peteo Posted August 25, 2011 Share Posted August 25, 2011 So random thought that popped up reading about Irene: I'm wondering if any of the models go back and compare forecast conditions with observations to decide whether certain initializations were credible or had some long-term bias that could be corrected in future model runs? For example, it might be possible to determine if a given station is reporting temps that are not indicative of the general area if a +0.5 or +1C bias on that station during model initialization produces more accurate forecasts. Link to comment Share on other sites More sharing options...
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