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humidity

40 record(s)
 
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  • This dataset contains humidity and temperature profiles from the NCAS Humidity And Temperature PROfilers (HATPRO) scanning radiometer on board the Alliance research vessel for the Iceland Greenland seas Project (IGP). 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)

  • 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.

  • The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. This dataset contains minute resolution meteorological measurements by the Met Office Automatic Weather Stations (AWS) during the DIAMET intensive observation campaigns.

  • This dataset contains composite temperature, humidity and wind profiles, plus derived products, from the National Centre for Atmospheric Science's Atmospheric Measurement Facility (NCAS AMF) radiosondes launched from the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record. These data consist of individual radiosonde profiles as 2D time/height fields, with all profiles interpolated onto a fixed vertical grid for ease of analysis/plotting across the outward (leg 1) and return (leg 2) parts of the expedition. The vertical grid used is: 1m step to 5km, 10m step between 5 and 12 km, 50m step between 12 and 20 km. The data also includes derived variables (potential temperature etc). Barbara Brooks (NCAS AMF) was responsible for the radiosonde ascents during the voyage and for the original data, whilst Ian Brookes prepared these data for archiving. The Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat. ACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud. The UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements.

  • The University of Salford radiometer data describe observations taken by microwave radiometer that was situated at the Faccombe wind turbine field site, Hampshire and collected data from 24th June 2005 until 26th August 2005. T The dataset contains measurements of the following parameters: Liquid Water Path (LWP) time series – 1 second measurement time Integrated Water Vapour (IWV) time series – 60 seconds measurement time Humidity Profile (full troposphere) (HPC) – 60 seconds measurement time Temperature Profile (full troposphere) (TPC) – 60 seconds measurement time Temperature Profile (boundary layer) (TPB) – 200 s measurement time A boundary layer temperature profile was taken every 10 minutes which took 200 seconds to complete. When not operating a boundary layer scan, the radiometer operated in zenith mode and measurements of LWP, IWV and the tropospheric temperature and humidity profiles were made. Calibrations were performed every 20 minutes, 6 hours and 24 hours. The boundary layer temperature measurements (0 – 2000 m) have a vertical resolution of 50 m. The tropospheric temperature measurements (0 – 10000 m) have a vertical resolution of 200 m. The tropospheric humidity profiles (0 – 6000 m) have a vertical resolution of 200 m (0 – 2000 m) and 400 m (2000 – 6000 m). Two jpeg images files have been produced from the radiometer data for each day from 24th June 2005 until 26th August 2005. The first image file contains separate profiles of temperature up to 2 km and 10 km and profiles of absolute and relative humidity up to 10 km. The second image file contains a time series of the integrated water vapour and liquid water path.

  • The CAST dataset contains data produced by the NERC Co-ordinated Airborne Studies in the Tropics (CAST) project. CAST was a collaborative initiative with NASA's Airborne Tropical Tropopause Experiment (ATTREX) programme to study the Tropical Tropopause Layer (TTL) over the Pacific Ocean and South East Asia. This dataset contains measurements of ozone, carbon dioxide, methane and other atmospheric chemical species.

  • Integrated water vapour (IWV) data from the Met Office's GPS instrument located at the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility, Capel Dewi, near Aberystwyth in West Wales. These data are restricted (please use the apply for access link) and made available under the NERC-Met Office agreement.

  • The CAST dataset contains data produced by the NERC Co-ordinated Airborne Studies in the Tropics (CAST) project. CAST was a collaborative initiative with NASA's Airborne Tropical Tropopause Experiment (ATTREX) programme to study the Tropical Tropopause Layer (TTL) over the Pacific Ocean and South East Asia. This dataset contains measurements of temperature, humidity, wind and ozone.

  • The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. This dataset contains meteorological data recorded by radiosondes launched in support of the DIAMET campaign. Data are from the Manchester radiosondes launched at Aberystwyth and from Met Office sondes at Albemarle, Camborne, Castor Bay, Herstmonceux, Lerwick and Lochranza.

  • This dataset contains meteorological data, including air temperature, near-surface air temperature profiles, relative humidity, surface temperature, near-surface wind speed profiles, shortwave and longwave radiation components, wind speed and wind direction measured at a station on the ice floe during the joint Arctic Climate Across Scales (ACAS) and Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) projects - both part of the Arctic Ocean 2018 (AO2018) expedition to the High Arctic. AO2018 took place in the Arctic from 1 August until 21 September 2018. These measurements were used to complement a suite of other observations taken during the expedition. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the Bolin Centre for Climate Research MOCCHA/AO2018 holdings. These data were prepared for archiving as NetCDF data at the Centre for Environmental Data Analysis (CEDA) by Jutta Vüllers, University of Leeds. The UK participation of MOCCHA was funded by the Natural Environment Research Council (NERC, grant: NE/R009686/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF).