Sentences with phrase «climate models for»

The climate scientists didn't use climate models for the study but instead turned to observations, combining two techniques: Kriging and linear regression.

It is a family of regional climate models for a growing number of regions around the world.

A graduate - level course on the hands - on use of climate models for understanding climate processes.

The Geophysical Fluid Dynamics Laboratory (GFDL) has developed and uses atmospheric and climate models for improving the understanding and prediction of hurricane behavior.

Studying the permafrost carbon feedback is at once exciting (because it has been left out of climate models for so long) and terrifying (because it has the potential to be a real game - changer).

By using results obtained from climate models for 1995 - 2024; they found that summer temperatures that were extreme during 1950 - 1979 occur more often in the later time period.

Some of the previous discussion seemed to confuse two types of linearity (a) climate models for which temperature depends linearly on ln (CO2); (b) CO2 time histories for which ln (CO2 / CO2ref) increases linearly with time.

As a partner of the Gauss - Alliance (GA), on 21st June, DKRZ employeesgave talks on the scalability of climate models for the example of HD (CP) 2 and on the improvement of in - and output at tth GA booth DKRZ A-1414.

«More famously, the Intergovernmental Panel on Climate Change (IPCC) report (21) shows the spread among climate models for global warming predictions.

The hope, and the potential, of climate models for providing credible regional climate change scenarios have not been realized.

say it has been predicted that «the average temperature in the semiarid northwest portion of China in 2050 will be 2.2 °C higher than it was in 2002,» and they report that based on the observed results of their study, this increase in temperature «will lead to a significant change in the growth stages and water use of winter wheat,» such that «crop yields at both high and low altitudes will likely increase,» by 2.6 % at low altitudes and 6.0 % at high altitudes... Even without the benefits of the aerial fertilization effect and the anti-transpiration effect of the ongoing rise in the air's CO2 content, the increase in temperature that is predicted by climate models for the year 2050, if it ever comes to pass, will likely lead to increases in winter wheat production in the northwestern part of China, not the decreases that climate alarmists routinely predict.»

The objective of improving climate models for societal needs is based upon three dubious premises: • climate models are fit for this purpose • climate models are useful for this purpose • climate models are the best choice for this purpose

In this case the Sun could make a difference of about 0.5 °C in the surface temperatures now projected by consensus climate models for doubled concentrations of CO2.

The objective of improving climate models for societal needs is based upon three dubious premises:

b) failure of the climate models to predict a > 17 year plateau raises questions about the suitability of the climate models for detection and attribution analyses, particularly in terms of accounting adequately for multidecadal modes of climate variability...

Forster P. M., T. Richardson, A. C. Maycock, C. J. Smith, B. H. Samset, G. Myhre, T. Andrews, R. Pincus and M. Schulz (October 2016): Recommendations for diagnosing effective radiative forcing from climate models for CMIP6.

Actually this was «climate models for lawyers» written for a different purpose.

4) To top it off, they use down scaling of climate models for the U.S. Any of us can read about the failure of down - scaling attempts.

The climate models for the 20th century basically look like a ramp that turns up at the end of the century and continues rising in the 21st.

Kai — Your comment is best addressed by someone who actually constructs climate models for a living.

I don't know if oil companies use climate models for «predicting source rock distributions for oil and gas exploration.

And you're not disputing I think that it was the only paper selected (rightly or wrongly) that did not rely on climate models for its sensitivity calculation.

The simulated sea surface temperature variability from two global coupled climate models for the second half of the 20th century is dominated by natural internal variability associated with the Antarctic Oscillation, suggesting that the models» internal variability is too strong, leading to a response to anthropogenic forcing that is too weak.

«CLIMATE MODELS for the layman» (PDF), The Global Warming Policy Foundation.

An objective - feature tracking algorithm is used to identify and track cyclones from 23 CMIP5 climate models for the recent past (1981 — 1999) and future (2081 — 2099).

Until recently, we didn't have the technology or climate models for it to even be an option.

In order to test and approve climate models for simulation and prediction of Arctic climate and sea ice cover8, 20,21,22,23,24,25,26,27,28, however, precise (semi-quantitative) proxy records about past sea ice concentrations are needed.

Also included in the figure (black circles) is the average trend in surface temperatures produced by a collection of climate models for the same intervals.

the dirty little secret is that there is still no way to test the IPCC climate models for their feedback behavior,... The very fact that the 20 + climate models the IPCC tracks still span just as wide a range of feedbacks as climate models did 20 years ago is evidence by itself that the climate community still can't demonstrate what the real cloud feedbacks in the climate system are....

The «The model simulated each glacier from 1980 to 2100, using observed weather conditions for the past and a number of climate models for the future.»

The model simulated each glacier from 1980 to 2100, using observed weather conditions for the past and a number of climate models for the future.

I also liked the sensitivity analysis of solving climate models for prediction.

For me that goes both ways: I don't trust climate models for one cent (I have some experience with models in chemical processes).

The fact that the Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble mean accurately represents observed global OHC changes [Cheng et al., 2016] is critical for establishing the reliability of climate models for long - term climate change projections.

Climate model simulations are being used as the basis for international climate and energy policy, so it is important to assess the adequacy of climate models for this purpose.

Regional climate models rely on global climate models for their boundary conditions.

One of the strongest opponents I know of this appropriation of climate models is the preeminent expert in numerical analysis and dynamical systems, Chris Essex, who himself worked on climate models for years.

Scientists that evaluate climate models, develop physical process parameterizations, and utilize climate model results are convinced (at least to some degree) of the usefulness of climate models for their research.

So an acceptable performance of most global climate models for the past is almost guaranteed.

by Judith Curry This post discusses Workshop presentations on the utility of climate models for regional adaptation decisions.

I've spent the past few months writing another set of exams (only one more year to go), building and documenting two simple climate models for term projects (much more on that later), and moving to Australia!

The IPCC climate models for the temperature development have been way too high with their estimation as the comparison of the model calculations to the real, observed development recorded by satellite for January 2001 to Juni 2016.

Figure 6: Easterbrook's two global temperature projections A (green) and B (blue) vs. the IPCC TAR simple model projection tuned to seven global climate models for emissions scenario A2 (the closest scenario to reality thus far)(red) and observed global surface temperature change (the average of NASA GISS, NOAA, and HadCRUT4)(black) over the period 2000 through 2011.

This uncertainty is attributable to the inadequate resolution of climate models for resolving the small - scale turbulent dynamics of MBL clouds.

The papers questioned everything from the relative role of natural mechanisms in changes to the climate system vis - à - vis increased CO2 concentrations, the allegedly «unprecedented» nature of modern climate phenomena such as warming, sea levels, glacier and sea ice retreat, and the efficacy and reliability of computer climate models for projecting future climate states.

As some, the Creative Department at Porter Novelli, for example, have been putting a credible face on climate models for 21 years or more, the scientific input may be secondary, for as was remarked even earlier, with the advent of television, advertising has become more important than products.

The main problem I have with Michaels is while he reasonably points out the limitations of climate models for forecasting the next one hundred years, he then confidently makes his own forecast of warming continuing at the same rate as for the last thirty years, leading to a 2 degree increase in global temperature.

I've been reading about climate models for 20 years.

It is easy to pick on computer climate models for not simulating certain things or point out the odd measurement that isn't well understood.

Although there is still some disagreement in the preliminary results (eg the description of polar ice caps), a lot of things appear to be quite robust as the climate models for instance indicate consistent patterns of surface warming and rainfall trends: the models tend to agree on a stronger warming in the Arctic and stronger precipitation changes in the Topics (see crude examples for the SRES A1b scenarios given in Figures 1 & 2; Note, the degrees of freedom varies with latitude, so that the uncertainty of these estimates are greater near the poles).