This dataset provides global (between 60 S and 80 N) vegetation height (or object height) frequency distributions per half by half degree longitude and latitude derived from ICESAT Geoscience Laser Altimeter System (GLAS) waveform data. This version 1.1 data was produced as part of the National Centre for Earth Observation (NCEO).
Region: Global
GOME: Vertical Profiles of Ozone and other Trace Gases Ozone profiles Version 2.1
This dataset contains version 2.1 ozone profiles derived by the Remote Sensing Group (RSG) at the STFC Rutherford Appleton Laboratory, Oxfordshire, UK, as part of the National Centre for Earth Observation (NCEO). These were derived from radiances measured by the Global Ozone Monitoring Experiment (GOME) on-board ERS-2. The collection also includes total column ozone, column BrO, and column NO2 as well as cloud heights derived from the Along Track Scanning Radiometer (ATSR), which are included to aid interpretation of the ozone profiles.
Global Ocean Lagrangian Trajectories based on AVISO velocities, v2.2
The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provide 30-day forward and backward Lagrangian trajectories based on AVISO (Satellite Altimetry Data project) surface velocities. Each trajectory represents the path that a water mass would move along starting at a given pixel and a given day. OLTraj can be thus used to implement analyses of oceanic data in a Lagrangian framework. The purpose of OLTraj is to allow non-specialists to conduct Lagrangian analyses of surface ocean data. The dataset has global coverage and spans 1998-2019 with a daily temporal resolution.
Retrieved sulfur dioxide column amounts and heights from the IASI instrument v1.0
This dataset was used to study the large plume of SO2 from the April 2021 eruption of La Soufrière on St Vincent in the Eastern Caribbean. The data has been produced by the Earth Observation Data Group at the University of Oxford, as part of the NERC Centre for the Observation and Modelling of Earthquakes, Volcanoes and Tectonics (COMET).
GloboLakes: high-resolution global limnology dataset V1.0
These data are high-resolution datasets related to in-land water for limnology (study of in-land waters) and remote sensing applications. This includes: distance-to-land, distance-to-water, water-body identifier and lake-centre co-ordinates on a high-resolution grid, produced by the Department of Meteorology at the University of Reading. Data was derived using the ESA CCI Land Cover Map. The lake identifiers (IDs) are from the Global Lakes and Wetlands Database (GLWD), and lake centres are defined for in-land waters for which GLWD IDs were determined. The new datasets therefore link recent lake/reservoir/wetlands extent to the GLWD, together with a set of coordinates which locates unambiguously the water bodies in the database.
Cloud Index retrievals from MIPAS ENVISAT L1B using MIPclouds algorithm
This data set contains retrievals from Michelson Interferometer for Passive Atmospheric Sounding on Envisat (MIPAS-ENVISAT) cloud and aerosol and contains information on derived cloud-top height (km), cloud-top temperature (K), cloud extinction (cm-1), with uncertainties. It also includes the measured radiance in the three cloud microwindow bands (832.0-834.4 cm-1, 1232.3-1234.4 cm-1, 1973.0-1983.0 cm-1), with noise equivalent spectral radiance values. Cloud index values are used to distinguish different clouds types based on the index value.
Solar-induced Chlorophyll Fluorescence from GOSAT’s TANSO-FTS by the University of Leicester, V3.0
Solar-induced Chlorophyll Fluorescence (SIF) data created from the Greenhouse Gas Observing Satellite (GOSAT) Level 1B data using an adapted version of the University of Leicester Full-Physics retrieval scheme (UoL-FP). These dataset contains both Level 2 and Level 3 S-polarised SIF. The Level 2 data are in daily files and are not averaged, whilst the Level 3 data are averaged spatially and temporally on both a monthly and weekly timescale.
NCEO Particulate Organic Carbon estimates from quality-controlled BGC-Argo data, V1.0
This is an in-situ dataset of estimates of particulate organic carbon (POC) based on all the current (2021-09-22) profiles of optical backscattering (BBP) collected by (BGC)Biogeochemical-Argo floats. The dataset covers the upper 2000 dbars of the water column (continuous profiles have been binned in 41 vertical bins). The dataset was produced by first devising a new set of automatic tests to quality control the large BBP dataset available (>31M records over >130k profiles). The QCed BBP was then converted into POC using an empirical algorithm (average of the POC: BBP slopes of Cetinic et al., 2012).
Improved high-resolution ocean reanalysis of Met Office GloSea5 data using the simple smoother algorithm
The dataset is a Global ¼° 0-2000m ocean reanalysis for June 2016, providing temperature and salinity data. The product is based on Met Office GloSea5 reanalysis (Blockley et al. 2014), with the simple smoother algorithm applied to improve the original reanalysis. The simple smoother is designed for smooth data adjustments in sequentially generated reanalysis products by utilizing knowledge of future assimilation increments. A decay time parameter is applied to the smoother increments to account for memory decay timescales in the ocean.
RAL extended Infrared Microwave Sounder (IMS) retrievals of atmospheric and surface properties: subset of four selected months in 2018 from Suomi-NPP, v1
The Rutherford Appleton Laboratory (RAL) extended Infrared Microwave Sounder (IMS) data set retrieves vertical profiles of temperature, water vapour (H2O), ozone (O3), carbon monoxide (CO), together with cloud optical depth and effective radius and column amounds of minor gases, dust and sulfuric acid aerosol optical depth. The scheme also provides surface temperature and surface spectral emissivity spanning infrared and microwave.
Contact: Richard Siddans (NCEO/RAL)