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  • This is the 4.0.0.2017f version of the HadISDH land data. These data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2017. The data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). Data are provided in either NetCDF or ASCII format. This version extends the 3.0.0.2016p version to the end of 2017 and constitutes a major update to HadISDH due to a change to using the 1981-2010 period as its climatological reference period both to make it more consistent with other monitoring products and to maximise station coverage now that it uses the larger station database of HadISD2. Users are advised to read the update document in the docs section for full details. This version now uses the 1981-2010 period as its climatological reference period both to make it more consistent with other monitoring products and to maximise station coverage now that it uses the larger station database of HadISD2. Additionally, there has been a small methodological change. Stations with large adjustments made during homogenisation are removed based on thresholds for q (>3g/kg), RH (>15%rh), T (>5degC) and Td (>5degC) rather than just T and Td. This results in 54 stations being removed as opposed to 29 last year. All other processing steps for HadISDH remain identical. The new version of HadISD2 (2.0.2.2017p) has pulled through some historical changes to stations which are passed on to HadISDH. This, and the additional year of data, results in small changes to station selection. The homogeneity adjustments differ slightly due to sensitivity to the addition and loss of stations, historical changes to stations previously included and the additional 12 months of data. To keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/ References: When using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference) : Willett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014. Smith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1 We strongly recommend that you read these papers before making use of the data, more detail on the dataset can be found in an earlier publication: Willett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface specific humidity product for climate monitoring. Climate of the Past, 9, 657-677, doi:10.5194/cp-9-657-2013.

  • This dataset contains surface layer meteorological measurements that were made during the Iceland Greenland Seas Project (IGP) field campaign from a variety of observation platforms, including several WeatherPack systems, RPG Hatpro Radiometer and a Windcube LIDAR. This dataset presents a quality controlled combination of observations from these instruments, as indicated by the data origin flags. Sea surface temperature was measured by the underway SBE38 bow temperature sensor for the majority of the cruise, with 2m CTD observations used to fill several short gaps where high frequency observations were available. Additionally these observations have been processed using the COARE 3.0a bulk aerodynamic flux algorithm to provide bulk variables at standard heights and estimated flux coefficients. Attached documentation on quality control methods and calibrations should be consulted before using these data. The Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1).

  • Surface wind measurements are available from the Vaisala WXT510 surface meteorology instrument deployed at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales from 2007 to 2015. Wind speed and direction are measured by a WINDCAP (R) sensor which consists of an array of three equally-spaced ultrasonic transducers. These transducers are situated approximately 11 cm apart in a horizontal plane, leading to minimum, mean, and maximum values of speed and direction to be recorded. Data are available in netCDF formatted data files to all CEDA registered users under the UK Open Government licence. This instrument has since been replaced by a Vaisala WXT520 surface meteorology instrument at the site. Note - the wind data from this instrument are known to be highly constrained by the valley topography in which the instrument is sited. As such it should not be used as a representation of the broad scale wind field, but may be of interest to those wishing to study valley flows.

  • Surface meteorological data are measured by a number of instruments deployed at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales. This dataset consists of data collected by the following suite instruments connected to a Campbell Scientific CR10 Climate Data Logger: Campbell Scientific 107 thermistor temperature probe mounted inside an URS1 unaspirated radiation shield. Accuracy: +/- 0.4 degrees C. Vaisala PTB101B barometric pressure sensor. Accuracy: +/- 2.0 hPa. Vaisala HMP45C temperature and relative humidity probe (from which only the humidity measurements are used) mounted inside an URS1 un-aspirated radiation shield. Accuracy: +/- 0.3%. Environmental Measurements ARG100 tipping bucket raingauge. Kipp and Zonen CM3 thermopile pyranometer (WMO second class). Accuracy: +/- 0.5%. The raingauge is located on the ground. All other sensors are mounted on a post approximately 1 m above the ground. The data logger initially samples the atmospheric temperature, pressure and humidity sensors at 5 s intervals. Mean values are calculated over each 60 s and the outputs from the logger represent minima, means and maxima of these 60 s means over each 10 minute sample period. The data logger is connected to a tipping bucket raingauge (sampled every 1 s, and recording tips for each 0.20 mm accumulation of rain); pyranometer (sampled every every 5 s, recording the down-welling radiation within a hemispheric field of view with a flat response in the spectral range 305 - 2800 nm); The data are available in NASA-Ames formatted files. Independent surface meteorological data are also available from the Vaisala WXT510 instrument also located at the site and are available in the wxt510-precipitation and PTU datasets.

  • HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Daily precipitation, as well as maximum and minimum temperature observations, are used to calculate these indices at each station. The daily data, as well as indices, have been supplied, quality controlled and combined to make a gridded set of NetCDF files covering 1901-2018 (inclusive). Spatial coverage is determined by the number of stations present at each time point as well as the spatial correlation structure between the stations for each index. The spatial coverage is lowest at the beginning of the dataset, rising until around 1960 where it plateaus, and then declines slightly after 2010. All indices are available as annual quantities, with a subset also available on a monthly basis. A number of the indices use a reference period to determine thresholds. For these, we provide two versions, one set using 1961-1990 and another using the more recent 1981-2010 (these reference periods have been indicated in the file name as either 'ref-6190' or 'ref-8110'). In September 2020, a user identified some issues in the DTR and TN90p (61-90) indices. These were found to have arisen from erroneous values in a few stations which were not picked up by any quality control checks. These stations were noted on the bad list and these two indices re-run, hence v3.0.1.

  • Surface pressure, temperature and humidity data (PTU) were collected by a Vaisala WXT510 instrument located at the Natural Environment Research Council's (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales. Rainfall rate data from this instrument are also available as a separate dataset within the MST Radar Facility dataset collection. The WXT-510 instrument at the site began operational recording in December 2007 and ceased in January 2015, subsequently being replaced by a Vaisala WXT-520 instrument. The WXT520 data are also available from CEDA as part of the MST Radar Facility's dataset collection. Independent surface meteorological data are also collected from a suite of instruments by a Campbell Scientific CR10 Climate Data Logger. These data are available as a separate dataset within the MST Radar Facility dataset collection.

  • Operational data from 1st January 2002 to present containing the ongoing analyses and forecasts produced by the most recent ECMWF Integrated Forecasting System (IFS) model. Data are available at the resolutions used for the ERA 40 reanalysis project - i.e. reduced Gaussian N80 for surface data and spectral T159 for upper air data. The IFS is regularly updated as improvements are made to the model, computing facilities and observations used in data assimilation.

  • In support of the COAPEC Thematic Programme the BADC has extracted seasonal forecast ensemble data from the ECMWF MARS (Meteorological Archive and Retrieval System) archive. These data are also known as "Hindcasts" as they are forecasts run retrospectively. Since the data is part of the ECMWF Operational system BADC users must successfully apply for access to this dataset before they can obtain the data. The ECMWF produced two sets of runs, System 1 and System 2. The data archived at the BADC are the System 2 runs which use the atmospheric component Cy23r4 of the IFS (Integrated Forecasting System) with a horizontal resolution of TL95 at 40 levels in the vertical. This is the same cycle of the IFS used for the ERA-40 re-analysis. A detailed description of the ECMWF Seasonal Forecasting system can be found on the ECMWF web site. Products: The BADC has extracted monthly means, maxima, minima and standard deviations for the available surface variables from 1987 to 6 months before the present date. Atmospheric variables are only currently available as monthly means. The data is held as part of the main BADC Operational ECMWF archive. For each month there are six forecast months archived, with 5 ensemble members for 10 months of the year, and 40 ensemble members in May and November of each year from 1987-2001. From 2002 onwards there are 40 ensemble members per month. There are 33 parameters held on surface or single levels and 6 parameters available on pressure levels. The data is held on a regular 1.875 x 1.875 degree grid in GRIB format.

  • HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid covering 1901-2018. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Indices are available on an annual, and for some a monthly, basis. Some indices use a reference period to calculate thresholds, and for these, we provide versions using 1961-90 and 1981-2010. The indices are available in NetCDF files, with one index per file and separate files for annual and monthly values, as well as the different reference periods if appropriate. The codes used to create the dataset are available online, and a wide number of analysis plots are on the dataset homepage. For a detailed description of the methods behind the dataset, please see the paper in Details/Docs.

  • Regularly gridded operational data at 1.125 degree resolution from 2000 to present containing the ongoing analyses and forecasts produced by the most recent ECMWF Integrated Forecasting System (IFS) model. The IFS is regularly updated as improvements are made to the model, computing facilities and observations used in data assimilation.