Radio occultation observations as anchor observations in numerical weather prediction models and associated reduction of bias corrections in microwave and infrared satellite observations

Journal of Atmospheric and Oceanic Technology

Volumn 31, Issue 1, 2014, Pages 20-32

  Cucurull, L ^a,b   Anthes, R A ^b   Tsao, L L ^a,c  

^a NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^b UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH   (United States)

^c CENTRAL WEATHER BUREAU   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ADVANCED MICROWAVE SOUNDING UNIT-A; DATA ASSIMILATION SYSTEMS; HIGH RESOLUTION INFRARED; MICROWAVE OBSERVATIONS; NUMERICAL WEATHER PREDICTION; NUMERICAL WEATHER PREDICTION MODELS; OPERATIONAL ENVIRONMENTS; REFERENCE MEASUREMENTS;

INFRARED RADIATION; SOUNDING APPARATUS; WEATHER FORECASTING;

GLOBAL POSITIONING SYSTEM;

AMSU; CLIMATOLOGY; DATA ASSIMILATION; GPS; NOAA SATELLITE; NUMERICAL MODEL; OBSERVATIONAL METHOD; RADIANCE; SATELLITE DATA; WEATHER FORECASTING;

EID: 84892471367     PISSN: 07390572     EISSN: 15200426     Source Type: Journal    
DOI: 10.1175/JTECH-D-13-00059.1     Document Type: Article

References (45)

1. Anlauf, H., D. Pingel, and A. Rhodin, 2011: Assimilation of GPS radio occultation data at DWD. Atmos. Meas. Tech., 4, 1105- 1113, doi:10.5194/amt-4-1105-2011.
2. Anthes, R. A., 2011: Exploring Earth's atmosphere with radio occultation: Contributions to weather, climate and space weather. Atmos. Meas. Tech., 4, 1077-1103, doi:10.5194/ amt-4-1077-2011.
3. Aparicio, J. M., G. Deblonde, L. Garand, and S. Laroche, 2009: Signature of the atmospheric compressibility factor in COSMIC, CHAMP, andGRACEradio occultation data. J. Geophys. Res., 114, D16114, doi:10.1029/2008JD011156.
4. Balmaseda, M. A., D. P. Dee, A. Vidard, and D. L. T. Anderson, 2007: A multivariate treatment of bias for sequential data assimilation: Applications to the tropical oceans. Quart. J. Roy. Meteor. Soc., 133, 167-179, doi:10.1002/qj.12.
5. Bell, M. L., M. J. Martin, and N. K. Nichols, 2004: Assimilation of data into an ocean model with systematic errors near the equator. Quart. J. Roy. Meteor. Soc., 130, 873-893.
6. Bevis, M., S. Businger, S. Chiswell, T. A. Herring, R. A. Anthes, C. Rocken, and R. H. Ware, 1994: GPS meteorology: Mapping zenith wet delays onto precipitable ware. J. Appl. Meteor., 33, 379-386.
7. Cardinali, C., 2009a: Forecast sensitivity to observation (FSO) as a diagnostic tool. ECMWF Tech. Memo. 599, 26 pp.
8. Cardinali, C., 2009b: Monitoring the observation impact on the short-range forecast. Quart. J. Roy. Meteor. Soc., 135, 239-250.
9. Cardinali, C., and F. Prates, 2011: Performance measurement with advanced diagnostic tools of all-sky microwave imager radiances in 4D-Var. Quart. J. Roy. Meteor. Soc., 137, 2038-2046, doi:10.1002/qj.865.
10. Chepurin, G. A., J. Carton, and D. P. Dee, 2005: Forecast model bias correction in ocean data assimilation. Mon. Wea. Rev., 133, 1328-1342.
11. Collard, A.D., and S. B.Healy, 2003: The combined impact of future space-based atmospheric sounding instruments on numerical weather-prediction analysis fields:Asimulation study. Quart. J. Roy. Meteor. Soc., 129, 2741-2760, doi:10.1256/qj.02.124.
12. Cucurull, L., 2010: Improvement in the use of an operational constellation of GPS radio occultation receivers in weather forecasting. Wea. Forecasting, 25, 749-767.
13. Cucurull, L., and J. C. Derber, 2008: Operational implementation of COSMIC observations into the NCEP's Global Data Assimilation System. Wea. Forecasting, 23, 702-711.
14. Cucurull, L., J. C. Derber, and R. J. Purser, 2013: A bending angle forward operator for global positioning system radio occultation measurements. J.Geophys. Res., 118, 14-28, doi:10.1029/2012JD017782.
15. Dee, D. P., 2004: Variational bias correction of radiance data in the ECWMF system. Proceedings of the ECMWF Workshop on Assimilation of High Spectral Resolution Sounders in NWP, ECWMF, 97-112.
16. Dee, D. P., 2005: Bias and data assimilation. Quart. J. Roy. Meteor. Soc., 131, 3323-3343, doi:10.1256/qj.05.137.
17. Dee, D. P., and A. M. da Silva, 1998: Data assimilation in the presence of forecast bias. Quart. J. Roy. Meteor. Soc., 124, 269-295.
18. Dee, D. P., and R. Todling, 2000: Data assimilation in the presence of forecast bias: The GEOS moisture analysis. Mon. Wea. Rev., 128, 3268-3282.
19. Dee, D. P., and S. Uppala, 2008: Variational bias correction in ERAInterim. ECMWF Tech. Memo. 575, 26 pp.
20. Derber, J. C., 1989: A variational continuous assimilation technique. Mon. Wea. Rev., 117, 2437-2446.
21. Derber, J. C., and W.-S. Wu, 1998: The use of TOVS cloud-cleared radiances in the NCEP SSI analysis system. Mon. Wea. Rev., 126, 2287-2299.
22. Eyre, J. R., 1992: A bias correction scheme for simulated TOVS brightness temperatures. ECMWF Tech. Memo. 186, 28 pp.
23. Eyre, J. R., 1994: Assimilation of radio occultation measurements into a numerical weather prediction system. ECMWF Tech. Memo. 199, ECMWF, 34 pp.
24. Haimberger, L., 2005: Homogenization of radiosonde temperature time series using ERA-40 analysis feedback information. ERA-40 Project Report Series 23, ECWMF, 68 pp.
25. Healy, S. B., 2008a: Assimilation of GPS radio occultation measurements at ECMWF. Proceedings of the GRAS SAF Workshop on Applications of GPS Radio Occultation Measurements, ECWMF, 99-109. [Available online at http://www. ecmwf.int/publications/library/ecpublications/_pdf/workshop/ 2008/gras_saf/Healy.pdf.]
26. Healy, S. B., 2008b: Forecast impact experiment with a constellation of GPS radio occultation receivers. Atmos. Sci. Lett., 9, 111-118, doi:10.1002/asl.169.
27. Healy, S. B., and J.-N. Thépaut, 2006: Assimilation experiments with CHAMP GPS radio occultation measurements. Quart. J. Roy. Meteor. Soc., 132, 605-623.
28. Healy, S. B.,J. R. Eyre, M. Hamrud, and J.-N. Thépaut, 2007: Assimilating GPS radio occultation measurements with two-dimensional bending angle observation operators. Quart. J. Roy. Meteor. Soc., 133, 1213-1227.
29. Kelly, G., and J. Pailleux, 1988: Use of satellite vertical sounder data in the ECMWF analysis system. ECMWF Tech. Memo. 143, 46 pp.
30. Kuo, Y.-H., T.-K.Wee, S. Sokolovskiy, C. Rocken, W. Schreiner, D. Hunt, and R. A. Anthes, 2004: Inversion and error estimation of GPS radio occultation data. J. Meteor. Soc. Japan, 82, 507-531.
31. Kursinski, E. R., G. A. Hajj, J. T. Schofield, R. Linfield, and K. R. Hardy, 1997: Observing Earth's atmosphere with radio occultation measurements. J. Geophys. Res., 102 (D19), 23 429-23 465.
32. Kursinski, E. R., G. A. Hajj, S. S. Leroy, and B. Herman, 2000: The GPS radio occultation technique. Terr. Atmos. Ocean. Sci., 11, 53-114.
33. McNally, T., 2004: The assimilation of stratospheric satellite data at ECWMF. Proceedings of the ECMWF/SPARC Workshop on Modelling and Assimilation for the Stratosphere and Tropopause, ECMWF, 103-106.
34. Poli, P., P. Moll, D. Puech, F. Rabier, and S. Healy, 2009: Quality control, error analysis, and impact assessment of FORMOSAT-3/COSMIC in numerical weather prediction. Terr. Atmos. Oceanic Sci., 20, 101-113, doi:10.3319/ TAO.2008.01.21.02(FC3).
35. Poli, P., S. B. Healy, and D. P. Dee, 2010: Assimilation of global positioning system radio occultation data in the ECMWF ERA-Interim reanalysis. Quart. J. Roy. Meteor. Soc., 136,1972-1990, doi:10.102/qj.172.
36. Rennie, M. P., 2010: The impact of GPS radio occultation assimilation at the Met Office. Quart. J. Roy. Meteor. Soc., 136, 116- 131, doi:10.1002/qj.521.
37. Rüeger, J. M., 2002: Refractive index formulae for electronic distance measurement with radio and millimetre waves. Refractive indices of light, infrared and radio waves in the atmosphere, School of Surveying and Spatial Information Systems, University of New South Wales, Unisurv Report S-68, 1-52.
38. Sokolovskiy, S., Y.-H. Kuo, and W. Wang, 2005: Assessing the accuracy of a linearized observation operator for assimilation of radio occultation data: Case simulations with a high-resolution weather model. Mon. Wea. Rev., 133, 2200-2212.
39. Steiner, A. K., B. C. Lackner, F. Ladstädter, B. Scherllin-Pirscher, U. Foelsche, and G. Kirchengast, 2011: GPS radio occultation for climate monitoring and change detection. Radio Sci., 46, RS0D24, doi:10.1029/2010RS004614.
40. Sun, B., A. Reale, S. Schroeder, D. Seidel, and B. Ballish, 2013: Toward improved corrections for radiation-induced biases in radiosonde temperature observations. J. Geophys. Res., 118, 4231-4243, doi:10.1002/jgrd.50369.
41. Susskind, J., J. Rosenfield, and D. Reuter, 1983: An accurate radiative transfer model for use in the direct physical inversion of HIRS2 and MSU temperature sounding data. J. Geophys. Res., 88 (C13), 8550-8568.
42. Syndergaard, S., E. R. Kursinski, B. M. Herman, E. M. Lane, and D. E. Flittner, 2005: A refractive index mapping operator for assimilation of occultation data. Mon. Wea. Rev., 133, 2650- 2668.
43. Tsyrulnikov, M. D., 2005: Stochastic modeling of model errors: A simulation study. Quart. J. Roy. Meteor. Soc, 131, 3345-3371.
44. WMO, 2012: Final report of the Fifth WMO Workshop on the Impact of Various Observing Systems on Numerical Weather Prediction. WMO Tech. Rep. 2012-1, 25 pp. [Available online http://www.wmo.int/pages/prog/www/OSY/ Meetings/NWP5_Sedona2012/Final_Report.pdf.]
45. Zou X., and Coauthors, 1999: A ray-tracing operator and its adjoint for the use of GPS/MET refraction angle measurements. J. Geophys. Res., 104 (D18), 22 301-22 318.