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Global

19 record(s)
 
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From 1 - 10 / 19
  • Bioclimatic envelopes for over 200,000 plant species. The data comprises a single csv file, containing the average value of the climate envelope per species for each of the following variables: Minimum temperature (K), Maximum temperature (K), Average temperature (K), Temperature range (K), Soil temperature level 1 (K), Soil temperature level 2 (K), Soil temperature level 3 (K), Soil temperature level 4 (K), Soil water volume level 1 (m^3 / m^3), Soil water volume level 2 (m^3 / m^3), Soil water volume level 3 (m^3 / m^3), Soil water volume level 4 (m^3 / m^3), Solar radiation (J / m^2), Total precipitation (mm). Also included is taxonomic information for each species, including the phylum, class, order, family and genus, as well as the number of occurrence records that informed the envelope. Full details about this dataset can be found at https://doi.org/10.5285/ca339c86-3674-4030-b891-35326e71141e

  • 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.

  • [THIS DATASET HAS BEEN WITHDRAWN]. Modelled average percentage yield loss due to ground-level ozone pollution (per 1 degree by 1 degree grid cell) are presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum) for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for yield loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop yield losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is one of the first steps towards mitigation of the problem. The yield loss calculations were done as part of the NERC funded SUNRISE project (NEC06476). Full details about this dataset can be found at https://doi.org/10.5285/181a7dd5-0fd4-482a-afce-0fa6875b5fb3

  • 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.

  • 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.

  • 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

  • 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) 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

  • 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 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.