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Butterfly Effect Tiny initial differences = Massive chaos Stunning Wolfram sim that shows why weather forecasts fail.

Math Pulse

5,513 subscribers

69,381 просмотров • 3 месяцев назад •via X (Twitter)

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220 double pendulums, starting 0.0006° apart. The butterfly effect shows how small changes in initial conditions can lead to dramatically different outcomes.

220 double pendulums, starting 0.0006° apart. The butterfly effect shows how small changes in initial conditions can lead to dramatically different outcomes.

Science Simplified

21,509 просмотров • 3 месяцев назад

Short-range forecasting models make a last-minute move to align with the medium-range forecasts regarding the unsettled weather in #Kenya, especially the coastal strip, tomorrow & Monday. Geo-statonary satellite imagery shows a narrow band of tightly knit storm clouds that looks like an atmospheric river approaching the East African Coast. This atmospheric river lands with huge volumes of precipitable water at the #Kenyan coast tonight, bringing very rainy weather conditions there tomorrow & Monday. There's a chance of flash flooding in some areas at the coast. Further inland in #Nairobi, Central, Mt. Kenya East (leo nimegawanya Mrima 😃), Ukambani & parts of North Eastern, cool-to-chilly, cloudy and showery weather will dominate the weather tomorrow and Monday. Strong south easterlies in the Indian Ocean will do the good job of pushing moisture into Kenya's interior.

Short-range forecasting models make a last-minute move to align with the medium-range forecasts regarding the unsettled weather in #Kenya, especially the coastal strip, tomorrow & Monday. Geo-statonary satellite imagery shows a narrow band of tightly knit storm clouds that looks like an atmospheric river approaching the East African Coast. This atmospheric river lands with huge volumes of precipitable water at the #Kenyan coast tonight, bringing very rainy weather conditions there tomorrow & Monday. There's a chance of flash flooding in some areas at the coast. Further inland in #Nairobi, Central, Mt. Kenya East (leo nimegawanya Mrima 😃), Ukambani & parts of North Eastern, cool-to-chilly, cloudy and showery weather will dominate the weather tomorrow and Monday. Strong south easterlies in the Indian Ocean will do the good job of pushing moisture into Kenya's interior.

Maithya wa Vilivū

17,244 просмотров • 1 месяц назад

A man captured a stunning “spiritual energy shield” phenomenon on Mount Laojun, creating the impression of a massive natural barrier protecting the mountain range. this spectacular scene is not AI-generated, but a rare natural event that may only appear once in a century. The footage shows clouds and mist forming a striking boundary across the mountains, giving the landscape an otherworldly, almost magical appearance.

A man captured a stunning “spiritual energy shield” phenomenon on Mount Laojun, creating the impression of a massive natural barrier protecting the mountain range. this spectacular scene is not AI-generated, but a rare natural event that may only appear once in a century. The footage shows clouds and mist forming a striking boundary across the mountains, giving the landscape an otherworldly, almost magical appearance.

China Perspective

22,801 просмотров • 10 месяцев назад

8 free Polymarket Trading Bots on GitHub (from Beginner Friendly to Advanced Level). Each of these repos comes with a detailed step by step setup and usage guide in English. > Beginner Level - 5 min setup 1. This bot includes 120 ready to use strategies and tools for trading on prediction markets (Binance-Polymarket latency, Smart Routing, Penny Clipper, Momentum, DCA bots, Expiry Fade and more). It was built by a Cambridge computer science student who won a hackathon with this bot. GitHub: 2. A trading bot with a Smart Money strategy - it finds top traders in selected markets, filters them by Pnl, win rate, stable performance and then creates a list for automated copy trading. GitHub: 3. This is a bot toolkit that includes Polymarket - Kalshi arbitrage, whale alerts, market making, spread farming, sports trading and more. GitHub: 4. A weather trading bot from Chinese dev that analyzes different sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to get the latest temperature data and generate a detailed weather report for a specific city and day. GitHub: 5. A huge collection of 30+ free trading bots and services for prediction markets. GitHub: > Advanced bot setup 1. This bot analyzes the real trading behavior of any Polymarket trader. It finds repeated patterns in his trades, shows which strategies he uses and helps you understand how to adapt them to your own trading. GitHub: 2. A bot that automatically manages all your limit orders on Polymarket to maximize liquidity rewards. GitHub: > A full ML weather model 1. A machine learning weather model that learns from weather forecasting errors. Instead of blindly trusting forecasts, it analyzes how different weather sources have historically overestimated or underestimated temperature values in specific cities and conditions. Then it automatically adjusts new forecasts to produce more accurate predictions. GitHub: All of these bots also support Dry Run mode, so you can test them on real markets without risking any funds.

8 free Polymarket Trading Bots on GitHub (from Beginner Friendly to Advanced Level). Each of these repos comes with a detailed step by step setup and usage guide in English. > Beginner Level - 5 min setup 1. This bot includes 120 ready to use strategies and tools for trading on prediction markets (Binance-Polymarket latency, Smart Routing, Penny Clipper, Momentum, DCA bots, Expiry Fade and more). It was built by a Cambridge computer science student who won a hackathon with this bot. GitHub: 2. A trading bot with a Smart Money strategy - it finds top traders in selected markets, filters them by Pnl, win rate, stable performance and then creates a list for automated copy trading. GitHub: 3. This is a bot toolkit that includes Polymarket - Kalshi arbitrage, whale alerts, market making, spread farming, sports trading and more. GitHub: 4. A weather trading bot from Chinese dev that analyzes different sources in real time, like forecasts, airport data and aviation observations (METAR + SPECI) to get the latest temperature data and generate a detailed weather report for a specific city and day. GitHub: 5. A huge collection of 30+ free trading bots and services for prediction markets. GitHub: > Advanced bot setup 1. This bot analyzes the real trading behavior of any Polymarket trader. It finds repeated patterns in his trades, shows which strategies he uses and helps you understand how to adapt them to your own trading. GitHub: 2. A bot that automatically manages all your limit orders on Polymarket to maximize liquidity rewards. GitHub: > A full ML weather model 1. A machine learning weather model that learns from weather forecasting errors. Instead of blindly trusting forecasts, it analyzes how different weather sources have historically overestimated or underestimated temperature values in specific cities and conditions. Then it automatically adjusts new forecasts to produce more accurate predictions. GitHub: All of these bots also support Dry Run mode, so you can test them on real markets without risking any funds.

Recogard

59,096 просмотров • 3 месяцев назад

🚨 BLACKOUT CHAOS: SPAIN, PORTUGAL — AND NOW PARTS OF FRANCE AND BELGIUM What started as a blackout in Spain and Portugal just got bigger — now parts of France, Belgium, and even tiny Andorra are getting hit too. Trains stopped, traffic lights failed, and phones cut out — causing plenty of real-world panic. The cause? Still unclear. Some say it’s a European grid fail, others blame a fire in southern France that fried a major power line. Source: Bloomberg, Euronews

🚨 BLACKOUT CHAOS: SPAIN, PORTUGAL — AND NOW PARTS OF FRANCE AND BELGIUM What started as a blackout in Spain and Portugal just got bigger — now parts of France, Belgium, and even tiny Andorra are getting hit too. Trains stopped, traffic lights failed, and phones cut out — causing plenty of real-world panic. The cause? Still unclear. Some say it’s a European grid fail, others blame a fire in southern France that fried a major power line. Source: Bloomberg, Euronews

Mario Nawfal

2,080,157 просмотров • 1 год назад

How to make money on the weather using Polymarket I've been noticing more and more traders quietly printing on Polymarket's weather markets lately - and the category is exploding for a reason. Weather has always been super predictable for meteorologists (and us normals) right up to the day of. The whole point? You can earn easy, near-certain yield just knowing it'll rain in London tomorrow. I'm sharing a finished tutorial with you. Here is a small list of traders 1. gopfan2 ( - The absolute leader in weather. Earned over $2M in net profit by focusing on temperature and precipitation. Strategy - buy Yes below 15 cents, No above 45 cents, with risks of less than $1 per position. It dominates the NYC and London markets where the weather is predictable 2. enzocostapt81 ( is a weather-exclusive trader whose profile shows a complete wipeout in resolved positions-no active/open trades, current positions value $0.00, and all listed markets (resolved) at -100% P/L. The trader focused solely on daily/precise temperature predictions in major cities like New York City and London. 3. 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 ( 100% of active positions are weather/temperature markets across cities like Dallas, London, Seattle, Atlanta, NYC, and Toronto—focused on precise daily highs/thresholds/ranges. 4. meropi ( - Earned ~$30k on micro bets ($1-3) with multipliers up to 500x. Automated bets on temperature rise for 0.01 cents. Focus on speed to capture momentum in daily markets. One of the most stable in weather 5. 1pixel ( – $18.5k profit from $2.3k deposit, weather only (NYC and London) 6. erb80 ( Dominant focus-two massive Atlanta temperature range bets for Dec 17, with enormous share volume at ultra-low entries (0.1¢) turning into huge unrealized gains (+49,550% on the main one) 7. Hans323 ( - Earned $1.1M on one temperature trade in London. Started with $741 in January 2025 and increased to $87k net profit for the year 8. securebet ( - Turned $7 into $640 (+9244%) on a series of temperature bets in NYC and Seattle. 3077 predictions, top 0.04% by metrics. Focus on small bets ($3-20) with high growth on low quotes. High win rate thanks to NOAA data 9. automatedAItradingbot ( Micro/low-cost bets (0.4¢–15¢) on specific outcomes, especially weather thresholds in Seoul/London and fighter matchups.Explosive wins (300%+ on select weather 1,000–5,000% average ROI across successful weather specialists based on this traders Tools and Automation > ( - Built specifically for Polymarket weather traders. Offers real-time multi-model forecasts (GFS, ECMWF, etc.), temperature range dashboards, climate pattern guides per city/station, and settlement station details. Includes educational guides on seasonal biases and forecasting challenges—highly recommended for NYC/London/Atlanta markets. > ( — Free guide/resource hub for weather betting on Polymarket. Covers market overviews, settlement rules >Tropical Tidbits ( - US GFS and ECMWF Europe models for temperature, precipitation, hurricane forecasts. Updates every 6 hours. Ideal for comparing models if 3+ agree, the probability is high >Climate Reanalyzer ( - real-time maps of air/ocean temperature, precipitation anomalies. With historical context for calculating probabilities >Windy ( - interactive maps of wind, temperature, rain, snow. 10+ models, for local events NOAA Climate Data Online ( - 100+ years of historical location data NOAA Weather Prediction ? >Center ( - short forecasts for precipitation, anomalies. Climate Prediction Center ( - long-term ENSO, droughts >Open-Meteo ( - Completely free open-source weather API with no key required. Provides GFS, ECMWF-derived, and ensemble forecasts for temperature, precipitation, and more at hourly/sub-hourly resolution globally. Excellent for scripting quick checks on NYC/London highs or comparing multiple models. Direct API calls make it ideal for automation or batch probability calculations. >OpenWeatherMap ( = Free tier gives current conditions, 5-day/3-hour forecasts, and 16-day daily forecasts. Good for real-time verification and basic historical pulls (limited free). Use for cross-checking Polymarket ranges before resolution. >Visual Crossing Weather ( - Free tier includes historical data (50+ years), current conditions, hourly/sub-hourly forecasts, and alerts. Strong for querying specific cities >WeatherAPI. com ( - Free plan covers real-time, hourly, daily forecasts (up to 14 days), historical data (from 2010), and bulk requests. Reliable for urban stations and includes marine/pollen extras if needed. Quick Tips for Using These in Trading >>>Cross-verify 3+ models (e.g., GFS + ECMWF via Open-Meteo + Windy) → if 80%+ agree on a range/threshold, probability is often very high for "Yes" bets under 10-15¢. >>>Focus on major stations (e.g., Central Park for NYC, Heathrow for London) - check settlement rules on Polymarket pages. >>>ADD TO BOOKMARKS so you don't lose alpha information

Aleiah

77,698 просмотров • 9 месяцев назад

How to make money on the weather using Polymarket I've been noticing more and more traders quietly printing on Polymarket's weather markets lately - and the category is exploding for a reason. Weather has always been super predictable for meteorologists (and us normals) right up to the day of. The whole point? You can earn easy, near-certain yield just knowing it'll rain in London tomorrow. I'm sharing a finished tutorial with you. Here is a small list of traders 1. gopfan2 ( - The absolute leader in weather. Earned over $2M in net profit by focusing on temperature and precipitation. Strategy - buy Yes below 15 cents, No above 45 cents, with risks of less than $1 per position. It dominates the NYC and London markets where the weather is predictable 2. enzocostapt81 ( is a weather-exclusive trader whose profile shows a complete wipeout in resolved positions-no active/open trades, current positions value $0.00, and all listed markets (resolved) at -100% P/L. The trader focused solely on daily/precise temperature predictions in major cities like New York City and London. 3. 0x594edb9112f526fa6a80b8f858a6379c8a2c1c11 ( 100% of active positions are weather/temperature markets across cities like Dallas, London, Seattle, Atlanta, NYC, and Toronto-focused on precise daily highs/thresholds/ranges. 4. meropi ( - Earned ~$30k on micro bets ($1-3) with multipliers up to 500x. Automated bets on temperature rise for 0.01 cents. Focus on speed to capture momentum in daily markets. One of the most stable in weather 5. 1pixel ( - $18.5k profit from $2.3k deposit, weather only (NYC and London) 6. erb80 ( Dominant focus-two massive Atlanta temperature range bets for Dec 17, with enormous share volume at ultra-low entries (0.1¢) turning into huge unrealized gains (+49,550% on the main one) 7. Hans323 ( - Earned $1.1M on one temperature trade in London. Started with $741 in January 2025 and increased to $87k net profit for the year 8. securebet ( - Turned $7 into $640 (+9244%) on a series of temperature bets in NYC and Seattle. 3077 predictions, top 0.04% by metrics. Focus on small bets ($3-20) with high growth on low quotes. High win rate thanks to NOAA data 9. automatedAItradingbot ( Micro/low-cost bets (0.4¢–15¢) on specific outcomes, especially weather thresholds in Seoul/London and fighter matchups.Explosive wins (300%+ on select weather 1,000–5,000% average ROI across successful weather specialists based on this traders Tools and Automation > - Built specifically for Polymarket weather traders. Offers real-time multi-model forecasts (GFS, ECMWF, etc.), temperature range dashboards, climate pattern guides per city/station, and settlement station details. Includes educational guides on seasonal biases and forecasting challenges—highly recommended for NYC/London/Atlanta markets. > - Free guide/resource hub for weather betting on Polymarket. Covers market overviews, settlement rules > - US GFS and ECMWF Europe models for temperature, precipitation, hurricane forecasts. Updates every 6 hours. Ideal for comparing models if 3+ agree, the probability is high > - real-time maps of air/ocean temperature, precipitation anomalies. With historical context for calculating probabilities > - interactive maps of wind, temperature, rain, snow. 10+ models, for local events NOAA Climate Data Online - 100+ years of historical location data NOAA Weather Prediction > - short forecasts for precipitation, anomalies. Climate Prediction Center - long-term ENSO, droughts > - Completely free open-source weather API with no key required. Provides GFS, ECMWF-derived, and ensemble forecasts for temperature, precipitation, and more at hourly/sub-hourly resolution globally. Excellent for scripting quick checks on NYC/London highs or comparing multiple models. Direct API calls make it ideal for automation or batch probability calculations. > - Free tier gives current conditions, 5-day/3-hour forecasts, and 16-day daily forecasts. Good for real-time verification and basic historical pulls (limited free). Use for cross-checking Polymarket ranges before resolution. > - Free tier includes historical data (50+ years), current conditions, hourly/sub-hourly forecasts, and alerts. Strong for querying specific cities > - Free plan covers real-time, hourly, daily forecasts (up to 14 days), historical data (from 2010), and bulk requests. Reliable for urban stations and includes marine/pollen extras if needed. Quick Tips for Using These in Trading >>>Cross-verify 3+ models (e.g., GFS + ECMWF via Open-Meteo + Windy) → if 80%+ agree on a range/threshold, probability is often very high for "Yes" bets under 10-15¢. >>>Focus on major stations (e.g., Central Park for NYC, Heathrow for London) - check settlement rules on Polymarket pages. >>>ADD TO BOOKMARKS so you don't lose alpha information

Valentin

17,188 просмотров • 5 месяцев назад

We’ve all seen a double rainbow, but have you ever seen the sky do this? 🤔 This rare phenomenon happens when sunlight reflects off the water’s surface and then passes through rain droplets in the air. The reflected sunlight acts like a second sun, producing additional rainbow arcs that cross the primary ones—creating this stunning crisscross effect. It’s pure optics, perfect timing, and the ocean acting like a giant mirror ☀️💧 Nature doesn’t repeat itself often… and when it doesn’t, it really shows off.

We’ve all seen a double rainbow, but have you ever seen the sky do this? 🤔 This rare phenomenon happens when sunlight reflects off the water’s surface and then passes through rain droplets in the air. The reflected sunlight acts like a second sun, producing additional rainbow arcs that cross the primary ones—creating this stunning crisscross effect. It’s pure optics, perfect timing, and the ocean acting like a giant mirror ☀️💧 Nature doesn’t repeat itself often… and when it doesn’t, it really shows off.

The Astronomy Guy

88,281 просмотров • 6 месяцев назад

Work has begun on my breakdown of the April 27, 2026, Moderate Risk severe weather event across the Midwest and Mid-South. Forecasts called for numerous supercells with intense, long-track tornadoes, particularly in the open warm sector, but this did not materialize, as warm sector supercells failed to sustain. Of the ~22 tornadoes that occurred from the afternoon of the 27th into the morning of the 28th, all were weak and most were short-lived. In this video, we'll discuss the meteorology behind the event, including several reasons why the event significantly underperformed in the tornado department. Stay tuned!

Work has begun on my breakdown of the April 27, 2026, Moderate Risk severe weather event across the Midwest and Mid-South. Forecasts called for numerous supercells with intense, long-track tornadoes, particularly in the open warm sector, but this did not materialize, as warm sector supercells failed to sustain. Of the ~22 tornadoes that occurred from the afternoon of the 27th into the morning of the 28th, all were weak and most were short-lived. In this video, we'll discuss the meteorology behind the event, including several reasons why the event significantly underperformed in the tornado department. Stay tuned!

Convective Chronicles

37,874 просмотров • 4 месяцев назад

Perfect example of why I don't think the bottom is in yet. His liquidation sits at $51K. That's not just his level it's the entire market's. The Coinglass heatmap shows massive liquidity stacked from $53K down to $49K. That's the pool. That's the magnet. Bottom-callers this week are going to be exit liquidity for that flush. $55K and $50K my bids still stacked. Waiting.

Perfect example of why I don't think the bottom is in yet. His liquidation sits at $51K. That's not just his level it's the entire market's. The Coinglass heatmap shows massive liquidity stacked from $53K down to $49K. That's the pool. That's the magnet. Bottom-callers this week are going to be exit liquidity for that flush. $55K and $50K my bids still stacked. Waiting.

Merlijn The Trader

44,443 просмотров • 3 месяцев назад

A chilling video captured by a crew member of the Bayesian superyacht, which sank in August, claiming seven lives, including billionaire Mike Lynch, shows violent storms approaching just hours before the tragedy. Fifteen people survived. The video was posted on social media by Matthew Griffiths during his night watch shift on the ill-fated yacht. Griffiths is one of three individuals under investigation following the sinking. According to the yacht’s captain, the Bayesian tilted 45 degrees and remained in that position before suddenly capsizing. The yacht sank in just 16 minutes, and prosecutors are investigating whether hatches and portholes were left unsecured despite forecasts of bad weather, which local fishermen had been aware of.

A chilling video captured by a crew member of the Bayesian superyacht, which sank in August, claiming seven lives, including billionaire Mike Lynch, shows violent storms approaching just hours before the tragedy. Fifteen people survived. The video was posted on social media by Matthew Griffiths during his night watch shift on the ill-fated yacht. Griffiths is one of three individuals under investigation following the sinking. According to the yacht’s captain, the Bayesian tilted 45 degrees and remained in that position before suddenly capsizing. The yacht sank in just 16 minutes, and prosecutors are investigating whether hatches and portholes were left unsecured despite forecasts of bad weather, which local fishermen had been aware of.

Morbid Knowledge

163,503 просмотров • 2 лет назад

Create and warm 50 TikTok accounts in the US. This is where modern content infrastructure is heading. Not VPN-based provisioning. Not disposable or low-trust setups. Real, in-country accounts created on physical devices, with local signals and proper warming. Why this matters: You can generate thousands of posts per day. Getting them seen is the hard part. TikTok evaluates more than just IP. SIM, GPS, device fingerprint, and early behavior all play a role. That’s why most setups fail within days. The teams that win separate the stack: generate → render → distribute And treat distribution as infrastructure, not an afterthought. If you want to go deeper: Setup breakdown: Ultimate content factory playbook:

Create and warm 50 TikTok accounts in the US. This is where modern content infrastructure is heading. Not VPN-based provisioning. Not disposable or low-trust setups. Real, in-country accounts created on physical devices, with local signals and proper warming. Why this matters: You can generate thousands of posts per day. Getting them seen is the hard part. TikTok evaluates more than just IP. SIM, GPS, device fingerprint, and early behavior all play a role. That’s why most setups fail within days. The teams that win separate the stack: generate → render → distribute And treat distribution as infrastructure, not an afterthought. If you want to go deeper: Setup breakdown: Ultimate content factory playbook:

CODIFY

61,985 просмотров • 5 месяцев назад

He ran to his car from work to catch the flight Missed the first act but somehow it's better this way. It's just right. Because you get to watch him make his way through the masses Parting the crowd like some neon Moses in a sequin sea He is a magnet and a trampoline The tiny bubbles in champagne Haphazard but precise, he crash-landed next to you Reckless, but never with your heart If he's in, you are too You've begun to feel that Every song before was just a prayer A wish list He is not what you've been waiting for He is more. Why you held out Why you left And nothing aches suddenly He has that effect

He ran to his car from work to catch the flight Missed the first act but somehow it's better this way. It's just right. Because you get to watch him make his way through the masses Parting the crowd like some neon Moses in a sequin sea He is a magnet and a trampoline The tiny bubbles in champagne Haphazard but precise, he crash-landed next to you Reckless, but never with your heart If he's in, you are too You've begun to feel that Every song before was just a prayer A wish list He is not what you've been waiting for He is more. Why you held out Why you left And nothing aches suddenly He has that effect

Jack

27,440 просмотров • 5 месяцев назад

🚨 NASA JUST SHARED THE CLEAREST VIEW YET OF JUPITER’S MASSIVE HEXAGONAL STORM AT THE SOUTH POLE. This enormous, stable vortex roughly the width of Earth has been raging for years with a near-perfect hexagonal shape. At its center is a dark, powerful cyclone surrounded by turbulent, swirling bands of gas in constant motion. The hexagon is one of the most striking and mysterious atmospheric features in the Solar System. Scientists still don’t fully understand how it maintains its sharp, six-sided structure despite the chaotic winds around it. Why this matters: • It shows that giant planets can sustain extremely organized, long-lived weather systems on scales we don’t see on Earth • The hexagon is thought to be shaped by Jupiter’s rapid rotation and deep atmospheric dynamics • Studying it helps us understand how storms and atmospheric patterns work on gas giants in general including exoplanets • Juno’s close-up observations continue to reveal new details about the depth and structure of these polar vortices The deeper implication: Jupiter’s polar regions are turning out to be far more complex and structured than scientists expected. Features like this hexagon challenge our models of atmospheric physics and show that even in the most turbulent environments, nature can create remarkably stable, geometric patterns. As we study more gas giants (both in our Solar System and beyond), these kinds of observations help us understand the limits of weather, stability, and chaos on planetary scales. How do you think something this organized and long-lasting can exist in such a violent atmosphere? Follow for more frontier planetary science and stunning space imagery.

🚨 NASA JUST SHARED THE CLEAREST VIEW YET OF JUPITER’S MASSIVE HEXAGONAL STORM AT THE SOUTH POLE. This enormous, stable vortex roughly the width of Earth has been raging for years with a near-perfect hexagonal shape. At its center is a dark, powerful cyclone surrounded by turbulent, swirling bands of gas in constant motion. The hexagon is one of the most striking and mysterious atmospheric features in the Solar System. Scientists still don’t fully understand how it maintains its sharp, six-sided structure despite the chaotic winds around it. Why this matters: • It shows that giant planets can sustain extremely organized, long-lived weather systems on scales we don’t see on Earth • The hexagon is thought to be shaped by Jupiter’s rapid rotation and deep atmospheric dynamics • Studying it helps us understand how storms and atmospheric patterns work on gas giants in general including exoplanets • Juno’s close-up observations continue to reveal new details about the depth and structure of these polar vortices The deeper implication: Jupiter’s polar regions are turning out to be far more complex and structured than scientists expected. Features like this hexagon challenge our models of atmospheric physics and show that even in the most turbulent environments, nature can create remarkably stable, geometric patterns. As we study more gas giants (both in our Solar System and beyond), these kinds of observations help us understand the limits of weather, stability, and chaos on planetary scales. How do you think something this organized and long-lasting can exist in such a violent atmosphere? Follow for more frontier planetary science and stunning space imagery.

TheNewPhysics

460,141 просмотров • 4 месяцев назад

After her first eyewall replacement attempt resulted in a merger that pushed her to a 165 MPH, 913 mbar peak, Super Typhoon Bavi is finally in the throes of a true EWRC. The thick and persistent nature of her inner core is still protecting a stellar Stadium Effect in the eye, but her infrared satellite signature shows a textbook EWRC structure developing, with a pronounced moat thawing out between the colder, dueling eyewalls. Confidence for a direct or near-direct landfall over the tiny island of Rota continues to increase today; however, Guam should keep a very close eye out for any consistent southward jogs in Bavi’s motion. Even a small deviation could expose the 165,000 residents there to high-end Category 4 or 5 winds.

After her first eyewall replacement attempt resulted in a merger that pushed her to a 165 MPH, 913 mbar peak, Super Typhoon Bavi is finally in the throes of a true EWRC. The thick and persistent nature of her inner core is still protecting a stellar Stadium Effect in the eye, but her infrared satellite signature shows a textbook EWRC structure developing, with a pronounced moat thawing out between the colder, dueling eyewalls. Confidence for a direct or near-direct landfall over the tiny island of Rota continues to increase today; however, Guam should keep a very close eye out for any consistent southward jogs in Bavi’s motion. Even a small deviation could expose the 165,000 residents there to high-end Category 4 or 5 winds.

Backpirch Weather

31,133 просмотров • 3 месяцев назад

Hillary Clinton received the Presidential Medal of Freedom. The four Americans who died in the 2012 Benghazi attack, Ambassador J. Christopher Stevens, Sean Smith, Tyrone Woods, and Glen Doherty, were posthumously awarded the Congressional Gold Medal. This was in 2022. They still have not been minted or conferred. This is unacceptable and only being done to not remind people of her part in the massive failure and the outright lie told in the initial days following the attack that this was over a YouTube video. As Hillary would say, “What Difference does it make”…Well it made the difference in that that soundbite was why you lost in 2016 & it makes a difference to those families that still do not have the medals for their fallen loved ones who did more for this nation than you could ever dream. President Trump will confer their medals this year I have no doubt.

Hillary Clinton received the Presidential Medal of Freedom. The four Americans who died in the 2012 Benghazi attack, Ambassador J. Christopher Stevens, Sean Smith, Tyrone Woods, and Glen Doherty, were posthumously awarded the Congressional Gold Medal. This was in 2022. They still have not been minted or conferred. This is unacceptable and only being done to not remind people of her part in the massive failure and the outright lie told in the initial days following the attack that this was over a YouTube video. As Hillary would say, “What Difference does it make”…Well it made the difference in that that soundbite was why you lost in 2016 & it makes a difference to those families that still do not have the medals for their fallen loved ones who did more for this nation than you could ever dream. President Trump will confer their medals this year I have no doubt.

Johnny St.Pete

235,711 просмотров • 1 год назад

I wonder why the studio didn't include his speech on their video. turns out #zhanglinghe mentioned that he will play as song ling too in his speech for today's filming ceremony 🎭🎬 "hello everyone, I'm Zhang Linghe, and I'm also Revenge's Ye He and Song Ling, as well as Ye Tingyan. thank you, everyone. good luck for this filming!" while the board of his drink treats today also mentioned he song ling, but later the op posted a comment said the crew clarified that they make a mistake for writing song ling on it. at this rate, idk what to expect towards this drama. in the novel it is clear that ye tingyan get his song ling identity and the throne back. if he doesn't play song ling, that means there is huge differences made in the script only to accomodate capital to push in more of their people in this project. I just hope if song ling was promised by the crew to be played by linghe then just give it to him as per their initial offer and don't scam him only to secure the investments.

I wonder why the studio didn't include his speech on their video. turns out #zhanglinghe mentioned that he will play as song ling too in his speech for today's filming ceremony 🎭🎬 "hello everyone, I'm Zhang Linghe, and I'm also Revenge's Ye He and Song Ling, as well as Ye Tingyan. thank you, everyone. good luck for this filming!" while the board of his drink treats today also mentioned he song ling, but later the op posted a comment said the crew clarified that they make a mistake for writing song ling on it. at this rate, idk what to expect towards this drama. in the novel it is clear that ye tingyan get his song ling identity and the throne back. if he doesn't play song ling, that means there is huge differences made in the script only to accomodate capital to push in more of their people in this project. I just hope if song ling was promised by the crew to be played by linghe then just give it to him as per their initial offer and don't scam him only to secure the investments.

张凌赫的小核桃𖹭

144,158 просмотров • 1 месяц назад

🚨🇺🇸🇮🇷 THE TINY ISLAND THAT COULD STRANGLE IRAN’S ECONOMY Kharg Island is barely a dot on the map; it's a rocky lump in the Persian Gulf about 15 miles off Iran’s coast. But that tiny island handles around 90% of Iran’s oil exports, which means it’s their economic jugular. Pipelines from the mainland feed giant storage tanks there, and supertankers dock offshore to haul crude out through the Strait of Hormuz, much of it heading straight to China. Cut Kharg off and the money pipeline dries up. No tankers. No oil exports. No revenue. For military planners, that makes the island one of the most tempting pressure points in the entire region. Why bomb refineries across a country the size of Iran when one island controls the tap? But actually seizing Kharg would be anything but easy. Iran has spent decades preparing for exactly that scenario. Not with aircraft carriers or massive fleets, with asymmetric chaos. Naval mines scattered through shipping lanes, drone swarms like the Shahed-136, fast attack boats buzzing around like armed jet skis. Individually, none of these threaten the U.S. Navy, but combined, they turn the Persian Gulf into a giant naval obstacle course. Even if the island were captured, holding it would be the real nightmare. Iran wouldn’t need to retake Kharg, it would just need to make sure no one can safely use it. And then there’s the global fallout. Iran exports 1–2 million barrels of oil per day, take Kharg offline and oil markets would react insanely. Source: BBC

🚨🇺🇸🇮🇷 THE TINY ISLAND THAT COULD STRANGLE IRAN’S ECONOMY Kharg Island is barely a dot on the map; it's a rocky lump in the Persian Gulf about 15 miles off Iran’s coast. But that tiny island handles around 90% of Iran’s oil exports, which means it’s their economic jugular. Pipelines from the mainland feed giant storage tanks there, and supertankers dock offshore to haul crude out through the Strait of Hormuz, much of it heading straight to China. Cut Kharg off and the money pipeline dries up. No tankers. No oil exports. No revenue. For military planners, that makes the island one of the most tempting pressure points in the entire region. Why bomb refineries across a country the size of Iran when one island controls the tap? But actually seizing Kharg would be anything but easy. Iran has spent decades preparing for exactly that scenario. Not with aircraft carriers or massive fleets, with asymmetric chaos. Naval mines scattered through shipping lanes, drone swarms like the Shahed-136, fast attack boats buzzing around like armed jet skis. Individually, none of these threaten the U.S. Navy, but combined, they turn the Persian Gulf into a giant naval obstacle course. Even if the island were captured, holding it would be the real nightmare. Iran wouldn’t need to retake Kharg, it would just need to make sure no one can safely use it. And then there’s the global fallout. Iran exports 1–2 million barrels of oil per day, take Kharg offline and oil markets would react insanely. Source: BBC

Mario Nawfal

521,230 просмотров • 7 месяцев назад