Sentences with phrase «observation errors in»

Moreover, the scientists called for continued support of current and future technologies for ocean monitoring to minimize observation errors in sea surface temperature and ocean heat content.

Not exact matches

As I point out in the video, his observations showed the masses of clusters were too large, but the numbers he got were far too high, and we now know they must have been in error (or, to be more fair, his uncertainties were too large).

There is something rather than nothing at the root of all we observe and no reason or evidence that our observations are in error.

According to Pinnock, purported «errors» in the Bible often dissolved when the above observations were noted.

A first flash of illumination, intuitively accepted despite the risk of error; and as the intuition was increasingly confirmed by observation and experiment, it came to be embodied in the inherited core of human consciousness.

As the evidence and observations of these FRB anomalies continue to trickle in, however, astronomers are cautiously optimistic that they have stumbled not across fiction or technical error, but something much more novel.

Now it's been confirmed after more observations that reduced the number of errors in the orbital parameters.

«Prior analyses have found that climate models underestimate the observed rate of tropical widening, leading to questions on possible model deficiencies, possible errors in the observations, and lack of confidence in future projections,» said Robert J. Allen, an assistant professor of climatology in UC Riverside's Department of Earth Sciences, who led the study.

Until now, studies that challenged the existence of Planet Nine using the data available for these trans - Neptunian objects argued that there had been systematic errors linked to the orientations of the orbits (defined by three angles), due to the way in which the observations had been made.

Or the 2003 observations were in error, and a few ppb of methane are lingering in the air from volcanic eruptions or the ultraviolet irradiation of organic - rich cosmic dust drifting into the atmosphere.

Based on model experiments, it has been suggested that errors resulting from the highly inhomogeneous distribution of ocean observations in space and time (see Appendix 5.

Wegman confirmed Steve McIntyre's observations about Manns errors in calculations and he has also confirmed that «other independent results» are not independent.

After ruling out contamination of DNA samples and other possible sources of error, we are not able to explain these observations in any other way,» Siepel says.

However, satellite observations are notably cooler in the lower troposphere than predicted by climate models, and the research team in their paper acknowledge this, remarking: «One area of concern is that on average... simulations underestimate the observed lower stratospheric cooling and overestimate tropospheric warming... These differences must be due to some combination of errors in model forcings, model response errors, residual observational inhomogeneities, and an unusual manifestation of natural internal variability in the observations.»

Their response ignores the egregious errors in implementation that we identified, namely the fact that they threw out a majority of the state observations, miscoded outcome information, and completely confused the sequence of test introduction and achievement measurement in several states.

Allison also considered the characteristics of the Spelling City app in relation to the explicit instruction model and then had her student engage in additional practice after using the app, based upon her observations of her student's spelling errors.

Observers committed to reducing error should consider multiple measurements for teacher evaluation.Yes, Evaluations Can Be Fair and Accurate In this month's ASCD, Robert Marzano discusses ways to minimize error and maximize accuracy and fairness when principals, coaches, or other administrators are conducting classroom observations.

If interested, see the Review of Article # 1 — the introduction to the special issue here; see the Review of Article # 2 — on VAMs» measurement errors, issues with retroactive revisions, and (more) problems with using standardized tests in VAMs here; see the Review of Article # 3 — on VAMs» potentials here; see the Review of Article # 4 — on observational systems» potentials here; see the Review of Article # 5 — on teachers» perceptions of observations and student growth here; see the Review of Article (Essay) # 6 — on VAMs as tools for «egg - crate» schools here; see the Review of Article (Commentary) # 7 — on VAMs situated in their appropriate ecologies here; and see the Review of Article # 8, Part I — on a more research - based assessment of VAMs» potentials here and Part II on «a modest solution» provided to us by Linda Darling - Hammond here.

If interested, see the Review of Article # 1 — the introduction to the special issue here; see the Review of Article # 2 — on VAMs» measurement errors, issues with retroactive revisions, and (more) problems with using standardized tests in VAMs here; see the Review of Article # 3 — on VAMs» potentials here; see the Review of Article # 4 — on observational systems» potentials here; see the Review of Article # 5 — on teachers» perceptions of observations and student growth here; see the Review of Article (Essay) # 6 — on VAMs as tools for «egg - crate» schools here; and see the Review of Article (Commentary) # 7 — on VAMs situated in their appropriate ecologies here; and see the Review of Article # 8, Part I — on a more research - based assessment of VAMs» potentials here.

On this note, and «[i] n sum, recent research on value added tells us that, by using data from student perceptions, classroom observations, and test score growth, we can obtain credible evidence [albeit weakly related evidence, referring to the Bill & Melinda Gates Foundation's MET studies] of the relative effectiveness of a set of teachers who teach similar kids [emphasis added] under similar conditions [emphasis added]... [Although] if a district administrator uses data like that collected in MET, we can anticipate that an attempt to classify teachers for personnel decisions will be characterized by intolerably high error rates [emphasis added].

We estimate multiple sources of error variance in the setting - level outcome and identify observation procedures to use in the efficacy study that most efficiently reduce these sources of error.

In view of recent news concerning a dog that was trapped in error, the Society offers the following observations and suggestionIn view of recent news concerning a dog that was trapped in error, the Society offers the following observations and suggestionin error, the Society offers the following observations and suggestions:

This is a relationship where close observation of each party's behavior is necessary for progress, and many obstacles in this puzzle - platformer will necessitate a little trial and error before they've overcome.

The association of Photorealism to Trompe L'oeil is a wrongly attributed comparison, an error in observation or interpretation made by many critics of the 1970s and 1980s.

And since we don't have good ocean heat content data, nor any satellite observations, or any measurements of stratospheric temperatures to help distinguish potential errors in the forcing from internal variability, it is inevitable that there will be more uncertainty in the attribution for that period than for more recently.

Since any actual model prediction depends on a collection of hypotheses together, as do the «observation» and the comparison, there are multiple chances for errors to creep in.

Therefore, the contribution of random independent errors to the uncertainty on the global average SST is much smaller than the contribution of random error to the uncertainty on a single observation even in the most sparsely observed years»

If there is a discrepancy between simulation and observations, it might be (partly) because of errors in the forcings or initial conditions or in some other aspect of the experimental design.

The resulting 3D simulations are then sampled at the locations of OCO - 2 observations to determine the error in the forward model of atmospheric variations.

You can also account for possible errors in the amplitudes of the external forcing and the model response by scaling the signal patterns to best match the observations without influencing the attribution from fingerprinting methods, and this provides a more robust framework for attributing signals than simply looking at the time history of global temperature in models and obs and seeing if they match up or not.

* Indeed, possible errors in the amplitudes of the external forcing and a models response are accounted for by scaling the signal patterns to best match observations, and thus the robustness of the IPCC conclusion is not slaved to uncertainties in aerosol forcing or sensitivity being off.

That «observation» is supported by too many other tenacles to be taking down by some small errors in the weather stations.

It is argued that uncertainty, differences and errors in sea ice model forcing sets complicate the use of models to determine the exact causes of the recently reported decline in Arctic sea ice thickness, but help in the determination of robust features if the models are tuned appropriately against observations.

Even if one were to stipulate all of the ostensible «errors» Lewis claims, the only way he is actually able to justify his claim of disagreement with observations» ICS is by throwing out the observational ICS estimate used in the paper in favor of once he likes and obviously likes simply because of their low values.

[Update] Steve McIntyre has some interesting observations about the reviewer's report as well noting that the main shortcoming / error of the paper seems to be the fact that it compared observations with models where «no consistency was to be expected in the first place».

Optimal detection studies that attempt to separate the responses to solar and other forcings in observations can also account for gross errors in the overall magnitude of past solar forcing, which remains uncertain (Chapter 2), by scaling the space - time patterns of response (Section 9.2.2.1).

I note the increasing frequency of papers which either seek to deny / explain the observed 21st century pause / cessation in warming, either through uncertainty or observation error.

Moreover, because of the effects of wind speed, evaporation, and precipitation intensity, different types of rain gauge, and observation techniques induce different errors in precipitation measurements.

However, these measurements contain non-negligible random errors and biases owing to the indirect nature of the relationship between the observations and actual precipitation, inadequate sampling, and deficiencies in the algorithms.

JAXA boasts that, «we can reduce the error of the estimated values when we introduce IBUKI's observation data compared to that of the values calculated in a conventional way based on ground observation data.»

Increasing the number of measurements in this case, does decrease the random component of the instrumental error by 1 / SQRT (n) where n is the the number of observations.

In a weekly climate - focused newsletter, the SEPP argued that, «given poor geographic coverage of the surface - air observations, the movement of observation points on the surface, and the frequent manipulation of the data by the reporting entities, not clearly publically disclosed, the margin of error is likely to be well above + / - 0.1 deg C and it is actually unknown.»

In fact, most uncertainties in the alarmist pseudo-science are internal contradictions and consequences of its shoddy practices: cherry picking data, making conclusions based on statistically insignificant observations, declaring trends based on variations that are within error margins, relying on computer models that contradict principles of the information theory, forging forecasts for unreasonably long time periods, etcIn fact, most uncertainties in the alarmist pseudo-science are internal contradictions and consequences of its shoddy practices: cherry picking data, making conclusions based on statistically insignificant observations, declaring trends based on variations that are within error margins, relying on computer models that contradict principles of the information theory, forging forecasts for unreasonably long time periods, etcin the alarmist pseudo-science are internal contradictions and consequences of its shoddy practices: cherry picking data, making conclusions based on statistically insignificant observations, declaring trends based on variations that are within error margins, relying on computer models that contradict principles of the information theory, forging forecasts for unreasonably long time periods, etc..

A very effective method to solve holistic physical problems, is to summarize all of the observations / paradoxes / anomalies related to the subject in question and then use the logic of the observations / analysis / paradoxes / anomalies to appropriately adjust / modify existing mechanisms, to develop new mechanisms, and to correct fundamental errors in theory.

Measurement and sampling errors (derived in part 1) are larger than in previous analyses of SST because they include the effects of correlated errors in the observations.

Initial condition uncertainty arises due to errors in the estimate of the starting conditions for the forecast, both due to limited observations of the atmosphere, and uncertainties involved in using indirect measurements, such as satellite data, to measure the state of atmospheric variables.

(In addition the relative weights of the observations vary, and this adds an additional factor to the resulting estimate of the uncertainty from uncorrelated part of the errors.)

In a 30 - yr historical evaluation period, Climdex indices computed from 800 - m simulated values display reduced error relative to local station observations than those from the 10 - km dataset, with the greatest reduction in error occurring at high - elevation sites for precipitation - based indiceIn a 30 - yr historical evaluation period, Climdex indices computed from 800 - m simulated values display reduced error relative to local station observations than those from the 10 - km dataset, with the greatest reduction in error occurring at high - elevation sites for precipitation - based indicein error occurring at high - elevation sites for precipitation - based indices.

But in the meantime, I have a couple of observations (feel free to correct errors in my interpretation).

By that analysis the CAGWists are not practicing science in the Aristotelian sense; that would be what causes all their repeated and widespread Aristotelian logical errors and refusal to accept opposing skeptical dialog on Earthly reality / Earthly observations and Earthly arguments.