DA PS - Paleoclimate Reanalyses, Data Assimilation and Proxy System modeling
نویسندگان
چکیده
منابع مشابه
Paleoclimate Modeling, Pre-quaternary
Introduction Pre-Quaternary paleoclimate modeling is the science of simulating climate change over the earliest 99.9% of Earth’s history using numerical models of the climate system. The record of pre-Quaternary climate documents enormous climate swings with global ice-covered and ice-free end members. A number of climate factors shaped Quaternary and pre-Quaternary paleoclimate on timescales r...
متن کاملData Assimilation in Reduced Modeling
This paper considers the problem of optimal recovery of an element u of a Hilbert space H from measurements of the form `j(u), j = 1, . . . ,m, where the `j are known linear functionals on H. Problems of this type are well studied [18] and usually are carried out under an assumption that u belongs to a prescribed model class, typically a known compact subset of H. Motivated by reduced modeling ...
متن کاملProgress in Paleoclimate Modeling*
This paper briefly surveys areas of paleoclimate modeling notable for recent progress. New ideas, including hypotheses giving a pivotal role to sea ice, have revitalized the low-order models used to simulate the time evolution of glacial cycles through the Pleistocene, a prohibitive length of time for comprehensive general circulation models (GCMs). In a recent breakthrough, however, GCMs have ...
متن کاملPaleoclimate Modeling, Pre-quaternary
Introduction Pre-Quaternary paleoclimate modeling is the science of simulating climate change over the earliest 99.9% of Earth’s history using numerical models of the climate system. The record of pre-Quaternary climate documents enormous climate swings with global ice-covered and ice-free end members. A number of climate factors shaped Quaternary and pre-Quaternary paleoclimate on timescales r...
متن کاملProxy inconsistency and other problems in millennial paleoclimate reconstructions.
Mann et al. (1) present two paleoclimate reconstruction methods [‘‘error-in-variables’’ (EIV) and ‘‘composite plus scale’’ (CPS)], claiming statistically significant skill for both. Their figure 3 reveals that from approximately 750 to 1100, the CPS 95% confidence interval excludes the EIV 95% confidence interval and vice versa. This is evidence not of skill, but of inconsistency. Contrary to a...
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ژورنال
عنوان ژورنال: Past Global Change Magazine
سال: 2016
ISSN: 2411-605X,2411-9180
DOI: 10.22498/pages.24.2.74