Anne Fouilloux

Anne Fouilloux
University of Oslo · Department of Geosciences

About

22
Publications
2,136
Reads
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418
Citations
Additional affiliations
December 2005 - September 2013
European Center For Medium Range Weather Forecasts
Position
  • Senior Analyst
Description
  • Responsible of the ECMWF Observational DataBase (ODB) software.

Publications

Publications (22)
Article
The Lagrangian particle dispersion model FLEXPART in its original version in the mid-1990s was designed for calculating the long-range and mesoscale dispersion of hazardous substances from point sources, such as those released after an accident in a nuclear power plant. Over the past decades, the model has evolved into a comprehensive tool for mult...
Article
Full-text available
The Lagrangian particle dispersion model FLEXPART was in its original version in the mid-1990s designed for calculating the long-range and mesoscale dispersion of hazardous substances from point sources, such as released after an accident in a nuclear power plant. Over the past decades, the model has evolved into a comprehensive tool for multi-scal...
Article
[1] This paper reports on the first experiences with Advanced Technology Microwave Sounder (ATMS) data at the European Centre for Medium-Range Weather Forecasts (ECMWF), both in terms of the contribution to the calibration/validation exercise and in terms of initial assimilation trials. Comparisons in antenna temperature space against short-term fo...
Article
Full-text available
The launch of the Soil Moisture and Ocean Salinity (SMOS) satellite of the European Space Agency opens the way to using a new type of satellite data that are very sensitive to soil moisture for numerical weather prediction. The European Centre for Medium-Range Weather Forecasts (ECMWF) has developed an operational chain which makes it possible to p...
Article
The Soil Moisture and Ocean Salinity (SMOS) mission of the European Space Agency (ESA) was successfully launched on November 2nd 2009. Using a novel concept based on the inter-ferometric technique, it is expected that the radiometer on board of SMOS will provide global accurate maps of brightness temperatures (TB) and soil moisture at L-band every...
Article
A physical interpretation of reflectance data, for applications related to lighting, or pavements monitoring systems, relies on the development of models describing the interactions between light and the media under study. Beyond ray-tracing approaches, the general radiation transport theory allows a neat solution to the problem of rough surfaces,...
Article
Full-text available
This paper describes an approach we suggest to monitor pavements by using an active optical device. Basically, the amount of light received by such sensors depends on superficial conditions, for which studying some specific traits of scattering indicatrices can bring substantial information. With this objective in sight, the major physical processe...
Article
This contribution to the EUCREX mission 206 series aims at evaluating the performances of three methods considered for the retrieval of cloud microphysical properties (optical depth, droplet effective radius and liquid water path (LWP)) from Advanced Very High Resolution Radiometer (AVHRR) satellite images. These procedures, namely a set of empiric...
Article
In this conclusion paper, remote sensing retrievals of cloud optical thickness performed during the EUCREX mission 206 are analyzed. The comparison with estimates derived from in situ measurements demonstrates that the adiabatic model of cloud microphysics is more realistic than the vertically uniform plane parallel model (VUPPM) for parameterizati...
Conference Paper
The PALM project aims to provide a general structure for a modular implementation of a data assimilation system. In this system, an assimilation algorithm is split up into elementary “units” such as the observation operator, the computation of the correlation matrix of observational errors, the forecast model, etc. This approach allows to separate...
Article
The classification of pixels making up a satellite image is seen here, not only in order to cluster or discriminate these pixels, but exactly as an inversion procedure. The implemented adjustable combination of neural networks (ACNN) technique is built as a combination of self-organized neural networks in order to be particularly robust. After a se...
Article
Full-text available
The influence of two initialization schemes implemented for cirrus cloud simulation with a mesoscale model (RAMS) when run at two distinct horizontal resolutions (40 and 13.5 km) is investigated. The first method combines both first guess and analyzed data issued from the European Centre for Medium-Range Weather Forecasts (ECMWF). Indeed, the forme...
Article
The variability of the Earth-Atmosphere system truly appears with satellites observations, and yet their interpretation scarcely considers this situation. A three-dimensional reflectance model was specifically developed for such inhomogeneous and non-horizontal media. After comparisons with Monte-Carlo simulations, this model was used to conduct se...
Article
Full-text available
As part of the European Cloud and Radiation Experiment campaign, we conducted studies with the regional atmospheric modeling system in order to simulate stratocumulus clouds observed on April 18, 1994, over Brittany (France). This three-dimensional model was used in its non hydrostatic mode, with bulk microphysical and radiative transfer parameteri...
Article
Full-text available
Although small particles (size between 25 µm and 200 µm) are frequently observed within ice and water clouds, they are not generally used properly for the calculation of structural, optical and microphysical quantities. Actually neither the exact shape nor the phase (ice or water) of these particles is well defined since the existing pattern recogn...
Article
Full-text available
By combining AVHRR data from the NOAA satellites with information from a database of in situ measurements, large-scale maps can be generated of the microphysical parameters most immediately significant for the modelling of global circulation and climate. From the satellite data, the clouds can be classified into cumuliform, stratiform and cirrus cl...

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