Sentences with phrase «climatological temperature»

The 30 - y period 1951 — 1980 with relatively stable climate is sufficiently long to define a climatological temperature distribution, which is near normal (Fig. 9, Left), yet short enough that we can readily see how the distribution is changing in subsequent decades.

Reproducing spatial patterns of the climatological temperature sensitivity of soil carbon is a necessary condition for trustworthy simulations of the carbon - cycle — climate feedback.

Daly, C., M. Halbleib, J.I. Smith, W.P. Gibson, M.K. Doggett, G.H. Taylor, J. Curtis and P.P. Pasteris, 2008: Physiographically sensitive mapping of climatological temperature and precipitation across the coterminous United States.

The «+» symbols indicate the average climatological temperature during each month and the dashed line shows the maximum of these, an indication of the expected warmest (usually summer) temperature.

Let's say you claim a «slowdown» in 1998: you can use the data before then to estimate what the climatological temperature is, e.g. by linear regression from 1970 - 1998.

When you start your «slowdown» trend, its initial value should be close to this estimated climatological temperature, but to get the «slowdown» you have to ignore this information and allow some kind of magical jump in climatology during 1998.

Firstly, there's no significant change in trend (given ARMA (1,1) noise), and secondly it ignores knowledge about what the climatological temperature is at the beginning of the trend.

If you look at all of the data and want to get a «slowdown» for some period at the end, then you have to assume there's some kind of jump in climatological temperature just before the beginning of your «slowdown» period.

Not exact matches

Climatological events, such as extreme temperatures, droughts, and forest fires, have more than doubled since 1980.

He said: «Tropical glaciers are the canaries in the coalmine for our global climate system, as they integrate and respond to most of the key climatological variables — temperature, precipitation, cloudiness, humidity and radiation.»

Normalised RMS error in simulation of climatological patterns of monthly precipitation, mean sea level pressure and surface air temperature.

For the earlier generation of models, results are based on the archived output from control runs (specifically, the first 30 years, in the case of temperature, and the first 20 years for the other fields), and for the recent generation models, results are based on the 20th - century simulations with climatological periods selected to correspond with observations.

First, there is the climatological average (maybe for each month or season) of key observed fields like temperature, rainfall, winds and clouds.

The average temperature across both the contiguous U.S. and the globe during climatological winter (December 2007 - February 2008) was the coolest since 2001, according to scientists at NOAA's National Climatic Data Center in Asheville, N.C..

Yesterday, the analysis showed that Michigan experienced temperatures that were 4 — 5 climatological anomalies warmer than average (4 - sigma to 5 - sigma), the type of extreme that occurs between once every 43 years and once every 4779 years.

The 1950 - 1995 climatological mean temperature along the equator at the 500mb level.

All matter at 20 C has precisely the same temperature — unless you hew to the climatological view of the magical properties of GHGs, of course!

Normalised RMS error in simulation of climatological patterns of monthly precipitation, mean sea level pressure and surface air temperature.

If so, at least over the temperature and climatological conditions we are now facing, working this out quantitatively would stand «transient / equilibrium responses» or «fast / slow feedbacks» ruminations on their head.

We now have the first results for our Climatological simulations, investigating the influence of removing the «blob» of warm sea surface temperatures off the western US coast.

There is no climatological theory in which CO2 does not drive temperature.

... current climate modeling is essentially to answer one question: how will increased atmospheric concentrations of CO2 (generated from human activity) change earth's temperature and other climatological statistics?

If the climatological average global land surface temperature goes up again in 2016, setting another new record, the party that accepts my challenge must donate $ 25,000 to a science education nonprofit of my choice.

Surface warming / ocean warming: «A reassessment of temperature variations and trends from global reanalyses and monthly surface climatological datasets» «Estimating changes in global temperature since the pre-industrial period» «Possible artifacts of data biases in the recent global surface warming hiatus» «Assessing the impact of satellite - based observations in sea surface temperature trends»

But together they do provide a good view of the current state of the surface temperature record «contamination» debate in climatological literature.

«Estimating changes in global temperature since the pre-industrial period» «A reassessment of temperature variations and trends from global reanalyses and monthly surface climatological datasets» «Deducing Multidecadal Anthropogenic Global Warming Trends Using Multiple Regression Analysis» «Early onset of industrial - era warming across the oceans and continents»

From: «A reassessment of temperature variations and trends from global reanalyses and monthly surface climatological datasets.»

Biological specimens endure and thrive in a broad range of conditions and fluctuations (including diurnal, seasonal, and short term climatological) all of which are much larger than the slow average annual temperature rise.

Carbon Brief produced a raw global temperature record using using unadjusted ICOADS sea surface temperature measurements gridded by the UK Hadley Centre and raw land temperature measurements assembled by NOAA in version 4 of the Global Historical Climatological Network (GHCN).

They are simply a first estimate.Where multiple analyses of the biases in other climatological variables have been produced, for example tropospheric temperatures and ocean heat content, the resulting spread in the estimates of key parameters such as the long - term trend has typically been signicantly larger than initial estimates of the uncertainty suggested.

************** «witchtistics»: use of a «witch stick» (eg, least squares regression) to «divine» the global temperature temperature trend (or other climatological trends) over short time periods.

The SST trace shows that, on average, temperatures around Caribbean reefs exceeded climatological values by close to 1 °C for a period of more than four months.

There were some potentially very interesting books from; University of Birmingham department of geography monthly climatological summary Straightforward listing of each months temperatures wind etc..

Although the regions largely coincide with the continents rather than climatological criteria, the annual mean temperature averaged over these regions explains 90 % of the global mean annual temperature variability in the instrumental record»

The stability of the earth's temperature over time has been a long - standing climatological puzzle.

This remarkably detailed archive of climatological evidence clearly allows for CO2 acting as a cause for rising temperatures, while also revealing it can be an effect of them.

Other major global land temperature reconstructions by NASA, NOAA, and the Hadley Center largely rely on the same set of monthly data from about 7,000 stations that comprise the Global Historical Climatological Network (GHCN - M).

Gallo, K., et al. (1996) The Influence of Land Use / Land Cover on Climatological Values of the Diurnal Temperature Range.

«Our results demonstrate that the climatological relationship between mean monthly temperature and snowfall is neither simple nor straightforward.

My understanding is that there is limited tuning to improve the climatological average and short - term variability, but not to «fit» GCM output to global average temperatures.

So, for example, HadCRU and GISS each provide a climatological datum of mean global temperature for a single year and present it as a difference (i.e. an anomaly) from the average mean global temperature of a 30 year period.

Normal, non-ideology-based scientists question the veracity of the CRU — IPCC flavoured results just because the JBM camaraderie - based group did refuse to honour such requests and people ask the following question: why, if both the empirical results — the raw data (including the nitty - gritty details of the temperature measurements) AND the theoretical model - based machinery are above board and the overall climatological picture of a man (n)- made warming is pretty much a safe bet, why then would some AGW researchers like the JBM gang refuse to accept that they, too, have got to conform to normal scientific procedure and release the raw data and the details of the theoretical machinery used to understand those data?

CAMS station surface air temperature anomalies for the globe with respect to the 1971 - 2000 climatological base period.

I'm sure as time goes on and you can better incorporate topographic, more temperature records, and more climatological factors; the temperature construction will become more accurate.

-- For the locations in the contiguous U.S. examined in this study, the past six years (POR 2011 - 2016) have seen average annual temperatures that are 1.2 °F above the current 30 - year climatological average used by NOAA (1981 - 2010).

A subset of the 7,000 or so co-op stations are part of the U.S. Historical Climatological Network (USHCN), and are used to create the official estimate of U.S. temperatures.

Provisional estimates of average global temperatures based on monthly climatological land - station and sea - surface temperature records have suggested it could be the warmest year on record.

The problem is that whatever temperature signal they carry is of questionable resolution, and is commingled with whatever myriad of other factors that influence coral growth rates, or the relative populations of differing microfauna, or Isotope ratios in dissolved gases trapped in ice, or the growth rate of trees... None of these issues would lead any rational person to view the application of these proxies in determining climatological fluctuations on the order of fractions of a degree celsius annually.

Temperatures for 2017 were higher than the 1981 — 2010 climatological average over most regions of the world.

When it is warmer than the climatological average (and therefore a positive temperature anomaly) in a particular location, it is generally also warmer than average over hundreds of kilometres — corresponding to the mean synoptic weather pattern — even though the actual temperature may be quite different from location to location.