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.

View floods articles

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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 Core Observatory data of precipitation within Typhoon Mawar
Driven by powerful winds and intense rainfall, Typhoon Mawar emerged as a rapidly intensifying storm in the western Pacific Ocean. Originating from a tropical disturbance, the typhoon swiftly developed into a significant weather system, eventually making landfall on the U.S. territory of Guam on May 25, 2023, as a Category 4 typhoon. After hitting Guam, it further intensified into a Category 5 typhoon, making it one of the most powerful storms on record in the month of May. Download this video from the NASA Goddard Scientific Visualization Studio The combination of NASA’s IMERG precipitation
IMERG rainfall totals from Cyclone Freddy
Tropical Cyclone Freddy first made landfall along the east coast of Madagascar just north of the town of Mananjary on Feb. 21, 2023, as a Category 3 cyclone with average winds reported at ~81 mph (130 km/h) and gusts up to ~112 mph (180 km/h). After crossing over Madagascar Freddy continued westward over the Mozambique Channel before making landfall again along the east coast of Mozambique just south of Vilankulos as a moderate tropical storm with sustained winds estimated at 50 mph. Despite being weaker at landfall, Freddy caused widespread flooding across parts of Mozambique due to the storm stalling out near the coast after making landfall. Incredibly, Freddy drifted back out over the Mozambique Channel, nearly making landfall along the southwest coast of Madagascar. It then changed direction, re-intensified, weakened, re-intensified one last time, and made landfall once again on March 11 near Quelimane, Mozambique, as a Category 1 cyclone with sustained winds reported at 90 mph.
GPM overpass of tropical storm Nicole
Hurricane Nicole hit the East Coast of Florida early yesterday morning, November 10 th , 2022, at 3:00 am (EST) just south of Vero Beach at North Hutchinson Island. But, unlike Hurricane Ian which came ashore in late September as a powerful Category 4 storm that devasted parts of southwest Florida, Nicole made landfall as minimal Category 1 storm. Though far less intense, Nicole has still brought some heavy rain and gusty winds to the region. Nicole originated from a non-tropical low pressure system over the southwestern Atlantic. As a result, when the National Hurricane Center (NHC) was first
GPM overpass of Hurricane Ian on Sept. 26, 2022
Hurricane Ian became one of the strongest hurricanes on record to strike Florida when it made landfall Wednesday, Sept. 28th, 2022, around 3:10 pm (EDT) as a Category 4 storm near Cayo Costa, FL, about 20 miles west-southwest of Punta Gorda on Florida’s southwest coast. This same area was hit hard by Hurricane Charley in 2004, which also made landfall as a strong Category 4 storm. Both storms passed over and were intensified by the deep, warm waters of the southeastern Gulf of Mexico. Ian originated from a tropical easterly wave that propagated westward off the coast of Africa across the
IMERG analysis of Hurricane Ian
On Sept. 30, 2022, Hurricane Ian was approaching South Carolina, which was one day after Ian finished its west-to-east crossing of Florida. NASA has been estimating Hurricane Ian's precipitation over land and ocean, which complements the array of detailed observations collected by NOAA and other agencies of Ian's impact over land.
GPM Examines Hurricane Irma
The GPM core observatory satellite had an exceptional view of hurricane Irma's eye when it flew above it on September 5, 2017 at 12:52 PM AST (1652 UTC). This visualization shows a rainfall analysis that was derived from GPM's Microwave Imager (GMI) and Dual-Frequency Precipitation Radar (DPR) data. Irma was approaching the Leeward Islands with maximum sustained winds of about 178 mph (155 kts). This made Irma a dangerous category five hurricane on the Saffir-Simpson hurricane wind scale. Intense rainfall is shown within Irma's nearly circular eye. This 3-D cross-section through Irma's eye was...
Hurricane Irma's Heat Engine Exposed
At 1 PM EDT (1700 UTC) on September 5, 2017, the radar on the Global Precipitation Measuring Mission (GPM) satellite captured this 3D view of the heat engine inside of category-5 Hurricane Irma. Under the central ring of clouds that circles the eye, water that had evaporated from the ocean surface condenses, releases heat, and powers the circling winds of the hurricane. The radar on the GPM satellite is able to estimate how much water is falling as precipitation inside of the hurricane, which serves as a guide to how much energy is being released inside the hurricane's central "heat engine."...
GPM Captures Hurricane Harvey's Rainfall
Music: "Whirlpool," Michael Jan Levine, Killer Tracks The Global Precipitation Measurement (GPM) Core Observatory captured these images of Hurricane Harvey at 11:45 UTC and 21:25 UTC on the 27th of August nearly two days after the storm made landfall as it was meandering slowly southeast at just 2 mph (~4 kph) near Victoria, Texas west of Houston. The image shows rain rates derived from GPM's GMI microwave imager (outer swath) and dual-frequency precipitation radar or DPR (inner swath) overlaid on enhanced visible/infrared data from the GOES-East satellite. Harvey's cyclonic circulation is...
Harvey Hits Texas, Unleashes Major Flooding
Despite its earlier demise, after rejuvinating over the warm waters of the Gulf of Mexico, Hurricane Harvey has become a major weather maker as it unleashes historical flooding over parts of coastal Texas. Harvey began on the 17th of August as a weak tropical storm about 250 miles (~400 km) east of Barbados in the Leeward Islands. Over the next two days, Harvey continued moving steadily westward passing through the Leeward Islands as a still weak tropical storm and entered into the east central Caribbean. On the 19th, Harvey succumbed to the effects of northeasterly wind shear over the central...
A New Multi-dimensional View of a Hurricane
Download in high resolution from the NASA Goddard Scientific Visualization Studio NASA researchers now can use a combination of satellite observations to re-create multi-dimensional pictures of hurricanes and other major storms in order to study complex atmospheric interactions. In this video, they applied those techniques to Hurricane Matthew. When it occurred in the fall of 2016, Matthew was the first Category 5 Atlantic hurricane in almost ten years. Its torrential rains and winds caused significant damage and loss of life as it coursed through the Caribbean and up along the southern U.S...
Another Pineapple Express Brings More Rain, Flooding to California
The West Coast is once again feeling the effects of the "Pineapple Express". Back in early January one of these "atmospheric river" events, which taps into tropical moisture from as far away as the Hawaiian Islands, brought heavy rains from Washington and Oregon all the way down to southern California. This second time around, many of those same areas were hit again. The current rains are a result of 3 separate surges of moisture impacting the the West Coast. The first such surge in this current event began impacting the Pacific coastal regions of Washington, Oregon, and northern California on...
GPM Provides a Closer Look at the Louisiana Floods
Twice on August 12, 2016 GPM flew over a massive rainstorm that flooded large portions of Louisiana. The flooding was some of the worst ever in the state, resulting in a state of emergency. Tens of thousands of people were evacuated from their homes in the wake of this unprecedented event. Throughout the course of August 12 (UTC) GPM captured the internal structure of the storm twice and GPM IMERG measured the rainfall accumulation on the ground. NASA's GPM satellite is designed to measure rainfall using both passive microwave (GMI) and radar (DPR) instruments. DPR can observe 3D structures of...
http://earthobservatory.nasa.gov/IOTD/view.php?id=88319
As farmers in Nepal prepare for the benefits of monsoon season, Dalia Kirschbaum anticipates the dangers of those torrential rains—mainly, the loosening of earth on steep slopes that can lead to landslides. In this mountainous country, 60 to 80 percent of the annual precipitation falls during the monsoon (roughly June to August). That’s when roughly 90 percent of Nepal’s landslide fatalities also occur, according to a 2015 report from the United Nations Office for the Coordination of Humanitarian Affairs. “We know a high number of landslides occur around this time, so documenting them is...
Rainfall Floods the Mississippi River
A series of winter storms brought more than 20 inches of rainfall to the Midwest and southeastern United States in December 2015. Massive flooding followed throughout both the regions. An animation of rainfall data from those storms was created at NASA's Goddard Space Flight Center in Greenbelt, Maryland. This animation shows the accumulation of rainfall over the United Stated during December 2015, from the IMERG precipitation dataset. The black outline indicates the Mississippi-Missouri River basin. This version has been edited to only show the periods of significant rainfall during the month...
NASA Aids Response to Carolina Flooding
It was rain that wouldn't quit. A weather system fueled by warm moisture streaming in from the Atlantic Ocean on Oct. 3 and 4 relentlessly dumped between one and two feet of rain across most of South Carolina. The result was rivers topping their banks and dams bursting. Catastrophic flooding followed across most of the state, which has left residents in some areas without power or clean drinking water. Tracking and predicting the deluge, both as rain and then floodwater, are the first steps to help protect people in harm's way. State and federal emergency managers have been on the front lines...

GPM IMERG precipitation rates and totals from Tropical Cyclone Freddy, Feb. 6 - March 12, 2023. Credit: NASA 

Download in high resolution from the NASA Goddard Scientific Visualization Studio

Cameras outside the International Space Station captured dramatic views of Hurricane Zeta at 12:50 pm ET October 28, as it churned 200 miles south-southwest of New Orleans packing winds of 90 miles an hour. Credit: NASA International Space Station

GPM overpass of Tropical Storm Zeta on October 25 at approximately 2:15pm CDT (19:15 UTC). Half-hourly rainfall estimates from NASA’s multi-satellite IMERG dataset are shown in 2D on the ground, while rainfall rates from GPM’s DPR instrument are shown as a 3D point cloud, with liquid precipitation shown in green, yellow and red, and frozen precipitation shown in blue and purple. Credit: NASA Goddard Scientific Visualization Studio

View an interactive 3D visualization of this overpass in STORM Event Viewer

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

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