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Dataset

 

Gridded daily Agricultural Burning Emission Inventory of Eastern China, 2012 - 2015, V0.0

Status: Completed
Online Status: ONLINE
Publication State: Citable
Publication Date: 2020-08-26
DOI Publication Date: 2020-08-26
Download Stats: last 12 months

Abstract

The Gridded daily Agricultural Burning Emission Inventory of Eastern China dataset contains a unique high Spatio-temporal resolution agricultural burning inventory for eastern China for the years 2012-2015.

The data was generated using twice daily fire radiative power (FRP) observations from the ‘small fire optimised’ VIIRS-IM FRP product, and combined with fire diurnal cycle information taken from the geostationary Himawari-8 satellite.

This dataset was designed to fully take into account small fires well below the MODIS burned area or active fire detection limit, focusing on dry matter burned (DMB) and emissions of CO2, CO, PM2.5 and black carbon. The fuel for these fires is waste straw and other agricultural residues. Information from a crop rotation map to classify the type of agricultural residue being burned at each observed location and time, in addition to an agricultural area land map was also incorporated in consideration of this.

Citable as:  Zhang, T.; de Jong, M.; Wooster, M.; Xu, W. (2020): Gridded daily Agricultural Burning Emission Inventory of Eastern China, 2012 - 2015, V0.0. Centre for Environmental Data Analysis, 26 August 2020. doi:10.5285/1d70803fab8f46ba983b730ede52421f. http://dx.doi.org/10.5285/1d70803fab8f46ba983b730ede52421f
Abbreviation: Not defined
Keywords: fire, emissions, Agricultural Burning, FRP, crop rotation

Details

Previous Info:
No news update for this record
Previously used record identifiers:
No related previous identifiers.
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: 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 was generated by Leverhulme Centre for Wildfires, King's College London; NERC National Centre for Earth Observation (NCEO). Data was provided to the Centre for Environmental Data Analysis (CEDA) for publication.

Data Quality:
Data was validated by the Kings College London project team
File Format:
NetCDF V4.0

Process overview

This dataset was generated by the computation detailed below.
Title Gridded daily Agricultural Burning Emission Inventory of Eastern China, V0.0, Computation
Abstract The data was generated using twice daily fire radiative power (FRP) observations from the ‘small fire optimised’ VIIRS-IM FRP product, and combined with fire diurnal cycle information taken from the geostationary Himawari-8 satellite. Information was incorporated from a crop rotation map data was generated from MIRCA2000 0.08o global monthly crop area dataset and an agricultural area land map which was generated from GlobeLand30 land cover product. These have been archived in the input data directory alongside the main data set. Further information on this data set and all input data sets can be found in the documentation section.
Input Description None
Output Description None
Software Reference None
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  • var_id: 03
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  • var_id: 05
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  • var_id: 08
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  • var_id: 09
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  • var_id: 10
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  • var_id: 11
  • units: unitless
  • var_id: 12
  • units: MW/m2
  • var_id: FRE
  • units: MW
  • var_id: FRPday
  • units: MW
  • var_id: FRPnig
  • units: km2
  • var_id: agrarea
  • units: km2
  • var_id: agricultural_land_area
  • units: unitless
  • var_id: agricultural_land_ratio
  • units: g/m2
  • var_id: bc
  • units: g/m2
  • var_id: bcdev
  • var_id: co
  • units: g/m2
  • units: g/m2
  • var_id: co2
  • units: g/m2
  • var_id: co2dev
  • units: g/m2
  • var_id: codev
  • units: kg/m2
  • var_id: drymatter
  • units: degree_north
  • var_id: lat
  • units: degree_east
  • var_id: lon
  • units: g/m2
  • var_id: pm25
  • units: g/m2
  • var_id: pm25dev
  • var_id: time

Co-ordinate Variables

Coverage
Temporal Range
Start time:
2012-02-01T00:00:00
End time:
2015-12-31T00:00:00
Geographic Extent

 
33.0000°
 
111.0000°
 
127.0000°
 
21.0000°