Sentences with phrase «point about the measurements»

And good point about the measurements.

Not exact matches

Some Town Board members found the early language confusing, arguing that the way it was phrased, if someone on Nassau Point in Cutchogue complained about noise coming from Greenport the measurement would be taken on the beach in Cutchogue.

As astronomers presented new planetary measurements and observing techniques at the conference, Kepler engineers in California were strategizing about how to remotely repair one of two broken reaction wheels that precisely point the telescope.

The measurements give information on how «squishy» the soil is at any given point, making it possible to infer a great deal of information about the soil properties, such as its water content or texture.

The particles flow along the entire cantilever in about 100 milliseconds, so a key advance that allowed the researchers to take rapid measurements at each point along the channel was the incorporation of a control system known as a phase - locked loop (PLL).

The test has a standard error of measurement of about 2.5 points, so Cherry's true IQ could have been below 70.

But my previous point, which you kinda ignored, was that future expectations, which are of course what folks make bets about, are fundamentally different from pointing out a difference between carefully recorded past expectations and carefully recorded (probably recent) past measurements.

This little ODE also points out what was so troubling about the recent measurement of mid layer warming in the ocean.

The chart below shows the sum of about three thousand data points from glucose and BHB ketones measurements for people following a low carbohydrate or ketogenic diet.

Teaching points that are covered in the topic are listed below: Understand that it is important to be able to grow plants well because they provide food and other items for us To know that all food chains begin with a green plant To understand the function of the parts of a plant To understand that plants need leaves in order to grow well To plan an appropriate investigation To make careful observations and measurements of plants growing To use simple apparatus to measure the height of plants in standard measures To use results to draw conclusions and provide explanations To know that water is transported through the stem to other parts of the plant To know that that plants need light for healthy growth To know that plants need water, but not unlimited water, for healthy growth To know that temperature can affect the growth of plants To ask questions about the growth of plants To plan a fair test To write a clear conclusion

Although these criticisms are appealing on the surface, Messick (1994), a noted measurement researcher, pointed out that concerns about both authenticity and directness need to be supported empirically rather than simply claimed.

Goldstein is correct to criticize using test - based, value - added calculations to reward and punish educators, but she misses an important point about how we define our units of measurement.

By that measurement, Dan Fante's Point Doom should be accorded a grit number of about negative 10, as it would be a rare case indeed when you would find so many murders, dismemberments and graphic examples of creative torture encased in...

Peter explains that such consideration — and deciding to act in an uncertain world — is the first step towards risk management: «[How] human beings recognize and respond to the probabilities they confront [is] what risk management and decision - making are all about and where the balance between measurement and gut becomes the focal point of the whole story.»

Geometry enables seeing, it is the domain of viewing; algebra enables speech and writing, it is the domain of discourse; they are neighbours located at an interchange through which they flow into one another: a datum point, a site-less site and simultaneously the site of all sites, zero of all measurements and logos — but origin and enabler of speech and writing about the phenomenon of site.

(I acknowledge this may be slightly OT, since SST measurement is not specifically part of this post about SLR and Temperature corelation... But if there's someone that can help, or point me to better place, that would be fine).

And then Joe goes on to point out that one possible explanation for the pause is measurement — there's been a ton of warming in the Arctic as if we are somehow hiding that fact when we talk about the pause.

I have a basic (and what may seem like a trivial) question, but I am looking for a pointer to a place on the sebsite that tells about the conventions used to consolidate multiple observations / measurements at different points on the surface of the earth (e.g., different oceans) at different times (i.e., the seasons and such).

-- How about THIS: «Thus the weight of evidence points to increasing potential intensity in the region where Pam developed, and consistent with this, increasing intensity of the highest category storms based on satellite - derived measurements» — How about THIS: «All of this is consistent with the strengthening consensus that the frequency of high category tropical cyclones should increase as the planet warms (Knutson et al., 2010).»

The CAPE and dew - point temperature are independent measurements that can give us clues about cyclone trends, but they are also a potential indicator of climate change.

What about my point that there is no CO2 warming since actual measurements began?

This apparent inconsistency says little about the overall trend in the heaviest precipitation events, but a lot about the weaknesses of single - point measurements for detecting trends in extreme precipitation.

any person with massive doubt about the GISS measurement of glabal temperature data has some serious explanation to do, while pointing at proxy results.

Can anyone point me to literature about how we know that everything in the ice core keeps the same relative depth, or if it is known not to, how measurements are adjusted to acount for differential drift?

And I have repeatedly pointed out that you guys consistently mistake unverified models for reality, and don't know anything worth mentioning about Linear Systems theory, tracer measurements, or why the sink rate for each carbon isotope (in CO2) is the same as each of the others and the same as all of them put together.

And this is a crucial point; Salby's conclusions are based on the best measurements; his critics are rabbiting on about ice core data and other proxies which are up there with how's your mother in terms of evidence.

When a measurement is done at top of such variation, the result is that cooling has occurred while a simultaneous measurement at the low point of the prediction tells about warming.

From Figure 2 the Central Pacific appears to vary at Midnight, 6 AM, noon, 6 PM as: -0.18 deg C, -0.38 deg C, 0.17 deg C, 0.30 deg C for an relative average of: -0.02 C. Taking the 8 am, noon and 8 pm measurement we have about: -0.05 C, 0.18 C, 0.08 C, for an average of about 0.07 C (assuming a simple 3 point average).

Then the temperatures stay there, varying by less than a degree with hardly any year - to - year variation at all, up to about 1880, when the dotted line become solid — indicating (though this is not explicitly noted) that we have switched to modern thermometer measurements — at which point they begin to tick jerkily upward.

This follows on from similar points made by Steve Goddard, and another article by Harold Ambler which tries to show how DMI is based on more data measurements than GISS, again providing a setting to raise questions about the reliability of GISS gridded values in the Arctic.

To point out just a couple of things: — oceans warming slower (or cooling slower) than lands on long - time trends is absolutely normal, because water is more difficult both to warm or to cool (I mean, we require both a bigger heat flow and more time); at the contrary, I see as a non-sense theory (made by some serrist, but don't know who) that oceans are storing up heat, and that suddenly they will release such heat as a positive feedback: or the water warms than no heat can be considered ad «stored» (we have no phase change inside oceans, so no latent heat) or oceans begin to release heat but in the same time they have to cool (because they are losing heat); so, I don't feel strange that in last years land temperatures for some series (NCDC and GISS) can be heating up while oceans are slightly cooling, but I feel strange that they are heating up so much to reverse global trend from slightly negative / stable to slightly positive; but, in the end, all this is not an evidence that lands» warming is led by UHI (but, this effect, I would not exclude it from having a small part in temperature trends for some regional area, but just small); both because, as writtend, it is normal to have waters warming slower than lands, and because lands» temperatures are often measured in a not so precise way (despite they continue to give us a global uncertainity in TT values which is barely the instrumental's one)-- but, to point out, HadCRU and MSU of last years (I mean always 2002 - 2006) follow much better waters» temperatures trend; — metropolis and larger cities temperature trends actually show an increase in UHI effect, but I think the sites are few, and the covered area is very small worldwide, so the global effect is very poor (but it still can be sensible for regional effects); but I would not run out a small warming trend for airport measurements due mainly to three things: increasing jet planes traffic, enlarging airports (then more buildings and more asphalt — if you follow motor sports, or simply live in a town / city, you will know how easy they get very warmer than air during day, and how much it can slow night - time cooling) and overall having airports nearer to cities (if not becoming an area inside the city after some decade of hurban growth, e.g. Milan - Linate); — I found no point about UHI in towns and villages; you will tell me they are not large cities; but, in comparison with 20-40-60 years ago when they were «countryside», many small towns and villages have become part of larger hurban areas (at least in Europe and Asia) so examining just larger cities would not be enough in my opinion to get a full view of UHI effect (still remembering that it has a small global effect: we can say many matters are due to UHI instead of GW, maybe even that a small part of measured GW is due to UHI, and that GW measurements are not so precise to make us able to make good analisyses and predictions, but not that GW is due to UHI).

Postscript: A perceptive reader might ask whether Hansen perhaps has specific information about this measurement point.

The point, grasped by Hennin and made repeatedly, and forcibly, by Forbes, is that if you want the truth about a matter of fact, the best bet is a measurement.

assuming what you say about skeptics changing topic as you describe is accurate, and at this point I do we are talking about data that is less than 200 years old, out of which extraordinary claims are made as to how that data relates to distant past and future trends tough sell assuming that all adjustments to the data are scientifically sound, It is very difficult for me to believe that measurements that have gone through so many iterations can be trusted to.0 and.00 in most other sciences, I doubt they would tough sell (the photo of the thermometer is downright funny) in terms of goal post moving I observe predicted heat being re-branded as «missing» a prediction of no snow re-branded as more snow a warming world re-branded to a «warm, cold, we don't know what to expect» world topped off with suggestions that one who thinks the above has some sort of psychological disorder extraordinary claims demand extraordinary evidence especially when you are teaching children that their world is endangered

The ground temperature was a couple of degrees cooler as expected but the measurements pointing up into the fog were about 10C warmer.

The family transitions variable is derived from information about mothers» relationship status (married, cohabiting, single) at the three different measurement points.

The study's ability to make conclusions about the transactional nature of causality is limited by its correlational design and two time points of measurement.