The impact of metop and other satellite data within the met office global nwp system using an adjoint-based sensitivity method

Monthly Weather Review

Volumn 141, Issue 10, 2013, Pages 3331-3342

  Joo, Sangwon ^a   Eyre, John ^b   Marriott, Richard ^b  

^a National Typhoon Center   (South Korea)

^b MET OFFICE   (United Kingdom)

Author keywords

Data assimilation; Numerical weather prediction forecasting; Satellite observations; Sensitivity studies

Indexed keywords

DATA ASSIMILATION; GLOBAL NAVIGATION SATELLITE SYSTEMS; HYPERSPECTRAL INFRARED SOUNDINGS; INFRARED ATMOSPHERIC SOUNDING INTERFEROMETERS; NUMERICAL WEATHER PREDICTION; NUMERICAL WEATHER PREDICTION/FORECASTING; SATELLITE OBSERVATIONS; SENSITIVITY STUDIES;

ATMOSPHERIC SPECTRA; DATA PROCESSING; METEOROLOGICAL INSTRUMENTS; SATELLITES; WEATHER FORECASTING;

GLOBAL POSITIONING SYSTEM;

ASCAT; DATA ASSIMILATION; GNSS; GPS; IASI; MULTISPECTRAL IMAGE; NOAA SATELLITE; SATELLITE DATA; SATELLITE IMAGERY; WEATHER FORECASTING;

EID: 84884961617     PISSN: 00270644     EISSN: 15200493     Source Type: Journal    
DOI: 10.1175/MWR-D-12-00232.1     Document Type: Article

References (11)

1. Bouttier, F., andG. Kelly, 2001: Observation-system experiments in the ECMWF 4D-Var data assimilation system. Quart. J. Roy. Meteor. Soc., 127, 1469-1488.
2. Cardinali, C., 2009: Forecast sensitivity to observation (FSO) as a diagnostic tool. ECMWF Tech. Memo. 599, 26 pp.
3. Clayton, A. M., A. C. Lorenc, and D. M. Barker, 2013: Operational implementation of a hybrid ensemble/4D-Var global data assimilation system at the Met Office. Quart. J. Roy. Meteor. Soc., doi:10.1002/qj.2054, in press.
4. Eyre, J., and Coauthors, 2008: Impact studies with satellite observations at the Met Office. Proc. Fourth WMO Workshop on the Impact of Various Observing Systems on NWP, Geneva, Switzerland, WMO, 120-128 pp. [Available online at http://www. wmo.int/pages/prog/www/OSY/Reports/NWP-4_Geneva2008_ index.html.]
5. Gelaro, R., Y. Zhu, and R.M. Errico, 2007: Examination of variousorder adjoint-based approximations of observation impact. Meteor. Z., 16, 685-692.
6. Gelaro, R., R. H. Langland, S. Pellerin, and R. Todling, 2010: The THORPEX Observation Impact Intercomparison Experiment. Mon. Wea. Rev., 138, 4009-4025.
7. Hilton, F., N. C. Atkinson, S. J. English, and J. R. Eyre, 2009: Assimilation of IASI at the Met Office and assessment of its impact through observing system experiments. Quart. J. Roy. Meteor. Soc., 135, 495-505.
8. Kelly, G., and J.-N. Thepaut, 2007: Evaluation of the impact of the space component of the Global Observation System through observing system experiments. ECMWF Newsletter, No. 113, ECMWF, Reading, United Kingdom, 16-28pp. [Available online at http://www.ecmwf.int/publications/newsletters/pdf/113. pdf.]
9. Langland, R. H., and N. Baker, 2004: Estimation of observation impact using the NRL atmospheric variational data assimilation adjoint system. Tellus, 56A, 189-201.
10. Lorenc, A. C., and R. T. Marriott, 2013: Forecast sensitivity to observations in the Met Office Global NWP system. Quart. J. Roy. Meteor. Soc., doi:10.1002/qj.2122, in press.
11. Pavelin, E. G., S. J. English, and J. R. Eyre, 2008: The assimilation of cloud-affected infrared satellite radiances for numerical weather prediction. Quart. J. Roy. Meteor. Soc., 134, 739-751.