Sentences with phrase «annual means of those data»

And in general, one could actually get a somewhat different trend using monthly data rather than the annual means of those data.

Not exact matches

CAP assumes annual wage growth matches the mean effect of experience and nonexperience on real wages measured in the NLSY data assuming full - time, full - year employment, and reports the cumulative difference between the no - leave earnings profile and the leave earnings profile over time.

In the United States, March retail sales, industrial production and housing figures all disappointed, and the persistent softness in U.S. economic data means the United States will struggle to hit the 3 % annual growth rate that investors had expected at the beginning of the year.

Gas bills for heat typically total $ 150 for the year, meaning the owners» total annual outlay for heating, cooling and electricity is less than $ 600 — some $ 1,000 less than traditional homes in the same zip code are paying, according to data from the U.S. Department of Energy.

Speaking in Paris last week at the fifth annual IT Seminar, organised by the International Data Corporation, de Benedetti painted a bleak picture of what the new divisions will mean.

A recent innovation in breast cancer biomarkers seeks the HER3 receptor instead, which could mean more comprehensive breast cancer imaging and potential treatments, say experts presenting data during the Society of Nuclear Medicine and Molecular Imaging's 2014 Annual Meeting.

Annual fire weather season length anomaly maps for a subset of known severe fire years are presented in Fig. 4 and anomalies for all years are presented in Supplementary Figs 1 — 4 and annual ensemble - mean anomaly data are available as Supplementary DAnnual fire weather season length anomaly maps for a subset of known severe fire years are presented in Fig. 4 and anomalies for all years are presented in Supplementary Figs 1 — 4 and annual ensemble - mean anomaly data are available as Supplementary Dannual ensemble - mean anomaly data are available as Supplementary Datdata are available as Supplementary DataData 1.

However, comparison of the global, annual mean time series of near - surface temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2data) shows a high correlation (r = 0.96) for the period 1955 to 2005.

After consideration of a range of elements of the water - energy dynamic (Hawkins et al., 2003), we made use of quarterly climatic data of 1961 - 90, mean annual precipitation and mean temperature (New et al., 1999).

Using Canadian non-interlisted stock data, I find that value firms with the highest Score had a mean annual return of 36.89 %, whereas the lowest Score portfolio had a mean annual return of -11.35 % from 1985 to 2009.

Using US stock data, I find that value firms with the highest Score had a mean annual return of 54.38 % from 1969 to 2011.

Making an exception here, one thing that the OCO - 2 data «means» is that in about a single year 3 small regions on this planet can add the Equivalent of 63 % of the total annual man - made GHG emissions to the atmosphere in one go!

Quoting: One persistent abuser of this technique is Pat Michaels, and in a recent piece he was unable to resist claiming that the century - scale trends (~ 0.8 C from 1891 - 1900 to 1991 - 2000 in the annual mean) seen in this extended Southern Greenland data apparently invalidate the notion of polar amplification as predicted by the «models».

This can be done a number of ways, firstly, plotting the observational data and the models used by IPCC with a common baseline of 1980 - 1999 temperatures (as done in the 2007 report)(Note that the model output is for the annual mean, monthly variance would be larger):

[Response: Or you could just look at the annual mean data for that station, and calculate an extremely significant trend of 0.91 + / - 0.47 deg C / century (95 % conf).

Estimates of the global and annual mean temperature based on a number of different data sets, including both traditional analyses as well as re-analyses (also see the last 15 years).

They make a great deal of the fact that we only plotted the ~ 50 year smoothed data rather than the annual means.

Estimates of the global and annual mean temperature based on a number of different data sets, including both traditional analyses as well as re-analyses

Take the annual mean data, fit a linear regression, examine whether slope of said regression is significantly greater than zero.

Basically, mathematicians have devised a means by which they can take oscillatory data and, in essence, subtract out known cycles in order to observe how the data is changing independent of these known annual, solar, and paleoclimatic cycles.

Further to my last post on the climate at Heathrow a couple of hours ago, I have now analysed the weather there and at Oxford since 1958 using annual rather than monthly data on sun, rain, CO2, and mean maximum temperature.

However, comparison of the global, annual mean time series of near - surface temperature (approximately 0 to 5 m depth) from this analysis and the corresponding SST series based on a subset of the International Comprehensive Ocean - Atmosphere Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2Data Set (ICOADS) database (approximately 134 million SST observations; Smith and Reynolds, 2003 and additional data) shows a high correlation (r = 0.96) for the period 1955 to 2data) shows a high correlation (r = 0.96) for the period 1955 to 2005.

An analysis of data pertaining to the period 1861 — 1986 reveals that (1) a 1 °C rise in the mean annual air temperature of the British Isles has historically been associated with a 35 % drop in the percentage of days that the United Kingdom has experienced cyclonic flow, and (2) a 2 °C increase in the mean annual air temperature over the sea to the north has typically been matched by a 60 % drop in the percentage of days that the isles have experienced cyclonic flow originating from that source region.

Here we construct a database of worldwide RS observations matched with high - resolution historical climate data and find a previously unknown temporal trend in the RS record after accounting for mean annual climate, leaf area, nitrogen deposition and changes in CO2 measurement technique.

-- 1.87 is the clear - sky, or the all - sky annual mean infrared optical thickness; — if clear - sky, how the cloudless cases were selected out from the radiosonde data set; — if it is the clear + cloudy (all - sky), how did he get it as global average value, when the cloud infrared optical depth is infinite (in half of the cases); — if 1.87 is for all - sky, how much is the clear - sky value (if he got it).

The annual mean minimum and maximum data are also linked below where available at locations surveyed by the Bureau of Meteorology in its analysis of «corrected» temperature trends from 1910 to 2008.

The data is annual data from 1955 to 1995, with a mean of 23.025 C, a Standard Deviation of 0.2981 C, and a trend of 0.05 + / - 0.08 C / 10 years, as determined by simple linear regression.

The link given in Jean's article appears to point to a graph of ANNUAL mean temperatures at Sodankylä, and the underlying data at the time of writing at:

Hovering over a station's dot will display some station information; clicking on it will produce an annual mean graph of the selected station and give access to the station data.

Analyses of tide gauge and altimetry data by Vinogradov and Ponte (2011), which indicated the presence of considerably small spatial scale variability in annual mean sea level over many coastal regions, are an important factor for understanding the uncertainties in regional sea - level simulations and projections at sub-decadal time scales in coarse - resolution climate models that are also discussed in Chapter 13.

An «estimate» and / or «reconstruction» of an annual or decadal temperature mean from data recorded only in June and July is just a «swag» (a scientific wild - ass guess).

Our results agree with recent studies that annual mean data - constraints from present day climate prove to not rule out climate sensitivities above the widely assumed sensitivity range of 1.5 — 4.5 °C (Houghton et al. 2001).

Simulations where the magnitude of solar irradiance changes is increased yield a mismatch between model results and CO2 data, providing evidence for modest changes in solar irradiance and global mean temperatures over the past millennium and arguing against a significant amplification of the response of global or hemispheric annual mean temperature to solar forcing.

All of these characteristics (except for the ocean temperature) have been used in SAR and TAR IPCC (Houghton et al. 1996; 2001) reports for model - data inter-comparison: we considered as tolerable the following intervals for the annual means of the following climate characteristics which encompass corresponding empirical estimates: global SAT 13.1 — 14.1 °C (Jones et al. 1999); area of sea ice in the Northern Hemisphere 6 — 14 mil km2 and in the Southern Hemisphere 6 — 18 mil km2 (Cavalieri et al. 2003); total precipitation rate 2.45 — 3.05 mm / day (Legates 1995); maximum Atlantic northward heat transport 0.5 — 1.5 PW (Ganachaud and Wunsch 2003); maximum of North Atlantic meridional overturning stream function 15 — 25 Sv (Talley et al. 2003), volume averaged ocean temperature 3 — 5 °C (Levitus 1982).

The mean air temperature (1906 - 2005) measured at the climate station Vent (1906 m a.s.l) was -1.6 °C and the mean annual lapse rate is 0.57 °C / 100 m. For additional information on the status of the glacier and on data relating to annual mass balance and other measurements, visit the WGMS Fluctuations of Glaciers Browser.

On blogs like Dr. Curry's I continually see learned, and heated, arguments over the meaning of fluctuations in the «annual temperature of the earth» in the hundredths of a degree range (sometimes thousandths), with data plotted over hundreds or thousands of years, while noticing that there doesn't seem to be a DEFINITION of the «Annual Temperature of the Earth» and that the climate science community, collectively, would be hard pressed to provide me with an «Annual Temperature of Bob's House» with a credible and defensible resolution and precision of + / -.01 degree, using an instrumentation system of their cannual temperature of the earth» in the hundredths of a degree range (sometimes thousandths), with data plotted over hundreds or thousands of years, while noticing that there doesn't seem to be a DEFINITION of the «Annual Temperature of the Earth» and that the climate science community, collectively, would be hard pressed to provide me with an «Annual Temperature of Bob's House» with a credible and defensible resolution and precision of + / -.01 degree, using an instrumentation system of their cAnnual Temperature of the Earth» and that the climate science community, collectively, would be hard pressed to provide me with an «Annual Temperature of Bob's House» with a credible and defensible resolution and precision of + / -.01 degree, using an instrumentation system of their cAnnual Temperature of Bob's House» with a credible and defensible resolution and precision of + / -.01 degree, using an instrumentation system of their choice.

However, the National Assessment Synthesis Team, co-chaired by Thomas Karl, Director of the National Climatic Data Center, took the result so seriously that they commissioned an independent replication of this test, only more inclusive, using 1 - year, 5 - year, 10 - year and 25 - year running means of the U.S. annual temperature.

For example, the HadCRUT3, GISS, etc. data sets of annual mean global temperature each report global temperature changes as differences from a 30 - year average.

HadCRUT3, GISS, etc. data sets report annual global temperature (i.e. climate data obtained over each of a series of years: one year climate data) but often add 5 or 10 year running means to graphical presentations of their data.

The wide range of studies conducted with the ISCCP datasets and the changing environment for accessing datasets over the Internet suggested the need for the Web site to provide: 1) a larger variety of information about the project and its data products for a much wider variety of users [e.g., people who may not use a particular ISCCP data product but could use some ancillary information (such as the map grid definition, topography, snow and ice cover)-RSB-; 2) more information about the main data products in several different forms (e.g., illustrations of the cloud analysis method) and more flexible access to the full documentation; 3) access to more data summaries and diagnostic statistics to illustrate research possibilities for students, for classroom use by educators, or for users with «simple» climatology questions (e.g., annual and seasonal means); and 4) direct access to the complete data products (e.g., the whole monthly mean cloud dataset is now available online).

«Based on a new analysis of passive microwave satellite data, we demonstrate that the annual mean extent of Antarctic sea ice has increased at a statistically significant rate of 0.97 % dec - 1 since the late 1970s.»

Correlation (color) and regression maps (contour) of SST (left) and SLP (right) associated with the first EOF modes of annual precipitation (a, b), low - frequency precipitation (c, d), and total water storage (e, f), which are calculated using annual mean data for the first EOF mode of annual precipitation, 10 - year running mean for precipitation, and 10 - year running mean leading with 5 - year for total water storage.

Correlation coefficients are calculated using annual mean data for the first EOF mode of annual precipitation, 10 - year running mean data for the low - frequency precipitation, and 10 - year running mean data leading with 5 - year for the total water storage.

Presumably if we did a 40 year smoothing on the temperature record of the last 100 years it would show a lot less variation than when we show the data in an annual form — but would it mean missing out a lot of the useful information and giving a misleading impression?

We blended surface meteorological observations, remotely sensed (TRMM and NDVI) data, physiographic indices, and regression techniques to produce gridded maps of annual mean precipitation and temperature, as well as parameters for site - specific, daily weather generation for any location in Yemen.

Firstly, we tested the hypothesis that there should be a positive relationship between mean annual ambient temperature and the proportion of males born [7], [11], [14] using historical data spanning 1876 — 2009.

Weak negative correlations were found between the mean annual NCEP RH and cirrus over oceans, but again, most of the data over oceans are in the air traffic corridors where contrail formation and raw aircraft emissions could affect the cirrus trends more than over land because of greater susceptibility in the more pristine marine air.

«The total mean mass of the atmosphere is 5.1480 × 1018 kg with an annual range due to water vapor of 1.2 or 1.5 × 1015 kg depending on whether surface pressure or water vapor data are used; somewhat smaller than the previous estimate.

«Much of the work has focused on evaluating the models» ability to simulate the annual mean state, the seasonal cycle, and the inter-annual variability of the climate system, since good data is available for evaluating these aspects of the climate system.

Dr Curry, I think the four types of constraints I found in the annual global mean data (albedo, cloud, energy budget, flux pattern) will severely limit the number of possible outcome scenarios.