|
|
Six Annotated Datasets Pull
| Title |
Six Annotated Datasets Pull Away from a Single Globe |
| Completed |
1999-11-10 |
|
Aerosols from Earth Probe TO
| Title |
Aerosols from Earth Probe TOMS: Still of U.S. and Mexico taken at 5/16/98 |
| Completed |
1998-12-07 |
|
ICESat First Light Release:
| Title |
ICESat First Light Release: A Global Perspective |
| Abstract |
Criss-crossing the world below at nearly 17,000 miles per hour, ICESat is measuring the Earth from space with unprecedented accuracy. ICESAT measures the Earth by shining pulses of green and infrared light from one of its three onboard lasers. Although the major goal of ICESAT's mission is to observe ice near the poles, the satellite takes measurements continuously around the entire globe, providing valuable information about our planet's clouds, oceans, mountains, forests, and fields. |
| Completed |
2003-05-15 |
|
ICESat First Light Release:
| Title |
ICESat First Light Release: A Global Perspective |
| Abstract |
Criss-crossing the world below at nearly 17,000 miles per hour, ICESat is measuring the Earth from space with unprecedented accuracy. ICESAT measures the Earth by shining pulses of green and infrared light from one of its three onboard lasers. Although the major goal of ICESAT's mission is to observe ice near the poles, the satellite takes measurements continuously around the entire globe, providing valuable information about our planet's clouds, oceans, mountains, forests, and fields. |
| Completed |
2003-05-15 |
|
ICESat First Light Release:
| Title |
ICESat First Light Release: A Global Perspective |
| Abstract |
Criss-crossing the world below at nearly 17,000 miles per hour, ICESat is measuring the Earth from space with unprecedented accuracy. ICESAT measures the Earth by shining pulses of green and infrared light from one of its three onboard lasers. Although the major goal of ICESAT's mission is to observe ice near the poles, the satellite takes measurements continuously around the entire globe, providing valuable information about our planet's clouds, oceans, mountains, forests, and fields. |
| Completed |
2003-05-15 |
|
Deforestation of Rondonia, B
| Title |
Deforestation of Rondonia, Brazil, from 1975 to 2001 |
| Abstract |
Throughout much of the 1980s, deforestation in Brazil eliminated more than 15,000 square kilometers (9000 square miles) per year. That pace has only increased through the 90s and into the 21st century. Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primary producer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen. It is for these and a host of other reasons why scientists and policy makers need to monitor and forestall wholesale deforestation. This sequence shows how profligate clear cutting can influence that trust. Data gathered over time by several in the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. This territory underwent an enormous rise in population towards the end of the twentieth century, buoyed by cheap land offered by the national government for agricultural use. As you see the visualization progress, it is useful to note how the human phenomenon of deforestation generally works, especially in the dense tropical forests of Brazil. Systematic cutting of a road opens new territory to potential deforestation by penetrating into new areas. Clearing of vegetation along the sides of those roads tends to fan out to create a pattern akin to a fish skeleton. As new paths appear in the woods, new areas become vulnerable. The spaces between the 'skeletal bones' fall to defoliation, and another inch of the Earth's biological rudder is no longer reliably steering the planet into the future. |
| Completed |
2001-04-19 |
|
Deforestation of Rondonia, B
| Title |
Deforestation of Rondonia, Brazil, from 1975 to 2001 |
| Abstract |
Throughout much of the 1980s, deforestation in Brazil eliminated more than 15,000 square kilometers (9000 square miles) per year. That pace has only increased through the 90s and into the 21st century. Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primary producer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen. It is for these and a host of other reasons why scientists and policy makers need to monitor and forestall wholesale deforestation. This sequence shows how profligate clear cutting can influence that trust. Data gathered over time by several in the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. This territory underwent an enormous rise in population towards the end of the twentieth century, buoyed by cheap land offered by the national government for agricultural use. As you see the visualization progress, it is useful to note how the human phenomenon of deforestation generally works, especially in the dense tropical forests of Brazil. Systematic cutting of a road opens new territory to potential deforestation by penetrating into new areas. Clearing of vegetation along the sides of those roads tends to fan out to create a pattern akin to a fish skeleton. As new paths appear in the woods, new areas become vulnerable. The spaces between the 'skeletal bones' fall to defoliation, and another inch of the Earth's biological rudder is no longer reliably steering the planet into the future. |
| Completed |
2001-04-19 |
|
Deforestation of Rondonia, B
| Title |
Deforestation of Rondonia, Brazil, from 1975 to 2001 |
| Abstract |
Throughout much of the 1980s, deforestation in Brazil eliminated more than 15,000 square kilometers (9000 square miles) per year. That pace has only increased through the 90s and into the 21st century. Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primary producer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen. It is for these and a host of other reasons why scientists and policy makers need to monitor and forestall wholesale deforestation. This sequence shows how profligate clear cutting can influence that trust. Data gathered over time by several in the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. This territory underwent an enormous rise in population towards the end of the twentieth century, buoyed by cheap land offered by the national government for agricultural use. As you see the visualization progress, it is useful to note how the human phenomenon of deforestation generally works, especially in the dense tropical forests of Brazil. Systematic cutting of a road opens new territory to potential deforestation by penetrating into new areas. Clearing of vegetation along the sides of those roads tends to fan out to create a pattern akin to a fish skeleton. As new paths appear in the woods, new areas become vulnerable. The spaces between the 'skeletal bones' fall to defoliation, and another inch of the Earth's biological rudder is no longer reliably steering the planet into the future. |
| Completed |
2001-04-19 |
|
Deforestation of Rondonia, B
| Title |
Deforestation of Rondonia, Brazil, from 1975 to 2001 |
| Abstract |
Throughout much of the 1980s, deforestation in Brazil eliminated more than 15,000 square kilometers (9000 square miles) per year. That pace has only increased through the 90s and into the 21st century. Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primary producer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen. It is for these and a host of other reasons why scientists and policy makers need to monitor and forestall wholesale deforestation. This sequence shows how profligate clear cutting can influence that trust. Data gathered over time by several in the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. This territory underwent an enormous rise in population towards the end of the twentieth century, buoyed by cheap land offered by the national government for agricultural use. As you see the visualization progress, it is useful to note how the human phenomenon of deforestation generally works, especially in the dense tropical forests of Brazil. Systematic cutting of a road opens new territory to potential deforestation by penetrating into new areas. Clearing of vegetation along the sides of those roads tends to fan out to create a pattern akin to a fish skeleton. As new paths appear in the woods, new areas become vulnerable. The spaces between the 'skeletal bones' fall to defoliation, and another inch of the Earth's biological rudder is no longer reliably steering the planet into the future. |
| Completed |
2001-04-19 |
|
Deforestation of Rondonia, B
| Title |
Deforestation of Rondonia, Brazil, from 1975 to 2001 |
| Abstract |
Throughout much of the 1980s, deforestation in Brazil eliminated more than 15,000 square kilometers (9000 square miles) per year. That pace has only increased through the 90s and into the 21st century. Brazil is also home to more than a quarter of Earth's tropical forests. Considering that the band of lush green that circles the globe through many equatorial nations is fundamental to the overall health of the whole planet's environment, careful monitoring of forest health in the tropics is essential. Tropical forests act as major carbon 'sinks', places where ambient carbon dioxide in the atmosphere can be absorbed by growing things and sequestered for years. Definitive evidence shows that excess carbon dioxide can contribute to the greenhouse effect and speed global warming. Similarly, tropical forests also act as a primary producer of oxygen. In the respiration process that absorbs gaseous carbon dioxide, trees and other plants give off oxygen. It is for these and a host of other reasons why scientists and policy makers need to monitor and forestall wholesale deforestation. This sequence shows how profligate clear cutting can influence that trust. Data gathered over time by several in the Landsat series of spacecraft shows enormous tracts of forest disappearing in Rondonia, Brazil. This territory underwent an enormous rise in population towards the end of the twentieth century, buoyed by cheap land offered by the national government for agricultural use. As you see the visualization progress, it is useful to note how the human phenomenon of deforestation generally works, especially in the dense tropical forests of Brazil. Systematic cutting of a road opens new territory to potential deforestation by penetrating into new areas. Clearing of vegetation along the sides of those roads tends to fan out to create a pattern akin to a fish skeleton. As new paths appear in the woods, new areas become vulnerable. The spaces between the 'skeletal bones' fall to defoliation, and another inch of the Earth's biological rudder is no longer reliably steering the planet into the future. |
| Completed |
2001-04-19 |
|
Zoom-in to plasmapause-induc
| Title |
Zoom-in to plasmapause-induced TEC enhancement - April 2001 (Version 2) |
| Abstract |
Space weather events which disturb the plasmapause (displayed here as a green surface enclosing the Earth) can propagate down to the Earth's ionosphere. There they enhance the ionosphere electron content which can disrupt radio signals from satellites. This movie is a variation on animation ID 3311 with slightly different camera motions. |
| Completed |
2005-11-18 |
|
Zoom-in to plasmapause-induc
| Title |
Zoom-in to plasmapause-induced TEC enhancement - April 2001 (Version 2) |
| Abstract |
Space weather events which disturb the plasmapause (displayed here as a green surface enclosing the Earth) can propagate down to the Earth's ionosphere. There they enhance the ionosphere electron content which can disrupt radio signals from satellites. This movie is a variation on animation ID 3311 with slightly different camera motions. |
| Completed |
2005-11-18 |
|
Zoom-in to plasmapause-induc
| Title |
Zoom-in to plasmapause-induced TEC enhancement - April 2001 (Version 2) |
| Abstract |
Space weather events which disturb the plasmapause (displayed here as a green surface enclosing the Earth) can propagate down to the Earth's ionosphere. There they enhance the ionosphere electron content which can disrupt radio signals from satellites. This movie is a variation on animation ID 3311 with slightly different camera motions. |
| Completed |
2005-11-18 |
|
Zoom-in to plasmapause-induc
| Title |
Zoom-in to plasmapause-induced TEC enhancement - April 2001 (Version 2) |
| Abstract |
Space weather events which disturb the plasmapause (displayed here as a green surface enclosing the Earth) can propagate down to the Earth's ionosphere. There they enhance the ionosphere electron content which can disrupt radio signals from satellites. This movie is a variation on animation ID 3311 with slightly different camera motions. |
| Completed |
2005-11-18 |
|
Zoom-in to plasmapause-induc
| Title |
Zoom-in to plasmapause-induced TEC enhancement - April 2001 (Version 2) |
| Abstract |
Space weather events which disturb the plasmapause (displayed here as a green surface enclosing the Earth) can propagate down to the Earth's ionosphere. There they enhance the ionosphere electron content which can disrupt radio signals from satellites. This movie is a variation on animation ID 3311 with slightly different camera motions. |
| Completed |
2005-11-18 |
|
Zoom-in to plasmapause-induc
| Title |
Zoom-in to plasmapause-induced TEC enhancement - April 2001 (Version 2) |
| Abstract |
Space weather events which disturb the plasmapause (displayed here as a green surface enclosing the Earth) can propagate down to the Earth's ionosphere. There they enhance the ionosphere electron content which can disrupt radio signals from satellites. This movie is a variation on animation ID 3311 with slightly different camera motions. |
| Completed |
2005-11-18 |
|
Zoom-in to plasmapause-induc
| Title |
Zoom-in to plasmapause-induced TEC enhancement - April 2001 (Version 2) |
| Abstract |
Space weather events which disturb the plasmapause (displayed here as a green surface enclosing the Earth) can propagate down to the Earth's ionosphere. There they enhance the ionosphere electron content which can disrupt radio signals from satellites. This movie is a variation on animation ID 3311 with slightly different camera motions. |
| Completed |
2005-11-18 |
|
Zoom-in to plasmapause-induc
| Title |
Zoom-in to plasmapause-induced TEC enhancement - April 2001 (Version 2) |
| Abstract |
Space weather events which disturb the plasmapause (displayed here as a green surface enclosing the Earth) can propagate down to the Earth's ionosphere. There they enhance the ionosphere electron content which can disrupt radio signals from satellites. This movie is a variation on animation ID 3311 with slightly different camera motions. |
| Completed |
2005-11-18 |
|
Wind Anomalies during El Nin
| Title |
Wind Anomalies during El Nino/La Nina Event of 1997-1998 (WMS) |
| Abstract |
The El Nino/La Nina event in 1997-1999 was particularly intense, but was also very well observed by satellites and buoys. Deviations from normal winds speeds and directions of the were computed using data from the Special Sensor Microwave/Imager (SSMI) on the Tropical Rainfall Measuring Mission (TRMM) satellite. |
| Completed |
2005-06-01 |
|
Wind Anomalies during El Nin
| Title |
Wind Anomalies during El Nino/La Nina Event of 1997-1998 (WMS) |
| Abstract |
The El Nino/La Nina event in 1997-1999 was particularly intense, but was also very well observed by satellites and buoys. Deviations from normal winds speeds and directions of the were computed using data from the Special Sensor Microwave/Imager (SSMI) on the Tropical Rainfall Measuring Mission (TRMM) satellite. |
| Completed |
2005-06-01 |
|
2005 Sea Ice over the Arctic
| Title |
2005 Sea Ice over the Arctic derived from AMSR-E |
| Abstract |
This animation shows the Spring retreat and subsequent Autumn advance of sea ice over the Arctic from 1/1/2005 through 12/31/2005. The false color of the sea ice, derived from the AMSR-E 6.25 km brightness temperature, was designed to highlight the fissures in the sea ice. Moving 3-day minimum brightness temperatures provide a background for smooth ice movement over which the actual daily brightness temperatures were mapped for definition of the ice structures. The sea ice extent was defined by a 3-day moving average of the AMSR-E 12.5 km sea ice concentration, showing as ice all areas having a sea ice concentration greater than 15%. |
| Completed |
2006-01-23 |
|
2005 Sea Ice over the Arctic
| Title |
2005 Sea Ice over the Arctic derived from AMSR-E |
| Abstract |
This animation shows the Spring retreat and subsequent Autumn advance of sea ice over the Arctic from 1/1/2005 through 12/31/2005. The false color of the sea ice, derived from the AMSR-E 6.25 km brightness temperature, was designed to highlight the fissures in the sea ice. Moving 3-day minimum brightness temperatures provide a background for smooth ice movement over which the actual daily brightness temperatures were mapped for definition of the ice structures. The sea ice extent was defined by a 3-day moving average of the AMSR-E 12.5 km sea ice concentration, showing as ice all areas having a sea ice concentration greater than 15%. |
| Completed |
2006-01-23 |
|
Hurricane Ivan Rainfall Stru
| Title |
Hurricane Ivan Rainfall Structure with Cloud Overlay on September 16, 2004 |
| Abstract |
NASA's TRMM spacecraft is used by meteorologists to understand Hurricane Ivan. TRMM observed this view of Hurricane Ivan as the storm made landfall on September 16, 2004. The cloud cover is taken by TRMM's Visible and Infrared Scanner(VIRS). The rain structure is taken by TRMM's Tropical Microwave Imager (TMI). It looks underneath of the storm's clouds to reveal the underlying rain structure. Blue represents areas with at least 0.25 inches of rain per hour. Green shows at least 0.5 inches of rain per hour. Yellow is at least 1.0 inches of rain and red is at least 2.0 inches of rain per hour. |
| Completed |
2005-06-03 |
|
Hurricane Ivan Rainfall Stru
| Title |
Hurricane Ivan Rainfall Structure with Cloud Overlay on September 16, 2004 |
| Abstract |
NASA's TRMM spacecraft is used by meteorologists to understand Hurricane Ivan. TRMM observed this view of Hurricane Ivan as the storm made landfall on September 16, 2004. The cloud cover is taken by TRMM's Visible and Infrared Scanner(VIRS). The rain structure is taken by TRMM's Tropical Microwave Imager (TMI). It looks underneath of the storm's clouds to reveal the underlying rain structure. Blue represents areas with at least 0.25 inches of rain per hour. Green shows at least 0.5 inches of rain per hour. Yellow is at least 1.0 inches of rain and red is at least 2.0 inches of rain per hour. |
| Completed |
2005-06-03 |
|
Killer Toxic Algae Off the C
| Title |
Killer Toxic Algae Off the Coast of Norway |
| Abstract |
Killer Toxic Algae (chattonella) off the coast of Norway, killing 700 tons of farm-raised salmon. |
| Completed |
2001-03-25 |
|
Killer Toxic Algae Off the C
| Title |
Killer Toxic Algae Off the Coast of Norway |
| Abstract |
Killer Toxic Algae (chattonella) off the coast of Norway, killing 700 tons of farm-raised salmon. |
| Completed |
2001-03-25 |
|
Killer Toxic Algae Off the C
| Title |
Killer Toxic Algae Off the Coast of Norway |
| Abstract |
Killer Toxic Algae (chattonella) off the coast of Norway, killing 700 tons of farm-raised salmon. |
| Completed |
2001-03-25 |
|
Smoke from Eastern Australia
| Title |
Smoke from Eastern Australia, 1/02/2002 |
| Abstract |
The Fires in New South Wales Continue to Send Great Quantities of Smoke Across the Tasman Sea. |
| Completed |
2002-01-02 |
|
Smoke from Eastern Australia
| Title |
Smoke from Eastern Australia, 1/02/2002 |
| Abstract |
The Fires in New South Wales Continue to Send Great Quantities of Smoke Across the Tasman Sea. |
| Completed |
2002-01-02 |
|
Net Radiation Flux Compared
| Title |
Net Radiation Flux Compared to Clouds (WMS) |
| Abstract |
The Earth's climate is determined by energy transfer from the sun to the Earth's land, oceans, and atmosphere. As the Earth rotates, the sun lights up only part of the Earth at a time, and some of that incoming solar energy is reflected and some is absorbed, depending on type of area it lights. The amount of reflection and absorption is critical to the climate. An instrument named CERES orbits the Earth every 99 minutes and measures the reflected solar energy. This animation shows the net radiation flux within view of CERES during 29 orbits on June 20 and 21 of 2003. The net flux is the incoming solar flux minus the outgoing reflected (shortwave) and thermal (longwave) radiation. If the flux in a region is positive, the Earth is being warmed by the sun in that region, while cooling regions have a negative flux. It is clear from the animation that the most intensive heating occurs in ocean regions with few clouds, while the second most intense are cloud-free regions over vegetated land areas. Deserts, cloudy regions, and ice caps all reflect enough solar radiation to reduce the amount of heating. Regions of night are, of course, cooling regions because there is no incoming flux at all. |
| Completed |
2005-06-21 |
|
Net Radiation Flux Compared
| Title |
Net Radiation Flux Compared to Clouds (WMS) |
| Abstract |
The Earth's climate is determined by energy transfer from the sun to the Earth's land, oceans, and atmosphere. As the Earth rotates, the sun lights up only part of the Earth at a time, and some of that incoming solar energy is reflected and some is absorbed, depending on type of area it lights. The amount of reflection and absorption is critical to the climate. An instrument named CERES orbits the Earth every 99 minutes and measures the reflected solar energy. This animation shows the net radiation flux within view of CERES during 29 orbits on June 20 and 21 of 2003. The net flux is the incoming solar flux minus the outgoing reflected (shortwave) and thermal (longwave) radiation. If the flux in a region is positive, the Earth is being warmed by the sun in that region, while cooling regions have a negative flux. It is clear from the animation that the most intensive heating occurs in ocean regions with few clouds, while the second most intense are cloud-free regions over vegetated land areas. Deserts, cloudy regions, and ice caps all reflect enough solar radiation to reduce the amount of heating. Regions of night are, of course, cooling regions because there is no incoming flux at all. |
| Completed |
2005-06-21 |
|
Global Atmospheric Surface P
| Title |
Global Atmospheric Surface Pressure during Hurricane Frances (WMS) |
| Abstract |
The weight of the Earth's atmosphere exerts pressure on the surface of the Earth. This pressure varies from place-to-place due the variations in the Earth's surface since higher altitudes have less atmosphere above them than lower altitudes. Atmospheric pressure also varies from time-to-time due to the uneven heating of the atmosphere by the sun and the rotation of the Earth, causing weather. This animation shows the atmospheric surface pressure for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. The major changes in pressure occur over land where the surface altitude varies, but the sharp, moving low pressures areas for Frances and Songda can be clearly seen in the oceans. Since changing surface pressure areas over land are hard to see in these images due to the strong altitude variations, plots of the atmospheric surface pressure are almost never used to study the weather. A different plot, of sea-level pressure, is used instead. |
| Completed |
2005-07-25 |
|
Global Atmospheric Surface P
| Title |
Global Atmospheric Surface Pressure during Hurricane Frances (WMS) |
| Abstract |
The weight of the Earth's atmosphere exerts pressure on the surface of the Earth. This pressure varies from place-to-place due the variations in the Earth's surface since higher altitudes have less atmosphere above them than lower altitudes. Atmospheric pressure also varies from time-to-time due to the uneven heating of the atmosphere by the sun and the rotation of the Earth, causing weather. This animation shows the atmospheric surface pressure for the whole globe from September 1, 2004, through September 5, 2004, during the period of Hurricane Frances in the western Atlantic Ocean and Typhoon Songda in the western Pacific Ocean. The major changes in pressure occur over land where the surface altitude varies, but the sharp, moving low pressures areas for Frances and Songda can be clearly seen in the oceans. Since changing surface pressure areas over land are hard to see in these images due to the strong altitude variations, plots of the atmospheric surface pressure are almost never used to study the weather. A different plot, of sea-level pressure, is used instead. |
| Completed |
2005-07-25 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
MODIS Data May Aid EPA Air Q
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Tight) |
| Abstract |
This visualization shows how MODIS data from NASA's Terra and Aqua spacecraft may be able to help EPA in producing air quality index forcasts. Currently, most air quality forcasts are generated from gound based measuring stations, however, these stations generally only exist in heavily populated areas. MODIS data may help EPA provide air quality forcasts over much wider areas and with higher accuracy. In this visualization, the EPA air quality data shows as the thin colored boxes sticking out from the surface. The MODIS data is represented by the colored overlay. An event that began over the northwestern US in September 2003 is shown propagating across the US and into the midwest. Notice that the movement of the air mass is evident only from the MODIS data. This version of the animation shows a narrow view of the US. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
HoloGlobe: Sea Surface Tempe
| Title |
HoloGlobe: Sea Surface Temperature Anomaly on a Flat Earth (with Dates) |
| Abstract |
This is one of a series of animations that were produced to be part of the narrated video shown in the HoloGlobe exhibit at the Smithsonian Museum of Natural History and the Earth Today exhibit at the Smithsonian Air and Space Museum. |
| Completed |
1996-08-10 |
|
Dramatic Evaporation of the
| Title |
Dramatic Evaporation of the Aral Sea |
| Abstract |
Disapearing Water: The Aral Sea Over Time (From 1973 to 2001) A time series is a powerful illustrative tool. Where in the case of Las Vegas we see the direct effects of people on the land, in the case of the Aral Sea, separating the countries of Kazakhstan and Uzbekistan, we see indirect, but no less dramatic effects on a different part of the world. The Aral Sea is actually not a sea at all. It is an immense lake, a body of fresh water, although that particular description of its contents might now be more a figure of speech than practical fact. In the last thirty years, more than sixty percent of the lake has disappeared. As you'll see in the visualization, the change over time is dramatic. In the 1970s, farmers and state offices opened significant diversions from the rivers supplying water to the lake, sending millions of gallons to irrigate cotton fields and rice paddies. So voluminous were these irrigation sluices that concentrations of salts and minerals began to rise in the shrinking body of water. That change in chemistry has led to staggering alterations in the lake's ecology, causing precipitous drops in the Aral's fish population. A secondary effect of this reduction in the Aral Sea's overall size is the rapid exposure of the lake bed. Powerful winds that blow across this part of Asia routinely pick up and deposit tens of thousands of tons of now exposed soil every year. This has not only contributed to significant reduction in breathable air quality for nearby residents, but also appreciably affected crop yields due to those heavily salt laden particles falling on arable land. In the following sequence of images, we see a series of Landsat scenes taken several years apart. As the years pass, we see the profound reduction in overall area covered by the Aral, and a commensurate increase in land area as the floor of the sea now lies exposed. |
| Completed |
2001-04-19 |
|
Dramatic Evaporation of the
| Title |
Dramatic Evaporation of the Aral Sea |
| Abstract |
Disapearing Water: The Aral Sea Over Time (From 1973 to 2001) A time series is a powerful illustrative tool. Where in the case of Las Vegas we see the direct effects of people on the land, in the case of the Aral Sea, separating the countries of Kazakhstan and Uzbekistan, we see indirect, but no less dramatic effects on a different part of the world. The Aral Sea is actually not a sea at all. It is an immense lake, a body of fresh water, although that particular description of its contents might now be more a figure of speech than practical fact. In the last thirty years, more than sixty percent of the lake has disappeared. As you'll see in the visualization, the change over time is dramatic. In the 1970s, farmers and state offices opened significant diversions from the rivers supplying water to the lake, sending millions of gallons to irrigate cotton fields and rice paddies. So voluminous were these irrigation sluices that concentrations of salts and minerals began to rise in the shrinking body of water. That change in chemistry has led to staggering alterations in the lake's ecology, causing precipitous drops in the Aral's fish population. A secondary effect of this reduction in the Aral Sea's overall size is the rapid exposure of the lake bed. Powerful winds that blow across this part of Asia routinely pick up and deposit tens of thousands of tons of now exposed soil every year. This has not only contributed to significant reduction in breathable air quality for nearby residents, but also appreciably affected crop yields due to those heavily salt laden particles falling on arable land. In the following sequence of images, we see a series of Landsat scenes taken several years apart. As the years pass, we see the profound reduction in overall area covered by the Aral, and a commensurate increase in land area as the floor of the sea now lies exposed. |
| Completed |
2001-04-19 |
|
Dramatic Evaporation of the
| Title |
Dramatic Evaporation of the Aral Sea |
| Abstract |
Disapearing Water: The Aral Sea Over Time (From 1973 to 2001) A time series is a powerful illustrative tool. Where in the case of Las Vegas we see the direct effects of people on the land, in the case of the Aral Sea, separating the countries of Kazakhstan and Uzbekistan, we see indirect, but no less dramatic effects on a different part of the world. The Aral Sea is actually not a sea at all. It is an immense lake, a body of fresh water, although that particular description of its contents might now be more a figure of speech than practical fact. In the last thirty years, more than sixty percent of the lake has disappeared. As you'll see in the visualization, the change over time is dramatic. In the 1970s, farmers and state offices opened significant diversions from the rivers supplying water to the lake, sending millions of gallons to irrigate cotton fields and rice paddies. So voluminous were these irrigation sluices that concentrations of salts and minerals began to rise in the shrinking body of water. That change in chemistry has led to staggering alterations in the lake's ecology, causing precipitous drops in the Aral's fish population. A secondary effect of this reduction in the Aral Sea's overall size is the rapid exposure of the lake bed. Powerful winds that blow across this part of Asia routinely pick up and deposit tens of thousands of tons of now exposed soil every year. This has not only contributed to significant reduction in breathable air quality for nearby residents, but also appreciably affected crop yields due to those heavily salt laden particles falling on arable land. In the following sequence of images, we see a series of Landsat scenes taken several years apart. As the years pass, we see the profound reduction in overall area covered by the Aral, and a commensurate increase in land area as the floor of the sea now lies exposed. |
| Completed |
2001-04-19 |
|
Dramatic Evaporation of the
| Title |
Dramatic Evaporation of the Aral Sea |
| Abstract |
Disapearing Water: The Aral Sea Over Time (From 1973 to 2001) A time series is a powerful illustrative tool. Where in the case of Las Vegas we see the direct effects of people on the land, in the case of the Aral Sea, separating the countries of Kazakhstan and Uzbekistan, we see indirect, but no less dramatic effects on a different part of the world. The Aral Sea is actually not a sea at all. It is an immense lake, a body of fresh water, although that particular description of its contents might now be more a figure of speech than practical fact. In the last thirty years, more than sixty percent of the lake has disappeared. As you'll see in the visualization, the change over time is dramatic. In the 1970s, farmers and state offices opened significant diversions from the rivers supplying water to the lake, sending millions of gallons to irrigate cotton fields and rice paddies. So voluminous were these irrigation sluices that concentrations of salts and minerals began to rise in the shrinking body of water. That change in chemistry has led to staggering alterations in the lake's ecology, causing precipitous drops in the Aral's fish population. A secondary effect of this reduction in the Aral Sea's overall size is the rapid exposure of the lake bed. Powerful winds that blow across this part of Asia routinely pick up and deposit tens of thousands of tons of now exposed soil every year. This has not only contributed to significant reduction in breathable air quality for nearby residents, but also appreciably affected crop yields due to those heavily salt laden particles falling on arable land. In the following sequence of images, we see a series of Landsat scenes taken several years apart. As the years pass, we see the profound reduction in overall area covered by the Aral, and a commensurate increase in land area as the floor of the sea now lies exposed. |
| Completed |
2001-04-19 |
|
Fires over Europe during 200
| Title |
Fires over Europe during 2001 and 2002 |
| Abstract |
This animation shows fire activity over Europe from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and grey. |
| Completed |
2002-08-26 |
|
Fires over Europe during 200
| Title |
Fires over Europe during 2001 and 2002 |
| Abstract |
This animation shows fire activity over Europe from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and grey. |
| Completed |
2002-08-26 |
|
Convective System Simulation
| Title |
Convective System Simulation using the Goddard Cumulus Ensemble |
| Abstract |
This animation depects a three-dimensional high-resolution simulation of a convective system over South America, using the Goddard Cumulus Ensemble Model. Cloud water and ice are depicted in white and rain is shown in blue-gray. |
| Completed |
2006-11-01 |
|
TRMM Microwave Measurements
| Title |
TRMM Microwave Measurements during Hurricane Katrina: Horizontal Polarization |
| Abstract |
The TMI instrument on the TRMM satellite measures microwaves emitted from the Earth's land and water. By comparing emission from different microwave frequencies, the characteristics of ice and water in the atmosphere can be determined. For example, 85 GHz microwaves are scattered by ice crystals in tropical cyclones, making cyclone rain bands appear 'colder' than the surrounding areas. By comparing 85 GHz temperatures in different polarizations with other frequency band measurements, accurate measurements of rainfall in the atmosphere can be made. This animation shows eight days of global TMI 85 GHz measurements in the Gulf of Mexico during Hurricane Katrina. The hurricane Katrina rainbands clearly show up in these images. |
| Completed |
2005-09-13 |
|
TRMM Microwave Measurements
| Title |
TRMM Microwave Measurements during Hurricane Katrina: Horizontal Polarization |
| Abstract |
The TMI instrument on the TRMM satellite measures microwaves emitted from the Earth's land and water. By comparing emission from different microwave frequencies, the characteristics of ice and water in the atmosphere can be determined. For example, 85 GHz microwaves are scattered by ice crystals in tropical cyclones, making cyclone rain bands appear 'colder' than the surrounding areas. By comparing 85 GHz temperatures in different polarizations with other frequency band measurements, accurate measurements of rainfall in the atmosphere can be made. This animation shows eight days of global TMI 85 GHz measurements in the Gulf of Mexico during Hurricane Katrina. The hurricane Katrina rainbands clearly show up in these images. |
| Completed |
2005-09-13 |
|
Tropospheric Ozone from Eart
| Title |
Tropospheric Ozone from Earth Probe TOMS: Global - 9 Day Averages (May 1997 - May 1998) |
| Completed |
1998-12-07 |
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