Sentences with phrase «term climate change predictions»

Not exact matches

Armed with these tools, Zeebe was able to make new predictions about long - term future climate change.

And ten years after his testimony, he said that the forces that govern climate change are so poorly understood that long - term prediction was IMPOSSIBLE.

For is it not true that the IPCC is comprised of a wide range of scientist and they all must agree on the content of their reports, that some of said scientists are either on the payroll of oil - dependent nations or are politically conservative, and that the IPCC predictions have consistently underestimated the effects of climate change in terms of temperature rise, sea level rise, ice cap diminution, etc..?

Re # 104 — «Well, weather prediction is much less certain than climate prediction, since even small «butterflies beating their wings in South America» can effect change in short - term atmospheric processes.»

Well, weather prediction is much less certain than climate prediction, since even small «butterflies beating their wings in South America» can effect change in short - term atmospheric processes.

Accurate long - term scientific predictions require conserved quantities: in solar system dynamics this conserved quantity is dynamical energy; in Hansen's climate - change theory it is thermal energy.

In terms of climate change model predictions, there is a high degree of uncertainty in both regions as to what comes next in an anthropogenic climate change scenario.

Comparing model predictions of GHG - induced warming with recent natural temperature fluctuations also indicates the potential scale of man - made climate change.Early modelling experiments focused on the total long - term change resulting from a doubling of carbon dioxide (CO2) levels.

Sea surface temperature (SST) measured from Earth Observation Satellites in considerable spatial detail and at high frequency, is increasingly required for use in the context of operational monitoring and forecasting of the ocean, for assimilation into coupled ocean - atmosphere model systems and for applications in short - term numerical weather prediction and longer term climate change detection.

Additionally, the observed surface temperature changes over the past decade are within the range of model predictions (Figure 6) and decadal periods of flat temperatures during an overall long - term warming trend are predicted by climate models (Easterling & Wehner 2009).

A top - down climate effect that shows long - term drift (and may also be out of phase with the bottom - up solar forcing) would change the spatial response patterns and would mean that climate - chemistry models that have sufficient resolution in the stratosphere would become very important for making accurate regional / seasonal climate predictions.

These predictions are very relevant to business and policy - makers who will be able to respond to short - term climate change when making decisions today

In its 2001 report, the Intergovernmental Panel on Climate Change admitted that long - term climate prediction is not poClimate Change admitted that long - term climate prediction is not poclimate prediction is not possible.

For instance, T. Palmer, a scientist at the European center for medium - range weather forecast, writes in the journal «Weather» that climate predictions using GCMs could be grossly misleading because the computer simulations may be unable to accurately predict long - term changes in the frequency of weather patterns.

The 2001 Intergovernmental Panel on Climate Change (IPCC) Report that governments accept as certain predictions of future weather says, «In climate research and modeling, we should recognize that we are dealing with a coupled non-linear chaotic system, and therefore that the long - term prediction of future climate states is not possible.Climate Change (IPCC) Report that governments accept as certain predictions of future weather says, «In climate research and modeling, we should recognize that we are dealing with a coupled non-linear chaotic system, and therefore that the long - term prediction of future climate states is not possible.climate research and modeling, we should recognize that we are dealing with a coupled non-linear chaotic system, and therefore that the long - term prediction of future climate states is not possible.climate states is not possible.»

However, calling it by its proper name, carbon fertilization, would be like discussing global warming predictions while using the specific term CAGW rather than «climate change» and so admitting that global cooling is contradictory: not sufficiently dishonest.

I don't believe that we can make long - term predictions about climate change when we are still unable to make solid predictions about the short term, dynamic behavior of the electric power grid.

The measurement of long - term changes in global mean sea level can provide an important corroboration of predictions by climate models of global warming.

In terms of prediction, there is little reason to think that response of the climate to CO2 will change dramatically in the future.

Ault and his colleagues used this index in combination with global climate models to create long term predictions of how spring onset dates will change in the coming decades.

The current rate of environmental change is much faster than most climate changes in the Earth's history, so predictions from longer term geological records may not be applicable if the changes occur within a few generations of a species.

«In terms of how we should think about climate change prediction in the future, reducing emissions and so on, it really wouldn't make much of a difference.»

That long term is what climate change predictions are about.

It was not about climate change at all — it was simply about the utter futility and absurdity of trying to make long - term predictions in chaotic systems with more unknowns than knowns..

In other words, weather really isn't a reliable indicator of long - term climate trends — but that isn't going to stop Walsh and his ilk from making sweeping predictions and (which is much more important) insisting upon sweeping policy changes just in case they turn out to be right one of these millennia.

It is like when Judith focuses on the lack of money for stabilizing and modernizing our capacity for longer - term weather prediction — by pointing to the money spent on studying climate change — as if that were the problem.

Yet most research in the field has focused on improving predictions of regional ocean warming driven by long - term climate change and short - term climate patterns like the El Niño - Southern Oscillation cycle.

The results of the DCPP are a contribution to the 6th Coupled Model Intercomparison Project (CMIP6), to the WCRP Grand Challenge on Near Term Climate Prediction (NTCP), potentially to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC), to the Global Framework for Climate Services (GFCS), and as one of the bases for the development of a WMO Commission for Basic Systems (CBS) Global Decadal Climate Outlook (GDCO) in support of applications.

RE: 4th Error -RCB- Poses an objection to the non-scientific term catastrophic [NOTE: Scientific «consensus» is often being used & / or implied in standard climate - change discourse - Yet Consensus is a Political Term - NOT a Scientific Term]- HOWEVER - When Jim Hansen, the IPCC & Al Gore, et - al - go from predicting 450 — 500 ppm CO2 to 800 — 1000ppm by the end of the 21st century -LCB- said to the be highest atmospheric CO2 content in 20 — 30 Million YRS -RCB-; — & estimates for aver global temps by 21st century's end go from 2 * C to 6 * C to 10 * C; — & increased sea level estimates go from 10 - 20 cm to 50 - 60 cm to 1M — 2M -LCB- which would totally submerge the Maldives & partially so Bangladesh -RCB-; — predictions of the total melting of the Himalayan Ice caps by 2050, near total melting of Greenland's ice sheet & partial melting of Antarctica's ice sheet before the 21st century's end; — massive crop failures; — more intense & frequent hurricane -LCB- ala Katrina -RCB- for much longer seasonal durations, etc, etc, etc... — IMO That's Sounds pretty damned CATASTROPHIC toterm catastrophic [NOTE: Scientific «consensus» is often being used & / or implied in standard climate - change discourse - Yet Consensus is a Political Term - NOT a Scientific Term]- HOWEVER - When Jim Hansen, the IPCC & Al Gore, et - al - go from predicting 450 — 500 ppm CO2 to 800 — 1000ppm by the end of the 21st century -LCB- said to the be highest atmospheric CO2 content in 20 — 30 Million YRS -RCB-; — & estimates for aver global temps by 21st century's end go from 2 * C to 6 * C to 10 * C; — & increased sea level estimates go from 10 - 20 cm to 50 - 60 cm to 1M — 2M -LCB- which would totally submerge the Maldives & partially so Bangladesh -RCB-; — predictions of the total melting of the Himalayan Ice caps by 2050, near total melting of Greenland's ice sheet & partial melting of Antarctica's ice sheet before the 21st century's end; — massive crop failures; — more intense & frequent hurricane -LCB- ala Katrina -RCB- for much longer seasonal durations, etc, etc, etc... — IMO That's Sounds pretty damned CATASTROPHIC toTerm - NOT a Scientific Term]- HOWEVER - When Jim Hansen, the IPCC & Al Gore, et - al - go from predicting 450 — 500 ppm CO2 to 800 — 1000ppm by the end of the 21st century -LCB- said to the be highest atmospheric CO2 content in 20 — 30 Million YRS -RCB-; — & estimates for aver global temps by 21st century's end go from 2 * C to 6 * C to 10 * C; — & increased sea level estimates go from 10 - 20 cm to 50 - 60 cm to 1M — 2M -LCB- which would totally submerge the Maldives & partially so Bangladesh -RCB-; — predictions of the total melting of the Himalayan Ice caps by 2050, near total melting of Greenland's ice sheet & partial melting of Antarctica's ice sheet before the 21st century's end; — massive crop failures; — more intense & frequent hurricane -LCB- ala Katrina -RCB- for much longer seasonal durations, etc, etc, etc... — IMO That's Sounds pretty damned CATASTROPHIC toTerm]- HOWEVER - When Jim Hansen, the IPCC & Al Gore, et - al - go from predicting 450 — 500 ppm CO2 to 800 — 1000ppm by the end of the 21st century -LCB- said to the be highest atmospheric CO2 content in 20 — 30 Million YRS -RCB-; — & estimates for aver global temps by 21st century's end go from 2 * C to 6 * C to 10 * C; — & increased sea level estimates go from 10 - 20 cm to 50 - 60 cm to 1M — 2M -LCB- which would totally submerge the Maldives & partially so Bangladesh -RCB-; — predictions of the total melting of the Himalayan Ice caps by 2050, near total melting of Greenland's ice sheet & partial melting of Antarctica's ice sheet before the 21st century's end; — massive crop failures; — more intense & frequent hurricane -LCB- ala Katrina -RCB- for much longer seasonal durations, etc, etc, etc... — IMO That's Sounds pretty damned CATASTROPHIC to ME!

Linearity can be a useful approximation for short - term effects when changes are small as in some weather forecasting, but certainly not for the long - term predictions from climate models.

The mid-Pliocene (∼ 3 to 3.3 Ma ago), is a period of sustained global warmth in comparison to the late Quaternary (0 to ∼ 1 Ma ago), and has potential to inform predictions of long - term future climate change.

More usefully in terms of future predictions, a recent paper in PNAS by Van Vuuren and co-workers (including a friend of mine, Tom Wigley, who is an Adjunct Professor at the University of Adelaide), assessed the impact on climate change of some plausible real - world actions.

Over the longer term, climate change attribution and prediction studies should take advantage of such advances.

So while it may be theoretically possible to predict long - scale climate changes, it may still be impossible to discern the true drivers of these climate systems amidst the chaos, making the long - term prediction problem moot.