Sentences with phrase «how uncertainties in the data»

His role, specifically, is to determine how uncertainties in the data could affect the simulation of the photochemical processes occurring in Titan's atmosphere.

The best commentary came from John Nielsen - Gammon's new blog where he described very clearly how the uncertainties in data — both the known unknowns and unknown unknowns — get handled in practice (read that and then come back).

Not exact matches

The key uncertainty is how much the data has been distorted by the fall of China's annual Lunar New Year holidays, which were in February this year and in January in 2012 and which typically see factories shut up shop for two weeks.

Examples of these risks, uncertainties and other factors include, but are not limited to the impact of: adverse general economic and related factors, such as fluctuating or increasing levels of unemployment, underemployment and the volatility of fuel prices, declines in the securities and real estate markets, and perceptions of these conditions that decrease the level of disposable income of consumers or consumer confidence; adverse events impacting the security of travel, such as terrorist acts, armed conflict and threats thereof, acts of piracy, and other international events; the risks and increased costs associated with operating internationally; our expansion into and investments in new markets; breaches in data security or other disturbances to our information technology and other networks; the spread of epidemics and viral outbreaks; adverse incidents involving cruise ships; changes in fuel prices and / or other cruise operating costs; any impairment of our tradenames or goodwill; our hedging strategies; our inability to obtain adequate insurance coverage; our substantial indebtedness, including the ability to raise additional capital to fund our operations, and to generate the necessary amount of cash to service our existing debt; restrictions in the agreements governing our indebtedness that limit our flexibility in operating our business; the significant portion of our assets pledged as collateral under our existing debt agreements and the ability of our creditors to accelerate the repayment of our indebtedness; volatility and disruptions in the global credit and financial markets, which may adversely affect our ability to borrow and could increase our counterparty credit risks, including those under our credit facilities, derivatives, contingent obligations, insurance contracts and new ship progress payment guarantees; fluctuations in foreign currency exchange rates; overcapacity in key markets or globally; our inability to recruit or retain qualified personnel or the loss of key personnel; future changes relating to how external distribution channels sell and market our cruises; our reliance on third parties to provide hotel management services to certain ships and certain other services; delays in our shipbuilding program and ship repairs, maintenance and refurbishments; future increases in the price of, or major changes or reduction in, commercial airline services; seasonal variations in passenger fare rates and occupancy levels at different times of the year; our ability to keep pace with developments in technology; amendments to our collective bargaining agreements for crew members and other employee relation issues; the continued availability of attractive port destinations; pending or threatened litigation, investigations and enforcement actions; changes involving the tax and environmental regulatory regimes in which we operate; and other factors set forth under «Risk Factors» in our most recently filed Annual Report on Form 10 - K and subsequent filings by the Company with the Securities and Exchange Commission.

With the increase in scientific data comes a decrease in uncertainty about how the universe works.

Given the paucity of hard data on which to calculate probable costs and benefits, how can responsible decisions be made in the midst of this uncertainty?

«The evolutionary consequences of climate change are one of our greatest areas of uncertainty because empirical data addressing this issue are extraordinarily rare; this study is a tremendous step forward in our understanding of how climate change can influence evolutionary process and ultimately species biodiversity,» said Ryan Kovach, a University of Montana study co-author.

Co-author Dr Iain Staffell, from the Centre for Environmental Policy, said: «This tool allows us to combat one of the biggest uncertainties in the future energy system, and use real data to answer questions such as how electricity storage could revolutionise the electricity generation sector, or when high - capacity home storage batteries linked to personal solar panels might become cost - effective.»

It is very important that we know how sensitive our predictions are to any uncertainty in input data or parameter values, so we can change values and investigate the impact on the predictions (see below).

HadSST3 not only greatly expands the amount of raw data processed, it makes some important improvements in how the uncertainties are dealt with and has a more Bayesian probabilistic treatment of the necessary bias corrections.

It's the question of how to blend data, uncertainty and values to produce a worldview and way of life in a time of great change, risk, opportunity and complexity.

``... estimates of future rises remain hazy, mostly because there are many uncertainties, from the lack of data on what ice sheets did in the past to predict how they will react to warming, insufficient long - term satellite data to unpick the effects of natural climate change from that caused by man and a spottiness in the degree to which places such as Antarctica have warmed....

If she accepts that attribution is amenable to quantitative analysis using some kind of model (doesn't have to be a GCM), I don't get why she doesn't accept that the numbers are going to be different for different time periods and have varying degrees of uncertainty depending on how good the forcing data is and what other factors can be brought in.

Since you don't seem to know how meaningless «decadal trends» are, you use the only data set that gives you what you want and ignore the others, and you act as though there's no uncertainty in your «trend» estimate, your level of certainty amounts to nothing more than hubris.

In the interview, with Andy Balaskovitz, I described the value of having a public more attuned to how science works — that new knowledge is what's left over after peers chew on each others» data and analysis, and that argument and uncertainty are normal, that science is a journey, not a set of facts:

There were legitimate debates between scientists working in this field about how reliable different kinds of proxy data are and what are the limits, what are the uncertainties, and then there were the dishonest attacks against the science.

Jane Burston, Head of the Centre for Carbon Measurement at the National Physical Laboratory, spoke to Climate Action about how the NPL is reducing uncertainty in climate data and helping to develop low carbon technologies.

Complex forecasting methods are only accurate when there is little uncertainty about the data and the situation (in this case: how the climate system works), and causal variables can be forecast accurately.

Independent of physics, logic, data uncertainties, and such, it is profoundly disturbing to see how often even simple statistical fundamentals are misused or possibly deliberately abused in «climate science».

I have frequently expressed uncertainty, a willingness to adjust my model and openness to alternatives How about willingness to abandon your «model» in face of no support [«There is no data»].

What they should do, I think, is estimate the uncertainty in the frequency domain, and jitter those spectra and see how the temperature profiles differ across a collection of jitters from the measured data.

We have already discussed how short term analysis of the data can be misleading, and we have previously commented on the use of the uncertainty in the ensemble mean being confused with the envelope of possible trajectories (here).