Automatic and probabilistic foehn diagnosis with a statistical mixture model

Journal of Applied Meteorology and Climatology

Volumn 53, Issue 3, 2014, Pages 652-659

  Plavcan, David ^a   Mayr, Georg J ^a   Zeileis, Achim ^a  

^a UNIVERSITY OF INNSBRUCK   (Austria)

Author keywords

Classification; Climate classification regimes; Diagnostics; Mountain meteorology; Statistical techniques; Valley mountain flows

Indexed keywords

AUTOMATIC CLASSIFICATION; CLIMATE CLASSIFICATION/REGIMES; MOUNTAIN METEOROLOGIES; RADIATIVE COOLING; STATISTICAL TECHNIQUES; TEMPERATURE DIFFERENCES; VALLEY/MOUNTAIN FLOWS; WIND SPEED AND DIRECTIONS;

CLASSIFICATION (OF INFORMATION); PLASMA DIAGNOSTICS; WIND;

MIXTURES;

ALGORITHM; CLIMATE CLASSIFICATION; FOEHN; NUMERICAL MODEL; PROBABILITY; STATISTICAL ANALYSIS; TIME SERIES; WIND DIRECTION; WIND VELOCITY;

ALPS; AUSTRIA; CENTRAL ALPS; TYROL; WIPP VALLEY;

EID: 84897866563     PISSN: 15588424     EISSN: 15588432     Source Type: Journal    
DOI: 10.1175/JAMC-D-13-0267.1     Document Type: Article

References (24)

1. Armi, L., and G. J. Mayr, 2011: The descending stratified flow and internal hydraulic jump in the lee of the sierras. J. Appl. Meteor. Climatol., 50, 1995-2011, doi:10.1175/JAMC-D-10-05005.1.
2. Conrad, V., 1936: Die klimatologischen Elemente und ihre Abhängigkeit von terrestrischen Einflüssen. Handbuch der Klimatologie, Bornträger, 1146-1166.
3. Dayton, C. M., and G. B. Macready, 1988: Concomitant-variable latent-class models. J. Amer. Stat. Assoc., 83, 173-178, doi:10.1080/01621459.1988.10478584.
4. Defant, A., 1949: Zur Theorie der Hangwinde, nebst Bemerkungen zur Theorie der Berg-und Talwinde. Arch. Meteor. Geophys. Bioklimatol., 1, 421-450, doi:10.1007/BF02247634.
5. Drechsel, S., and G. J. Mayr, 2008: Objective forecasting of foehn winds for a subgrid-scale alpine valley. Wea. Forecasting, 23, 205-218, doi:10.1175/2007WAF2006021.1.
6. Dürr, B., 2008: Automatisiertes Verfahren zur Bestimmung von Föhn inAlpentälern. Arbeitsbericht 223, MeteoSchweiz, 22 pp. [Available online at http://www.meteoschweiz.admin.ch/web/de/forschung/publikationen/alle_pub likationen/ab_223.html.]
7. Gaffin, D. M., 2002: Unexpected warming induced by foehn winds in the lee of the Smoky Mountains. Wea. Forecasting, 17, 907-915, doi:10.1175/1520-0434(2002)017,0907:UWIBFW.2.0.CO;2.
8. Gaffin, D. M., 2007: Foehn winds that produced large temperature differences near the southern Appalachian Mountains. Wea. Forecasting, 22, 145-159, doi:10.1175/WAF970.1.
9. Grün, B., and F. Leisch, 2008: FlexMix version 2: Finite mixtures with concomitant variables and varying and constant parameters. J. Stat. Softw., 28 (4), 1-34. [Available online at http://www.jstatsoft.org/v28/i04/.]
10. Gutermann, T., 1970: Vergleichende Untersuchungen zur Fönhäufigkeit im Rheintal zwischen Chur und Bodensee. Institut Suisse de Météorologie, Schweiz Meteor. Zentralanst. 18, 68 pp. [Available online at http://www.meteoschweiz. admin.ch/web/de/forschung/publikationen/alle_publikationen/vergleichende_untersuchungen.html.]
11. Gutermann, T., B. Dürr, H. Richner, and B. Stephan, 2012: Föhnklimatologie Altdorf: Die lange Reihe (1864-2008) und ihre Weiterführung, Vergleichmit anderen Stationen. Fachbericht 241, MeteoSchweiz, 53 pp. [Available online at http://www.meteoschweiz.admin. ch/web/de/forschung/publikationen/alle_publikationen/fb_241. html.]
12. Hastie, T., R. Tibshirani, and J. Friedman, 2009: T he Elements of Statistical Learning. 2nd ed. Springer, 524 pp.
13. Jackson, P., G. J. Mayr, and S. Vosper, 2013: Dynamically-driven winds. Mountain Weather Research and Forecasting: Recent Progress and Current Challenges, Springer, 121-218.
14. Leisch, F., 2004: FlexMix: A general framework for finite mixture models and latent class regression in R. J. Stat. Softw., 11 (8), 1-18. [Available online at http://www.jstatsoft.org/v11/i08/.]
15. Mayr, G. J., and L. Armi, 2008: Föhn as a response to changing upstream and downstream air masses. Quart. J. Roy. Meteor. Soc., 134, 1357-1369, doi:10.1002/qj.295.
16. Mayr, G. J., and L. Armi, 2010: The influence of downstream diurnal heating on the descent of flow across the Sierras. J. Appl. Meteor. Climatol., 49, 1906-1912, doi:10.1175/2010JAMC2516.1.
17. Mayr, G. J., and L. Armi, and Coauthors, 2007: Gap flows: Results from the Mesoscale Alpine Programme. Quart. J. Roy. Meteor. Soc., 133, 881-896, doi:10.1002/qj.66.
18. McLachlan, G. J., and D. Peel, 2000: Finite Mixture Models. Wiley, 456 pp.
19. Pelletier, J. D., 2013:Arobust, two-parametermethod for the extraction of drainage networks from high-resolution digital elevationmodels (DEMs): Evaluation using synthetic and real-world DEMs. Water Resour. Res., 49, 75-89, doi:10.1029/2012WR012452.
20. Prandtl, L., 1944: Führer durch die Strömungslehre. 2nd ed. Friedrich Vieweg & Sohn, 384 pp.
21. Vergeiner, J., 2004: South foehn studies and a new foehn classification scheme in the Wipp and Inn valley. Ph. D. thesis, University of Innsbruck, 111 pp.
22. Whiteman, C. D., 2000: Mountain Meteorology: Fundamentals and Applications. Oxford University Press, 376 pp.
23. Wilks, D. S., 2011: Statistical Methods in the Atmospheric Sciences. Academic Press, 704 pp.
24. WMO, 1992: International Meteorological Vocabulary. 2nd ed. World Meteorological Organization, 784 pp.