NASA 3D Wind Measuring Laser Aims to Improve Forecasts from Air, Space

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Since last fall, NASA scientists have flown an advanced 3D Doppler wind lidar instrument across the United States to collect nearly 100 hours of data — including a flight through a hurricane. The goal? To demonstrate the unique capability of the Aerosol Wind Profiler (AWP) instrument to gather extremely precise measurements of wind direction, wind speed, and aerosol concentration – all crucial elements for accurate weather forecasting.Weather phenomena like severe thunderstorms and hurricanes develop rapidly, so improving predictions requires more accurate wind observations.
“There is a lack of global wind measurements above Earth’s surface,” explained Kris Bedka, the AWP principal investigator at NASA’s Langley Research Center in Hampton, Virginia. “Winds are measured by commercial aircraft as they fly to their destinations and by weather balloons launched up to twice per day from just 1,300 sites across the globe. From space, winds are estimated by tracking cloud and water vapor movement from satellite images.”
However, in areas without clouds or where water vapor patterns cannot be easily tracked, there are typically no reliable wind measurements. The AWP instrument seeks to fill these gaps with detailed 3D wind profiles.

Mounted to an aircraft with viewing ports underneath it, AWP emits 200 laser energy pulses per second that scatter and reflect off aerosol particles — such as pollution, dust, smoke, sea salt, and clouds — in the air. Aerosol and cloud particle movement causes the laser pulse wavelength to change, a concept known as the Doppler effect.
The AWP instrument sends these pulses in two directions, oriented 90 degrees apart from each other. Combined, they create a 3D profile of wind vectors, representing both wind speed and direction.

Kris bedka
NASA Research Physical Scientist

“The Aerosol Wind Profiler is able to measure wind speed and direction, but not just at one given point,” Bedka said. “Instead, we are measuring winds at different altitudes in the atmosphere simultaneously with extremely high detail and accuracy.”
Vectors help researchers and meteorologists understand the weather, so AWP’s measurements could significantly advance weather modeling and forecasting. For this reason, the instrument was chosen to be part of the National Oceanic and Atmospheric Administration’s (NOAA) Joint Venture Program, which seeks data from new technologies that can fill gaps in current weather forecasting systems. NASA’s Weather Program also saw mutual benefit in NOAA’s investments and provided additional support to increase the return on investment for both agencies.
On board NASA’s Gulfstream III (G-III) aircraft, AWP was paired with the agency’s High-Altitude Lidar Observatory (HALO) that measures water vapor, aerosols, and cloud properties through a combined differential absorption and high spectral resolution lidar.
Working together for the first time, AWP measured winds, HALO collected water vapor and aerosol data, and NOAA dropsondes (small instruments dropped from a tube in the bottom of the aircraft) gathered temperature, water vapor, and wind data.

“With our instrument package on board small, affordable-to-operate aircraft, we have a very powerful capability,” said Bedka. “The combination of AWP and HALO is NASA’s next-generation airborne weather remote sensing package, which we hope to also fly aboard satellites to benefit everyone across the globe.”

kris bedka
NASA Research Physical Scientist

The animation below, based on AWP data, shows the complexity and structure of aerosol layers present in the atmosphere. Current prediction models do not accurately simulate how aerosols are organized throughout the breadth of the atmosphere, said Bedka.

“When we took off on this particular day, I thought that we would be finding a clear atmosphere with little to no aerosol return because we were flying into what was the first real blast of cool Canadian air of the fall,” described Bedka. “What we found was quite the opposite: an aerosol-rich environment which provided excellent signal to accurately measure winds.” 
During the Joint Venture flights, Hurricane Helene was making landfall in Florida. The AWP crew of two pilots and five science team members quickly created a flight plan to gather wind measurements along the outer bands of the severe storm.

“A 3D wind profile can significantly improve weather forecasts, particularly for storms and hurricanes,” said Harshesh Patel, NOAA’s acting Joint Venture Program manager. “NASA Langley specializes in the development of coherent Doppler wind lidar technology and this AWP concept has potential to provide better performance for NOAA’s needs.”

The flights of the AWP lidar are serving as a proving ground for possible integration into a future satellite mission.
“The need to improve global 3D wind models requires a space-based platform,” added Patel. “Instruments like AWP have specific space-based applications that potentially align with NOAA’s mission to provide critical data for improving weather forecasting.”

After the NOAA flights, AWP and HALO were sent to central California for the Westcoast & Heartland Hyperspectral Microwave Sensor Intensive Experiment  and the Active Passive profiling Experiment, which was supported by NASA’s Planetary Boundary Layer Decadal Survey Incubation Program and NASA Weather Programs. These missions studied atmospheric processes within the planetary boundary layer, the lowest part of the atmosphere, that drives the weather conditions we experience on the ground. 

To learn more about lidar instruments at NASA visit:
NASA Langley Research Center: Generations of Lidar Expertise Läs mer…

NASA Tracks Snowmelt to Improve Water Management

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As part of a science mission tracking one of Earth’s most precious resources – water – NASA’s C-20A aircraft conducted a series of seven research flights in March that can help researchers track the process and timeline as snow melts and transforms into a freshwater resource. The agency’s Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) installed on the aircraft collected measurements of seasonal snow cover and estimate the freshwater contained in it.
“Seasonal snow is a critical resource for drinking water, power generation, supporting multi-billion dollar agricultural and recreation industries,” said Starr Ginn, C-20A project manager at NASA’s Armstrong Flight Research Center in Edwards, California.  “Consequently, understanding the distribution of seasonal snow storage and subsequent runoff is essential.”
The Dense UAVSAR Snow Time (DUST) mission mapped snow accumulation over the Sierra Nevada mountains in California and the Rocky Mountains in Idaho. Mission scientists can use these observations to estimate the amount of water stored in that snow.

“Until recently, defining the best method for accurately measuring snow water equivalent (SWE) – or how much and when fresh water is converted from snow – has been a challenge,” said Shadi Oveisgharan, principal investigator of DUST and scientist at NASA’s Jet Propulsion Laboratory in Southern California. “The UAVSAR has been shown to be a good instrument to retrieve SWE data.”
Recent research has shown that snow properties, weather patterns, and seasonal conditions in the American West have been shifting in recent decades. These changes have fundamentally altered previous expectations about snowpack monitoring and forecasts of snow runoff. The DUST mission aims to better track and understand those changes to develop more accurate estimates of snow-to-water conversions and their timelines.
“We are trying to find the optimum window during which to retrieve snow data,” Oveisgharan said. “This estimation will help us better estimate available fresh snow and manage our reservoirs better.”

The DUST mission achieved a new level of snow data accuracy, which is partly due to the specialized flight paths flown by the C-20A. The aircraft’s Platform Precision Autopilot (PPA) enables the team to fly very specific routes at exact altitudes, speeds, and angles so the UAVSAR can more precisely measure terrain changes.
“Imagine the rows made on grass by a lawn mower,” said Joe Piotrowski Jr., operations engineer for NASA Armstrong’s airborne science program. “The PPA system enables the C-20A to make those paths while measuring terrain changes down to the diameter of a centimeter.” Läs mer…

NASA Airborne Sensor’s Wildfire Data Helps Firefighters Take Action

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Data from the AVIRIS-3 sensor was recently used to create detailed fire maps in minutes, enabling firefighters in Alabama to limit the spread of wildfires and save buildings.

A NASA sensor recently brought a new approach to battling wildfire, providing real-time data that helped firefighters in the field contain a blaze in Alabama. Called AVIRIS-3, which is short for Airborne Visible Infrared Imaging Spectrometer 3, the instrument detected a 120-acre fire on March 19 that had not yet been reported to officials.

As AVIRIS-3 flew aboard a King Air B200 research plane over the fire about 3 miles (5 kilometers) east of Castleberry, Alabama, a scientist on the plane analyzed the data in real time and identified where the blaze was burning most intensely. The information was then sent via satellite internet to fire officials and researchers on the ground, who distributed images showing the fire’s perimeter to firefighters’ phones in the field.

All told, the process from detection during the flyover to alert on handheld devices took a few minutes. In addition to pinpointing the location and extent of the fire, the data showed firefighters its perimeter, helping them gauge whether it was likely to spread and decide where to add personnel and equipment.

“This is very agile science,” said Robert Green, the AVIRIS program’s principal investigator and a senior research scientist at NASA’s Jet Propulsion Laboratory in Southern California, noting AVIRIS-3 mapped the burn scar left near JPL by the Eaton Fire in January.

Observing the ground from about 9,000 feet (3,000 meters) in altitude, AVIRIS-3 flew aboard several test flights over Alabama, Mississippi, Florida, and Texas for a NASA 2025 FireSense Airborne Campaign. Researchers flew in the second half of March to prepare for prescribed burn experiments that took place in the Geneva State Forest in Alabama on March 28 and at Fort Stewart-Hunter Army Airfield in Georgia from April 14 to 20. During the March span, the AVIRIS-3 team mapped at least 13 wildfires and prescribed burns, as well as dozens of small hot spots (places where heat is especially intense) — all in real time.

Data from imaging spectrometers like AVIRIS-3 typically takes days or weeks to be processed into highly detailed, multilayer image products used for research. By simplifying the calibration algorithms, researchers were able to process data on a computer aboard the plane in a fraction of the time it otherwise would have taken. Airborne satellite internet connectivity enabled the images to be distributed almost immediately, while the plane was still in flight, rather than after it landed.

The AVIRIS team generated its first real-time products during a February campaign covering parts of Panama and Costa Rica, and they have continued to improve the process, automating the mapping steps aboard the plane.

‘Fan Favorite’

The AVIRIS-3 sensor belongs to a line of imaging spectrometers built at JPL since 1986. The instruments have been used to study a wide range of phenomena — including fire — by measuring sunlight reflecting from the planet’s surface.

During the March flights, researchers created three types of maps. One, called the Fire Quicklook, combines brightness measurements at three wavelengths of infrared light, which is invisible to the human eye, to identify the relative intensity of burning. Orange and red areas on the Fire Quicklook map show cooler-burning areas, while yellow indicates the most intense flames. Previously burned areas show up as dark red or brown.

Another map type, the Fire 2400 nm Quicklook, looks solely at infrared light at a wavelength of 2,400 nanometers. The images are particularly useful for seeing hot spots and the perimeters of fires, which show brightly against a red background.

A third type of map, called just Quicklook, shows burned areas and smoke.

The Fire 2400 nm Quicklook was the “fan favorite” among the fire crews, said Ethan Barrett, fire analyst for the Forest Protection Division of the Alabama Forestry Commission. Seeing the outline of a wildfire from above helped Alabama Forestry Commission firefighters determine where to send bulldozers to stop the spread. 

Additionally, FireSense personnel analyzed the AVIRIS-3 imagery to create digitized perimeters of the fires. This provided firefighters fast, comprehensive intelligence of the situation on the ground.

That’s what happened with the Castleberry Fire. Having a clear picture of where it was burning most intensely enabled firefighters to focus on where they could make a difference — on the northeastern edge. 

Then, two days after identifying Castleberry Fire hot spots, the sensor spotted a fire about 4 miles (2.5 kilometers) southwest of Perdido, Alabama. As forestry officials worked to prevent flames from reaching six nearby buildings, they noticed that the fire’s main hot spot was inside the perimeter and contained. With that intelligence, they decided to shift some resources to fires 25 miles (40 kilometers) away near Mount Vernon, Alabama.

To combat one of the Mount Vernon fires, crews used AVIRIS-3 maps to determine where to establish fire breaks beyond the northwestern end of the fire. They ultimately cut the blaze off within about 100 feet (30 meters) of four buildings. 

“Fire moves a lot faster than a bulldozer, so we have to try to get around it before it overtakes us. These maps show us the hot spots,” Barrett said. “When I get out of the truck, I can say, ‘OK, here’s the perimeter.’ That puts me light-years ahead.”

AVIRIS and the Firesense Airborne Campaign are part of NASA’s work to leverage its expertise to combat wildfires using solutions including airborne technologies. The agency also recently demonstrated a prototype from its Advanced Capabilities for Emergency Response Operations project that will provide reliable airspace management for drones and other aircraft operating in the air above wildfires.

News Media Contacts

Andrew Wang / Jane J. LeeJet Propulsion Laboratory, Pasadena, Calif.626-379-6874 / 818-354-0307andrew.wang@jpl.nasa.gov / jane.j.lee@jpl.nasa.gov

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Testing in the Clouds: NASA Flies to Improve Satellite Data

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In February, NASA’s ER-2 science aircraft flew instruments designed to improve satellite data products and Earth science observations. From data collection to processing, satellite systems continue to advance, and NASA is exploring how instruments analyzing clouds can improve data measurement methods.
Researchers participating in the Goddard Space Flight Center Lidar Observation and Validation Experiment (GLOVE) used the ER-2 – based at NASA’s Armstrong Flight Research Center in Edwards, California – to validate satellite data about cloud and airborne particles in the Earth’s atmosphere. Scientists are using GLOVE instruments installed onboard the aircraft to measure and validate data about clouds generated by satellite sensors already orbiting in space around Earth.
“The GLOVE data will allow us to test new artificial intelligence algorithms in data processing,” said John Yorks, principal investigator for GLOVE and research physical scientist at NASA’s Goddard Space Flight Center in Greenbelt, Maryland. “These algorithms aim to improve the cloud and aerosol detection in data produced by the satellites.”

The validation provided by GLOVE is crucial because it ensures the accuracy and reliability of satellite data. “The instruments on the plane provide a higher resolution measurement ‘truth’ to ensure the data is a true representation of the atmospheric scene being sampled,” Yorks said.
The ER-2 flew over various parts of Oregon, Arizona, Utah, and Nevada, as well as over the Pacific Ocean off the coast of California. These regions reflected various types of atmospheres, including cirrus clouds, marine stratocumulus, rain and snow, and areas with multiple types of clouds.
“The goal is to improve satellite data products for Earth science applications,” Yorks said. “These measurements allow scientists and decision-makers to confidently use this satellite information for applications like weather forecasting and hazard monitoring.”

The four instruments installed on the ER-2 were the Cloud Physics Lidar, the Roscoe Lidar, the enhanced Moderate Resolution Imaging Spectroradiometer Airborne Simulator, and the Cloud Radar System. These instruments validate data produced by sensors on NASA’s Ice, Cloud, and Land Elevation Satellite 2 (ICESat-2) and the Earth Cloud, Aerosol and Radiation Explorer (EarthCARE), a joint venture between the ESA (European Space Agency) and JAXA (Japan Aerospace Exploration Agency).
“Additionally, the EarthCARE satellite is flying the first ever Doppler radar for measurements of air motions within clouds,” Yorks said. While the ER-2 is operated by pilots and aircrew from NASA Armstrong, these instruments are supported by scientists from NASA Goddard, NASA’s Ames Research Center in California’s Silicon Valley, and the Naval Research Laboratory office in Monterey, California, as well as by students from the University of Iowa in Iowa City and the University of Maryland College Park. Läs mer…