Soil Moisture data (version 04.5) from the European Space Agency's (ESA) Soil Moisture Climate Change Initiative (CCI) project. This dataset collection contains three surface soil moisture datasets, alongside ancilliary data products. The ACTIVE and PASSIVE products have been created by fusing satellite scatterometer and radiometer soil moisture products respectively. In the case of the ACTIVE product, these have been derived from the AMI-WS and ASCAT satellite instruments and for the PASSIVE product from the satellite instruments SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2 and SMOS. The COMBINED product is generated from the Level 2 active and passive instruments.. The homogenized and merged products present a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. The products are provided as global daily images, in NetCDF-4 classic file format, the PASSIVE and COMBINED products covering the period (yyyy-mm-dd) 1978-11-01 to 2018-12-31 and the ACTIVE product covering 1991-08-05 to 2018-12-31. The soil moisture data for the PASSIVE and the COMBINED product are provided in volumetric units [m3 m-3], while the ACTIVE soil moisture data are expressed in percent of saturation [%]. For information regarding the theoretical and algorithmic base of the datasets, please see the Algorithm Theoretical Baseline Document (ATBD). Other additional documentation and information documentation relating to the datasets can also be found on the CCI Soil Moisture project web site or in the Product Specification Document. The data set should be cited using the all of the following references: 1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019 2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001 3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the East Asia Domain (EAS) produced by the Met Office Hadley Centre. The CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.

This dataset collection contains Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids and Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data. This experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere.

Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Central Asia Domain (CAS) produced by the Met Office Hadley Centre. The CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.

Midas-open is the open data version of the Met Office Integrated Data Archive System (MIDAS) for land surface station data (1853 – present). It contains land surface observations data from the Met Office station network that have been designated as public sector information and provided under an Open Government Licence. Midas-open is a subset of the fuller Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations Data (1853-current), containing only UK mainland land surface observations owned or operated by Met Office. Currently this represents approximately 95% of available daily temperature and weather observations, 83% of hourly weather data, and 13% of daily rainfall within the full MIDAS collection. A large proportion of the UK raingauge observing network is operated by other agencies so currently excluded from the Midas-open set. It does not supersede the full MIDAS collection also archived at CEDA. MIDAS Open comprises of hourly and daily weather measurements and observations of parameters relating to temperature, rainfall, sunshine, radiation, wind and weather observations such as present weather codes, cloud cover, snow etc. This dataset collection is updated annually in a delayed mode to ensure that data acquisition and quality control procedures have all been completed. Data are available from 1853 or later years, depending on the data in question. Note: not all sites operated for the entire date span; some sites were opened in later years, whilst others were closed in subsequent years. Each version of the dataset will include data for a full year upto around the 12 months previous to the year-month in the version of the dataset (e.g. v201901 included data up until the end of 2017).

In-situ airborne observations by the FAAM BAE-146 aircraft for HYVIC FAAM Aircraft Project (HyVic).

Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the North America Domain (NAM) produced by the Met Office Hadley Centre. The CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.

Co-Ordinated Regional Downscaling Experiment (CORDEX) data for the Antarctica Domain (ANT) produced by the Met Office Hadley Centre. The CORDEX program is sponsored by the World Climate Research Program (WCRP) to organise an internationally coordinated framework to produce improved regional climate change projections for all land regions world-wide. The CORDEX-results will serve as input for climate change impact and adaptation studies.

This dataset contains the input data (initial conditions, boundary conditions, initial perturbations) for Met Office Unified Model simulations performed during the PRESTO (PREcipitation STructures over Orography) project. It also contains the 2D and 3D output files from these simulations. The PRESTO project was funded by the Natural Environment Research Council (NERC) with the grant references - NE/I024984/1 and NE/I026545/1 - led by Professor Suzanne Gray (University of Reading) and Professor David Schultz (University of Manchester). PRESTO provided a leap forward in the understanding and prediction of quasi-stationary orographic convection in the UK and beyond. This was achieved through an intensive climatological analysis over several regions of the globe where continuous radar data was available, which identified the environmental conditions that support the bands and their characteristic locations and morphologies. Complementary high-resolution numerical simulations pinpointed the underlying mechanisms behind the bands and their predictability in numerical weather prediction models. This work provides positive impacts for the forecasting community, general public, and other academics in the field. Forecasters benefit from the identification of simple diagnostics that can be used operationally to predict these events based on available model forecasts and/or upstream soundings. A series of activities were used to directly engage with forecasters to effectively disseminate our findings. The public benefit from this improved forecasting of potentially hazardous precipitation events. The academic community benefit from the advanced physical understanding (which was disseminated through conferences, workshops, and peer-reviewed publications) and the numerous international collaborations associated with this project.

This dataset contains No2, NH3 air quality data measurements taken in from Mukuru in Nairobi using passive samplers. This data was taken as part of the NERC funded project Taking forward the United Nations Environment Assembly (UNEA) resolution: Pilot to determine the air quality drivers for Sub-Saharan Africa (NE/P008453/1). This pilot project, AQD-Nairobi, was designed to integrate low and high temporal resolution low-cost air quality (AQ) measurements to determine AQ drivers in Nairobi and be an exemplar scientific study for sub-Saharan Africa.