No data was collected during this flight (VIP Demonstration).

The Global Ocean Surface Temperature Atlas Plus (GOSTAplus) contains maps of Sea Surface Temperature (SST) climatologies and anomalies, Night Marine Air temperature climatologies and anomalies and Sea Ice coverage spanning the period 1851-1995. Dataset includes gridded, global SSTs from 1951-1990 and Sea Ice coverage from 1903 to 1994. The data are provided by the Met Office. Updated version of some data also available on request.

The Global Ocean Surface Temperature Atlas Plus (GOSTAplus) contains maps of Sea Surface Temperature (SST) climatologies and anomalies, Night Marine Air temperature climatologies and anomalies and Sea Ice coverage spanning the period 1851-1995. Dataset includes gridded, global SSTs from 1951-1990 and Sea Ice coverage from 1903 to 1994. The data are provided by the Met Office. Updated version of some data also available on request.

The Global Ocean Surface Temperature Atlas Plus (GOSTAplus) contains maps of Sea Surface Temperature (SST) climatologies and anomalies, Night Marine Air temperature climatologies and anomalies and Sea Ice coverage spanning the period 1851-1995. Dataset includes gridded, global SSTs from 1951-1990 and Sea Ice coverage from 1903 to 1994. The data are provided by the Met Office. Updated version of some data also available on request.

This dataset collection contains manual and instrumented snow measurements collected at Camp Raven, located on the southwest sector of the Greenland Ice Sheet, during May and August 2024. The measurements were made as part of the ICECAPS-MELT (Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation - MEasurements along Lagrangian Transects) project, which extends the long-term ICECAPS program to include surface and snowpack processes relevant to Greenland's mass balance and surface energy budget. These data provide detailed information on the stratigraphy and physical properties of the near-surface snowpack, offering insight into seasonal evolution and melt-related transformations. The dataset collection includes: - Manual snow density - from 1-m snow profiles (two profiles in May, one in August). - Permittivity-based snow density - from a dielectric probe applied to the same profiles (two profiles in May, one in August). - Manual shear strength - from mechanical shear strength measurements in 1-m profiles (two profiles in May, one in August). - Snow specific surface area (SSA) - from field optical methods (two profiles in May, one in August). - Manual snow properties - layer identification, hand hardness, and snow grain size and habit (two profiles in May, one in August). Together, these datasets provide a comprehensive view of snow physical properties across the early melt season (May) and peak summer (August), allowing comparisons of density, strength, and microstructural characteristics. The Camp Raven observations complement the broader ICECAPS-MELT suite of measurements by linking surface meteorological and radiative conditions with snowpack evolution on the southwestern Greenland Ice Sheet. This work was US-led, US-UK collaboration co-funded by the US National Science Foundation and the UK National Environment Research Council.

In-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft for HyMountEcos- Hyperspectral Remote Sensing for Mountain Ecosystems (HYMOUNTECOS).

ACID-PRUF was a three year NERC directed programme that investigated the complex interaction of aerosols and clouds. The overall aims of ACID-PRUF were to reduce the uncertainty in the radiative forcing associated with the aerosol indirect effects though a targeted laboratory and modelling programme. This dataset collection contains measurements of freezing fraction of water solution droplets-solute and suspended matter during the immersion freezing of pollen extracts (birch pollen, Betula fontinalis occidentalis, Sigma-Aldrich, P6895-1G), with a new cold electrodynamic balance (CEDB).

The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.

The Cambridge Chemical Assimilation Data was produced as part of the Assimilation of Remote-sensed Data for Applications in the Atmospheric and Oceanographic Sciences (ARDAAOS) Natural Environment Research Council (NERC) thematic programme. It presents Chemical assimilation data from multiple sources, which is processed into a common file format making it easy to compare data from the various field campaigns and satellite missions.

The data on this 2 CD set was derived from the the first Along-Track Scanning Radiometer (ATSR-1) which was a four-channel, dual-view, infra-red radiometer capable of measuring Sea Surface Temperature to very high accuracy (better the 0.3K). The instrument was launched on the ESA remote sensing satellite (ERS-1) in July 1991. The dataset consists of two types of data product: (a) Spatially averaged sea surface temperatures (ASSTs) and (b) Time averaged global maps. The ASSTs are provided daily in half-degree cells together with with temporal and positional confidence information. The time-averaged global maps are provided at half degree resolution averaged over 5 day and 1 month periods. The data on the CDs cover the four year period from August 1991 to July 1995 inclusive. The Principal Investigator for ATSR-1 is Chris Mutlow at the STFC Rutherford Appleton Laboratory (RAL).