Results from TexAQS-2000 Modeling Activities
and Related Meteorological Analysis
John Nielsen-Gammon
n-g@tamu.edu
Quick-look model biases (preliminary)
Numbers are in Celsius and represent the observed temperature minus the modeled temperatures. Positive numbers indicate that observations are warm, meaning that the model has a cold bias.
November 2005 presentation
Eight Hour Ozone Conceptual Model reports
Ensemble Kalman Filter reports
Meteorological Data
TexAQS 2000 Meteorological Summary Page (under construction)
- Surface maps, satellite images, weather maps, etc.
Hourly surface data, NARSTO format, August 15-31, 2000
Hourly surface data, NARSTO format, September 1-19, 2000
Other Reports
Modeling log file
- An informal log describing MM5 model development from August 1, 2001 through February 16, 2002.
Initial Modeling of the August 2000 Houston-Galveston Ozone Episode (Dec. 19, 2001 interim report):
(0.7M PDF file)
Evaluation and Comparison of Preliminary Meteorological Modeling for the August 2000 Houston-Galveston
Ozone Episode (Feb. 5, 2002 interim report): (1.8M PDF) (2.6M Word)
(13K summary and TOC)
Meteorogical Modeling for the August 2000 Houston-Galveston Ozone Episode: PBL Characteristics, Nudging
Procedure, and Performance Evaluation (Feb. 28, 2002 report) (1.0M PDF) (2.5M Word)
(13K summary and TOC)
Meteorological Modeling for the August 2000 Houston-Galveston Ozone Episode: METSTAT Statistical Evaluation
and Model Runs from March-June 2002 (June 21, 2002 report) (0.2M PDF)
Trajectory Analysis of Meteorological Simulations of the August 2000 Houston-Galveston Ozone Episode
(August 28, 2002 report) Report text (0.1M PDF) Figures (32.6M PDF)
Meteorological Modeling for the August 2000 Houston-Galveston Ozone Episode: Improved Data Assimilation and
Statistical Evaluation (August 30, 2002 report) (8.7M Word)
(0.4M PDF)
Application of Microwave Temperature Profiler (MTP) Data to MM5 Modeling of the August 2000 Houston-Galveston
Ozone Episode (August 30, 2002 report) (0.1M Word) (0.0M PDF)
Development of a Conceptual Model for Meteorology and Ozone Formation in the Houston-Galveston Metropolitan Area
(August 30, 2002 report) (0.3M PDF)
Meteorological Modeling for the August 2000 Houston-Galveston Ozone Episode: Implementation and Initial Evaluation of GOES Skin Temperature Assimilation (June 3, 2003 report) (1.1M PDF)
Meteorological Modeling for the August 2000 Houston-Galveston Ozone Episode: Mixing Depths in the GOES Skin Temperature Assimilation (August 30, 2003 report) (0.02M PDF)
Additional code needed to output vertical mixing coefficients from MRF PBL:
README file
MM5 Model Output Surface Graphics
Note: all model runs are 4 km grid spacing, 43 vertical levels, 1-way nesting, MRF PBL, and eta nudging on 12 km grid unless
otherwise specified.
- Aug31 run: 42 levels, 2-way, 36 km eta nudging, dry soil
- Sep24redux run: 42 levels, 36 km eta nudging, dry soil
- Oct25/26 run: 42 levels, dry soil
- Oct31 run: 42 levels, 1 km, dry soil
- Dec6 run: dry soil
- Dec16 run: Gayno-Seaman PBL, very dry soil
- Dec30 run: very dry soil
- Feb9 run: very dry; Hong-Pan original f(Ri) and mixing length
- Feb11 run: very dry; Hong-Pan original mixing length
- Feb16 run: as with feb9 but with 54 levels
- Feb18 run: dry soil, 2-way nesting, no nudging on 12 km
- MCNC forecast mode runs
- Feb28 Driver run: Almost final run, with observation nudging, for photochemical modeling
- Mar5 Driver run: Final driver run with a few loose ends cleaned up; for use in photochemical modeling
- Apr22 run: Like driver run, but with modified profiler data assimilation
- May05 run: Like Apr22 run, but with Gayno-Seaman PBL
- Aug302 run: Like Apr22 run, but with corrected profiler data times
- Aug402 run: Like Aug302 run, but with lidar data assimilation on Aug. 25
- Kz2 run: Like Aug402, but with no grid nudging on 12 km domain and with output values of Kz and other variables at 10min resolution
MM5 Model Output Sounding/Profiler Data Comparisons
MM5/Profiler wind comparisons
MM5/Sonde comparisons
Contact person: John W. Nielsen-Gammon
n-g@tamu.edu
979-862-2248
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