This dataset contains optical ice velocity time series and seasonal product of the Jakobshavn Glacier in Greenland, derived from intensity-tracking of Sentinel-2 data acquired between 2017-06-03 and 2017-09-08. It has been produced as part of the ESA Greenland Ice sheet CCI project. The data are provided on a polar stereographic grid (EPSG 3413:Latitude of true scale 70N, Reference Longitude 45E) with 50m grid spacing. The horizontal velocity is provided in true meters per day, towards EASTING (x) and NORTHING (y) direction of the grid. The data have been produced by S[&]T Norway.

This dataset contains atmospheric nitrous acid (HONO) measurements made at the IAP-Beijing site during the summer and winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. HONO data was obtained using a commercial (QUMA) Long Path Absorption Photometer (LOPAP) instrument and calibrated using liquid nitrite standards. Data are averaged over 5 mins, the time stamp represents the start time of each averaging period. Missing data are either due to baseline measurements, calibrations or instrument malfunction. They are not retrievable.

This dataset contains high resolution attitude and motion measurements of the Icebreaker Oden ship's motion by the University of Leeds' XSENS MTi-G-700 attitude and heading reference system during the Arctic Cloud Summer Expedition (ACSE). The ACSE cruise took place in the Arctic during summer 2014. These data were obtained 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 Investigation) holdings - see online resources linked to this record. Measurements were made at 40Hz for inertial measurements and 4Hz for GPS measurements. Though the inertial measurements were used at 20Hz when merged with sonic anemometer, 20 minute final fluxes (see related data within the parent data collection). The XSens MTi-G-700 measures 3-axis accelerations, rotation rates, and magnetic field components as well as GPS position. Internal algorithm calculate 3-axis velocity, tilt angles and heading. However, users of these data should note that it is often not possible to calibrate magnetic field for local platform induced distortions (soft iron and hard iron corrections) resulting in errors in magnetic field and calculated outputs. Additionally, the heading measurements were found to unreliable on the ship. 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 data file contains two sets of optimised global surface fluxes of ethane (C2H6), produced through variational inverse methods using the TOMCAT chemical transport model, and the INVICAT inverse transport model. Emissions were produced using an iterative method of optimisation, known as 4D-Var, which minimised the model-observation differences. These surface fluxes are produced as monthly mean values on the (approximately) 5.6 degree horizontal model grid. The associated uncertainty for the flux from each gridcell is also included. The fluxes and uncertainties are global, and cover the period Jan 2008 - Dec 2014. There are two alternative emissions sets, labelled EMIS_ALL and EMIS_ANTH, whilst the uncertainties are labelled ERROR_ALL and ERROR_ANTH, respectively. The two optimised emission estimates are produced through iterative minimisation of model-observation error in INVICAT. In all cases the observations are surface flask samples of ethane produced by by the National Oceanic and Atmospheric Administration’s Global Monitoring Division (NOAA GMD) and the University of Colorado’s Institute of Arctic and Alpine Research (INSTAAR). Whole air samples in flasks are collected weekly to bi-weekly at each site and C2H6 is measured using gas chromatography with a flame ionization detection method. The EMIS_ALL fluxes are produced through variation of all surface emission types (anthropogenic, biomass burning, oceanic and biospheric), whilst the EMIS_ANTH fluxes are produced by only allowing the surface anthropogenic emissions to vary, with prior estimates of other emission types then added back on. Flux and uncertainty units are kg(C2H6)/m2/s, and time units are days since January 1st 2008. These emissions show improved performance relative to independent observations when included in the TOMCAT model. Further details about the data can be found in the PDF documentation stored along side this data, as well as in Monks et al., 2018.

This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite. This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project. It provides daily sea ice thickness data on the satellite measurement grid (Level 2P) at the full sensor resolution for the period October 2002 to March 2012. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information.

This dataset provides a Climate Data Record of Sea Ice Thickness for the southern hemisphere polar region, derived from the RA-2 (Radar Altimeter -2) instrument on the Envisat satellite at Level 3C (L3C). This product was generated in the context of the ESA Climate Change Initiative Programme (ESA CCI) by the Sea Ice CCI (Sea_Ice_cci) project. It provides monthly gridded sea ice thickness data on a Lambeth Azimuthal Equal Area Projection for the period October 2002 to March 2012. Note, the southern hemisphere sea ice thickness dataset is an experimental climate data record, as the algorithm does not properly considers the impact of the complex snow morphology in the freeboard retrieval. Sea ice thickness is provided for all months but needs to be considered biased high in areas with high snow depth and during the southern summer months. Please consult the Product User Guide (PUG) for more information.

This dataset contains chemical composition measurements of PM2.5 particles made at the Institute of Atmospheric Physics land station (IAP), Beijing site during the winter APHH-Beijing campaign for the Atmospheric Pollution & Human Health in a Chinese Megacity (APHH) programme. Daily fine particles were collected on the PTFE (Polytetrafluoroethylene) filters using the Partisol samplers. The filters were then analysed for metals using X-ray fluorescence (XRF) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS), and for ion species using Ion Chromatography. Quartz filters were collected by Tisch high vol, samplers and then were analysed for organic and elemental carbons using the DRI Model 2015 Multiwavelength Thermal/Optical Carbon Analyser, and organic tracers using Gas chromatography–mass spectrometry (GC-MS).

Global Coordination of Atmospheric Electricity Measurements (GloCAEM) project brought these experts together to make the first steps towards an effective global network for FW atmospheric electricity monitoring by holding workshops to discuss measurement practises and instrumentation, as well as establish recording and archiving procedures to archive electric field data in a standardised, easily accessible format, then by creating a central data repository. This project was funded in the UK under NERC grant NE/N013689/1. This dataset contains measurements of atmospheric electricity and electric potential gradient made using a Cambell Scientific CS110 electric-field mill at the University of Reading.

The data are projected future still water return levels. The data were produced by the Met Office using projections of future mean sea level change prepared at the Met Office and estimates of present-day still water return levels which were provided by the Environment Agency. The data were produced as a simple indication of the relative sizes and uncertainties in present day extreme water levels and projected future mean sea level change. The data were produced by combining preojections of mean sea level change with best estimates of present day extreme still water levels. The data in marine strand 4.09 cover the period from 2020 to 2100 and are available for 46 UK tide gauge locations.

This dataset contains winter (October-March) extra-tropical cyclone tracks generated by TRACK (Hodges 1994, 1995, 1999) that pass through a Western European domain from NCEP-CFS (1979-2010). The tracks were filtered to retain those that travelled 1000km and lasted 2 days. Fields referenced to the tracks are: mean sea-level pressure (min within 5 degrees), 925hPa windspeed (max within 6 degrees), precipitation (max within 5 degrees), 700hPa vertical velocity (min within 5 degrees), 925hPa land-windspeed (max within 6 degrees), precipitation (area average over 5 degrees). This data was collected as part of Robust Spatial Projections for the Real World (Real Projections) NERC (Natural Environment Research Council) NE/N018486/1. For files with the naming convention: [Dataset]_tr_trs_VOR850_[yearstart][yearend]_pos.addmslp_addspeed_addprecip_addomega_addlandwinds_addavgprecip.new_1000km2dayfiltered[_RealProjregion2filtered_maxlandwindsinregion].txt The track files contain a 5 line header. The information in the body of the file gives: 1. Date and time (YYYYMMDDHH). 2. Longitude of relative vorticity maximum (degrees). 3. Latitude of relative vorticity maximum (degrees). 4. Relative vorticty at T42 resolution (x10-5 s-1). 5. Longitude of associated MSLP minimum (degrees). 6. Latitude of associated MSLP minimum (degrees). 7. MSLP minimum (hPa). 8. Longitude of 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (degrees). 9. Latitude of 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (degrees). 10. 925hPa windspeed maximum within a 6 degree radius of vorticity maximum (ms-1). 11. Longitude of precipitation maximum within a 5 degree radius of vorticity maximum (degrees) 12. Latitude of precipitation maximum within a 5 degree radius of vorticity maximum (degrees) 13. Precipitation maximum within a 5 degree radius of vorticity maximum (mmhr-1) 14. Longitude of 700hPa minimum vertical velocity within a 5 degree radius of vorticity maximum (degrees) 15. Latitude of 700hPa minimum vertical velocity within a 5 degree radius of vorticity maximum (degrees) 16. 700hPa vertical velocity minimum within a 5 degree radius of vorticity maximum (ms-1) 17. Longitude of 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (degrees). 18. Latitude of 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (degrees). 19. 925hPa windspeed maximum over European and Scandinavian land within a 6 degree radius of vorticity maximum (ms-1). 20. Precipitation area averaged over a 5 degree radius of vorticity maximum (mmhr-1) The [_RealProjregion2filtered_maxlandwindsinregion] refers to data that has been filtered to those storms that have their maximum 925hPa windspeed over land in the region. The add[field] refers to which field, and the order, in which the meteorological fields have been referenced to the vorticity centres. For files with the naming convention: [Dataset]_tr_trs_VOR850_[yearstart][yearend]_pos.addmslp_addspeed_addprecip_addomega_addlandwinds_addavgprecip_addmax5cmorph_addavg5cmorph.new_1000km2dayfiltered_RealProjregion2filtered_maxlandwindsinregion.txt (i.e. these include two additional fields for a smaller temporal range) The same track information as above in included, plus: 21. Longitude of CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (degrees) 22. Latitude of CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (degrees) 23. CMORPH precipitation maximum within a 5 degree radius of vorticity maximum (mmhr-1) 24. CMORPH precipitation area averaged over a 5 degree radius of vorticity maximum (mmhr-1)