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December 18, 2000 - (date of web publication)

Maps of Falling Water: Three Years of TRMM Data - Page Three

Note: There are numerous images and animations contained on this page. This may result in longer download times.

A LEGACY OF DISCOVERY

Everyone knows something about the rain. But one of the best parts about scientific research is discovering just how much we don't know. TRMM has been just such an instrument of discovery. In little more than three years, this Japanese and American joint effort has provided huge returns to the science community, from greater understanding of how tropical rainfall affects overall climate, to the energy budget surrounding global desert regions, to revolutionary ways for studying hurricanes. In this section we take a look at some of the TRMM program's most exciting work.

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For the purposes of understanding color codes:

Color bar for the monthly rainfall amounts (above)

Color bar for the anomaly rainfall amounts (above)

 

Rainfall Predictions - Dramatic Improvements with the "Super-ensemble" Model

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TRMM has been highly successful in increasing meteorological forecasting capabilities. Using the new "super-ensemble" forecasting technique, the following visualizations compare one day forecasts from September of that year to the collected daily observations of actual rainfall. This technique combines existing forecast models with satellite rainfall data. Tests show that the accuracy of tropical three-day rainfall forecasts can be improved as much as 100% by this method. In the following images gathered during September 1999, compare the month's collected one-day forecasts to the collected daily observations of actual rainfall. It was during that month that Hurricanes Floyd and Irene drenched much of the East Coast. In this representation the overall forecasting trend through time is more significant than precise matching of the rainfall areas depicted by the color map shown. The tropics are notoriously hard for daily precipitation prediction. This new forecasting technique is a major improvement over earlier methods.

Predicting Hurricane Intensity Far from Land

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For years scientists have known of a strong correlation between sea surface temperature and the intensity of hurricanes. But one of the major stumbling blocks for forecasters has been the precise measurement of those temperatures when a storm begins to form. Traditional techniques for sea surface temperature measurement can not see through clouds. But researchers working with TRMM have developed a technique for looking through clouds with microwaves. This technique is likely to enhance forecasters' abilities to predict the intensity of hurricanes before the storms' massive energies fully develop.

Cause and Effect: Bonnie's Trail Weakens Danielle

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A hurricane gathers energy from warm waters found in tropical latitudes. In this image we see Hurricane Bonnie cross the Atlantic, leaving a cooler trail of water in its wake. When Hurricane Danielle crosses Bonnie's path, the wind speed of the second storm drops markedly, as available energy to fuel the storm's engine drops off. But once Danielle crosses Bonnie's wake, notice how winds speed increase due to temperature increases in surface water around the storm.

Seeing Surface Temperature through Clouds

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The clouds shown in this image were collected by the Geostationary Operational Environmental Satellite (GOES). Surface temperatures were gathered by TMI, the TRMM Microwave Imager. Notice how the ocean area directly following each storm registers as slightly cooler than surrounding ocean water. This is due to the nature of hurricanes in that they power themselves on heat found near the surface in tropical oceans.

 

Studying the Heartbeat of Hurricanes

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Scientists using TRMM can now look inside hurricanes and better understand how they work by using a unique suite of active and passive sensors capable of measuring rainfall and sea surface temperature. Hurricanes act essentially as powerful engines, drawing energy up from warm tropical ocean waters to power the churning, swirling winds of their radial arms.

 

"CAT" Scans and Crystal Towers

               

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The following hurricane visualizations were developed using data from TRMM's precipitation radar. The images that dissect the storm into layers have come to be known informally as "CAT" scans for their resemblance to the medical technology that can peer inside a person's body. The term crystal towers for the 3-D, rotating images of the storms simply describes their majestic, prismatic spires rendered in electronic paint above the surface of a virtual ocean. High rates of rainfall appear in red, with lesser amounts appearing in blue. By mapping the structure of storms, experts can "take them apart" in the laboratory as they try to understand how they work. TRMM gathered data for these images of hurricanes Mitch, Georges, and Earl in 1998.

Hurricane Bonnie

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These images of Hurricane Bonnie come from the rain radar flying aboard TRMM. They show a cumulonimbus (storm) cloud towering 59,000 feet into the sky from the eyewall. Scientists believe that towering cloud structures like this are probably precursors to hurricane intensification. The satellite obtained these images on August 22, 1998.

El Nino Sea Surface Temperatures

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Satellite observations trace the evolution of warmer than normal Pacific waters associated with El Nino (shown in red) from its peak in December 1997 through its decline in early 1998. TRMM's Microwave Imager collected the data for these observations.

TRMM: Watching Rain to Help Explain

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The Tropical Rainfall Measuring Mission (TRMM) is the first Earth Science mission dedicated to studying tropical and subtropical rainfall, precipitation that falls within 35 degrees north and 35 degrees south of the equator. Tropical rainfall comprises more than two-thirds of the world's total. The satellite uses several instruments to detect rainfall including radar, microwave imaging, and lightning sensors. Flying at a low orbital altitude of 217 miles (350 kilometers), TRMM's study of tropical rainfall and attendant processes will help improve our understanding and predictions of global climate change. The Japanese space agency (NASDA) launched the satellite on an H-II rocket from Tanegashima Space Center on November 27, 1997. TRMM data is available to researchers around the world; it is managed by a team at NASA's Goddard Space Flight Center in Greenbelt, Maryland.

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