Sentences with phrase «other climate sensitivity studies»

Forest 2006, along with several other climate sensitivity studies, used simulations by the MIT 2D model of zonal surface and upper - air temperatures and global deep - ocean temperature, the upper - air data being least influential.

Not exact matches

Several studies have put the lower bound of climate sensitivity at about 1.5 °C, on the other hand, several others have found that a sensitivity higher than 4.5 °C can't be ruled out.

It is important to regard the LGM studies as just one set of points in the cloud yielded by other climate sensitivity estimates, but the LGM has been a frequent target because it was a period for which there is a lot of data from varied sources, climate was significantly different from today, and we have considerable information about the important drivers — like CO2, CH4, ice sheet extent, vegetation changes etc..

d Explores IPCC TAR range of climate sensitivity (i.e., 1.5 °C to 4.5 °C), while other studies explore wider ranges

Other AgMIP initiatives include global gridded modeling, data and information technology (IT) tool development, simulation of crop pests and diseases, site - based crop - climate sensitivity studies, and aggregation and scaling.

Based on many studies covering a wide range of regions and crops, negative impacts of climate change on crop yields have been more common than positive impacts (high confidence)... Since AR4, several periods of rapid food and cereal price increases following climate extremes in key producing regions indicate a sensitivity of current markets to climate extremes among other factors (medium confidence).

«The closest match, with a much lower degree of uncertainty than most other studies, suggests climate sensitivity is about 2.4 degrees.»

The IPCC range, on the other hand, encompasses the overall uncertainty across a very large number of studies, using different methods all with their own potential biases and problems (e.g., resulting from biases in proxy data used as constraints on past temperature changes, etc.) There is a number of single studies on climate sensitivity that have statistical uncertainties as small as Cox et al., yet different best estimates — some higher than the classic 3 °C, some lower.

The first paper adds to the literature pointing to humans as the dominant cause of warming since 1950, but also finds that the sensitivity of the climate system to the greenhouse - gas buildup could be lower than some other recent studies found.

Since none of the four models considered by the Mediterranean study consistently out - performed the others in simulating present - day climate, the researchers combined their results to produce a single composite scenario for each climate variable.2 To prevent the GCM with the greatest sensitivity from dominating the scenarios, they first had to standardise the model results.

His study and other recent research, he said, suggests that «we may need to go back and start recalculating the climate sensitivity estimates for the earth.»

Given the vast array of data from other studies, Dr. Alley thinks that it is «much too early to assume that the climate sensitivity is low.»

We emphasize that our study uses sensitivity experiments, which do not include other important processes found in coupled climate models (e.g., ocean dynamics).

Yes, these empirical studies (and others that do not make assumptions or set constraints that necessarily lead to large climate sensitivities, constitute a body of evidence that the climate sensiitivity is about 1 deg C for doubling, 1/3 of the IPCC «central» value.

Me neither, as the study involved is the only one that has attempted to derive climate sensitivity from actual observation, which gives it far more weight than the others.

Tom, The other studies featured in Figure 9.20 mainly use simpler climate models than AOGCMs — models in which climate sensitivity S can be adjusted to known values using a single parameter.

13.2.1 Incremental Scenarios for Sensitivity Studies 13.2.2 Analogue Scenarios 13.2.2.1 Spatial analogues 13.2.2.2 Temporal analogues 13.2.3 Scenarios Based on Outputs from Climate Models 13.2.3.1 Scenarios from General Circulation Models 13.2.3.2 Scenarios from simple climate models 13.2.4 Other Types of ScClimate Models 13.2.3.1 Scenarios from General Circulation Models 13.2.3.2 Scenarios from simple climate models 13.2.4 Other Types of Scclimate models 13.2.4 Other Types of Scenarios

Other studies (Forest et al. 2002; Knutti et al. 2003) have assumed a prior that is uniformly distributed in equilibrium climate sensitivity, which is proportional to 1 / Y.

The study estimates climate sensitivity — how much the world will warm when carbon dioxide levels increase * — from changes in observed temperatures and estimates of the warming effect of greenhouse gases and other drivers of climate change, from the mid / late 19th century until 2016.

2) Other studies are confirming a low climate sensitivity to CO2 doubling around 1 C, as the recent paper by Spencer.

Skeptics often advance estimates of climate sensitivity from studies of the instrumental period (roughly the last ~ 150 years) over other methods.

«What would we estimate climate sensitivity to be, if we had no information other than that considered by this study.»

On the other hand, in the SMEs with relatively high climate sensitivity (about 4 — 10 K), or the SMEs with relatively low climate sensitivity (about 2 — 3 K) compared to the studies in the literature, SW and LW radiation and cloud radiative forcing are not reliable.

Antonio, While it is true that there are large uncertainties in climate studies of sensitivity, some methods are more justified than others.

Some EMICs have been used to investigate both the climate of the last glacial maximum (see Section 8.5) as well as to investigate the cause of the collapse of the conveyor in global warming experiments (Stocker and Schmittner, 1997; Rahmstorf and Ganopolski, 1999) while others have been used to undertake a number of sensitivity studies including the role of sub-grid scale ocean mixing in global warming experiments (Wiebe and Weaver, 1999).