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#weatherprediction — Public Fediverse posts

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  1. I turned a Raspberry Pi into a tiny weather intelligence powerhouse

    A Raspberry Pi Zero 2 W paired with a Sense HAT V2 runs a fully self-contained, edge-native machine learning weather station with no cloud, GPU, or heavy ML frameworks. The system uses pure NumPy implementations of Recursive Least Squares, Kalman filtering, conformal prediction, and drift detection, staying under 150 MB RAM. The station continuously updates its own statistical model of local atmospheric conditions, produces calibrated uncertainty intervals, and renders animated forecasts on […]

    kemal.yaylali.uk/i-turned-a-ra

  2. I have a question 4 meteorologists here. Weather prediction seems way less reliable lately. For example 2 different well-known websites list temps 10 degrees apart. Even within a single website the home page says one temp but the hourly says something 7-10 degrees different for the exact same time. Last week a heavy rain shower popped up that wasn't shown on any website. What is going on? Is it lack of weather instruments due to defunding?something else? #weather #meteorology #WeatherPrediction

  3. 🚜 The Farmers' Almanac bids a tearful #goodbye by putting on a grand #circus of ads, subscriptions, and calendars you'd never use. Clearly, they're hoping you'll get lost in the clutter and accidentally buy something. 🎪 Who knew predicting the weather required this much spam? 🌧️📅
    farmersalmanac.com/fond-farewe #FarmersAlmanac #AdSpam #WeatherPrediction #ClutteredCalendars #HackerNews #ngated

  4. 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

  5. Convective storm detection (Storm 🌪️)

    Convective storm detection is the meteorological observation, and short-term prediction, of deep moist convection. DMC describes atmospheric conditions producing single or clusters of large vertical extension clouds ranging from cumulus congestus to cumulonimbus, the latter producing thunderstorms associa...

    en.wikipedia.org/wiki/Convecti

    #ConvectiveStormDetection #Storm #Tornado #StormChasing #RadarMeteorology #WeatherPrediction

  6. Researchers unveil Aardvark, an AI-powered weather prediction system that uses thousands of times less computing power and delivers results much faster than current methods. A game-changer for #AI and #WeatherTech! 🌦️ #AI #MachineLearning #WeatherPrediction #Innovation

  7. "NOAA Global Systems Laboratory, NOAA Physical Science Laboratory, The Cooperative Institute for Earth Systems Research in Environmental Sciences and Data Science, and NOAA Office of Science and Technology all provided financial support for the workshop."

    An intricate apparatus and national asset now being destroyed by obsessed simpletons.

    #WeatherPrediction

    journals.ametsoc.org/view/jour

  8. More than 40% of all tropical activity in a typical season occurs after September 10, so there’s plenty of precedent for storms 🌪️ edition.cnn.com/2024/09/06/wea

    #PolarisDawn #WeatherPrediction

  9. The rain forecast has been extremely unreliable lately. 100% predicted even hours away, then nothing.

    I think a lot of weather models take past weather patterns into account, and that just doesn't work in a world with climate change.

    #climatechange #weather #arkansasweather #weatherpatterns #weatherprediction #meteorology #climatecollapse

  10. Our #ECMWF machine learning weather forecast is public! 🌦️

    Right on time for the weekend, too!

    It's an alpha version for now, because the whole team is working hard to wrestle every iota of performance from our graph NN #AIFS.

    But even as an alpha version, it's playing in the big leagues.

    I am so excited to finally share this with you! 🚀

    I'll link our blog post and the forecast below. Make sure to share this with your colleagues and machine-learning-curious friends!

    Still can't believe how far these people have made it in this short time, running four machine learning models operationally, with one developed in-house.

    The Blog: ecmwf.int/en/about/media-centr

    Your Weekend forecast: charts.ecmwf.int/?facets=%7B%2

    More to come soon!

    #MachineLearning #AI #WeatherPrediction #MLOps

  11. I was wondering why #BigTech companies were pushing into #WeatherPrediction and #ClimateModelling, but this assessment by a Swiss official seems plausible.
    "Big Tech’s arrival on the weather forecasting scene is not purely based on scientific curiosity. [...] Our economies are becoming increasingly dependent on weather, especially with the rise of renewable energy. [...] Tech companies’ businesses are also linked to weather"
    technologyreview.com/2023/07/1

  12. The rise of machine learning in weather forecasting! ⛈

    We wrote a big science blog about the last year in AI & weather!

    How do we approach these rapid developments by NVIDIA, Huawei and even Google DeepMind?!

    Read about the last year in the context of AI for weather and what's ahead. We at the European Centre for Medium-Range Weather Forecasts put a bit of work in giving a really nice overview and running all the new open-source models for your convenience!

    Read the blog: ecmwf.int/en/about/media-centr

    Authors are: Matthew Chantry, Zied Ben Bouallègue, Linus Magnusson, Michael Maier-Gerber, and Jesper Dramsch.

    #WeatherPrediction #MachineLearning #python #DeepLearning #kaggle #career #tech #science #google #deepmind #nvidia #huawei

  13. reading my mystical weather divination cards and i am hopeful for rain tonight & the next few days!

    #FingersCrossed #WeatherPrediction #portents