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Numerical Simulation of A Prognostic Meteorological Model Using Four-Dimensional Observational Data Assimilation in Ohio

Lin, Peng
http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1195160699

Abstract Details

2007, Master of Science (MS), Ohio University, Chemical Engineering (Engineering).
The Fifth Generation Pennsylvania State University/National Center for Atmospheric Research (PSU/NCAR) Mesoscale Model system (MM5) was applied to simulate precipitation in the Ohio region for summer season in 2004. Observational data were nudged in MM5 model using four-dimensional data assimilation (FDDA). Eight sensitivity runs were tested. The model results were compared with observational data in the fields of precipitation, temperature, wind and humidity. The combinations of the physics schemes and FDDA that most improved precipitation modeling performance among the sensitivity runs were applied to the rest episodes of the related month. The model results were compared against observed precipitation data retrieved from National Oceanic and Atmospheric Administration/National Climatic Data Center and gridded precipitation analysis. The results showed that the model performance was significantly enhanced by introducing FDDA and that the combination of Kain-Fritsch cumulus parameterization scheme and Pleim-Xiu land-surface scheme provided the most improvement in precipitation prediction among all sensitivity runs.
Kevin Crist (Advisor)
108 p.
Mesoscale Model System; MMS; four-dimensional data assimilation; FDDA; Kain-Fritsch; Pleim-Xiu

Recommended Citations

Citations

  • Lin, P. (2007). Numerical Simulation of A Prognostic Meteorological Model Using Four-Dimensional Observational Data Assimilation in Ohio [Master's thesis, Ohio University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1195160699

    APA Style (7th edition)

  • Lin, Peng. Numerical Simulation of A Prognostic Meteorological Model Using Four-Dimensional Observational Data Assimilation in Ohio. 2007. Ohio University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1195160699.

    MLA Style (8th edition)

  • Lin, Peng. "Numerical Simulation of A Prognostic Meteorological Model Using Four-Dimensional Observational Data Assimilation in Ohio." Master's thesis, Ohio University, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1195160699

    Chicago Manual of Style (17th edition)

ohiou1195160699
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© 2007, all rights reserved.
This open access ETD is published by Ohio University and OhioLINK.