Improving hurricane prediction through innovative global modeling

Operations Research/ Computer Science Interfaces Series

Volumn 37, Issue , 2007, Pages 1-14

  Atlas, Robert ^a   Lin, Shian Jiann ^b   Shen, Bo Wen ^c   Reale, Oreste ^d   Yeh, Kao San ^d  

^a ATLANTIC OCEANOGRAPHIC AND METEOROLOGICAL LABORATORY   (United States)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

^d UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

Global modeling; Hurricane prediction

Indexed keywords

EID: 84888592927     PISSN: 1387666X     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-0-387-48793-9_1     Document Type: Article

References (11)

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2. Atlas R, Hou AY, Reale O (2005b) Application of SeaWinds scatterometer and TMISSM/I rain rates to hurricane analysis and forecasting. ISPRS J Photogram Remote Sens 59: 233-243.
3. Kalnay E (2003) Atmospheric modeling, data assimilation and predictability. Cambridge Univ. Press.
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5. Lin S-J, Rood RB (1996) Mulddimensional flux form semi-Lagrangian transport schemes. Mon Wea Rev 124: 2046-2070.
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8. Pielke RA, Landsea CW (1998) Normalized hurricane damages in the United States: 1925-1995. Wea Forecast 13: 621-631.
9. Shen B-W, Atlas R, Reale O, Lin S-J, Chem J-D, Chang J, Henze C, Li J-L (2006a) Hurricane forecasts with a global mesoscale-resolving model: Preliminary results with Hurricane Katrina (2005). Geophys Res Let 33: doi: 10. 1029/2006GL026143.
10. Shen B-W, Atlas R, Chem J-D, Reale O, Lin S-J, Lee T, Chang J (2006b) The 0. 125 degree finite-volume general circulation model on the NASA Columbia supercomputer: Preliminary simulations of mesoscale vortices. Geophys Res Let 33: doi: 10. 1029/2005GL024594.
11. Yeh K-S, Lin S-J, Rood RB (2002) Applying local discretization methods in the NASA finite-volume general circulation model. Comp Sci Eng 4: 49-54.