Estimating the spatial exchange of carbon through the assimilation of earth observation derived products using an ensemble Kalman filter

M. De Kauwe, T. Quaife, P. Lewis, M. Disney

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

1 Citation (Scopus)
2 Downloads (Pure)

Abstract

This paper explores the potential to improve spatial estimates of key carbon fluxes by combining Earth Observation data with a simple ecosystem model. Spatial estimates of Leaf Area Index from MODIS at the kilometre scale over a coniferous forest site in Oregon are assimilated into an ecosystem model with an Ensemble Kalman filter. Results show that assimilating EO data improves the magnitude of estimates of Net Ecosystem Productivity relative to running the model alone, however the uncertainty is not significantly constrained. Spatially there is an underestimate in modelled carbon fluxes. This is attributed to error in the EO data which induces an underestimate in model stock estimates, as well as inadequacies in the model parameterisation.
Original languageEnglish
Title of host publication2008 IEEE International Geoscience & Remote Sensing Symposium
Subtitle of host publicationproceedings : July 6-11, 2008, John B. Hynes Veterans Memorial Convention Center, Boston, Massachusetts, U.S.A.
Place of PublicationPiscataway, N.J.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
PagesIII-1044-III-1047
Number of pages4
ISBN (Print)9781424428083
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventInternational Geoscience and Remote Sensing Symposium - Boston, Mass.
Duration: 6 Jul 200811 Jul 2008

Conference

ConferenceInternational Geoscience and Remote Sensing Symposium
CityBoston, Mass.
Period6/07/0811/07/08

Bibliographical note

Copyright 2008 IEEE. Reprinted from 2008 IEEE International Geoscience & Remote Sensing Symposium : proceedings : July 6-11, 2008, John B. Hynes Veterans Memorial Convention Center, Boston, Massachusetts, U.S.A. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

  • Carbon
  • Data Assimilation
  • Ensemble Kalman filter
  • Leaf Area Index

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