Observation List

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            "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Meteorological Sensor Data, Chilbolton Site",
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                    "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR): surface, radar and lidar measurements (1998-present)",
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                {
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                    "short_code": "coll",
                    "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR): surface, radar and lidar measurements (1998-present)",
                    "abstract": "Data from observations made using  Chilbolton Facility for Atmospheric and Radio Research (CFARR).The Science and Technology Facilities Council (STFC) facility at Chilbolton Observatory, Hampshire (51.1445N, 1.4270W) is the home of many observation systems for meteorological and atmospheric science research. There are 4 radar systems designed to study precipitation, clouds and clear air, of which the largest is the 3 GHz Doppler radar (CAMRa) on the 25 m dish. There are also 4 lidar systems providing data on elastic backscattering, Doppler velocity, water vapour profiles and depolarisation. A wide range of meteorological and multiple raingauge data are available from both Chilbolton and the nearby Sparsholt field site. There is a wide range of radiometers at the site: microwave (for water vapour and liquid water measurements) and downwelling infra-red and visible detectors for radiation budget measurements. This dataset holds attenuation time-series data from vertically polarised 5 km links from South Wonston to Sparsholt. Cloud camera data from the Chilbolton site are available to provide visual information on weather conditions.\r\n\r\nCFARR is funded by the Natural Environment Research Council (NERC) and is owned and operated by the Space Science and Technology Department of the STFC."
                },
                {
                    "ob_id": 7378,
                    "uuid": "ac73aca8c271d8c763eef1040987be62",
                    "short_code": "coll",
                    "title": "Cirrus and Anvils: European Satellite and Airborne Radiation measurements (CAESAR) Project Data from FAAM (Facility for Airborne Atmospheric Measurements) and Chilbolton Observatory",
                    "abstract": "The CAESAR project aimed to investigate the radiative properties of cirrus cloud over a wide range of wavelengths in combination with airborne in situ measurements of cirrus microphysical properties. \r\n\r\nThis dataset collection contains atmospheric measurements of vertical and horizontal distribution of ice crystal size, shape and ice water content and meteorology during summer and winter periods. \r\n\r\nData were obtained by Flights using the FAAM BAE-146 to observe frontal and anvil cirrus co-incident with the CloudSat Aqua-train and Advanced Along-Track Scanning Radiometer (AATSR) satellites over the Chilbolton cloud radars and lidars as well as ocean/sea surrounding the UK. The winter FAAM campaign ran from 14 November 2005 17 December 2005 and the summer FAAM campaign ran from 3-17 May 2006."
                },
                {
                    "ob_id": 12893,
                    "uuid": "5aeeae2bd877479c9617c45c4345ff51",
                    "short_code": "coll",
                    "title": "ALPHASAT: KA/Q band radio propagation measurements collection from European sites using the TDP5 Propagation Beacon",
                    "abstract": "A collection of measurements of radio propagation in the KA/Q band measured from various European sites using the Aldo Paradoni Payload (TDP5) propagation beacon.\r\n\r\nMeasurements were made at 20 and 40 GHz frequencies.\r\n\r\nThe measurements were made as part of the ESA funded ASALASCA (Large Scale Assessment of KA/Q band atmospheric channel using the ALPHASAT TDP5 Propagation beacon) project. \r\n\r\nThe collection is additionally supplemented by surface meteorological measurements from the Chilbolton Observatory, Hampshire, UK for use in conjunction with the radio propagation measurements made at Chilbolton.\r\n\r\nMeasurements began in July 2016 and are presently ongoing."
                },
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                    "ob_id": 28110,
                    "uuid": "001b9640fdb1453aa95a222ba423580e",
                    "short_code": "coll",
                    "title": "Disdrometer Verification Network (DiVeN) data collection: particle diameter and fall velocity measurements from a UK-wide network of disdrometers and supporting measurements from Chilbolton",
                    "abstract": "Starting in February 2017, a network of 14 Thies™ manufactured Laser Precipitation Monitors (LPMs) were installed at various locations around the United Kingdom to create the Disdrometer Verification Network (DiVeN). The instruments were installed for verification of radar hydrometeor classification algorithms but are valuable for much wider use in the scientific and operational meteorological community. See dataset for further details.\r\n\r\nThis collection not only holds the disdrometer data collected for the DiVeN project, but links to supporting observations from the Chilbolton Facility for Radio Research (CFARR) in Hampshire made use of by the project."
                },
                {
                    "ob_id": 29923,
                    "uuid": "400efba73c1d40c78f44918429ce9c99",
                    "short_code": "coll",
                    "title": "PICASSO: data from radiosonde flights, Chilbolton weather radar and in-situ airborne observations by the FAAM BAE-146 aircraft",
                    "abstract": "In-situ airborne observations by the FAAM BAE-146 aircraft, radiosonde launches and the Chilbolton weather radar for the Parameterizing Ice Clouds using Airborne obServationS and triple-frequency dOppler radar data (PICASSO) project.\r\n\r\nThis dataset collection also links to a range of third party datasets that were also utilised by the project participants (Met Office rain radar, surface charts, Meteosat images, surface data from Chilbolton instruments and data from the X-band radar deployed at the site at the same time as the PICASSO observation days)."
                }
            ],
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            "uuid": "f1554ab8cc11e77383a8f3279dbe2d5b",
            "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Multiple Raingauges Data, Sparsholt College Site",
            "abstract": "Data were collected by Chilbolton Facility for Atmospheric and Radio Research (CFARR) Raingauges from 1st of July 2004 to the present at Sparsholt College, Hampshire. The dataset contains measurements of rainfall accumulation as measured by multiple instruments.",
            "creationDate": "2022-07-22T09:15:57.183554",
            "lastUpdatedDate": "2022-07-22T09:15:57.272326",
            "latestDataUpdateTime": "2020-04-27T09:12:23",
            "updateFrequency": "continual",
            "dataLineage": "Data are collected by 4 radar systems, of which the largest is the 3 GHz Doppler radar (CAMRa), and 4 lidar systems, at Chilbolton Observatory, Hampshire.\r\nData are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.",
            "removedDataReason": "",
            "keywords": "CFARR, Chilbolton, raingauge, rainfall",
            "publicationState": "published",
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            "language": "English",
            "resolution": "",
            "status": "ongoing",
            "dataPublishedTime": "2003-09-20T14:19:05",
            "doiPublishedTime": null,
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                "dataPath": "/badc/chilbolton/data/multiple-raingauges_sparsholt",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
                "volume": 406334581,
                "numberOfFiles": 5643,
                "fileFormat": "Data are netCDF formatted."
            },
            "timePeriod": {
                "ob_id": 969,
                "startTime": "2004-06-30T23:00:00",
                "endTime": null
            },
            "resultQuality": {
                "ob_id": 855,
                "explanation": "Data are checked by CFARR staff prior to submission to BADC",
                "passesTest": true,
                "resultTitle": "CEDA Data Quality Statement",
                "date": "2014-09-21"
            },
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                "ob_id": 3488,
                "uuid": "40c8e38404cc43d4b763713df0863632",
                "short_code": "acq",
                "title": "Acquisition Process for: Chilbolton Facility for Atmospheric and Radio Research (CFARR) Multiple Raingauges Data, Sparsholt College Site",
                "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) Multiple Raingauges; PLATFORMS: Sparsholt College, Hampshire, UK; "
            },
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                    "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR)",
                    "abstract": "The STFC facility at Chilbolton, Hampshire (51.1445N, 1.4270W) is the site of several observation systems for meteorological studies. The main system is the 3 GHz Doppler radar (CAMRa). A supporting 94 GHz radar (Galileo) has been located close to the main dish to allow dual frequency studies of precipitating particles. The system is complemented by a 905 nm Vaisala CT75K lidar, a 355nm UV Raman Lidar, multiple raingauge and meteorological sensors. This dataset also holds attenuation time-series data from vertically polarised links from South Wonston to Sparsholt. Sparsholt meteorological sensor and raingauge data is also archived. Cloud camera data from the Chilbolton site is available for examining weather patterns."
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            "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Radiometrics Radiometer from the 23rd of August 2007 to the present at Chilbolton, Hampshire. The dataset contains measurements of the total liquid water at zenith, together with the vertical profile of water vapour density.\r\n\r\nAccuracy of integrated water vapour (IWV) retrieval: ~1 – 2 mm\r\nAccuracy of total liquid water path (LWP) retrieval: ~15% in non-precipitating conditions.",
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            "lastUpdatedDate": "2022-07-22T09:15:57.272326",
            "latestDataUpdateTime": "2020-04-27T09:11:16",
            "updateFrequency": "continual",
            "dataLineage": "Data are collected by 4 radar systems, of which the largest is the 3 GHz Doppler radar (CAMRa), and 4 lidar systems, at Chilbolton Observatory, Hampshire.\r\nData are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.",
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                "startTime": "2007-08-22T23:00:00",
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            "resultQuality": {
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                "explanation": "Data are checked by CFARR staff prior to submission to BADC",
                "passesTest": true,
                "resultTitle": "CEDA Data Quality Statement",
                "date": "2014-09-21"
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            "procedureAcquisition": {
                "ob_id": 3541,
                "uuid": "086be82dbf0046cebf1c19828a752d98",
                "short_code": "acq",
                "title": "Acquisition Process for: Chilbolton Facility for Atmospheric and Radio Research (CFARR) Radiometrics Radiometer Data",
                "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) Radiometrics Radiometer; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK; "
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                    "uuid": "493185a4f967ee2a34516d9c5da9331e",
                    "short_code": "proj",
                    "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR)",
                    "abstract": "The STFC facility at Chilbolton, Hampshire (51.1445N, 1.4270W) is the site of several observation systems for meteorological studies. The main system is the 3 GHz Doppler radar (CAMRa). A supporting 94 GHz radar (Galileo) has been located close to the main dish to allow dual frequency studies of precipitating particles. The system is complemented by a 905 nm Vaisala CT75K lidar, a 355nm UV Raman Lidar, multiple raingauge and meteorological sensors. This dataset also holds attenuation time-series data from vertically polarised links from South Wonston to Sparsholt. Sparsholt meteorological sensor and raingauge data is also archived. Cloud camera data from the Chilbolton site is available for examining weather patterns."
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                {
                    "ob_id": 3461,
                    "uuid": "7cbc3fc19bfa037a48ba4cba4b93544d",
                    "short_code": "coll",
                    "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR): surface, radar and lidar measurements (1998-present)",
                    "abstract": "Data from observations made using  Chilbolton Facility for Atmospheric and Radio Research (CFARR).The Science and Technology Facilities Council (STFC) facility at Chilbolton Observatory, Hampshire (51.1445N, 1.4270W) is the home of many observation systems for meteorological and atmospheric science research. There are 4 radar systems designed to study precipitation, clouds and clear air, of which the largest is the 3 GHz Doppler radar (CAMRa) on the 25 m dish. There are also 4 lidar systems providing data on elastic backscattering, Doppler velocity, water vapour profiles and depolarisation. A wide range of meteorological and multiple raingauge data are available from both Chilbolton and the nearby Sparsholt field site. There is a wide range of radiometers at the site: microwave (for water vapour and liquid water measurements) and downwelling infra-red and visible detectors for radiation budget measurements. This dataset holds attenuation time-series data from vertically polarised 5 km links from South Wonston to Sparsholt. Cloud camera data from the Chilbolton site are available to provide visual information on weather conditions.\r\n\r\nCFARR is funded by the Natural Environment Research Council (NERC) and is owned and operated by the Space Science and Technology Department of the STFC."
                },
                {
                    "ob_id": 4611,
                    "uuid": "44dfa95b7a2768c006b12fbb2f28799c",
                    "short_code": "coll",
                    "title": "Convective Storm Initiation Project (CSIP): surface, remotely sensed and airborne atmospheric measurements collection",
                    "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. These include three sodars, a Doppler Lidar, a wind profiler, an aerosol and ozone lidar, a network of automatic weather stations, mobile radiosonde stations and a Cessna aircraft. This dataset includes measurements of wind speeds and wind directions and aerosol concentrations."
                },
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                    "short_code": "coll",
                    "title": "Cirrus and Anvils: European Satellite and Airborne Radiation measurements (CAESAR) Project Data from FAAM (Facility for Airborne Atmospheric Measurements) and Chilbolton Observatory",
                    "abstract": "The CAESAR project aimed to investigate the radiative properties of cirrus cloud over a wide range of wavelengths in combination with airborne in situ measurements of cirrus microphysical properties. \r\n\r\nThis dataset collection contains atmospheric measurements of vertical and horizontal distribution of ice crystal size, shape and ice water content and meteorology during summer and winter periods. \r\n\r\nData were obtained by Flights using the FAAM BAE-146 to observe frontal and anvil cirrus co-incident with the CloudSat Aqua-train and Advanced Along-Track Scanning Radiometer (AATSR) satellites over the Chilbolton cloud radars and lidars as well as ocean/sea surrounding the UK. The winter FAAM campaign ran from 14 November 2005 17 December 2005 and the summer FAAM campaign ran from 3-17 May 2006."
                },
                {
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                    "uuid": "ea21f06880c345e0bba8862c03fdf54a",
                    "short_code": "coll",
                    "title": "GRACES: Collection of remote sensing and surface observations",
                    "abstract": "Collection of datasets produced by the NERC funded GRACES (G-band RAdar for Cloud and prEcipitation Studies) project and third-party datasets utilised by the project.\r\n\r\nIn addition to 3 GHz and 94 GHz radar data collected specifically for the GRACES project at the Chilbolton Atmospheric Observatory (CAO) the project made use of standard data products from a range of surface instrumentation from the CAO site. These were augmented with the use of data from the Met Office NIMROD rain radar network for specific case studies."
                }
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            "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Vaisala PWD21 Present Weather Detector Data, Sparsholt College Site",
            "abstract": "Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Present Weather Sensor from 28th of January 2005 to the 21st of May 2007 at Sparsholt College, Hampshire. The dataset contains reports of current weather conditions and those over the last hour using both NWS (National Weather Service)and WMO (World Meteorological Organistion) weather codes.",
            "creationDate": "2022-07-22T09:15:57.183554",
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            "updateFrequency": "notPlanned",
            "dataLineage": "Data are collected by 4 radar systems, of which the largest is the 3 GHz Doppler radar (CAMRa), and 4 lidar systems, at Chilbolton Observatory, Hampshire.\r\nData are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.",
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            "keywords": "CFARR, Chilbolton, present weather, meteorology",
            "publicationState": "published",
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            "language": "English",
            "resolution": "",
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                "dataPath": "/badc/chilbolton/data/pwd21_sparsholt",
                "oldDataPath": [],
                "storageLocation": "internal",
                "storageStatus": "online",
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                "numberOfFiles": 656,
                "fileFormat": "Data are netCDF formatted."
            },
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                "startTime": "2005-01-28T00:00:00",
                "endTime": "2007-05-20T23:00:00"
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                    "abstract": "Data from observations made using  Chilbolton Facility for Atmospheric and Radio Research (CFARR).The Science and Technology Facilities Council (STFC) facility at Chilbolton Observatory, Hampshire (51.1445N, 1.4270W) is the home of many observation systems for meteorological and atmospheric science research. There are 4 radar systems designed to study precipitation, clouds and clear air, of which the largest is the 3 GHz Doppler radar (CAMRa) on the 25 m dish. There are also 4 lidar systems providing data on elastic backscattering, Doppler velocity, water vapour profiles and depolarisation. A wide range of meteorological and multiple raingauge data are available from both Chilbolton and the nearby Sparsholt field site. There is a wide range of radiometers at the site: microwave (for water vapour and liquid water measurements) and downwelling infra-red and visible detectors for radiation budget measurements. This dataset holds attenuation time-series data from vertically polarised 5 km links from South Wonston to Sparsholt. Cloud camera data from the Chilbolton site are available to provide visual information on weather conditions.\r\n\r\nCFARR is funded by the Natural Environment Research Council (NERC) and is owned and operated by the Space Science and Technology Department of the STFC."
                },
                {
                    "ob_id": 7378,
                    "uuid": "ac73aca8c271d8c763eef1040987be62",
                    "short_code": "coll",
                    "title": "Cirrus and Anvils: European Satellite and Airborne Radiation measurements (CAESAR) Project Data from FAAM (Facility for Airborne Atmospheric Measurements) and Chilbolton Observatory",
                    "abstract": "The CAESAR project aimed to investigate the radiative properties of cirrus cloud over a wide range of wavelengths in combination with airborne in situ measurements of cirrus microphysical properties. \r\n\r\nThis dataset collection contains atmospheric measurements of vertical and horizontal distribution of ice crystal size, shape and ice water content and meteorology during summer and winter periods. \r\n\r\nData were obtained by Flights using the FAAM BAE-146 to observe frontal and anvil cirrus co-incident with the CloudSat Aqua-train and Advanced Along-Track Scanning Radiometer (AATSR) satellites over the Chilbolton cloud radars and lidars as well as ocean/sea surrounding the UK. The winter FAAM campaign ran from 14 November 2005 17 December 2005 and the summer FAAM campaign ran from 3-17 May 2006."
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            "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR) Campbell Scientific PWS100 present weather sensor data",
            "abstract": "The Campbell Scientific PWS100 present weather sensor deployed at the Chilbolton Observatory, Hampshire, detects and classifies precipitation by observing the scattering of a laser beam 20 degrees off the forward direction in the horizontal and vertical planes. The detected signals depend on the size, shape, optical properties, concentration and velocity of the particles. The instrument is mounted approximately 10m above ground on the roof of a cabin at the Chilbolton Observatory site. It is operated continuously. Data include: counts as a function of size of hydrometeors in 300 bins from 0.1 to 30.0 mm, the number of hydrometeors in 9 type categories. visibility, air temperature, relative humidity, rainfall rate, rainfall accumulation, average hydrometeor velocity, average hydrometeor size and reports the World Meteorological Organisation (WMO) present weather code for the site. Data are archived as netCDF files.",
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                "title": "Acquisition Process for: Chilbolton Facility for Atmospheric and Radio Research (CFARR) Campbell Scientific PWS100 present weather sensor data",
                "abstract": "This acquisition is comprised of the following: INSTRUMENTS: Chilbolton Facility for Atmospheric and Radio Research (CFARR) Campbell Scientific PWS100 present weather sensor; PLATFORMS: Chilbolton Facility for Atmospheric and Radio Research (CFARR), UK; "
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                    "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR)",
                    "abstract": "The STFC facility at Chilbolton, Hampshire (51.1445N, 1.4270W) is the site of several observation systems for meteorological studies. The main system is the 3 GHz Doppler radar (CAMRa). A supporting 94 GHz radar (Galileo) has been located close to the main dish to allow dual frequency studies of precipitating particles. The system is complemented by a 905 nm Vaisala CT75K lidar, a 355nm UV Raman Lidar, multiple raingauge and meteorological sensors. This dataset also holds attenuation time-series data from vertically polarised links from South Wonston to Sparsholt. Sparsholt meteorological sensor and raingauge data is also archived. Cloud camera data from the Chilbolton site is available for examining weather patterns."
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                {
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                    "short_code": "coll",
                    "title": "Chilbolton Facility for Atmospheric and Radio Research (CFARR): surface, radar and lidar measurements (1998-present)",
                    "abstract": "Data from observations made using  Chilbolton Facility for Atmospheric and Radio Research (CFARR).The Science and Technology Facilities Council (STFC) facility at Chilbolton Observatory, Hampshire (51.1445N, 1.4270W) is the home of many observation systems for meteorological and atmospheric science research. There are 4 radar systems designed to study precipitation, clouds and clear air, of which the largest is the 3 GHz Doppler radar (CAMRa) on the 25 m dish. There are also 4 lidar systems providing data on elastic backscattering, Doppler velocity, water vapour profiles and depolarisation. A wide range of meteorological and multiple raingauge data are available from both Chilbolton and the nearby Sparsholt field site. There is a wide range of radiometers at the site: microwave (for water vapour and liquid water measurements) and downwelling infra-red and visible detectors for radiation budget measurements. This dataset holds attenuation time-series data from vertically polarised 5 km links from South Wonston to Sparsholt. Cloud camera data from the Chilbolton site are available to provide visual information on weather conditions.\r\n\r\nCFARR is funded by the Natural Environment Research Council (NERC) and is owned and operated by the Space Science and Technology Department of the STFC."
                },
                {
                    "ob_id": 4611,
                    "uuid": "44dfa95b7a2768c006b12fbb2f28799c",
                    "short_code": "coll",
                    "title": "Convective Storm Initiation Project (CSIP): surface, remotely sensed and airborne atmospheric measurements collection",
                    "abstract": "The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. The project was centred on the 3 GHz (CAMRa) and 1275 clear-air (ACROBAT) radars at Chilbolton and used a number of the new UK Universities' Facility for Atmospheric Measurement (UFAM) mobile instruments. These include three sodars, a Doppler Lidar, a wind profiler, an aerosol and ozone lidar, a network of automatic weather stations, mobile radiosonde stations and a Cessna aircraft. This dataset includes measurements of wind speeds and wind directions and aerosol concentrations."
                },
                {
                    "ob_id": 7378,
                    "uuid": "ac73aca8c271d8c763eef1040987be62",
                    "short_code": "coll",
                    "title": "Cirrus and Anvils: European Satellite and Airborne Radiation measurements (CAESAR) Project Data from FAAM (Facility for Airborne Atmospheric Measurements) and Chilbolton Observatory",
                    "abstract": "The CAESAR project aimed to investigate the radiative properties of cirrus cloud over a wide range of wavelengths in combination with airborne in situ measurements of cirrus microphysical properties. \r\n\r\nThis dataset collection contains atmospheric measurements of vertical and horizontal distribution of ice crystal size, shape and ice water content and meteorology during summer and winter periods. \r\n\r\nData were obtained by Flights using the FAAM BAE-146 to observe frontal and anvil cirrus co-incident with the CloudSat Aqua-train and Advanced Along-Track Scanning Radiometer (AATSR) satellites over the Chilbolton cloud radars and lidars as well as ocean/sea surrounding the UK. The winter FAAM campaign ran from 14 November 2005 17 December 2005 and the summer FAAM campaign ran from 3-17 May 2006."
                },
                {
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                    "short_code": "coll",
                    "title": "ALPHASAT: KA/Q band radio propagation measurements collection from European sites using the TDP5 Propagation Beacon",
                    "abstract": "A collection of measurements of radio propagation in the KA/Q band measured from various European sites using the Aldo Paradoni Payload (TDP5) propagation beacon.\r\n\r\nMeasurements were made at 20 and 40 GHz frequencies.\r\n\r\nThe measurements were made as part of the ESA funded ASALASCA (Large Scale Assessment of KA/Q band atmospheric channel using the ALPHASAT TDP5 Propagation beacon) project. \r\n\r\nThe collection is additionally supplemented by surface meteorological measurements from the Chilbolton Observatory, Hampshire, UK for use in conjunction with the radio propagation measurements made at Chilbolton.\r\n\r\nMeasurements began in July 2016 and are presently ongoing."
                },
                {
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                    "uuid": "001b9640fdb1453aa95a222ba423580e",
                    "short_code": "coll",
                    "title": "Disdrometer Verification Network (DiVeN) data collection: particle diameter and fall velocity measurements from a UK-wide network of disdrometers and supporting measurements from Chilbolton",
                    "abstract": "Starting in February 2017, a network of 14 Thies™ manufactured Laser Precipitation Monitors (LPMs) were installed at various locations around the United Kingdom to create the Disdrometer Verification Network (DiVeN). The instruments were installed for verification of radar hydrometeor classification algorithms but are valuable for much wider use in the scientific and operational meteorological community. See dataset for further details.\r\n\r\nThis collection not only holds the disdrometer data collected for the DiVeN project, but links to supporting observations from the Chilbolton Facility for Radio Research (CFARR) in Hampshire made use of by the project."
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            "abstract": "This dataset consists of data from the Earth Radiation Budget Experiment (ERBE) instrument on the NASA Earth Radiation Budget Satellite (ERBS), launched from the Space Shuttle Challenger in October 1984 (STS-41G). ERBS was placed into an orbit at 603-km altitude, 57-deg. inclination. \r\n\r\nThe ERBE instrument's main aim was to provide accurate measurements of incoming solar energy and shortwave and longwave radiation reflected or emitted from the Earth back into space. \r\n\r\nThis dataset contains colour images (shortwave/longwave/net radiation, albedo, clear-sky albedo, clear-sky shortwave/longwave/net radiation, and shortwave/longwave/net cloud forcing) from the ERBE instrument, a scanning radiometer on ERBS. \r\n\r\nMonthly average values are included for the time periods during which the scanners were operational.\r\n\r\nThis dataset is public, though NASA noted that this is intended for research purposes and the data has no commercial value.",
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            "abstract": "The Quantifying the Amazon Isoprene Budget: Reconciling Top-down versus Bottom-up Emission Estimates project produced a unique high resolution model (GEOS-Chem version v8-03-01 - with modifications) for the Amazon, which simulated isoprene emissions and atmospheric chemistry. Model outputs associated with Barkley et al. publication is available through CEDA-BADC. \r\n\r\nAn evaluation of a nested high-resolution Goddard Earth Observing System (GEOS)-Chem chemistry transport model simulation of tropospheric chemistry over tropical South America is presented. The model has been constrained with two isoprene emission inventories: \r\n\r\n(1) the canopy-scale Model of Emissions of Gases and Aerosols from Nature (MEGAN) and \r\n\r\n(2) a leaf-scale algorithm coupled to the Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS) dynamic vegetation model, and the model has been run using two different chemical mechanisms that contain alternative treatments of isoprene photo-oxidation. \r\n\r\nThe publication is:\r\nBarkley, M. P., P. I. Palmer, L. Ganzeveld , A. Arneth , D. Hagberg , T. Karl , A. Guenther ,\r\nF. Paulot , P. Wennberg , J. Mao , T. Kurosu , K. Chance , J.-F. Muller, I. De Smedt , M. Van Roozendael , D. Chen , Y. Wang , R. Yantosca, Can a 'state of the art' chemistry transport model really simulate\r\nAmazonian tropospheric chemistry?, J. Geophys. Res., 116, D16302, doi:10.1029/2011JD015893, 2011\r\nThis is a NERC funded project.",
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                    "abstract": "The term climate change is now a household phrase and we are used to hearing about rising greenhouse gas levels and global warming. One of the first events that increased the public's awareness of environmental issues was the discovery of the Antarctic ozone hole in the 1980s. Ozone is a gas that comprises only a tiny fraction of all the gases that make up the atmosphere but it is very important in climate. At high altitudes (about 15 to 30 km), there is lots of ozone which is good thing for the planet, as it shields the Sun's harmful UV radiation. However, ozone is a toxic substance and if it builds up within the troposphere (the lowermost part of the atmosphere) and at the surface then this is not good. Tropospheric ozone is bad for us because it is (a) a greenhouse gas, and (b) and air pollutant that affects the human respiratory system and agricultural crop yields. Ozone is produced near the surface when substances known as volatile organic compounds (VOCs) are emitted from the surface and subsequently react within the atmosphere. VOCs can be emitted from human activities, but they are predominantly emitted by vegetation that grows on land. Of all the biogenic VOCs emitted into the atmosphere, none is more important than isoprene owing to its ability to quickly react with other compounds (to produce tropospheric ozone) and because it is emitted in large amounts. Isoprene is also important, as it is a source of very small particles called secondary organic aerosol (SOA) that scatter light, which influences how the Earth warms, and which also have adverse health effects. We need to know (a) when, (b) where and (c) how much isoprene is emitted into the atmosphere in order to better understand tropospheric ozone and SOA. Currently we use generic computer models that are based on observations to simulate the amount of isoprene emitted from different types of vegetation, such as trees or grasses. Isoprene emissions from the Amazon Basin, which contains the world's largest rain forest and is thought to be one of the biggest isoprene sources, are poorly quantified since it is very difficult to measure the emissions in this largely inaccessible and remote region. Satellite observations of a gas called formaldehyde (HCHO), contain information on isoprene emissions, and can be used to determine the amount of isoprene emitted from terrestrial vegetation. The overall goal of my proposal is to use satellite observations of HCHO to accurately quantify isoprene emissions from the Amazon Basin. To achieve this goal I will develop a new unique high resolution model for the Amazon, which will be able to simulate isoprene emissions and atmospheric chemistry at finer spatial scales than have been able previously. I will then compare the isoprene emissions from this 'bottom-up' model with the 'top-down' isoprene emissions inferred from the satellite observations of HCHO, to identify regions or time periods where there is significant disagreement between the model and the observations, which highlights where we have poor understanding of the isoprene emissions. I will then develop an improved isoprene emission model by fine tuning the 'bottom-up' emission model to the inferred 'top-down' emissions, taking into account individual scenes (utilizing the high spatial resolution of the nested-grid) and different seasons. By reconciling the differences between the 'bottom-up' model and the 'top-down' emissions we will gain a more accurate estimate of how much isoprene is emitted from the Amazon, and more importantly gain a better understanding of the factors that influence when it is emitted. This research is important because the Amazon Basin is also one of the regions identified as being most susceptible to climate change, and it is crucial we determine the key factors that influence its isoprene emissions in order to improve confidence in our ability to predict future climate. \r\n\r\nObjectives: \r\n\r\n1) Develop a high resolution, nested-grid chemistry-transport model, centred over the Amazon, which will be driven using two bottom-up isoprene emission models that are based on fundamentally different approaches to simulate isoprene fluxes \r\n\r\n2) Compare the simulated isoprene emissions and oxidation products, from the two bottom-up inventories, against each other and in situ observations to assess which is more accurate \r\n\r\n3) Optimally estimate Amazon isoprene emissions using a Bayesian approach constrained by satellite observations of formaldehyde \r\n\r\n4) Develop emission model parameterizations that will reconcile the spatial and temporal differences between the top-down and bottom-up estimates \r\n\r\n5) Quantify the difference of the bottom-up and top-down isoprene emissions on the Amazonian atmospheric chemistry\r\n\r\nThis project was funded by NERC under grant NE/G013810/1."
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