Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free:

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site:, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Google Analytics

Targeted advertising cookies


The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at or by post at:

24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu logo faccejpi Déroulé - logo Faccejpi


Zone de texte éditable et éditée et rééditée

COMET-Global: Whole-farm GHG estimation and environmental diagnostics platform (coordinated by the Colorado State University, USA, with 6 partners)

Keith Paustian (coordinator)


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.