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  Fire and Smoke Measurement and Modeling Uncertainties: Case Studies in Northern Sub‐Saharan Africa

Ichoku, C., Ellison, L. T., Yue, Y., Wang, J., & Kaiser, J. W. (2017). Fire and Smoke Measurement and Modeling Uncertainties: Case Studies in Northern Sub‐Saharan Africa. In K. Riley, P. Webley, & M. Thompson (Eds.), Natural Hazard Uncertainty Assessment: Modeling and Decision Support. Hoboken, USA: Wiley. doi:10.1002/9781119028116.ch14.

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Datensatz-Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-1059-B Versions-Permalink: https://hdl.handle.net/11858/00-001M-0000-002E-105A-9
Genre: Buchkapitel

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 Urheber:
Ichoku, Charles, Autor
Ellison, Luke T., Autor
Yue, Yun, Autor
Wang, Jun, Autor
Kaiser, Johannes W.1, Autor           
Affiliations:
1Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285              

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Schlagwörter: -
 Zusammenfassung: Significant uncertainties are incurred in deriving various quantities related to biomass burning from satellite measurements at different scales, and, in general, the coarser the resolution of observation the larger the uncertainty. Uncertainties associated with satellite measurements can vary widely because fires occur in different ecosystems at various scales under a diversity of conditions. This chapter investigates uncertainties associated with the satellite characterization of biomass burning, as they relate to the derived geophysical products such as smoke constituents and their applications. It explores how the observation uncertainties can propagate when used in deriving smoke emissions as well as in regional modeling. Typically, the uncertainties tend to increase as the spatial and temporal resolutions of the satellite observations decrease. Although such uncertainties affect fire measurements and modeling everywhere, the northern sub-Saharan African (NSSA) region has been used as a case study to evaluate the effect of emissions uncertainty on aerosol estimates for this study.

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Sprache(n): eng - English
 Datum: 2017
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1002/9781119028116.ch14
 Art des Abschluß: -

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Quelle 1

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Titel: Natural Hazard Uncertainty Assessment: Modeling and Decision Support
Genre der Quelle: Buch
 Urheber:
Riley, Karin, Herausgeber
Webley, Peter, Herausgeber
Thompson, Matthew, Herausgeber
Affiliations:
-
Ort, Verlag, Ausgabe: Hoboken, USA : Wiley
Seiten: - Band / Heft: - Artikelnummer: - Start- / Endseite: - Identifikator: ISBN: 9781119027867
ISBN: 9781119028116

Quelle 2

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Titel: Geophysical Monograph
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Washington, D.C. : American Geophysical Union
Seiten: - Band / Heft: 223 Artikelnummer: ch14 Start- / Endseite: 215 - 230 Identifikator: ISSN: 0065-8448
CoNE: https://pure.mpg.de/cone/journals/resource/110985822450324