Sentences with phrase «different climate model responses»

«The fact that there is a distribution of future climate changes arises not only because of incomplete understanding of the climate system (e.g. the unknown value of the climate sensitivity, different climate model responses, etc.), but also because of the inherent unpredictability of climate (e.g. unknowable future climate forcings and regional differences in the climate system response to a given forcing because of chaos).

Not exact matches

Moreover, similar answers were found in different climate models, suggesting that this is a very simple way of ascertaining some of the mechanisms that can explain climate system response to climate change.

«A deeper look at the differences between the different land surface and Earth system models may help better constrain the response of mid-latitude ecosystems to climate variability.»

Full - complexity Earth system models (ESMs) produce spatial and temporal detail, but an ensemble of ESMs are computationally costly and do not generate probability distributions; instead, they yield ranges of different modeling groups» semi-independent «best estimates» of climate responses.

The recent paper by Kate Marvel and others (including me) in Nature Climate Change looks at the different forcings and their climate responses over the historical period in more detail than any previous modelingClimate Change looks at the different forcings and their climate responses over the historical period in more detail than any previous modelingclimate responses over the historical period in more detail than any previous modeling study.

Some of them are optimal fingerprint detection studies (estimating the magnitude of fingerprints for different external forcing factors in observations, and determining how likely such patterns could have occurred in observations by chance, and how likely they could be confused with climate response to other influences, using a statistically optimal metric), some of them use simpler methods, such as comparisons between data and climate model simulations with and without greenhouse gas increases / anthropogenic forcing, and some are even based only on observations.

It is also robust to the use of different climate models, different methods for estimating the responses to external forcing and variations in the analysis technique.

Attribution analyses normally directly account for errors in the magnitude of the model's pattern of response to different forcings by the inclusion of factors that scale the model responses up or down to best match observed climate changes.

The climate fingerprints in response to different forcing factors are typically estimated with computer models, which can be used to perform the controlled experiments that we can not conduct in the real world.

Coupled simulations, using six different models to determine the ocean biological response to climate warming between the beginning of the industrial revolution and 2050 (Sarmiento et al., 2004), showed global increases in primary production of 0.7 to 8.1 %, but with large regional differences, which are described in Chapter 4.

In particular, two commonly used methods for converting cumulus condensate into precipitation can lead to drastically different climate sensitivity, as estimated here with an atmosphere — land model by increasing sea surface temperatures uniformly and examining the response in the top - of - atmosphere energy balance.

An estimate of the forced response in global mean surface temperature, from simulations of the 20th century with a global climate model, GFDL's CM2.1, (red) and the fit to this evolution with the simplest one - box model (black), for two different relaxation times.

Here, we introduce the Precipitation Driver and Response Model Intercomparison Project (PDRMIP), where a set of idealized experiments designed to understand the role of different climate forcing mechanisms were performed by a large set of climate models.

When imposing such orbital variations, climate models suggest different global - mean temperature responses.

[~ 17 model years](Motivation: Variation in the climate response across models will be a function of (a) different climate sensitivity in the GCMs, (b) different impact of aerosols on climate (due to location with respect to clouds, water uptake, natural aerosols, mixing, etc), and (c) different 3D constituent fields from the composition models.

To cover this vast amount of ground, it discusses, at a high level, subjects ranging from observations of various parts of the climate system and climate modelling to the limits of economic assessments, the different pathways of greenhouse gas emissions considered, adaptation response strategies and methods of mitigation that include everything from from taxing greenhouse gas emissions to removing carbon dioxide directly from the atmosphere.

To better assess confidence in the different model estimates of climate sensitivity, two kinds of observational tests are available: tests related to the global climate response associated with specified external forcings (discussed in Chapters 6, 9 and 10; Box 10.2) and tests focused on the simulation of key feedback processes.

They then used 34 different climate models to identify how the winds, and flight times, might have responded to climate variation, and how the response might continue.

Researchers investigated the response of Atlantic Meridional Overturning Circulation (AMOC) to the rise of atmospheric CO2 in the NCAR Climate System Model version 3, with the focus on the different responses under modern and glacial periods.

They are intended to be scenario simulations, illustrating the response of the climate system to a range of different emission scenarios, with all other factors (like volcanoes, solar, landcover) remaining the same (although some models are starting to put in interactive vegetation).