Podcast #128: We chat with Kent C Dodds about why he loves React and discuss what life was like in the dark days before Git. Listen now.

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How things feel is partly psychological and often doesn't have a purely physical explanation. If you run a hot bath and the water from the tap starts to feel tepid, plunge your hand into the very hot water with which the bath is filled. Hold it there for a minute or two, then put it under the tepid tap. The water will feel stone cold, though when tested with ...

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Summarizing what I wrote in the comments 1) The monsoon does not start off in the Arabian Sea. There is actually a cross equatorial gradient that drives winds from the Southern Indian Ocean into the Northern Indian Ocean and then into the Arabian Sea. 2) There is also a second branch of the Indian monsoonal winds and that is the Bay of Bengal branch. This ...

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WRF is using the sigma (terrain-following) vertical coordinate. However, as @gansub has already referred, in WRF V3.9 you can now select a hybrid sigma-pressure vertical coordinate. The advantage of this is that the coordinate is terrain-following near the surface, but it 'converts' to pressure levels at higher levels, which improves the accuracy of the ...

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There is no such simple relationship between rainfall and runoff (I wish there was!). How much of the rainfall ends up as runoff depends upon at least the following variables: temperature, humidity, wind-run, hours per day of bright sunshine, latitude, altitude, type and density of vegetation cover, soil type, thickness and consistency, antecedent ...

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When we say there was 1 mm (or 0.001 m) of rain, it is assumed that it is on a 1 square meter area, so it is equivalent to a volume of water of 0.001 m3 (or one liter). So first you have to divide your data by 1000. Then you have time, which is easy: there are 3600 seconds in one hour. So to convert L/h in m$^3$/s, you have to divide your data by 3,600,000: ...

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Here are some cities and locations Average Annual Snowfall for the Following Cities and Locations (in inches) Asheville, North Carolina: 9.9” Waynesville, North Carolina: 14.1” Milwaukee, Wisconsin: 46.9” Madison, Wisconsin: 50.9” Syracuse, New York: 123.8” Buffalo, New York: 94.7” Smugglers Notch, Vermont: 59.8” Burlington, Vermont: 59.8” Mount ...

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You can build a machine learning algorithm with skill but you will need several parameters such as day of year, time of day, cloud cover, wind speed, and precipitation. However, keep in mind that your algorithm will need to be trained on several years of previous data. For projects like this, you typically want about 5 years of observations to "train" the ...

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