> Infrared satellite imagery can be used effectively for tropical cyclones with a visible eye pattern, using the Dvorak technique, where the difference between the temperature of the warm eye and the surrounding cold cloud tops can be used to determine its intensity (colder cloud tops generally indicate a more intense storm).[10] Infrared pictures depict ocean eddies or vortices and map currents such as the Gulf Stream which are valuable to the shipping industry. Fishermen and farmers are interested in knowing land and water temperatures to protect their crops against frost or increase their catch from the sea. Even El Niño phenomena can be spotted.
Local radar doesn't give condition more than about 100 miles off-shore. It becomes more difficult to figure out if there's a front or severe storm coming to land. Consider, for example, a small typhoon somewhere in the Pacific. https://en.wikipedia.org/wiki/Cyclone_Tracy was spotted by weather satellite on 20 December but wasn't seen on radar until 22 December. It hit on 25 December. With weather satellites, it's easier to route shipping and flights around a disturbance.
At some point it depends on what "deep dependence" means. It can easily be defined to make what you say be trivially true, and therefore uninteresting.
I would expect the volume of harvests to stay about the same, the number of fishermen to stay about the same and the number of flights to stay about the same.
There would likely be more lost crops and more accidents though (just not a huge percentage of lost crops or enough accidents to dissuade people).
> the value of weather and climate information itself has been shown to be relatively small as a percentage of the economy.[33] However, when dealing with weather and climate where each year billions of dollars of property is damaged and many lives are lost as a result of severe weather events, even a small improvement in predictive capability can add up to major savings.[34]
Where [33] is "A good review of some of the economic issues in measuring the value of weather information can be found in Molly K. Macauley, “Some dimensions of the Value of Weather information: general principles and a taxonomy of empirical approaches,” http://sciencepolicy.Colorado.edu/socasp/weather1/macauley.h...
That affirms 'Most estimates of the value of [weather prediction] information suggest that it is not large as a percentage of final output.'
> Infrared satellite imagery can be used effectively for tropical cyclones with a visible eye pattern, using the Dvorak technique, where the difference between the temperature of the warm eye and the surrounding cold cloud tops can be used to determine its intensity (colder cloud tops generally indicate a more intense storm).[10] Infrared pictures depict ocean eddies or vortices and map currents such as the Gulf Stream which are valuable to the shipping industry. Fishermen and farmers are interested in knowing land and water temperatures to protect their crops against frost or increase their catch from the sea. Even El Niño phenomena can be spotted.
Local radar doesn't give condition more than about 100 miles off-shore. It becomes more difficult to figure out if there's a front or severe storm coming to land. Consider, for example, a small typhoon somewhere in the Pacific. https://en.wikipedia.org/wiki/Cyclone_Tracy was spotted by weather satellite on 20 December but wasn't seen on radar until 22 December. It hit on 25 December. With weather satellites, it's easier to route shipping and flights around a disturbance.
Weather satellites are also used to identify new volcanic eruptions and route around their effects (http://www.sciencedaily.com/releases/2014/09/140926091334.ht...), and detect wind patterns over the ocean.
At some point it depends on what "deep dependence" means. It can easily be defined to make what you say be trivially true, and therefore uninteresting.