Opendata, web and dolomites

FlexMod SIGNED

A Flexible, Data-driven Model Framework to Predict Soil Responses to Land-use and Climate Change

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "FlexMod" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITE DE VERSAILLES SAINT-QUENTIN-EN-YVELINES. 

Organization address
address: Avenue de Paris 55
city: VERSAILLES
postcode: 78035
website: www.uvsq.fr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 184˙707 €
 EC max contribution 184˙707 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2018
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2020
 Duration (year-month-day) from 2020-05-01   to  2022-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE DE VERSAILLES SAINT-QUENTIN-EN-YVELINES. FR (VERSAILLES) coordinator 184˙707.00

Map

 Project objective

Soil organic matter is the largest land carbon (C) pool, vulnerable to land-use change and climate change. Soil C models are used to assess current organic C stocks and make predictions under future conditions. These models are typically developed to make predictions over centennial timescales. Given the ‘4 per mil’ initiative, there is now a critical need for annual-to-decadal soil C stock predictions to evaluate land management decisions and hold participants accountable to stated goals. The project proposes a new soil model framework to make predictions at annual-to-decadal timescales by developing a Bayesian forecasting model from a deterministic soil carbon model with the capacity to ingest multiple data types, propagate uncertainty from data and parameters into predictions, and update predictions when new data become available. The main focus is probabilistic prediction of soil C changes under land use and climate change for the next two decades. Specifically, the project plans build a forecasting model version of the Millennial model, recently developed by the researcher with University colleagues. The Millennial model is an evolution of the commonly used soil C model Century – also incorporated in the global land surface model (ORCHIDEE) of the host institution (LSCE) - but in contrast to Century, Millennial includes soil pools that correspond directly to measurements. First, we will develop the Bayesian calibration of modeled temperature response against warming experiment data, using the Millennial model to integrate measurements from the multi-national, collaborative whole-soil warming experiments FORHOT and BBSFA. Then, we will develop the Bayesian calibration of the modeled land management response against field data with different amounts and quality of added litter. We will then incorporate this new model into ORCHIDEE to predict soil C storage for near term land-based mitigation objectives of the Paris Climate Agreement.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "FLEXMOD" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "FLEXMOD" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.2.)

Migration Ethics (2019)

Migration Ethics

Read More  

GENESIS (2020)

unveilinG cEll-cell fusioN mEdiated by fuSexins In chordateS

Read More  

Comedy and Politics (2018)

The Comedy of Political Philosophy. Democratic Citizenship, Political Judgment, and Ideals in Political Practice.

Read More