Sentences with phrase «predict effect of weather»

Not exact matches

In a new study, a team of researchers from Case Western Reserve University and Gebze Technical University (GTU) in Turkey used data science to determine and predict the effects of exposure to weather and other conditions on materials in solar panels.
Professor David Schultz, one of the authors of the guest editorial, said: «One of the long - term effects of climate change is often predicted to be an increase in the intensity and frequency of many high - impact weather events, so reducing greenhouse gas emissions is often seen to be the response to the problem.
The more that we can understand about the Sun, the better we will be able to predict solar weather and hopefully avoid the outages of satillite communications and the potential damaging effects that large streams of high energy particles can have on power grids.
While meteorologists may predict weather patterns, Rockman reminds us that the devastating effects of the elements are often unpreventable.
Of course, there are some differences — the butterfly effect has a basis in physical reality, so as our understanding of physical processes and the ability to mathematically model them improves, so will our ability to bridge the gap between predicting weather and climatOf course, there are some differences — the butterfly effect has a basis in physical reality, so as our understanding of physical processes and the ability to mathematically model them improves, so will our ability to bridge the gap between predicting weather and climatof physical processes and the ability to mathematically model them improves, so will our ability to bridge the gap between predicting weather and climate.
Factoring in the effects of global warming on weather, food production and pollution, the index's average score drops 8 percent worldwide from what would otherwise be predicted (and it drops by 12 percent in sub-Saharan Africa and South Asia).
Broader definitions of the the different patterns and greater effort at determining the specific effect would be far more useful in predicting the weather and the climate.
Many crop yields are predicted to decline due to the combined effects of changes in rainfall, severe weather events, and increasing competition from weeds and pests on crop plants (Ch.
``... Emanuel says, and (Lorenz) made it clear that even if tracing the effects of small things is too hard to let anyone predict the weather a month ahead, the effects of large things, like the increase of carbon dioxide in the atmosphere, are not hard to discern.»
In effect, any pattern of weather change could be blamed on it — but a hypothesis that predicts anything and can't be proven false is not science
So what is left here appears to be an assertion that we can not predict the weather for more than a couple of weeks at best, and that in the < 5 year time frame internally generated effects can swamp a longer term climate signal.
Maybe, or just maybe there's the small detail that predicting weather is a complete irrelevance to questions of predicting the effects of climate change and therefore likely to be a distinct line of research involving different people?
«Prediction of weather and climate are necessarily uncertain: our observations of weather and climate are uncertain, the models into which we assimilate this data and predict the future are uncertain, and external effects such as volcanoes and anthropogenic greenhouse emissions are also uncertain.
The claim that «we can not predict next month's weather in London, so how in the world can we predict the effect of human - made greenhouse gases in 50 years!»
Also, as anyone who has tried to grow something would tell you, weather (and not climate) has significant effects on how things grow; therefore, unless the climate scientists can accurately predict how variations in the global climate (which the AGW statement addresses) manifest themselves in the behavior of raw proxy data, the proxy data becomes highly suspect.
It is very hard to predict the weather and it is very hard to avoid the harmful effects of nature.
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