RE: https://mastodon.social/@Nostradamus_Jr/116753742863829953

✍️ UPDATE: Told you so

Exactly as predicted on June 15, the Telugu states saw a significant drop in rainfall over the last week (June 15 – June 21). The monsoon hit a hard pause, leaving us with isolated dry patches and even brief heatwaves.

The week is officially up, and right on cue, the IMD has issued heavy rain alerts starting from tomorrow (June 22). 100% accuracy! 🌧️

#monsoon2026 #weatherprediction

RE: https://mastodon.social/@Nostradamus_Jr/116696460136735763

187% more rain!

#WeatherUpdate #Rajasthan #rajasthanweather #Monsoon2026 #WeatherPrediction

RE: https://mastodon.social/@Nostradamus_Jr/116719282949735108

My prediction on Tuesday (June 9) was spot on!

IMD confirms that the pre-monsoon rain spell in Uttar Pradesh officially started on June 11, 2026, with heavy rainfall, thunderstorms, and strong winds reported across the state. The wet spell is expected to continue until June 13–16.

#WeatherUpdate #UttarPradesh #IMD #Monsoon2026 #PreMonsoonRain #Lucknow #Varanasi #Prayagraj #Kanpur #WeatherPrediction

RE: https://mastodon.social/@kottke/116120278878301519

Hmmm. Without animated past (at least) 6 hours of radar this app has limited utility. While I like good prediction, often I find it more accurate to see earlier weather/storm development to deduce upcoming weather. #weather #weatherprediction

Discover Punxsutawney Phil's 2026 Groundhog Day prediction: Shadow sighted means more winter ahead. Get details on the event, history, and expert insights from Pennsylvania's famous forecast.
#GroundhogDay2026 #PunxsutawneyPhil #SixMoreWeeksOfWinter #PennsylvaniaTradition #WeatherPrediction

https://dailyupdatesworld.com/did-punxsutawney-phil-predict-early-spring-140th-forecast-reveals-more-cold-ahead/

Một dự án thú vị sử dụng AI! Người dùng đã kết hợp dự báo thời tiết cục bộ và Llama3.1 8B để chọn trang phục cho cả tuần. Hệ thống dùng thư viện meteostat dự đoán nhiệt độ, sau đó Llama3.1 gợi ý đồ mặc phù hợp, thậm chí phát ra báo thức mỗi sáng!

#AI #Llama3_1 #WeatherPrediction #OutfitPicker #LocalLLaMA #TechProject
#AIDựĐoán #DựBáoThờiTiết #ChọnTrangPhục #HọcMáy

https://www.reddit.com/r/LocalLLaMA/comments/1pemqji/i_made_this_video_for_a_project_where_i_used_a/

Basics of Numerical Weather Prediction (NWP):

1. THE HORIZONTAL MOMENTUM EQUATION:
\[
\frac{d\mathbf{V}}{dt} + f\hat{k} \times \mathbf{V} = -\nabla \phi + \frac{\sigma}{p_s} \frac{\partial \phi}{\partial \sigma} \nabla p_s + \mathbf{F}
\]

2. THE CONTINUITY EQUATION:
\[
\frac{\partial p_s}{\partial t} + \nabla \cdot (p_s \mathbf{V}) + \frac{\partial}{\partial \sigma}(p_s \dot{\sigma}) = 0
\]

3. THE THERMODYNAMIC ENERGY EQUATION:
\[
\frac{1}{R} \frac{d}{dt} \left[ \sigma \frac{\partial \phi}{\partial \sigma} \right] + \frac{RT}{C_p p} \left[ p_s \dot{\sigma} + \sigma\dot{p_s} \right] = -Q
\]

4. HYDROSTATIC EQUATION:
\[
\frac{\partial \phi}{\partial \sigma} = -\frac{RT_v}{\sigma}
\]

5. SURFACE PRESSURE TENDENCY EQUATION:
\[\displaystyle
\frac{\partial p_s}{\partial t} = -\int_{0}^{1} \nabla\cdot (p_s \mathbf{V}) \, d\sigma
\]

6. MOISTURE EQUATION:
\[\displaystyle
\frac{\partial}{\partial t} (p_s q) + \nabla\cdot (p_s q \mathbf{V}) + \frac{\partial}{\partial \sigma} (p_s q \dot{\sigma}) = p_s S
\]

The six primary unknowns are: \(\mathbf{V}\) (horizontal wind velocity), \(p_s\) (surface pressure), \(T\) (temperature), \(q\) (specific humidity or moisture), \(\phi\) (geopotential), and \(\dot{\sigma}\) (sigma velocity or vertical velocity in \(\sigma\)-coordinates).

#NWP #Weather #NumericalWeatherPrediction #Meteorology #Climate #ClimateScience #Earth #EarthScience #ClimateChange #ClimateSciences #Science #WeatherPrediction #Humidity #Moisture #Pressure #Velocity #SurfacePressure #HydrostaticEquation #WeatherPrediction #Ocean #Atmosphere #AOS #ClimateDynamics #WeatherDynamics #Geopotential #SigmaVelocity #VerticalVelocity #MoistureEquation #Thermodynamics #Dynamics #NavierStokes

AI Conquers Weather Forecasting - Demis Hassabis on Lex Fridman

#weatherprediction #ai #googledeepmind