|
|
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 |
|
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 |
|
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 |
|
Hurricane Regions Indicated
…
| Title |
Hurricane Regions Indicated by Sea Surface Temperature from June 2002 to September 2003 (WMS) |
| Abstract |
The temperature of the world's ocean surface provides a clear indication of the regions where hurricanes and typhoons form, since they can only form when the sea surface temperature exceeds 82 degrees F (27.8 degrees C). The AMSR-E instrument on the Aqua satellite measures the temperature of the top 1 millimeter of the ocean every day, even through the clouds. In this visualization of AMSR-E data covering the period from June, 2002, to September, 2003, areas with surface temperatures greater than 82 degrees F are shown in yellow and orange, while sea surface temperatures below 82 degrees F are shown in blue. The region in the Atlantic from the Caribbean to the equator only exceeds the critical temperature during late summer and early fall in the Northern Hemisphere, the period known as Hurricane Season. It is also possible to see the Gulf Stream, the warm river of water that parallels the east coast of the United States before heading towards northern Europe, in this data. Around January 1, 2003, a cooler than normal region of the ocean appears just to the west of Peru as part of an La Nina and flows westward, driven by the trade winds. The waves that appear on the edges of this cooler area are called tropical instability waves and can also be seen in the equatorial Atlantic Ocean about the same time. |
| Completed |
2004-02-12 |
|
Hurricane Regions Indicated
…
| Title |
Hurricane Regions Indicated by Sea Surface Temperature from June 2002 to September 2003 (WMS) |
| Abstract |
The temperature of the world's ocean surface provides a clear indication of the regions where hurricanes and typhoons form, since they can only form when the sea surface temperature exceeds 82 degrees F (27.8 degrees C). The AMSR-E instrument on the Aqua satellite measures the temperature of the top 1 millimeter of the ocean every day, even through the clouds. In this visualization of AMSR-E data covering the period from June, 2002, to September, 2003, areas with surface temperatures greater than 82 degrees F are shown in yellow and orange, while sea surface temperatures below 82 degrees F are shown in blue. The region in the Atlantic from the Caribbean to the equator only exceeds the critical temperature during late summer and early fall in the Northern Hemisphere, the period known as Hurricane Season. It is also possible to see the Gulf Stream, the warm river of water that parallels the east coast of the United States before heading towards northern Europe, in this data. Around January 1, 2003, a cooler than normal region of the ocean appears just to the west of Peru as part of an La Nina and flows westward, driven by the trade winds. The waves that appear on the edges of this cooler area are called tropical instability waves and can also be seen in the equatorial Atlantic Ocean about the same time. |
| Completed |
2004-02-12 |
|
True Color MODIS Albedo imag
…
| Title |
True Color MODIS Albedo image improves Climate Modeling |
| Abstract |
The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. |
| Completed |
2002-07-01 |
|
True Color MODIS Albedo imag
…
| Title |
True Color MODIS Albedo image improves Climate Modeling |
| Abstract |
The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. |
| Completed |
2002-07-01 |
|
True Color MODIS Albedo imag
…
| Title |
True Color MODIS Albedo image improves Climate Modeling |
| Abstract |
The MODIS instrument, flying aboard NASA's Terra and Aqua satellites, measures how much solar radiation is reflected by the Earth's surface almost every day over the entire planet. Zooming in on Africa's Sahara Desert and the Arabian Peninsula, MODIS observed considerable variability in reflectance across the region-from the darkest volcanic terrains to the brightest sand. This matches specific soil groups and rock types to MODIS-derived albedo measurements. This correlation is important because most current weather forecast models treat this region as if the surface is uniform and therefore reflects the same amount of light all across its wide expanse. However, the terrain across the Sahara Desert and Arabian Peninsula is actually quite varied. Darker surface features (like rocks and plant canopies) absorb more light than lighter surfaces (like sand) and therefore get hotter in the afternoon. Over the course of a day, these heating differences can set up atmospheric motions that influence global clouds and rain. |
| Completed |
2002-07-01 |
|
CloudSat, Calipso and MODIS
…
| Title |
CloudSat, Calipso and MODIS over Central America |
| Abstract |
Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. |
| Completed |
2007-06-26 |
|
CloudSat, Calipso and MODIS
…
| Title |
CloudSat, Calipso and MODIS over Central America |
| Abstract |
Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. |
| Completed |
2007-06-26 |
|
CloudSat, Calipso and MODIS
…
| Title |
CloudSat, Calipso and MODIS over Central America |
| Abstract |
Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. |
| Completed |
2007-06-26 |
|
CloudSat, Calipso and MODIS
…
| Title |
CloudSat, Calipso and MODIS over Central America |
| Abstract |
Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. |
| Completed |
2007-06-26 |
|
CloudSat, Calipso and MODIS
…
| Title |
CloudSat, Calipso and MODIS over Central America |
| Abstract |
Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. |
| Completed |
2007-06-26 |
|
CloudSat, Calipso and MODIS
…
| Title |
CloudSat, Calipso and MODIS over Central America |
| Abstract |
Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. |
| Completed |
2007-06-26 |
|
CloudSat, Calipso and MODIS
…
| Title |
CloudSat, Calipso and MODIS over Central America |
| Abstract |
Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. |
| Completed |
2007-06-26 |
|
CloudSat, Calipso and MODIS
…
| Title |
CloudSat, Calipso and MODIS over Central America |
| Abstract |
Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. |
| Completed |
2007-06-26 |
|
CloudSat, Calipso and MODIS
…
| Title |
CloudSat, Calipso and MODIS over Central America |
| Abstract |
Associated with tropical thunderstorms are broad fields of cirrus clouds that flow out of the tops of the vigorous storm systems that form over warm tropical oceans. These clouds play a role in how much infrared energy is trapped in Earth's atmosphere. NASA's Tropical Composition, Cloud and Climate Coupling (TC4) mission, which runs from July 16, 2007 through August 8, 2007, aims to document the full lifecycle of these clouds. Observations from four A-Train satellites flying in formation will complement the aircraft measurements with large-scale views of many different features of the atmosphere. Observations from this mission along with previous studies will improve our understanding of what effect a warming climate with rising ocean temperatures will have on these cloud systems. These images over Central America, produced in support of the TC4 mission, show a tropical storm system over Central and South America on August 2, 2006 as measured from multiple satellite sensors, including Aqua MODIS, CloudSat and CALIPSO. In this view from the Pacific Ocean, Panama is on the left and South America is shown on the right. In the following series of still images, each satellite's measurement is shown individually and in combination with the others from the same camera viewpoint. The profile showing CloudSat and CALIPSO data is truncated at a height of twenty kilometers and exaggerated ten times. The land topography is also exaggerated by a factor of ten. |
| Completed |
2007-06-26 |
|
MODIS Data May Aid EPA Air Q
…
| Title |
MODIS Data May Aid EPA Air Quality Predictions (Wide) |
| 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 wide area of the United States. 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 (Wide) |
| 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 wide area of the United States. 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 (Wide) |
| 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 wide area of the United States. 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 (Wide) |
| 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 wide area of the United States. 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 (Wide) |
| 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 wide area of the United States. 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 (Wide) |
| 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 wide area of the United States. This animation was inspired by a similar animation created at the Langley Research Center. |
| Completed |
2004-06-14 |
|
Creating the Tamarisk Habita
…
| Title |
Creating the Tamarisk Habitat Suitability Map (for General Use) |
| Abstract |
The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with landcover classification data the likely habitat for Tamarisk can be derived. |
| Completed |
2006-01-25 |
|
Creating the Tamarisk Habita
…
| Title |
Creating the Tamarisk Habitat Suitability Map (for General Use) |
| Abstract |
The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with landcover classification data the likely habitat for Tamarisk can be derived. |
| Completed |
2006-01-25 |
|
Creating the Tamarisk Habita
…
| Title |
Creating the Tamarisk Habitat Suitability Map (for General Use) |
| Abstract |
The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with landcover classification data the likely habitat for Tamarisk can be derived. |
| Completed |
2006-01-25 |
|
Creating the Tamarisk Habita
…
| Title |
Creating the Tamarisk Habitat Suitability Map (for General Use) |
| Abstract |
The spread of invasive species is one of the most daunting environmental, economic, and human-health problems facing the United States and the World today. It is one of several grand challenge environmental problems being addressed by NASA's Science Mission Directorate through a national application partnership with the US Geological Survey. NASA and USGS are working together to develop a National Invasive Species Forecasting System (ISFS) for the management and control of invasive species on Department of Interior and adjacent lands. The system provides a framework for using USGS's early detection and monitoring protocols and predictive models to process MODIS, ETM+, ASTER and commercial remote sensing data. It can also be used to create on-demand, regional-scale assessments of invasive species patterns and vulnerable habitats. The first step in this process is to collect relevant satellite data which can then be used to derive a Tamarisk Habitat Suitability Map. By combining satellite observed annual vegetation cycles with landcover classification data the likely habitat for Tamarisk can be derived. |
| Completed |
2006-01-25 |
|
Global Sea Surface Temperatu
…
| Title |
Global Sea Surface Temperature Anomalies from June, 2002 to September, 2003 (WMS) |
| Abstract |
The temperature of the surface of the world's oceans provides a clear indication of the state of the Earth's climate and weather. The AMSR-E instrument on the Aqua satellite measures the temperature of the top 1 millimeter of the ocean every day, even through the clouds. If the average sea surface temperature for a particular date is subtracted from the measured temperature for that date, the resulting sea surface temperature anomaly can be used to accurately assess the current state of the oceans. The anomaly can serve as an early warning system for weather phenomena and can be used to indicate forthcoming problems with fish populations and coral reef health. In this visualization of the anomaly covering the period from June, 2002, to September, 2003, the most obvious effects are a successive warming and cooling along the equator to the west of Peru, the signature of an El Nino/La Nina cycle. Around January 1, 2003, a cooler than normal region of the ocean appears in this region as part of a La Nina and flows westward, driven by the trade winds. The waves that appear on the edges of this cooler area are called tropical instability waves. |
| Completed |
2004-02-12 |
|
Global Sea Surface Temperatu
…
| Title |
Global Sea Surface Temperature Anomalies from June, 2002 to September, 2003 (WMS) |
| Abstract |
The temperature of the surface of the world's oceans provides a clear indication of the state of the Earth's climate and weather. The AMSR-E instrument on the Aqua satellite measures the temperature of the top 1 millimeter of the ocean every day, even through the clouds. If the average sea surface temperature for a particular date is subtracted from the measured temperature for that date, the resulting sea surface temperature anomaly can be used to accurately assess the current state of the oceans. The anomaly can serve as an early warning system for weather phenomena and can be used to indicate forthcoming problems with fish populations and coral reef health. In this visualization of the anomaly covering the period from June, 2002, to September, 2003, the most obvious effects are a successive warming and cooling along the equator to the west of Peru, the signature of an El Nino/La Nina cycle. Around January 1, 2003, a cooler than normal region of the ocean appears in this region as part of a La Nina and flows westward, driven by the trade winds. The waves that appear on the edges of this cooler area are called tropical instability waves. |
| Completed |
2004-02-12 |
|
Progression of Hurricane Jea
…
| Title |
Progression of Hurricane Jeanne, 2004 (WMS) |
| Abstract |
Hurricane Jeanne was the fourth hurricane to hit Florida during the 2004 hurricane season. This set of images shows the progression of the hurricane as it approached Florida from the Atlantic Ocean and the Caribbean Sea. When it hit the Florida coast on September 26, Jeanne was a Category 3 storm with sustained winds near 115 miles per hour. |
| Completed |
2004-10-22 |
|
Progression of Hurricane Jea
…
| Title |
Progression of Hurricane Jeanne, 2004 (WMS) |
| Abstract |
Hurricane Jeanne was the fourth hurricane to hit Florida during the 2004 hurricane season. This set of images shows the progression of the hurricane as it approached Florida from the Atlantic Ocean and the Caribbean Sea. When it hit the Florida coast on September 26, Jeanne was a Category 3 storm with sustained winds near 115 miles per hour. |
| Completed |
2004-10-22 |
|
Progression of Hurricane Jea
…
| Title |
Progression of Hurricane Jeanne, 2004 (WMS) |
| Abstract |
Hurricane Jeanne was the fourth hurricane to hit Florida during the 2004 hurricane season. This set of images shows the progression of the hurricane as it approached Florida from the Atlantic Ocean and the Caribbean Sea. When it hit the Florida coast on September 26, Jeanne was a Category 3 storm with sustained winds near 115 miles per hour. |
| Completed |
2004-10-22 |
|
Progression of Hurricane Jea
…
| Title |
Progression of Hurricane Jeanne, 2004 (WMS) |
| Abstract |
Hurricane Jeanne was the fourth hurricane to hit Florida during the 2004 hurricane season. This set of images shows the progression of the hurricane as it approached Florida from the Atlantic Ocean and the Caribbean Sea. When it hit the Florida coast on September 26, Jeanne was a Category 3 storm with sustained winds near 115 miles per hour. |
| Completed |
2004-10-22 |
|
Progression of Hurricane Jea
…
| Title |
Progression of Hurricane Jeanne, 2004 (WMS) |
| Abstract |
Hurricane Jeanne was the fourth hurricane to hit Florida during the 2004 hurricane season. This set of images shows the progression of the hurricane as it approached Florida from the Atlantic Ocean and the Caribbean Sea. When it hit the Florida coast on September 26, Jeanne was a Category 3 storm with sustained winds near 115 miles per hour. |
| Completed |
2004-10-22 |
|
Progression of Hurricane Jea
…
| Title |
Progression of Hurricane Jeanne, 2004 (WMS) |
| Abstract |
Hurricane Jeanne was the fourth hurricane to hit Florida during the 2004 hurricane season. This set of images shows the progression of the hurricane as it approached Florida from the Atlantic Ocean and the Caribbean Sea. When it hit the Florida coast on September 26, Jeanne was a Category 3 storm with sustained winds near 115 miles per hour. |
| Completed |
2004-10-22 |
|
Progression of Hurricane Jea
…
| Title |
Progression of Hurricane Jeanne, 2004 (WMS) |
| Abstract |
Hurricane Jeanne was the fourth hurricane to hit Florida during the 2004 hurricane season. This set of images shows the progression of the hurricane as it approached Florida from the Atlantic Ocean and the Caribbean Sea. When it hit the Florida coast on September 26, Jeanne was a Category 3 storm with sustained winds near 115 miles per hour. |
| Completed |
2004-10-22 |
|
Aqua MODIS Sea Surface Tempe
…
| Title |
Aqua MODIS Sea Surface Temperature Progression during Hurricane Katrina |
| Abstract |
The Aqua satellite orbits the Earth every 99 minutes in a polar, sun-synchronous orbit. The MODIS instrument on Aqua observes reflected light from the Earth in 36 spectral frequencies. These observations can be processed to show many properties of the Earth's surface, from temperature and phytoplankton measurements near the surface of the ocean to fire occurrences and land cover characteristics on the land surface. This animation shows MODIS sea surface temperature data from about 4 days of individual Aqua orbits. Sea surface temperature can only be measured by MODIS in ocean regions that are free of both clouds and sun glint, the bright band of specular reflection in the center of each granule. For this animation the data is accumulated and so builds up a complete picture of the surface of the Earth except around the South Pole, which is in darkness during the entire 4-day period. |
| Completed |
2006-04-07 |
|
Aqua MODIS Sea Surface Tempe
…
| Title |
Aqua MODIS Sea Surface Temperature Progression during Hurricane Katrina |
| Abstract |
The Aqua satellite orbits the Earth every 99 minutes in a polar, sun-synchronous orbit. The MODIS instrument on Aqua observes reflected light from the Earth in 36 spectral frequencies. These observations can be processed to show many properties of the Earth's surface, from temperature and phytoplankton measurements near the surface of the ocean to fire occurrences and land cover characteristics on the land surface. This animation shows MODIS sea surface temperature data from about 4 days of individual Aqua orbits. Sea surface temperature can only be measured by MODIS in ocean regions that are free of both clouds and sun glint, the bright band of specular reflection in the center of each granule. For this animation the data is accumulated and so builds up a complete picture of the surface of the Earth except around the South Pole, which is in darkness during the entire 4-day period. |
| Completed |
2006-04-07 |
|
Average Total-sky Outgoing L
…
| Title |
Average Total-sky Outgoing Longwave Flux (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 average amount of reflection and absorption is critical to the climate, because the absorbed energy heats up the Earth until it is radiated away as thermal radiation. This animation shows the monthly average outgoing longwave radiation from July, 2002 through June, 2004 as measured by the CERES instrument. This is the thermal radiation given off by the warm Earth. The Earth's rotation and the movement of warm air from the equator to the poles make the Earth roughly uniform in temperature. The most visible features are the cold poles in winter and the cold clouds along the equator which trap the outgoing thermal radiation. |
| Completed |
2005-02-01 |
|
Average Total-sky Outgoing L
…
| Title |
Average Total-sky Outgoing Longwave Flux (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 average amount of reflection and absorption is critical to the climate, because the absorbed energy heats up the Earth until it is radiated away as thermal radiation. This animation shows the monthly average outgoing longwave radiation from July, 2002 through June, 2004 as measured by the CERES instrument. This is the thermal radiation given off by the warm Earth. The Earth's rotation and the movement of warm air from the equator to the poles make the Earth roughly uniform in temperature. The most visible features are the cold poles in winter and the cold clouds along the equator which trap the outgoing thermal radiation. |
| Completed |
2005-02-01 |
|
Habitat Suitability for Tama
…
| Title |
Habitat Suitability for Tamarisk Invasion in the State of Arizona |
| Abstract |
The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of Arizona. Tamarisk spreads quickly along riverbeds and when it sheds it's leaves, this foliage secretes salt on the soil, which hinders other plant growth. Red indicates areas that are highly suitable. Yellow indicates areas which are less suitable, and grey are areas which are not suitable. |
| Completed |
2005-10-18 |
|
Habitat Suitability for Tama
…
| Title |
Habitat Suitability for Tamarisk Invasion in the State of Arizona |
| Abstract |
The Invasive Species Forecasting System (ISFS) is a partnership between NASA and The US Geological Survey (USGS). The ISFS combines NASA Earth observations and statistical models to enhance USGS capabilities to map, monitor and predict the spread of significant invasive plant species. This video shows the habitat suitability for a Tamarisk invasion in the state of Arizona. Tamarisk spreads quickly along riverbeds and when it sheds it's leaves, this foliage secretes salt on the soil, which hinders other plant growth. Red indicates areas that are highly suitable. Yellow indicates areas which are less suitable, and grey are areas which are not suitable. |
| Completed |
2005-10-18 |
|
Progression of Hurricane Emi
…
| Title |
Progression of Hurricane Emily, 2005 (WMS) |
| Abstract |
Emily was a record-setting storm for many reasons. When it formed on July 11, Emily became the earliest fifth named storm on record. As it moved through the Caribbean, Emily intensified into a powerful Category 4 storm with winds over 250 kilometers per hour (150 mph) and gusts as high as 300 kilometers per hour (184 mph), making it the most powerful storm to form before August. The previous record was set by Hurricane Dennis, which ripped through the Caribbean during the first week of July 2005. Emily's Category 4 status also made 2005 the only year to produce two Category 4 storms before the end of July. |
| Completed |
2005-07-26 |
|
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