Climate Modeling Failure: IPCC Models Unable Predict The Major 'Siberian High' Climatic Condition
Climate modeling failure remains a major embarrassment for the UN's IPPC's "climate science" efforts - this time their models failed at predicting the 'Siberian Highs' that dominate Northern Hemisphere weather
Read here. The 'Siberian High' (SH) is a major winter condition that drives much of the weather conditions throughout the Northern Hemisphere. It is a natural high pressure atmospheric climate phenomenon that varies from year to year, located principally across the Eurasian land mass.
The IPCC's climate modeling systems predicted that global warming would cause a significant reduction in the intensity of the SH. However, new peer reviewed research proves that the climate models were wrong - over the last two decades the SH intensity increased.
"In a study designed to determine to what degree the temporal SH intensity simulations of these models mimic reality, Jeong et al. employed two observational gridded sea level pressure (SLP) data sets...the seven scientists revealed "a pronounced declining trend of the SH intensity from the late 1960s to the early 1990s," which would appear to mesh well with GCM simulations presented in the IPCC AR4...However, they report that in the real world, the declining SH intensity trend "was sharply replaced by a fast recovery over the last two decades." And they thus make a strong point of noting that "this feature has not been successfully captured by the GCM simulations..."an improvement in predicting the future climate change in regional scale is desirable."" [Jee-Hoon Jeong, Tinghai Ou, Hans W. Linderholm, Baek-Min Kim, Seong-Joong Kim, Jong-Seong Kug, Deliang Chen 2011: Journal of Geophysical Research]
Conclusion: Climate modeling failure is the standard operating procedure for the immensely expensive virtual simulations that the IPCC and associated climate agencies have poured billions into. They remain unable to provide accurate predictions that policymakers can rely on.