This dataset contains meteorological and atmospheric dust concentration, deposition and particle-size data from Kangerlussuaq, southwest Greenland, 2017-2019. Meteorological and dust concentration data measured at two locations and dust deposition data measured at 5 locations on an east to west transect between 1.8 and 37.4 km from the 2017 Greenland Ice Sheet western margin. The work was supported by the Natural Environment Research Council (grant NE/P011578/1) Full details about this dataset can be found at https://doi.org/10.5285/ea6ff6d0-a2da-418f-ac6f-7e6b777e40c5

The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. This dataset contains RGB dust images from MSG satellites over the full disc at 45.5 degrees East. Imagery available from 1000 UTC 1st June 2022 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old. NOTE - this dataset differs from the previous LEDF41 product produced using imagery from Meteosat-8 located at 41.5E. These new data are from Meteosat-9 which was drifted from previous operations over 3.5 E to 45.5 E between 1st February 2022 to 20th April 2022 to take over as the prime IODC (Indian Ocean Data Coverage) satellite by 1st June 2022. See linked EUMETNET web page regarding this change in operation. The Met Office switched to providing this LEDF41 product from this new satellite at 0915 UTC on 1st June 2022, this dataset. See linked datasets for previous data. These are treated as two distinct datasets due to the shift in locational coverage. The geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).

The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. This dataset contains RBG dust images from MSG satellites over the full disc at 0 degrees. Imagery available from November 2021 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old. The geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).

The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. This dataset contains RGB dust images from MSG satellites over the full disc at 41.5 degrees East. Imagery available from November 2021 until 0900 UTC 1st June 2022 (see following note) at a frequency of 15 minutes (some are hourly) and are at least 24 hours old. NOTE - from 1st February 2022 to 20th April 2022 Meteosat-9 was drifted from 3.5 E to 45.5E at a rate of 0.5 degree a day drift to a new observation location centred over 45.5 degrees East to take over as the prime IODC (Indian Ocean Data Coverage) satellite from 30th May 2022. This role was previously by Meteosat-8, which remains in place for emergency . Data were not made available during this drifting process. The Met Office production of the LEDF41 product switched to using Meteosat-9 from 0915 UTC on 1st June 2022. See linked dataset for the replacement dataset to continue provision of this product over this region of the globe. The geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).

This dataset contains 268 files of basic gridded atmospheric and surface data for the planet Mars, each covering a period of 30 sols (Martian mean solar days). The fields are produced by assimilating retrieved atmospheric quantities using the Analysis Correction (AC) scheme in the UK spectral version (Oxford University and The Open University) of the Mars Planetary Climate Model (Mars-PCM), which is maintained by the Laboratoire de Météorologie Dynamique at Sorbonne Université in Paris, France. Observations are taken from the Mars Global Surveyor/Thermal Emission Spectrometer (MGS/TES), the Mars Odyssey/Thermal Emission Imaging System (ODY/THEMIS), and the Mars Reconnaissance Orbiter/Mars Climate Sounder (MRO/MCS) instruments. Assimilated MGS/TES retrievals include nadir thermal profiles below approximately 40 km altitude and column dust optical depth values. Assimilated ODY/THEMIS retrievals include column dust optical depth values. Assimilated MRO/MCS retrievals include limb thermal profiles and dust extinction profiles below approximately 80 km altitude, as well as estimates of column dust optical depth values. The dataset covers 12 Martian years (MY), from MY 24 through MY 35 (i.e. from July 1998 through February 2021). Each file contains 30 sols, and each sol contains variables at 12 times. TES, THEMIS, and MCS retrievals are assimilated separately, with no overlap. Several 30-sol periods at the beginning of MY 24 contain no available observations; in these cases the model is run with no assimilation (free run). The file name and the "assimilation_run_type" global attribute indicate which observing system is assimilated in each file: MGS/TES, ODY/THEMIS, MRO/MCS, MRO/MCS_nodust (only thermal profiles, no dust extinction profiles nor column dust optical depth values), MRO/MCS_nodustprof (only thermal profiles and column dust optical depth values, no dust extinction profiles), or free-run (i.e. no assimilated observations because retrievals are not available).

This dataset collection holds datasets from the FAAM BAe-146 aircraft and ground-based measurements taken in Cape Verde off the coast of Senegal, Africa during 2015 and 2016 in support of the UK Ice in Clouds Experiment - Dust (UK ICE-D) project.

This dataset presents the microparticle (dust, diatoms, pollen and spores), stable water isotope, liquid electrical conductivity and major ion concentrations from the first ice core drilled from Cordillera Darwin, Chile (2017-2020 CE). These records were presented in Tetzner et al. (2025) to assess the preservation of local-to-regional environmental information in the firn. Results obtained from the analysis of this dataset highlighted the potential of high elevation sites in the Cordillera Darwin Icefield to hold valuable paleoenvironmental records directly from the core of the Southern Hemisphere Westerly wind belt. This dataset was created with the support of the Dieter R Tetzner's National Geographic Early Career Grant 2019.

This dataset contains scan data from the National Centre for Atmospheric Science's (NCAS) mobile X-band radar collected at Praia International Airport, Santiago, Cape Verde between July and August 2015 as part of the Ice in Clouds Experiment - Dust (ICE-D). The radar has Doppler and dual-polarisation capability and measures the location and intensity of precipitation, radial winds and polarisation parameters. The X-band radar is operated as part of the NCAS Atmospheric Measurement Facility (AMF).

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 monthly averaged atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen at 3x3 km2 grid for the years 2002 to 2021. The data consists of atmospheric deposition values of oxidised sulphur, oxidised nitrogen, and reduced nitrogen. The EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2. 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/10.5285/904af4a0-d66d-460d-82eb-c8965e161b3e

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 annual averages of vegetation specific atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen on a 1x1 km2 grid for the year 2018. The EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.1.1. 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. Full details about this dataset can be found at https://doi.org/10.5285/2adc10bf-e6f4-4e8d-b268-ee5d58d31c50