Correlated observation errors in data assimilation

International Journal for Numerical Methods in Fluids

Volumn 56, Issue 8, 2008, Pages 1521-1527

  Stewart, L M ^a   Dance, S L ^a   Nichols, N K ^a  

^a UNIVERSITY OF READING   (United Kingdom)

Author keywords

Data assimilation; Degrees of freedom; Observation error correlation; Shannon Information Content

Indexed keywords

CORRELATION METHODS; DEGREES OF FREEDOM (MECHANICS); ERROR ANALYSIS; REMOTE SENSING;

DATA ASSIMILATION; OBSERVATION ERROR CORRELATION;

WEATHER FORECASTING;

CORRELATION METHODS; DEGREES OF FREEDOM (MECHANICS); ERROR ANALYSIS; REMOTE SENSING; WEATHER FORECASTING;

EID: 40749113119     PISSN: 02712091     EISSN: 10970363     Source Type: Journal    
DOI: 10.1002/fld.1636     Document Type: Conference Paper

References (10)

1. Seaman R. Absolute and differential accuracy of analyses achievable with specified observation network characteristics. Monthly Weather Review 1977; 105:1211-1222.
2. Bormann N, Saarinen S, Kelly G, Thepaut J-N. The spatial structure of observation errors in atmospheric motion vectors from geostationary satellite data. Monthly Weather Review 2003; 131:706-718.
3. Collard A. On the choice of observation errors for the assimilation of AIRS brightness temperatures: a theoretical study. ECMWF Report, AC/ 90, 2004.
4. Berger H, Forsythe M. Satellite Wind Superobbing. Forecasting Research Technical Report, vol. 451. Met Office, 2004.
5. Liu Z-Q, Rabier F. The interaction between model resolution, observation resolution and observation density in data assimilation. Quarterly Journal of the Royal Astronomical Society 2002; 128:1367-1386.
6. Healy S, White A. Use of discrete Fourier transforms in the 1D-Var retrieval problem. Quarterly Journal of the Royal Astronomical Society 2005; 131:63-72.
7. Fisher M. Accounting for correlated observation error in the ECMWF analysis. ECMWF Technical Memoranda, MF/05106, 2005.
8. Rodgers C. Inverse Methods of Atmospheric Sounding, Theory and Practice. Atmospheric, Oceanic and Planetary Physics, vol. 2. World Scientific: Singapore, 2000.
9. Stewart L, Dance S, Nichols N. Correlated observation errors in data assimilation. Numerical Analysis Report 3/05, University of Reading, 2005. Available at: http://www.maths.rdg.ac.uk/research/ publications/Na_reports.asp.
10. Fisher M. Estimation of entropy reduction and degrees of freedom for signal for large variational analysis systems. ECMWF Technical Memoranda, 397, 2003.