SpaceX launches Space Force weather satellite designed to take over for a program with roots to the 1960s … – Spaceflight Now

The Weather System Follow-on Microwave (WSF-M) space vehicle was successfully encapsulated April 8, 2024, ahead of its scheduled launch as the U.S. Space Force (USSF)-62 mission from Vandenberg Space Force Base, Calif., marking a major milestone on its upcoming launch into low Earth orbit. Image: SpaceX

SpaceX launched a military weather satellite designed to replace aging satellites from a program dating back to the 1960s. The United States Space Force-62 (USSF-62) mission featured the launch of the first Weather System Follow-on Microwave (WSF-M) spacecraft.

Liftoff of the Falcon 9 rocket from Space Launch Complex 4 East (SLC-4E) at Vandenberg Space Force Base happened at 7:25 a.m. PDT (10:25 a.m. EDT (1425 UTC), which was the opening of a 10-minute launch window.

The booster supporting this National Security Space Launch (NSSL) mission, B1082 in the SpaceX fleet, made its third flight after previously launching the Starlink 7-9 and 7-14 missions this year.

Were absolutely thrilled be out here on the Central Coast, with a superb team primed and ready to launch the USSF-62 satellite. It has an important mission ahead of it and were excited for flight-proven Falcon 9 to deliver the satellite to orbit, said Col. Jim Horne, senior materiel leader for the Space System Commands Launch Execution Delta, in a statement. And on this mission, were using a first-stage booster whose history is purely commercial.

About eight minutes after liftoff, B1082 touched down at Landing Zone 4 (LZ-4). This was the 17th land landing in California and the 295th booster landing for SpaceX.

A significant milestone for the company on the USSF-62 mission was the use of flight-proven payload fairings, which will be a first for an NSSL mission. They previously flew on the USSF-52 mission, which featured the launch of the X-37B spaceplane from NASAs Kennedy Space Center in December 2023.

With each national security launch, we add to Americas capabilities and improve its deterrence in the face of growing threats, Horne stated.

USSF-62 was one of three missions granted to SpaceX in May 2022 as part of the NSSL Phase 2 Order Year 3 award, which collectively are valued at $309.7 million. SpaceX launched USSF-124 in February 2024 and will likely launch the SDA-Tranche 1 satellites later this year.

Ball Aerospace, the manufacturer of the WSF-M, said the spacecrafts primary payload is a passive microwave radiometer, which has been demonstrated on previous spacecraft. It also boasts a 1.8 meter antenna, which combined with the primary instrument allow the spacecraft to address so-called space-based environmental monitoring (SBEM) gaps.

Its capabilities will provide valuable information for protecting the assets of the United States and its allies, primarily in ocean settings.

The WSF-M satellite is a strategic solution tailored to address three high-priority Department of Defense SBEM gaps specifically, ocean surface vector winds, tropical cyclone intensity, and energetic charged particles in low Earth orbit, said David Betz, WSF-M program manager, SSC Space Sensing, in a statement. Beyond these primary capabilities, our instruments also provide vital data on sea ice characterization, soil moisture, and snow depth.

The spacecraft is based on the Ball Configurable Platform and includes a Global Precipitation Measurement (GPM) Microwave Imager (GMI) sensor and an Energetic Charged Particle sensor. Ball Aerospace has been involved with other, similar spacecraft, including the Suomi National Polar-orbiting Partnership (Suomi-NPP) and the Joint Polar Satellite System-1 (JPSS-1).

According to a public FY2024 Department of Defense budget document, the WSF-M system will consist of two spacecraft. Once the first is on orbit, it will assess the level of Ocean Surface Vector Wind (OSVW) measurement uncertainty and Tropical Cyclone Intensity (TCI) latency.

The first seeds of the program were planted back in October 2012 during whats called the Materiel Solution Analysis phase. That resulted in the Department of the Air Force issuing a request for proposals from companies in January 2017.

In November 2017, the Space and Missile Systems Center (now Space Systems Command) awarded a $93.7 million firm-fixed-price contract to Ball Aerospace for the WSF-M project with an expected completion date of Nov. 15, 2019.

This is an exciting win for us, and were looking forward to expanding our work with the Air Force and continuing to support warfighters and allies around the world, said Rob Strain, the then president, Ball Aerospace, in a 2017 statement. WSF-M extends Balls legacy of providing precise measurements from space to enable more accurate weather forecasting.

Roughly a year later, Ball received a $255.4 million contract modification, which provides for the exercise of an option for development and fabrication of the [WSF-M] Space Vehicle 1. This new contract also pushed out the expected completion date to Jan. 15, 2023.

In May 2020, the U.S. Space Forces SMSC noted the completion of the WSF-M systems critical design review that April, which opened the door to the beginning of fabrication.

Over the following year, the spacecraft went through a series of tests, running both the software and hardware through its paces. The primary bus structure was completed by August 2021 and by October 2022, the spacecraft entered its integration readiness review (IRR) and test readiness review (TRR).

Before that though, in May 2022, Ball was awarded a $16.6 million cost-plus-incentive-fee contract modification, which was for the exercise of an option for integration, test and operational work of the spacecraft. That brought the cumulative face value of the contract to about $417.4 million.

Shortly before the end of that year, in November 2022, Ball received a $78.3 firm-fixed-price contract modification to develop the second WSF-M spacecraft. That work is expected to be completed by Nov. 15, 2027, which would set up a launch opportunity no earlier than January 2028.

It was finally delivered from Balls facilities in Boulder, Colorado, to Vandenberg Space Force Base for pre-launch processing in February 2024.

This delivery represents a major milestone for the WSF-M program and is a critical step towards putting the first WSF-M satellite on-orbit for the warfighter, said Col. Daniel Visosky, senior materiel leader, SSCs Space Sensing Environmental and Tactical Surveillance program office, in a statement.It represents a long-term collaboration and unity-of-effort between the Space Force and our combined teams at Ball Aerospace, support contractors and government personnel.

This first WSF-M satellite, and eventually the second, will take the place of the legacy Defense Meteorological Satellite Program (DMSP) satellites, which have roots going back in the 1960s. The program features two primary satellites, which operate in sun-synchronous LEO polar orbits at about 450 nautical miles in altitude.

Originally known as the Defense Satellite Applications Program (DASP), the first of these legacy satellites launched in 1962 and they were classified under the purview of the National Reconnaissance Office (NRO) as part of the Corona Program. The DMSP was declassified in 1972 to allow data to be used by non-governmental scientists and civilians.

According to a Space Force historical accounting, a tri-agency organizational agreement was forged between the DoD, the Department of Commerce and NASA following President Bill Clintons directive for the DOC and the DoD to converge their separate polar-orbiting weather satellite programs. Funding responsibility stayed with the DoD, but by June 1998, the operational responsibility of the DMSP transferred to the Department of Commerce.

Satellite operations for the DMSP then became the responsibility of the National Oceanic and Atmospheric Administration (NOAA) Office of Satellite and Product Operations (OSPO).

The program was not without issue over the years. In 2004, the DMSP-F11 satellite, launched in 1991 and retired in 1995, disintegrated and created dozens of pieces of orbital debris. In 2015, a faulty battery was blamed for a similar disintegration of DMSP-F13, which resulted in 147 pieces of debris.

That year, Congress ordered an end to the DMSP program and the yet-to-launch F20 satellite was to be scrapped.

In February 2016, the DMSP-F19 had its planned five-year mission cut short less than two years after launch. The satellite suffered a power anomaly that caused engineers to lose control of it. The spacecraft was declared lost in March.

The DMSP-F17 satellite, launched in 2006, was then relocated to the primary position vacated by F19. According to the Observing Systems Capability Analysis and Review (OSCAR), a tool developed by the World Meteorological Organization, there are three DMSP satellites still in service: F16, F17 and F18. They launched in 2003, 2006 and 2009 respectively.

The latter two have expected end-of-life dates of 2025, with F16 intended to conclude its mission in December 2023, according to the Committee on Earth Observation Satellites (CEOS). However, that expiration has been extended as the WSF-M replacements are still on the way.

Its unclear if F17 and F18 can hang on until the second WSF-M spacecraft is completed and launched in 2028.

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SpaceX launches Space Force weather satellite designed to take over for a program with roots to the 1960s ... - Spaceflight Now

ChatGPT linked to declining academic performance and memory loss in new study – PsyPost

Students tend to turn to ChatGPT, a generative artificial intelligence tool, when faced with increased academic workload and time constraints, according to new research published in the International Journal of Educational Technology in Higher Education. The study also reveals a concerning trend: reliance on ChatGPT is linked to procrastination, memory loss, and a decline in academic performance. These findings shed light on the role of generative AI in education, suggesting both its widespread use and potential drawbacks.

The motivation behind this research stems from the explosive growth of generative AI technologies in educational settings. Despite their potential to assist in learning and research, theres a growing concern among educators about their misuse, especially in relation to academic integrity. Previous studies have largely focused on theoretical discussions without much empirical data to support the claims.

My interest in this topic stemmed from the growing prevalence of generative artificial intelligence in academia and its potential impact on students, explained study author Muhammad Abbas, an associate professor at the FAST School of Management at the National University of Computer and Emerging Sciences in Pakistan. For the last year, I observed an increasing, uncritical, reliance on generative AI tools among my students for various assignments and projects I assigned. This prompted me to delve deeper into understanding the underlying causes and consequences of its usage among them.

To understand these dynamics, the study was conducted in two phases. Initially, the researchers developed and validated a scale to measure university students use of ChatGPT for academic purposes. They began by generating an initial set of 12 items, which was refined to 10 after expert evaluations for content validity. Further refinement through an exploratory factor analysis and reliability testing led to the final selection of eight items that effectively measured the extent of ChatGPTs academic use.

The scale included items such as: I use ChatGPT for my course assignments, I am addicted to ChatGPT when it comes to studies, and ChatGPT is part of my campus life.

In the second phase of the study, the researchers sought to validate the findings from the first phase while also testing specific hypotheses related to ChatGPTs impact. The sample consisted of 494 university students who were surveyed across three timepoints, each separated by a 1-2 week interval.

This time-lagged approach allowed the researchers to first gather data on predictor variables (academic workload, time pressure, sensitivity to rewards, and sensitivity to quality), followed by the measurement of ChatGPT usage, and finally, the assessment of outcomes (procrastination, memory loss, and academic performance).

Abbas and his colleagues found that high levels of academic workload and time pressure were significant predictors of increased ChatGPT usage, suggesting that students under significant academic stress are more likely to turn to generative AI tools for assistance.

Students who were more sensitive to rewards were less inclined to use ChatGPT, indicating a possible concern about the academic integrity and the potential negative consequences of relying on AI for academic tasks.

Moreover, the study uncovered significant adverse effects of ChatGPT usage on students personal and academic outcomes. Increased reliance on ChatGPT was associated with higher levels of procrastination and memory loss, and a negative impact on academic performance, as reflected in students grade point averages. These findings suggest that while ChatGPT can be a valuable resource under certain circumstances, its excessive use might lead to detrimental effects on learning behaviors and outcomes.

One surprising finding was the role of sensitivity to rewards, Abbas told PsyPost. Contrary to expectations, students who were more sensitive to rewards were less likely to use generative AI. Another surprising finding was the positive relationship of generative AI usage with procrastination and self-reported memory loss and negative relationship between generative AI usage and academic performance.

Interestingly, the study did not find a significant relationship between sensitivity to quality and ChatGPT usage, suggesting that concerns over the quality of academic work do not necessarily influence the decision to use AI tools.

The findings highlight the potential dual impact of ChatGPT in academia, serving both as a helpful tool under academic pressure and as a potential risk to academic integrity and student learning outcomes.

The average person should recognize the dark side of excessive generative AI usage, Abbas said. While these tools offer convenience, they can also lead to negative consequences such as procrastination, memory loss, and compromised academic performance. Also, factors like academic workload, sensitivity to rewards, and time pressure play significant roles in influencing students decision to use generative AI.

The study provides important details about ChatGPT usage among university students. But the study, like all research, includes limitations. For example, the time-lagged design, while more robust than cross-sectional designs, does not entirely eliminate the possibility of reciprocal relationships.

The study suggests a one-way impact of ChatGPT usage on students academic workload and personal outcomes, such as procrastination and memory loss. However, its conceivable that these relationships could be bidirectional. For instance, students who are prone to procrastination might be more inclined to use ChatGPT, rather than ChatGPT usage leading to increased procrastination.

The research opens the door to investigating the broader effects of ChatGPT usage on students learning outcomes and health. Future research could delve into how reliance on generative AI tools affects cognitive skills, mental health, and overall learning experiences.

My long-term goals involve expanding this line of research to further explore through other methods, such as experiments, how excessive use of generative AI affects students outcomes, Abbas said.

The study, Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students, was authored by Muhammad Abbas, Farooq Ahmed Jam, and Tariq Iqbal Khan.

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ChatGPT linked to declining academic performance and memory loss in new study - PsyPost