Fine Scale Meteorology & Air Quality Models - School of Architecture ...

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ASI2_Lecture 3_7/12/2011 Cell row: Cell column R 2 Regression model of Shape & Scale Wilmington grid cell 11:2 Shape Linear-form Log-form 11:2 (SW) 0.26 0.28 11:3 (SE) 0.27 0.35 12:2 (NW) 0.18 0.17 12:3 (NE) 0.08 0.09 Cell row: Cell column R 2 Scale Linear-form Log-form 11:2 (SW) 0.65 0.73 11:3 (SE) 0.62 0.81 12:2 (NW) 0.65 0.77 12:3 (NE) 0.68 0.80 C 12km = Concentration (12-km cell value) E 12km = Emissions (12-km cell value) σ E1km = Std. Dev. of Emission (based on 1-km cell value) Skew E1km = Skewness of Emission (based on 1-km cell value) Kurt E1km = Kurtosis of Emission (based on 1-km cell value) U* 12km = Ustar (12-km cell value) W* 12km = Wstar (12-km cell value) PBL 12km = PBL height (12-km cell value) WS10 12km = 10m Wind Speed (12-km cell value) WD10 12km = 10m Wind Direction (12-km cell value) T10 12km = 10m Temperature (12-km cell value) Q10 12km = 10m Mixing Ratio (12-km cell value) Linear form: Shape = 0.28+0.33 C 12km -0.19 E 12km +0.26 σ E1km -0.74Skew E1km +0.75Kurt E1km -0.33 U* 12km +0.10PBL 12km +0.36WS10 12km -0.09WD10 12km -0.14T10 12km +0.08Q10 12km Scale = 0.13+0.69 C 12km +0.11 E 12km -0.04Kurt E1km -0.27U* 12km +0.21W* 12km -0.10 PBL 12km + 0.04 T10 12km Logarithmic form: Shape = -0.22+0.37 C 12km –7.4x10 -05 E 12km -0.33 σ E1km -0.30k E12km +1.50Skew E1km +0.77Kurt E1km +0.14WS10 12km -0.01WD10 12km -0.17Q10 12km Scale = 1.25+0.74 C 12km +4.8x10 -05 E 12km +0.08 σ E1km -1.34k E12km 2.60Skew E1km +0.74Kurt E1km -0.19WS10 12km ASI 2: URBAN -0.01WD10 CLIMATE 12km AND -0.07Q10 AIR POLLUTION 12km, School of Architecture, The Chinese University of Hong Kong, Hong Kong, 7-8 Dec 2011 Fitted Shape and Scale vs regression model 1 0.8 0.6 Series1 Series2 Series3 0.4 0.2 0 ‐0.2 1 101 201 301 401 501 601 ‐0.4 1 0.8 0.6 0.4 0.2 0 ‐0.2 Series1 Series2 Series3 1 101 201 301 401 501 601 Shape based on Regression 1 0.8 0.6 0.4 0.2 0 0 0.2 0.4 0.6 0.8 1 ‐0.4 Best it Shape ASI 2: URBAN CLIMATE AND AIR POLLUTION School of Architecture, The Chinese University of Hong Kong, Hong Kong, 7-8 Dec 2011 30
ASI2_Lecture 3_7/12/2011 SGV parameterization model • Framework and template based upon a given ensemble set of a priori simulations. • Framework and template designed to provide on-line complimentary gridded output to coarse (operational) CMAQ simulations • Given growing availability of annual regional-scale CMAQ simulations, a similar approach could be satisfactorily applied and extended to very coarse grid scales, e.g., global and climate model simulations. • Potential for population exposure assessment application • Model evaluation and “Weight of Evidence” regulatory applications ASI 2: URBAN CLIMATE AND AIR POLLUTION School of Architecture, The Chinese University of Hong Kong, Hong Kong, 7-8 Dec 2011 • Modeling meso‐scale to urban‐scale features requires care when selecting sets of modeling parameterizations; one size (set) may not fit all! • There are currently a variety of modeling approaches for the urban canopy ranging from slab (Reynolds averaging) to single and multiple canopy layers. Each approach has advantages and limitations, strengths and weaknesses, and its suitability may be more dependent on the required application (“Fit for Purpose” quoting Martilli). • Model results are sensitive to the choice of grid size and parameterization schemes; model evaluation approaches will need to be robust and requiring specialized datasets. • Requirements for urban modeling can differ significantly from that of meso‐scale for urban canopies that are deep and complex. • The modeling results depicting characteristic fine scale spatial structure is not as yet verified. Some important and critical issues remain to be resolved regarding simulation in the Terra Incognita regime). • Advanced urban modeling makes possible numerical experiments for predicting changes in the urban climate, UHI, and air quality of urban environments. • Databases of buildings are becoming increasingly available facilitating realization of operational feasibility for modeling meteorology and air quality for individual cities. • The modeling framework supporting urban scale modeling is emerging, but the science bases and insights are growing rapidly. ASI 2: URBAN CLIMATE AND AIR POLLUTION School of Architecture, The Chinese University of Hong Kong, Hong Kong, 7-8 Dec 2011 31
Page 1 and 2: ASI2_Lecture 3_7/12/2011 Croucher A
Page 3 and 4: ASI2_Lecture 3_7/12/2011 Multi-Scal
Page 5 and 6: ASI2_Lecture 3_7/12/2011 PBL scheme
Page 7 and 8: ASI2_Lecture 3_7/12/2011 Part 2b: U
Page 9 and 10: ASI2_Lecture 3_7/12/2011 Sources of
Page 11 and 12: ASI2_Lecture 3_7/12/2011 HYPOTHESIS
Page 13 and 14: ASI2_Lecture 3_7/12/2011 Geo‐Refe
Page 15 and 16: ASI2_Lecture 3_7/12/2011 Cooling Ca
Page 17 and 18: ASI2_Lecture 3_7/12/2011 Crossroads
Page 19 and 20: ASI2_Lecture 3_7/12/2011 ACM-2 BouL
Page 21 and 22: ASI2_Lecture 3_7/12/2011 erturbatio
Page 23 and 24: ASI2_Lecture 3_7/12/2011 Suggested
Page 25 and 26: ASI2_Lecture 3_7/12/2011 Sensitivit
Page 27 and 28: ASI2_Lecture 3_7/12/2011 Dependence
Page 29: ASI2_Lecture 3_7/12/2011 HCHO Histo

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