|
|
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 |
|
Smithsonian Exhibit: Antarct
…
| Title |
Smithsonian Exhibit: Antarctic Ozone Sequence 1979 through 2004 |
| Abstract |
NASA has been monitoring the status of the ozone layer through satellite observations since the 1970s, beginning with the TOMS sensors on the Nimbus satellites. The latest-generation ozone-monitoring technology, the Ozone Monitoring Instrument (OMI), is flying onboard NASA's Aura satellite. The ozone hole is not technically a 'hole' where no ozone is present, but is actually a region of exceptionally depleted ozone in the stratosphere over the Antarctic. The ozone hole begins to grow in August and reaches its largest area in depth in the middle of September to early October period. In the early years (before 1984) the hole was small because chlorine and bromine levels over Antarctica were low. Year-to-year variations in area and depth are caused by year-to-year variations in temperature. Colder conditions result in a larger area and lower ozone values in the center of the hole. This animation shows total ozone in the Antarctic region along with the maximum ozone depth and size since the earliest measurements of Earth Probe instrument on the TOMS satellite. This animation was created for an exhibit at the Smithsonium Museum. Data dropouts have been removed for the following times: 1998/12/14-31, 2002/08/03-11, 2003/11/28-2003/12/02. The minimum ozone recorded is 82.0 du on September 26, 2003. The maximum area of 29 million square kilometers (11.4 million square miles) occurred on September 9, 2000. |
| Completed |
2005-07-14 |
|
Smithsonian Exhibit: Antarct
…
| Title |
Smithsonian Exhibit: Antarctic Ozone Sequence 1979 through 2004 |
| Abstract |
NASA has been monitoring the status of the ozone layer through satellite observations since the 1970s, beginning with the TOMS sensors on the Nimbus satellites. The latest-generation ozone-monitoring technology, the Ozone Monitoring Instrument (OMI), is flying onboard NASA's Aura satellite. The ozone hole is not technically a 'hole' where no ozone is present, but is actually a region of exceptionally depleted ozone in the stratosphere over the Antarctic. The ozone hole begins to grow in August and reaches its largest area in depth in the middle of September to early October period. In the early years (before 1984) the hole was small because chlorine and bromine levels over Antarctica were low. Year-to-year variations in area and depth are caused by year-to-year variations in temperature. Colder conditions result in a larger area and lower ozone values in the center of the hole. This animation shows total ozone in the Antarctic region along with the maximum ozone depth and size since the earliest measurements of Earth Probe instrument on the TOMS satellite. This animation was created for an exhibit at the Smithsonium Museum. Data dropouts have been removed for the following times: 1998/12/14-31, 2002/08/03-11, 2003/11/28-2003/12/02. The minimum ozone recorded is 82.0 du on September 26, 2003. The maximum area of 29 million square kilometers (11.4 million square miles) occurred on September 9, 2000. |
| Completed |
2005-07-14 |
|
Smithsonian Exhibit: Antarct
…
| Title |
Smithsonian Exhibit: Antarctic Ozone Sequence 1979 through 2004 |
| Abstract |
NASA has been monitoring the status of the ozone layer through satellite observations since the 1970s, beginning with the TOMS sensors on the Nimbus satellites. The latest-generation ozone-monitoring technology, the Ozone Monitoring Instrument (OMI), is flying onboard NASA's Aura satellite. The ozone hole is not technically a 'hole' where no ozone is present, but is actually a region of exceptionally depleted ozone in the stratosphere over the Antarctic. The ozone hole begins to grow in August and reaches its largest area in depth in the middle of September to early October period. In the early years (before 1984) the hole was small because chlorine and bromine levels over Antarctica were low. Year-to-year variations in area and depth are caused by year-to-year variations in temperature. Colder conditions result in a larger area and lower ozone values in the center of the hole. This animation shows total ozone in the Antarctic region along with the maximum ozone depth and size since the earliest measurements of Earth Probe instrument on the TOMS satellite. This animation was created for an exhibit at the Smithsonium Museum. Data dropouts have been removed for the following times: 1998/12/14-31, 2002/08/03-11, 2003/11/28-2003/12/02. The minimum ozone recorded is 82.0 du on September 26, 2003. The maximum area of 29 million square kilometers (11.4 million square miles) occurred on September 9, 2000. |
| Completed |
2005-07-14 |
|
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 |
|
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 |
|
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 |
|
NASA Satellite Reveals Heavy
…
| Title |
NASA Satellite Reveals Heavy Rainfall Patterns in California |
| Abstract |
The collision of a flow of moisture from Hawaii known as a 'Pineapple Express' and a persistent low pressure system are wreaking havoc on California weather. This movie shows rain accumulation in San Diego from Jan. 6 through Jan. 11 based on data from the Tropical Rainfall Measuring Mission (TRMM)-based Multisatellite Precipitation Analysis. The accumulation is shown in colors ranging from green (less than 50 mm of rain) through red (200 mm or more). The TRMM satellite, using the world's only spaceborne rain radar and other microwave instruments, measures rainfall over the ocean. In this case instruments were able to reveal rainfall structure resulting from storms 'riding' the actual Pineapple Express extending toward Hawaii, which is beyond the range of conventional land-based National Weather Service radars. In early 1995, a Pineapple Express hit California, contributing to a season of winter storms that killed 27 people and did $3 billion in damages and costs. A Pineapple Express in mid-October 2003 wreaked havoc from south of Seattle to north of Vancouver Island. Flooding forced more than 3,000 people from their homes. |
| Completed |
2005-01-11 |
|
NASA Satellite Reveals Heavy
…
| Title |
NASA Satellite Reveals Heavy Rainfall Patterns in California |
| Abstract |
The collision of a flow of moisture from Hawaii known as a 'Pineapple Express' and a persistent low pressure system are wreaking havoc on California weather. This movie shows rain accumulation in San Diego from Jan. 6 through Jan. 11 based on data from the Tropical Rainfall Measuring Mission (TRMM)-based Multisatellite Precipitation Analysis. The accumulation is shown in colors ranging from green (less than 50 mm of rain) through red (200 mm or more). The TRMM satellite, using the world's only spaceborne rain radar and other microwave instruments, measures rainfall over the ocean. In this case instruments were able to reveal rainfall structure resulting from storms 'riding' the actual Pineapple Express extending toward Hawaii, which is beyond the range of conventional land-based National Weather Service radars. In early 1995, a Pineapple Express hit California, contributing to a season of winter storms that killed 27 people and did $3 billion in damages and costs. A Pineapple Express in mid-October 2003 wreaked havoc from south of Seattle to north of Vancouver Island. Flooding forced more than 3,000 people from their homes. |
| Completed |
2005-01-11 |
|
NASA Satellite Reveals Heavy
…
| Title |
NASA Satellite Reveals Heavy Rainfall Patterns in California |
| Abstract |
The collision of a flow of moisture from Hawaii known as a 'Pineapple Express' and a persistent low pressure system are wreaking havoc on California weather. This movie shows rain accumulation in San Diego from Jan. 6 through Jan. 11 based on data from the Tropical Rainfall Measuring Mission (TRMM)-based Multisatellite Precipitation Analysis. The accumulation is shown in colors ranging from green (less than 50 mm of rain) through red (200 mm or more). The TRMM satellite, using the world's only spaceborne rain radar and other microwave instruments, measures rainfall over the ocean. In this case instruments were able to reveal rainfall structure resulting from storms 'riding' the actual Pineapple Express extending toward Hawaii, which is beyond the range of conventional land-based National Weather Service radars. In early 1995, a Pineapple Express hit California, contributing to a season of winter storms that killed 27 people and did $3 billion in damages and costs. A Pineapple Express in mid-October 2003 wreaked havoc from south of Seattle to north of Vancouver Island. Flooding forced more than 3,000 people from their homes. |
| Completed |
2005-01-11 |
|
NASA Satellite Reveals Heavy
…
| Title |
NASA Satellite Reveals Heavy Rainfall Patterns in California |
| Abstract |
The collision of a flow of moisture from Hawaii known as a 'Pineapple Express' and a persistent low pressure system are wreaking havoc on California weather. This movie shows rain accumulation in San Diego from Jan. 6 through Jan. 11 based on data from the Tropical Rainfall Measuring Mission (TRMM)-based Multisatellite Precipitation Analysis. The accumulation is shown in colors ranging from green (less than 50 mm of rain) through red (200 mm or more). The TRMM satellite, using the world's only spaceborne rain radar and other microwave instruments, measures rainfall over the ocean. In this case instruments were able to reveal rainfall structure resulting from storms 'riding' the actual Pineapple Express extending toward Hawaii, which is beyond the range of conventional land-based National Weather Service radars. In early 1995, a Pineapple Express hit California, contributing to a season of winter storms that killed 27 people and did $3 billion in damages and costs. A Pineapple Express in mid-October 2003 wreaked havoc from south of Seattle to north of Vancouver Island. Flooding forced more than 3,000 people from their homes. |
| Completed |
2005-01-11 |
|
NASA Satellite Reveals Heavy
…
| Title |
NASA Satellite Reveals Heavy Rainfall Patterns in California |
| Abstract |
The collision of a flow of moisture from Hawaii known as a 'Pineapple Express' and a persistent low pressure system are wreaking havoc on California weather. This movie shows rain accumulation in San Diego from Jan. 6 through Jan. 11 based on data from the Tropical Rainfall Measuring Mission (TRMM)-based Multisatellite Precipitation Analysis. The accumulation is shown in colors ranging from green (less than 50 mm of rain) through red (200 mm or more). The TRMM satellite, using the world's only spaceborne rain radar and other microwave instruments, measures rainfall over the ocean. In this case instruments were able to reveal rainfall structure resulting from storms 'riding' the actual Pineapple Express extending toward Hawaii, which is beyond the range of conventional land-based National Weather Service radars. In early 1995, a Pineapple Express hit California, contributing to a season of winter storms that killed 27 people and did $3 billion in damages and costs. A Pineapple Express in mid-October 2003 wreaked havoc from south of Seattle to north of Vancouver Island. Flooding forced more than 3,000 people from their homes. |
| Completed |
2005-01-11 |
|
NASA Satellite Reveals Heavy
…
| Title |
NASA Satellite Reveals Heavy Rainfall Patterns in California |
| Abstract |
The collision of a flow of moisture from Hawaii known as a 'Pineapple Express' and a persistent low pressure system are wreaking havoc on California weather. This movie shows rain accumulation in San Diego from Jan. 6 through Jan. 11 based on data from the Tropical Rainfall Measuring Mission (TRMM)-based Multisatellite Precipitation Analysis. The accumulation is shown in colors ranging from green (less than 50 mm of rain) through red (200 mm or more). The TRMM satellite, using the world's only spaceborne rain radar and other microwave instruments, measures rainfall over the ocean. In this case instruments were able to reveal rainfall structure resulting from storms 'riding' the actual Pineapple Express extending toward Hawaii, which is beyond the range of conventional land-based National Weather Service radars. In early 1995, a Pineapple Express hit California, contributing to a season of winter storms that killed 27 people and did $3 billion in damages and costs. A Pineapple Express in mid-October 2003 wreaked havoc from south of Seattle to north of Vancouver Island. Flooding forced more than 3,000 people from their homes. |
| Completed |
2005-01-11 |
|
NASA Satellite Reveals Heavy
…
| Title |
NASA Satellite Reveals Heavy Rainfall Patterns in California |
| Abstract |
The collision of a flow of moisture from Hawaii known as a 'Pineapple Express' and a persistent low pressure system are wreaking havoc on California weather. This movie shows rain accumulation in San Diego from Jan. 6 through Jan. 11 based on data from the Tropical Rainfall Measuring Mission (TRMM)-based Multisatellite Precipitation Analysis. The accumulation is shown in colors ranging from green (less than 50 mm of rain) through red (200 mm or more). The TRMM satellite, using the world's only spaceborne rain radar and other microwave instruments, measures rainfall over the ocean. In this case instruments were able to reveal rainfall structure resulting from storms 'riding' the actual Pineapple Express extending toward Hawaii, which is beyond the range of conventional land-based National Weather Service radars. In early 1995, a Pineapple Express hit California, contributing to a season of winter storms that killed 27 people and did $3 billion in damages and costs. A Pineapple Express in mid-October 2003 wreaked havoc from south of Seattle to north of Vancouver Island. Flooding forced more than 3,000 people from their homes. |
| Completed |
2005-01-11 |
|
IMAGE Views of the Aurora fr
…
| Title |
IMAGE Views of the Aurora from Space |
| Abstract |
The IMAGE spacecraft observed intense auroral displays in the Fall of 2003 as the material from the coronal mass ejection swept past the Earth. The pressure against the Earth's magnetosphere caused it to dump more electrons into the upper atmosphere, creating auroral displays, as we see here over the South Pole. This is a view of the IMAGE data reprojected onto a model of the Earth. |
| Completed |
2004-07-08 |
|
IMAGE Views of the Aurora fr
…
| Title |
IMAGE Views of the Aurora from Space |
| Abstract |
The IMAGE spacecraft observed intense auroral displays in the Fall of 2003 as the material from the coronal mass ejection swept past the Earth. The pressure against the Earth's magnetosphere caused it to dump more electrons into the upper atmosphere, creating auroral displays, as we see here over the South Pole. This is a view of the IMAGE data reprojected onto a model of the Earth. |
| Completed |
2004-07-08 |
|
IMAGE Views of the Aurora fr
…
| Title |
IMAGE Views of the Aurora from Space |
| Abstract |
The IMAGE spacecraft observed intense auroral displays in the Fall of 2003 as the material from the coronal mass ejection swept past the Earth. The pressure against the Earth's magnetosphere caused it to dump more electrons into the upper atmosphere, creating auroral displays, as we see here over the South Pole. This is a view of the IMAGE data reprojected onto a model of the Earth. |
| Completed |
2004-07-08 |
|
IMAGE Views of the Aurora fr
…
| Title |
IMAGE Views of the Aurora from Space |
| Abstract |
The IMAGE spacecraft observed intense auroral displays in the Fall of 2003 as the material from the coronal mass ejection swept past the Earth. The pressure against the Earth's magnetosphere caused it to dump more electrons into the upper atmosphere, creating auroral displays, as we see here over the South Pole. This is a view of the IMAGE data reprojected onto a model of the Earth. |
| Completed |
2004-07-08 |
|
Southern California Fires, O
…
| Title |
Southern California Fires, Oct 26, 2003 |
| Abstract |
Several massive wildfires were raging across southern California over the weekend of October 25, 2003. Whipped by the hot, dry Santa Ana winds that blow toward the coast from interior deserts, at least one fire grew 10,000 acres in just 6 hours. Moving northwest to southeast along the coast, the first cluster of red dots is a combination of the Piru, Verdale, and the Simi Incident Fires, The next cluster-to the east of Los Angeles-is the Grand Prix (west) and Old (east) Fires, To their south is the Roblar 2 Fire, Next is the Paradise Fire, Then the massive Cedar Fire, whose thick smoke is completely overshadowing the coastal city of San Diego, Finally, at the California-Mexico border is the Otay Fire. At least 13 people have lost their lives because of these fires, which officials are reporting were caused by carelessness and arson. Thousands have been evacuated across the region and hundreds of homes have been lost. |
| Completed |
2003-10-27 |
|
Southern California Fires, O
…
| Title |
Southern California Fires, Oct 26, 2003 |
| Abstract |
Several massive wildfires were raging across southern California over the weekend of October 25, 2003. Whipped by the hot, dry Santa Ana winds that blow toward the coast from interior deserts, at least one fire grew 10,000 acres in just 6 hours. Moving northwest to southeast along the coast, the first cluster of red dots is a combination of the Piru, Verdale, and the Simi Incident Fires, The next cluster-to the east of Los Angeles-is the Grand Prix (west) and Old (east) Fires, To their south is the Roblar 2 Fire, Next is the Paradise Fire, Then the massive Cedar Fire, whose thick smoke is completely overshadowing the coastal city of San Diego, Finally, at the California-Mexico border is the Otay Fire. At least 13 people have lost their lives because of these fires, which officials are reporting were caused by carelessness and arson. Thousands have been evacuated across the region and hundreds of homes have been lost. |
| Completed |
2003-10-27 |
|
Southern California Fires, O
…
| Title |
Southern California Fires, Oct 26, 2003 |
| Abstract |
Several massive wildfires were raging across southern California over the weekend of October 25, 2003. Whipped by the hot, dry Santa Ana winds that blow toward the coast from interior deserts, at least one fire grew 10,000 acres in just 6 hours. Moving northwest to southeast along the coast, the first cluster of red dots is a combination of the Piru, Verdale, and the Simi Incident Fires, The next cluster-to the east of Los Angeles-is the Grand Prix (west) and Old (east) Fires, To their south is the Roblar 2 Fire, Next is the Paradise Fire, Then the massive Cedar Fire, whose thick smoke is completely overshadowing the coastal city of San Diego, Finally, at the California-Mexico border is the Otay Fire. At least 13 people have lost their lives because of these fires, which officials are reporting were caused by carelessness and arson. Thousands have been evacuated across the region and hundreds of homes have been lost. |
| Completed |
2003-10-27 |
|
Asian Smoke Seen by SeaWiFS
| Title |
Asian Smoke Seen by SeaWiFS |
| Abstract |
Hundreds of forest fires continue to burn across the boreal forests of Russia, releasing thick clouds of smoke that are spreading as far south as South Korea and central China. |
| Completed |
2003-05-21 |
|
Asian Smoke Seen by SeaWiFS
| Title |
Asian Smoke Seen by SeaWiFS |
| Abstract |
Hundreds of forest fires continue to burn across the boreal forests of Russia, releasing thick clouds of smoke that are spreading as far south as South Korea and central China. |
| Completed |
2003-05-21 |
|
NASA's Orbiting Earth Observ
…
| Title |
NASA's Orbiting Earth Observing Fleet (includes Aura in orange) |
| Abstract |
NASA's Earth Observing fleet of vehicles constitutes a major milestone in the history of Earth science, facilitating the kinds of wide scale and synergistic research endeavors that until the last decade have been impossible to even consider. Many of the techniques being employed around Earth are a direct offshoot of technological and scientific techniques developed on missions to other worlds. NASA's continued commitment to primary research about our home remains a top priority not only to the agency, but to the nation, and the world as a whole. This visualization shows the spacecraft in NASA's Earth Observing fleet. The relative altitudes, speeds, and sun position are correct for 12-01-2003 starting at 5:00 UTC. Aura was added as it would appear in orbit (if it were in orbit at this time). |
| Completed |
2004-05-13 |
|
NASA's Orbiting Earth Observ
…
| Title |
NASA's Orbiting Earth Observing Fleet (includes Aura in orange) |
| Abstract |
NASA's Earth Observing fleet of vehicles constitutes a major milestone in the history of Earth science, facilitating the kinds of wide scale and synergistic research endeavors that until the last decade have been impossible to even consider. Many of the techniques being employed around Earth are a direct offshoot of technological and scientific techniques developed on missions to other worlds. NASA's continued commitment to primary research about our home remains a top priority not only to the agency, but to the nation, and the world as a whole. This visualization shows the spacecraft in NASA's Earth Observing fleet. The relative altitudes, speeds, and sun position are correct for 12-01-2003 starting at 5:00 UTC. Aura was added as it would appear in orbit (if it were in orbit at this time). |
| Completed |
2004-05-13 |
|
Sea Ice Surface Temperature
…
| Title |
Sea Ice Surface Temperature with Alternate Color Scale (WMS) |
| Abstract |
This animation shows the daily sea ice surface temperature over the northern hemisphere from September 2002 through May 2003. The sea ice surface temperature was measured by the MODIS instrument on the Aqua satellite. Since this instrument cannot take measurements through clouds, in cloud-covered regions or areas with suspect data quality, previous values are retained until valid data is obtained. The satellite instruments are also unable to collect data in the dark, so the data values in polar darkness are not updated during the winter until the sun moves northwards in the spring. The color of the sea ice depicts the sea ice surface temperature. |
| Completed |
2006-03-08 |
|
Sea Ice Surface Temperature
…
| Title |
Sea Ice Surface Temperature with Alternate Color Scale (WMS) |
| Abstract |
This animation shows the daily sea ice surface temperature over the northern hemisphere from September 2002 through May 2003. The sea ice surface temperature was measured by the MODIS instrument on the Aqua satellite. Since this instrument cannot take measurements through clouds, in cloud-covered regions or areas with suspect data quality, previous values are retained until valid data is obtained. The satellite instruments are also unable to collect data in the dark, so the data values in polar darkness are not updated during the winter until the sun moves northwards in the spring. The color of the sea ice depicts the sea ice surface temperature. |
| Completed |
2006-03-08 |
|
Arctic Sea Ice Four Year Mov
…
| Title |
Arctic Sea Ice Four Year Moving Average |
| Abstract |
This visualization was created in support of the October 2003 Cryosphere Earth Science Update (ESU). |
| Completed |
2003-10-15 |
|
Arctic Sea Ice Four Year Mov
…
| Title |
Arctic Sea Ice Four Year Moving Average |
| Abstract |
This visualization was created in support of the October 2003 Cryosphere Earth Science Update (ESU). |
| Completed |
2003-10-15 |
|
Arctic Sea Ice Four Year Mov
…
| Title |
Arctic Sea Ice Four Year Moving Average |
| Abstract |
This visualization was created in support of the October 2003 Cryosphere Earth Science Update (ESU). |
| Completed |
2003-10-15 |
|
Outgoing Longwave Flux Compa
…
| Title |
Outgoing Longwave 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 outgoing thermal radiation measured by CERES during 29 orbits on June 20 and 21 of 2003 over global infrared cloud images. Thermal radiation is longwave radiation and depends on the temperature of the earth, with the most intense radiation coming from the warmest regions and the least from cold clouds in the atmosphere. Although cold clouds and the cold Antarctic night regions can be seen in this data, the Earth radiates pretty uniformly in the longwave bands because the atmosphere distributes the heat of the sun to the whole planet. |
| Completed |
2005-06-21 |
|
Outgoing Longwave Flux Compa
…
| Title |
Outgoing Longwave 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 outgoing thermal radiation measured by CERES during 29 orbits on June 20 and 21 of 2003 over global infrared cloud images. Thermal radiation is longwave radiation and depends on the temperature of the earth, with the most intense radiation coming from the warmest regions and the least from cold clouds in the atmosphere. Although cold clouds and the cold Antarctic night regions can be seen in this data, the Earth radiates pretty uniformly in the longwave bands because the atmosphere distributes the heat of the sun to the whole planet. |
| Completed |
2005-06-21 |
|
Jakobshavn Glacier Calving F
…
| Title |
Jakobshavn Glacier Calving Front Recession from 1850 to 2006 |
| Abstract |
Jakobshavn Isbrae is located on the west coast of Greenland at Latitude 69 N. The ice front, where the glacier calves into the sea, receded more than 40 km between 1850 and 2006. Between 1850 and 1964 the ice front retreated at a steady rate of about 0.3 km/yr, after which it occupied approximately the same location until 2001, when the ice front began to recede again, but far more rapidly at about 3 km/yr. After 2004, the glacier began retreating up its two main tributaries: one to the north, and a more rapid one to the southeast. These changes are important for many reasons. As more ice moves from glaciers on land into the ocean, it causes a rise in sea level. Jakobshavn Isbrae is Greenland's largest outlet glacier, draining 6.5 percent of Greenland's ice sheet area. The ice stream's speed-up and near-doubling of the ice flow from land into the ocean has increased the rate of sea level rise by about .06 millimeters (about .002 inches) per year, or roughly 4 percent of the 20th century rate of sea level increase. |
| Completed |
2006-12-18 |
|
Jakobshavn Glacier Calving F
…
| Title |
Jakobshavn Glacier Calving Front Recession from 1850 to 2006 |
| Abstract |
Jakobshavn Isbrae is located on the west coast of Greenland at Latitude 69 N. The ice front, where the glacier calves into the sea, receded more than 40 km between 1850 and 2006. Between 1850 and 1964 the ice front retreated at a steady rate of about 0.3 km/yr, after which it occupied approximately the same location until 2001, when the ice front began to recede again, but far more rapidly at about 3 km/yr. After 2004, the glacier began retreating up its two main tributaries: one to the north, and a more rapid one to the southeast. These changes are important for many reasons. As more ice moves from glaciers on land into the ocean, it causes a rise in sea level. Jakobshavn Isbrae is Greenland's largest outlet glacier, draining 6.5 percent of Greenland's ice sheet area. The ice stream's speed-up and near-doubling of the ice flow from land into the ocean has increased the rate of sea level rise by about .06 millimeters (about .002 inches) per year, or roughly 4 percent of the 20th century rate of sea level increase. |
| Completed |
2006-12-18 |
|
Jakobshavn Glacier Calving F
…
| Title |
Jakobshavn Glacier Calving Front Recession from 1850 to 2006 |
| Abstract |
Jakobshavn Isbrae is located on the west coast of Greenland at Latitude 69 N. The ice front, where the glacier calves into the sea, receded more than 40 km between 1850 and 2006. Between 1850 and 1964 the ice front retreated at a steady rate of about 0.3 km/yr, after which it occupied approximately the same location until 2001, when the ice front began to recede again, but far more rapidly at about 3 km/yr. After 2004, the glacier began retreating up its two main tributaries: one to the north, and a more rapid one to the southeast. These changes are important for many reasons. As more ice moves from glaciers on land into the ocean, it causes a rise in sea level. Jakobshavn Isbrae is Greenland's largest outlet glacier, draining 6.5 percent of Greenland's ice sheet area. The ice stream's speed-up and near-doubling of the ice flow from land into the ocean has increased the rate of sea level rise by about .06 millimeters (about .002 inches) per year, or roughly 4 percent of the 20th century rate of sea level increase. |
| Completed |
2006-12-18 |
|
Ground Level UV Exposure
| Title |
Ground Level UV Exposure |
| Abstract |
A large ozone hole means more ultraviolet exposure. TOMS tracks solar ultraviolet (UV-B radiation) measured at 290-320 nanometer wavelengths. Loss of stratospheric ozone has been linked to skin cancer in humans. Increased UV-B exposures for Southern continents can seriously impact phytoplankton and other species. Red is for high UV exposure and blue is for low UV exposure. For more information, see: http://www.gsfc.nasa.gov/topstory/2003/1208toms.html |
| Completed |
2003-11-18 |
|
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