World Library  


Add to Book Shelf
Flag as Inappropriate
Email this Book

Application of the Gaussian Anamorphosis to Assimilation in a 3-d Coupled Physical-ecosystem Model of the North Atlantic with the Enkf: a Twin Experiment : Volume 5, Issue 4 (03/11/2009)

By Simon, E.

Click here to view

Book Id: WPLBN0004020404
Format Type: PDF Article :
File Size: Pages 16
Reproduction Date: 2015

Title: Application of the Gaussian Anamorphosis to Assimilation in a 3-d Coupled Physical-ecosystem Model of the North Atlantic with the Enkf: a Twin Experiment : Volume 5, Issue 4 (03/11/2009)  
Author: Simon, E.
Volume: Vol. 5, Issue 4
Language: English
Subject: Science, Ocean, Science
Collections: Periodicals: Journal and Magazine Collection (Contemporary), Copernicus GmbH
Historic
Publication Date:
2009
Publisher: Copernicus Gmbh, Göttingen, Germany
Member Page: Copernicus Publications

Citation

APA MLA Chicago

Bertino, L., & Simon, E. (2009). Application of the Gaussian Anamorphosis to Assimilation in a 3-d Coupled Physical-ecosystem Model of the North Atlantic with the Enkf: a Twin Experiment : Volume 5, Issue 4 (03/11/2009). Retrieved from http://worldlibrary.net/


Description
Description: Nansen Environmental and Remote Sensing Center, Norway. We consider the application of the Ensemble Kalman Filter (EnKF) to a coupled ocean ecosystem model (HYCOM-NORWECOM). Such models, especially the ecosystem models, are characterized by strongly non-linear interactions active in ocean blooms and present important difficulties for the use of data assimilation methods based on linear statistical analysis. Besides the non-linearity of the model, one is confronted with the model constraints, the analysis state having to be consistent with the model, especially with respect to the constraints that some of the variables have to be positive. Furthermore the non-Gaussian distributions of the biogeochemical variables break an important assumption of the linear analysis, leading to a loss of optimality of the filter. We present an extension of the EnKF dealing with these difficulties by introducing a non-linear change of variables (anamorphosis function) in order to execute the analysis step in a Gaussian space, namely a space where the distributions of the transformed variables are Gaussian. We present also the initial results of the application of this non-Gaussian extension of the EnKF to the assimilation of simulated chlorophyll surface concentration data in a North Atlantic configuration of the HYCOM-NORWECOM coupled model.

Summary
Application of the Gaussian anamorphosis to assimilation in a 3-D coupled physical-ecosystem model of the North Atlantic with the EnKF: a twin experiment

Excerpt
Aksnes, D., Ulvestad, K., Bali{ñ}o, B., Berntsen, J., and Svendsen, E.: Ecological modelling in coastal waters: towards predictive physical-chemical-biological simulation models, Ophelia, 41, 5–36, 1995.; Allen, J. I., Eknes, M., and Evensen, G.: An Ensemble Kalman Filter with a complex marine ecosystem model: hindcasting phytoplankton in the Cretan Sea, Ann. Geophys., 21, 399–411, 2003.; Allen, J. I., Smyth, T. J., Siddorn, J. R., and Holt, J. T.: How well can we forecast high biomass algal bloom events in a eutrophic coastal sea?, Harmful Algae, 8(1), 70–76, 2008.; Bentsen, M., Evensen, G., Drange, H., and Jenkins, A. D.: Coordinate transformation on a sphere using conformal mapping, Mon. Weather Rev., 127, 2733–2740, 1999.; Bertino, L., Evensen, G., and Wackernagel, H.: Sequential {D}ata {A}ssimilation {T}echniques in {O}ceanography, Int. Statist. Rev., 71, 223–241, 2003.; Bertino, L. and Lisæter, K. A.: The TOPAZ monitoring and prediction system for the Atlantic and Arctic Oceans, J. Operational Oceanogr., 1(2), 15–19, 2008.; Bleck, R.: An oceanic general circulation model framed in isopycnic-cartesian coordinates, Ocean Model., 4, 55–88, 2002.; Campbell, J. W.: The lognormal distribution as a model for bio-optical variability in the sea, J. Geophys. Res., 100(C7), 13237–13254, 1995.; Carmillet, V., Brankart, J.-M., Brasseur, P., Drange, H., Evensen, G., and Verron, J.: A singular evolutive extended {K}alman filter to assimilate ocean color data in a coupled physical-biogeochemical model of the {N}orth {A}tlantic ocean, Ocean Model., 3, 167–192, 2001.; Chilès, J.-P. and Delfiner, P.: Geostatistics: Modeling Spatial Uncertainty, Wiley, New York, 1999.; Courtier, P., Th{é}paut, J. N., and Hollingsworth, A.: A strategy for operational implementation of 4{D}-{V}ar, using an incremental approach, Q. J. Roy. Meteorol. Soc., 120, 1367–1387, 1994.; Doucet, A., de Freitas, N., and Gordon, N.: Sequential Monte Carlo methods in practice, New York, Springer, 2001.; Drange, H. and Simonsen, K.: Formulation of air-sea fluxes in the {ESOP}2 version of MICOM, NERSC Report 125, Nansen Environmental and Remote Sensing Center, Norway, 1996.; Evensen, G.: Sequential data assimilation with a nonlinear quasi-geostrophic model using {M}onte {C}arlo methods to forecast error statistics, J. Geophys. Res., 99(C5), 10143–10182, 1994.; Evensen, G.: The {E}nsemble {K}alman filter: theorotical formulation and practical implementation, Ocean Dynam., 53, 343–367, 2003.; Evensen, G.: Data Assimilation, The Ensemble Kalman Filter, Springer, 2006.; Gregg, W. W.: Assimilation of S}ea{W}i{FS ocean chlorophyll data into a three-dimensional global ocean model, J. Mar. Syst., 69, 205–225, 2008.; Gregg, W. W. and Casey, N. W.: Global and regional evaluation of the S}ea{W}i{FS chlorophyll data set, Rem. Sens. Environ., 93, 463–479, 2004.; Gregg, W. W., Friedrichs, M. A. M., Robinson, A. R., Rose, K. A., Schlitzer, R., Thompson, K. R., and Doney, S. C.: Skill assessment in ocean biological data assimilation, J. Mar. Syst., 76(1–2), 16–33, 2009.; Hansen, C. and Samuelsen, A.: Influence of horizontal model grid resolution on the simulated primary production in an embedded primary production model in the {N}orwegian {S}ea, J. Mar. Syst., 75(1–2), 236–244, 2009.; Hunke, E. and Dukowicz, J.: An elastic-viscous-plastic model for sea-ice dynamics, J. Geophys. Res., 27, 1849–1867, 1999.; Johannessen, J. A., Hackett, B., Svendsen, E., Søiland, H., Røed, L. P., Winther, N., Albretsen, J., Danielsen, D., Pettersson, L., Skogen, M., and Bertino, L.: The Norwegian Coastal Current – oceanography and climate, Chapter 11, edited by: Sætre, R., Tapir Academic Press, 2007.; Kalman, R. E.: A new approach to linear filtering and prediction problems, Trans. ASME Ser. D, J. Basic Eng., 82D, 35–45,1960.; Lauvernet, C., Brankart, J.-M., Castruccio, F., Broquet, G., Brasseur, P., and Verron, J.: A truncated {G}aussian filter for data assimilation with inequality constraints: application t

 

Click To View

Additional Books


  • How Well Can We Derive Global Ocean Indi... (by )
  • Sequential Assimilation of Multi-mission... (by )
  • Eddy Surface Properties and Propagation ... (by )
  • Retroflection from a Double-slanted Coas... (by )
  • About Uncertainties in Practical Salinit... (by )
  • Seawater Capacitance – a Promising Proxy... (by )
  • Changes in Ventilation of the Mediterran... (by )
  • Towards a Regional Ocean Forecasting Sys... (by )
  • Physical Response of the Coastal Ocean t... (by )
  • The Effects of Biogeochemical Processes ... (by )
  • Assessment of an Ensemble System That As... (by )
  • Assessment of an Ensemble System That As... (by )
Scroll Left
Scroll Right

 



Copyright © World Library Foundation. All rights reserved. eBooks from World Library are sponsored by the World Library Foundation,
a 501c(4) Member's Support Non-Profit Organization, and is NOT affiliated with any governmental agency or department.