The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provides 30-day forward and backward Lagrangian trajectories based on surface velocities from an ocean reanalysis. 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 1998-2018 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA package (6-hour time step) as described in Nencioli et al., 2018. Please see the documentation section below for further information.

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. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA (6-hour time step - part of ) as described in Nencioli et al., 2018 and SPASSO (Software package for and adaptive satellite-based sampling for ocean graphic cruises containing LAMTA) software user guide. Please see the documentation section below for further information. Version 2.2 is a higher resolution version of V2.0 and also has double value for time variables to permit access via THREDDS

The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provides 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 1998-2018 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA (6-hour time step - part of ) as described in Nencioli et al., 2018 and SPASSO (Software package for and adaptive satellite-based sampling for ocean graphic cruises containing LAMTA) software user guide. Please see the documentation section below for further information.

A global configuration of the Met Office Unified Model provides the most accurate short range deterministic forecast by any national meteorological service covering a six day period. With a resolution of approximately 0.234 x 0.153 degrees, it is able to produce selected hourly data covering the first 48 hours at surface level and at standard pressure levels twice a day. The model’s initial state is kept close to the real atmosphere using hybrid 4D-Var data assimilation. This dataset contains model data from the Met Office Unified Model (UM) operational Global Numerical Weather Prediction (NWP) model. The archive currently holds data from April 2016 onwards but data will be back populated for earlier years.

The National Centre for Earth Observation (NCEO) Long Term Science Single Centre (LTSS) Global Ocean Lagrangian Trajectories (OLTraj) provides 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 the year 2018 with a daily temporal resolution. The trajectories were generated starting from zonal and meridional model velocity fields that were integrated using the LAMTA (6-hour time step - part of ) as described in Nencioli et al., 2018 and SPASSO (Software package for and adaptive satellite-based sampling for ocean graphic cruises containing LAMTA) software user guide. Please see the documentation section below for further information. Version 2.1 has the same resolution as version V2.0 but has double value for time variables to permit access via THREDDS

This data represents the probabilistic climate projections component of the past (observed) and future climate scenario projections data, produced as part of the UK Climate Projections 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. The data represents mean global temperature anomalies with respect to the baseline periods 1981-2000, 1961-1990 or 1981-2010, and cover the period 1861 to 2100.

Global climate model runs from 1900-2100 produced by the Met Office for UK Climate Projections 2018 (UKCP18) using the HadGEM3 climate model. The data is available at daily and monthly temporal resolutions on a N216 Gaussian grid which has a 60km resolution over the UK.

A global configuration of the Met Office Unified Model provides the most accurate short range deterministic forecast by any national meteorological service covering a six day period. With a resolution of approximately 0.234 x 0.153 degrees, it is able to produce selected hourly data covering the first 48 hours at surface level and at standard pressure levels twice a day. The model’s initial state is kept close to the real atmosphere using hybrid 4D-Var data assimilation. This dataset collection contains model data from the Met Office Unified Model (UM) operational Global Numerical Weather Prediction (NWP) model. The archive currently holds data from April 2016 onwards but data will be back populated for earlier years.

Global climate model projections for the CMIP5 RCP8.5 emissions scenario produced as part of the UK Climate Projection 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. The set of 28 projections is a combination of 15 coupled model simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5 contributed by different climate modelling centres. This data set provides information on changes in climate across the entire globe from 1900 to 2100 for RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across many climate variables at different times and spatial locations. This dataset contains regional averages for 16 administrative regions across the UK.

Global climate model projections for the CMIP5 RCP8.5 emissions scenario produced as part of the UK Climate Projection 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. The set of 28 projections is a combination of 15 coupled model simulations produced by the Met Office Hadley Centre, and 13 coupled simulations from CMIP5 contributed by different climate modelling centres. This data set provides information on changes in climate across the entire globe from 1900 to 2100 for RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across many climate variables at different times and spatial locations. This dataset contains regional averages for 23 river basin regions across the UK.