In-situ airborne observations by the DO228-212 /D-CFFU - DLR aircraft aircraft for HiLBilly- Hyperspectral imaging of lake biogeochemical properties in optically-complex systems (HILBILLY).

This dataset collection contains momentum budget and snow removal experiment model data from Dudh Koshi Valley in the Nepalese Himalaya. The Weather Research and Forecasting (WRF) model was run for two months, July 2013 and December 2014, to investigate the momentum budget components of the winds in the Dudh Koshi Valley. The two runs were repeated with the permanent snow and ice changed to rock. This data was collected as part of the Dynamical drivers of the local wind regime in a Himalayan valley project (NE/L002507/1).

This collection contains version 3.1 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies. Data products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided. This dataset collection refers to the Version 3.1 data products held in the CEDA archive covering the period 1997-2016. Links to the individual datasets that make up this collection are given in the record below.

Short event case studies for UK waters produced by the Met Office for UK Climate Projections 2018 (UKCP2018). Data is available at 6-minute and 15-minute temporal resolution.

This project was funded by the Natural Environment Research Council (NERC) with the grant reference - NE/I021012/1 - and was led by Dr Christopher Holloway (University of Reading). This dataset collection contains MetUM model data and observed convective aggregation data for the Tropics. This project aimed to clearly identify processes important for self-aggregation of convection in idealized models and then to test whether these processes, or different processes, are active in convective organization in nature. The second part of this goal was an open question in the field, and this fellowship has the potential to connect a rapidly expanding theoretical research area with ongoing efforts to improve the understanding and prediction of tropical variability. The focus on the Unified Model benefited weather and climate prediction in the UK by exchanging ideas with Met Office scientists who were directly involved in testing and improving the model.

In-situ airborne observations by the FAAM BAE-146 aircraft for Measurements of Arctic Clouds, Snow, and Sea Ice nearby the Marginal Ice ZonE (MACSSIMIZE).

This dataset collection contains 0.25 degree resolution 3-hourly and daily global Climate Prediction Center morphing method (CMORPH) precipitation data. CMORPH is the CPC Morphing technique which derives precipitation estimates from low orbiter satellite microwave observations.

The High-End cLimate Impacts and eXtremes (HELIX) project has calculated fire danger for the period 2061 to 2070 under two different climate change scenarios to assess the change in fire danger at 1.5 degrees compared to 2 degrees Celsius. The two fire indices (the McArthur Forest Fire Danger Index (FFDI); and the Angström Index) were based on output from the Earth System Model HadGEM2-ES (Collins et al, 2011; Jones et al, 2011) at a spatial resolution of 1.875° x 1.25°, driven by concentrations following two experiments. The first was the strong mitigation scenario RCP2.6 (Representation Concentration Pathway) for the 2 degree change used within the World Climate Research Programme's (WCRP) Climate Modelling Intercomparison Project phase 5 (CMIP5). The second was a new experiment set up using a new run of RCP2.6+SRM initialised at 2020 and run to the end of the 21st century with SO₂ injected continuously and uniformly into the stratosphere at a height of 16-25 km in 4 member ensemble simulations. In the model, the SO₂ oxidises to form a sulphate aerosol which reflects incoming solar radiation and creates a cooling effect on the climate, simulating the effect of SRM in order to keep climate warming to 1.5°C.

Probabalistic climate projections for the UK from 1961-2100 produced by the Met Office for UK Climate Projections 2018 (UKCP18). The data is available on a 25km OSGB grid.

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