Data-model comparison using fuzzy logic in paleoclimatology
نویسندگان
چکیده
منابع مشابه
Data-model comparison using fuzzy logic in paleoclimatology
Until now, most paleoclimate model-data comparisons have been limited to simple statistical evaluation and simple map comparisons. We have applied a new method, based on fuzzy logic, to the comparison of 17 model simulations of the mid-Holocene (6 ka BP) climate with reconstruction of three bioclimatic parameters (mean temperature of the coldest month, MTCO, growing degree-days above 5 3C, GDD5...
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ژورنال
عنوان ژورنال: Climate Dynamics
سال: 1999
ISSN: 0930-7575,1432-0894
DOI: 10.1007/s003820050301