Sentences with phrase «term weather variability»

In the category of comparing «long - term climate change to short - term weather variability,» Boston Globe columnist Jeff Jacoby has offered something that may be new.

However, as most of our readers will realise, these comparisons are flawed since they basically compare long term climate change to short term weather variability.

Not exact matches

Schultz, a professor of synoptic meteorology, and co-author Dr Vladimir Janković, a science historian specialising in weather and climate, say the short - term, large variability from year to year in high - impact weather makes it difficult, if not impossible, to draw conclusions about the correlation to longer - term climate change.

Scientists expect some annual variability as wind and weather patterns change, but predict the contraction will continue long - term.

In view of future missions to the outer Solar System, an accurate identification of the space weather conditions around a planet can contribute significantly in the estimation of the water abundances in the planetary atmospheres and their long - and short - term variability.

Not only do the vagaries of weather patterns and ocean currents make it hard to see climate changes, but the variability in what are often termed the Earth System components complicates the picture enormously.

It is easy to see that unpredictable weather noise dominates short term variability.

This is in contrast to fully - coupled models, such as those used in the IPCC projections, which make their own version of the weather and can only be expected to approximate the mean and general patterns of variability and the long - term trajectory of the sea ice evolution.

The much talked about variability problem of wind power should dramatically fall as weather forecasting gets smarter and smarter, and as our power grids get more dynamic in terms of managing demand, storing excess and rerouting supply to where it is needed.

Averaging smoothes out day - to - day and year - to - year natural weather variability and extremes, removing much of the chaotic behavior, revealing any underlying long term trends in climate, such as a long term increase or decrease in temperature, or long term shifts in precipitation patterns.

Long - term climate variability is the range of temperatures and weather patterns experienced by the Earth over a scale of thousands of years.

If future global emissions are not curbed, human - driven global warming could cause further large declines in long - term temperature variability, the lead author tells Carbon Brief, which may have far - reaching effects on the world's seasons and weather.

For example, after an extreme weather event, scientists often carry out single attribution studies to determine how the likelihood of such an event could have been influenced by climate change and short - term climate variability.

Short - term climate variability is a term typically used to describe the natural range of temperatures and weather patterns experienced by the Earth within shorter periods.

However, it is still unclear how a decline in long - term variability could affect the frequency of extreme weather events, she adds.

As mentioned above, it shows the models do well at predicting model monthly - scale variability — so they are capturing many elements of what would be reasonably termed «weather».

The aim here is to try to separate the changes in the annual cycle from the weather - driven and other short - term variability and to see if we can learn something about the life expectancy of our canary.

The problem with this obsessive focusing on one single data point out of 365, is that there is a lot of short term, weather driven variability that can affect the exact timing and size of the minimum in ice coverage.

Possible correlations between solar ultraviolet variability and climate change have previously been explained in terms of changes in ozone heating influencing stratospheric weather.

Because weather patterns vary, causing temperatures to be higher or lower than average from time to time due to factors like ocean processes, cloud variability, volcanic activity, and other natural cycles, scientists take a longer - term view in order to consider all of the year - to - year changes.

The most natural type of long term variability is in my view based on slowly varying changes in ocean circulation, which doesn't necessarily involve major transfer of heat from one place to another but influences cloudiness and other large scale weather patterns and through that the net energy flux of the Earth system.

Records show that current weather extremes are well within long - term natural variability.

Conflating variability time scales causes confusion because long - term heatwaves are more likely when weather variability decreases.

Climate - Climate in a narrow sense is usually defined as the average weather, or more rigorously, as the statistical description in terms of the mean and variability of relevant quantities over a period of time ranging from months to thousands or millions of years.

You distinguish between within day variability, within season variability and short term variability due to e.g. large scale weather systems.

If a noted climate scientist explains multi-year changes in ocean heat storage in terms of «tropical variablity» or «weather», I would suspect that any particularly intense tropical cyclone (or season, or multiple seasons) would surely also fall into this category of «tropical variability».

Re # 112: «If a noted climate scientist explains multi-year changes in ocean heat storage in terms of «tropical variablity» or «weather», I would suspect that any particularly intense tropical cyclone (or season, or multiple seasons) would surely also fall into this category of «tropical variability».»

These averaged maps remove some of the variability caused by day - to - day weather changes, instead showing longer - term patterns that can affect weather and climate both within and outside of the Arctic.

How can a person discern long - term climate change, given the notorious variability of local weather and climate from day to day and year to year?

It is easy to see that unpredictable weather noise dominates short term variability.