|
|
Smoke from Eastern Australia
…
| Title |
Smoke from Eastern Australia, 1/02/2002 |
| Abstract |
The Fires in New South Wales Continue to Send Great Quantities of Smoke Across the Tasman Sea. |
| Completed |
2002-01-02 |
|
Smoke from Eastern Australia
…
| Title |
Smoke from Eastern Australia, 1/02/2002 |
| Abstract |
The Fires in New South Wales Continue to Send Great Quantities of Smoke Across the Tasman Sea. |
| Completed |
2002-01-02 |
|
Fires over Europe during 200
…
| Title |
Fires over Europe during 2001 and 2002 |
| Abstract |
This animation shows fire activity over Europe from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and grey. |
| Completed |
2002-08-26 |
|
Fires over Europe during 200
…
| Title |
Fires over Europe during 2001 and 2002 |
| Abstract |
This animation shows fire activity over Europe from 8/21/2001 to 8/20/2002. The fires are shown as tiny particles with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and grey. |
| Completed |
2002-08-26 |
|
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 |
|
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 |
|
Larsen Ice Shelf Collapse (W
…
| Title |
Larsen Ice Shelf Collapse (WMS) |
| Abstract |
The Larsen ice shelf at the northern end of the Antarctic Peninsula experienced a dramatic collapse between January 31 and March 7, 2002. First, melt ponds appeared on the ice shelf during these summer months (seen in blue on the shelf), then a minor collapse of about 800 square kilometers occurred. Finally, a 2600 square kilometer collapse took place, leaving thousands of sliver icebergs and berg fragments where the shelf formerly lay. Brownish streaks within the floating chunks mark areas where rocks and morainal debris are exposed from the former underside and interior of the shelf. These images were acquired by the MODIS instrument on the Terra satellite. |
| Completed |
2005-03-04 |
|
Larsen Ice Shelf Collapse (W
…
| Title |
Larsen Ice Shelf Collapse (WMS) |
| Abstract |
The Larsen ice shelf at the northern end of the Antarctic Peninsula experienced a dramatic collapse between January 31 and March 7, 2002. First, melt ponds appeared on the ice shelf during these summer months (seen in blue on the shelf), then a minor collapse of about 800 square kilometers occurred. Finally, a 2600 square kilometer collapse took place, leaving thousands of sliver icebergs and berg fragments where the shelf formerly lay. Brownish streaks within the floating chunks mark areas where rocks and morainal debris are exposed from the former underside and interior of the shelf. These images were acquired by the MODIS instrument on the Terra satellite. |
| Completed |
2005-03-04 |
|
Larsen Ice Shelf Collapse (W
…
| Title |
Larsen Ice Shelf Collapse (WMS) |
| Abstract |
The Larsen ice shelf at the northern end of the Antarctic Peninsula experienced a dramatic collapse between January 31 and March 7, 2002. First, melt ponds appeared on the ice shelf during these summer months (seen in blue on the shelf), then a minor collapse of about 800 square kilometers occurred. Finally, a 2600 square kilometer collapse took place, leaving thousands of sliver icebergs and berg fragments where the shelf formerly lay. Brownish streaks within the floating chunks mark areas where rocks and morainal debris are exposed from the former underside and interior of the shelf. These images were acquired by the MODIS instrument on the Terra satellite. |
| Completed |
2005-03-04 |
|
Larsen Ice Shelf Collapse (W
…
| Title |
Larsen Ice Shelf Collapse (WMS) |
| Abstract |
The Larsen ice shelf at the northern end of the Antarctic Peninsula experienced a dramatic collapse between January 31 and March 7, 2002. First, melt ponds appeared on the ice shelf during these summer months (seen in blue on the shelf), then a minor collapse of about 800 square kilometers occurred. Finally, a 2600 square kilometer collapse took place, leaving thousands of sliver icebergs and berg fragments where the shelf formerly lay. Brownish streaks within the floating chunks mark areas where rocks and morainal debris are exposed from the former underside and interior of the shelf. These images were acquired by the MODIS instrument on the Terra satellite. |
| Completed |
2005-03-04 |
|
Larsen Ice Shelf Collapse (W
…
| Title |
Larsen Ice Shelf Collapse (WMS) |
| Abstract |
The Larsen ice shelf at the northern end of the Antarctic Peninsula experienced a dramatic collapse between January 31 and March 7, 2002. First, melt ponds appeared on the ice shelf during these summer months (seen in blue on the shelf), then a minor collapse of about 800 square kilometers occurred. Finally, a 2600 square kilometer collapse took place, leaving thousands of sliver icebergs and berg fragments where the shelf formerly lay. Brownish streaks within the floating chunks mark areas where rocks and morainal debris are exposed from the former underside and interior of the shelf. These images were acquired by the MODIS instrument on the Terra satellite. |
| Completed |
2005-03-04 |
|
Larsen Ice Shelf Collapse (W
…
| Title |
Larsen Ice Shelf Collapse (WMS) |
| Abstract |
The Larsen ice shelf at the northern end of the Antarctic Peninsula experienced a dramatic collapse between January 31 and March 7, 2002. First, melt ponds appeared on the ice shelf during these summer months (seen in blue on the shelf), then a minor collapse of about 800 square kilometers occurred. Finally, a 2600 square kilometer collapse took place, leaving thousands of sliver icebergs and berg fragments where the shelf formerly lay. Brownish streaks within the floating chunks mark areas where rocks and morainal debris are exposed from the former underside and interior of the shelf. These images were acquired by the MODIS instrument on the Terra satellite. |
| Completed |
2005-03-04 |
|
A Portrait of Global Fires d
…
| Title |
A Portrait of Global Fires during 2001 and 2002 |
| Abstract |
This animation shows a unique picture of seasonal fire activity. Here, global fire activity is displayed as tiny particles on a rotating globe with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and grey. |
| Completed |
2002-08-26 |
|
A Portrait of Global Fires d
…
| Title |
A Portrait of Global Fires during 2001 and 2002 |
| Abstract |
This animation shows a unique picture of seasonal fire activity. Here, global fire activity is displayed as tiny particles on a rotating globe with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and grey. |
| Completed |
2002-08-26 |
|
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 |
|
Mount Kilimanjaro's Vanishin
…
| Title |
Mount Kilimanjaro's Vanishing Snow Cap (WMS) |
| Abstract |
During the last few decades, the permanent snow and ice on the summit of Mount Kilimanjaro has almost completely disappeared, at the rate of about a foot and a half of glacial ice lost per year. This loss is primarily due to increasing average annual temperatures in the region, and scientists are speculating that the glaciers could be completely gone from Kilimanjaro by the year 2015. This ice cap formed more than 11,000 years ago, and 80% of the ice fields have been lost in only the last century. The shrinkage is illustrated here in Landsat images from 1993, 2000, and 2002, with the 1993 image showing a significant ice cap and the more recent images showing only small glaciers and snow regions remaining. |
| Completed |
2005-03-07 |
|
Monthly Sea Ice Climatology,
…
| Title |
Monthly Sea Ice Climatology, 1979-2002 (WMS) |
| Abstract |
Sea ice is frozen seawater floating on the surface of the ocean. Some sea ice is permanent, persisting from year to year, and some is seasonal, melting and refreezing from season to season. Because the extent of the sea ice is important both for the Arctic marine ecology and for the role it plays in the Earth's climate, understanding the variation of this extent during the year and from year-to-year is vital. The first step in understanding the behavior of the sea ice is to calculate the average behavior of the sea ice over a single year. This behavior, called the climatology, is calculated by averaging the sea ice concentration over each month of a long period, in this case from October 1978 through September 2002. This animation shows the 23-year average sea ice concentration in the northern hemisphere for each particular month of the year. Generally, the minimum extent of sea ice occurs in September, and the maximum occurs in March. |
| Completed |
2005-05-28 |
|
Monthly Sea Ice Climatology,
…
| Title |
Monthly Sea Ice Climatology, 1979-2002 (WMS) |
| Abstract |
Sea ice is frozen seawater floating on the surface of the ocean. Some sea ice is permanent, persisting from year to year, and some is seasonal, melting and refreezing from season to season. Because the extent of the sea ice is important both for the Arctic marine ecology and for the role it plays in the Earth's climate, understanding the variation of this extent during the year and from year-to-year is vital. The first step in understanding the behavior of the sea ice is to calculate the average behavior of the sea ice over a single year. This behavior, called the climatology, is calculated by averaging the sea ice concentration over each month of a long period, in this case from October 1978 through September 2002. This animation shows the 23-year average sea ice concentration in the northern hemisphere for each particular month of the year. Generally, the minimum extent of sea ice occurs in September, and the maximum occurs in March. |
| Completed |
2005-05-28 |
|
A Portrait of Global Fires d
…
| Title |
A Portrait of Global Fires during 2001 and 2002 with Clock |
| Abstract |
This animation shows a unique picture of seasonal fire activity. Here, global fire activity is displayed as tiny particles on a rotating globe with each particle depicting the site at which a fire was detected. Daily fires are displayed at a rate of 10 days per second. The fire particles fade over 1.7 seconds and change color as they age from red to orange, yellow and grey. A clock overlay shows the date. |
| Completed |
2002-08-26 |
|
MODIS Sea Surface Temperatur
…
| Title |
MODIS Sea Surface Temperature around the Australian Continent |
| Abstract |
The earliest technique for measuring Sea Surface Temperature (SST) was dipping a thermometer into a bucket of water. The first automated technique for determining SST was accomplished by measuring the temperature of water in the intake port of large ships. A large network of coastal buoys in U.S. waters is maintained by the National Data Buoy Center (NDBC). Since about 1990, there has also been an extensive array of moored buoys maintained across the equatorial Pacific Ocean designed to help monitor and predict the El Niño phenomenon. Since the 1980s satellites have been increasingly utilized to measure SST and have provided an enormous leap in our ability to view the spatial and temporal variation in SST. The satellite measured SST provides both a synoptic view of the ocean and a high frequency of repeat views, allowing the examination of basin-wide upper ocean dynamics not possible with ships or buoys. For example, a ship traveling at 10 knots (20 km/h) would require 10 years to cover the same area a satellite covers in two minutes. This animation uses SST data taken at nighttime from the MODIS/Aqua and MODIS/Terra satellites. This data has many important applications that permit scientists to use ocean temperatures to observe ocean circulation and locate major ocean currents. Ocean current analysis can facilitate ocean transportation. Additionally, by using SST, scientists can monitor changes in ocean temperatures and relate these to weather and climate changes like coral bleaching around the Great Barrier Reef. Finally, the SST changes have many important biological implications for hospitable/inhospitable conditions for many organisms including species of plankton, seagrasses, shellfish, fish, coral, and mammals. |
| Completed |
2005-02-28 |
|
MODIS Sea Surface Temperatur
…
| Title |
MODIS Sea Surface Temperature around the Australian Continent |
| Abstract |
The earliest technique for measuring Sea Surface Temperature (SST) was dipping a thermometer into a bucket of water. The first automated technique for determining SST was accomplished by measuring the temperature of water in the intake port of large ships. A large network of coastal buoys in U.S. waters is maintained by the National Data Buoy Center (NDBC). Since about 1990, there has also been an extensive array of moored buoys maintained across the equatorial Pacific Ocean designed to help monitor and predict the El Niño phenomenon. Since the 1980s satellites have been increasingly utilized to measure SST and have provided an enormous leap in our ability to view the spatial and temporal variation in SST. The satellite measured SST provides both a synoptic view of the ocean and a high frequency of repeat views, allowing the examination of basin-wide upper ocean dynamics not possible with ships or buoys. For example, a ship traveling at 10 knots (20 km/h) would require 10 years to cover the same area a satellite covers in two minutes. This animation uses SST data taken at nighttime from the MODIS/Aqua and MODIS/Terra satellites. This data has many important applications that permit scientists to use ocean temperatures to observe ocean circulation and locate major ocean currents. Ocean current analysis can facilitate ocean transportation. Additionally, by using SST, scientists can monitor changes in ocean temperatures and relate these to weather and climate changes like coral bleaching around the Great Barrier Reef. Finally, the SST changes have many important biological implications for hospitable/inhospitable conditions for many organisms including species of plankton, seagrasses, shellfish, fish, coral, and mammals. |
| Completed |
2005-02-28 |
|
MODIS Sea Surface Temperatur
…
| Title |
MODIS Sea Surface Temperature around the Australian Continent |
| Abstract |
The earliest technique for measuring Sea Surface Temperature (SST) was dipping a thermometer into a bucket of water. The first automated technique for determining SST was accomplished by measuring the temperature of water in the intake port of large ships. A large network of coastal buoys in U.S. waters is maintained by the National Data Buoy Center (NDBC). Since about 1990, there has also been an extensive array of moored buoys maintained across the equatorial Pacific Ocean designed to help monitor and predict the El Niño phenomenon. Since the 1980s satellites have been increasingly utilized to measure SST and have provided an enormous leap in our ability to view the spatial and temporal variation in SST. The satellite measured SST provides both a synoptic view of the ocean and a high frequency of repeat views, allowing the examination of basin-wide upper ocean dynamics not possible with ships or buoys. For example, a ship traveling at 10 knots (20 km/h) would require 10 years to cover the same area a satellite covers in two minutes. This animation uses SST data taken at nighttime from the MODIS/Aqua and MODIS/Terra satellites. This data has many important applications that permit scientists to use ocean temperatures to observe ocean circulation and locate major ocean currents. Ocean current analysis can facilitate ocean transportation. Additionally, by using SST, scientists can monitor changes in ocean temperatures and relate these to weather and climate changes like coral bleaching around the Great Barrier Reef. Finally, the SST changes have many important biological implications for hospitable/inhospitable conditions for many organisms including species of plankton, seagrasses, shellfish, fish, coral, and mammals. |
| Completed |
2005-02-28 |
|
MODIS Sea Surface Temperatur
…
| Title |
MODIS Sea Surface Temperature around the Australian Continent |
| Abstract |
The earliest technique for measuring Sea Surface Temperature (SST) was dipping a thermometer into a bucket of water. The first automated technique for determining SST was accomplished by measuring the temperature of water in the intake port of large ships. A large network of coastal buoys in U.S. waters is maintained by the National Data Buoy Center (NDBC). Since about 1990, there has also been an extensive array of moored buoys maintained across the equatorial Pacific Ocean designed to help monitor and predict the El Niño phenomenon. Since the 1980s satellites have been increasingly utilized to measure SST and have provided an enormous leap in our ability to view the spatial and temporal variation in SST. The satellite measured SST provides both a synoptic view of the ocean and a high frequency of repeat views, allowing the examination of basin-wide upper ocean dynamics not possible with ships or buoys. For example, a ship traveling at 10 knots (20 km/h) would require 10 years to cover the same area a satellite covers in two minutes. This animation uses SST data taken at nighttime from the MODIS/Aqua and MODIS/Terra satellites. This data has many important applications that permit scientists to use ocean temperatures to observe ocean circulation and locate major ocean currents. Ocean current analysis can facilitate ocean transportation. Additionally, by using SST, scientists can monitor changes in ocean temperatures and relate these to weather and climate changes like coral bleaching around the Great Barrier Reef. Finally, the SST changes have many important biological implications for hospitable/inhospitable conditions for many organisms including species of plankton, seagrasses, shellfish, fish, coral, and mammals. |
| Completed |
2005-02-28 |
|
Jakobshavn Glacial Floe
| Title |
Jakobshavn Glacial Floe |
| Abstract |
Jakobshavn Isbrae holds the record as Greenland's fastest moving glacier and major contributor to the mass balance of the continental ice sheet. Starting in late 2000, following a period of slowing down in the mid 1990s, the glacier showed significant acceleration and nearly doubled its discharge of ice. |
| Completed |
2004-11-30 |
|
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 |
|
RHESSI Observes the Flare ov
…
| Title |
RHESSI Observes the Flare over AR9906 - rotate view without times |
| Abstract |
Zoom in (with rotation) to solar active region AR9906 on April 21, 2002 with SOHO/EIT, TRACE and RHESSI data. RHESSI observes x-rays from this flare. The red contours represent the 12-25 keV photon energy range and the blue contours represent 50-100 keV. |
| Completed |
2002-06-03 |
|
RHESSI Observes the Flare ov
…
| Title |
RHESSI Observes the Flare over AR9906 - rotate view without times |
| Abstract |
Zoom in (with rotation) to solar active region AR9906 on April 21, 2002 with SOHO/EIT, TRACE and RHESSI data. RHESSI observes x-rays from this flare. The red contours represent the 12-25 keV photon energy range and the blue contours represent 50-100 keV. |
| Completed |
2002-06-03 |
|
RHESSI Observes the Flare ov
…
| Title |
RHESSI Observes the Flare over AR9906 - rotate view without times |
| Abstract |
Zoom in (with rotation) to solar active region AR9906 on April 21, 2002 with SOHO/EIT, TRACE and RHESSI data. RHESSI observes x-rays from this flare. The red contours represent the 12-25 keV photon energy range and the blue contours represent 50-100 keV. |
| Completed |
2002-06-03 |
|
RHESSI Observes the Flare ov
…
| Title |
RHESSI Observes the Flare over AR9906 - rotate view without times |
| Abstract |
Zoom in (with rotation) to solar active region AR9906 on April 21, 2002 with SOHO/EIT, TRACE and RHESSI data. RHESSI observes x-rays from this flare. The red contours represent the 12-25 keV photon energy range and the blue contours represent 50-100 keV. |
| Completed |
2002-06-03 |
|
RHESSI Observes the Flare ov
…
| Title |
RHESSI Observes the Flare over AR9906 - rotate view without times |
| Abstract |
Zoom in (with rotation) to solar active region AR9906 on April 21, 2002 with SOHO/EIT, TRACE and RHESSI data. RHESSI observes x-rays from this flare. The red contours represent the 12-25 keV photon energy range and the blue contours represent 50-100 keV. |
| Completed |
2002-06-03 |
|
RHESSI Observes the Flare ov
…
| Title |
RHESSI Observes the Flare over AR9906 - rotate view without times |
| Abstract |
Zoom in (with rotation) to solar active region AR9906 on April 21, 2002 with SOHO/EIT, TRACE and RHESSI data. RHESSI observes x-rays from this flare. The red contours represent the 12-25 keV photon energy range and the blue contours represent 50-100 keV. |
| Completed |
2002-06-03 |
|
RHESSI Observes the Flare ov
…
| Title |
RHESSI Observes the Flare over AR9906 - rotate view without times |
| Abstract |
Zoom in (with rotation) to solar active region AR9906 on April 21, 2002 with SOHO/EIT, TRACE and RHESSI data. RHESSI observes x-rays from this flare. The red contours represent the 12-25 keV photon energy range and the blue contours represent 50-100 keV. |
| Completed |
2002-06-03 |
|
Time Sequence of Arizona Fir
…
| Title |
Time Sequence of Arizona Fires |
| Abstract |
The Arizona Fires is believed to be the largest fire to date in the history of the state which started on June 18, 2002. The following data was taken from the Terra/MODIS instrument which was collected over a course of eight days. |
| Completed |
2002-07-01 |
|
Time Sequence of Arizona Fir
…
| Title |
Time Sequence of Arizona Fires |
| Abstract |
The Arizona Fires is believed to be the largest fire to date in the history of the state which started on June 18, 2002. The following data was taken from the Terra/MODIS instrument which was collected over a course of eight days. |
| Completed |
2002-07-01 |
|
Time Sequence of Arizona Fir
…
| Title |
Time Sequence of Arizona Fires |
| Abstract |
The Arizona Fires is believed to be the largest fire to date in the history of the state which started on June 18, 2002. The following data was taken from the Terra/MODIS instrument which was collected over a course of eight days. |
| Completed |
2002-07-01 |
|
Time Sequence of Arizona Fir
…
| Title |
Time Sequence of Arizona Fires |
| Abstract |
The Arizona Fires is believed to be the largest fire to date in the history of the state which started on June 18, 2002. The following data was taken from the Terra/MODIS instrument which was collected over a course of eight days. |
| Completed |
2002-07-01 |
|
Time Sequence of Arizona Fir
…
| Title |
Time Sequence of Arizona Fires |
| Abstract |
The Arizona Fires is believed to be the largest fire to date in the history of the state which started on June 18, 2002. The following data was taken from the Terra/MODIS instrument which was collected over a course of eight days. |
| Completed |
2002-07-01 |
|
Time Sequence of Arizona Fir
…
| Title |
Time Sequence of Arizona Fires |
| Abstract |
The Arizona Fires is believed to be the largest fire to date in the history of the state which started on June 18, 2002. The following data was taken from the Terra/MODIS instrument which was collected over a course of eight days. |
| Completed |
2002-07-01 |
|
Time Sequence of Arizona Fir
…
| Title |
Time Sequence of Arizona Fires |
| Abstract |
The Arizona Fires is believed to be the largest fire to date in the history of the state which started on June 18, 2002. The following data was taken from the Terra/MODIS instrument which was collected over a course of eight days. |
| Completed |
2002-07-01 |
|
Time Sequence of Arizona Fir
…
| Title |
Time Sequence of Arizona Fires |
| Abstract |
The Arizona Fires is believed to be the largest fire to date in the history of the state which started on June 18, 2002. The following data was taken from the Terra/MODIS instrument which was collected over a course of eight days. |
| Completed |
2002-07-01 |
|
Time Sequence of Arizona Fir
…
| Title |
Time Sequence of Arizona Fires |
| Abstract |
The Arizona Fires is believed to be the largest fire to date in the history of the state which started on June 18, 2002. The following data was taken from the Terra/MODIS instrument which was collected over a course of eight days. |
| Completed |
2002-07-01 |
|
Time Sequence of Arizona Fir
…
| Title |
Time Sequence of Arizona Fires |
| Abstract |
The Arizona Fires is believed to be the largest fire to date in the history of the state which started on June 18, 2002. The following data was taken from the Terra/MODIS instrument which was collected over a course of eight days. |
| Completed |
2002-07-01 |
|
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 |
|
|
