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

doi:10.1109/IGARSS.2008.4779532

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 proceeding › Conference proceeding contribution › peer-review

1 Citation (Scopus)

10 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 language	English
Title of host publication	2008 IEEE International Geoscience & Remote Sensing Symposium
Subtitle of host publication	proceedings : July 6-11, 2008, John B. Hynes Veterans Memorial Convention Center, Boston, Massachusetts, U.S.A.
Place of Publication	Piscataway, N.J.
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	III-1044-III-1047
Number of pages	4
ISBN (Print)	9781424428083
DOIs	https://doi.org/10.1109/IGARSS.2008.4779532
Publication status	Published - 2008
Externally published	Yes
Event	International Geoscience and Remote Sensing Symposium - Boston, Mass. Duration: 6 Jul 2008 → 11 Jul 2008

Conference

Conference	International Geoscience and Remote Sensing Symposium
City	Boston, Mass.
Period	6/07/08 → 11/07/08

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 [email protected]. 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

Access to Document

10.1109/IGARSS.2008.4779532

Publisher version (open access)Final published version, 242 KBLicence: Unspecified

Cite this

De Kauwe, M., Quaife, T., Lewis, P., & Disney, M. (2008). Estimating the spatial exchange of carbon through the assimilation of earth observation derived products using an ensemble Kalman filter. In 2008 IEEE International Geoscience & Remote Sensing Symposium: proceedings : July 6-11, 2008, John B. Hynes Veterans Memorial Convention Center, Boston, Massachusetts, U.S.A. (pp. III-1044-III-1047). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IGARSS.2008.4779532

De Kauwe, M. ; Quaife, T. ; Lewis, P. et al. / Estimating the spatial exchange of carbon through the assimilation of earth observation derived products using an ensemble Kalman filter. 2008 IEEE International Geoscience & Remote Sensing Symposium: proceedings : July 6-11, 2008, John B. Hynes Veterans Memorial Convention Center, Boston, Massachusetts, U.S.A.. Piscataway, N.J. : Institute of Electrical and Electronics Engineers (IEEE), 2008. pp. III-1044-III-1047

@inproceedings{840b5687daf64104a398f3898d620f79,

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

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.",

keywords = "Carbon, Data Assimilation, Ensemble Kalman filter, Leaf Area Index",

author = "{De Kauwe}, M. and T. Quaife and P. Lewis and M. Disney",

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{\textquoteright}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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.; International Geoscience and Remote Sensing Symposium ; Conference date: 06-07-2008 Through 11-07-2008",

year = "2008",

doi = "10.1109/IGARSS.2008.4779532",

language = "English",

isbn = "9781424428083",

pages = "III--1044--III--1047",

booktitle = "2008 IEEE International Geoscience & Remote Sensing Symposium",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

De Kauwe, M, Quaife, T, Lewis, P & Disney, M 2008, Estimating the spatial exchange of carbon through the assimilation of earth observation derived products using an ensemble Kalman filter. in 2008 IEEE International Geoscience & Remote Sensing Symposium: proceedings : July 6-11, 2008, John B. Hynes Veterans Memorial Convention Center, Boston, Massachusetts, U.S.A.. Institute of Electrical and Electronics Engineers (IEEE), Piscataway, N.J., pp. III-1044-III-1047, International Geoscience and Remote Sensing Symposium, Boston, Mass., 6/07/08. https://doi.org/10.1109/IGARSS.2008.4779532

Estimating the spatial exchange of carbon through the assimilation of earth observation derived products using an ensemble Kalman filter. / De Kauwe, M.; Quaife, T.; Lewis, P. et al.
2008 IEEE International Geoscience & Remote Sensing Symposium: proceedings : July 6-11, 2008, John B. Hynes Veterans Memorial Convention Center, Boston, Massachusetts, U.S.A.. Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE), 2008. p. III-1044-III-1047.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - Estimating the spatial exchange of carbon through the assimilation of earth observation derived products using an ensemble Kalman filter

AU - De Kauwe, M.

AU - Quaife, T.

AU - Lewis, P.

AU - Disney, M.

N1 - 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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - Carbon

KW - Data Assimilation

KW - Ensemble Kalman filter

KW - Leaf Area Index

U2 - 10.1109/IGARSS.2008.4779532

DO - 10.1109/IGARSS.2008.4779532

M3 - Conference proceeding contribution

SN - 9781424428083

SP - III-1044-III-1047

BT - 2008 IEEE International Geoscience & Remote Sensing Symposium

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, N.J.

T2 - International Geoscience and Remote Sensing Symposium

Y2 - 6 July 2008 through 11 July 2008

ER -

De Kauwe M, Quaife T, Lewis P, Disney M. Estimating the spatial exchange of carbon through the assimilation of earth observation derived products using an ensemble Kalman filter. In 2008 IEEE International Geoscience & Remote Sensing Symposium: proceedings : July 6-11, 2008, John B. Hynes Veterans Memorial Convention Center, Boston, Massachusetts, U.S.A.. Piscataway, N.J.: Institute of Electrical and Electronics Engineers (IEEE). 2008. p. III-1044-III-1047 doi: 10.1109/IGARSS.2008.4779532

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

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this