For this, you would need to find a weather station, but it would have to be at the exact spot, not several kilometres away, which is rarely possible. Variable data can be measured directly in the field (e.g., at a weather station) or calculated by climate models. Simulation data cannot capture the exact timing and intensities of isolated extreme weather events.
If you want to know if on the 22nd of February 1992, there was a local thunderstorm with 100 mm of rain and winds over 80 km/h, unfortunately this will not be possible. The service allows you to regularly download current weather, weather forecasts and their 7-day archives in JSON or CSV format. Track daily forecasts and receive live radar updates, storm alerts, & local precipitation updates. With extreme weather on the rise, prepare yourself for storms, hurricanes & wildfires.
Download the KML and open in Google Earth or Google Earth for Chrome. The Weather Channel is the World's Most Accurate Forecaster. However, even for those locations and time periods, you can easily analyse trends over the years, seasons, months, weeks, or even day-to-day changes, always taking into account that there may be biases in the absolute values. TMYx files are typical meterological data derived from hourly weather data through. in narrow valleys or on mountain tops, cannot be captured accurately, and between 19, data accuracy might be lower due to the absence of satellite observations in this period.
Step 4 Choose a Forecast Time Period The first thing to understand is that Visual Crossing’s Query Builder uses the Timeline API. The data have a spatial resolution of 4 to 30 km, depending on location and period. The simple steps we will take are: 1) provide location (done), 2) provide historical time window & finally 3) download the data which has a few options for us.
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