Demonstrator systems for using remote sensing data (LAI, VOD, SIF) in online global prior fluxes for the CO2MVS prototype
Overview & Synopsis
The purpose of this work is to ingest satellite observations of leaf area index (LAI), microwave vegetation optical depth (VOD), and solar induced fluorescence (SIF) to constrain the terrestrial biogenic carbon uptake. Numerical experiments performed by 4 modelling approaches (ISBA, ECLand, ORCHIDEE, SDBM) are compared. ISBA and ECLand use an LDAS approach to perform a sequential assimilation of satellite observations to analyse model state variables, ORCHIDEE uses satellite data to optimize the value of model parameters, SDBM is directly driven by satellite FAPAR. The VOD assimilation is evaluated using ISBA and ECLand. The consistency of SIF with LAI and gross primary production (GPP) is evaluated using ISBA. Global FLUXCOM-V2 GPP estimates are used to benchmark models.
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Document Information
| Document Title | Demonstrator systems for using remote sensing data (LAI, VOD, SIF) in online global prior fluxes for the CO2MVS prototype |
|---|---|
| Author / Organization | Jean-Christophe Calvet, Bertrand Bonan, Oscar Rojas, Anna Agusti-Panareda, Patricia de Rosnay, Peter Weston, Philippe Peylin, Cédric Bacour, Vladislav Bastrikov, Fabienne Maignan, Thomas Kaminski, Wolfgang Knorr, Michael Vossbeck, Marko Scholze |
| Subject & Discipline | Multidisciplinary Academic Open Research |
| Categories | Science & Mathematics |
| Publication Year | 2023 |
| License / Rights | Open Access / Creative Commons |
| Resource Verification | Listed PDF (Verification Pending) |
| Original Host Website |
HAL Open Science
(hal.science)
|
| File Format | application/pdf (Portable Document Format) |
| Language | EN |
| Catalog ID | DOC-184980 |
| Original Source Link | Visit Source Page on hal.science » |