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Weather Forecasting Chapter 9 Dr. Craig Clements SJSU Met 10

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Weather Forecasting Chapter 9. Dr. Craig Clements SJSU Met 10. How to prepare a Weather Forecast. Acquisition of weather information Weather forecasting tools Weather forecasting methods - PowerPoint PPT Presentation

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Page 1: Weather Forecasting Chapter 9

Weather ForecastingChapter 9

Dr. Craig ClementsSJSU Met 10

Page 2: Weather Forecasting Chapter 9

How to prepare a Weather Forecast

• Acquisition of weather information• Weather forecasting tools• Weather forecasting methods

• Forecasts provide information for the public (advisories). This information can be a critical safety issue, such as thunderstorms, fire weather conditions, etc.

Page 3: Weather Forecasting Chapter 9

Figure 1, p. 237

Flags indicating advisories and warnings in maritime areas.

Page 4: Weather Forecasting Chapter 9

Weather data acquisition

Page 5: Weather Forecasting Chapter 9

NOAA Weather Radar

Page 6: Weather Forecasting Chapter 9

Fig. 9-2, p. 238

Doppler radar data from Melbourne, Florida, on March 25, 1992, during the time of a severe hailstorm that caused $60 million in damages in the Orlando area.

In the table near the top of the display, the hail algorithm determined that there was 100 percent probability that the storm was producing hail and severe hail. The algorithm also estimated the maximum size of the hailstones to be greater than 3 inches.

A forecaster can project the movement of the storm and adequately warn those areas in the immediate path of severe weather.

Page 7: Weather Forecasting Chapter 9

Fig. 9-3, p. 239

A Meteogram illustrating predicted weather elements

Page 8: Weather Forecasting Chapter 9

Fig. 9-4, p. 239

A sounding of air temperature, dew point, and winds.

Page 9: Weather Forecasting Chapter 9

Fig. 9-5, p. 240

The geostationary satellite moves through space at the same rate that the earth rotates, so it remains above a fixed spot on the equator and monitors one area constantly.

geostationary satellite

Page 10: Weather Forecasting Chapter 9

Fig. 9-6, p. 241

Polar-orbiting satellites scan from north to south, and on each successive orbit the satellite scans an area farther to the west.

Polar-orbiting satellites

Page 11: Weather Forecasting Chapter 9

Generally, the lower the cloud, the warmer its top.

Warm objects emit more infrared energy than do cold objects.

Thus, an infrared satellite picture can distinguish warm, low (gray) clouds from cold, high (white) clouds

Page 12: Weather Forecasting Chapter 9

Three Satellite Products (tools) for the forecaster

•Visible satellite images

•Infrared images

•Water vapor images

Page 13: Weather Forecasting Chapter 9

Fig. 9-9a, p. 242

Clouds in the visible image appear white

A visible image of the eastern Pacific Ocean

Page 14: Weather Forecasting Chapter 9

Fig. 9-9b, p. 242

Infrared satellite image of the eastern Pacific Ocean

Notice that the low clouds in the infrared image appear in various shades of gray

Page 15: Weather Forecasting Chapter 9

Fig. 9-10, p. 243

An enhanced infrared image

Page 16: Weather Forecasting Chapter 9

Fig. 9-11, p. 243

The darker areas represent dry air aloft; the brighter the gray, the more moist the air in the middle or upper troposphere.

Bright white areas represent dense cirrus clouds or the tops of thunderstorms.

The area in color represents the coldest cloud tops.

The swirl of moisture off the West Coast represents a well-developed mid-latitude cyclonic storm.

Infrared water vapor image

Page 17: Weather Forecasting Chapter 9

Fig. 9-1, p. 238

AWIPS computer work station provides various weather maps

Page 18: Weather Forecasting Chapter 9

Numerical Weather Models

A forecast chart is produced by computers solving the equations of motion and heat for the atmosphere. These charts are called prognostic charts of progs.

These computer simulations solve the equations more quickly than can be done by hand.

For example, to produce a 24-hr forecast chart for the Northern Hemisphere it requires hundreds of millions of mathematical calculations. It would take meteorologists working non-stop with hand calculators years to produce a single chart!

Page 19: Weather Forecasting Chapter 9

Fig. 9-12a, p. 245

500-mb progs for 7 P.M. EST, July 12, 2006 — 48 hours into the future

A resolution (grid spacing) of 12 km

Page 20: Weather Forecasting Chapter 9

Fig. 9-12b, p. 245

500-mb progs for 7 P.M. EST, July 12, 2006 — 48 hours into the future

GFS model with a resolution of 60 km

Page 21: Weather Forecasting Chapter 9

Fig. 9-13, p. 245

The 500-mb analysis for 7 P.M. EST, July 12, 2006

Page 22: Weather Forecasting Chapter 9

Fig. 9-14, p. 247

Ensemble 500-mb forecast chart for July 21, 2005 (48 hours into the future).

The chart is constructed by running the model 15 different times, each time beginning with a slightly different initial condition.

The blue lines represent the 5790-meter contour line; the red lines, the 5940-meter contour line; and the green line, the 500-mb 25-year average, called climatology.

Page 23: Weather Forecasting Chapter 9

Figure 2, p. 248

Page 24: Weather Forecasting Chapter 9

Figure 3, p. 248

Page 25: Weather Forecasting Chapter 9

Fig. 9-16, p. 250

Page 26: Weather Forecasting Chapter 9

Fig. 9-17, p. 251

The 90-day outlook for (a) precipitation and (b) temperature for February, March, and April, 1999.

Page 27: Weather Forecasting Chapter 9

Fig. 9-18, p. 253

A halo around the sun (or moon) means that rain is on the way.