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GPM Applications: Weather

Using GPM Data for Weather, Climate, and Land Surface Modeling

Friday, February 8, 2019

Using GPM Data for Weather, Climate, and Land Surface Modeling

Variations in rain, snow, and other forms of precipitation are an integral part in everyday weather and long term climate trends. Initialization of short-term weather and long-term climate models with accurate precipitation information enhances their prediction skills and extends their skillful lead times. To get the resolution and temporal coverage to measure precipitation across the globe, we often rely on satellite information. Satellite data can play a fundamental role in our ability to monitor and predict weather systems as well as to forecast future changes to our climate and land surface. Satellite data from GPM’s suite of precipitation products are integrated into numerical weather prediction models that are operated by operational partners to provide and improve the observations from which the forecasts are then generated. Similarly, climate and land surface models use satellite precipitation observations from GPM to describe the conditions that exist today in order to project how conditions may change in the future. The Weather, Climate, and Land Surface Modeling applications area promotes the use of GPM data to help monitor existing weather activity and model future behavior of precipitation patterns and climate.

Overview

Variations in rain, snow, and other forms of precipitation are an integral part in everyday weather and long term climate trends. Initialization of short-term weather and long-term climate models with accurate precipitation information enhances their prediction skills and extends their skillful lead times. To get the resolution and temporal coverage to measure precipitation across the globe, we often rely on satellite information. Satellite data can play a fundamental role in our ability to monitor and predict weather systems as well as to forecast future changes to our climate and land surface. Satellite data from GPM’s suite of precipitation products are integrated into numerical weather prediction models that are operated by operational partners to provide and improve the observations from which the forecasts are then generated. Similarly, climate and land surface models use satellite precipitation observations from GPM to describe the conditions that exist today in order to project how conditions may change in the future. The Weather, Climate, and Land Surface Modeling applications area promotes the use of GPM data to help monitor existing weather activity and model future behavior of precipitation patterns and climate.

Sections

GPM Data for Decision Making

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NOAA Precipitation Forecast Example

NOAA’s Climate Prediction Center (CPC) issues extended range outlook maps for 6-10 days in the future. The above figure shows a 6-10 forecast of precipitation probability for the first week of October 2018. This product complements short-range weather forecasts issued by other components of the National Weather Service. Credit: NOAA/NCEP/CPC
 

Numerical weather prediction (NWP) is the use of computer models to predict upcoming weather. Specifically, NWP centers rely on microwave-based satellite rainfall information, such as data retrieved from GPM’s GMI, to improve short- to long-term weather forecasts and correct track forecasts for tropical cyclones. In addition, NWP centers create precipitation products for “nowcasting” weather in the immediate 1-5 hours (e.g. using near-real-time rainfall data from GPM) to meet the needs of a wider user community, including weather forecasters, hydrologists, farmers, numerical modelers, the military and the climate community. Methods for integrating rainfall data are constantly evolving and advancing, and with GPM’s advanced instruments, scientists can influence and enhance their scientific research and benefit socioeconomic activities.

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ECMWF Seasonal Forecast of Precipitation Probability

European Centre for Medium-Range Weather Forecast (ECMWF) Seasonal Forecast of precipitation probability. Percent probability is determined by using the predictive anomaly relative to 24 years of observed precipitation from 1993-2016. Credit: European Centre for Medium-Range Weather Forecast
 

To understand the changing climate and make future climate predictions, scientists need to use sophisticated computer models to recreate Earth’s climate conditions. Understanding current rainfall and snowfall variability, among other climate factors on regional and global scales, helps scientists model future behavior of precipitation patterns and climate. But for a system as complicated as the Earth, the models are only as good as the data provided. Satellite precipitation measurements from GPM and its predecessor TRMM provide global scale observational data sets that are comprehensive and consistent over long time periods, two characteristics scientists need to understand the relationships between different parts of the climate system. Specifically, organizations use GPM and TRMM data as input to verify and validate their seasonal and climate model simulations. The ultimate goal is to be able to predict changes in climate on time scales as short as the next hurricane season and as far into the future as changes that may occur in the coming decades or centuries. 

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Snowpack in the Absaroka Range

Climate change may lead to an increase in temperatures and a decrease in snowpack within the Absaroka Range, found at the eastern edge of Yellowstone National Park. Credit: National Park Service/Neal Herbert
 

Precipitation is the fundamental driver of land surface hydrological processes and a key component of the terrestrial water cycle, which in turn affects the functioning of atmospheric and climate processes. High-resolution modeling of land surface hydrological processes requires detailed rainfall estimates as inputs to improve understanding of the state of the water cycle and impacts on land-surface processes during extreme events. Satellite precipitation data from GPM is integrated into land surface models to study surface features and how they change due to manmade and natural conditions such as urbanization and erosion. The use of GPM precipitation data together with other satellite data including soil moisture within land surface models will improve weather and hydrological prediction, which will help city planners and even decision makers save lives. 

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2002

Tropical Cyclone 02S Formation Observed By GPM

Tropical Cyclone 02S Formation Observed By GPM
Australia is normally affected by 11 cyclones a year but only three formed during Australia's last summer. This year sea surface temperatures in the tropical waters around Australia are much warmer so an average tropical cyclone is forecast by the Bureau of Meteorology (BOM). Tropical cyclone 02S formed in the Indian Ocean northwest of Australia yesterday. Another tropical cyclone is also expected to form soon in an area of intense convection west-northwest of Darwin, Australia. The GPM core observatory satellite flew above tropical cyclone 02S just a few hours after it's formation on December

GPM Sees Tropical Cyclone Vardah (05B) Intensifying

GPM Sees Tropical Cyclone Vardah (05B) Intensifying
The GPM core observatory satellite had another excellent view of tropical cyclone Vardah (05B) in the eastern Bay of Bengal on December 8, 2016 at 0301 UTC. GPM found that Vardah had become better organized since it formed on December 7, 2016. Maximum sustained winds had increased to an estimated 45 kts (~52 mph). GPM's Microwave Imager (GMI) showed that two intense feeder bands were bringing moisture from the Andaman Sea into the northeastern side of the tropical cyclone. GPM's Dual-Frequency Precipitation Radar (DPR) coverage is shown in a slightly lighter shade through the center of the

Forming Tropical Cyclone Examined By GPM

Forming Tropical Cyclone Examined By GPM
A tropical cyclone (TC05b) formed on December 7, 2016 in the eastern Bay Of Bengal. The Joint Typhoon Warning Center (JTWC) issued it's first advisory when TC05B was located just west of the Andaman and Nicobar Islands with winds of 35kts (~40 mph). On December 6, 2016 at 1441 UTC the GPM core observatory satellite passed over the forming tropical cyclone. This image shows a rainfall analysis that was derived from GPM's Microwave Imager (GMI) and Dual-Frequency Precipitation Radar (DPR) data. GPM's radar (DPR Ku band) showed that the forming tropical cyclone had two bands of convective storms

GPM Measures The Altitudes of Hawaii's Rain And Snow

GPM Measures The Altitudes of Hawaii's Rain And Snow
The mountains of Mauna Kea and Mauna Loa in the Hawaiian Islands have recently received heavy snowfall. Hawaii's balmy temperatures normally reach above 80 degrees Fahrenheit (27 C) at sea level on beaches such as Oahu's Waikiki but temperatures fall below freezing at the altitudes of tall mountain peaks on the Big Island. At 13,802 feet (4.2 km) Mauna Kea is Hawaii's tallest mountain. Snowfall is frequently seen on Mauna Kea's peak. The nature of precipitation in the Hawaiian Islands was recently examined using data collected by the GPM core observatory satellite. GPM flew over the Hawaiian

GPM Sees Deadly Tornadic Storms Moving Through The Southeast

GPM Sees Deadly Tornadic Storms Moving Through The Southeast
On Tuesday evening through Wednesday morning tornadoes formed along a squall line in advance of a cold front that moved through the Southeast. Over three dozen tornadoes were reported with sightings occurring in Louisiana, Alabama, Mississippi, Tennessee and Alabama. Tornadoes caused the deaths of a least five people in northern Alabama. Storms also took the the lives of two people in Tennessee. This Rainfall may provide some relief to drought ridden eastern Tennessee where destructive wildfires have been occurring. Some storms were accompanied with hail, strong winds and intense showers. Golf
A Decade of Global Precipitation

Through rain and snow, hurricane, typhoon and monsoon, flash flood and bomb cyclone, for ten years, the joint NASA-JAXA Global Precipitation Measurement mission has measured a lot of water. GPM’s Core Observatory satellite launched from Tanegashima Space Center in Japan in early 2014, becoming the first satellite to be able to see through the clouds and measure liquid and frozen precipitation from the Equator to polar regions using a radar. Now in its tenth year of operation, we look at ten events brought to light by this groundbreaking mission. Credits: NASA's Goddard Space Flight Center

NASA’s New View of the Daily Cycle of Rain

The most detailed view of our daily weather has been created using NASA's newest extended precipitation record known as the Integrated Multi-satellitE Retrievals for GPM, or IMERG analysis. The IMERG analysis combines almost 20 years of rain and snow data from the Tropical Rainfall Measuring Mission (TRMM) and the joint NASA-JAXA Global Precipitation Measurement mission (GPM). The daily cycle of weather, also known as the diurnal cycle, shapes how and when our weather develops and is fundamental to regulating our climate.

Music Credits: "Battle For Our Future" and "Wonderful Orbit" by Tom...

NASA Studies Snow At The Winter Olympics

NASA engineer Manuel Vega can see one of the Olympic ski jump towers from the rooftop of the South Korean weather office where he is stationed. Vega is not watching skiers take flight, preparing for the 2018 PyeongChang Winter Olympics and Paralympic games. Instead, he’s inspecting the SUV-sized radar beside him. The instrument is one 11 NASA instruments specially transported to the Olympics to measure the quantity and type of snow falling on the slopes, tracks and halfpipes. NASA will make these observations as one of 20 agencies from eleven countries in the Republic of Korea as participants...

A New Multi-dimensional View of a Hurricane

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. coast. 

Music: "Buoys," Donn Wilkerson, Killer Tracks; "Late Night Drive," Donn...

Getting Flake-y: Why All Snowflakes Have Six Sides
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NASA scientists can measure the size and shape distribution of snow particles, layer by layer, in a storm. The Global Precipitation Measurement mission is an international satellite project that provides next-generation observations of rain and snow worldwide every three hours.

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