Sentences with phrase «key variables such»

Other key variables such as per capita emissions, energy and carbon intensity of the economy (tonnes C per dollar of real GDP), and cumulative emissions are also displayed.

Uncertainty about important feedback mechanisms is one reason why the ultimate goal of climate modeling — the forecasting reliably the futures key variables such as temperature and rainfall patterns — is not realizable.

«Uncertainty about feedback mechanisms is one reason why the ultimate goal of climate modeling — forecasting reliably the future of key variables such as temperature and rainfall patterns — is not realizable.»

Choosing among those those categories of tablets and readers is the dilemma facing any shopper today, with key variables such as size, weight, screen type, and app «ecosystem» leading the shopping considerations.

With just a few clicks, users can specify key variables such as the region of interest, from as small as a single city to the entire United States, and the type of disease, such as influenza, measles, Ebola, or something new.

Not exact matches

The length of the lease's term also affects other key variables, such as tenant improvements and concessions such as rent abatement.

Published early each month, PNC's National Economic Outlook provides analysis and forecasts of key U.S. economic variables, such as real GDP, interest rates, inflation, income, employment, industrial production and house prices.

Finally the impact of the new net spending, fresh overheads, administrative overreach, additional costs of controls, leakages, and the second - order effects of these parameters was assessed on key macroeconomic variables such as inflation, GDP - per - capita growth, debt service - to - revenue ratio, exchange rate, import cover, interest rates and credit dynamics.

The survey of 4,500 tenure - track faculty at 51 colleges and universities discovered that there are key climate variables for junior faculty, such as: interest senior faculty take in their work,...

These include short, «unplugged» activities that don't require a computer and introduce pupils to key concepts such as algorithms, decomposition and variables in fun, engaging ways.

The playlist includes: • Explanation of the distributive property • Links to four practice quizzes or activities • Links to eleven instructional videos or texts • Definitions of key terms, such as trinomial and binomial Accompanying Teaching Notes include: • Review of key terminology • Links to video tutorials for students struggling with certain parts of the standard, such as subtracting polynomials with multiple variables • Links to additional practice quizzes or activities on certain parts of the standard, such as operations on polynomials For more teaching and learning resources on standard HSA.APR.A.1, visit Wisewire.com.

This product includes: • 4 links to instructional videos or texts • 3 links to practice quizzes or activities • Definitions of key terms, such as algebraic equation and inverse operations • Examples of how to isolate variables in algebraic equations • Exercises that allow students to practice writing one - step algebraic equations to solve problems, including real - world problems • An accompanying Teaching Notes file The Teaching Notes file includes: • A review of key terminology • Links to video tutorials for students struggling with certain parts of the standard, such as using the incorrect operation on each side of the equation when solving for the variable • Links to additional practice activities or quizzes

The playlist includes: • 4 links to instructional videos or texts 4 links to practice quizzes or activities • Definitions of key terms, such as correlation coefficient and lurking variable • Visual examples of graphs and how to use them to interpret correlation or causation Accompanying Teaching Notes include: • A review of key terminology • Links to additional practice quizzes or activities on certain parts of the standard, such as causation • Links to video tutorials for students struggling with certain parts of the standard, such as misinterpreting correlation for causation For more teaching and learning resources on related standards, visit Wisewire.com.

Ideal for younger groups new to practical tasks and there is plenty of scope to introduce key terms, such as variables and reliability.

This product includes: • 8 links to instructional videos or texts • 3 links to practice quizzes or activities • Definitions of key terms, such as quotient and variable • Visual examples of arrays • Exercises that allow students to practice using multiplication and division to solve word problems • An accompanying Teaching Notes file The Teaching Notes file includes: • A review of key terminology • Links to video tutorials for students struggling with certain parts of the standard, such as struggling with variables • Links to additional practice quizzes or activities

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Other new features for»03 include speed - sensitive, variable - assist power steering to make it easier to maneuver and park the big sedan at low speeds; optional side - impact air bags; standard overhead console in the LX and LX Sport to hold such items as glasses; and a standard valet key.

When shopping around for a student loan servicer, you should consider these key factors — the interest rate (and whether it's fixed or variable); the length of the loan; and special conditions, such as the maximum amount of the loan, any available discounts, and any limits based on school or location.

Liu's work has been featured in group exhibitions at key institutions internationally, such as the Ullens Center for Contemporary Art, Beijing; K11 Art Foundation, Hong Kong; Pino Pascali Foundation Museum, Polignano; Foundation Louis Vuitton, Paris; Solomon R. Guggenheim Museum and Whitebox Art Center, New York; Dimensions Variable, Miami; Long Museum and Aurora Museum, Shanghai; OCT - Contemporary Art Terminal and He Xiangning Art Museum, Shenzhen; and Vermillion Sands, Copenhagen, among others.

Observational data on many key climatic variables is extremely limited, particularly for sluggish components of the system such as deep ocean currents.

Investigators outside NOAA are finding interesting trends and showing that they seem to be correlated with trends in such variables as SST [Sea Surface Temperature] in key regions, the changes of which almost certainly are due to human - induced changes in the climate, though having enough data to get all the statistics right is often problematic.

They are simply a first estimate.Where multiple analyses of the biases in other climatological variables have been produced, for example tropospheric temperatures and ocean heat content, the resulting spread in the estimates of key parameters such as the long - term trend has typically been signicantly larger than initial estimates of the uncertainty suggested.

1) Show us the past literature where clear discernible, unambiguous predictions about the trajectory of all important climate variables such as «global temperature», «global sea level», «global rain fall», «global severe weather events» and other key «global climate» parameters were made.

Such phenological plasticity among key secondary producers like zooplankton may thus narrow the risks of extreme mismatch between primary production and secondary production in an increasingly variable arctic environment.

It is the first such period for which satellite observations of key variables including sea - surface temperature and sea - ice cover are available to support globally complete meteorological reanalyses such as ERA - Interim.

-- The key drivers may be monotonic, necessitating a variable extent of a fixed type of response; this is true for many aspects of setting design performance criteria and risk margins in engineering guidelines in the face of higher temperatures, and for standards such as concrete corrosion (e.g. [50,51]-RRB-.

Such solecisms throughout the IPCC's assessment reports (including the insertion, after the scientists had completed their final draft, of a table in which four decimal points had been right - shifted so as to multiply tenfold the observed contribution of ice - sheets and glaciers to sea - level rise), combined with a heavy reliance upon computer models unskilled even in short - term projection, with initial values of key variables unmeasurable and unknown, with advancement of multiple, untestable, non-Popper-falsifiable theories, with a quantitative assignment of unduly high statistical confidence levels to non-quantitative statements that are ineluctably subject to very large uncertainties, and, above all, with the now - prolonged failure of TS to rise as predicted (Figures 1, 2), raise questions about the reliability and hence policy - relevance of the IPCC's central projections.

Specifically, key parameters of the Human System, such as fertility, health, migration, economic inequality, unemployment, GDP per capita, resource use per capita, and emissions per capita, must depend on the dynamic variables of the Human — Earth coupled system.26 Not including these feedbacks would be like trying to make El Niño predictions using dynamic atmospheric models but with sea surface temperatures as an external input based on future projections independently produced (e.g., by the UN) without feedbacks.

In particular, key Human System variables, such as demographics, inequality, economic growth, and migration, are not coupled with the Earth System but are instead driven by exogenous estimates, such as United Nations population projections.

Key Human System variables, such as demographics, inequality, economic growth, and migration, are instead driven by exogenous projections, such as the UN population tables.

However, in current models that explore the future of humanity and environment, and guide policy, key Human System variables, such as demographics, inequality, economic growth, and migration, are not coupled with the Earth System but are instead driven by exogenous estimates such as United Nations (UN) population projections.

Such field measurements are sparse, however, and the record of remotely sensed ocean color observations — the chief source of global biogeochemical data today — is limited to the sea surface and does not include a number of key variables.

There are several key variables that you need to keep in mind, such as how much coverage to obtain, and how to choose the right insurance carrier.

A key drawback to ALL annuities, and for variable annuities as a drawback when compared to other investments such as mutual funds, is a lack of liquidity due to early withdrawal penalties and surrender charges.

In the context of such a comparison, the key variable interests are the ratio of rates, rather than the age standardised rates alone.