In this image provided by NASA’s High Resolution Coronal Imager sounding rocket, a small-scale structure on the Sun known as "moss" can be seen. Solar physicists refer to this patchy structure as moss and it appears in the lower part of the solar atmosphere around sunspot groups where magnetic activity is strong. The cooler roots of moss are shown in a detailed image from NASA’s Interface Region Imaging Spectrograph (IRIS) mission on the right. The credit for the image goes to NASA/Bose et al 2024.
In this image provided by NASA’s High Resolution Coronal Imager sounding rocket, a small-scale structure on the Sun known as "moss" can be seen. Solar physicists refer to this patchy structure as moss and it appears in the lower part of the solar atmosphere around sunspot groups where magnetic activity is strong. The cooler roots of moss are shown in a detailed image from NASA’s Interface Region Imaging Spectrograph (IRIS) mission on the right. The credit for the image goes to NASA/Bose et al 2024.

Scientists utilize supercomputer simulations to examine the heated roots of the Sun to clarify the mysteries of solar moss

Cutting-edge research and supercomputer simulations reveal the mechanisms behind the heating of the enigmatic "moss" on the Sun's surface, providing new insights into the awe-inspiring power of our star.

In a groundbreaking scientific discovery, NASA scientists have made significant strides in unraveling the perplexing enigma of the Sun's "moss." This moss-like structure, a small-scale, patchy plasma formation in the solar atmosphere that shares an uncanny resemblance to earthly plants, has puzzled researchers for decades. However, thanks to the recent breakthrough enabled by NASA's High-Resolution Coronal Imager (Hi-C) sounding rocket and the Interface Region Imaging Spectrograph (IRIS) mission, combined with complex 3D supercomputer simulations, the mystifying puzzle is beginning to come together.

Named after its moss-like appearance, the region emerged into scientific consciousness back in 1999 through NASA's TRACE mission. Nestled within the center of a sunspot group and concealed beneath gossamer-like coronal loops, the moss straddles two atmospheric layers known as the chromosphere and corona, with engineers and scientists working tirelessly to unravel its secrets.

In the quest to understand the mechanism responsible for heating the moss, researchers have long been confounded by the extreme temperature disparity within this fascinating solar feature. While the surface just below the moss blazes at around 10,000 degrees Fahrenheit, the moss itself reaches blistering temperatures of nearly 1 million degrees Fahrenheit, defying conventional wisdom. Finally, through a combination of advanced observations and intricate 3D simulations, a remarkable discovery has been made.

The key insight derived from this comprehensive approach is the role of electrical currents. Within the moss region, an intricate web of magnetic field lines intertwines, akin to invisible spaghetti, generating electrical currents that contribute to heating the plasma. While the underlying mechanism responsible for this local heating is still not fully understood, this breakthrough represents a significant leap towards unraveling the broader question of why the Sun's corona is exponentially hotter than its surface.

"The convergence of high-resolution observations and advanced numerical simulations has allowed us to shed light on this 25-year-old mystery," shared Souvik Bose, a research scientist at Lockheed Martin Solar and Astrophysics Laboratory and Bay Area Environmental Institute, NASA's Ames Research Center. "But it is essential to note that this milestone only forms a fraction of the puzzle; the path ahead still holds numerous unanswered questions."

This groundbreaking discovery opens new avenues for further research and marks an inspiring turning point. The scientific community now stands poised to delve deeper into the secrets of our Sun, armed with an invigorated determination to unravel the mechanisms that govern its immense heat and energy.

However, this is just the beginning of an exciting journey. The quest to fully comprehend the interplay between the corona and the moss will require more observations and continued technological advancements. NASA's High-Resolution Coronal Imager (Hi-C) is set to launch again this month, adding another layer of understanding as it captures a solar flare and potentially additional moss regions in conjunction with the IRIS mission.

MUSE (MUlti-slit Solar Explorer), a promising future mission, is also on the horizon, with scientists and engineers working tirelessly to develop new instruments that will unlock even deeper insights into the enigmatic phenomena occurring on our Sun's surface.

The meticulous observations and cutting-edge supercomputer simulations offer not only a glimpse into the secrets of the Sun but also serve as a testament to the remarkable potential of human ingenuity. As we venture further into the exploration of space, these breakthroughs remind us that through the intertwining of diverse perspectives, innovative technologies, and unwavering curiosity, we have the power to unlock the mysteries of the universe.

Let these recent discoveries be a beacon of inspiration, underscoring the importance of investment in scientific research and space exploration. Together, we can embark on a journey to uncover the awe-inspiring intricacies of our celestial neighbor and expand our knowledge of the universe that surrounds us.

This graphic illustrates the study area location with a red dot and provides details about the simulated restorations. To simulate sediment accretion/nourishment, a vertical offset was applied to the restoration sites, bringing each site to +1m relative to mean sea level. The blue areas represent levee breaches across historical marsh channels to facilitate tidal connectivity in salt ponds. Additionally, the three shades of green, from dark to light, signify low, transition, and high marsh habitats.
This graphic illustrates the study area location with a red dot and provides details about the simulated restorations. To simulate sediment accretion/nourishment, a vertical offset was applied to the restoration sites, bringing each site to +1m relative to mean sea level. The blue areas represent levee breaches across historical marsh channels to facilitate tidal connectivity in salt ponds. Additionally, the three shades of green, from dark to light, signify low, transition, and high marsh habitats.

Salt marsh restoration study reveals promising results for climate resilience

Supercomputer simulations demonstrate the transformative power of salt marsh restoration in mitigating flood risk and building climate resilience in the San Francisco Bay.

In the face of climate change and the escalating threats of sea level rise and storm-driven flooding, UC Santa Cruz researchers have made a groundbreaking discovery. Through the use of advanced supercomputer simulations, they have uncovered the immense potential of salt marsh restoration as a critical tool in reducing flood risk and bolstering community resilience in our local waterways.

The study delves into the social, economic, and ecological benefits of marsh restoration. The research team, led by a postdoctoral fellow from UC Santa Cruz's Center for Coastal Climate Resilience (CCCR), worked closely with local flood managers and planners to incorporate their expertise into the models.

Using a hydrodynamic model of San Francisco Bay, particularly focusing on San Mateo County, the most vulnerable county to future flooding in California, the team ran supercomputer simulations of the shoreline in both restored and non-restored scenarios during storms. The results were nothing short of remarkable. An aerial view of the San Mateo County coastline shows a healthy marsh in the foreground, salt ponds being considered for restoration in the middle left, the Google campus at the center, a marsh being actively restored in the back right, and the port of Redwood City.

"We have found compelling evidence that marsh restoration can reduce flood risk to people and property locally, providing both community and ecosystem co-benefits," revealed Rae Taylor-Burns, a fellow at CCCR.

"The Bay Area, being low-lying and densely populated, faces significant risk from climate change impacts. By restoring our marshes, we can not only protect ourselves but also stimulate ecological revival."

The study identified priority areas in San Mateo County where salt marsh restoration could maximize socio-economic impacts by reducing flood risk. With the help of a detailed flood model, researchers evaluated the risk of flooding with and without salt marshes and highlighted the areas where restoration interventions would make the most significant difference.

Crucially, the study also placed a monetary value on the flood risk reduction benefits, highlighting the cost-effectiveness of investing in marsh restoration. This opens doors to potential public and private funding opportunities for restoration projects.

However, the implications of wetland restoration go far beyond flood protection alone. The study underlines the multiple benefits that come with it, including carbon sequestration, habitat preservation, and recreational opportunities. It paints a compelling case for embracing nature-based solutions and adopting comprehensive climate resilience strategies that can help mitigate the impacts of future climate change.

"We must explore innovative solutions to enhance community resilience in the face of escalating climate challenges," emphasized Michael W. Beck, director of the Center for Coastal Climate Resilience and a co-author of the study. "Salt marsh restoration represents a nature-based approach that can not only complement traditional infrastructure but also safeguard our coastal communities."

The findings from this study offer hope and inspiration for coastal communities worldwide facing similar threats. By integrating salt marsh restoration into their climate resilience strategies, they can leverage funding opportunities from programs like FEMA grants or initiatives like Regional Measure AA, which provides significant financial support for marsh restoration throughout San Francisco Bay.

We must recognize the critical role of our coastal wetlands as national infrastructure. The Center for Coastal Climate Resilience's work extends beyond California, providing support for coral reefs in regions such as Guam, Hawai'i, Puerto Rico, and the U.S. Virgin Islands. By elevating the importance of coastal wetlands, we can ensure their protection and preservation, not just for ourselves but also for future generations.

As we navigate the challenges of climate change, let us embrace the power of scientific advancements, such as supercomputer simulations, to guide us toward sustainable solutions. By restoring salt marshes, we have a tangible opportunity to safeguard our communities, foster ecological rejuvenation, and forge a resilient future amidst the changing tides.

In the words of Michael W. Beck, "Nature beckons us to adapt and thrive. Let us heed its call and embark on a journey towards a safer and more resilient tomorrow." This graphic shows marsh restoration's economic and social flood reduction benefits with sea level rise. Green signifies positive present value and people protected, while orange represents the negative present value and increased risk.

Marbell leads Woolpert's geospatial business development strategy

Woolpert, a national architecture, engineering, and geospatial firm, has hired accomplished business development leader William Marbell as Geospatial Program Director. In his new role, Marbell will lead Woolpert's geospatial business strategy and expansion in Africa, Latin America, and the Caribbean. William Marbell

Marbell brings over two decades of experience in geospatial technology and business development to Woolpert. He has worked with Fortune 500 companies, United States government agencies, and international organizations across the globe. Previously, Marbell served as a senior executive in geospatial technology companies, where he led business development in various regions.

According to Jeff Lovin, Senior Vice President and Director of Woolpert's Geospatial Division, Marbell's expertise in geospatial technologies and his extensive experience in business development and team management will be a valuable asset to Woolpert.

Marbell is excited to join Woolpert and lead its geospatial business strategy. He believes that his experience will help the company to expand its client base and grow its services in the African, Latin American, and Caribbean regions.

Woolpert's President and CEO, Scott Cattran, stated that the firm is thrilled to have Marbell on board. Cattran expressed confidence that Marbell's leadership will help the company achieve its vision of becoming a premier international design, geospatial, and infrastructure firm.

Marbell holds a Bachelor's degree in Geography and a Master's degree in Geographic Information Science from the University of Illinois. He has also completed executive education programs at Harvard Business School and the University of Michigan.

Stars can have numerous spots spread throughout their surface, causing irregular fluctuations in brightness that make it difficult to identify periodic signals of dimming due to the star's rotation. The graph generated by the Butterpy program demonstrates how the observed brightness of a simulated star changes over a single rotation period. NASA's Roman Space Telescope will measure the light curves and therefore rotation rates of hundreds of thousands of stars, providing new insights into the stellar populations in our galaxy. Credit: NASA, Ralf Crawford (STScI)
Stars can have numerous spots spread throughout their surface, causing irregular fluctuations in brightness that make it difficult to identify periodic signals of dimming due to the star's rotation. The graph generated by the Butterpy program demonstrates how the observed brightness of a simulated star changes over a single rotation period. NASA's Roman Space Telescope will measure the light curves and therefore rotation rates of hundreds of thousands of stars, providing new insights into the stellar populations in our galaxy. Credit: NASA, Ralf Crawford (STScI)

NASA's Roman Telescope uses Convolutional Neural Networks to determine star age

Determining the age of stars has been a challenging task for astronomers for a long time. But thanks to NASA's Nancy Grace Roman Space Telescope and convolutional neural networks (CNNs), a breakthrough is on the horizon. This revolutionary approach holds the promise to unlock new insights into the age and evolution of stars, offering a deeper understanding of our Milky Way galaxy.

Unlike humans guessing ages at carnivals, determining the actual age of a star is quite difficult. Once a star like our Sun reaches the mature phase of its life and begins steady nuclear fusion, it changes imperceptibly over billions of years. However, the rotation period of a star is the key to unraveling the cosmic mysteries surrounding stellar populations, which change over time. By precisely measuring the rotation periods of hundreds of thousands of stars, NASA's Roman Space Telescope aims to discover groundbreaking findings after its launch in May 2027.

Stars are born spinning rapidly, and over billions of years, stars with a mass similar to or smaller than that of our Sun gradually slow down. This deceleration is caused by interactions between the stellar wind, a stream of charged particles, and the star's magnetic field. The resulting interactions remove angular momentum, causing the star to spin more slowly, much like an ice skater slowing down when extending their arms.

This phenomenon, known as magnetic braking, is influenced by the strength of the star's magnetic field. Stars with stronger magnetic fields, which usually spin faster, experience a more rapid slowdown. After approximately one billion years, stars with the same mass and age will rotate at the same rate. Thus, by knowing a star's mass and rotation rate, astronomers can estimate its age, enabling an in-depth study of galactic formation and evolution over time.

The challenge lies in measuring the rotation rate of distant stars. To overcome this hurdle, astronomers search for changes in a star's brightness caused by starspots. Starspots are cooler, darker patches on a star's surface, similar to sunspots on our Sun. Detecting periodic dimming and brightening as starspots rotate in and out of view allows for the determination of rotation periods, although complications arise when multiple spots are scattered across a star's surface. This is an image of the Sun captured by NASA's Solar Dynamics Observatory in August 2012. The image displays various sunspots. Just like our Sun, other stars also have starspots that cause the observed brightness to fluctuate as the spots rotate in and out of view. Astronomers can determine the rotation period of a star by measuring these brightness changes. NASA's Nancy Grace Roman Space Telescope will collect brightness measurements for numerous stars located towards the center of our Milky Way galaxy. This will provide vital information about their rotation rates. The data collected could be useful in understanding how stars and planetary systems form and evolve.

Enter convolutional neural networks, an artificial intelligence technique. A team of astronomers at the University of Florida, supported by NASA's Nancy Grace Roman Space Telescope project, is pioneering techniques to extract rotation periods from a star's brightness measurements over time. They train a convolutional neural network on simulated light curves, which are plots of a star's brightness over time.

Led by University of Florida postdoctoral associate Zachary Claytor, the team developed a program called "Butterpy" that generates simulated light curves based on various variables such as rotation rate, spot numbers, and spot lifetimes. Using the trained neural network, the team successfully analyzed data from NASA's TESS (Transiting Exoplanet Survey Satellite), accurately measuring longer stellar rotation periods that may pose challenges due to systematic effects.

The upcoming Roman Space Telescope will further amplify these efforts. Through its Galactic Bulge Time Domain Survey, which forms one of its core community surveys, Roman will collect data from hundreds of millions of stars, primarily focusing on the crowded region near our galaxy's center. This wealth of information will enable investigations ranging from the search for distant exoplanets to the determination of rotation rates of stars within our galaxy.

The implications of this research extend beyond the frontiers of astronomy. The use of convolutional neural networks showcases the power of artificial intelligence in addressing complex scientific challenges. By harnessing AI, the University of Florida team, in collaboration with NASA, demonstrates the possibilities of interdisciplinary approaches and technological innovation.

The Nancy Grace Roman Space Telescope, managed at NASA's Goddard Space Flight Center, involves participation from NASA's Jet Propulsion Laboratory, Caltech/IPAC, the Space Telescope Science Institute, and scientists from various research institutions. Industrial partners include BAE Systems, Inc., L3Harris Technologies, and Teledyne Scientific & Imaging.

As humanity ventures deeper into the cosmos, the synergy between technology and diverse perspectives brings us closer to unraveling the secrets of the universe. The combination of NASA's Roman Telescope and convolutional neural networks marks a remarkable milestone, fueling hopes for profound discoveries that will reshape our understanding of the age and evolution of stars, as well as the grand tapestry of the cosmos.

Australia on track for unprecedented, decades-long megadroughts: Supercomputer modeling raises concern

The Australian National University (ANU) and the ARC Centre of Excellence for Climate Extremes have conducted new modeling that predicts a concerning future for Australia. The research suggests that the country could soon face megadroughts that last for more than 20 years, surpassing anything in recent history. This finding highlights the need to consider the potential impacts of climate change on drought severity. Scientists are utilizing advanced supercomputer modeling techniques and analyzing diverse perspectives to unveil the harsh reality of Australia's future water scarcity.

The researchers' modeling provides insight into the future of Australia's drought patterns. They discovered that 20th-century droughts in southwestern and eastern Australia, including the vital Murray-Darling Basin, were already longer on average compared to pre-industrial times. However, when factoring in the potential impact of climate change, the situation becomes even more daunting. Current droughts occurring against the backdrop of hotter weather due to climate change could result in droughts far more severe than anything previously experienced.

The researchers define megadroughts as exceptionally severe, long-lasting, and widespread. They can endure for multiple decades or even centuries. An example of this phenomenon is the megadrought that has plagued the southwestern region of the United States since 2000, continuing for over two decades. Dr. Georgy Falster, co-lead author of the study from the ANU Research School of Earth Sciences, emphasizes the potential consequences of a megadrought in Australia today, emphasizing the compounding effect of climate change on an already dire situation.

Given the gravity of these findings, stakeholders from both scientific and political spheres must come together to prepare for a future fraught with prolonged drought conditions. Dr. Falster stresses the need to acknowledge the limited number of examples from the 1900s onwards, as they do not fully represent the worst-case scenarios driven purely by natural climate variations. He suggests preparing for the possibility of a 20-year-long drought occurring in the Murray-Darling Basin every 150 to 1,000 years.

The ANU-led team took into account a diverse range of factors when examining the future of drought in Australia. By using multiple climate models to simulate droughts spanning over a millennium, from the year 850 to 2000, they sought to determine how these patterns might change in the future. This comprehensive approach allowed them to predict both the duration and intensity of future droughts. Consequently, they found that droughts in Australia could potentially far surpass anything experienced in recent times.

Professor Nerilie Abram, a co-author of the study from ANU, highlights the contribution of human-caused climate change to the lengthening of droughts in southwestern and eastern Australia, including the Murray-Darling Basin. These are the very regions that will likely experience future rainfall declines due to climate change, further intensifying the risk of prolonged droughts. She also points to climate change exacerbating conditions such as the exceptionally intense, three-year-long "Tinderbox Drought," which facilitated the devastating Black Summer bushfires.

The severity and duration of future droughts can be mitigated by rapidly reducing greenhouse gas emissions and transitioning to renewable energy sources. While human-caused climate change has undoubtedly worsened the prospects of drought in Australia, proactive measures such as water storage and management plans and community support networks can significantly minimize the impacts of future droughts. The study's publication further stresses the urgency of implementing these measures.

Australia faces a future with ever-increasing drought severity. The time to address these chilling predictions is now, as the country stands at the precipice of unprecedented, decades-long megadroughts that could have severe consequences for its ecosystems, agriculture, and water security. The study underlines the need for immediate action to reduce greenhouse gas emissions, prepare for prolonged drought periods, and protect communities and ecosystems from the devastating impacts of water scarcity.