Maps and Remote Sensing AOSC 200 Tim Canty

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Maps and Remote Sensing AOSC 200 Tim Canty Class Web Site: http://www.atmos.umd.edu/~tcanty/aosc200 Topics for today: Weather Maps Radar Satellite Observations Lecture 04 Feb 7 2019 1 Today s Weather Map http://www.wpc.ncep.noaa.gov/sfc/namussfcwbg.gif 2

Thursday s Forecast from Tuesday http://www.wpc.ncep.noaa.gov/#page=ovw 3 Today s Forecast http://www.wpc.ncep.noaa.gov/#page=ovw 4

Tomorrow s Forecast http://www.wpc.ncep.noaa.gov/#page=ovw 5 Saturday s Forecast http://www.wpc.ncep.noaa.gov/#page=ovw 6

Temperature Maps Temperature maps are often colored based on how warm (red) or cold (blue) the surface temperatures are Fig 2-2 Weather: A Concise Introduction 7 Temperature Maps The black lines indicate isotherms or lines of constant temperature. These maps help us identify the air masses that are controlling surface conditions and the temperature frontal boundaries between them Fig 2-2 Weather: A Concise Introduction 8

Temperature Fronts A cold front is a region where cold air is replacing warm air. It s indicated by a blue line with blue triangles pointing in the direction the air mass is moving. Fig 2-3 Weather: A Concise Introduction 9 Temperature Fronts A warm front is a region where warm air is replacing cold air. It s indicated by a red line with red half circles pointing in the direction the air mass is moving. Fig 2-3 Weather: A Concise Introduction 10

Temperature Fronts Recognize the fronts by the symbols!!! You might have a black and white map (like on a test.hint hint!!) and can t rely on the colors to tell you which type of front you re looking at. Fig 2-3 Weather: A Concise Introduction 11 Pressure Maps The black lines indicate isobars or lines of constant pressure. These maps help us identify regions of high pressure ( H ) and low pressure ( L ). They also give some indication of surface wind speed and direction. The numbers are the actual pressure (no conversion needed) Fig 2-4 Weather: A Concise Introduction 12

Pressure Maps Generally, isobars are plotted at 4 hpa intervals If it helps, consider this like a map of surface height and you ll get an idea of where are is flowing too and how fast it s moving. Fig 2-4 Weather: A Concise Introduction 13 Pressure Maps Closed contours define regions of high pressure and low pressure. Fig 2-5 Weather: A Concise Introduction 14

Pressure Maps Isobars that aren t closed can still help us define regions of increasing ( ridges ) and decreasing ( troughs ) pressure. Fig 2-6 Weather: A Concise Introduction 15 Temperature Maps We can combine the different ways of looking at surface data to create what you may recognize as a modern weather map Fig 2-2 Weather: A Concise Introduction 16

Weather Maps We can combine the different ways of looking at surface data to create what you may recognize as a modern weather map Fig 2-2 Weather: A Concise Introduction 17 Upper Level Maps We can look at pressure maps at a some particular altitude but the mathematics becomes very complicated Instead, we look at altitude of a specific pressure level. The figures to the right show the height (in meters) of the 850 hpa surface. Fig 2-8 Weather: A Concise Introduction 18

Upper Level Maps The station model provides slightly different information than at the surface. The height of the pressure surface is in the position where pressure used to be. Maps of this information are called isobaric maps Fig 2-9 Weather: A Concise Introduction 19 Weather Maps: Surface We can combine the different ways of looking at surface data to create what you may recognize as a modern weather map Fig 2-2 Weather: A Concise Introduction 20

Weather Maps: 500 mb The color contours represent wind speed (in knots). Notice that the fastest winds in the central US are almost above the position of the surface low pressure. Here the black lines are in decameters. Fig 2-10 Weather: A Concise Introduction 21 Weather Maps: 500 mb Sometimes this information is plotted as the 1000-500 hpa thickness Fig 2-10 Weather: A Concise Introduction 22

Mean Sea Level Pressure Pressure and altitude are connected: pressure decreases with height The air pressure at the top of a mountain is lower than at the beach. If you didn t account for this then your forecasts would assumer there s always a low pressure system over the mountains. You need to correct for this by determining what the pressure on the top of the mountain would be if you brought it to sea level (~10mbar for every 100m) Fig 2.2.1 Weather: A Concise Introduction 23 RADAR: RAdio Detection and Ranging RADAR measures the time it takes for the signal to return Fig 5.45: Essentials of Meteorology 24

RADAR: RAdio Detection and Ranging Doppler Doppler RADAR measures changes in the return signal Fig 5-22 Meteorology: Understanding the Atmosphere 25 RADAR: RAdio Detection and Ranging Dual Polarization Can provide information about precipitation types rain, hail, snow, sleet http://earthsky.org/earth/nws-upgrades-to-dual-polarization-radar-for-better-look-at-precipitation-tornadoes 26

RADAR Coverage: United States Fig 2-12 Weather: A Concise Introduction 27 Geostationary satellites: Orbits the Earth at the same angular speed as the Earth. They are parked in orbit over Earth and stay over the same location. Provide a lot of information at all times but only at one location and have difficulty seeing the polar regions Fig 2-19 Weather: A Concise Introduction 28

Polar orbiting satellites: Travel over the poles. Orbits wrap around the Earth. Need to travel quickly to provide cover the globe. Can be very high resolution because they orbit closer to the surface than geostationary satellites Problems: Data gaps in time and space. Fig 2-24 Weather: A Concise Introduction 29 Satellite Imagery: Visible Fig 2-13 Weather: A Concise Introduction 30

Satellite Imagery: Visible What s the main limitation of the visible image? You need light to see anything! Fig 2-14 Weather: A Concise Introduction 31 Satellite Imagery: Infrared (heat) This is a false color image. The lighter the color, the colder the temperature. What does this tell us about clouds? Fig 2-14 Weather: A Concise Introduction 32

Satellite Imagery: Infrared (heat) This is a false color image. The lighter the color, the colder the temperature. What does this tell us about clouds? Can you think of a limitation of the infrared image? Fig 2-14 Weather: A Concise Introduction 33 Satellite Imagery: Water Vapor This is a false color image. Water vapor absorbs and emits energy. You can tune an instrument to only see the wavelengths where water vapor absorbs and emits energy Fig 2-18 Weather: A Concise Introduction 34