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

I tried using ChatGPT to help me move across the country – Mashable

When you hit your 20-somethings, nobody tells you how to adult. So now, four months away from the end of my lease, I need to figure out how to move across the country for the first time by myself. I could ask my parents, but where's the fun in that I am a big boy after all. This means obviously, as a reporter for an esteemed tech outlet, the solution is artificial intelligence.

I mean why not, right?

Big Tech has spent billions of dollars trying to find meaningful ways for us to incorporate generative AI into our lives. So, why not use generative AI as my personal assistant and financial planner during my cross-country move from Austin to Chicago?

In theory, moving to a new city is an ideal test of the tools OpenAI claims ChatGPT to be good at, especially now that it can access the internet, users can upload attachments and photos, and can be custom-built for specific needs. If ChatGPT can't ease some of my burdens when it comes to budgeting, searching for, financing, and driving to a new apartment that's more than 1,100 miles away, then perhaps it's not worth the GPUs it's built with.

Even before we look at apartments, I need ChatGPT to help me save money. On top of paying rent and utilities between now and June 1, I also started paying back my student loans in January, which runs me a cool $200 a month until the 2040s.

My goal is to paint a broad picture of what I need to do financially to have the money to make my move as stress-free as possible. ChatGPT and, thus, this experiment is inherently limited because the AI can't do all the financing for me. As much as I would love, in theory, for this AI to take care of my budgeting fully, it can't; nor do I feel comfortable allowing OpenAI to have access to my sensitive financial data.

Truly, this might be way above ChatGPT's pay grade considering it's a conversational AI with a hallucination problem (and not an arithmetic machine), but I gave both AIs the prompt specifying what I'm trying to achieve and asked it to calculate "how much I need to save from each paycheck to reasonably move to Chicago."

The AI was game to help.

You gotta be as specific as possible. The AI's don't appreciate having to do financial guesswork. Credit: OpenAI via screenshot

The big challenge was getting numbers that were realistic to my current situation especially when it came to dates. Between the time this was written and when my July 1 move-in date arrives, I'll receive 7 paychecks. During testing, if my prompt didn't specify July 1, 2024, ChatGPT would assume I meant July 1, 2025, and calculate for a year's worth of money. And even when I am specific about the dates, the AIs may still just hallucinate random numbers, like when ChatGPT randomly calculated for 10 pay periods instead of the 7 I'd specified.

The math was a little spotty, but with some tweaking to the prompts, ChatGPT gave me the ideal number that I should save based on my income and recurring payments. This matched up with the math I did by hand, which admittedly doesn't mean much that's why my degree is in journalism and not STEM.

Now that I know how much I need to save, I need to get a shortlist of places that fit within my budget. My range for rent for my next apartment is $1,000-$1,500. I'm not looking for anything fancy in the Windy City, but a studio/1 bed with an in-unit washer/dryer would be perfect.

Unfortunately, OpenAI has slowly wound down plugins so we're going to have to rely on CustomGPTs, an evolved version of plugins that allows users to create their own chatbots, to specify our real estate needs for this experiment. I used three different CustomGPTs: Apartment/House Rental Finder, Apartment Scout, and Apartment Finder.

So far, the running trend with these GPTs and this experiment, in general, is I need to be extremely specific which ruins the fun for me, because I'm trying to offload all my thinking to the robot. It's clearly a worse experience than just Googling. For instance, Apartment Scout gives a bulleted list of neighborhoods, and when I tell it which one I like, it goes:

It looks like I'm encountering some technical difficulties accessing the specific rental listings directly from the sources I usually rely on. However, you can find suitable studio or 1-bedroom apartments within your price range and criteria by checking out popular rental websites such as Zillow, Apartments.com, and Realtor.com.

What do you mean go somewhere else? Credit: OpenAI via screenshot

On another attempt, it provides a few links to actual apartment listings.

Now it wants to act right. Credit: OpenAI via screenshot

At least this GPT provides a link for me, unlike Apartment/House Rental Finder, which uses Craigslist to find apartments that specify my needs and then will tell me to go there myself if I ask for links to the apartments it listed.

Very helpful. Credit: OpenAI via screenshot

Ultimately, Apartment Finder was also not of much help and also told me to go somewhere else to find what I needed.

Credit: OpenAI via screenshot

The results (or lack thereof) are not surprising. ChatGPT was designed to tell the user whatever will make the user feel happy or smart, rather than be any sort of leader or authority, so if you are unsure about the broad strokes of where you want to live, then you're not gonna have much luck.

I'll guess I'll stick to late-night scrolling on Zillow.

The final step of this move is the packing and planning of the drive. One of the perks of ChatGPT is that you can upload pictures now, so I decided to see if showing ChatGPT my room would help it give me advice on how to pack up my belongings for the move.

Short answer: It didn't. Long answer: It didn't, and instead gave me generic advice on how to rip apart my room:

First, declutter the room, separating items to keep, donate, or discard. Gather moving supplies: boxes, bubble wrap, packing paper, tape, and markers. Pack items from least used to most used, labeling boxes with contents and destination room. Dismantle furniture, wrapping pieces in moving blankets or bubble wrap. Protect the electronics with bubble wrap and place them in boxes. Roll up the rug and secure with tape. Pack the artwork with bubble wrap and place in picture boxes. Use wardrobe boxes for hanging clothes and suitcases for others. Pack a box of essentials separately. Clean the room once emptied.

This advice, especially that neat tidbit about rolling up the rug in my room, wasn't all that useful (hint: my floor is carpeted).

Don't mind my room, it's a little dirty Credit: OpenAI via screenshot

Okay, well, that was a bust, so what about the drive? Unsurprisingly, this is where ChatGPT was the most helpful. I gave it two scenarios: one where I use a rented U-Haul to drive to Chicago, and another where I keep my car. According to the U-Haul website and the math done by ChatGPT, renting and driving a U-Haul costs around $700+.

The mover's dilemma: Sell all my stuff or spend $700 on a U-Haul? Credit: OpenAI via screenshot

If I drive my car, a 2012 Dodge Durango, the cost of just the gas is only around $240.

After calculating costs, ChatGPT gave me some routes to take. Of course, that information is superfluous since I can use Google Maps anyway, but it's nice to know now where my little adventure will take me. According to my friend from Illinois, the drive from Austin to Chicago is not great, so I'm glad ChatGPT told me to have some podcasts on deck to keep me entertained.

Here's the TL;DR: Don't use ChatGPT to plan a move across the country.

It's not that ChatGPT can't be helpful, cause it can. The chatbot helped me visualize a broad overview of my finances and gave me some useful tips and tricks for packing and route-planning. However, you need to be so hyper-specific with the prompts that all that time tinkering could be spent, you know, planning your move yourself.

Wanna use the CustomGPTs to help find apartments? Sorry, they'll just tell you to use Zillow. Wanna use ChatGPT to pin down how much to save out of your paychecks? Unless you're willing to get into the weeds about your financial security, good luck getting it to not just make shit up and even then it still might. Of course, these chatbots aren't designed to do life for you, but this exercise was somehow more frustrating than I thought it would be.

I guess I'll call my parents for help after all.

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I tried using ChatGPT to help me move across the country - Mashable

Crew Wraps Up Station Upkeep, Conducts Fiber Optics and Antimicrobial Investigations on Friday – NASA Blogs

An aurora and an atmospheric glow crown Earths horizon beneath a starry sky in this photograph from the International Space Station as it orbited 262 miles above the Canadian province of Quebec.

A week of science and station upkeep continued on Friday aboard the International Space Station. Ahead of their off-duty weekend, the seven Expedition 70 crew members completed an array of tasks to wrap up maintenance activities and resume microgravity research investigations.

On Tuesday, NASA Flight Engineer Jasmin Moghbeli kicked off a multi-day-long study investigating the efficiency of an antimicrobial coating in space. JAXA (Japan Aerospace Exploration Agency) Flight Engineer Satoshi Furukawa took over this work on Friday, continuing the investigation to help researchers better understand how the coating holds up over time.

Furukawa and Moghbeli then teamed up to inspect and change out cartridges in masks that are used in the unlikely event an emergency were to occur on station. Later on, Furukawa transferred data collected earlier this week during his and NASA Flight Engineer Loral OHaras acoustic monitoring sessions. At the end of the day, OHara configured the Microgravity Science Glovebox (MSG) for an ongoing fiber optics investigation.

Station Commander Andreas Mogensen of ESA (European Space Agency) spent Friday wrapping up tasks conducted earlier this weekstowing spacesuit hardware and charging the VR Mental Care battery. In the evening, Mogensen performed a VR for Exercise session, which focuses on the use of a virtual reality environment for biking aboard the orbiting laboratory. Not only does this mitigate bone and muscle loss that occurs in low-Earth orbit, but can increase motivation for daily exercise and boost morale.

The Roscosmos trio split up their duties Friday, carrying out ongoing tasks from the week. Flight Engineer Oleg Kononenko removed and replaced hardware in the Zvezda service module, while Flight Engineer Nikolai Chub completed some orbital plumbing. Meanwhile, Flight Engineer Konstantin Borisov performed an experiment that studies the glow of Earths nighttime atmosphere in near-ultraviolet.

Learn more about station activities by following the space station blog, @space_station and @ISS_Research on X, as well as the ISS Facebook and ISS Instagram accounts.

Get weekly video highlights at: https://roundupreads.jsc.nasa.gov/videoupdate/

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Crew Wraps Up Station Upkeep, Conducts Fiber Optics and Antimicrobial Investigations on Friday - NASA Blogs