HR: 09:10h
AN: H31K-05    [Abstracts]
TI: Consistent Partitioning of Solar Fluxes in the Soil-Vegetation-Atmosphere System from Satellite Observations: State-of-the-Art 20 Years after FIFE
AU: * PINTY, B
EM: bernard.pinty@jrc.it
AF: Global Environment Monitoring Unit, IES, EC Joint Research Centre, Via E. Fermi, TP 440, Ispra, 21020, Italy
AU: Lavergne, T
EM: thomasl@met.no
AF: Global Environment Monitoring Unit, IES, EC Joint Research Centre, Via E. Fermi, TP 440, Ispra, 21020, Italy
AU: Kaminski, T
EM: Thomas.Kaminski@FastOpt.com
AF: FastOpt, Schanzenstrasse 36, Hamburg, 20357, Germany
AU: Aussedat, O
EM: ophelie.aussedat@medisin.uio.no
AF: Global Environment Monitoring Unit, IES, EC Joint Research Centre, Via E. Fermi, TP 440, Ispra, 21020, Italy
AU: Gobron, N
EM: nadine.gobron@jrc.it
AF: Global Environment Monitoring Unit, IES, EC Joint Research Centre, Via E. Fermi, TP 440, Ispra, 21020, Italy
AU: Taberner, M
EM: Malcolm.taberner@jrc.it
AF: Global Environment Monitoring Unit, IES, EC Joint Research Centre, Via E. Fermi, TP 440, Ispra, 21020, Italy
AU: Verstraete, M M
EM: michel.verstraete@jrc.it
AF: Global Environment Monitoring Unit, IES, EC Joint Research Centre, Via E. Fermi, TP 440, Ispra, 21020, Italy
AU: Widlowski, J
EM: jean-luc.widlowski@jrc.it
AF: Global Environment Monitoring Unit, IES, EC Joint Research Centre, Via E. Fermi, TP 440, Ispra, 21020, Italy
AB: We present and evaluate results from the application of an inversion method conducted using both MODIS and MISR derived broadband visible and near-infrared surface albedo products available during a full seasonal cycle over the US Konza prairie in Kansas. This method enables us to assimilate operational remote-sensing flux products into a state-of-the-art two-stream radiation transfer scheme suitable for Global Climate Models. The occurrence of snow during the winter and spring seasons is based on the analysis of the MODIS snow-products, the assimilation of which by our package translates into an adaptation of the prior values, both the maximum likelihood and width of the 2-D probability density functions (PDF), characterizing the soil background conditions of the vegetation canopy. Our results illustrate the capability of the inversion package to assess a meaningful partitioning of the solar fluxes between the soil, vegetation and atmosphere layers, as well as, the retrieval of associated two-stream model parameters (such as the effective LAI and the albedo of the vegetation background) along the year despite the rather high variability in the input products. Results from applications conducted over additional sites characterized by evergreen and deciduous forest canopy systems and instrumented following the FIFE design will be discussed as well.
DE: 0315 Biosphere/atmosphere interactions (0426, 1610)
DE: 1610 Atmosphere (0315, 0325)
DE: 1631 Land/atmosphere interactions (1218, 1843, 3322)
DE: 1640 Remote sensing (1855)
DE: 1843 Land/atmosphere interactions (1218, 1631, 3322)
SC: Hydrology [H]
MN: 2007 Fall Meeting