This dataset contains measurements of the water vapour isotope composition of ambient vapour obtained from a water vapour isotope analyzer manufactured by Los Gatos Research (LGR), and from discrete sampling of surface snow and precipitation and subsequent laboratory analysis. The analyzer was installed in the harbour of Húsavik, Iceland. Discrete sampling included precipitation and surface snow from two surface transects in northern Iceland and in several locations in southern Norway. The LGR LWIA analyzer is an off-axis cavity ring-down spectrometer using infrared absorption bands for the retrieval of the water isotope ratios for H216O, H218O, and HDO, quantified as mixing ratio of water vapour (w, ppmv), delta 18-O, and delta-D (permil). The data set for the Húsavik station is accompanied by automatic weather station data (air temperature, relative humidity, wind speed, wind direction, sea-level pressure) from the Icelandic weather service (vedur.is) for several nearby locations. For further details and figures for the vapour measurements, and the surface sample collection during the campaign, and processing thereafter, please read the attached documentation. This research is funded by the Research Council of Norway under the Sources of the Norwegian winter season snow pack constrained by stable water isotopes - SNOWPACE project (Project Nr. 262710) and the Facility for advanced isotopic research and monitoring of weather, climate and biogeochemical cycling (FARLAB) project (Project Nr. 245907).

Daily concatenated files of ceilometer cloud base height and aerosol profile data from Météo-France's Vaisala CL31 deployed at St Etienne, France. These data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide. The site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-07475. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.

Daily concatenated files of ceilometer cloud base height and aerosol profile data from Czech Hydrometeorological Institute (CHMI)'s Vaisala CL31 deployed at Lysahora, Czech Republic. These data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide. The site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20000-0-11787. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.

The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. This dataset contains wind profiler measurements.

These data are the University of Reading (Reading, UK) UR025.4 reanalysis produced by the Earth System Science Centre, and are used to support the work of the NERC (Natural Environmental Research Council) RAPID-WATCH (Rapid Climate Change-Will the Atlantic Thermohaline Circulation halt?) VALOR (VALue of the RAPID-WATCH Climate Change programme array) project. These data are retrieved missing files that could not be added to the original dataset due to being published with a DOI (http://dx.doi.org/10.5285/4bcfa3a4-c7ec-4414-863d-caeceb21f16f). They consist of global ocean and sea ice fields, with coverage at 1/4 deg lat x 1/4 deg lon, on 75 vertical levels, for the period from 1989 to 2010. These variables include monthly means of Temperature, Salinity, Currents, Sea Surface Height and Sea Ice Parameters, forced by ERA-Interim atmospheric variables with Data Assimilation of in-situ T,S profiles and satellite SST, Sea Level Anomalies, Temperature and Salinity profiles and satellite Sea Ice Concentration using the UK Met Office FOAM system. 5-day data also exist for all variables and daily data for some upper ocean variables may be available from the provider. These data were originally produced under the EU MyOcean project and have been validated against observations. They are also currently available through the MyOcean website.

Sky images collected by a JVC KYF55-BE digital camera over Chilbolton, Hampshire. The data were collected from 5th of July 1996 to the present.

Daily concatenated files of ceilometer cloud base height and aerosol profile data from Lund University's Vaisala CL51 deployed at Norunda, Sweden. These data were produced by the EUMETNET's E-PROFILE processing hub as part of the ceilometer and lidar network operated as part of the by EUMETNET members. This network covers most of Europe with additional sites worldwide. The site has a corresponding WMO Integrated Global Observing System (WIGOS) id: 0-20008-0-NOR. See online documentation for link to station details in the Observing Systems Capability Analysis and Review (OSCAR) Tool. EUMETNET is a grouping of 31 European National Meteorological Services that provides a framework to organise co-operative programmes between its Members in the various fields of basic meteorological activities. One such programme is the EUMETNET Profiling Programme: E-PROFILE. See EUMETNET page linked from this record for further details of EUMETNET's activities.

The Aerosol Direct Radiative Impact Experiment (ADRIEX) was a joint UK Met Office/Natural Environment Research Council (NERC)/UK Royal Society/University of Oslo project aiming at improving our understanding of the radiative effects of anthropogenic aerosol and gases (ozone and methane) in the troposphere. This dataset contains forecast trajectories computed using UTRAJ. The term “particle trajectory” describes the path of a point which is blown by a time dependent wind field (i.e. (u, v, w) as a function of (x, y, z, t)). Trajectories following the analysed wind field are described by their coordinates (e.g. longitude, latitude, pressure) at regularly spaced time intervals. “Domain filling” refers to calculations where the arrival points of back trajectories (or release points for forward trajectories) form a dense, regular grid in a specified volume. The term “reverse” is used to indicate that the particles are followed backwards in time. Back trajectories are assumed to arrive on a 3D grid consisting of a stack of horizontal grids (regular in longitude and latitude) on a range of pressure levels. Forward trajectories are assumed to depart from similar grids. The trajectory length (time before arrival for back trajectories) is denoted by the letter T. Other fields can also be recorded following the trajectories: for example, temperature, specific humidity or potential vorticity. These extra fields are described as “attributes” and will be denoted by the variable C. The change in the value of an attribute over the length of a trajectory is denoted by C(0) − C(T).

This dataset contains Global Navigation Satellite Systems (GNSS) and meteorological data from instruments at a static reference station at the summit (SNSU) of Snowdon Mountain Railway. The data were collected from 28th August 2011 to 16th October 2011 (50 days). Two instruments collected data from the summit including; Paroscientific Met 4 (ncl-met-4) and Leica GS10 GNSS (ncl-leica-gnss). The ncl-leica-gnss measured dual frequency GPS and GLONASS code and carrier phase satellite to receiver measurements, whilst the ncl-met-4 sensor recorded pressure and temperature.

Met Office high resolution (2 second) radiosonde data from the Dunkerswell station from November 1999. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.