Not exact matches
Long
Term Intervention Monitoring Project Lachlan River System Selected Area
Observations Report
Period: 1 January 2017 to 31 March 2017
«The goal here is to drive those numbers down through rules changes, culture changes, protocol changes, through greater
observation and treatment over a longer
term period of time.»
This demonstrates how longer
periods of
observation, along with the complete ARGO network, are critical to derive more accurate long -
term ocean trends.
Careful participant selection, close
observation, and relatively short treatment
period would minimize the opportunity to abuse the drug and would also reduce the risks of long -
term cardiovascular complications.»
This mixing of reported and operating earnings, coupled with an arbitrary extension of a medium -
term observation to a very - long -
term historical
period, leads to dubious conclusions.
A long -
term study (published in the Journal of the American Veterinary Medical Association in 2003) of a Trap - Neuter - Return program noted that 83 % of the cats present at the end of the
observation period had been there for more than six years — meaning that the cats» lifespans were comparable to the mean lifespan of 7.1 years for pet cats.
What
observations do you offer that would encourage this other than claiming the last 3 years (2005 hottest) or last twelve (’98 hottest) equal global cooling when they are all among the hottest years in the last 2 million (a fundamentally flawed assertion that shows 100 % ignorance, or willful disregard, of basic scientific principles, namely that a three — twelve year
period is not a long -
term trend, but is variability until proven otherwise.)
Regular variation in the solid runoff of Antarctic glaciers with the
period of 18.6 years is revealed as a result of long -
term observations.
This result is based on short
term observations of temperature changes while CO2 concentrations were approximately constant, so they only hold true over
periods when CO2 does not change much.
In HadSST3 for example, the adjustments for buckets in the early
period tend to reduce the long -
term warming relative to the unadjusted
observations.
However, a «50 - year Gaussian filter» as was used by Briffa and Jones the 99 Science and RG articles is a clever bell - shaped filter that has a 50 - year characteristic
period (in
terms of its half - amplitude, I believe), yet uses well under 50
observations, and hence can get even closer to the end without endpadding issues arising.
In a
period of static temperature that is at a near
term high in a very tiny window of coherent reliable
observation — any positive short
term displacement is a record.
True, but fails to explain why the longer -
term mean about which those cycles fluctuate is trending up other than curve - fitting an «approximation by three sinusoids of
periods 1000 years, 210 years and 60 years,» ANSWER: The curve fitting exercise is labeled as such «heuristic»; the lengths of the cycles are from other
observations, some displayed on figures 5 - B & C; only the amplitudes and phase of the 215 and 60 years sinusoids are subject to optimization; Singular Spectrum Analysis has been applied by Diego Macias et al (note 18) to the HadCRUT series with equivalent results, and among many others by Liu Yu et al..
The short 6 - year
period 1979 to 1984 might, by chance, be on the high or low side of the longer
term trend of either the model or the
observations, creating a biased comparison.
Observations of recent global warming, short -
term cooling after major volcanic eruptions, cooling at the Last Glacial Maximum and other
periods in the historical record, and the seasonal variation in climate, all provide some information which helps to determine the value of climate sensitivity.
Moving beyond simple
observations of the negative outcomes associated with depressive symptoms in pregnancy and the postpartum
period requires information about 2 related phenomena: 1) the identification of distinct subgroups of women in
terms of onset and persistence of depressive symptoms, and 2) the identification of demographic and clinical correlates of these subgroups to aid in the development of more refined models of mechanisms linking depressive symptoms to behavioral and physical health outcomes.