On the other hand, wind speeds in Seattle vary marginally, clocking a high of 5.3mph (8.5km/h) in March and a low of 3.5mph (5.6km/h) between July and August. In terms of sunshine, Seattle receives 10.7 hours per day on average during August, in contrast to December when daylight hours reduce to a mere 8.5 hours per day. A slight chance of rain before 11pm, then a slight chance of snow after 5am. Remarkably, despite being in a region known for its rainfall, the city observes just under nine days of rainfall on average per month, with the highest frequency in November at 9.1 days and the lowest in August at 2.8 days. Seattle, Seattle-Tacoma International Airport (KSEA) Lat: 47.44472°NLon. brings you the most accurate monthly weather forecast for Chicago. Furthermore, rainfall observes a contrasting pattern, with the minimal amount occurring in July and August 0.12" (3mm), while the maximum precipitation of 0.87" (22mm) happens in December. The percentage of relative humidity in Seattle also differs considerably over the year, starting from 69% in July and reaching a peak of 85% in January. Meanwhile, average low temperatures fluctuate from 35.1☏ (1.7☌) in December to 54☏ (12.2☌) in August. Average high temperatures over the year range from 43.7☏ (6.5☌) in December to 76.3☏ (24.6☌) in August. The city's location has a notable influence on the variation in weather parameters throughout the year. Hovering the time series with the cursor will show the minimum, maximum and mean vaules of the ensemble and the result of the main run.Seattle, Washington, is designated under the Köppen climate classification as Csb, which signifies a Mediterranean climate with warm summers. Because there are more potential forecast outcomes as you head farther out into the future, ensembles become especially useful after Day 4 or 5. Different ensemble systems have different numbers of ensemble members and the more ensemble members there are, the better the forecast will be as it will take into account a wider range of possibilities. If the ensembles disagree, it’s wise not to put too much confidence in one outcome or another. If all, or almost all, the ensemble members agree on a particular outcome, you can have high confidence that that outcome will occur. Ensembles are a great tool for gauging uncertainty in a forecast. Each one of these ideas will create its own outcome, known as an ensemble member. Ensembles attempt to fix this problem by starting the model with a bunch of ideas of what the atmosphere could be doing right now. Any small error in the weather model initially due to this gap in observation is compounded exponentially out through time due to chaos. Because we can’t observe every tiny bit of air in our atmosphere, our picture of the weather currently is incomplete.
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