Sentences with phrase «system variability on»

If internal system variability on it's own were sufficient as you seem to believe then the mechanisms and quantities involved would already have been substantially resolved with sound predictive abilities already arising from our models.
Stephen Wilde (01:07:00): the observations do differ from what we would expect from internal system variability on it's own.
If however you could make a positive suggestion as to alternative mechanism to account for observations then that would be welcome but I hold out no hope of that because you don't even accept that the observations do differ from what we would expect from internal system variability on it's own.
Forest (2006) states: «It is not possible to estimate the true climate system variability on century time - scales from observations and therefore, climate models are run with fixed boundary conditions for thousands of years to obtain estimates of the climate variability.»

Not exact matches

YOU FURTHER AGREE THAT THE PRODUCTS AND OTHER MATERIALS YOU RECEIVE IN YOUR ORDER MAY VARY FROM THE PRODUCTS AND MATERIALS DISPLAYED ON THE SITES DUE TO A NUMBER OF FACTORS, INCLUDING, WITHOUT LIMITATION, SYSTEM CAPABILITIES AND CONSTRAINTS OF YOUR COMPUTER, MANUFACTURING PROCESS OR SUPPLY ISSUES, THE AVAILABILITY AND VARIABILITY OF PRODUCTS, DISTINCT COOKING OR OTHER PREPARATION METHODS AND VARIABILITY OF COOKING EQUIPMENT AND APPLIANCES.
The Australian system potentially puts more emphasis on minimising short - term output variability and tolerating greater inflation variability.
Specifically designed to have two generous sizes, the Thirsties Duo All In One Diaper offers the same variability as a one size diaper system, as well as a more comfortable, snugger, leakproof fit for babies on both sides of the size scale; Thirsties will fit a tiny newborn, as well as a much larger, potty training Toddler.
«Global warming is not a linear process and happens on top of internal variability inherent to the climate system.
«This extreme variability is increasingly imprinted on these freshwater, terrestrial, and marine systems, and this has caused them to become more synchronous with one another with a number of implications for fisheries, drought, snowpack, and tree growth.»
Lozier (p. 1507) discusses how recent studies have challenged our view of large - scale ocean circulation as a simple conveyor belt, by revealing a more complex and nuanced system that reflects the effects of ocean eddies and surface atmospheric winds on the structure and variability of the ocean's overturning.
«If we put renewable energy on the system in a big way — 10 percent to 25 percent of energy, for instance — what happens if variability materializes those units lost?»
«My view on this is that the research needs to broaden out to have more of a focus on variability more generally so that a) we can predict the next few years better b) we can refine our estimates of the sensitivity of the climate system to increases in greenhouse gas concentrations.»
Therefore, the strongest motivation for the current scientific review is the need for a synoptic organization of the available knowledge on the field of interactions at different planetary systems, in parallel with a comparative analysis encompassing the inter-connection among planetary space weather aspects belonging to different disciplines (e.g. plasma variability and its effects on atmospheric heating).
This was accomplished using a stochastic climate model based on the concept that ocean temperature variability is a slow dynamical system, a red noise signal, generated by integrating stochastic atmospheric forcing, or white noise71.
Understanding the influence of solar variability on the Earth's climate requires knowledge of solar variability, solar interactions, and the mechanisms explain the response of the Earth's climate system.
Denebola has been classed as a Delta Scuti - type variable star (which vary in brightness by small amounts over periods lasting only hours and including radial as well as non-radial pulsations) as it exhibits small, Delta Sculti - type variability with around a 2.09 to 2.16 visual magnitude difference — in V on UBV Johnson system (Mkrtichian and Yurkov, 1998).
Moreover, any internal variability in the system will be superimposed on this even stronger growing positive trend, shifting the base climate into a state not seen for at least a few million years.
The imprint of SAM variability on the Southern Ocean system is observed as a coherent sea level response around Antarctica (Aoki, 2002; Hughes et al., 2003) and by its regulation of Antarctic Circumpolar Current flow through the Drake Passage (Meredith et al., 2004).
The research is particularly relevant given the expectation that on top of an overall warming trend, variability in key parts of the climate system could also grow in the future.
This diversity is thought to contribute to the antigenic variability of the spirochete to evade being picked up on Lyme testing, evade the immune system and antibiotic therapy, leading to chronic infection.
The very very last thing that I add in and sometimes it can be a good 12 - 15 weeks before I add in this component is chronic competitive motion where it's okay, we're actually going out to go on a bike ride or swim or run or something that is metabolic conditioning roadwork because that's the stuff in someone that is overtrained who often times has their parasympathetic nervous system really really beat up you know, if you test their heart rate variability, the number called there high frequency is really really consistently low you know usually because there are triathletes or marathoners that's more often I'm dealing with those people with adrenal fatigue than I am with like a cross fitter who's kind of an opposite sympathetic nervous system fatigue issue but with those parasympathetic nervous fatigue, the last thing we add back in is the swimming and the biking and the running because it's important to realize that when you're trying to recover from adrenal fatigue or overtraining, even if you're doing like an easy swim or an easy bike ride or an easy run, if you're a triathlete or a marathoner or a swimmer or a cyclist, those easy sessions send a message to your body that you're training, that you're running from a lion and you still get that hormonal depletion and it's so easy for you to just turn into a depletion session and so that's the very very last thing that I'll add back in so that's kinda like the crow's eye view of you know, the type of things that I'll implement in a program for overtraining recovery, you know and you know, this is something that people hire me to walk them through.
INCLUDES: 36 Student Activity Books (1 copy of each of the six titles per grade level, 32 - pages each) 4 Answer Cases 1 Teacher Guide FEATURES: Flexibility for task centers, independent or partner work, or one - on - one tutoring / remediation Clearly stated objective for each activity that allows you to differentiate Focus on foundational skills and concepts Engaging puzzle format for a fun challenge Immediate feedback for self - checking Titles: Grade 1: Number and Operations: Counting and Place Value Addition and Subtraction: Properties and Situations Addition and Subtraction: Strategies and Equations Addition and Subtraction: Beyond 20 Measurement and Data: Length, Time, and Analysis Geometry: Shapes and Attributes Grade 2: Addition and Subtraction: To 20 and Beyond Foundations of Multiplication: Equal Groups and Arrays Addition and Subtraction: Properties and Place Value Measurement and Data: Length, Time, and Analysis Measurement and Data: Time, Money, and Analysis Geometry: Shapes and Attributes Grade 3: Number and Operations: Multiply and Divide Multiply and Divide: Problem Solving Fractions: Fractions as Numbers Measurement and Data: Use and Interpret Data Geometric Measurement: Perimeter and Area Geometry: Shapes and Attributes Grade 4: Number and Operations: Whole Numbers Number and Operations Multi-Digit and Fractions Fractions: Equivalence and Ordering Fractions: Operations Measurement and Data: Convert and Solve Problems Geometry: Angles and Plane Figures Grade 5: Operations and Algebraic Thinking: Expressions and Patterns Number and Operations: Whole Numbers and Decimals Fractions: Add and Subtract Measurement and Data: Convert and Interpret Geometric Measurement: Volume Geometry: Graphing and 2 - D Figures Grade 6: Ratio and Proportions: Ratios and Problem Solving The Number System: Rational Numbers The Number System: Factors and Multiples Expressions and Equations: Write, Solve, and Analyze Geometry: Problem Solving Statistics and Probability: Variability and Displays
INCLUDES: 24 Student Activity Books (4 copies of each title, 32 - pages each) 8 Answer Cases 1 Teacher Guide FEATURES: Flexibility for whole - class practice, small - group guided practice, independent or partner work, learning stations Clearly stated objective for each activity that allow you to differentiate Focus on foundational skills and concepts Engaging puzzle format for a fun challenge Immediate feedback for self - checking Level 6 Titles: Ratio and Proportions: Ratios and Problem Solving The Number System: Rational Numbers The Number System: Factors and Multiples Expressions and Equations: Write, Solve, and Analyze Geometry: Problem Solving Statistics and Probability: Variability and Displays
INCLUDES: 6 Student Activity Books (1 copy of each title, 32 - pages each) 2 Answer Cases 1 Teacher Guide FEATURES: Flexibility for task centers, independent or partner work, or one - on - one tutoring / remediation Clearly stated objective for each activity that allows you to differentiate Focus on foundational skills and concepts Engaging puzzle format for a fun challenge Immediate feedback for self - checking Level 6 Titles: Ratio and Proportions: Ratios and Problem Solving The Number System: Rational Numbers The Number System: Factors and Multiples Expressions and Equations: Write, Solve, and Analyze Geometry: Problem Solving Statistics and Probability: Variability and Displays
The Delta SkyMiles program is based on a traditional, region - based award pricing system; however, they also have much more variability in pricing than most carriers.
It is, however, the variability on large scales influenced by interactions of the atmosphere with other components of the climate system that is predictable.
Noise is the random variability that the system you're not interested in is putting on the signal.
When will «the use of the latest information on external influences on the climate system and adjusting for internal variability associated with ENSO» make its way into the projection model?
The study demonstrates the importance of understanding how climate variability on a regional scale may at least temporarily obscure larger forces acting on the global climate system.
So the thousands of papers on internal variability of the climate system were apparently written by Martian bloggers and not climate scientists?
(1) The «fast response» component of the climate system, consisting of the atmosphere coupled to a mixed layer upper ocean, has very little natural variability on the decadal and longer time scale.
Dave: ``... what natural process could possibly cause significant temperature variability in the ocean system, which has such a huge inertia, on timescales as small as a decade?
There is also an important question of the degree to which internal variability can influence the attributable temperature change, given that the Millar result is contingent on knowing what the forced temperature response of the system is.
While rereading the ocean heat content changes by Levitus 2005 at http://www.nodc.noaa.gov/OC5/PDF/PAPERS/grlheat05.pdf a remarkable sentence was noticed: «However, the large decrease in ocean heat content starting around 1980 suggests that internal variability of the Earth system significantly affects Earth's heat balance on decadal time - scales.»
The strongest internal variability in the climate system on this time scale is the change from El Niño to La Niña — a natural, stochastic «seesaw» in the tropical Pacific called ENSO (El Niño Southern Oscillation).
Based on results from large ensemble simulations with the Community Earth System Model, we show that internal variability alone leads to a prediction uncertainty of about two decades, while scenario uncertainty between the strong (Representative Concentration Pathway (RCP) 8.5) and medium (RCP4.5) forcing scenarios [possible paths for greenhouse gas emissions] adds at least another 5 years.
Having better constraints on the timing and magnitude of past climate changes should ultimately lead to better constraints on climate sensitivity and the role of natural variability in the climate system.
-- More than $ 600,000 to Clark University, with equal funding from the Gordon and Betty Moore Foundation, for Clark Labs to develop a system to improve monitoring, analysis and prediction of the impacts of climate variability and change on ecosystems, food and health in Africa and the Amazon.
One, of course, is that the growing human influence on the system remains mixed in with a lot of natural variability in conditions.
In principle, changes in climate on a wide range of timescales can also arise from variations within the climate system due to, for example, interactions between the oceans and the atmosphere; in this document, this is referred to as «internal climate variability».
Your laser - focus on the most recent period of data while ignoring that which came before it blinds you to the larger trend while magnifying the natural variability inherent in the system.
«Modeling the Effects of UV Variability and the Qbo on the Troposphere - Stratosphere System.
The impact of the variability and periodicity of rainfall on surface water supply systems in Scotland
Much of science, though, has concentrated until two or three decades ago — on understanding the mean behavior of physical, biological, environmental or social systems and their «normal» variability.
The current lack of consistency between various data sets makes it difficult, based on current knowledge, to attribute the millennial time scale large - scale climate variations to external forcings (solar activity, episodes of intense volcanism), or to variability internal to the climate system.
Cross Cutting Priority 1: (Integrated Global Environmental Observation and Data Management System) focuses on developing a global - to - local environmental observation and data management systems for the comprehensive, continuous monitoring of coupled ocean / atmospheric / land systems that enhance NOAA's ability to protect lives, property, expand economic opportunities, understand climate variability, and promote healthy ecosystems.
Despite continued interest in meteorological influences on the thermal variability of river systems, there are few detailed studies of stream temperature dynamics during storm events.
Results provide insight into whether deep ocean climate variability can be inferred indirectly based on current monitoring systems, or whether good estimates of deep variability will have to await routine sampling of the deep ocean.
«Although climate change and variability involves all aspects of the climate system [Pielke, 1998], the assessment of anthropogenically - forced climate change has focused on surface temperature as the primary metric [Mann and Jones, 2003; Soon et al., 2004].
These tools provide the means to sharpen assessment and management capacities required to: compare the result of several water allocations plans; improve soil - moisture control - practices under rainfed conditions; optimize irrigation scheduling; sustainably intensify crop production; close the yield and water - productivity gaps; quantify the impact of climate variability and change on cropping systems; enhance strategies for increased water productivity and water savings; minimize the negative impact on the environment caused by agriculture.
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