The study didn't explore anything like full ranges of
key climate parameters: equilibrium climate sensitivities below 2 K were not included in the ensemble, only a limited range of ocean heat uptake levels appears to have been considered, and it is unclear to me to what extent the possibility of aerosol forcing being small was represented.
magnitude of the changes and the actual variations in
key climate parameters (in space and time) are difficult to predict with accuracy (Sundquist and Broecker, 1985).
The two
key climate parameters are ablation season temperature and accumulation season precipitation.
I contacted you last summer about the failure by Dr Chris Forest to provide requested data and computer code used in Forest 2006, an observationally constrained study of
key climate parameters.
Key climate parameter assumptions
Not exact matches
However, in a new paper published in Proceedings of the National of Sciences USA (PNAS) scientists from the University of Helsinki, Faculty of Science, show that
key environmental
parameters, namely
climate - related primary productivity, biodiversity, and pathogen stress have strong influence on the global pattern of population densities of ethnographically documented hunter - gatherers.
This module will ensure accurate, consistent, comparable, regional scale, long ‐ term measurements of ocean
parameters, which are
key to addressing urgent societal and scientific challenges such as
climate change, ocean ecosystem disturbance, and marine hazards.
Ongoing measurements of anthropogenic CO2, other gases and hydrographic
parameters in these
key marginal seas will provide information on changes in global oceanic CO2 uptake associated with the predicted increasing atmospheric CO2 and future global
climate change.
Since sensitivity is such a
key parameter in
climate change, the whole online
climate community will be sharper overall thanks to you and Andreas and your coauthors and the resulting discussions, and this sharpness will filter out to all the people we communicate with.
For many
key parameters, the
climate system is already moving beyond the patterns of natural variability within which our society and economy have developed and thrived.
In recent years one of the most important methods of estimating probability distributions for
key properties of the
climate system has been comparison of observations with multiple model simulations, run at varying settings for
climate parameters.
Since we very plainly stated the official values of all
key parameters and explained the fact of and reasons for any departures we had made from those official values in our own determination of
climate sensitivity, the entire process was fully transparent, allowing any reader of our paper to substitute his or her own choice of
parameter values for ours.
The
key is to redo their work, use a series of models with a wide range of
climate sensitivity
parameters... you know what to do.
The most popular observationally - constrained method of estimating
climate sensitivity involves comparing data whose relation to S is too complex to permit direct estimation, such as temperatures over a spatio - temporal grid, with simulations thereof by a simplified
climate model that has adjustable
parameters for setting S and other
key climate properties.
The quantitative analysis in this report is based upon the
Climate Equity Reference Calculator, an online tool and database that allows the user to select «equity settings» relating to
key equity - related
parameters, including responsibility, capacity, and development need.
Climate sensitivity is a
key parameter to assess the severity of the global warming issue.
1) Show us the past literature where clear discernible, unambiguous predictions about the trajectory of all important
climate variables such as «global temperature», «global sea level», «global rain fall», «global severe weather events» and other
key «global
climate»
parameters were made.
For example, all estimates of government revenue and outgo depend on some sort of economic model, which superficially have the same weaknesses as
climate models: validation issues, adjustable
parameters, some
key processes (convection, precipitation, human behavior) can't be reliably modeled.
(ii) those using simpler
climate models whose
key parameters are intended to be constrained as tightly as possible by observations, to
Climate sensitivity is a
key parameter.