Estimation of multivariate observation-error statistics for AMSU-A data

Monthly Weather Review

Volumn 139, Issue 12, 2011, Pages 3765-3780

  Gorin, Vadim E ^a   Tsyrulnikov, Mikhail D ^a  

^a HYDROMETEOROLOGICAL RESEARCH CENTER OF THE RUSSIAN FEDERATION   (Russian Federation)

Author keywords

Error analysis; Radiosonde observations; Satellite observations; Statistics

Indexed keywords

DATA PROCESSING; ERROR ANALYSIS; RADIOSONDES; SATELLITES; SOUNDING APPARATUS; STATISTICS; UPPER ATMOSPHERE;

ADVANCED MICROWAVE SOUNDING UNIT-A; BOOTSTRAP SIMULATION; CROSS CORRELATIONS; DATA ASSIMILATION; RADIOSONDE DATAS; SATELLITE ERRORS; SATELLITE OBSERVATIONS;

ERROR STATISTICS;

BOOTSTRAPPING; COMPUTER SIMULATION; CORRELATION; COVARIANCE ANALYSIS; DATA ASSIMILATION; ERROR ANALYSIS; MULTIVARIATE ANALYSIS; RADIOSONDE; STRATOSPHERE; TEMPORAL ANALYSIS; WEATHER FORECASTING;

EID: 84855813676     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2011MWR3554.1     Document Type: Article

References (15)

1. Bormann, N., and P. Bauer, 2010: Estimates of spatial and interchannel observation-error characteristics for current sounder radiances for numerical weather prediction. I: Methods and application to ATOVS data. Quart. J. Roy. Meteor. Soc., 136, 1036-1050.
2. Bormann, N., S. Saarinen, G. Kelly, and J.-N. Thépaut, 2003: The spatial structure of observation errors in atmospheric motion vectors from geostationary satellite data. Mon. Wea. Rev., 131, 706-718.
3. Dando, M., A. Thorpe, and J. Eyre, 2007: The optimal density of atmospheric sounder observations in the Met Office NWP system. Quart. J. Roy. Meteor. Soc., 133, 1933-1943.
4. Efron, B., and R. Tibshirani, 1993: An Introduction to the Bootstrap. Chapman and Hall, 436 pp.
5. Garand, L., S. Heilliette, and M. Buehner, 2007: Interchannel error correlation associated with AIRS radiance observations: Inference and impact in data assimilation. J. Appl. Meteor., 46, 714-725.
6. Goldberg, M. D., D. S. Crosby, and L. Zhou, 2001: The limb adjustment of AMSU-A observations: Methodology and validation. J. Appl. Meteor., 40, 70-83.
7. Harris, B. A., and G. Kelly, 2001: A satellite radiance-bias correction scheme for data assimilation. Quart. J. Roy. Meteor. Soc., 127, 1453-1468.
8. Le Marshall, J., J. Jung, T. Zapotocny, C. Redder, M. Dunn, J. Daniels, and L. P. Riishojgaard, 2008: Impact of MODIS atmospheric motion vectors on a global NWP system. Aust. Meteor. Mag., 57, 45-51.
9. Liu, Z.-Q., and F. Rabier, 2003: The potential of high-density observations for numerical weather prediction: Astudy with simulated observations. Quart. J. Roy. Meteor. Soc., 129, 3013-3035.
10. Okamoto, K., M. Kazumori, and H. Owada, 2005: The assimilation of ATOVS radiances in the JMA global analysis system. J. Meteor. Soc. Japan, 83, 201-217.
11. Saunders, R. W., M.Matricardi, and P. Brunel, 1999: An improved fast radiative transfer model for assimilation of satellite radiance observations. Quart. J. Roy. Meteor. Soc., 125, 1407-1425.
12. Stewart, L., J. Cameron, S. Dance, S. English, J. Eyre, and N. Nichols, 2009: Observation error correlations in IASI radiance data. Mathematics Rep. Series 1/2009, University of Reading, Reading, United Kingdom, 26 pp.
13. Uppala, S. M., Coauthors, 2005: The ERA-40 re-analysis. Quart. J. Roy. Meteor. Soc., 131, 2961-3012.
14. Yaglom, A. M., 1987: Correlation Theory of Stationary and Related Random Functions. Vol. 1: Basic Results. Springer, 526 pp.
15. Zapotocny, T. H., J. A. Jung, J. F. L. Marshall, and R. E. Treadon, 2008: A two-season impact study of four satellite data types and rawinsonde data in the NCEP global data assimilation system. Wea. Forecasting, 23, 80-100.