Observation List

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                    "abstract": "This project was funded by the Natural Environment Research Council (NERC) with the grant reference - NE/J010316/1 - led by Professor Jonathan Tennyson (University College London).  \r\n\r\nAll CO2 remote sensing activity, from both the ground and space, relies on monitoring how CO2 absorbs light. All this monitoring is therefore heavily dependent on understanding the absorption properties of the CO2 molecule which is usually obtained by measurements performed in the laboratory. In particular the accurate knowledge of the strength of individual absorption lines is crucial to determining how much CO2 is present and allowing the atmospheric data to be interpreted. Without high accuracy values for line intensities, reliable CO2 retrievals are simply not possible. Particularly with their emphasis on variation of CO2 concentrations with time, current missions and proposed missions require CO2 line intensities to be determined to significantly better than 1% accuracy if they are to fulfill their stated goals: intensities accurate to better than 0.5% are really required. Current line intensities measured in the laboratory simply do not gives this level of accuracy: most are accurate to about 5% with a few high quality measurements being good to 1 - 3%. Hence current CO2 retrievals values are limited by the available laboratory data. \r\n\r\nThe aim of this project was to provide an accurate theoretical solution to the problem of CO2 line intensities based on the application of high accuracy, first principles quantum mechanical calculations for the intensities and experimental data for the line positions. The resulting new lists of CO2 transition intensities were made widely available and, in particular, used to inform atmospheric databases which are used for the majority of atmospheric applications of molecular spectroscopy.\r\n\r\nThe main objectives of the project were to determine a complete set of high accuracy line intensities for the CO2 molecule for use in atmospheric studies. With the following specific objectives:\r\n\r\n1. Develop a theoretical model to compute a high accuracy dipole moments for asymmetric geometries of CO2.\r\n\r\n2. Compute dipole moments as a function of geometry and fit them to give a high accuracy dipole moment surface.\r\n\r\n3. Develop a model for and calculate high accuracy vibration-rotation wavefunctions and hence transition intensities\r\nfor CO2.\r\n\r\n4. Compare our results with laboratory data, particularly ultrahigh accuracy studies currently being performed in NIST.\r\n\r\n5. Generate a comprehensive linelist of CO2 transitions.\r\n\r\n6. Distribute our CO2 linelist widely via the web and via data compilations such as HITRAN, GEISA and BADC."
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            "title": "CRU CY 4.02: Climatic Research Unit (CRU) year-by-year variation of selected climate variables by country (CY) version 4.02 (Jan. 1901 - Dec. 2017)",
            "abstract": "The Climatic Research Unit (CRU) Country (CY) data version 4.02 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. This version uses the updated set of country definitions, please see the appropriate Release Notes.\r\n\r\nThis dataset was produced in 2018 by CRU at the University of East Anglia and extends the CRU CY4.01 data to include 2017. CRU CY4.02 is a full release, differing only in methodology from the existing current version 3 release, v3.26. Both are released concurrently to support comparative evaluations between these two versions, however, this will be the last release of version 3. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY4.02 is derived directly from the CRU TS4.02 dataset. CRU CY version 4.02 spans the period 1901-2017 for 289 countries.\r\n\r\nTo understand the CRU CY4.02 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS4.02. It is therefore recommended that all users read the Harris et al, 2020 paper and the CRU TS4.02 release notes listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users.",
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            "title": "HadUK-Grid Gridded Climate Observations on a 1km grid over the UK, v1.0.0.0 (1862-2017)",
            "abstract": "HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data sets cover the UK at 1km x 1km resolution. These 1km x 1km data have been used to provide a range of other resolutions  and across countries, administrative regions and river basins to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost.\r\n\r\nThis data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation).\r\n\r\nThe primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\". The dataset is provided under Open Government Licence.",
            "creationDate": "2022-07-22T09:15:57.183554",
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                "title": "HadUK-Grid gridded climate observations methodology",
                "abstract": "The gridded data sets are based on the archive of UK weather observations held at the Met Office. The density of the station network used varies through time, and for different climate variables - for example, for the temperature variables the number of stations rises from about 270 in 1910s to 600 in the mid-1990s, before falling to 450 in 2006. Regression and interpolation are used to generate values on a regular grid from the irregular station network, taking into account factors such as latitude and longitude, altitude and terrain shape, coastal influence, and urban land use. This alleviates the impact of station openings and closures on homogeneity, but the impacts of a changing station network cannot be removed entirely, especially in areas of complex topography or sparse station coverage.\r\n\r\nThe methods used to generate the grids are described in more detail in a paper published by Hollis et al. (2019) https://doi.org/10.1002/gdj3.78 (see linked documentation on this record).\r\n\r\nTo help users combine the observational data sets with the UKCP18 climate projections, the 1km x 1km grid is averaged to grids at resolutions to match those of the climate projections. Each 5 x 5 km, 12 x 12 km, 25 x 25 km or 60 x 60 km grid box value is an average of the all the 1 × 1 km grid cell values that fall within it. A set of regional values for UK administrative regions, river basins and countries are calculated as the average of all 1 × 1 km grid cell values that fall within the defined geography."
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                    "short_code": "coll",
                    "title": "HadUK-Grid gridded and regional average climate observations for the UK",
                    "abstract": "This Dataset Collection contains a number of different versions of the HadUK-Grid dataset, each of which present a set of gridded climate variables extending from the present back to the 19th Century. The primary purpose of these data are to facilitate monitoring of the UK climate and research into climate variability, climate change, impacts and adaptation. The Met Office uses these data for operational monitoring of the UK's climate.\r\n\r\nThe data have been interpolated from meteorological station data onto a uniform grid at 1km by 1km resolution to provide complete and consistent coverage across the UK. The 1km data set has been regridded to different resolutions and regional averages to create a collection allowing for comparison to data from UKCP18 climate projections.\r\n\r\nA new version of HadUK-Grid is released each year. The latest version is v1.3.1.ceda, released in June 2025 and containing data up to the end of 2024. A summary of previous releases can be found below. Provisional data for more recent months can be found on the Met Office web site https://www.metoffice.gov.uk/hadobs/hadukgrid/.\r\n\r\nEach version comprises eight Datasets - gridded data at 1, 5, 12, 25 and 60 km resolution, plus three sets of area averages (UK countries, admin regions and river basins).\r\n\r\nThe earliest year of data varies by variable and has changed as more data are digitised. Currently the start years are:\r\n1836 (monthly rainfall)\r\n1884 (monthly max/mean/min air temperature)\r\n1891 (daily rainfall)\r\n1910 (monthly sunshine)\r\n1931 (daily max/min air temperature)\r\n1961 (monthly days of ground frost, relative humidity, mean sea level pressure and vapour pressure)\r\n1969 (monthly mean wind speed)\r\n1971 (monthly days of lying snow)\r\n\r\nThe grids are provided at daily (max/min air temperature and rainfall only), monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods.\r\n\r\nThe latest release has been created by the Met Office funded by the UK Department for Science, Innovation and Technology (DSIT).\r\n\r\nPrevious versions were created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project.\r\n\r\nFor all versions, the data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\".\r\n\r\nThe data are provided under Open Government Licence v3 (see each dataset for links to licence and associated citations to use).\r\n\r\nList of dataset versions (latest first) and key differences (each release also extends the dataset by one year):\r\n\r\nv1.3.1.ceda (1836-2024) - Daily temperature extended back to 1931 (from 1960). Historical data recovery has improved daily rainfall over Scotland for 1922-1945.\r\nv1.3.0.ceda (1836-2023) - Historical data recovery has improved daily rainfall over Scotland for 1945-1960.\r\nv1.2.0.ceda (1836-2022) - Monthly sunshine extended back to 1910 (from 1919). Incorporation of Rainfall Rescue v2.\r\nv1.1.0.0 (1836-2021) - Addition of climate averages for 1991-2020. Rainfall Rescue v1 dataset incorporated into the monthly rainfall grids which are extended back to 1836 (from 1862).\r\nv1.0.3.0 (1862-2020)\r\nv1.0.2.1 (1862-2019) - Monthly sunshine extended back to 1919 (from 1929). Historical data recovery has also improved monthly rainfall 1862-1910, daily rainfall 1891-1910 and monthly temperature 1900-1909. Correction to the grid definition for 12 km grid product to match the UKCP18 climate model products.\r\nv1.0.1.0 (1862-2018) - Addition of 5km data.\r\nv1.0.0.0 (1862-2017) - Initial release.\r\n\r\nSee the change log file for each version for further details.\r\n\r\nNote: The introduction of the '.ceda' suffix was done to highlight that CEDA is the source of these data files compared to other potential sources (e.g. the UKCP User Interface https://ukclimateprojections-ui.metoffice.gov.uk/ui/home) The data values are the same - it is the way the data are packaged that may differ between sources.\r\n\r\nEach version following the initial release is accompanied by change log files. These list new files in the version compared with the previous version plus summary totals of the number of files that remained the same, modified and removed. Links to these change logs are available in the 'Details/Docs' section of each dataset. Additionally, a summary change log file is provided which gives an overview of all changes to the data sources and processing methods since the initial release. This summary can be found in the 'Details/Docs' section below or via the individual datasets.\r\n\r\nThis collection supersedes the UKCP09 Dataset Collection and contains all datasets within the major version 1 release (i.e. v1.#.#.#). See Hollis et al. (2019; linked documentation) for details on the version numbering utilised."
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            "title": "CRU TS3.26: Climatic Research Unit (CRU) Time-Series (TS) Version 3.26 of High-Resolution Gridded Data of Month-by-month Variation in Climate (Jan. 1901- Dec. 2017)",
            "abstract": "The gridded CRU TS (time-series) 3.26 data are month-by-month variations in climate over the period 1901-2017, on high-resolution (0.5x0.5 degree) grids, produced by the Climatic Research Unit (CRU) at the University of East Anglia.\r\n\r\nThis version of CRU TS supersedes version 3.25, additionally however these data are superseded by the CRU TS 4.02 data which has a new processing methodology. This concurrent release of CRU TS 3.26 and CRU TS 4.02 is made to support users during the transition to the CRU TS version 4 data. No further releases of version 3 are planned.\r\n\r\nCRU TS 3.26 variables are cloud cover, diurnal temperature range, frost day frequency, PET, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, and vapour pressure for the period Jan. 1901 - Dec. 2017.\r\n\r\nCRU TS 3.26 data were produced using the same methodology as for the 3.21, 3.22, 3.23, 3.24.01, 3.26 datasets. This version contains updates the dataset with 2016 data, some new stations have been added for TMP and PRE only. This release is the latest release of the CRU TS data.  Known issues predating this release remain.\r\n\r\nThe CRU TS 3.26 data are monthly gridded fields based on monthly observational data, which are calculated from daily or sub-daily data by National Meteorological Services and other external agents. The ASCII and NetCDF data files both contain monthly mean values for the various parameters.\r\n\r\nAll CRU TS output files are actual values - NOT anomalies.",
            "creationDate": "2022-07-22T09:15:57.183554",
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            "dataLineage": "CRU TS 3.00 data files acquired directly from CRU in 2007. CRU provided the BADC with software to generate the CRU datasets in 2010, and this was used to produce CRU TS 3.10 at the BADC in early 2011.\r\n\r\nIn July 2012, systematic errors were discovered in the CRUTS v3.10 process. The effect was, in some cases, to reduce the gridded values for PRE and therefore WET. Values of FRS were found to be unrealistic in some areas due to the algorithms used for synthetic generation. The files (pre, frs and wet) were immediately removed from BADC. The corrected run for precipitation, based on the v3.10 precipitation station data, was generated as a direct replacement and given the version number 3.10.01. There were no corrected runs produced for wet and frs.\r\n\r\nCRU TS 3.20 was produced in December 2012.\r\nIn March 2013, CRU TS observation databases for TMP and PRE variables were provided by CRU. Others are in preparation. In july 2013, two errors were found in the PRE and WET variables of CRU TS v3.20. These have been repaired in CRU TS v3.21. Details of the errors found are available in the Release Notes in the archive.\r\n\r\nCRU TS 3.21 was provided to CEDA for archival in July 2013 by CRU.\r\n\r\nCRU TS 3.22 was provided to CEDA for archival in July 2014 by CRU.\r\n\r\nCRU TS 3.23 was provided to CEDA in October 2015 by CRU. \r\n\r\nCRU TS 3.24 was provided to CEDA for archival in July 2016. This version CRU TSv3.24 has been withdrawn due to quality issues.\r\n\r\nCRU TS 3.24.01  was provided to CEDA for archival in January 2017. \r\n\r\nCRU TS 3.25  was provided to CEDA for archival in September 2017. This is the latest version available and is a replacement of the withdrawn dataset 3.24.01, it supersedes all previous data versions (which are available to allow user comparisons).\r\n\r\nCRU TS 3.26  was provided to CEDA for archival in December 2017. This is the latest version available and supersedes CRU TS 3.25.",
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            "doiPublishedTime": "2019-03-01T08:54:01",
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                "title": "UEA Climatic Research Unit (CRU)  High Resolution gridding software deployed on UEA Climatic Research Unit (CRU) computer system",
                "abstract": "This computation involved: UEA Climatic Research Unit (CRU)  High Resolution gridding software deployed on UEA Climatic Research Unit (CRU) computer system. For details about the production of CRU TS and CRU CY datasets, please refer to Harris et al. (2014) - see link below."
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                    "abstract": "The Climatic Research Unit at the University of East Anglia is producing various resolution gridded datasets.\r\nSome of those datasets are stored at CEDA-BADC."
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                    "title": "Climatic Research Unit (CRU): Time-series (TS) datasets of variations in climate with variations in other phenomena v3",
                    "abstract": "Time-series (TS) datasets are month-by-month variation in climate over the last century or so as produced by the Climatic Research Unit (CRU) at the University of East Anglia. These are calculated on high-resolution (0.5x0.5 degree) grids, which are based on an archive of monthly mean temperatures provided by more than 4000 weather stations distributed around the world. They allow variations in climate to be studied, and include variables such as cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum temperature, vapour pressure, Potential Evapo-transpiration and wet day frequency.\r\n\r\nAt present, the BADC holds the latest Time Series data generated by CRU for the period 1901-2017. Those are available as CRU TS 3.26 data. The BADC also holds the preliminary CRU TS3.00 datasets for the period 1901-2006 as well as the subsequent CRU TS 3.10, 3.20, 3.21, 3.22, 3.23, 3.24 and CRU TS 3.25 datasets for the period 1901-2016.\r\n\r\nThe CRU TS data are monthly gridded fields based on daily values -hence the ASCII and netcdf files both contain monthly mean values for the various parameters."
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            "title": "CRU CY3.26: Climatic Research Unit (CRU) Year-by-Year Variation of Selected Climate Variables by CountrY (CY) version 3.26 (Jan. 1901 - Dec. 2017)",
            "abstract": "The CRU CY version 3.26 dataset consists of ten climate variables for country averages at a monthly, seasonal and annual frequency; including cloud cover, diurnal temperature range, frost day frequency, precipitation, daily mean temperature, monthly average daily maximum and minimum temperature, vapour pressure and potential evapotranspiration. \r\n\r\nThis dataset was produced in 2018 by the Climatic Research Unit (CRU) at the University of East Anglia and supersedes version 3.25, additionally however these data are superseded by the CRU CY 4.02 data which has a new processing methodology. This concurrent release of CRU CY 3.26 and CRU CY 4.02 is made to support users during the transition to the CRU CY version 4 data. No further releases of version 3 are planned.\r\n\r\nAn updated set of country definitions have been introduced with this version. Please see the appropriate Release Notes. The data are available as text files with the extension '.per' and can be opened by most text editors.\r\n\r\nSpatial averages are calculated using area-weighted means. CRU CY3.26 is derived directly from the CRU TS3.26 dataset. CRU CY version 3.26 spans the period 1901-2017 for 289 countries.\r\n\r\nTo understand the CRU-CY3.26 dataset, it is important to understand the construction and limitations of the underlying dataset, CRU TS3.26. It is therefore recommended that all users read the Harris et al, 2014 paper listed in the online documentation on this record.\r\n\r\nCRU CY data are available for download to all CEDA users.",
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            "dataLineage": "CRU CY is derived directly from the CRU TS dataset, and version numbering is matched between the two datasets. Thus, the first official version of CRU CY was v3.21 as it is based on CRU TS v3.21.\r\n\r\nCRU CY 3.24 data files supplied to CEDA for long-term archival by CRU in October 2016.\r\n\r\nThe CRU CY 3.24 data were withdrawn in January 2017 due to known issues with the data.\r\n\r\nCRU CY 3.24.01 data files supplied to CEDA for long-term archival by CRU in January 2017.\r\n\r\nCRU CY 3.25 data files supplied to CEDA for long-term archival by CRU in September 2017.\r\n\r\nCRU CY 3.26 data files supplied to CEDA for long-term archival by CRU in September 2018.",
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                    "abstract": "This Dataset Collection contains a number of different versions of the HadUK-Grid dataset, each of which present a set of gridded climate variables extending from the present back to the 19th Century. The primary purpose of these data are to facilitate monitoring of the UK climate and research into climate variability, climate change, impacts and adaptation. The Met Office uses these data for operational monitoring of the UK's climate.\r\n\r\nThe data have been interpolated from meteorological station data onto a uniform grid at 1km by 1km resolution to provide complete and consistent coverage across the UK. The 1km data set has been regridded to different resolutions and regional averages to create a collection allowing for comparison to data from UKCP18 climate projections.\r\n\r\nA new version of HadUK-Grid is released each year. The latest version is v1.3.1.ceda, released in June 2025 and containing data up to the end of 2024. A summary of previous releases can be found below. Provisional data for more recent months can be found on the Met Office web site https://www.metoffice.gov.uk/hadobs/hadukgrid/.\r\n\r\nEach version comprises eight Datasets - gridded data at 1, 5, 12, 25 and 60 km resolution, plus three sets of area averages (UK countries, admin regions and river basins).\r\n\r\nThe earliest year of data varies by variable and has changed as more data are digitised. Currently the start years are:\r\n1836 (monthly rainfall)\r\n1884 (monthly max/mean/min air temperature)\r\n1891 (daily rainfall)\r\n1910 (monthly sunshine)\r\n1931 (daily max/min air temperature)\r\n1961 (monthly days of ground frost, relative humidity, mean sea level pressure and vapour pressure)\r\n1969 (monthly mean wind speed)\r\n1971 (monthly days of lying snow)\r\n\r\nThe grids are provided at daily (max/min air temperature and rainfall only), monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods.\r\n\r\nThe latest release has been created by the Met Office funded by the UK Department for Science, Innovation and Technology (DSIT).\r\n\r\nPrevious versions were created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project.\r\n\r\nFor all versions, the data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project \"Analysis of historic drought and water scarcity in the UK\".\r\n\r\nThe data are provided under Open Government Licence v3 (see each dataset for links to licence and associated citations to use).\r\n\r\nList of dataset versions (latest first) and key differences (each release also extends the dataset by one year):\r\n\r\nv1.3.1.ceda (1836-2024) - Daily temperature extended back to 1931 (from 1960). Historical data recovery has improved daily rainfall over Scotland for 1922-1945.\r\nv1.3.0.ceda (1836-2023) - Historical data recovery has improved daily rainfall over Scotland for 1945-1960.\r\nv1.2.0.ceda (1836-2022) - Monthly sunshine extended back to 1910 (from 1919). Incorporation of Rainfall Rescue v2.\r\nv1.1.0.0 (1836-2021) - Addition of climate averages for 1991-2020. Rainfall Rescue v1 dataset incorporated into the monthly rainfall grids which are extended back to 1836 (from 1862).\r\nv1.0.3.0 (1862-2020)\r\nv1.0.2.1 (1862-2019) - Monthly sunshine extended back to 1919 (from 1929). Historical data recovery has also improved monthly rainfall 1862-1910, daily rainfall 1891-1910 and monthly temperature 1900-1909. Correction to the grid definition for 12 km grid product to match the UKCP18 climate model products.\r\nv1.0.1.0 (1862-2018) - Addition of 5km data.\r\nv1.0.0.0 (1862-2017) - Initial release.\r\n\r\nSee the change log file for each version for further details.\r\n\r\nNote: The introduction of the '.ceda' suffix was done to highlight that CEDA is the source of these data files compared to other potential sources (e.g. the UKCP User Interface https://ukclimateprojections-ui.metoffice.gov.uk/ui/home) The data values are the same - it is the way the data are packaged that may differ between sources.\r\n\r\nEach version following the initial release is accompanied by change log files. These list new files in the version compared with the previous version plus summary totals of the number of files that remained the same, modified and removed. Links to these change logs are available in the 'Details/Docs' section of each dataset. Additionally, a summary change log file is provided which gives an overview of all changes to the data sources and processing methods since the initial release. This summary can be found in the 'Details/Docs' section below or via the individual datasets.\r\n\r\nThis collection supersedes the UKCP09 Dataset Collection and contains all datasets within the major version 1 release (i.e. v1.#.#.#). See Hollis et al. (2019; linked documentation) for details on the version numbering utilised."
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                    "abstract": "The Fidelity and Uncertainty in Climate data records from Earth Observations consists of new climate datasets from Earth Observation Satellites which have received rigorous treatment of uncertainty informed by the discipline of metrology. The collection datasets  include Fundamental Climate Data Records (FCDRs) containing harmonised radiances and [Thematic] Climate Data Records (CDRs) for ensemble sea and lake surface temperature, tropospheric humidity, aerosol optical depth and surface albedo  that are widely applicable and metrologically rigorous.\r\n\r\nThe archived  FCDRs have a length relevant to climate (>20 years) and can support numerous CDRs. The selected CDRs illustrate new capabilities (e.g. equi-probable ensembles) as well as the benefiting from use of the new FCDRs, resulting in improved stability and traceable uncertainties. Specifically, the data collection contains: harmonised radiances (FCDRs) for the following sensors: Advanced Very High Resolution Radiometer (AVHRR), High Resolution Infrared Radiation Sounder (HIRS),  Advanced Microwave Sounding Unit-B (AMSU-B), Microwave Humidy Sounder (MHS) and Meteosat Visible Infra-Red Imager (MVIR); and geophysical datasets with uncertainties."
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            "abstract": "The The FIDelity and Uncertainty in Climate data records from Earth Observations (FIDUCEO) project Upper Tropospheric Humidity (UTH) Climate Data Record version 1.2 dataset is derived from satellite brightness temperatures and uncertainties from the  FIDUCEO Microwave Fundamental Climate Data Record (FCDR). The instantaneous observations from the  FIDUCEO Microwave FCDR are used to derive a spatio-temporal averaged data record, which contains monthly mean UTH and brightness temperature mapped to a regular latitude/longitude grid covering the tropical region (-30° to 30° N), with a spatial resolution of 1° x 1°.  It covers all mission years  of the Special Senson Microwave for Temperature (SSMT2) instrument on the F11,  F12,  F14,  F15 satellites, the Advanced Mircowave Sounding Unit (AMSU-B ) instrument on the NOAA 15-17 satellites and the Microwave Humidity Sounder (MHS)  instruments on the NOAA18,  NOAA19,  MetopA, Metop-B satellites. \r\n\r\nFull documentation including product user guide, tutorials and relevant publications are available in the documentation",
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