Abstract
This paper presents results of numerical simulations made with a high-resolution multiscale four-dimensional data assimilation system applied over California during two episodes associated with high ozone concentrations in the San Joaquin Valley. The model used here is the nonhydrostatic Pennsylvania State University - National Center for Atmospheric Research Mesoscale Model (MM5). The focus of the paper is the objective validation of the regional (mesoalpha scale) meteorological results. The multiscale data assimilation approach produces highly reliable simulations of the wind, temperature, mixed-layer depth, and moisture, each of which is vital to air quality modeling and a host of other mesoscale applications. -from Authors
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1739-1761 |
| Number of pages | 23 |
| Journal | Journal of Applied Meteorology |
| Volume | 34 |
| Issue number | 8 |
| DOIs | |
| State | Published - Jan 1 1995 |
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All Science Journal Classification (ASJC) codes
- Atmospheric Science
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A multiscale four-dimensional data assimilation system applied in the San Joaquin Valley during SARMAP. Part I : modeling design and basic performance characteristics. / Seaman, N. L.; Stauffer, David R.; Lario-Gibbs, A. M.
In: Journal of Applied Meteorology, Vol. 34, No. 8, 01.01.1995, p. 1739-1761.Research output: Contribution to journal › Article
TY - JOUR
T1 - A multiscale four-dimensional data assimilation system applied in the San Joaquin Valley during SARMAP. Part I
T2 - modeling design and basic performance characteristics
AU - Seaman, N. L.
AU - Stauffer, David R.
AU - Lario-Gibbs, A. M.
PY - 1995/1/1
Y1 - 1995/1/1
N2 - This paper presents results of numerical simulations made with a high-resolution multiscale four-dimensional data assimilation system applied over California during two episodes associated with high ozone concentrations in the San Joaquin Valley. The model used here is the nonhydrostatic Pennsylvania State University - National Center for Atmospheric Research Mesoscale Model (MM5). The focus of the paper is the objective validation of the regional (mesoalpha scale) meteorological results. The multiscale data assimilation approach produces highly reliable simulations of the wind, temperature, mixed-layer depth, and moisture, each of which is vital to air quality modeling and a host of other mesoscale applications. -from Authors
AB - This paper presents results of numerical simulations made with a high-resolution multiscale four-dimensional data assimilation system applied over California during two episodes associated with high ozone concentrations in the San Joaquin Valley. The model used here is the nonhydrostatic Pennsylvania State University - National Center for Atmospheric Research Mesoscale Model (MM5). The focus of the paper is the objective validation of the regional (mesoalpha scale) meteorological results. The multiscale data assimilation approach produces highly reliable simulations of the wind, temperature, mixed-layer depth, and moisture, each of which is vital to air quality modeling and a host of other mesoscale applications. -from Authors
UR - http://www.scopus.com/inward/record.url?scp=0029414007&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029414007&partnerID=8YFLogxK
U2 - 10.1175/1520-0450(1995)034<1739:AMFDDA>2.0.CO;2
DO - 10.1175/1520-0450(1995)034<1739:AMFDDA>2.0.CO;2
M3 - Article
VL - 34
SP - 1739
EP - 1761
JO - Journal of Applied Meteorology
JF - Journal of Applied Meteorology
SN - 0894-8763
IS - 8
ER -