The challenges of weather forecasting

One challenge is that weather is chaotic and unpredictable. So even  the best model can't even predict exactly what will happen. Another challenge is that weather condition con change rapidly and unexpectedly, so forecasting can become outdated quickly and finally, different weather models can produce different result. There can be uncertainty about which model is most accurate, despite this challenges, weather forecasting has become mush more accurate and reliable over time. 

Popular posts from this blog

HOW WEATHER FORECASTING HAS EVOLVED OVER TIME ♎️

In the past,  weather forecasting was based on observation and experience. But with advert of technology forecasting has become mush more accurate and detailed for instence scientist now use satallite and radars to track storms, computer are used  to ran complex weather models. Social media has made it so easier for people to share weather information in real time. 
Read more

IN ADDITION TO BEING USE FOR SHORT TIME FORCASTING

Weather models are also use for long lime predictions. One example is the seasonal forecast for EI Nino and LA Nina, those phenomenal are cause by changes in ocean temperature and they can a major impact on weather around the world. By predicting this event, scientist can help people to prepare for drought, flood and other  extreme weather event. 
Read more

EXAMPLES OF WEATHER FORECASTING CHALLENGE

One example is 2010 deep water horizon oil spill. Weather forecasting were crucial in helping to contain the spill and minimize its impact. Another example is hurricane sandy in 2012. Average forecast help to minimize the damage and save life, and finally the COVID 19 pandemic has show how weather can effect  public health. For instence some studies has show high  temperature and humidity con slow the spread of the virus. 
Read more