Sentences with phrase «predictions of future trends»

Although predictions of future trends are just that, predictions, most credible sources should not be ignored especially if it could have a direct impact on your career.
The findings could aid predictions of future trends in atmospheric nitrous oxide and help to identify mitigation actions in the Arctic, a region that is particularly sensitive to climate change.

Not exact matches

Projecting the future, or future - casting, is the work of combining social science, research, technical data, economic trends and, yes, even science fiction, to model a prediction of the future.
Readers are cautioned that these forward - looking statements are only predictions and may differ materially from actual future events or results due a variety of factors, including, among other things, that conditions to the closing of the transaction may not be satisfied, the potential impact on the business of Accompany due to the uncertainty about the acquisition, the retention of employees of Accompany and the ability of Cisco to successfully integrate Accompany and to achieve expected benefits, business and economic conditions and growth trends in the networking industry, customer markets and various geographic regions, global economic conditions and uncertainties in the geopolitical environment and other risk factors set forth in Cisco's most recent reports on Form 10 - K and Form 10 - Q.
Certain statements contained within are forward - looking statements including, but not limited to, statements that are predictions of or indicate future events, trends, plans or objectives.
Predictions: Alphabet (Google) Executive Chairman, Eric Schmidt predicted: «plant protein is the # 1 trend of the future
«According to climate predictions, annual precipitation is likely to decrease in the Southwest but increase in the eastern United States during the 21st century, therefore, the observed diverse trends of surface water body areas since 1984 could continue to occur in the future,» said Xiao.
Her research aims to enhance our understanding of environmental changes that impact primary producer communities, as these influence the ecology and fitness of higher trophic levels, and to inform future spatial population trends in light of current predictions of climate change.
2017 and beyond motor trend new cars → Autoblog new cars, used cars for sale, car reviews and news → Radwood 2018, collectible cars of the future hemmings daily → Full tilt when 100 % of cars are autonomous the new york → Schomp automotive group new & used cars in colorado, utah → To power the future, carmakers flip on 48volt systems → World predictions 2018 & beyond — jeanne mayell peace →
While the good folks of the «publishing industry» are discussing trends, numbers, and predictions over at the DBW conference, we thought we would give the readers of the Reedsy blog a sneak peek of what the future could actually hold.
They are strictly to give you an idea of how the trends can play out in the future, and you should do your own homework and research the credibility of the «expert» before you make a decision based on one prediction.
Of course, predictions can only go so far, but experts review history, current trends, and expectations for the future to come up with their predictions so they do carry a lot of weight with people who are planning to borrow money as well as those who are investinOf course, predictions can only go so far, but experts review history, current trends, and expectations for the future to come up with their predictions so they do carry a lot of weight with people who are planning to borrow money as well as those who are investinof weight with people who are planning to borrow money as well as those who are investing.
A warning to the skeptics — there are very obvious trends for most of the parameters, which accord with climate model predictions for a hotter drier future.
Generally, the most recent observation and trends are the best prediction of the immediate future.
Given as well that we don't have skillful predictions of ENSO years in advance, future trends are best thought of as being composed of an underlying trend driven by external drivers, with a wide range of ENSO (and other internal modes) imposed on top.
Canadian Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.
Better understanding of the effect of aerosols on Earth's climate in the past can help climate scientist make better predictions of climate change trends in the future, the researchers said.
Canadian Ice Service, 4.7 (+ / - 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness extents, as well as winter Surface Air Temperature, Sea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.
To enable predictions of future ozone amounts, and to identify whether (and what) action might be needed to prevent further decreases, it is extremely important to understand what is causing the observed downward trend
Since current ice melt data could indicate variable climate trends and aren't necessarily part of an accelerating trend, the study warned that predictions of future sea - level rise should not be based on measurements of glacial loss» Daily Mail.
Could models, which consistently err by several degrees in the 20th century, be trusted for their future predictions of decadal trends that are much lower than this error?
Canadian Ice Service; 5.0; Statistical As with Canadian Ice Service (CIS) contributions in June 2009 and June 2010, the 2011 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic Multi-Year Ice (MYI) extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere, and sea ice predictors.
However, initialized prediction ensembles using CESM can skillfully predict low - frequency modulations in the decadal trends of Arctic sea ice, and the significant skill scores for Atlantic sector sea ice extent, in particular, suggest that CESM DP future forecasts merit serious consideration.
As a result, their computer predictions of future climate trends show dramatic global warming roughly proportional to projected carbon dioxide concentrations in the future.
Canadian Ice Service, 4.7 (± 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness extents, as well as winter Surface Air Temperature, Sea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.
A rational public and private sector response to the threat of storm damage in a changing climate must therefore acknowledge scientific uncertainties that are likely to persist beyond the time at which decisions will need to be made, focus more on the risks and benefits of planning for the worst case scenarios, and recognize that the combination of societal trends and the most confident aspects of climate change predictions makes future economic impacts substantially more likely than does either one alone.
Then an average sensitivity based on the latitudinal trends being 1.48 C per doubling might be some indication of future response to CO2, which appears to be somewhat less than 0.2 C per, though still within the confidence interval of the model predictions, just closer to scenario C.
DAGW «consensus» believers apparently do not like your analyses, because they are based on actual observations of past climate trends rather than on model predictions of future climate changes, which myopically fixate on the human - induced aspect only.
It regurgitates NSIDC graphs, complete with lines of best fit that reveal the underlying downward trend towards inevitable oblivion, without wondering why scientific predictions from the NSIDC and elsewhere about the future of Arctic ice are spread across a whole continent of ball parks each the size of Wales.
What I will note is that the Time Magazine article no more accurately reflected climatologists understanding of then trends than it reflected their predictions as to future trends.
assuming what you say about skeptics changing topic as you describe is accurate, and at this point I do we are talking about data that is less than 200 years old, out of which extraordinary claims are made as to how that data relates to distant past and future trends tough sell assuming that all adjustments to the data are scientifically sound, It is very difficult for me to believe that measurements that have gone through so many iterations can be trusted to.0 and.00 in most other sciences, I doubt they would tough sell (the photo of the thermometer is downright funny) in terms of goal post moving I observe predicted heat being re-branded as «missing» a prediction of no snow re-branded as more snow a warming world re-branded to a «warm, cold, we don't know what to expect» world topped off with suggestions that one who thinks the above has some sort of psychological disorder extraordinary claims demand extraordinary evidence especially when you are teaching children that their world is endangered
13) The inability of climate models to adequately reproduce the recent states and trends of Arctic sea ice diminishes confidence in their accuracy for making future climate predictions.
Both of these studies looked at 2015 law firm profitability and future trends and predictions.
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