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Atmospheric Conditions

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  • This web map service (WMS) show Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 2013 to 2015. The maps show deposition values (kg ha-1 year-1) for oxidised nitrogen (NO2/NO3), reduced nitrogen (NH3/NH4) , non-marine sulphur (SO2/SO4) and base cations (Ca+Mg) . These total deposition values are the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also provided.

  • This web map service (WMS) provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 2011 to 2013. The maps show deposition values (kg ha-1 year-1) for oxidised nitrogen (NO2/NO3), reduced nitrogen (NH3/NH4) , non-marine sulphur (SO2/SO4) and base cations (Ca+Mg) . These total deposition values are the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also provided.

  • This web map service (WMS) show Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 5x5 kilometre (km) grid squares of the UK averaged over the years 2017 to 2019. The maps show deposition values (keq ha-1 year-1) for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (Defra) contracts.

  • This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates daily averaged atmospheric composition at approximately 5 km grid for the years 2001 to 2015. The data consists of atmospheric composition and deposition values of various pollutants; including PM10, PM2.5, secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), sulfur dioxide (SO2), ammonia (NH3), nitrogen oxides (NOX) , and ozone (O3). The EMEP model version used here is rv4.17 and the WRF model version is the 3.7.1. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. A version of this dataset is available (https://doi.org/10.5285/ca302d30-7b8b-46ec-90b6-67b79df00c92), run with the latest release of the Atmospheric Chemistry Transport Model EMEP (rv4.36) and with the latest NAEI emissions. The new set of model runs covers an extended time period from 2002 until 2021 and is available in a higher resolution (3 km2 x 3km2). Full details about this dataset can be found at https://doi.org/10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8

  • The European Monitoring and Evaluation Program Unified Model for the UK (EMEP4UK) simulates the year 2001 to 2014 UK daily average atmospheric composition at a horizontal resolution of 5 x 5 km2. The species included in this dataset are surface daily average concentrations of: nitric oxide (NO), nitrogen dioxide (NO2), particulate matter (PM10 and PM2.5), ammonia (NH3), nitric acid (HNO3), sulphur dioxide (SO2), ammonium (NH4+), nitrate (NO3-), sulphate (SO42-), PM2.5 organic matter, and ground level ozone (O3). The EMEP4UK model framework consists of an atmospheric chemistry transport model (ACTM) which simulates hourly to annual average atmospheric composition and deposition of various pollutants and the weather research and forecast model (WRF). Pollutants simulated include fine particulate matter (PM10, PM2.5), secondary organic aerosols (SOA), elemental carbon (EC), secondary inorganic aerosols (SIA), sulphur dioxide (SO2), ammonia (NH3), nitrogen oxides (NOx), and ground level ozone (O3). Dry and wet deposition of pollutants are also generated by the EMEP4UK. WRF is used to calculate the required meteorological input data for the ACTM. The version of EMEP4UK used to model the 2001-2014 dataset available here is based on the EMEP Meteorological Synthesizing Centre West (MSC-W) model version rv4.4. A more recent version of this dataset, calculated using the EMEP model version rv4.17 and the WRF model version 3.7.1 is available at https://doi.org/10.5285/b0545f67-e47c-4077-bf3c-c5ffcd6b72c8. Notes: Only the simulations for the years between 2002-2012 include data for from forest fire. The emissions used for simulating the years 2013 and 2014 are the same as the year 2012 (updated date will be made available as soon as 2013 and 2014 national emission inventory data have been processed). The calculated year 2001-2012 use a different version of the WRF model, moreover for the year 2013 and 2014 the WRF model setup was changed as the specific Humidity is no longer nudged with re-analysis in the WRF simulation. Acknowledgements required (third-party datasets used to drive the model): The WRF model calculated meteorology uses the dataset from NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. (http://www.wrf-model.org/). National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce. 2000, updated daily. NCEP FNL Operational Model Global Tropospheric Analyses, continuing from July 1999. Research Data Archive at the National Center for Atmospheric Research, Computational and Information Systems Laboratory. (http://doi.org/10.5065/D6M043C6). Emissions data from the EMEP emissions center (www.emep.int), and NAEI web site (http://naei.defra.gov.uk).

  • This dataset contains 90 source footprints of nitrogen and sulphur deposition across the UK. Emission data from UK sources of nitrogen and sulphur for the year 2012 has been modelled using the FRAME (Fine Resolution Atmospheric Multi-Pollutant Exchange) atmospheric dispersion model on a 5 x 5 km grid. The data are split by into both wet and dry deposition, oxidised and reduced, as well as local vs long-range components. Habitat-specific deposition data are provided also for (i) forest, (i) moorland (short semi-natural vegetation), and (iii) grid average (average of arable, grassland, urban, forest and moorland land cover types). Full details about this dataset can be found at https://doi.org/10.5285/e5bfac9b-0642-4b5b-a780-e5801b2dab8b

  • This dataset consists of spatially explicit (1 km gridded) metrics of climate change “exposure” (i.e. an index of the amount of expected change in a location) derived from quantifying the difference in observed historical and predicted future climatic conditions. Four comparisons are included between five discrete time periods: 1901–1930 v. 1961–1990; 1961–1990 v. 2010–2019; 2010–2019 v. 2021–2040; and 2021–2040 v. 2061–2080. Full details about this dataset can be found at https://doi.org/10.5285/d370cda8-7d3d-4b62-8d09-23711aa18ac2

  • Data comprise relative humidity measured at an automatic monitoring buoy located in Blelham Tarn, UK. Data are provided from January 2012 to December 2019. Hourly averages are given, calculated from measurements taken every four minutes. All data is given in GMT (Greenwich Mean Time). This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/3df05e85-2c56-4bd9-9918-44b760e20b2e

  • The data offers insights to utility of single particle ultraviolet light- induced fluorescence (UV-LIF) measurements in providing quantification and spatio-temporal characterisation of bioaerosols alongside the size distribution and characteristics of biological materials in airborne particles based on intrinsic bio fluorophores signatures. A novel ultraviolet light-induced fluorescence (UV-LIF) based bioaerosol sensor unit (Spectral Intensity Bioaerosol Sensor (SIBS)) was evaluated. The SIBS measures size, number, shape, and resolved fluorescence emission across 16 wavelength bands from 298 - 735 nm for two excitation wavelengths (285 nm and 370 nm) for single particles in real-time. Measurements entailed the chamber-based studies and real world environments (composting, dairy farms, chicken farms, sewage treatment plants, urban background, agricultural). This data stems as a part of a project (Detection and characterisation of inflammatory agents associated with bioaerosol emitted from biowaste and intensive agriculture) funded by the Natural Environment Research Council [NE/M01163/1]. The award was made under the auspices of the Environmental Microbiology and Human Health programme. The principal purpose was to assess the capabilities of the SIBS to enhance understanding of the bioaerosols emission and dispersion from industrial processes. Full details about this dataset can be found at https://doi.org/10.5285/98970053-b34c-44da-97bd-fbfc38fa8b7a

  • [This dataset is embargoed until May 20, 2025]. The greenhouse gas (GHG) emissions represent the amount of greenhouse gases (nitrous oxide, methane and carbon dioxide) emissions associated with the annual production of seven livestock commodities, considering the following processes: enteric fermentation, manure deposition on grassland, manure management on farm; application of manure on feed crops and application of synthetic fertiliser on grassland and feed crops, plus other cropland emissions for feed crops (e.g. methane from rice cultivation). We also provide the greenhouse gas emission intensities, which indicate the amount of greenhouse gas emissions per unit of mass of animal products produced annually. The considered livestock commodities are: bovine meat and milk, small ruminant (sheep and goat) meat and milk, pig meat, poultry (chicken, ducks) meat, and poultry eggs. The resolution is 5 arc minute, across the global land area, for the period of 1997-2003. Full details about this dataset can be found at https://doi.org/10.5285/76f8c5c0-6dde-407a-9710-2bca2e041512