Dataset
Gross Primary Productivity, European Data Set (2009-2020), V1.0
Abstract
This dataset contains gridded daily Gross Primary Productivity (GPP) over Europe distributed on a regular latitude-longitude grid with a resolution of 0.05°x0.05° and time range from January 2009 to June 2020, inclusive.
Gross primary production (GPP) is the total amount of chemical energy or biomass that photosynthetic organisms create from sunlight in an ecosystem. The GPP data were generated using machine-learning emulators of GPP from the Joint UK Land Environment Simulator (JULES) combined with Earth Observation datasets (Land Surface Temperature (LST), Fraction of Photosynthetically Active Radiation (FAPAR), soil moisture, and land cover). Further information on the dataset can be found in the Data Product User Guide archived with the data.
The data were generated as a proof of concept for an innovative model-data fusion approach within the ESA EO4Society project ‘IMITATE’ (Introducing Machine learning Into Targeted Analysis for Terrestrial Ecosystems).
The dataset was produced by a team of scientists from the National Centre for Earth Observation with support from the UK Met Office Hadley Centre.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence(s): http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/ When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). |
| Data Quality: |
The data were validated by the University of Leicester project team. The GPP dataset was generated using the JULES emulator and the EO inputs, were validated against a number of FLUXNET sites and two existing GPP EO products (see Table 3). Some examples of how the datasets compare can be seen in Figures Figure 4 and Figure 5 data product user guide archived with the data.
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| File Format: |
NetCDF
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Related Documents
Process overview
| Title | Gross Primary Productivity, European Data Set (2009-2020), V1.0 |
| Abstract | This dataset was generated following a two-step process. First, a machine-learning emulator with 18 years of JULES data (2000-2018) was trained. The emulator was evaluated and validated using data from 2019 and 2020, respectively. The input features for the emulator are: surface downward short-wave (SW) radiation, minimum and maximum daily land surface temperature, Fraction of Photosynthetically Active Radiation (FAPAR), soil moisture content of the top layer, and a soil moisture availability factor. These inputs are listed in Table 1 of the data product user guide. The output of the emulator is GPP in kg m-2 s-1. The project developed 13 emulators, which correspond to the 13 different Plant Functional Types (PFTs) from JULES (listed in Table 2), where each emulator has inputs and output specific to a particular PFT. The outputs of all 13 emulators are then combined using the PFT fraction to provide the total gridbox GPP. The second step involved running the emulators using inputs from equivalent EO datasets to generate the final GPP dataset. The EO datasets used in this project are listed in Table 3 of the data product user guide, including two existing GPP datasets used for comparison to validate the product. There are two exceptions of inputs that do not come from EO, but we take them from JULES: surface downward SW radiation, which is part of the TRENDY forcing data used to drive JULES, and the soil moisture availability factor (fsmc), which is generated by JULES and does not currently have an EO equivalent. Further work is required to replace fsmc with another related variable that is observable. |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_gb
- long_name: gross primary productivity (gridbox)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_0
- long_name: gross primary productivity (pft 0)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_1
- long_name: gross primary productivity (pft 1)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_10
- long_name: gross primary productivity (pft 10)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_11
- long_name: gross primary productivity (pft 11)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_12
- long_name: gross primary productivity (pft 12)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_2
- long_name: gross primary productivity (pft 2)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_3
- long_name: gross primary productivity (pft 3)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_4
- long_name: gross primary productivity (pft 4)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_5
- long_name: gross primary productivity (pft 5)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_6
- long_name: gross primary productivity (pft 6)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_7
- long_name: gross primary productivity (pft 7)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_8
- long_name: gross primary productivity (pft 8)
- units: kg m-2 s-1
- standard_name: gross_primary_productivity_of_carbon
- var_id: gpp_9
- long_name: gross primary productivity (pft 9)
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- var_id: lat
- long_name: latitude_coordinates
- units: degrees_east
- standard_name: longitude
- var_id: lon
- long_name: longitude_coordinates
- standard_name: time
- var_id: time
- units: days
- long_name: reference time of file
Temporal Range
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Geographic Extent
70.7250° |
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39.9250° |
-9.7250° |
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30.0250° |