r/meteorology

Hello, everyone!

I work at a museum specializing in the history of Hurricane Katrina and we've had a significant increase in school groups of all ages coming to visit us over the past year (outside of this, our guests tend to be older adults). We're excited to teach the next generation about the impact of this storm on our area, but since none of us have a background in education (or meteorology) and this demographic doesn't fit well with the materials we already have here (very reading heavy exhibits, and at an adult reading level) we have been struggling to find a way to present this information to our younger visitors in a way that will get them interested and engaged.

Do any of you know of some good resources we can use to develop a curriculum for teaching kids about hurricanes (even better if they have to do with Katrina or Camille)? We have groups ranging from elementary to high school age. We do have some activity books from our local emergency management agency and a few children's books about hurricanes but any guides on how to give tours that are easy to understand and engaging for younger kids (5-11) would be a huge help! We've found that they are most interested in the science of storms. Documentaries/educational films tailored towards younger kids are a huge plus, too! The best I can find at the moment is Magic School Bus and some assorted Youtube videos about hurricanes.

Thanks, everyone! And if anyone wants more info about our museum, please feel free to message me - we LOVE weather experts and are always looking to collaborate.

https://preview.redd.it/48xb70dl9dug1.png?width=1790&format=png&auto=webp&s=a223c6bea35b2184cef39a562e2019b2df9a6519

I was looking at the weather for the central valley in California today, and is this a pretty strong thunderstorm signal! Does anybody know if this supports severe storms?

Hello guys! I’m going to analyse a dataset which will be applied in my weather forecasting machine learning model. The variables the dataset holding are below. Is there any other derived variables i could add in, to help the dataset more meteorologic professional. And i suppose if i stuff the decent variables into my model, it would perform better. Any advice?

variables=[
    'temperature_2m',
    'relative_humidity_2m',
    'dew_point_2m',
    'apparent_temperature',
    'pressure_msl',


    'cloud_cover',
    'cloud_cover_low',
    'cloud_cover_mid',
    'cloud_cover_high',


    'wind_speed_10m',
    'wind_direction_10m',
    'wind_gusts_10m',


    'shortwave_radiation',
    'direct_radiation',
    'diffuse_radiation',
    'global_tilted_irradiance',
    'vapour_pressure_deficit',
    'cape',
    'evapotranspiration',
    'et0_fao_evapotranspiration',


    'precipitation',
    'snowfall',
    'rain',
    'showers',
    'visibility',
    'is_day',
]