This study
evaluated past climate changes over the previous 65 million years, considering nearly two dozen investigations of many different geological time periods.
Not exact matches
The work of Schmittner et al. demonstrates that
climates of the
past can provide potentially powerful information to reduce uncertainty in future
climate predictions and
evaluate the likelihood of
climate change that is larger than captured in present models.
[Response: Well the discussion in the TAR is actually very clear about what can be
evaluated (current
climate conditions and variability,
past changes etc.) and the use of GCM projections of possible future
climates, and all of the apparently dramatic points made by Crichton are acknowledged and discussed there.
By putting the local
climate into the context of the larger picture, analyzing the uncertainties, and
evaluating the methods in terms of
past changes, I think that local
climate projections can provide useful information.
They ran an ensemble of simulations with a
climate model of intermediate complexity to
evaluate the causes of
past climate changes.
NIPCC scientists concluded the IPCC was biased with respect to making future projections of
climate change, discerning a significant human - induced influence on current and
past climatic trends, and
evaluating the impacts of potential carbon dioxide - induced environmental
changes on Earth's biosphere.
Evaluating past statistics, the panel concluded that predictable influences on
climate made for only relatively small
changes.
Given that the
past 30 — 50 years is a relatively short period for
evaluating long - term trends, the SST trends themselves could be viewed as a manifestation of large - scale modes of multidecadal Pacific variability (e.g. Zhang et al. 1997; Deser et al. 2004) or as part of the century scale positive SST trends associated with
climate change (e.g. Deser et al. 2010); it is likely that both multidecadal
climate variability and
climate change have contributed to the SST trend pattern evident in Fig. 9 and used to force the model.
As the Sun provides an explicit external forcing, a better understanding of its cause and effect in
climate change could help us
evaluate the importance of other
climate forcings (such as
past and future greenhouse gas
changes).
Models help us interpret
past and present
climate changes, and, in so far as they succeed in simulating
past changes, they provide a tool to help
evaluate the impacts of alternative policies that affect
climate.
The goal of PAGES» LandCover6k Working Group is to use pollen, archaeological and historical data to provide information on
past land cover and land use
change that can be used to evaluate and improve Anthropogenic Land - Cover Change (ALCC) scenarios for palaeoclimate modelling and the study of land - use as a climate fo
change that can be used to
evaluate and improve Anthropogenic Land - Cover
Change (ALCC) scenarios for palaeoclimate modelling and the study of land - use as a climate fo
Change (ALCC) scenarios for palaeoclimate modelling and the study of land - use as a
climate forcing.
The
climate feedbacks involved with these
changes, which are key in understanding the
climate system as a whole, include: + the importance of aerosol absorption on
climate + the impact of aerosol deposition which affects biology and, hence, emissions of aerosols and aerosol precursors via organic nitrogen, organic phosphorus and iron fertilization + the importance of land use and land use
changes on natural and anthropogenic aerosol sources + the SOA sources and impact on
climate, with special attention on the impact human activities have on natural SOA formation In order to quantitatively answer such questions I perform simulations of the
past, present and future atmospheres, and make comparisons with measurements and remote sensing data, all of which help understand,
evaluate and improve the model's parameterizations and performance, and our understanding of the Earth system.