PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output for the "primWP5-amv-neg" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.

PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output for the "primWP5-amv-pos" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.

PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-HR model output for the "primWP5-amv-pos" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.

PRIMAVERA Project data from the National Centre for Atmospheric Science (NCAS) MetUM-GOML2-LR model output for the "primWP5-amv-neg" experiment. These are available at the following frequencies: 6hrPlevPt, Amon, LImon, Lmon and day. The runs included the ensemble members: r10i1p1f1, r11i1p1f1, r12i1p1f1, r13i1p1f1, r14i1p1f1, r15i1p1f1, r1i1p1f1, r2i1p1f1, r3i1p1f1, r4i1p1f1, r5i1p1f1, r6i1p1f1, r7i1p1f1, r8i1p1f1 and r9i1p1f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.

The Icelandic Volcano, Eyjafjallajokull, started erupting on 14th April 2010. The volcanic ash cloud produced covered much of Northern Europe for several weeks causing extensive disruption to air travel. The UK and European atmospheric communities had many instruments - both airborne and ground-based, remote sensing and in-situ - taking measurements of the ash cloud throughout this period. This dataset contains a variety of satellite products including dust and sulphur dioxide (SO2) retrievals.

The Icelandic Volcano, Eyjafjallajokull, started erupting on 14th April 2010. The volcanic ash cloud produced covered much of Northern Europe for several weeks causing extensive disruption to air travel. The UK and European atmospheric communities had many instruments - both airborne and ground-based, remote sensing and in-situ - taking measurements of the ash cloud throughout this period. This dataset contains images from Aberystwyth elight and water-vapour lidars, FGAM lidar situated at Cardington and Salford Urban Built-Environment Research Base lidar. Ash was seen frequently over Capel Dewi and Cardington during the periods 13th - 23rd April 2010 and 11th - 17th May. The ash tended to occur in single, narrow, uniform layers during the first period but in multiple, thicker, patchy layers during the second period. Work has begun on trying to determine the properties of the ash from the lidar observations. A comparison of the Raman lidar returns at 355 and 387 nm gives the lidar (optical extinction to backscatter) ratio. The unexpectedly (and controversially) large mean values for the April period (182) suggest that the ash particles were much larger and darker than those associated with eruptions of Mount Etna (mean lidar ratio values of 55). DK confirmed that similarly large values were found for observations made by an airborne lidar system. The ultimate aim of this type of work is to be able to define the ash source function, which is required to initiate the dispersion model. For example, how much mass was ejected and to what heights? Moreover, how did the ash particles behave one they are airborne? For example, how quickly, did they start to sediment? DK clarified that high pressure over the British Isles appeared to be the driving force which caused the ash to enter the BL - not sedimentation. In order to improve the interpretation of remote sensing data, more will need to be known about the properties of the ash particles, e.g. their complex refractive index. It may be necessary to improve the lidar scattering models for this type of particle, e.g. to encompass Mie scattering.

The UK's Natural Environment Research Council's (NERC) National Centre for Atmospheric Sciences (NCAS) operates a suite of instrumentation to monitor the atmospheric dynamics and composition of the atmosphere. This dataset brings together all the long term routine observations made by NCAS instruments covering surface based instruments as well as remote sensing instruments such as radars and lidars. Some of the instruments may also be deployed elsewhere on field campaigns, for which the data will be available under the associated field campaign dataset. Links are also available to pages describing the instruments from which links to all data from that particular instrument can be found.

The Emissions around the M25 motorway (EM25) campaign took place over the megacity of London in the United Kingdom in June 2009 with the aim of characterising trace gas and aerosol composition and properties entering and emitted from the urban region. It featured two mobile platforms, the UK BAe-146 Facility for Airborne Atmospheric Measurements (FAAM) research aircraft and a ground-based mobile lidar van, both travelling in circuits around London, roughly following the path of the M25 motorway circling the city. This dataset collection contains atmospheric airborne and insitu measurements.

This dataset collection brings together data from instruments deployed within the UK's National Centre for Atmospheric Sciences's (NCAS) Atmospheric Measurements Facility (AMF). The AMF facilitates easy access to a wide range of quality assured data products and services as well as access to specialist instrumentation for ground based and airborne observation of the atmosphere, observatories, platforms, and laboratories, operated by dedicated facility Instrument Scientists. In addition to campaign deployments covered by this collection AMF also operates a number of long-term instruments which can be found under the NCAS long term observations dataset collection. This collection also brings together data from the AMF instruments when they were operated before being part of AMF. As such some datasets will refer to the instruments' former designations.

Data from observations made at the The Cape Verde Atmospheric Observatory (16.848N, 24.871W) which exists to advance understanding of climatically significant interactions between the atmosphere and ocean and to provide a regional focal point and long-term data. The observatory is based on Calhau Island of São Vicente, Cape Verde in the tropical Eastern North Atlantic Ocean, a region which is data poor but plays a key role in atmosphere-ocean interactions of climate-related and biogeochemical parameters including greenhouse gases. It is an open-ocean site that is representative of a region likely to be sensitive to future climate change, and is minimally influenced by local effects and intermittent continental pollution. The dataset contains mixing ratio measurements of OH and HO2 from University of Leeds.