TY - GEN
T1 - Assimilating earth observation data into land surface models
AU - Quaife, T.
AU - Lewis, P.
AU - De Kauwe, 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 - Data assimilation techniques such as the ensemble Kalman filter and the sequential Metropolis-Hastings algorithm provide ameans of integrating satellite data with ecosystemmodels to optimally adjust their temporal trajectory. To some extent thesemethods can compensate for poor model parameterisations but a preferable scenario is to calibrate themodelwell in the first instance. This paper explores how a site specific model calibration can be adapted to a different site using only MODIS reflectance data. Results show that, using reflectance data only, estimates of the net carbon budget of a field site can be extended to a nearby site, but that this best facilitated by re-calibration rather than sequential data assimilation.
AB - Data assimilation techniques such as the ensemble Kalman filter and the sequential Metropolis-Hastings algorithm provide ameans of integrating satellite data with ecosystemmodels to optimally adjust their temporal trajectory. To some extent thesemethods can compensate for poor model parameterisations but a preferable scenario is to calibrate themodelwell in the first instance. This paper explores how a site specific model calibration can be adapted to a different site using only MODIS reflectance data. Results show that, using reflectance data only, estimates of the net carbon budget of a field site can be extended to a nearby site, but that this best facilitated by re-calibration rather than sequential data assimilation.
UR - http://www.scopus.com/inward/record.url?scp=67649827821&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2008.4780124
DO - 10.1109/IGARSS.2008.4780124
M3 - Conference proceeding contribution
AN - SCOPUS:67649827821
SN - 9781424428083
VL - 5
SP - V445-V448
BT - 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
PB - Institute of Electrical and Electronics Engineers (IEEE)
CY - Piscataway, NJ
T2 - 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Y2 - 6 July 2008 through 11 July 2008
ER -