UPPER LEVEL WINDS (700 mb) - PowerPoint PPT Presentation

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UPPER LEVEL WINDS (700 mb)

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Additional simulations on new 106 CPU cluster. Use planned 2005-6 Houston field-study data to determine atm and (GIS/RS) urban parameters ... – PowerPoint PPT presentation

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Title: UPPER LEVEL WINDS (700 mb)


1
Impacts from urban rural surface modifications
on meteorology and air quality in Houston
preliminary results Haider Taha haider_at_altostrat
us.com Altostratus Inc. 940 Toulouse Way,
Martinez, CA 94553 (925) 228-1573 Robert
Bornstein San Jose State University pblmodel_at_hotma
il.com Rochelle Balmori San Jose State
University balmori_at_met.sjsu.edu For GUM
Workshop, JULY 2004
2
OUTLINE
  • uMM5 CONFIGURATION
  • SYNOPTIC SUMMARY 700 MB SFC
  • DOMAIN 1 MM5 SYNOPTIC WINDS VS NWS
  • MM5 WINDS (MESO CONVENTION)
  • FULL BARB 1 M/S
  • FLAG 5 M/S
  • DOMAINS 2-4 MM5 WINDs
  • DOMAIN 5 uMM5 TEMPs
  • CONCLUSION

3
Work in progress
  • Model EPA uMM5 (Dupont, Burian, et al.)
  • Study Aug-Sept Houston (Texas 00) 03 episode
  • Improve uMM5 input and physics
  • Evaluate uMM5 vs. MM5 performance
  • Evaluate uMM5 sensitivity to LU/LC changes

4
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5
Urbanization Techniques
  • Urbanize surface, SBL, PBL momentum,
  • thermo, TKE Eqs
  • Allows prediction within UCL
  • From vegetation canopy-model of Yamada (1982)
  • Veg parameters replaced with urban (GIS/RS) terms
  • Brown and Williams 1998
  • Masson 2000
  • Sievers 2001
  • Martilli et al. 2001 (in TVM)
  • Dupont et al. 2003 (in MM5)
  • LLNL 2004

6
From Masson (2000)
7
From Masson (2000)
8
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9
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11
5-domain configuration, D0-5 is urbanized
Resolution 108, 36, 12, 4, 1 km Grid dimensions
(excluding surface) 435328, 555528,
10010028, 13615128, 13314148.
12
MM5 input as f (x, y) in D-05
  • land use (38 categories)
  • roughness elements
  • anthropogenic heat as f (t)
  • vegetation and building heights
  • paved surface fractions
  • drag-force coefficients for buildings vegy
  • building height-to-width, wall-to-plan,
  • impervious-area ratios
  • building frontal, building plan, and rooftop
  • area-densities
  • vegetation top- and area-densities
  • root zone and sub-soil layers characterization
  • vegetation-canopy characterization, stomatal
    resistance
  • e, c?, a, etc. of walls and roofs

13
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14
Base-case vegetation cover (urban min)
15
Modeled increases in vegetation cover (urban max)
16
NWS SYNOPTICS
17
1200 UTC (0700 DST) 24 AUG 00
  • 700 mb
  • Pre-episode AM
  • SE flow NE of Houston

18
1200 UTC (0500 DST) 25 AUG 00
  • 700 mb
  • Episode AM
  • Opposing NE flow NE of Houston
  • Will cause con with sfc SB V

19
1200 UTC (0700 DST) 25 AUG
  • Sfc chart
  • Episode AM
  • Not much detail
  • Similar to day b/f after

20
D-01 MM5 WINDS
21
1200 UTC (0700 DST) 24 AUG
  • 700 mb
  • Pre-episode
  • Weak off- shore L (not in NWS)
  • Weak NE flow NE of city

22
1200 UTC (0700 DST) 25 AUG
  • 700 mb
  • Episode AM
  • Stronger off-shore L
  • Stronger NE ff NE of city
  • Will cause con with SB ff

23
1800 DST 23 AUG
  • Sfc chart
  • Pre-episode
  • On-shore SB
  • Not much difference at same time on next 2 days
  • Need to see inner domains

24
D-02 to -04 MM5 Output
25
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27
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28
D-05 uMM5 Output
29
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30
Daytime (end) 2100 DST 21 AUG
  • Upper L MM5
  • Upper R uMM5
  • Lower L
  • MM5-uMM5
  • uMM5? 1 K warmer
  • Blob is LU/LC error

31
Nighttime (end) 0900 DST 22 AUG
  • Upper L MM5
  • Lower L uMM5
  • Upper R
  • MM5-uMM5
  • uMM5? 2 K cooler

32
Explanation of uMM5 UHI UCI
  • Wet soil TI gt urban TI gt dry soil TI
  • Urban an area surrounded by wet soil thus has
  • Daytime UHI (as urban area warms faster than
    soil)
  • Nighttime UCI (as urban area cools faster than
    soil)
  • Reverse true with dry rural soil
  • Current results thus consistent with wet rural
    soil (as expected) around Houston, as uMM5
    produced daytime warming nighttime cooling over
    urban Houston

33
Ongoing efforts
  • Additional analysis of current simulation results
  • Additional simulations on new 106 CPU cluster
  • Use planned 2005-6 Houston field-study data to
    determine atm and (GIS/RS) urban parameters
  • Develop parameterizations to replace current M-O
    SBL formulations
  • Link urban CFD meso-models for
    Emergency-Response applications
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