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@BOOK{Schultz:3831,
author = {Boucher, Olivier and Doutriaux-Boucher, Marie and Granier,
Claire and Heil, Angelika and Hollingsworth, Anthony and
Kaiser, Johannes W. and Kasikowski, Thomas and Morcrette,
Jean-Jacques and Roberts, Gareth and Simmons, Adrian and
Werf, Guido van der},
editor = {Schultz, Martin G. and Wooster, Martin},
collaboration = {Sofiev, Mikhail},
title = {{F}reeval: {E}valuation of a {F}ire {R}adiative {P}ower
{P}roduct derived from {M}eteosat 8/9 and {I}dentification
of {O}perational {U}ser {N}eeds - {F}inal {R}eport},
volume = {23},
issn = {1866-1793},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek,Verlag},
reportid = {PreJuSER-3831},
isbn = {978-3-89336-549-4},
series = {Schriften des Forschungszentrums Jülich : Energie $\&$
Umwelt / Energy $\&$ Environment},
pages = {139 S.},
year = {2008},
note = {Record converted from JUWEL: 18.07.2013},
abstract = {The FREEVAL project answered EUMETSAT invitation to tender
(ITT) No 06/794 Evaluation of a Fire Radiative Power Product
derived from Meteosat-8/9 and Identification of Operational
User Needs. The core work of this project was to evaluate
the efficacy of a retrieval algorithm used to identify
actively burning fires and estimate their fire radiative
power from SEVIRI observations of fire-affected regions, and
determine the effectivness of the retrieved observations.
This algorithm was developed by M. Wooster and his
colleagues at King’s College London (KCL), and had been
selected by EUMETSAT for implementation prior to the start
of FREEVAL. During FREEVAL, EUMETSAT implemented the
algorithm in a prototype operational processing chain, aided
by advice from KCL and with some algorithm changes being
necessary in that environment. The assessment of algorithm
retrieval accuracy covered several aspects and was tailored
to provide sufficient information so that an operational
readiness report (ORR) can be issued and the data product
can be generated with full specifications. The validation of
the SEVIRI fire radiative power (FRP) product considered
three main aspects: 1) theoretical performance of the FRP
algorithm, 2) accuracy and performance limitations due to
the SEVIRI instrument and to the level 1.5 data
characteristics from which all SEVIRI geophysical products
are currently derived, 3) performance of the specific FRP
algorithm implementation at the Land Surface Analysis
Satellite Applications Facility (Land-SAF). Validation was
performed through radiative transfer modelling, through
product analysis and cross-comparison at the pixel, fire,
and grid-cell (e.g. 1$^{\circ}$ x 1$^{\circ}$) and regional
basis, including comparisons with independent data products.
In many cases, data from the EOS Terra and Aqua Moderate
Resolution Imaging Spectroradiometer (MODIS) was used as the
comparison dataset, since FRP can also be derived from the
measurements of this sensor, but the analysis also included
data from other sensors and platforms. [...]},
cin = {ICG-2},
ddc = {333.7},
cid = {I:(DE-Juel1)VDB791},
pnm = {Atmosphäre und Klima},
pid = {G:(DE-Juel1)FUEK406},
typ = {PUB:(DE-HGF)3},
url = {https://juser.fz-juelich.de/record/3831},
}