GPM Applications Banner: Disasters

Using GPM Data for Disasters and Risk Management

Too much or too little rainfall can have significant impacts on populations around the world. As population and global temperatures increase, it is crucial to understand what locations will become more vulnerable to extreme rainfall and drought and the subsequent natural hazards (e.g., landslides) and risks (e.g., lose of property) they impose. Satellites allow us to monitor changes in the precipitation, especially over oceans and regions where ground-based data are sparse. With its near-real-time precipitation estimates and near global coverage, GPM serves as an essential tool for assessing risk and planning disaster response and recovery.  For example, near-real-time precipitation data from GPM are used within various models to help monitor and predict the path and intensity of tropical storms, vegetation fire starting and spreading, and landslide activity across the globe. The Disasters and Risk Management applications area seeks to use the GPM precipitation satellite data to improve forecasting, preparation, response, recovery, mitigation and insurance of natural hazards including tropical cyclones, floods, droughts, wildfires, landslides, and other extreme weather events.

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GPM's GMI / DPR provides views of hurricane Lane’s precipitation, showing intense storms near the center on August 19, 2018. Credit: Hal Pierce (SSAI/NASA GSFC).

 

The GPM Mission provides insight into how and why some tropical cyclones intensify and others weaken as they move from tropical to mid-latitude systems. The GPM Core Observatory’s GMI and DPR instruments allow scientists to study the internal structure of storms throughout their life cycle, and view how they change over time. Specifically, the GMI has the capability to measure the amount, size, intensity, and type of precipitation, from heavy-to moderate rain to light rain and snowfall. The DPR returns three-dimensional profiles and intensities of liquid and solid precipitation, revealing the internal structure of storms within and below clouds. Scientists use these instruments to track tropical cyclones and forecast their progression and to verify their tropical cyclone computer models. They also use instrument data to understand the distribution and movement of latent heat throughout the storm, particularly in the development of hot towers in the wall of clouds around the eye, which have been linked to rapid intensification. Together, these instruments will improve hurricane tracking and forecasts, which can help decision makers save lives.

View tropical cyclones articles

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Submerged Houston neighborhoods in the wake of Tropical Storm Harvey on August 29, 2017. Credit: Marcus Yam / Getty Images

To better understand and predict floods scientists have developed hydrological models based on how much rainfall occurs and where the water will likely go once it hits the ground. They use several satellite precipitation datasets within these models to provide near real-time estimates of when and where areas may flood on local, regional, and global scales. GPM provides frequent precipitation observations with near global coverage, of which 80% are less than 3 hours apart, exceeding the minimum deemed necessary for hydrometeorological applications. Therefore, rainfall data measured by the GPM Mission and its products, like the Integrated Multi-satellitE Retrievals for GPM (IMERG) data product, helps us better understand how changing precipitation patterns at multiple scales translates changes into hydrologic fluxes and states that can be used for flood detection and warning systems.

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Aerial view of landslide that buried Colonia las Colinas, El Salvador. Credit: USGS

Landslides are one of the most pervasive hazards in the world, resulting in more fatalities and economic damage than is generally recognized. Saturating the soil on vulnerable slopes, intense and prolonged rainfall is the most frequent landslide trigger, but seismicity, river undercutting, freeze-thaw processes, and human activity can also cause extensive and devastating landslides. Understanding where and when landslides have occurred in the past and where they may occur in the future is extremely challenging because of the lack of ground-based sensors at the landslide site to provide both triggering information (e.g. rainfall intensity and duration), and the timing and extent of the mass movement events. Precipitation measurements from remote sensing allows us to gain new insight to identify landslide activity, characterize the triggering patterns of these events spatially and temporally, assess the surface conditions for potential activity, and support the full cycle of disaster risk assessment. In particular, GPM’s more frequent and more detailed coverage of precipitation across the globe can help improve landslide model accuracy and expand potential landslide forecasting capabilities.

Learn more about GPM applications for landslides

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High severity fire in the western U.S. Credit: USDA Forest Service

Wildfires play an integral role in maintaining ecosystem biodiversity and structure.  Wildfires, which include any non-structure fire that occurs in vegetation or natural fuels, is an essential process that connects terrestrial systems to the atmosphere and climate.  However, the effects of fire can be disastrous, both immediately (e.g., poor air quality, loss of life and property) and through post-fire impacts (floods, debris flows/landslides, poor water quality). Wildfires can be triggered by several factors including lightning, high winds, drought, and people. 

There are several ongoing activities using remote sensing data to support pre-, active- and post-fire research, as well as the applicable use of these data and products in support of management decisions and strategies, policy planning and in setting rules and regulations. Frequent precipitation measurements from GPM along with temperature and land cover measurements from other satellites can provide key information to determine the overall dryness of an area and the potential start and spread of a vegetation fire. 

View wildfires articles
 

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GPM's GMI and DPR observe rainfall accumulation over the storm and 3-D vertical structure in a line of intense storms associated with the mesoscale convection system over northern New Mexico and Oklahoma on June 25, 2018. Credit: Hal Pierce (SSAI/NASA GSFC)

 

Many regions in the world experience severe weather such as thunderstorms, hail, tornadoes, and blizzards every year. Severe weather usually comes with heavy precipitation and causes unexpected hydrometeorological hazards, such as floods or landslides, which can affect thousands of people, posing a threat on life and property. Therefore, it is critically important to monitor severe weather and estimate heavy precipitation so that the occurrence and intensity of associated hydrometeorological hazards can be well identified, detected, and forecasted. Where ground-based instruments are sparse, remote sensing systems can be especially useful to observe and monitor these extreme events. Microwave sensors used by the GPM Mission allows scientists to map thunderstorm cores to gain insight into storm structures and mesoscale dynamics (e.g. thunderstorms to hurricanes) as well as detect light rain to moderate-to heavy rain and snowfall. Delivery of precipitation data from the GPM Mission is crucial for operational and research organizations to advance precipitation measurement science to improve weather forecasting that can subsequently benefit society for years to come. 

View severe weather articles

 

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Coast Guardsmen use a boat to assist residents during severe flooding around Baton Rouge, LA on August 14, 2016. Credit: Petty Officer 3rd Class Brandon Giles/Coast Guard

Every year, landslides wipe out roads or town, devastating floods put city blocks underwater, or a violent hurricane devastates the coastal communities. Natural hazards, like Hurricane Maria or flooding in Houston, have huge impacts on people around the world. Heavy rains and large storm systems are often significant factors that cause these disasters to have huge economic costs or even kill people. The best defense against natural hazards is accurate and early warning systems. Understanding the timing, location, and intensity of precipitation extremes using GPM data, organizations that handle disaster response and recovery can monitor, assess, and understand the damage or potential damage of a disaster. These efforts help to minimize the impact of a natural disaster as well as effectively coordinate with organizations and the public before, during, after so as many people are safe and needs are met. 

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A house on the Jersey Shore submerged in water in the aftermath of Hurricane Sandy.  Credit: Jim Greenhill via BU Today

The insurance and disaster management industries are closely related; dealing with the risk of natural disaster and managing the events following disasters. Reinsurance companies work to understand the need of its potential customers and the risks to which they may be exposed.  A companies’ success is generally tied to the ability to forecast the probability of natural hazards, including storms, floods, and landslides. Earth Science data and information derived from remote sensing instruments over the last decade have made it more feasible to develop climate records and understand region’s susceptibility to a natural disaster. Such data are then used to design payout triggers when natural hazards occurs. Policyholders are then compensated according to the strength of the measured event against those triggers. Specially, reinsurance companies across the world use rainfall data from GPM to develop rainfall thresholds to design insurance payouts when disasters strike. 

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GPM Sees Developing Tropical Storm Barry in the Gulf of Mexico

NASA / JAXA’s GPM Core Observatory passed over developing Tropical Depression 2 (which was upgraded to Tropical Storm Barry later in the morning) in the Gulf of Mexico the morning of July 11th 2019 at 8:26am CT, capturing estimates of rainfall rates within the storm. The first image shows rainfall rates collected by GPM’s Microwave Imager, while the second image shows 3D rainfall rates within the atmospheric column from GPM’s Dual-frequency Precipitation Radar (DPR). The DPR measured storm top heights as high as 18 km, which is extremely high and indicative of intense thunderstorm activity

GPM Flies Over Flooding Rainfall in Washington DC

Washington DC experienced extreme rainfall the morning of July 8th, 2019 when a cluster of slow-moving thunderstorms moving through the area tapped into a very moist airmass to produce extremely heavy rains, which resulted in flash flooding throughout the region. The storms were triggered by a nearby frontal boundary. The GPM Core Observatory passed over this storm system at 8:51am ET, with its Dual-frequency Precipitation Radar measuring rainfall rates in excess of 100 mm/hr in some areas. Reagan National Airport (DCA) also reported receiving 80 mm of rainfall in one hour, corroborating the

NASA Reveals Heavy Rainfall in Tropical Cyclone Fani

Satellite data revealed heavy rainfall in powerful Tropical Cyclone Fani before it made landfall in northeastern India. Fani brought that soaking rain to the region and continues to drop heavy rainfall on May 3, as it moves toward Bangladesh. NASA’s GPM or Global Precipitation Measurement mission satellite provides information on precipitation from its orbit in space. On May 1 at 7:56 a.m. EDT (1156 UTC), the GPM Core Observatory captured an overpass of the powerful storm as it continued strengthening and moving toward landfall. A 3D image and a color-enhanced rainfall image were created at

GPM Flies Over Developing Tropical Storm Idai Twice

Intense Tropical Cyclone Idai started as a tropical depression on the 4th of March, 2019, off the coast of Mozambique. After making landfall over Mozambique it turned back over the Mozambique Channel and strengthened to become a tropical cyclone on the 10th of March. The GPM satellite captured the cyclone with both the GPM Microwave Imager (GMI) and the Dual-frequency Precipitation Radar (DPR) on the 11th of March at 04:36 UTC when the storm was in the middle on the Mozambique Channel. The DPR captured a well-developed eye, seen at the center of the image. It flew over the storm once again at

GPM Examines Weakening Tropical Cyclone Kenanga

Tropical cyclone Kenanga has started to weaken as predicted. The GPM core observatory satellite had an excellent view of Kenanga on December 20, 2018 at 1454 UTC when the tropical cyclone's maximum sustained winds had decreased to about 90 kts (103.5 mph). That GPM pass also showed that the eye that was so prominent a day earlier had filled. Data collected by the satellite's Microwave Imager (GMI) and GPM's Dual-Frequency Precipitation Radar (DPR) instruments revealed through the overcast that powerful storms south of Kenanga's center of circulation were still producing very heavy rainfall

GPM captured Dorian at 10:41 UTC (6:41 am EDT) on the 4th of September when the storm was moving north-northwest parallel to the coast of Florida about 90 miles due east of Daytona Beach.  Three days earlier, Dorian had struck the northern Bahamas as one of the most powerful Category 5 hurricanes on record in the Atlantic with sustained winds of 185 mph.  The powerful storm to ravaged the northern Bahamas for 2 full days.  During this time, Dorian began to weaken due to its interactions with the islands as well as the upwelling of cooler ocean waters from having remained in the same location...

The Global Precipitation Measurement (GPM) Core Observatory captured these images of Hurricane Dorian on September 1st  (21:22 UTC) as the storm was directly over Abaco Island in The Bahamas.  At that time, the storm was a category 5 hurricane with maximum sustained winds of 185 mph (295 km/h) with gusts over 200 mph.

Hurricane Dorian on September 1, 2019 (21:22 UTC) over Abaco Island in The Bahamas

Visualizers: Kel Elkins (lead), Greg Shirah, Alex Kekesi

For more information or to download this public domain video, go to  https://svs.gsfc.nasa.gov/4751#27911

NASA has a unique and important view of hurricanes around the planet. Satellites and aircraft watch as storms form, travel across the ocean and sometimes, make landfall. After the hurricanes have passed, the satellites and aircraft see the aftermath of hurricanes, from downed forests to mass power loss. Complete transcript available.

Music credit: "Northern Breeze" by Denis Levaillant [SACEM], "Stunning Horizon" by Maxime Lebidois [SACEM], Ronan Maillard [SACEM], "Magnetic Force" by JC Lemay [SACEM] from Killer Tracks

This video is public domain and along with other supporting visualizations...

On February 27, 2019, we celebrate five years in orbit for the NASA/JAXA Global Precipitation Measurement mission, or GPM. Launched from Japan on February 27, 2014, GPM has changed the way we see precipitation. It has provided unprecedented three-dimensional views of precipitation light rain to intense thunderstorms. To mark its five years, we're looking back at five big moments in GPM's history of observing storms. Music provided by Killer Tracks: "Life Defrosts," "Revolutions Are Infinite," "Formulas and Equations" Complete transcript available.

This video is public domain and along with...

NASA's Global Precipitation Measurement mission or GPM core observatory satellite flew over Tropical Storm John on August 6, 2018.   GPM showed that the large tropical cyclone was becoming well organized and had intense rainfall within feeder bands that were spiraling toward John's center. GPM's radar (DPR Ku Band) revealed that a band of powerful storms northeast of John's center were dropping rain at a rate of close to 160 mm (6.3 inches) per hour.

The GPM Core Observatory carries two instruments that show the location and intensity of rain and snow, which defines a crucial part of the...

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