Data were collected under the NERC funded project - The role of land-use change on influencing mountain climate on Kilimanjaro, East Africa (NE/J013366/1) - lead by Dr Nicholas Pepin (University of Portsmouth) which investigated the influence of land-use on surface climate (temperature and moisture availability) on Mount Kilimanjaro in Africa. Temperature measurements were taken at hourly intervals at 23 stations on Mount Kilimanjaro between September 2012 and September 2015. Specific station locations (elevation and lat/long) are stated in the data and are ordered in a transect across the mountain from South-West over the top to North-East. Two of the stations have both ground level and air level sensors (hence there are 25 readings not 23). Additional information about station locations and missing data can be found in a PDF on the CEDA archive.

The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises images of Absorbing Aerosol Index (AAI) products, using the Multi-Sensor UVAI algorithm, Version 1.5.7. Images are available for monthly and climatology products. For further details about these data products please see the linked documentation.

A global configuration provides the large-scale weather forecast and also supports the nested higher resolution regional models with boundary data. More detailed short-range forecasts are provided by these high-resolution models which are able to represent certain atmospheric processes more accurately, as well as having a more detailed representation of surface features such as coastlines and orography. This dataset contains UK atmospheric high resolution data from the UK Met Office operational NWP (Numerical Weather Prediction) Unified Model (UM). A post-processed regional downscaled configuration of the Unified Model, covering the UK and Ireland, is used with hourly forecast data covering the period T+0 to T+120 hours is used. With a resolution of approximately 0.018 degrees are able to produce hourly data at surface level and at standard pressure levels up to eight times a day. The model’s initial state is kept close to the real atmosphere using incremental 3D-Var data assimilation. This archive currently holds data from April 2016 onwards. An issue has been identified with the representation of the Transverse Mercator projection in the GRIB files in which some of the projection metadata values were set incorrectly. This error has been corrected in all data since 15th Jan 2020. The values that were corrected are as follows: Up to 15/01/2020: Source of Grid Definition: 12 Latitude of True Origin: 49 Longitude of True Origin: -2 From 15/01/2020: Source of Grid Definition: 0 Latitude of True Origin: 49.0e06 Longitude of True Origin: -2.0e06

UTLS-OZONE was a NERC directed mode programme funding projects to study the upper troposphere and lower stratosphere. The particular emphasis was on the processes determining the distribution of ozone and any subsequent climate impacts. Two UTLS Ozone projects were based on airborne campaigns using the FAAM aircraft, namely ITOP-UK and CIRRUS. This dataset contains ECMWF meteorological images.

Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for Interaction of Convective Organization and Monsoon Precipitation, Atmosphere, Surface and Sea (INCOMPASS) project.

The ESA Ocean Colour CCI project has produced global level 3 binned multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies. This dataset contains their Version 2.0 chlorophyll-a product (in mg/m3) on a sinusoidal projection at 4 km spatial resolution and at a number of time resolutions (daily, 5-day, 8-day and monthly composites). Note, the chlorophyll-a data are also included in the 'All Products' dataset. This data product is on a sinusoidal equal-area grid projection, matching the NASA standard level 3 binned projection. The default number of latitude rows is 4320, which results in a vertical bin cell size of approximately 4 km. The number of longitude columns varies according to the latitude, which permits the equal area property. Unlike the NASA format, where the bin cells that do not contain any data are omitted, the CCI format retains all cells and simply marks empty cells with a NetCDF fill value. (A separate dataset is also available for data on a geographic projection.) Please note, this dataset has been superseded. Later versions of the data are now available.

Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Volcanic and Atmospheric Near- to far-field Analysis of plumes Helping Interpretation and Modelling (VANAHEIM) project.

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 ECMWF Boundary layer model data from a ECMWF Computer.

Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft collected for Volcanic and Atmospheric Near- to far-field Analysis of plumes Helping Interpretation and Modelling (VANAHEIM) project.

This dataset comprises gridded limb ozone monthly zonal mean profiles from the ACE FTS instrument on the SCISAT satellite. The data are zonal mean time series (10° latitude bin) and include uncertainty/variability of the Monthly Zonal Mean. The monthly zonal mean (MZM) data set provides ozone profiles averaged in 10° latitude zones from 90°S to 90°N, for each month. The monthly zonal mean data are structured into yearly netcdf files, for each instrument separately. The filename indicates the instrument and the year. For example, the file “ESACCI-OZONE-L3-LP-ACE_FTS_SCISAT-MZM-2008-fv0001.nc” contains monthly zonal mean data for ACE in 2008.