atmospheric remote sensing: overview adapted from s. dutch univ wisconsin green bay

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Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

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Page 1: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Atmospheric Remote Sensing: Overview

Adapted from S. DutchUniv Wisconsin Green Bay

Page 2: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Weather Forecasting

• Cannot exist without telecommunications• Most fundamental ideas are very recent

Page 3: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

No Weather Forecasting

• He said to the crowd: "When you see a cloud rising in the west, immediately you say, 'It's going to rain,' and it does. And when the south wind blows, you say, 'It's going to be hot,' and it is. (Luke 12:54-55)

• People could interpret local, immediate weather signs; could guess at the presence of jet streams from cirrus cloud streaks.

Page 4: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

No Weather Forecasting

• Little travel• No telecommunications• The wind blows wherever it pleases. You hear

its sound, but you cannot tell where it comes from or where it is going. (John 3:8)

• As far as anyone knew, weather originated spontaneously and locally

• All meteorology is remote sensing

Page 5: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

What Are We Sensing?• 1600’s and 1700’s: Basic weather instruments

invented• 1743: Benjamin Franklin deduces that storms move• 1802-1803: Luke Howard classifies cloud types • 1806: Francis Beaufort introduces his system for

classifying wind speeds.• 1840’s: Telegraph invented• 1854: Jean Joseph Leverrier demonstrated that a

devastating storm could have been tracked and predicted if telegraph had been in use

Page 6: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Weather Mapping• 1849: Smithsonian Institution institutes

observing system in U.S.• 1860: Robert FitzRoy – Produces the first synoptic charts– Coined the term "weather forecast" – Published the first ever daily weather forecasts

• 1873: Army Signal Corps issues first hurricane prediction

• 1900 Galveston blind-sided by hurricane

Page 7: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Weather Map, 1874

Page 8: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

1905 Weather Map of US

Page 9: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Modern Weather Forecasting• 1902: Stratosphere discovered• 1902: Radio• Norwegians pioneered modern weather forecasting• World War I inspired the name “front”• 1930: First radiosonde• 1944: First radar detection of hurricane• WWII: Jet streams discovered• 1948: First successful tornado prediction• 1954: Sweden starts first real-time numerical

predictions

Page 10: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

First Modern Concept of

Fronts

Page 11: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

First U.S. Weather Map With Fronts

Page 12: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Scales in Meteorology

• Microscale: kilometers• Mesoscale: tens of kilometers• Synoptic: hundreds or thousands of

kilometers– Weather Maps

• Global– Wind belts– El Nino and other oscillations

Page 13: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Atmospheric Remote Sensing

• Even in pre-satellite days, weather observing was one of the first applications envisioned for satellites.

• In 1954, a rocket photograph showed a storm system that later caused a flood and inspired creation of a weather satellite program

• Vanguard II (1959) was a prototype weather satellite but only partially successful

Page 14: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

TIROS 1

• Television Infrared Observation Satellite• Launched April 1, 1960• First successful weather satellite• Altitude 468 miles

Page 15: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

First Weather Satellite Image

Page 16: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Nimbus Series

• 7 satellites, launched 1964-1978• Transmitted data until 1994• Pioneered atmospheric pressure

measurements by satellite– Measures optical effects of pressure on

atmosphere

• Monitored ozone hole depletion

Page 17: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Defense Meteorological Satellite Program (DMSP)

• First launched 1962• Declassified 1972• Most advanced night imaging capabilities• Still active

Page 18: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

DMSP Night Image

Page 19: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Aurora over the US

Page 20: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

The Perfect Low, 19 April 2006

Page 21: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

The “Chi-clone” 26 Oct. 2010

Great Lakes Cyclone

Page 22: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Typhoon Longwang

Page 23: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

GOES

• Geostationary Operational Environmental Satellite

• GOES-11 (West) at 135 W over Pacific• GOES-12 (East at 75 W over Atlantic)• GOES-13 and -14 in storage orbits

Page 24: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

GOES

• Imager: Multi-channel visible and IR• Sounder: vertical atmospheric temperature

and moisture profiles, surface and cloud top temperature, and ozone distribution

• Ground-based meteorological platform data collection and relay

• Space environment monitor• Beacon locators for search and rescue

Page 25: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

GOES 15 Image (All Bands)

Page 26: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Calculated Band Weighting Functions for Reno

Page 27: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Global Water Vapor, July 2009

Page 28: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Cloud Top temperatures

Page 29: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Cloud Classification

Page 30: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Cloud Top Pressure

Page 31: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Precipitation

Page 32: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Lightning Strikes

Page 33: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Global Lightning

Page 34: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Particulate Matter

• Natural: Volcanic, smoke, wind-blown dust• Anthropogenic: Smoke, exhaust, construction,

agriculture• In pre-industrial times, visibility over 100 km

was normal• Unusual haze was very abnormal and noted– “Dry fogs” are records of volcanic eruptions– Great “Smoky” Mountains

Page 35: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

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Pollution over India

The view from Tibet

Sea of pollution Over India

Image from the Shuttle

Page 36: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

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Marmin, Nepal March 2001 (V. Ramanathan)

Mottarone, Italy, June 2001

Towards equal distribution of Pollution around the world

Dust and pollution over Lago Magiore, Italy

Page 37: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

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POLDER aerosol index Feb. 1997 & population density (Kaufman, Tanré & Boucher, Nature 2002)

Does Population cause Pollution ?

Page 38: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

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(Kaufman, Tanré & Boucher, Nature 2002)Strong Aerosol Radiative Forcing In Certain Regions

Page 39: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay
Page 40: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

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(Kaufman, Tanré & Boucher, Nature 2002)Schematic Impact of Aerosol on Cloud and Precipitation

Page 41: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

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(Kaufman, Tanré & Boucher, Nature 2002)Schematic Impact of Aerosol on Cloud Brightness

Page 42: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Multi-Angle Scanning

• Intersecting lines of sight allows three-dimensional modeling

• Slant viewing eliminates reflections off water (sun glitter)

• Different viewing angles allows characterization of surfaces– Phase Angle

Page 43: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

MISR Images (0, 45, 60, 75 degrees)

Page 44: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

MISR and Oil Spill

Page 45: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Limb Viewing

Page 46: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

Solar Occultation

Page 47: Atmospheric Remote Sensing: Overview Adapted from S. Dutch Univ Wisconsin Green Bay

GPS Occultation: Senses Water Vapor