Estimation of TAMDAR observational error and assimilation experiments

Weather and Forecasting

Volumn 27, Issue 4, 2012, Pages 856-877

  Gao, Feng ^a,b   Zhang, Xiaoyan ^a   Jacobs, Neil A ^c   Huang, Xiang Yu ^a   Zhang, Xin ^a   Childs, Peter P ^c  

^a NATIONAL CENTER FOR ATMOSPHERIC RESEARCH   (United States)

^b NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^c AirDat LLC   (United States)

Author keywords

Aircraft observations; Data assimilation; Data processing; Data quality control; Diagnostics; Mesoscale models

Indexed keywords

AIRCRAFT OBSERVATIONS; DATA ASSIMILATION; DATA QUALITY CONTROL; DATA-SOURCES; HUMIDITY MEASUREMENTS; LOW WIND SPEED; MESOSCALE MODEL; NUMERICAL WEATHER PREDICTION; OBSERVATIONAL ERRORS; SHORT-TERM FORECASTS; SPATIO-TEMPORAL RESOLUTION; STANDARD DEVIATION; STATISTICAL COMPARISONS; TROPOSPHERIC AIRBORNE METEOROLOGICAL DATA REPORTING; VARIATIONAL DATA ASSIMILATION; WEATHER RESEARCH AND FORECASTING MODELS; WIND DIRECTIONS; WIND SPEED;

AIRCRAFT; ATMOSPHERIC HUMIDITY; BOUNDARY LAYERS; DATA PROCESSING; ERROR STATISTICS; ERRORS; EXPERIMENTS; METEOROLOGY; PLASMA DIAGNOSTICS; RADIOSONDES; THREE DIMENSIONAL; WIND EFFECTS;

WEATHER FORECASTING;

ATMOSPHERIC MODELING; DATA ASSIMILATION; DATA PROCESSING; ERROR ANALYSIS; ESTIMATION METHOD; EXPERIMENTAL STUDY; MESOSCALE METEOROLOGY; RADIOSONDE; RELATIVE HUMIDITY; WEATHER FORECASTING;

EID: 84868313598     PISSN: 08828156     EISSN: 15200434     Source Type: Journal    
DOI: 10.1175/WAF-D-11-00120.1     Document Type: Article

References (42)

1. Anderson, A., 2006: AirDat system for ensuring TAMDAR data quality. Preprints, 10th Symp. on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, Atlanta, GA, Amer. Meteor. Soc., 9.3. [Available online at http://ams.confex.com/ams/pdfpapers/101342.pdf.]
2. Ballish, B. A., and K. V. Kumar, 2008: Systematic differences in aircraft and radiosonde temperatures. Bull. Amer. Meteor. Soc., 89, 1689-1707.
3. Barker, D. M., W. Huang, Y.-R. Guo, A. J. Bourgeois, and Q. N. Xiao, 2004: A three-dimensional variational data assimilation system for MM5: Implementation and initial results. Mon. Wea. Rev., 132, 897-914.
4. Benjamin, S. G., B. E. Schwartz, and R. E. Cole, 1999: Accuracy of ACARS wind and temperature observations determined by collocation. Wea. Forecasting, 14, 1032-1038.
5. Benjamin, S. G., B. D. Jamison, W. R. Moninger, S. R. Sahm, B. E. Schwartz, and T. W. Schlatter, 2010: Relative short-range forecast impact from aircraft, profiler, radiosonde, VAD, GPS-PW, METAR, and mesonet observations via the RUC hourly assimilation cycle. Mon. Wea. Rev., 138, 1319-1343.
6. Brooks, H. E., and C. A. Doswell III, 1996: A comparison of measures-oriented and distributions-oriented approaches to forecast verification. Wea. Forecasting, 11, 288-303.
7. Courtier, P., J.-N. Thépaut, and A. Hollingsworth, 1994: A strategy for operational implementation of 4D-Var, using an incremental approach. Quart. J. Roy. Meteor. Soc., 120, 1367-1387.
8. Daley, R., 1991: Atmospheric Data Analysis. Cambridge University Press, 457 pp.
9. Daniels, T. S., G. Tsoucalas, M. Anderson, D. Mulally, W.Moninger, and R. Mamrosh, 2004: Tropospheric Airborne Meteorological Data Reporting (TAMDAR) sensor development. Preprints, 11th Conf. on Aviation, Range, and Aerospace Meteorology, Hyannis, MA, Amer. Meteor. Soc., 7.6. [Available online at http://ams.confex.com/ams/pdfpapers/81841.pdf.]
10. Daniels, T. S., W. R. Moninger, and R. D. Mamrosh, 2006: Tropospheric Airborne Meteorological Data Reporting (TAMDAR) overview. Preprints, 10th Symp. on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, Atlanta, GA, Amer. Meteor. Soc., 9.1. [Available online at http://ams.confex.com/ams/pdfpapers/104773.pdf.]
11. Desroziers, G., and S. Ivanov, 2001: Diagnosis and adaptive tuning of information error parameters in a variational assimilation. Quart. J. Roy. Meteor. Soc., 127, 1433-1452.
12. Desroziers, G., L. Berre, B. Chapnik, and P. Poli, 2005: Diagnosis of observation, background and analysis error statistics. Quart. J. Roy. Meteor. Soc., 131, 3385-3396.
13. DiMego, G. J., K. E. Mitchell, R. A. Petersen, J. E. Hoke, J. P. Gerrity, J. J. Tuccillo, R. L. Wobus, and H.-M. Juang, 1992: Changes to NMC's Regional Analysis and Forecast System. Wea. Forecasting, 7, 185-198.
14. Drüe, C., W. Frey, A. Hoff, and T. Hauf, 2008: Aircraft typespecific errors in AMDAR weather reports from commercial aircraft. Quart. J. Roy. Meteor. Soc., 134, 229-239.
15. Fischer, A., 2006: The use of TAMDAR (Tropospheric Airborne Meteorological Data Reporting) as a convective forecasting supplement in the northern plains and upper Midwest. Preprints, 10th Symp. on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, Atlanta, GA, Amer. Meteor. Soc., 9.6. [Available online at http://ams.confex.com/ams/pdfpapers/104888.pdf.]
16. Hollingsworth, A., and P. Lónnberg, 1986: The statistical structure of short-range forecast errors as determined from radiosonde data. Part I: The wind field. Tellus, 38A, 111-136.
17. Hong, S.-Y., Y. Noh, and J. Dudhia, 2006: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev., 134, 2318-2341.
18. Huang, X.-Y., 2009: The 2009 WRFDA overview. Extended Abstracts, WMO Data Assimilation Symp., Melbourne, WMO. [Available online at http://www.cawcr.gov.au/staff/pxs/wmoda5/ExtendedAbstracts/Huang.pdf.]
19. Ide, K., P. Courtier, M. Ghil, and A. C. Lorenc, 1997: Unified notation for data assimilation: Operational, sequential and variational. J. Meteor. Soc. Japan, 75, 181-189.
20. Jacobs, N., P. Childs, M. Croke, and Y. Liu, 2008: The effects of horizontal grid spacing and vertical resolution on TAMDAR data assimilation in short-range mesoscale forecasts. Preprints, 12th Symp. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, New Orleans, LA, Amer. Meteor. Soc., 15B.6. [Available online at http://ams.confex.com/ams/pdfpapers/132091.pdf.]
21. Jacobs, N., P. Childs, M. Croke, Y. Liu, and X. Y. Huang, 2010: An update on the TAMDARsensor network deployment. Preprints, 14th Symp. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, Atlanta, GA, Amer. Meteor. Soc., 8.3. [Available online at http://ams.confex.com/ams/pdfpapers/164835.pdf.]
22. Kain, J. S., 2004: The Kain-Fritsch convective parameterization: An update. J. Appl. Meteor., 43, 170-181.
23. Liu, Y., and Coauthors, 2010: Evaluation of TAMDAR data impact on predicting warm-season convection using the NCAR-AirDat WRF-basedRTFDDAsystem. Preprints, 14th Symp. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, Atlanta, GA, Amer.Meteor. Soc., 8.6. [Available online at http://ams.confex. com/ams/pdfpapers/165099.pdf.]
24. Lorenc, A. C., 1986: Analysis methods for numerical weather prediction. Quart. J. Roy. Meteor. Soc., 112, 1177-1194.
25. Lorenc, A. C, and Coauthors, 2000: TheMet. Office global three-dimensional variational data assimilation scheme.Quart. J. Roy.Meteor. Soc., 126, 2991-3012.
26. Mamrosh, R. D., E. S. Brusky, J. K. Last, E. J. Szoke, W. R. Moninger, and T. S. Daniels, 2006: Applications ofTAMDAR aircraft data reports in NWS forecast offices. Preprints, 14th Symp. on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, Atlanta, GA, Amer.Meteor. Soc., 9.4. [Available online at http://ams.confex. com/ams/pdfpapers/104842.pdf.]
27. Miloshevich, L. M., H. Vömel, D. N. Whiteman, and T. Leblanc, 2009: Accuracy assessment and correction of Vaisala RS92 radiosonde water vapor measurements. J. Geophys. Res., 114, D11305, doi:10.1029/2008JD011565.
28. Moninger, W. R., R. D. Mamrosh, and P. M. Pauley, 2003: Automated meteorological reports from commercial aircraft. Bull. Amer. Meteor. Soc., 84, 203-216.
29. Moninger, W. R., S. G. Benjamin, B. D. Jamison, T. W. Schlatter, T. L. Smith, and E. J. Szoke, 2010: Evaluation of regional aircraft observations using TAMDAR. Wea. Forecasting, 25, 627-645.
30. Mulally, D., and A. Anderson, 2011: Correction of aircraft flux valve based heading for two-dimensional winds aloft calculations using weather model comparisons. Preprints, 15th Symp. on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, Seattle, WA, Amer. Meteor. Soc., 5.6. [Available online at http://ams.confex.com/ams/91Annual/webprogram/Paper184928.html.]
31. O'Carroll, A. G., J. R. Eyre, and R. W. Saunders, 2008: Three-way error analysis between AATSR, AMSR-E, and in situ sea surface temperature observations. J. Atmos. Oceanic Technol., 25, 1197-1207.
32. Painting, D. J., 2003: AMDAR reference manual. WMO, 84 pp. [Available online at http://amdar.wmo.int/Publications/AMDAR_Reference_Manual_2003.pdf.]
33. Parrish, D. F., and J. C. Derber, 1992: The National Meteorological Center's spectral statistical-interpolation analysis system. Mon. Wea. Rev., 120, 1747-1763.
34. Richner, H., and P. D. Phillips, 1981: Reproducibility of VIZ radiosonde data and some sources of error. J. Appl. Meteor., 20, 954-962.
35. Schwartz, B. E., and S. G. Benjamin, 1995: A comparison of temperature and wind measurements from ACARSequipped aircraft and rawinsondes. Wea. Forecasting, 10, 528-544.
36. Schwartz, B. E., S. G. Benjamin, S. M. Green, and M. R. Jardin, 2000: Accuracy of RUC-1 and RUC-2 wind and aircraft trajectory forecasts by comparison with ACARS observations. Wea. Forecasting, 15, 313-326.
37. Seidel, D. J., B. Sun, M. Pettey, and A. Reale, 2011: Global radiosonde balloon drift statistics. J. Geophys. Res., 116, D07102, doi:10.1029/2010JD014891.
38. Skamarock, W. C., and Coauthors, 2008: A description of the Advanced Research WRF version 3. NCAR Tech. Note NCAR/TN-4751STR, 113 pp.
39. Smith, T. L., and S. G. Benjamin, 1994: Relative impact of data sources on a data assimilation system. Preprints, 10th Conf. on Numerical Weather Prediction, Portland, OR, Amer. Meteor. Soc., 491-493.
40. Sullivan, J., L. Gandin, A. Gruber, and W. Baker, 1993: Observation error statistics for NOAA-10 temperature and height retrievals. Mon. Wea. Rev., 121, 2578-2587.
41. Szoke, E., B. D. Jamison, W. R. Moninger, S. Benjamin, B. Schwartz, and T. L. Smith, 2006: Impact of TAMDAR on RUC forecasts: Case studies. Preprints, 10th Symp. on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, Atlanta, GA, Amer. Meteor. Soc., 9.9. [Available online at http://ams.confex.com/ams/pdfpapers/104059.pdf.]
42. Wang, H., X.-Y.Huang, Y. Chen, X. Zhang, D. Stark, and P. Childs, 2009: The impact of TAMDAR observations on Hurricane Ike (2008) forecast using WRFDA system. 10th WRF Users' Workshop, Boulder, CO, NCAR, P2A.6. [Available online at http://www.mmm.ucar.edu/wrf/users/workshops/WS2009/abstracts/P2A-06.pdf.]