Assimilation of time-averaged observations in a quasi-geostrophic atmospheric jet model

Climate Dynamics

Volumn 35, Issue 6, 2010, Pages 995-1009

  Huntley, Helga S ^a,b   Hakim, Gregory J ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

^b UNIVERSITY OF DELAWARE   (United States)

Author keywords

Atmospheric modeling; Data assimilation; Ensemble Kalman filter; Paleoclimate

Indexed keywords

ATMOSPHERIC MODELING; CLIMATOLOGY; DATA ASSIMILATION; ERROR ANALYSIS; JET FLOW; KALMAN FILTER; PALEOCLIMATE; QUASI-GEOSTROPHIC FLOW;

EID: 77958153127     PISSN: 09307575     EISSN: 14320894     Source Type: Journal    
DOI: 10.1007/s00382-009-0714-5     Document Type: Article

References (13)

1. Ancell B, Hakim GJ (2007) Comparing adjoint- and ensemble-sensitivity analysis with applications to observation targeting. Mon Weather Rev 135: 4117-4134.
2. Anderson J, Anderson S (1999) A monte carlo implementation of the nonlinear filtering problem to produce ensemble assimilations and forecasts. Mon Weather Rev 127(12): 2741-2758.
3. Anderson JL (2007) Exploring the need for localization in ensemble data assimilation using a hierarchical ensemble filter. Phys D 230: 99-111.
4. Dirren S, Hakim GJ (2005) Toward the assimilation of time-averaged observations. Geophys Res Lett 32(4): L04804.
5. Gaspari G, Cohn SE (1999) Construction of correlation functions in two and three dimensions. QJR Meteorol Soc 125: 723-757.
6. Hakim GJ (2000) Role of nonmodal growth and nonlinearity in cyclogenesis initial-value problems. J Atmos Sci 57(17): 2951-2967.
7. Hakim GJ, Torn RD (2008) Ensemble synoptic analysis: synoptic-dynamic meteorology and weather analysis and forecasting-a tribute to Fred Sanders, p 36.
8. Hoskins BJ, West NV (1979) Baroclinic waves and frontogenesis. Part II: uniform potential vorticity jet flows-cold and warm fronts. J Atmos Sci 36(9): 1663-1680.
9. Khare SP, Anderson JL (2006a) An examination of ensemble filter based adaptive observation methodologies. Tellus A 58: 179-195.
10. Khare SP, Anderson JL (2006b) A methodology for fixed observational network design: theory and application to a simulated global prediction system. Tellus A 58: 523-537.
11. Murphy JM (1988) The impact of ensemble forecasts on predictability. QJR Meteorol Soc 114: 463-493.
12. Torn RD, Hakim GJ (2008) Ensemble-based sensitivity analysis. Mon Weather Rev 136: 663-677.
13. Whitaker JS, Hamill TM (2002) Ensemble data assimilation without perturbed observations. Mon Weather Rev 130: 1913-1924.