My thing is modeling. How do you get forecasters to use more of the tools? And will these tools actually help them? Cause they have to learn the models to use them, and use them often to learn them. Then we get to figure out if any of that was worth it.
Dr Jimmyc
A weather, education, and science blog run amok. Brought to you by James Correia, Jr., PhD. I have a BS from SUNYA in Atmospheric Sciences, MS from FSU in Meteorology, and a PhD from ISU in Agricultural Meteorology. I specialize in mesoscale numerical weather prediction on scales larger than 4km for both forecasting and regional climate. The views expressed here do not reflect those of NOAA, the NWS, or the University of Oklahoma.
Saturday, February 17, 2018
Wednesday, February 15, 2017
Friday, February 3, 2017
Reflection on 26 April 2016
Some reflections on "busted" forecasts and some quotes from the Bosart Symposium.
Monday, October 17, 2016
Sensitivity and the poor forecasts that follow
I want to ask a different question. Why are we having these struggles in forecasting? Why are these models so sensitive as to make poor forecasts?
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