Comparing Aircraft Measurements of Atmospheric Compounds with a Regional Photochemical Model - PowerPoint PPT Presentation

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Comparing Aircraft Measurements of Atmospheric Compounds with a Regional Photochemical Model

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Comparing Aircraft Measurements of Atmospheric Compounds ... Electra aircraft. NOAA. Data collected. Position (GPS x,y,z) Air analysis: CO, NOx, O3, PM, VOCs. ... – PowerPoint PPT presentation

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Title: Comparing Aircraft Measurements of Atmospheric Compounds with a Regional Photochemical Model


1
Comparing Aircraft Measurements of Atmospheric
Compounds with a Regional Photochemical Model
  • by Jennifer Schiffelbein
  • CE 394K GISWR
  • Fall 2003

2
Outline
  • Description of Model and Aircraft Data
  • TexAQS 2000 (Southeast Texas)
  • Completed Work
  • Creating grids polygons with ArcInfo
  • CAMx Projection
  • Future Work
  • Spatial Temporal issues
  • Interpolation

3
Description of DataAircraft
  • Electra aircraft
  • NOAA
  • Data collected
  • Position (GPS x,y,z)
  • Air analysis CO, NOx, O3, PM, VOCs..
  • Meteorological
  • Data frequency 1 per second
  • Duration 6-7 hours (26,000 points!)

4
Description of DataModel
  • Predicts chemistry of atmosphere over time
  • Inputs emissions, temperature, meteorology
  • Time scale 1 hour
  • Structure 3-D grid

5
Description of DataModel
  • Structure
  • Chosen domain Houston/Galveston (HG)
  • Box 1 km x 1 km x variable height (m)
  • Horizontal extent 74 cells x 74 cells
  • Vertical extent 21 layers from 0 (ground) to
    4106 m

6
Completed Work
  • Generate grid (fishnet)
  • Example 2x3 grid
  • ArcGIS/ArcInfo Workstation/Arc
  • Arc workspace mydirectory
  • Arc generate stockings
  • Generate fishnet
  • Fishnet Origin Coordinate (X,Y) 0,0
  • Y-Axis Coordinate (X,Y) 0,2
  • Cell Size (width, height) 1,1
  • Number of Rows, Columns 2,3
  • Generate quit
  • Italics prompts
  • mydirectory z\uteid, or c\mystuff
  • red text name of file you must specify

7
Completed Work
  • Generate grid
  • Make map displayable
  • Arc clean stockings drawer
  • Arc build drawer poly
  • Arc addxy drawer
  • Arc quit (to close Arc window)
  • -Directory drawer contains polygon grid
    shapefile
  • -addxy assigns x-y coordinate to center of
    each grid cell
  • Italics prompts
  • mydirectory z\uteid, or c\mystuff
  • red text name of file you must specify

8
Completed Work
  • Generate grid
  • Example 2x3 grid result

9
Completed Work
  • Generate polygon
  • Example 1000x1000 box
  • Arc generate bigbox
  • Generate polygons
  • ID, AUTO X,Y 1, auto
  • X,Y -1000,0 -1000, 1000 0,1000 0,0
  • X,Y end
  • ID, AUTO X,Y end
  • Generate quit
  • Clean bigbox build as with grid

10
Completed Work
  • Generate polygon
  • Example results

11
Completed Work
  • CAMx Projection
  • Projection type Lambert Conformal Conic
  • First true latitude 30N
  • Second true latitude 60N
  • Latitude of origin 40N
  • Central meridian 100W
  • Earth datum Perfect sphere,
  • radius 6370km
  • BUT ArcGIS only offers r 6371 km
  • -exact projection difficult to create

12
Future Work
  • Spatial issues
  • Filter aircraft data points by
  • 1.) Is aircraft within HG domain?
  • 2.) Which vertical layer is aircraft in?

13
Future Work
  • Spatial issues
  • 1.) Exclude all points outside domain

14
Future Work
  • Spatial issue
  • 2.) Which vertical layer is aircraft in?
  • -Horizontal slice -Vertical slice

15
Future Work
  • Spatial issues
  • 2.) Which vertical layer?

16
Future Work
  • Spatial issues
  • 2.) Which vertical layer?
  • Decisiion Assign points ½(hi1-hi)
  • -½(hi-hi-1) to layer at hi

17
Future Work
  • Temporal issue
  • Model hourly species concentration
  • Example 100 pm, CO conc. 50 ppb
  • 200 pm, CO conc. 40 ppb
  • Aircraft second by second concentrtion
  • Example 13208 pm, CO conc. 46 ppb
  • How assign time intervals for comparison?
  • Aircraft points with time between
  • 131 to 230 with 200 model
  • 231 to 330 with 300 model

18
Future Work
  • Interpolation
  • Spatial Analyst Interpolate to Raster
  • Try compare 2-3 methods
  • Consider small, spatially concentrated points
    for each time interval and vertical layer

19
Concluding Remarks
  • Complex problem
  • 3 dimensions and time must be considered
  • Large volume of data
  • 74x74 cells 5476 grid cells per layer
  • 26,000 aircraft data points

20
  • ?
  • ? Q ?
  • ?
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