratospheric balloons launched from Kiruna in northern Sweden and from ozonesondes from 28 European stations. In addition data from the total ozone monitoring network are included.\r\n\r\nThe parameters measured include concentrations of ozone and the members of the chlorine and nitrogen families which are involved in the photochemical destruction of ozone, aerosol and PSC extinctions and meteorological parameters used to study transport into and out of the polar vortex.\r\n\r\nThe EASOE campaign coincided with the NASA AASE-II aircraft campaign and this dataset is also available from the BADC."
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            "title": "EASOE: Univerisity of College Wales Ozone DIAL LIDAR backscatter measurements at Aberystwyth, UK",
            "abstract": "The European Arctic Stratospheric Ozone Experiment is a European Commission (EC) measurement campaign undertaken in the Northern Hemisphere winter of 1991-92 to study ozone chemistry and dynamics. The dataset contains measurements of chemical constituents (concentrations of ozone and the members of the chlorine and nitrogen families) and meteorological parameters from European ground stations and balloon and aircraft flights, and from the ground-based ozone monitoring network. This dataset is public.\r\n\r\nThis dataset was produced using a Nd-YAG laser, 0.6m diameter mirror, two receiver channels - one for parallel and the other for perpendicular polarisation. Photon counting system; raw data collected at 30m resolution (both channels simultaneously). Each individual measurement takes 5 minutes (5000 shots). For the data here, all measurements for an individual evening have been combined. Usually, 2 or 3 consecutive runs were made, but on some evenings (e.g. December 6-9 1991) a large number of profiles were measured. Times of measurements are not given here but can be supplied on request; each was made within 4 hours of 2000 GMT and during hours of darkness. Detailed data for each run are also available on request.\r\n\r\nTo derive backscatter ratios, atmospheric density profiles were derived from ozonesondes launched from Aberystwyth during EASOE. These were corrected for air and ozone absorption. The top of the aerosol layer for each night was determined by inspection of the counts*height squared (Ch2) profile, and the average ratio of Ch2 to corrected density above this height was used to derive the backscatter ratio. \r\n\r\nCorrection for aerosol absorption was made using an extinction/backscatter ratio of 40, assumed constant throughout the layer.\r\n      \r\nFor depolarisation ratio, the ratio of the two receiver channels is shown, corrected for the beamsplitter efficiency. Also, all the data have been normalised so that the lidar depolarisation ratio for air (above the aerosol layer) is 1.4%. (Note: this is different from the preliminary data).\r\n\r\nData are shown above 10 km, except where cirrus was present, when the altitudes contaminated by cirrus have been removed. Below 10 km, the count-rates were too high for the recorded data to be reliable. The upper height reported is that of the top of the aerosol layer.",
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                    "title": "European Arctic Stratospheric Ozone Experiment (EASOE): Airborne and Ground-Station Measurements of Meteorological Parameters",
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            "title": "EASOE: Physikalisches Institut Backscatter measurements from the Rayleigh LIDAR at the Andoya Rocket Range, Norway",
            "abstract": "The European Arctic Stratospheric Ozone Experiment is a European Commission (EC) measurement campaign undertaken in the Northern Hemisphere winter of 1991-92 to study ozone chemistry and dynamics. This dataset contains backscatter ratio measurements.",
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                "abstract": "The Cambridge p-TOMCAT model is a 3D global Eulerian model, driven by meteorological fields (winds, temperatures and humidities) from the operational analyses of the European Centre for Medium-range Weather Forecasts.  For the purposes of this work, it was run at a resolution of ~2.8° x ~2.8° on 31 hybrid sigma-pressure levels.  The levels stretch from the surface to 10hPa with a spacing of approximately 100m in the boundary layer and 1-1.5km in the vicinity of the tropopause.  The model’s chemistry includes 52 species and 174 reactions that together describe the gas-phase HOx/NOx chemistries of methane, ethane, propane and isoprene; isoprene oxidation follows the Mainz Isoprene Mechanism (Pöschl et al., 2000).\r\n\r\nFive experiments are carried out.  The first comprises a PI model run, employing appropriate trace-gas emissions (Valdes et al., 2005); the remaining four comprise highly idealised experiments derived from the PI model run.  In the first two, the annual-mean concentration of methane in the Antarctic boundary layer is reduced from its PI value of ~710 ppbv to ~345 ppbv, roughly the concentration of methane present at the LGM, either by increasing the production of OH by a factor of 2.5 (Sink 1) or by uniformly scaling-down the emissions of methane by a factor of 0.55 (Source 1).  In the remaining two experiments, the concentration of methane is reduced to ~555 ppbv by removing all non-methane emissions from vegetation (Sink 2) or by scaling-down the emissions of methane by a factor of 0.83 (Source 2).\r\n\r\nIn each experiment, the model is run to equilibrium with repeated meteorological fields from a single year (1997).  The model is subsequently run for three consecutive years (1998-2000) to explore inter-annual variations.  It is during these three years that the data contained in this dataset are gathered.  The combination of five experiments and three years of meteorology gives rise to a total of fifteen files, each containing fully 3D monthly-mean chemical fields in addition to some meteorological fields (see below).  They follow the nomenclature, desire_bas_p tomcat_EXPERIMENT_METEOROLOGY.nc, where EXPERIMENT=’pi’, ‘sink1’, ‘source1’,’sink2’ or ‘source2’; and METEOROLOGY=’1998’, ‘1999’ or ‘2000’).\r\n"
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                    "short_code": "proj",
                    "title": "QUEST Theme 2- Dynamics of the Earth System and the Ice-Core Record (DESIRE)",
                    "abstract": "DESIRE (Dynamics of the Earth System and the Ice-Core Record) was part of Theme 2 QUEST (Quantifying and Understanding the Earth System) programme. The project involved an Anglo-French collaboration between QUEST and INSU (Institut national des sciences de l'univers). The project responded to a call to “explain the major changes in atmospheric carbon dioxide and methane concentration over glacial-interglacial timescales”. The project had three strands. In the first strand, tools to improve understanding and modelling of methane were worked on; this included improvements to models, as well as new constraining datasets. In the second strand, similar improvements for CO2 were to be made. The third strand included model simulations and a major data compilation covering the 800,000 year ice core period.\r\n\r\nMuch of the early research in this project used the simple Earth system model GENIE, which generally yields robust results. For example, CO2-forced transient simulations over 650,000 years reproduced Antarctic temperature anomalies with a high correlation, broadly capturing the QUEST Final Report, June 2011 22 magnitude of glacial-interglacial temperature changes. This study found that warm peaks in interglacials are consistent with changes in the meridional overturning circulation. \r\n \r\n"
                }
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                    "ob_id": 1647,
                    "uuid": "bee98504340e9d5fe1de54699bb86f05",
                    "short_code": "coll",
                    "title": "DESIRE (Dynamics of the Earth System and the Ice-Core Record):  Chemical traces, sea conditions and meteorological model measurements",
                    "abstract": "DESIRE (Dynamics of the Earth System and the Ice-Core Record) was part of Theme 2 QUEST (Quantifying and Understanding the Earth System) programme. \r\n\r\nThis dataset collection contains chemical traces, sea conditions and meteorological measurements from the Tropospheric Offline Model of Chemistry and Transport (TOMCAT) model and MITgcm (MIT General Circulation Model). \r\n\r\nThe project involved an Anglo-French collaboration between QUEST and INSU (Institut national des sciences de l'univers). The project responded to a call to “explain the major changes in atmospheric carbon dioxide and methane concentration over glacial-interglacial timescales”. The project had three strands. In the first strand, tools to improve understanding and modelling of methane were worked on; this included improvements to models, as well as new constraining datasets. In the second strand, similar improvements for CO2 were to be made. The third strand included model simulations and a major data compilation covering the 800,000 year ice core period.\r\n\r\nMuch of the early research in this project used the simple Earth system model GENIE, which generally yields robust results. For example, CO2-forced transient simulations over 650,000 years reproduced Antarctic temperature anomalies with a high correlation, broadly capturing the QUEST Final Report, June 2011 22 magnitude of glacial-interglacial temperature changes. This study found that warm peaks in interglacials are consistent with changes in the meridional overturning circulation. "
                }
            ],
            "responsiblepartyinfo_set": [
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            "ob_id": 1653,
            "uuid": "24523f2687904a3414e813b74a7195ab",
            "title": "NERC Microwave Limb Sounder (MLS) Prototype Water Vapour data (1991-1993)",
            "abstract": "The Microwave Limb Sounder (MLS) was a satellite-borne instrument(on UARS satellite) making limb sounding measurements of atmospheric composition at microwave frequencies. \r\n\r\nThe water vapour data was collected by the 183 GHz radiometer which was developed in the UK by Heriot-Watt University and the Rutherford Appleton Laboratory. \r\n\r\nThis data set is a prototype version of the MLS water vapour data developed by Dr Hugh Pumphrey in the Meteorology Department at the University of Edinburgh. This work was funded by the NERC.\r\n\r\nData generally cover wider altitude range than \"official\" MLS version 4 retrievals and are available at a higher vertical resolution. The data coverage extends from 80°S to 80°N, but at any one time this is restricted to 34°S to 80°N or 34°N to 80°S. In the vertical, measurements are usually available between 68hPa and 0.031hPa and may extend down 100hPa and up to 0.0031hPa. The data set covers the time period from UARS day 8 (19th September 1991) to UARS day 580 (13th April 1993). \r\n\r\nIMPORTANT NOTE: V0006 is EXACTLY THE SAME DATA as V0104. \r\n\r\nPlease refer to the \"MLS-H2O-versions-explained\" documentation under \"Docs\" for details.\r\n\r\n",
            "creationDate": "2022-07-22T09:15:57.183554",
            "lastUpdatedDate": "2022-07-22T09:15:57.272326",
            "latestDataUpdateTime": "2008-12-05T20:55:25",
            "updateFrequency": "notPlanned",
            "dataLineage": "Data obtained by the Microwave Limb Sounder (MLS) onboard the Upper Atmosphere Research Satellite (UARS)from 19th September 1991 to 13th April 1993.\r\nLatest data version (v0006) supplied as is by Hugh Pumphrey, University of Edinburgh in 2009 to the BADC for archiving.",
            "removedDataReason": "",
            "keywords": "NERC, MLS, water vapour, Edinburgh",
            "publicationState": "published",
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            "language": "English",
            "resolution": "",
            "status": "completed",
            "dataPublishedTime": "2007-01-18T19:08:48",
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                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 472591188,
                "numberOfFiles": 2112,
                "fileFormat": "The data are provided in IEEE binary files.\r\n"
            },
            "timePeriod": {
                "ob_id": 471,
                "startTime": "1991-09-18T23:00:00",
                "endTime": "1993-04-12T23:00:00"
            },
            "resultQuality": {
                "ob_id": 397,
                "explanation": "Data quality controlled by Hugh Pumphrey.",
                "passesTest": true,
                "resultTitle": "CEDA Data Quality Statement",
                "date": "2012-08-15"
            },
            "validTimePeriod": null,
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                "uuid": "a9956edb4e1245eab4e49357d5ea16e9",
                "short_code": "cmppr",
                "title": "Composite Process for: MLS water vapour measurements onboard UARS (1991-1993)",
                "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: MLS water vapour measurements onboard UARS (1991-1993); \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on Upper Air Research Satellite (UARS); \n"
            },
            "imageDetails": [
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                            {
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                    "ob_id": 1655,
                    "uuid": "41bda41acf140eb5bf8501d1bef09271",
                    "short_code": "proj",
                    "title": "NERC Microwave Limb Sounder (MLS) prototype H2O",
                    "abstract": "Prototype water vapour profiles from the MLS data, retrieved at the University of Edinburgh. Data generally cover wider altitude range than \"official\" MLS version 4 retrievals and are available at a higher vertical resolution. Coverage is from September 1991 to April 1993. This project was funded by NERC."
                }
            ],
            "inspireTheme": [],
            "topicCategory": [],
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                25397
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            "vocabularyKeywords": [],
            "identifier_set": [
                1236,
                8623,
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                {
                    "ob_id": 6689,
                    "uuid": "2e4c98d91a9237c128c0acbf3e11ce7f",
                    "short_code": "coll",
                    "title": "Upper Atmosphere Research Satellite (UARS) Vertical profiles of Atmospheric Components from the Microwave Limb Sounder (MLS L3) Instrument and NERC Microwave Limb Sounder (MLS) Prototype Water Vapour Data",
                    "abstract": "The Microwave Limb Sounder (MLS) is a satellite-borne instrument making limb sounding measurements of atmospheric composition at microwave frequencies. It was built by an instrument team based at the Jet Propulsion Laboratory and launched on the Upper Atmosphere Research Satellite (UARS) on the 12th September 1991. It began collecting data on 19th September 1991. The PI was Joe Waters.\r\n\r\nThe instrument measures thermal emission from the Earth's limb, from which vertical profiles of chlorine monoxide (ClO), ozone (O3), water vapour (H2O) sulphur dioxide (SO2) and atmospheric temperature are derived. HNO3 profiles are also available for some periods in the Version 4 data.\r\n\r\nThe data coverage extends from 80°S to 80°N, but at any one time this is restricted to 34°S to 80°N or 34°N to 80°S. In the vertical, measurements are made between approximately 10 and 60 km, from October 1991 to June 1997.\r\n\r\nAlso available as part of this archive are the prototype water vapour profiles from the Microwave Limb Sounder (MLS) data, retrieved at the University of Edinburgh (NERC funded project). Data generally cover wider altitude range than \"official\" MLS version 4 retrievals and are available at a higher vertical resolution. Coverage is from September 1991 to April 1993."
                }
            ],
            "responsiblepartyinfo_set": [
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                5100,
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        {
            "ob_id": 1669,
            "uuid": "94649e4a337ad6c83ee82683cfadf15c",
            "title": "International Satellite Cloud Climatology Project D1 (ISCCP-D1) Dataset: Radiometer data from the NOAA, GOES, METEOSAT, GMS and INSAT satellites from 1983-1999",
            "abstract": "Global three-hourly cloud products as produced for the International Satellite Cloud Climatology Project (ISCCP) at the Goddard Institute for Space Studies in New York. The data on are the ISCCP Stage D1 data (ISCCP-D1), at 280 km spatial resolution. There are 202 variables contained within the dataset, which is at three-hourly temporal resolution.\r\n\r\nThe data available at the time of publication begin in July 1983 and extend through to 1999, though a fuller version of the dataset is available directly from the NASA Atmospheric Data Center (ASDC).\r\n\r\nThis dataset contains data from a number of radiometers deployed on NOAA, GOES (Geostationary Operational Environmental Satellite), METEOSAT, GMS and INSAT satellites operational during this period. This dataset is public.\r\n\r\nThe data periods for the various satellite instruments used within this generation of this dataset are given below:\r\n\r\nAdvanced Very High Resolution Radiometer (AVHRR) versions 1,2 and 3:\r\n - AVHRR on NOAA-7: 01/07/1983 to 31/01/1985\r\n - AVHRR on NOAA-8: 01/10/1983 to 24/06/1984\r\n - AVHRR on NOAA-9: 01/02/1985 to 08/11/1988\r\n - AVHRR on NOAA-10: 17/11/1986 to 30/08/1991\r\n - AVHRR on NOAA-11: 30/06/1997 to 18/10/1998\r\n - AVHRR/2 on NOAA-12: 01/09/1991 to 31/12/1998\r\n - AVHRR/2 on NOAA-14: 01/02/1995 to 30/09/2001\r\n - AVHRR/3 on NOAA-15: 01/01/1999 to 31/07/2000\r\n - AVHRR/3 on NOAA-16: 01/10/2001 to 30/06/2005\r\n - AVHRR/3 on NOAA-17: 01/07/2002 to 30/06/2005\r\nVery High Resolution Radiometer (VHRR):\r\n - VHRR data on INSAT-1 series (INSAT-1A to 1D): 01/04/1988 to 31/03/1989\r\nGOES-Imager:\r\n - GOES-Imager data on GOES-10: 01/08/1998 to 30/06/2005\r\n - GOES-Imager data on GOES-12: 01/04/2003 to 30/06/2005\r\nMultispectral Imaging Radiometer (MIR):\r\n - MIR data on METEOSAT-2: 01/07/1983 to 11/08/1988\r\n - MIR data on METEOSAT-3: 11/08/1988 to 25/01/1991\r\n - MIR data on METEOSAT-4 : 19/06/1989 to 30/06/1991\r\nMETEOSAT Visible and IR Imager (MVIRI):\r\n - MVIRI data on METEOSAT-5: 01/02/1994 to 30/06/2005\r\n - MVIRI data on METEOSAT-6: 01/03/1997 to 31/05/1998\r\nVisible and Infrared Spin-Scan Radiometer (VISSR) data:\r\n - VISSR data on GMS-1: 21/01/1984 to 30/06/1984\r\n - VISSR data on GMS-2: 01/07/1983 to 27/091984\r\n - VISSR data on GMS-3: 27/09/1984 to 04/12/1989\r\n - VISSR data on GMS-4: 04/12/1989 to 30/06/1991\r\n - VISSR data on GMS-5: 01/06/1995 to 30/04/2003\r\n - VISSR data on GOES-5: 01/07/1983 to 30/07/1984\r\n - VISSR data on GOES-6: 01/07/1983 to 21/01/1989\r\n - VISSR data on GOES-7: 26/04/1987 to 30/06/1991\r\n - VISSR data on GOES-8: 01/05/1995 to 31/03/2003\r\n - VISSR data on GOES-9: 01/01/1996 to 30/06/2005\r\n\r\nFor further information about the satellites and their instruments please see the linked documentation pages.",
            "creationDate": "2022-07-22T09:15:57.183554",
            "lastUpdatedDate": "2022-07-22T09:15:57",
            "latestDataUpdateTime": "2024-03-09T03:05:00",
            "updateFrequency": "notPlanned",
            "dataLineage": "Data obtained during the period from 1983 to 1999  by the various satellite operators. Data acquired from the Langley Atmospheric Sciences Data Center (ASDC) in 2002 and archived at the BADC as-is. A fuller dataset is available directly from ASDC.",
            "removedDataReason": "",
            "keywords": "ISSCP, radiometer, cloud, NOAA, GOES, INSAT, METEOSAT, GMS",
            "publicationState": "published",
            "nonGeographicFlag": false,
            "dontHarvestFromProjects": false,
            "language": "English",
            "resolution": "",
            "status": "completed",
            "dataPublishedTime": "2007-02-13T23:55:58",
            "doiPublishedTime": null,
            "removedDataTime": null,
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                "northBoundLatitude": 90.0
            },
            "verticalExtent": null,
            "result_field": {
                "ob_id": 1670,
                "dataPath": "/badc/isccp_d1/data",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 67729537256,
                "numberOfFiles": 6033,
                "fileFormat": "<div property=\"cedacat:formats\">\n<div class=\"formats\">Access to data, documentation and software</div>\n\n<p>\nThe archive is divided in three major directories:\n</p><ul>\n<li>The <a href=\"http://badc.nerc.ac.uk/data/isccp_d1/datadir.html\">DATA directory</a> contains the data.\n</li><li>The <a href=\"http://badc.nerc.ac.uk/data/isccp_d1/docdir.html\">DOCUMENT directory</a> contains the documentation.\n</li><li>The <a href=\"http://badc.nerc.ac.uk/data/isccp_d1/softwaredir.html\">SOFTWARE directory </a> contains the source\n    code and a compiled version of the read software.\n</li></ul>\n\nREADME files in each directory offer more information about their contents.\n\nThe data files (e.g. d1_19830701) are  available in HDF 4 format\nas described in the <a href=\"http://badc.nerc.ac.uk/data/isccp_d1/datadir.html\">Data Directory Documentation</a>.\n<p>The HDF libraries, source code and documentation can be obtained free\nof charge from the  <a href=\"http://www.hdfgroup.org\">HDF Group</a> .\n<br />NCSA also provides a variety of tools to assist in viewing, analyzing,\nand displaying HDF formatted data files.\n</p><p>Additional data, related to ISCCP, may also be transferred directly\nfrom GISS using the <a href=\"http://isccp.giss.nasa.gov/how2ftp.html\" target=\"_top\">anonymous\nFTP</a> site.\n</p></div>\n\n"
            },
            "timePeriod": {
                "ob_id": 473,
                "startTime": "1983-01-01T00:00:00",
                "endTime": "1999-12-31T23:59:59"
            },
            "resultQuality": {
                "ob_id": 399,
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                "resultTitle": "CEDA Data Quality Statement",
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                "ob_id": 1675,
                "uuid": "913ae3e99cbd4877a8431a27f6f788bb",
                "short_code": "cmppr",
                "title": "Composite Process for: AVHRR data on NOAA-8 for 1983-1984",
                "abstract": "This process is comprised of multiple procedures: 1. Acquisition: Acquisition Process for: AVHRR data on NOAA-8 for 1983-1984; \n2. Computation: DETAILS NEEDED - COMPUTATION CREATED FOR SATELLITE COMPOSITE. deployed on NOAA-8; \n"
            },
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                    "uuid": "e49b7b77ed1c1211f04d9e2e64fd4318",
                    "short_code": "proj",
                    "title": "International Satellite Cloud Climatology Project (ISCCP)",
                    "abstract": "The International Satellite Cloud Climatology Project collected data from a suite of weather satellites operated by several nations. The resulting datasets and analysis products are being used to improve understanding and modelling of the role of clouds in climate, with primary focus being the elucidation of the effects of clouds on the radiation balance. BADC has some data and data are available from the Goddard Institute for Space Studies. The data are public."
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                    "abstract": "The Atmospheric Chemistry Studies in the Oceanic Environment (ACSOE) was a 5-year Natural Environment Research Council (NERC) programme on tropospheric chemistry coordinated by the University of East Anglia and involving research groups from a number of UK universities and research institutes. The project had three consortia of UK institutes and universities, each of which focused on a different scientific topic. The Aerosol Characterisation Experiment (ACE) aim was to determine and understand the properties and controlling factors of aerosol in the anthropogenically modified atmosphere of the North Atlantic, and to assess their relevance to radiative forcing. The data was collected as part of the HILLCLOUD-96 and 98 experiments, where a hill cap cloud which forms over a ridge on the north east of the island of Tenerife was used as a natural flow through reactor. The dataset contains the size distribution, size dependent chemical composition and hygroscopic properties of the marine and modified continental aerosol arriving at the North coast of the island."
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            "abstract": "Numerical climate output from the ALL experiment run of the HadCM3 climate model as part of the NERC funded Euroclim500 project: Causes of change in European mean and extreme climate over the past 500 years. These data were produced by Andrew Schurer, Mike Mineter and Simon Tett using the HadCM3 climate model on the HECTOR supercomputer at the University of Edinburgh. This dataset includes data from 4 ensembles, r1 to r4. r1 spans 800 to 2000 while ensembles r2 to r4 span 1400 to 2000. All ensembles were run utilising all the available forcings in operation: Solar, Volcs, GHGs, LUSE, AER (fixed at 1820), O3 and Orb. The data are available in CF-netCDF to all registered users under the UK Government Open Data License.",
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                "title": "Hadley Centre Coupled Model 3 (HadCM3) deployed on HECToR (High-End Computing Terascale Resource) Supercomputer",
                "abstract": "This computation involved: Hadley Centre Coupled Model 3 (HadCM3) deployed on HECToR (High-End Computing Terascale Resource) Supercomputer.  \"HadCM3\" (the Hadley Centre Coupled Model, version 3) is a coupled atmosphere-ocean general circulation model (AOGCM) developed at the Hadley Centre in the United Kingdom. It was one of the major models used in the IPCC Third Assessment Report in 2001.\r\n\r\nUnlike earlier AOGCMs at the Hadley Centre and elsewhere (including its predecessor HadCM2), HadCM3 does not need flux adjustment (additional \"artificial\" heat and freshwater fluxes at the ocean surface) to produce an almost unbiased simulation: HadCM3 has been run for over a thousand years, showing little drift in its surface climate.\r\n\r\nHadCM3 is composed of two components: the atmospheric model HadAM3 and the ocean model (which includes a sea ice model). Simulations often use a 360-day calendar, where each month is 30 days.\r\n\r\nIntroduction&lt\r\n\r\nThe horizontal and vertical representation, resolution and other important characteristics are in this model as follows (2006):\r\n\r\nA. Atmosphere \r\n\r\n 1. resolution: T63, L18\r\n\r\n 2. numerical scheme/grid: \r\n\r\n   - Grid - Spectral for Temperature, Vorticity, Divergence, Surface Pressure\r\n \r\n   - Model top -  Top level at 4.5 hPa.\r\n\r\n   - Vertical coordinate - hybrid sigma-pressure. \r\n\r\n   - Number of layers above 200 hPa - 5\r\n\r\n   - Number of layers below 850 hPa - 4\r\n\r\n 3. list of prognostic variables :\r\n   -  Temperature, Vorticity, Divergence, Surface Pressure, Atmospheric moisture (vapour, liquid, and ice) \r\n\r\n 4. Major parameterizations.\r\n\r\n   a. clouds\r\n     Stratiform cloud scheme (liquid, ice) following Rotstayn (1997, 1998) and  Rotstayn et al. (2000). The convection scheme (see below) also produces a convective cloud fraction.\r\n\r\n   b. convection\r\n\r\n\t UKMO: Gregory and Rowntree (1990) \r\n\r\n\r\n   c. boundary layer\r\n\r\n\t Follows Louis (1979) with Smith (1990) enhancements.\r\n\r\n   d. SW, LW radiation\r\n\r\n\t GFDL based (SW: Lacis and Hansen 1974; LW: Fels and Schwarzkopf 1975, 1981; Fels 1985; Schwarzkopf and Fels 1991).\r\n\r\n   e. any special handling of wind and temperature at top of model\r\n\r\n     Temperature at top of model for radiation code by simple extrapolation (using vertical coordinate) from top 2 levels.\r\n\r\nB. Ocean\r\n\r\n\r\n 1. resolution\r\n\r\n    - Horizontal: Matching the T63 atmospheric model, but twice the meridional resolution ~1.875 degrees EW by approximately 0.84 degrees NS.\r\n\r\n    - Vertical: 31 levels, spacing increasing with depth, from 10 m at the surface to 400 m in the deep ocean.\r\n\r\n\r\n 2. numerical scheme/grid\r\n    MOM2.2 (Pacanowski 1996) model code using Arakawa B grid, leapfrog time stepping. The \"quicker\" scheme is used for tracer advection, see Leonard (1979) and Pacanowski (1996). Vertical coordinate is layers of prescribed depth (rigid lid). Freshwater flux at surface derived from P-E, river runoff, and ice brine rejection terms, then converted to a virtual salt flux.\r\n\r\n\r\n 3. list of prognostic variables and tracers\r\n\tVelocities U and V, Temperature and Salinity.\r\n\r\n 4. Prameterizations.  \r\n\r\n\ta. eddy parameterization\r\n\t\tAdiabatic eddy-induced transport via the Griffies (1998) implementation of the Gent and McWilliams (1990) scheme.\r\n\t\tVertical mixing of tracers via a modified form of Bryan and Lewis (1979) profile. For tropical regions (15 degreesS to 15 degreesN), the profile is modified to have values decreasing to near zero at the surface.\r\n\r\n\tb. bottom boundary layer treatment and/or sill overflow treatment\r\n\t\tNone.\r\n\r\n\tc. mixed-layer treatment\r\n\t\tInteger Power vertical mixing scheme (Wilson 2000, 2002), based on the Pacanowski and Philander (1981) scheme.\r\n\r\n\td. sunlight penetration\r\n\t\tPaulson and Simpson (1977) dual exponential formulation, using turbidity specified in terms of Jerlov (1976) water types (spatially varying, time invariant). \r\n\r\n\te. tidal mixing\r\n\t\tNone\r\n\r\n\tf. river mouth mixing\r\n\t\tNone.\r\n\r\n\tg. mixing isolated seas with the ocean\r\n\t\tAchieved by lateral mixing (at same latitude) to nearest world ocean grid point at a prescribed rate (e.g. Hudson Bay, Mediterranean).\r\n\r\n\th. treatment of North Pole \"singularity\" \r\n\t\tArtificial island with Fourier filtering for latitudes close to North Pole.\r\n\r\nC. sea ice \r\n\r\n 1. horizontal resolution, number of layers, number of thickness categories\r\n\tCoded as part of the atmospheric model, with the same resolution - equivalent T63 (1.875 degrees EW by approximately 1.875 degrees NS). 1 or 2 ice layers depending upon ice depth. Snow on ice treated as an additional layer. Deep snow to white ice treatment.\r\n\r\n 2.numerical scheme/grid\r\n\t- Arakawa B-grid (T points match spectral AGCM grid points), NCAR based advection scheme in terms of divergence field (Brieglib). Leapfrog timestepping.\r\n\r\n 3.list of prognostic variables\r\n\tIce depth; Ice temperature(s) (1 or 2 layers); Snow depth; Snow temperature(1 layer); Brine heat reservoir; Leads fraction; Temperature of mixed layer in leads and under ice.\r\n\r\n\r\n 4. completeness\r\n\tThermodynamics  - Semtner (1976)  3 layer thermodynamics\r\n\r\n\tRheology  - Flato and Hibler (1990), O'Farrell (1998)\r\n\r\n\tLeads  - Computed fraction, with lateral ice growth/melting\r\n\r\n\tSnow on ice - Has internal layer temperature, surface temperature, ice-snow interface temperature.\r\n\r\n 5. treatment of salinity in ice\r\n\r\n\tIce salinity set at 0.01\r\n\r\n 6. brine rejection treatment\r\n\r\n\tIce formation/melting gives brine rejection/uptake (relative to 0.035 reference).\r\n\r\n 7. treatment of the North Pole \"singularity\"\r\n\r\n\tArtificial island at North Pole. Ice motion filtered towards slab rotation near pole.\r\n\r\nD. Land / ice sheets\r\n\r\n\tMOSES II land surface scheme see Cox et al., 1999 and Essery et al., 2003, given in the Johns et al. 2006 reference. Same resolution as atmospheric model.\r\n\r\n\tresolution \r\n\r\n\tFor details of land/vegetation scheme see technical report (Gordon et al, 2002).\r\n\tThe Land model has T63 resolution, and 6 soil layers (temperature and water/ice).\r\n\tThere are 9 soil types and 13 vegetation types (one soil type and one vegetation type per grid point). No tiling, except each land point has prescribed amount of vegetation and bare ground. Separate flux calculations for each. \r\n\r\n\t1. treatment of frozen soil and permafrost\r\n\r\n\t\tWater in soil is allowed to freeze.\r\n\r\n\t2. treatment of surface runoff and river routing scheme\r\n\t\tSurface runoff taken instantly to oceans by downslope method.\r\n\r\n\t3. treatment of snow cover on land\r\n\t\tS now on land has 3 layers (temperatures, snow densities), total snow mass, age dependent albedo.\r\n\r\n\t4. description of water storage model and drainage\r\n\r\n\t\tEach grid point has an assosciated field capacity. Drainage from lowest soil level if moisture exceeds field capacity.\r\n\r\n\t5. surface albedo scheme\r\n\t\tLand surface albedo taken from Sib data set (varying monthly). Snow albedo changes according to snow age and zenith angle.\r\n\r\n\t6. vegetation treatment\r\n\t\tCanopy: big-leaf model\r\n\r\n\t7. list of prognostic variables\r\n\r\n\t\t- Surface temperature;\r\n\t\t-6 levels of soil temperature and water amount;\r\n\t\t-If land is frozen, then ice amount per 6 levels;\r\n\t\t- Moisture amount on vegetation canopy;\r\n\t\t- Puddle depth on land;\r\n\t\t- If snow on land:\r\n\t\t- 3 snow layer temperatures,\r\n\t\t- 3 snow densities,\r\n\t\t- Total snow mass,\r\n\t\t- Snow age.\r\n\t\r\n\t8. ice sheet characteristics \r\n\r\n\t\tsheets not included.\r\n\r\nE. coupling details\r\n\r\n\t1. frequency of coupling\r\n\t\tEvery timestep (15 minutes)\r\n\r\n\t2. Are heat and water conserved by coupling scheme?\r\n\t\tYes.\r\n\t3. list of variables passed between components:\r\n\t\r\n\r\n\t\r\n\t\tThe CSIRO Mk3 coupled model consists of 2 major components:\r\n\t\t\t(a) The AGCM + Land + Ice model (the \"atmosphere\" below)\r\n\t\t\t(b) The Ocean model\r\n\t\t\t\ta. atmosphere – ocean  \r\n\t\t\t\t\t- Heat flux\r\n\t\t\t\t\t- Water flux\r\n\t\t\t\t\t- Solar flux into ocean\t\t\t- Surface stresses.\r\n\r\n\t\t\t\tb. ocean - atmosphere\r\n\t\t\t\t\t- Sea surface temperature\r\n\t\t\t\t\t- Ocean surface velocities u,v (for driving ice model within AGCM)\r\n\r\n\t4. Flux adjustment? \r\n\t\tNone\r\n\r\n\r\n The HECToR (High-End Computing Terascale Resource) supercomputer, located at the University of Edinburgh, Cray XE6 system consisted of (by HECToR phase 3) 30 cabinets with a total of 704 compute blades. 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            "abstract": "Numerical climate output from the SOLAR experiment run of the HadCM3 climate model as part of the NERC funded Euroclim500 project: Causes of change in European mean and extreme climate over the past 500 years. These data were produced by Andrew Schurer, Mike Mineter and Simon Tett using the HadCM3 climate model on the HECTOR supercomputer at the University of Edinburgh. This dataset includes data from 4 ensembles, r1 to r4. All ensembles ran with the following constant forcing set (bracketed dates indicate the year or range of constant forcing): Solar, GHGs (1400), LUSE (1400), O3 (pre-industrial) and Orb (1400). The data are available in CF-netCDF to all registered users under the UK Government Open Data License.",
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