Description of weather overlays
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Под каждым слоем как в цивилизованном мире нету краткого описания в контекстных меню?)
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I idefix37 referenced this topic on
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Here’s a concise, human-readable summary of the features:
Radar, Lightning: Displays weather radar and real-time lightning strikes, using different data sources but sharing a timeline for animated playback.
Wind: Shows average wind speed 10 meters above ground, with gusts computed for the last 3 hours and a 10-day accumulation map for maximum wind intensity.
Rain, Thunder: Displays rain/snow accumulation for the last 3 hours with a lightning density forecast.
Rain/Snow Accumulation: Forecasts total rain or snow accumulation over the next hours or days.
Snow Depth: Predicts snow depth, influenced by various factors like terrain and urban areas.
Precipitation Type: Indicates types of precipitation (rain, snow, sleet, etc.).
Thunderstorms: Counts lightning flashes per square kilometer per day.
Temperature: Shows temperature 2 meters above ground.
Dew Point: Temperature at which air moisture forms dew.
Humidity: Relative humidity 2 meters above ground.
Freezing Altitude: Altitude where temperature hits 0°C.
Wet Bulb Temperature: Lowest temperature via evaporative cooling, critical at 35°C.
Solar Power: Amount of solar radiation reaching the Earth's surface.
UV Index: Measures the sunburn-producing UV radiation strength.
Clouds: Shows cloud cover at different altitudes and their rain/snow accumulation.
Fog: Displays fog conditions, influenced by local factors.
Visibility: Measures how far objects or light can be clearly seen.
CAPE Index: Indicates potential energy for storm formation.
Thermals: Shows thermal activity and cumulus cloud occurrence.
Waves: Significant wave height and period, combining swell and wind waves.
Sea Temperature: Estimates sea surface temperature.
Currents: Displays surface sea currents.
Tidal Currents: Tidal movements influenced by Earth, sun, and moon.
CO Concentration: Carbon monoxide levels in the air.
Dust Mass: Concentration of dust particles in the air.
SO2 Mass: Sulfur dioxide concentration, often from volcanic activity or fossil fuels.
Ozone Layer: Total column of ozone, affecting UV radiation.
Soil Moisture: Amount of water available to plants in the soil.
Moisture Anomaly: Deviation of soil moisture from average levels.
Drought Intensity: Compares current soil water with historical levels for drought assessment.
Pressure: Atmospheric pressure at sea level.
Weather Warnings: Alerts from national weather agencies.
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Hi Moderator, i wanna ask you something.. can i get the raw data of precipitation prediction or nc file?
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I idefix37 referenced this topic on
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s there a description of Wind Accumulation? Seems like it would follow this description from above
"Rain accumulation: Total rain accumulation in the next hours or days."
But I am seeing it change for the path of Hurricane Florence southward along the South Carolina and Georgia coasts, which matches the spaghetti model's adjustments I've seen as well.
Is Wind Accumulation an indicating factor in those models I guess? Also is there a plan to add those as a layer to the Windy interface? -
Also is there a plan to add those as a layer to the Windy interface?
Wind accumulation is already available as a layer in Windy.
Layer w/customized colors
Wind accumulation is the max gusts field during a period of time (days / hours) as predicted by a weather model.
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Hola! Muchas gracias por este Post!
Aunque lo he leído todo, no acabo de encontrar la respuesta que busco.
No acabo de entender la capa del radar.
Hay veces que veo claramente como se emite o recibe las lecturas por las líneas rectas que salen desde la situación de un radar en cuestión dentro de su alcance, pero no siempre se ven estas lineas y no desde todos los radares, o unos días sí y otros no... ¿Hay alguna razón para ello? Si siempre están en funcionamiento los radares, al atravesar las ondas las partículas de agua de la atmósfera en ese espacio de lectura, ¿no deberían producirse siempre estas líneas? ¿Por qué unas veces aparecen y otras no? -
@Frohe
Hello, these long beams on the Radar layer are not normal. They are anomalies due to interference by WiFi sources encroaching on the radar frequencies due to a bad setting.
Same as
https://community.windy.com/topic/36512/strahler-um-posen-und-karlskrona-beim-wetterradar -
@idefix37 Thank you so much! I will have a look at the referred post! 🙏
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I idefix37 referenced this topic on
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Hola, buenas tardes,
no acabo de entender muy bien la capa de satélite y radar+. Veo que hay dos colores en las nubes, blancas y amarillas en el modo visible y me gustaría saber porqué y/o qué indica cada una, si están a diferente altura y cuál sería ésta para cada color.
Tampoco me queda muy claro qué mide la temperatura del satélite, ¿a qué altitud es? Porque normalmente a 11km ya hay unos -50 grados, aproximadamente...
Muchas gracias por adelantado por su respuesta! -
@Frohe
Hello,
White clouds are the highest and yellowish ones are the lowest.
The temperature displayed in the Satellite layer is the temperature of the cloud tops. The lower the temperature, the higher the cloud. This temperature comes from the infrared sensors of the satellites.
So it is shown also in the infrared layer (INF).
https://community.windy.com/topic/26588/temperaturskala-auf-dem-seite-satellit/2?_=1741542661507 -
Weather overlays are visual data layers on maps showing real-time and forecasted weather conditions. Common overlays include radar (showing rain, snow, hail via reflectivity), lightning (real-time strikes from community detectors), wind (average speed, gusts, accumulation), temperature, humidity, and precipitation type. Specialized overlays include CAPE index for storm potential, UV index, fog, cloud base/top, and sea conditions like waves, swells, currents, and sea temperature. These tools help users track storms, assess visibility, or monitor snow, rain, and solar power. Each overlay is derived from models or real-time data, offering valuable insights for weather analysis and planning activities.
