Processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble Kalman filter

Peer Reviewed http://deepblue.lib.umich.edu/bitstream/2027.42/117242/1/eap20102051285.pdf

Bibliographic Details
Published in:Ecological Applications
Main Authors: Rastetter, Edward B., Williams, Mathew, Griffin, Kevin L., Kwiatkowski, Bonnie L., Tomasky, Gabrielle, Potosnak, Mark J., Stoy, Paul C., Shaver, Gaius R., Stieglitz, Marc, Hobbie, John E., Kling, George W.
Other Authors: Department of Ecology and Evolutionary Biology, University of Michigan, 2019 Kraus Natural Science Building, 830 North University, Ann Arbor, Michigan 48109-1048 USA, The Ecosystems Center, Marine Biological Laboratory, 7 MBL Street, Woods Hole, Massachusetts 02543-1015 USA, School of Civil and Environmental Engineering, Georgia Institute of Technology, Room 101, Daniel Environmental Engineering Laboratory, 200 Bobby Dodd Way, Atlanta, Georgia 30332-0373 USA, Environmental Science Program, DePaul University, 203F McGowan South, 1110 W. Belden Avenue, Chicago, Illinois 60614-2245 USA, Lamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, New York 10964-8000 USA, School of GeoSciences, University of Edinburgh, Crew Building, The King's Buildings, West Mains Road, Edinburgh EH9 3JN Scotland, United Kingdom
Format: Article in Journal/Newspaper
Language:unknown
Published: Ecological Society of America 2010
Subjects:
Kalman filter
eddy covariance
Alaska
net ecosystem carbon exchange
ecosystem models
ecosystem carbon balance
data assimilation
USA
Ecology and Evolutionary Biology
Science
Arctic
Online Access:https://hdl.handle.net/2027.42/117242
https://doi.org/10.1890/09-0876.1
id ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/117242
record_format openpolar
institution Open Polar
collection University of Michigan: Deep Blue
op_collection_id ftumdeepblue
language unknown
topic Kalman filter
eddy covariance
Alaska
net ecosystem carbon exchange
ecosystem models
ecosystem carbon balance
data assimilation
USA
Ecology and Evolutionary Biology
Science
spellingShingle Kalman filter
eddy covariance
Alaska
net ecosystem carbon exchange
ecosystem models
ecosystem carbon balance
data assimilation
USA
Ecology and Evolutionary Biology
Science
Rastetter, Edward B.
Williams, Mathew
Griffin, Kevin L.
Kwiatkowski, Bonnie L.
Tomasky, Gabrielle
Potosnak, Mark J.
Stoy, Paul C.
Shaver, Gaius R.
Stieglitz, Marc
Hobbie, John E.
Kling, George W.
Processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble Kalman filter
topic_facet Kalman filter
eddy covariance
Alaska
net ecosystem carbon exchange
ecosystem models
ecosystem carbon balance
data assimilation
USA
Ecology and Evolutionary Biology
Science
description Peer Reviewed http://deepblue.lib.umich.edu/bitstream/2027.42/117242/1/eap20102051285.pdf
author2 Department of Ecology and Evolutionary Biology, University of Michigan, 2019 Kraus Natural Science Building, 830 North University, Ann Arbor, Michigan 48109-1048 USA
The Ecosystems Center, Marine Biological Laboratory, 7 MBL Street, Woods Hole, Massachusetts 02543-1015 USA
School of Civil and Environmental Engineering, Georgia Institute of Technology, Room 101, Daniel Environmental Engineering Laboratory, 200 Bobby Dodd Way, Atlanta, Georgia 30332-0373 USA
Environmental Science Program, DePaul University, 203F McGowan South, 1110 W. Belden Avenue, Chicago, Illinois 60614-2245 USA
Lamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, New York 10964-8000 USA
School of GeoSciences, University of Edinburgh, Crew Building, The King's Buildings, West Mains Road, Edinburgh EH9 3JN Scotland, United Kingdom
format Article in Journal/Newspaper
author Rastetter, Edward B.
Williams, Mathew
Griffin, Kevin L.
Kwiatkowski, Bonnie L.
Tomasky, Gabrielle
Potosnak, Mark J.
Stoy, Paul C.
Shaver, Gaius R.
Stieglitz, Marc
Hobbie, John E.
Kling, George W.
author_facet Rastetter, Edward B.
Williams, Mathew
Griffin, Kevin L.
Kwiatkowski, Bonnie L.
Tomasky, Gabrielle
Potosnak, Mark J.
Stoy, Paul C.
Shaver, Gaius R.
Stieglitz, Marc
Hobbie, John E.
Kling, George W.
author_sort Rastetter, Edward B.
title Processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble Kalman filter
title_short Processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble Kalman filter
title_full Processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble Kalman filter
title_fullStr Processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble Kalman filter
title_full_unstemmed Processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble Kalman filter
title_sort processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble kalman filter
publisher Ecological Society of America
publishDate 2010
url https://hdl.handle.net/2027.42/117242
https://doi.org/10.1890/09-0876.1
geographic Arctic
geographic_facet Arctic
genre Arctic
Arctic
Alaska
genre_facet Arctic
Arctic
Alaska
op_relation Rastetter, Edward B.; Williams, Mathew; Griffin, Kevin L.; Kwiatkowski, Bonnie L.; Tomasky, Gabrielle; Potosnak, Mark J.; Stoy, Paul C.; Shaver, Gaius R.; Stieglitz, Marc; Hobbie, John E.; Kling, George W. (2010). "Processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble Kalman filter." Ecological Applications 20(5): 1285-1301.
1051-0761
1939-5582
https://hdl.handle.net/2027.42/117242
doi:10.1890/09-0876.1
Ecological Applications
R Development Core Team. 2006. R: a language and environment for statistical computing. Version 2.3.1. R Foundation for Statistical Computing. Vienna, Austria.
Cava, D., U. Giostra, M. B. S. Siqueira, and G. G. Katul. 2004. Organized motion and radiative perturbations in the nocturnal canopy sublayer above an even-aged pine forest. Boundary Layer Meteorology 112: 129 – 157.
Chen, M., S. Liu, L. L. Tieszen, and D. Y. Hollinger. 2008. An improved state-parameter analysis of ecosystem models using data assimilation. Ecological Modelling 219: 317 – 326.
Cosby, B. J. and G. M. Hornberger. 1984. Identification of photosynthesis-light models for aquatic systems: I. Theory and simulations. Ecological Modelling 22: 1 – 24.
Cosby, B. J., G. M. Hornberger, and M. G. Kelly. 1984. Identification of photosynthesis–light models for aquatic systems: II. Application to a macrophyte dominated stream. Ecological Modelling 22: 25 – 51.
Ehman, J. L., H. P. Schmid, C. S. B. Grimmond, J. C. Randolph, P. J. Hanson, C. A. Wayson, and F. D. Cropley. 2002. An initial intercomparison of micrometeorological and ecological inventory estimates of carbon exchange in a mid-latitude deciduous forest. Global Change Biology 8: 575 – 589.
Evensen, G. 2003. The ensemble Kalman filter: theoretical formulation and practical implementation. Ocean Dynamics 53: 343 – 367.
Falge, E., et al 2002a. Seasonality of ecosystem respiration and gross primary production as derived from fluxnet measurements. Agricultural and Forest Meteorology 113: 53 – 74.
Falge, E., et al 2002b. Phase and amplitude of ecosystem carbon release and uptake potentials as derived from FLUXNET measurements. Agricultural and Forest Meteorology 113: 75 – 95.
Fox, A. M., B. Huntley, C. R. Lloyd, M. Williams, and R. Baxter. 2008. Net ecosystem exchange over heterogeneous Arctic tundra: scaling between chamber and eddy covariance measurements. Global Biogeochemical Cycles 22: GB2027.
Gebauer, R. L. E., J. F. Reynolds, and J. D. Tenhunen. 1998. Diurnal patterns of CO 2 and H 2 O exchange of the arctic sedges Eriophorum angustifolium and E. vaginatum (Cyperaceae). American Journal of Botany 85: 592 – 599.
Goulden, M. L., B. C. Daube, S-M. Fan, D. J. Sutton, A. Bazzaz, J. W. Munger, and S. C. Wofsy. 1997. Physiological responses of a black spruce forest to weather. Journal of Geophysical Research 102: 28987 – 28996.
Gove, J. H. and D. Y. Hollinger. 2006. Application of a dual unscented Kalman filter for simultaneous state and parameter estimation in problems of surface–atmosphere exchange. Journal of Geophysical Research 111: D08S07.
Hanan, N. P., G. Burba, S. B. Verma, J. A. Berry, A. Suyker, and E. A. Walter-Shea. 2002. Inversion of net ecosystem CO 2 flux measurements for estimation of canopy PAR absorption. Global Change Biology 8: 563 – 574.
Hollinger, D. Y. and A. D. Richardson. 2005. Uncertainty in eddy covariance measurements and its application to physiological models. Tree Physiology 25: 873 – 885.
Jazwinski, A. H. 1998. Stochastic process and filtering theory. Dover Publications. Mineola, New York, USA.
Kane, D. L. and L. D. Hinzman. 2004. Climate data from the North Slope Hydrology Research project University of Alaska Fairbanks, Water and Environmental Research Center. 〈 http://www.uaf.edu/water/projects/NorthSlope 〉.
Law, B. E., et al 2002. Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation. Agricultural and Forest Meteorology 113: 97 – 120.
Law, B. E., O. Sun, J. Campbell, S. Van Tuyl, and P. Thornton. 2003. Changes in carbon storage and fluxes in a chronosequence of ponderosa pine. Global Change Biology 9: 510 – 524.
Leuning, R., F. M. Kelliher, D. G. G. de Pury, and E. D. Schulze. 1995. Leaf nitrogen, photosynthesis, conductance and transpiration: scaling from leaves to canopies. Plant, Cell and the Environment 18: 1183 – 1200.
Lin, Z. and M. B. Beck. 2007. Understanding complex environmental systems: a dual approach. Environmetrics 18: 11 – 26.
Papale, D., M. Reichstein, M. Aubinet, E. Cafora, C. Bernhofer, W. Kutsch, B. Longdoz, S. Rambal, R. Valentini, T. Vesala, and D. Yakir. 2006. Towards a standardized processing of net ecosystem exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences 3: 571 – 583.
Richardson, A. D., D. Y. Hollinger, G. G. Burba, K. J. Davis, L. B. Flanagan, G. G. Katul, J. W. Munger, D. M. Ricciuto, P. C. Stoy, A. E. Suyker, S. B. Verma, and S. C. Wofsy. 2006. A multi-site analysis of random error in tower-based measurements of carbon and energy fluxes. Agricultural and Forest Meteorology 136: 1 – 18.
Running, S. W., D. D. Baldocchi, D. P. Turner, S. T. Gower, P. S. Bakwin, and K. A. Hibbard. 1999. A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data. Remote Sensing of Environment 70: 108 – 127.
Sacks, W. J., D. S. Schimel, R. K. Monson, and B. H. Braswell. 2006. Model-data synthesis of diurnal and seasonal CO 2 fluxes at Niwot Ridge, Colorado. Global Change Biology 12: 240 – 259.
Shaver, G. R., L. E. Street, E. B. Rastetter, M. T. van Wijk, and M. Williams. 2007. Functional convergence in regulation of net CO 2 flux in heterogeneous tundra landscapes in Alaska and Sweden. Journal of Ecology 95: 802 – 817.
Turnipseed, A. A., D. E. Anderson, P. D. Blanken, W. M. Baugh, and R. K. Monson. 2003. Airflows and turbulent flux measurement in mountainous terrain part 1. Canopy and local effects. Agricultural and Forest Meteorology 119: 1 – 21.
Vallino, J. J. 1985. On-line estimation of the oxygen-mass-transfer coefficient and other state variables in a chemostat. Thesis. Department of Chemical Engineering California Institute of Technology. Pasadena, California, USA.
Wang, B., X. Zou, and J. Zhu. 2000. Data assimilation and its applications. Proceedings of the National Academy of Sciences USA 97: 11143 – 11144.
Webb, E. K., G. I. Pearman, and R. Leuning. 1980. Correction of flux measurements for density effects due to heat and water vapor transfer. Quarterly Journal of the Royal Meteorological Society 106: 85 – 100.
Wilczak, J. M., S. P. Oncley, and S. A. Stage. 2001. Sonic anemometer tilt correction algorithms. Boundary Layer Meteorology 99: 127 – 150.
Williams, M., E. B. Rastetter, D. N. Fernandes, M. L. Goulden, S. C. Wofsy, G. R. Shaver, J. M. Melillo, J. W. Munger, S-M. Fan, and K. J. Nadelhoffer. 1996. Modelling the soil–plant–atmosphere continuum in a Quercus–Acer stand at Harvard Forest: the regulation of stomatal conductance by light, nitrogen and soil/plant hydraulic properties. Plant, Cell and Environment 19: 911 – 927.
Williams, M., E. B. Rastetter, G. R. Shaver, J. E. Hobbie, E. Carpino, and B. L. Kwiatkowski. 2001. Primary production of an arctic watershed: an uncertainty analysis. Ecological Applications 11: 1800 – 1816.
Williams, M., P. A. Schwarz, B. E. Law, J. Irvine, and M. R. Kurpius. 2005. An improved analysis of forest carbon dynamics using data assimilation. Global Change Biology 11: 89 – 105.
Williams, M., L. E. Street, M. T. van Wijk, and G. R. Shaver. 2006. Identifying differences in carbon exchange among arctic ecosystem types. Ecosystems 9: 288 – 304.
Wofsy, S. C., M. L. Goulden, J. W. Munger, S-M. Fan, P. S. Bakwin, B. C. Daube, S. L. Bassow, and F. A. Bazzaz. 1993. Net exchange of CO 2 in a mid-latitude forest. Science 260: 1314 – 1317.
Wu, X., Y. Luo, E. Weng, L. White, Y. Ma, and X. Zhou. 2009. Conditional inversion to estimate parameters from eddy-flux observations. Journal of Plant Ecology 2: 55 – 68.
Young, P. 1984. Recursive estimation and time-series analysis: an introduction. Springer-Verlag Berlin. Germany.
Anthoni, P. M., B. E. Law, and M. H. Unsworth. 1999. Carbon and water vapor exchange of an open-canopied ponderosa pine ecosystem. Agricultural and Forest Meteorology 95: 115 – 168.
Baldocchi, D. D. 2003. Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present, and future. Global Change Biology 9: 479 – 492.
Ball, J. T., I. E. Woodrow, and J. A. Berry. 1987. A model predicting stomatal conductance and its contributions to the control of photosynthesis under different environmental conditions. Pages 221 – 224. in Biggins, J. editor. Progress in photosynthesis research. Volume IV. Martinus Nijhoff. Dordrecht, The Netherlands.
Beck, B. and P. Young. 1976. Systematic identification of DO-BOD model structure. Journal of Environmental Engineering Division, ASCE 102: 909 – 924.
Brown, A. G. 1983. Introduction to Random signal analysis and Kalman filtering. John Wiley and Sons. New York, New York, USA.
Burba, G. G., D. K. McDermitt, A. Grelle, D. J. Anderson, and L. Xu. 2008. Addressing the influence of instrument surface heat exchange on the measurement of CO 2 flux from open-path analyzers. Global Change Biology 14: 1854 – 1876.
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container_title Ecological Applications
container_volume 20
container_issue 5
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spelling ftumdeepblue:oai:deepblue.lib.umich.edu:2027.42/117242 2023-08-20T04:03:10+02:00 Processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble Kalman filter Rastetter, Edward B. Williams, Mathew Griffin, Kevin L. Kwiatkowski, Bonnie L. Tomasky, Gabrielle Potosnak, Mark J. Stoy, Paul C. Shaver, Gaius R. Stieglitz, Marc Hobbie, John E. Kling, George W. Department of Ecology and Evolutionary Biology, University of Michigan, 2019 Kraus Natural Science Building, 830 North University, Ann Arbor, Michigan 48109-1048 USA The Ecosystems Center, Marine Biological Laboratory, 7 MBL Street, Woods Hole, Massachusetts 02543-1015 USA School of Civil and Environmental Engineering, Georgia Institute of Technology, Room 101, Daniel Environmental Engineering Laboratory, 200 Bobby Dodd Way, Atlanta, Georgia 30332-0373 USA Environmental Science Program, DePaul University, 203F McGowan South, 1110 W. Belden Avenue, Chicago, Illinois 60614-2245 USA Lamont-Doherty Earth Observatory, Columbia University, 61 Route 9W, Palisades, New York 10964-8000 USA School of GeoSciences, University of Edinburgh, Crew Building, The King's Buildings, West Mains Road, Edinburgh EH9 3JN Scotland, United Kingdom 2010-07 application/pdf https://hdl.handle.net/2027.42/117242 https://doi.org/10.1890/09-0876.1 unknown Ecological Society of America Wiley Periodicals, Inc. Rastetter, Edward B.; Williams, Mathew; Griffin, Kevin L.; Kwiatkowski, Bonnie L.; Tomasky, Gabrielle; Potosnak, Mark J.; Stoy, Paul C.; Shaver, Gaius R.; Stieglitz, Marc; Hobbie, John E.; Kling, George W. (2010). "Processing arctic eddy‐flux data using a simple carbon‐exchange model embedded in the ensemble Kalman filter." Ecological Applications 20(5): 1285-1301. 1051-0761 1939-5582 https://hdl.handle.net/2027.42/117242 doi:10.1890/09-0876.1 Ecological Applications R Development Core Team. 2006. R: a language and environment for statistical computing. Version 2.3.1. R Foundation for Statistical Computing. Vienna, Austria. Cava, D., U. Giostra, M. B. S. Siqueira, and G. G. Katul. 2004. Organized motion and radiative perturbations in the nocturnal canopy sublayer above an even-aged pine forest. Boundary Layer Meteorology 112: 129 – 157. Chen, M., S. Liu, L. L. Tieszen, and D. Y. Hollinger. 2008. An improved state-parameter analysis of ecosystem models using data assimilation. Ecological Modelling 219: 317 – 326. Cosby, B. J. and G. M. Hornberger. 1984. Identification of photosynthesis-light models for aquatic systems: I. Theory and simulations. Ecological Modelling 22: 1 – 24. Cosby, B. J., G. M. Hornberger, and M. G. Kelly. 1984. Identification of photosynthesis–light models for aquatic systems: II. Application to a macrophyte dominated stream. Ecological Modelling 22: 25 – 51. Ehman, J. L., H. P. Schmid, C. S. B. Grimmond, J. C. Randolph, P. J. Hanson, C. A. Wayson, and F. D. Cropley. 2002. An initial intercomparison of micrometeorological and ecological inventory estimates of carbon exchange in a mid-latitude deciduous forest. Global Change Biology 8: 575 – 589. Evensen, G. 2003. The ensemble Kalman filter: theoretical formulation and practical implementation. Ocean Dynamics 53: 343 – 367. Falge, E., et al 2002a. Seasonality of ecosystem respiration and gross primary production as derived from fluxnet measurements. Agricultural and Forest Meteorology 113: 53 – 74. Falge, E., et al 2002b. Phase and amplitude of ecosystem carbon release and uptake potentials as derived from FLUXNET measurements. Agricultural and Forest Meteorology 113: 75 – 95. Fox, A. M., B. Huntley, C. R. Lloyd, M. Williams, and R. Baxter. 2008. Net ecosystem exchange over heterogeneous Arctic tundra: scaling between chamber and eddy covariance measurements. Global Biogeochemical Cycles 22: GB2027. Gebauer, R. L. E., J. F. Reynolds, and J. D. Tenhunen. 1998. Diurnal patterns of CO 2 and H 2 O exchange of the arctic sedges Eriophorum angustifolium and E. vaginatum (Cyperaceae). American Journal of Botany 85: 592 – 599. Goulden, M. L., B. C. Daube, S-M. Fan, D. J. Sutton, A. Bazzaz, J. W. Munger, and S. C. Wofsy. 1997. Physiological responses of a black spruce forest to weather. Journal of Geophysical Research 102: 28987 – 28996. Gove, J. H. and D. Y. Hollinger. 2006. Application of a dual unscented Kalman filter for simultaneous state and parameter estimation in problems of surface–atmosphere exchange. Journal of Geophysical Research 111: D08S07. Hanan, N. P., G. Burba, S. B. Verma, J. A. Berry, A. Suyker, and E. A. Walter-Shea. 2002. Inversion of net ecosystem CO 2 flux measurements for estimation of canopy PAR absorption. Global Change Biology 8: 563 – 574. Hollinger, D. Y. and A. D. Richardson. 2005. Uncertainty in eddy covariance measurements and its application to physiological models. Tree Physiology 25: 873 – 885. Jazwinski, A. H. 1998. Stochastic process and filtering theory. Dover Publications. Mineola, New York, USA. Kane, D. L. and L. D. Hinzman. 2004. Climate data from the North Slope Hydrology Research project University of Alaska Fairbanks, Water and Environmental Research Center. 〈 http://www.uaf.edu/water/projects/NorthSlope 〉. Law, B. E., et al 2002. Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation. Agricultural and Forest Meteorology 113: 97 – 120. Law, B. E., O. Sun, J. Campbell, S. Van Tuyl, and P. Thornton. 2003. Changes in carbon storage and fluxes in a chronosequence of ponderosa pine. Global Change Biology 9: 510 – 524. Leuning, R., F. M. Kelliher, D. G. G. de Pury, and E. D. Schulze. 1995. Leaf nitrogen, photosynthesis, conductance and transpiration: scaling from leaves to canopies. Plant, Cell and the Environment 18: 1183 – 1200. Lin, Z. and M. B. Beck. 2007. Understanding complex environmental systems: a dual approach. Environmetrics 18: 11 – 26. Papale, D., M. Reichstein, M. Aubinet, E. Cafora, C. Bernhofer, W. Kutsch, B. Longdoz, S. Rambal, R. Valentini, T. Vesala, and D. Yakir. 2006. Towards a standardized processing of net ecosystem exchange measured with eddy covariance technique: algorithms and uncertainty estimation. Biogeosciences 3: 571 – 583. Richardson, A. D., D. Y. Hollinger, G. G. Burba, K. J. Davis, L. B. Flanagan, G. G. Katul, J. W. Munger, D. M. Ricciuto, P. C. Stoy, A. E. Suyker, S. B. Verma, and S. C. Wofsy. 2006. A multi-site analysis of random error in tower-based measurements of carbon and energy fluxes. Agricultural and Forest Meteorology 136: 1 – 18. Running, S. W., D. D. Baldocchi, D. P. Turner, S. T. Gower, P. S. Bakwin, and K. A. Hibbard. 1999. A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data. Remote Sensing of Environment 70: 108 – 127. Sacks, W. J., D. S. Schimel, R. K. Monson, and B. H. Braswell. 2006. Model-data synthesis of diurnal and seasonal CO 2 fluxes at Niwot Ridge, Colorado. Global Change Biology 12: 240 – 259. Shaver, G. R., L. E. Street, E. B. Rastetter, M. T. van Wijk, and M. Williams. 2007. Functional convergence in regulation of net CO 2 flux in heterogeneous tundra landscapes in Alaska and Sweden. Journal of Ecology 95: 802 – 817. Turnipseed, A. A., D. E. Anderson, P. D. Blanken, W. M. Baugh, and R. K. Monson. 2003. Airflows and turbulent flux measurement in mountainous terrain part 1. Canopy and local effects. Agricultural and Forest Meteorology 119: 1 – 21. Vallino, J. J. 1985. On-line estimation of the oxygen-mass-transfer coefficient and other state variables in a chemostat. Thesis. Department of Chemical Engineering California Institute of Technology. Pasadena, California, USA. Wang, B., X. Zou, and J. Zhu. 2000. Data assimilation and its applications. Proceedings of the National Academy of Sciences USA 97: 11143 – 11144. Webb, E. K., G. I. Pearman, and R. Leuning. 1980. Correction of flux measurements for density effects due to heat and water vapor transfer. Quarterly Journal of the Royal Meteorological Society 106: 85 – 100. Wilczak, J. M., S. P. Oncley, and S. A. Stage. 2001. Sonic anemometer tilt correction algorithms. Boundary Layer Meteorology 99: 127 – 150. Williams, M., E. B. Rastetter, D. N. Fernandes, M. L. Goulden, S. C. Wofsy, G. R. Shaver, J. M. Melillo, J. W. Munger, S-M. Fan, and K. J. Nadelhoffer. 1996. Modelling the soil–plant–atmosphere continuum in a Quercus–Acer stand at Harvard Forest: the regulation of stomatal conductance by light, nitrogen and soil/plant hydraulic properties. Plant, Cell and Environment 19: 911 – 927. Williams, M., E. B. Rastetter, G. R. Shaver, J. E. Hobbie, E. Carpino, and B. L. Kwiatkowski. 2001. Primary production of an arctic watershed: an uncertainty analysis. Ecological Applications 11: 1800 – 1816. Williams, M., P. A. Schwarz, B. E. Law, J. Irvine, and M. R. Kurpius. 2005. An improved analysis of forest carbon dynamics using data assimilation. Global Change Biology 11: 89 – 105. Williams, M., L. E. Street, M. T. van Wijk, and G. R. Shaver. 2006. Identifying differences in carbon exchange among arctic ecosystem types. Ecosystems 9: 288 – 304. Wofsy, S. C., M. L. Goulden, J. W. Munger, S-M. Fan, P. S. Bakwin, B. C. Daube, S. L. Bassow, and F. A. Bazzaz. 1993. Net exchange of CO 2 in a mid-latitude forest. Science 260: 1314 – 1317. Wu, X., Y. Luo, E. Weng, L. White, Y. Ma, and X. Zhou. 2009. Conditional inversion to estimate parameters from eddy-flux observations. Journal of Plant Ecology 2: 55 – 68. Young, P. 1984. Recursive estimation and time-series analysis: an introduction. Springer-Verlag Berlin. Germany. Anthoni, P. M., B. E. Law, and M. H. Unsworth. 1999. Carbon and water vapor exchange of an open-canopied ponderosa pine ecosystem. Agricultural and Forest Meteorology 95: 115 – 168. Baldocchi, D. D. 2003. Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present, and future. Global Change Biology 9: 479 – 492. Ball, J. T., I. E. Woodrow, and J. A. Berry. 1987. A model predicting stomatal conductance and its contributions to the control of photosynthesis under different environmental conditions. Pages 221 – 224. in Biggins, J. editor. Progress in photosynthesis research. Volume IV. Martinus Nijhoff. Dordrecht, The Netherlands. Beck, B. and P. Young. 1976. Systematic identification of DO-BOD model structure. Journal of Environmental Engineering Division, ASCE 102: 909 – 924. Brown, A. G. 1983. Introduction to Random signal analysis and Kalman filtering. John Wiley and Sons. New York, New York, USA. Burba, G. G., D. K. McDermitt, A. Grelle, D. J. Anderson, and L. Xu. 2008. Addressing the influence of instrument surface heat exchange on the measurement of CO 2 flux from open-path analyzers. Global Change Biology 14: 1854 – 1876. IndexNoFollow Kalman filter eddy covariance Alaska net ecosystem carbon exchange ecosystem models ecosystem carbon balance data assimilation USA Ecology and Evolutionary Biology Science Article 2010 ftumdeepblue https://doi.org/10.1890/09-0876.1 2023-07-31T20:40:16Z Peer Reviewed http://deepblue.lib.umich.edu/bitstream/2027.42/117242/1/eap20102051285.pdf Article in Journal/Newspaper Arctic Arctic Alaska University of Michigan: Deep Blue Arctic Ecological Applications 20 5 1285 1301

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