Measurements of the time series provide a number of data points, N, that can be geometrically analysed.
Not exact matches
We compare correlations by ranked fifth (quintile)
of VIX at the end
of the past return
measurement interval to determine (in - sample) optimal
time series momentum
measurement intervals for different ranges
of VIX.
there is the single
time series or
time - system which is a member
of the derived set
of time - systems and, in conjunction with a space - system, is used for natural
measurement (CN 178).
We habitually muddle together this creative advance, which we experience and know as the perpetual transition
of nature into novelty, with the single
time -
series which we naturally employ for
measurement.
Sensing solutions specialist SICK UK is hitting the road with a
series of its popular Technology Days to bring expert advice in Machine Vision, Auto Ident and
Measurement to the production doorstep The free «drop - in» workshops are specially - designed to enable quality and production engineers to take a short
time out
of a busy day to gain -LSB-...]
Individual growth curve models were developed for multilevel analysis and specifically designed for exploring longitudinal data on individual changes over
time.23 Using this approach, we applied the MIXED procedure in SAS (SAS Institute) to account for the random effects
of repeated
measurements.24 To specify the correct model for our individual growth curves, we compared a
series of MIXED models by evaluating the difference in deviance between nested models.23 Both fixed quadratic and cubic MIXED models fit our data well, but we selected the fixed quadratic MIXED model because the addition
of a cubic
time term was not statistically significant based on a log - likelihood ratio test.
To determine the final temperature distribution, a
series of measurements is performed where the ensemble is irradiated with radio waves
of a different frequency each
time.
This paper reports on the first comprehensive analysis
of measurement data from the Boknis Eck
time series station, and it was recently published in the international journal Biogeosciences.
The study examined a 28 - year
time series (1982 - 2009), which was composed
of measurements taken by weather satellites passing over the polar region.
At the same
time, the study demonstrates the high value
of long
time -
series measurements such as those at Boknis Eck.
The phasegram was created based on a
series of measurements taken at equally spaced
time intervals
of ca. 0.02 ms, representing the vibration
of the vocal folds within the larynx (see Fig. 1).
The
time series of brightness
measurements for a star is called a light curve.
As the first mission to provide extensive
time series measurements on thousands
of stars over months to years at a level hitherto possible only for the Sun, the results from Kepler will vastly increase our knowledge
of stellar variability for quiet solar - type stars.
In research featured on the cover
of Journal
of Fluid Mechanics, an interdisciplinary Los Alamos team took a
series of first -
time measurements of turbulent mixing, providing new insights for turbulence modelers.
These involved calculating weights for the velocity
time series from the
measurement uncertainties and adjusting them in order to minimize the noise level
of the combined data.
First
of all in
time -
series stations, that is repeat
measurements at the same place for a long
time.
In a
series of studies, we employed
time - resolved behavioral
measurements to access how attentional behavioral performances (e.g., reaction
time, percent correct) change as a function
of time.
Continuous
series of tree - ring dated wood samples have been obtained for roughly the past 10,000 years which give the approximate correct radiocarbon age, demonstrating the general validity
of the conventional radiocarbon dating technique.Several long tree - ring chronologies have been constructed specifically for use in calibrating the radiocarbon
time scale.Some may have mistaken this to mean that the sample had been dated to 20,000 radiocarbon years.The second characteristic
of the
measurement of radiocarbon is that it is easy to contaminate a sample which contains very little radiocarbon with enough radiocarbon from the research environment to give it an apparent radiocarbon age which is much less than its actual radiocarbon age.
Topics covered in the
series include
time, money, geometry,
measurement, problem solving, place value, and —
of course — basic computation.
Curriculum - Based
Measurement of Oral Reading (CBM - R) is used to collect
time series data, estimate the rate
of student achievement, and evaluate program effectiveness.
We compare correlations by ranked fifth (quintile)
of VIX at the end
of the past return
measurement interval to determine (in - sample) optimal
time series momentum
measurement intervals for different ranges
of VIX.
In the Wharf Road galleries the exhibition comprises three installations - one on each floor - that the artist has conceived as a
series of different experiments that explore the construction and
measurement of space, mass,
time, and volume through the use
of materials.
Mike's work, like that
of previous award winners, is diverse, and includes pioneering and highly cited work in
time series analysis (an elegant use
of Thomson's multitaper spectral analysis approach to detect spatiotemporal oscillations in the climate record and methods for smoothing temporal data), decadal climate variability (the term «Atlantic Multidecadal Oscillation» or «AMO» was coined by Mike in an interview with Science's Richard Kerr about a paper he had published with Tom Delworth
of GFDL showing evidence in both climate model simulations and observational data for a 50 - 70 year oscillation in the climate system; significantly Mike also published work with Kerry Emanuel in 2006 showing that the AMO concept has been overstated as regards its role in 20th century tropical Atlantic SST changes, a finding recently reaffirmed by a study published in Nature), in showing how changes in radiative forcing from volcanoes can affect ENSO, in examining the role
of solar variations in explaining the pattern
of the Medieval Climate Anomaly and Little Ice Age, the relationship between the climate changes
of past centuries and phenomena such as Atlantic tropical cyclones and global sea level, and even a bit
of work in atmospheric chemistry (an analysis
of beryllium - 7
measurements).
-- Historically, transient climate sensitivity (TCS) has been evaluated thanks to satellite
measurements series of Earth Radiative Balance (e g «ERBS»
time series, followed by «CERES», or even the french «SCARAB» on a Russian Meteor).
Latimer Alder June 29, 2012 at 7:16 pm said:» but only the Hawaiian ones go anywhere near showing how it has changed with
time... and that only for one location and only for two separate short
series of about 5 years (monthly
measurements) each»
You might have lots
of measurements of pH, but only the Hawaiian ones go anywhere near showing how it has changed with
time... and that only for one location and only for two separate short
series of about 5 years (monthly
measurements) each.
The work in question takes
measurements from one locale, and doesn't publish conclusions, rather Doney's statements are giving his opinion about what he read, «Long - term ocean acidification trends are clearly evident over the past several decades in open - ocean
time -
series and hydrographic survey data, and the trends are consistent with the growth rate
of atmospheric carbon dioxide (Dore et al., 2009).»
Historical temperature
time series and
series of atmospheric carbon dioxide
measurements show clearly how climate has changed over the past 100 years.
When a
series of measurements of a process are treated as a
time series, trend estimation can be used to make and justify statements about tendencies in the data, by relating the
measurements to the
times at which they occurred.
Such reconstructions are trying to derive the underlying
time series behind a set
of derived
measurements.
Smaller - scale deployments have occurred at a variety
of locations, particularly such well - studied sites as the University
of Hawai`i at Mānoa's Hawaii Ocean
Time -
series (HOT) station, where long biogeochemical records from floats (Figure 1) can be calibrated against shipboard
measurements.
- Data from Sentinel - 3B also ensures continuity in ocean and sea
measurements and ensures the ability to build long
time series of key essential climate variables.
Major holes in geographic, vertical, and temporal coverage present another challenge to the strength
of scientific conclusions about global change based on global
time series data sets, particularly when it comes to biological
measurements.
Also the importance
of (temperature)
measurement errors on the long term predictibility
of non linear
time series (= temperature records and proxies) seems to be key to me for an eventual validation
of any predicitve model.
This method uses consistency between direct normal and diffuse horizontal
measurements together with a special regression technique for retrieval
of daily
time series of column mean aerosol particle size, aerosol optical depth, NO2, ozone and water vapor column amounts together with the instrument's calibration constants.
«Since 1990, surface ocean pH has directly been measured or calculated at several locations, with the average recent decrease estimated as 0.0019 pH units per year at the Hawaii Ocean
Time -
series (HOT; close to the site of long - term atmospheric CO2 measurements at Mauna Loa)[12]; 0.0017 per year based on transects in the North Pacific [13]; 0.0012 per year at the Bermuda Atlantic Time - Series (BATS)[14] and 0.0017 per year at the European Station for Time - Series in the Ocean at the Canary Islands (ESTOC
series (HOT; close to the site
of long - term atmospheric CO2
measurements at Mauna Loa)[12]; 0.0017 per year based on transects in the North Pacific [13]; 0.0012 per year at the Bermuda Atlantic
Time -
Series (BATS)[14] and 0.0017 per year at the European Station for Time - Series in the Ocean at the Canary Islands (ESTOC
Series (BATS)[14] and 0.0017 per year at the European Station for
Time -
Series in the Ocean at the Canary Islands (ESTOC
Series in the Ocean at the Canary Islands (ESTOC)[15].
Working from an ancient formula on optimal dam design he devised the equation: log (R / S) = K * log (N / 2) where R is the range
of the
time series, S is the standard deviation
of year - to - year flood
measurements and N is the number
of years in the
series.»
The Microwave Radiometer - High Frequency (MWRHF) provides
time -
series measurements of brightness temperatures from two channels centered at 90 and 150 GHz.
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).
This dependence is expressed as a function
of calendar month, geographic latitude, and LT, fitted over a long
time series of TEC
measurements (October 2004 — December 2009) over North America.
Therefore, a correction factor (× 0.2458) was applied, obtained from a
series of simultaneous CO2 flux
measurements from a floating chamber connected to an EGM - 4 (PP - Systems) performed at the same
time as surface gas concentrations were collected [4](data from 2007 to 2010, n = 57, r2 = 0.689, p < 0.001; unpubl.
Moreover, the two
time series are analyzed and depicted separately, even if they are practically independent
measurements of the same thing.
The data basis
of observations are total ozone columns
measurements from three satellite borne instruments: the European satellite sensors GOME (ERS - 2), SCIAMACHY (ENVISAT), and GOME - 2 (METOP - A) are combined and added up to a continuous
time series starting in June 1995.
The signal - free concept stems from the observation that individual tree - ring
measurement series represent a mixture
of potential growth influences, among which are included first, that
of climate variability through
time and second, that
of changing allocation processes and tree geometry that both affect the size
of annual stem increments.
4) As there are too many parameters and fudge factors lets start from the observations which are only four datasets: (1) Anthropic emissions (figure 17 - E), (2) their
time varying delta13C (not shown), (3) CO2 content
of the air (since 1958)(figure 4 - A for the 12 months increments) and (4) delta13C
of the air (continuous
times series since about 1977 with some
measurements before figure 3 - A).
Uses a
time series of hydrographic and stable oxygen isotope (δ18O)
measurements collected at a near - coastal site in Marguerite Bay to quantify the prevalence
of meteoric freshwater (glacial melt plus precipitation) separately from sea ice melt
The carbon cycle is reasonably well understood and the conclusion is totally clear: The only significant factor that has caused the increase in CO2 level during the period
of good
measurements (i.e. since the beginning
of the Mauna Loa
time series) is the anthropogenic influence.
AR4 WG1 claims that the Maunder Minimum was in 1610, out by nearly 100 years, and that no
measurements of Solar Radiation were available before the satellites
of c. 1977, whereas NOAA actually has continuous
time series across the USA from 1960 to 2005 (when they cease because no doubt Jim Hansen deemed them to be Inconvenient Truths).
In no way is this comparable to the manufacture
of data where no
measurements have been taken or the substitution
of one measured variable (daily mean land air temperature) with another (instantaneous SST observations) whose sampling method varies, is exceedingly uneven geographically, and no credible, alias - free
time -
series can be obtained.
The Microwave Radiometer (MWR) provides
time -
series measurements of column - integrated amounts
of water vapor and liquid water.