Sentences with phrase «of other climate variables»

Since then, anthropogenic influence has also been identified in a range of other climate variables, such as ocean heat content, atmospheric pressure and sea ice extent, thereby contributing further evidence of an anthropogenic influence on climate, and improving confidence in climate models.

Not exact matches

First of all: Every Vertical Farm is different and Construction and Operation costs depend on city location, availability, technology used, local laws and Policy, energy source, climate, type of building and many other variables.
When modelers want to predict the future movement of a particular species, they first establish a set of conditions — in terms of climate, soil quality and other variables — under which that species is likely to thrive.
But this phenomenon, called «upwelling» has a very variable intensity due to the variability of the currents in the Pacific Basin, to which other ocean and climate forcing mechanisms are added.
The new IRI director, Brazilian meteorologist Antonio Divino Moura, and his 15 to 20 staff scientists will use supercomputers to develop global projections of several months or more of precipitation, temperature, and other climate variables, says Scripps climate scientist Nicholas Graham.
Scientists have developed and used Global Climate Models (GCMs) to simulate the global climate and make projections of future AT and other climatic variables under different carbon emission scenarios in the 21st cClimate Models (GCMs) to simulate the global climate and make projections of future AT and other climatic variables under different carbon emission scenarios in the 21st cclimate and make projections of future AT and other climatic variables under different carbon emission scenarios in the 21st century.
As discussed throughout this assessment, the interplay of many variables complicates differentiation of the effects of climate change from other driving factors.
We employed 20 individual GCMs from the CMIP5 project for the Montana Climate Assessment ensemble, chosen because they provide daily outputs and a range of important climate variables.9 For this first Montana Climate Assessment, we are only using climate variables of temperature and precipitation (later assessment may evaluate other important variables such as wind and relative humClimate Assessment ensemble, chosen because they provide daily outputs and a range of important climate variables.9 For this first Montana Climate Assessment, we are only using climate variables of temperature and precipitation (later assessment may evaluate other important variables such as wind and relative humclimate variables.9 For this first Montana Climate Assessment, we are only using climate variables of temperature and precipitation (later assessment may evaluate other important variables such as wind and relative humClimate Assessment, we are only using climate variables of temperature and precipitation (later assessment may evaluate other important variables such as wind and relative humclimate variables of temperature and precipitation (later assessment may evaluate other important variables such as wind and relative humidity).
In No Small Change: Targeting Money Toward Student Performance, researchers analyze more than 100 variables before they grade states from A to F on four major categories: the rigor and clarity of the state's standards in core subjects; its efforts to improve teacher quality; its school climate as measured by absenteeism, school safety, parental involvement, character education, and other variables; and the extent to which it provides resources equitably.
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The problem here is that the «forcings» are in fact some other inherent variables of the very same climate - bearing system, but there is no clear separation of time scales that allow for any sort of coherent theories like «averaging of fast motion» that results in Landau - Ginzburg - type equations for «slow envelopes».
Moreover, even if methane leakage were to remain modest in some areas, long - term climate models suggest that warming trends have less to do with the rate of methane leakage and more to do with other variables, such as the thermal efficiency of future coal plants and whether the switch to gas is permanent or a bridge to zero - carbon energy.
Given that the other important variables (sea surface temps, depth of the warm layer, and atmospheric moisture) are all predicted to increase, it seems hard to make the claim that tropical cyclones will be unchanged, just as it seemed unwise to claim that Lyman et al's «Recent cooling of the upper oceans» meant that climate models had fatal flaws.
No reasonable person would consider the CO2 as independent bifurcation parameter since the CO2 is continously produced and consumed in large quantities within the «climate - generating» system depending upon interplay of other variables.
What I mean by climate change One definition of a climate change is a shift in the pdf describing the temperature, precipitation, or some other variable.
a) they don't believe the premise of man - made climate change: they don't think scientific data collected to date is adequate to prove conclusively that any type of man - made event can result in either the recent fluxuations in climate or the anticipated kinds of drastic climate change, therefore CO2 control would be ineffective at solving the problem b) they don't believe CO2 alone is responsible: they think other variables are as or more likely to be the catalysts or causes for the scientific data collected to date on climate change therefore CO2 control would be ineffective at solving the problem c) they believe government efforts to curb CO2 emissions will fail resulting in an unprecedented waste of money and worse economic conditions.
Give me variables totally unrelated to climate and even I can recreate past climate temperature record (or a lot of other past records).
Looking across the totality of the evidence, what we see is that the climate variables tend to be weaker predictors of security troubles than other factors, like ethnic divisions, failed states, war in neighboring states that spills over, etc..
I would also warn you and others readers, though, that it is a subject highly vulnerable to cherry picking, because the consequences are so variable from region to region, crop to crop, and from one level of climate change to another.
Since none of the four models considered by the Mediterranean study consistently out - performed the others in simulating present - day climate, the researchers combined their results to produce a single composite scenario for each climate variable.2 To prevent the GCM with the greatest sensitivity from dominating the scenarios, they first had to standardise the model results.
Carbon dioxide may in fact have very little effect as a control variable in pushing climate to shift state — a small change lost amidst multiple other factors of which clouds, ice, UV and orbital irregularities are the obvious candidates.
No realistic model climate can warm up by 1.1 C without other aspects of the climate also changing.Other variables besides temperature must change.
They receive inputs in the form of information on climate variables and processes, make calculations over a given number of «model - years», and then produce temperatures and other data as sets of numbers on a grid.
First, the project defined the detailed specifications of a global land cover product matching the GCOS requirements (both for itself and as a surrogate for other important climate variables), achievable on a regular basis using the current EO systems and building on the FAO / UNEP LCCS for the sake of compatibility with other land cover products.
If climate sensitivity is a variable and not a constant what can we really learn from paleo data other than what the climate sensitivity was, on average, over an extended period of time?
What I want to say is only that empirical evidence of the type that F+G 06 or any other of these analyses of climate sensitivity or related variables is information on the likelihood function (or equivalently conditional probability), and that this information alone can not provide any PDFs of confidence intervals for the climate sensitivity or a functionally related parameter like Y. To get a PDF or a confidence interval, a prior must be assumed and plausible alternative priors give in this case significantly different results.
In other words, the underlying climate models will have characteristics or variables which will set the overall size of the carbon budget.
Yet Lewandowsky claimed that «Rejection of climate science was strongly associated with endorsement of a laissez - faire view of unregulated free markets `, and that «A second variable that was associated with rejection of climate science as well as other scientific propositions was conspiracist ideation `.
The CERN Cloud study suggests cosmic radiation (variation of which, of course, would depend on other variables — I suppose there is no end to this question unless you believe in a supernatural being that controls it all, and even then you'd have to ask why that supernatural being would choose to make changes in cosmic radiation to determine the independent variable, and of course, then you'd have to ask why that supernatural being was created, etc.) but offers no solid evidence that correlates changes in cosmic radiation to measures of change in our climate.
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.
Mann's «temperature CONCEPTS» are not at all related to Climate as Temperature is variable by processes NOT involved in any direct PRODUCTION of «new or additional» Kinetic Induction within the System, and as such «proxy fabrication» efforts attempting a link of «CO2» (or other «material») variations are not EITHER able to indicate validly the TEMPERATURE of the System nor the «variation trend» linked to induction of Kinetic Energy.
I'm very convinced that the physical process of global warming is continuing, which appears as a statistically significant increase of the global surface and tropospheric temperature anomaly over a time scale of about 20 years and longer and also as trends in other climate variables (e.g., global ocean heat content increase, Arctic and Antarctic ice decrease, mountain glacier decrease on average and others), and I don't see any scientific evidence according to which this trend has been broken, recently.
Is there any evidence of global climate change from some cause other than Earth's variable heat source — the Sun?
Moreover, long - term climate models suggest that warming trends have less to do with the rate of methane leakage and more to do with other variables, such as the thermal efficiency of future coal plants and whether the switch to gas is permanent or a bridge to zero - carbon energy.
Other climate or climate - related variables of importance may include CO2 concentration, sea - ice extent, mean sea level pressure, sea level, and storm surge frequencies.
They deny the hundreds of causes and variables of climate change and pretend CO2 is the «control knob» overriding all the others
If you are a scientist or engineer and believe the AGW part of climate change is well described by the models, then I will ask you to explain how the hypothesis is calculated and how independnently validated by others experiments, over the time periods predicted ex ante, not ex post, how the forcing variable from CO2 to water vapour was hypothesisied and then proven.
The most likely candidate for that climatic variable force that comes to mind is solar variability (because I can think of no other force that can change or reverse in a different trend often enough, and quick enough to account for the historical climatic record) and the primary and secondary effects associated with this solar variability which I feel are a significant player in glacial / inter-glacial cycles, counter climatic trends when taken into consideration with these factors which are, land / ocean arrangements, mean land elevation, mean magnetic field strength of the earth (magnetic excursions), the mean state of the climate (average global temperature), the initial state of the earth's climate (how close to interglacial - glacial threshold condition it is) the state of random terrestrial (violent volcanic eruption, or a random atmospheric circulation / oceanic pattern that feeds upon itself possibly) / extra terrestrial events (super-nova in vicinity of earth or a random impact) along with Milankovitch Cycles.
There is currently less skill in predicting precipitation and other variables compared to temperature although progress is expected to be made as a consequence of the Decadal Climate Prediction Project (DCPP) and other projects and investigations.
ECMWF's approach to reanalysis combines measurements of temperature and other meteorological variables with a global weather model to provide a complete picture of the regional patterns of climate.
«Having only looked at temperature so far, we plan to assess the skill of other climate - impact related variables, particularly precipitation, river flow, drought, sea level, crop growth and storms,» said Smith.
The other important variable used in the model is the climate sensitivity, which varies between 2.0 and 4.5 °C for a doubling of atmospheric CO2, with a central value of 3.0 °C.
There is no reasonalbe explanation for why anyone would deny Earth's climate is the result of the holistic process we call nature and certainly no non-political explanation other than superstition or ignorance why and federal climatist would believe that a monophysical element like CO2 with properties as we observe on Earth could ever possible explain global warming — especially when we know that the Sun is the only independent variable that nominally explains both global warming and cooling.
But the important problem for modern climate science is to predict and to measure the response of other atmospheric variables (temperature, humidity and cloud) to a climate forcing.
But the only difference between A, B, and C were not the model assumptions of climate sensitivity or any other variable — they only differed in the amount of Co2 growth and the number of volcano eruptions (which have a cooling effect via aerosols).
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