Whole-farm GHG estimation and environmental diagnostics platform – COMET-Global

The system development will leverage an existing comprehensive web-based tool, COMET-Farm, operational in the US. For implementing the system outside of the US, project partners will assemble geospatially-reference data (climate, soil, land management, livestocks), from existing sources in their countries, that are needed as driving variables for the emission source models imbedded in the system (DayCent, RothC or ECOSSE).
Experimental data for each country conditions will also be compiled by project partners (INRA Infosol & UMR Eco&Sols in France) for use in testing and validation.

The «COMET-Global« system will be web-based, free and accessible worldwide by anyone having an internet connection, and built on advance methods. The system will be based on an existing US-based tool, COMET-Farm (http://cometfarm.nrel.colostate.edu/) which, together with our European and Australian partners, will be adapted for use in their countries. “COMET-Global” will run in real-time and be flexible enough so that any user can set up the tool according to his or her needs and the information available. The tool will not require any special knowledge of greenhouse gas emission processes.

The system could be tested and adapted to other countries outside the main geographic scope of the project when data on climate, soil and land-use are available.

awaiting

Access to reliable and readily available estimates of the consequence of different land use and
management practices on greenhouse gas (GHG) emissions is a prerequisite for successful
implementation of land use-based GHG mitigation strategies. Moreover, this information is needed
at the level at which management decisions are actually made – at the field scale – and thus
information systems must be: 1) easily and universally available, 2) usable by non-experts, 3)
employ state-of-the-art technology and 4) be easily aggregated to larger scales.
Our overall project aim is to develop and deploy a state-of-the-art system for full greenhouse gas
(GHG) accounting, operational at the scale of an individual entity (e.g., farm, livestock
operation). The system will be web-based, free and accessible by anyone having an internet
connection. Key attributes of the system will include: 1) use of advance methods, including
well-validated process-based models that are run in real-time at high spatial resolution, using
site-specific data on soil properties, climate and land use and management practices; 2) flexibility,
so that users can select, were appropriate, country-specific methods and emission parameters; 3)
user-friendly design, making it possible for land managers and others, without specialized
knowledge of GHG emission processes to use the system, in their native language; and 4)
information on uncertainty, based on robust statistical methods. An important goal of the
consortium will be to disseminate and promote the uptake of the COMET-Global system, including
engagement and outreach to farmer organizations, environmental groups, governmental agencies
and other stakeholders in each of the partner countries, as well as other researchers working on
GHG mitigation in the land use sector.
The proposed project directly addresses Themes and Topics described in the FACCEJPI Call
Announcement, specifically Themes 1 (Improved GHG methodologies) and 2 (Study of mitigation
options), with the focus being at the individual farm-scale. It also address Topic 1 (GHG emission
from agricultural sources) and Topic 2 (GHG removals), by virtue of providing a full GHG analysis at
the farm-scale. Further, the consortium objectives align well with objectives in the Global Research
Alliance towards harmonized methods for GHG emission estimation and to activities elsewhere
within FACCEJPI (e.g. MACSUR), as well as the national priorities relating to GHG mitigation in each
of the partner countries.
The system development will leverage an existing comprehensive web-based tool, COMET-Farm,
operational in the US. In addition to implementing spatial data (climate, soil, land management)
and country-specific emission factors and methods for non-soil GHG emissions, two widely used
process-based models, RothC and ECOSSE, will be incorporated along with the DayCent model for
estimating soil GHG emissions. The user interface will be provided with multi-lingual capabilities
(English, French, Spanish, German and Italian) to provide maximum convenience on the part of a
multinational user community.