Sentences with phrase «global averages using»
We did this by getting grid - cell temperature data and aggregating these into a global average using land - area weights from our own research.
https://www.nybooks.com/ Not exact matches
Participants in the test group are mostly male with a 40 - plus average age and have taken to using the app quite quickly, according to Chestnut Global Partners VP of Sales Tom Shjerven and Orcas CEO Michael Mulvihill.
Represents percentage change compared to prior year period in average global rental rate per day on power units using constant currency.
Its profitability depends greatly on energy costs and, while Fundstrat's model uses a global average of 6 cents per kilowatt hour, Chinese miners apparently only have to pay 4 cents or less.
Global giants like HSBC, Deutsche Bank and Barclays and specialized private banks like Edmond de Rothschild use our platform to reach everyone from the ultra-high net worth investor to the average saver.
Indeed, Dow Jones likens the Global Dow to a Dow Jones industrial average for the global economy, and the Averages Committee selects the components of the index using objective criteria such as market capitalization, as well more subjective factors like a company's reputation and to what extent it is of interest to inveGlobal Dow to a Dow Jones industrial average for the global economy, and the Averages Committee selects the components of the index using objective criteria such as market capitalization, as well more subjective factors like a company's reputation and to what extent it is of interest to inveglobal economy, and the Averages Committee selects the components of the index using objective criteria such as market capitalization, as well more subjective factors like a company's reputation and to what extent it is of interest to investors.
The Global Economic Policy Uncertainty (EPU) Index is calculated as the GDP - weighted average of monthly EPU index values for the U.S., Canada, Brazil, Chile, the U.K., Germany, Italy, Spain, France, the Netherlands, Russia, India, China, South Korea, Japan, Ireland and Australia, using GDP data from the International Monetary Fund's (IMF) World Economic Outlook Database.
The LCA examined the effects of a 1 kilogram industry - average corrugated product manufactured in 2014 on seven environmental impact indicators: global warming potential (greenhouse gas emissions), eutrophication, acidification, smog, ozone depletion, respiratory effects, fossil fuel depletion; and four inventory indicators: water use, water consumption, renewable energy demand, and non-renewable energy demand.
The report found that while disposable nappies used over 2 1/2 years would have a global warming impact of 550 kg of CO2 reusable nappies produced 570 kg of CO2 on average.
IPCC estimates, using the best and longest record available, show that the difference between the 1986 - 2005 global average temperature value used in most of the Panel's projections, and pre-industrial global average temperature, is 0.61 °C (0.55 - 0.67).
While the temperature spiral showed the global average temperature, Lipponen's animation uses NASA data to show individual countries separated by regions.
But rather than using the baselines those agencies employ, Climate Central compared 2016's temperature anomalies to an 1881 - 1910 average temperature baseline, the earliest date for which global temperature data are considered reliable.
Three approaches were used to evaluate the outstanding «carbon budget» (the total amount of CO2 emissions compatible with a given global average warming) for 1.5 °C: re-assessing the evidence provided by complex Earth System Models, new experiments with an intermediate - complexity model, and evaluating the implications of current ranges of uncertainty in climate system properties using a simple model.
There are more than a dozen widely used global climate models today, and despite the fact that they are constantly being upgraded, they have already proved successful in predicting seasonal rainfall averages and tracking temperature changes.
«The result is not a surprise, but if you look at the global climate models that have been used to analyze what the planet looked like 20,000 years ago — the same models used to predict global warming in the future — they are doing, on average, a very good job reproducing how cold it was in Antarctica,» said first author Kurt Cuffey, a glaciologist at the University of California, Berkeley, and professor of geography and of earth and planetary sciences.
The second simulation overlaid that same weather data with a «pseudo global warming» technique using an accepted scenario that assumes a 2 - to 3 - degree increase in average temperature, and a doubling of atmospheric carbon dioxide.
Global surface temperatures in 2016 averaged 14.8 degrees Celsius (58.64 °F), or 1.3 C (2.3 F) higher than estimated before the Industrial Revolution ushered in wide use of fossil fuels, the EU body said.
First, Ramanan Laxminarayan of the Center for Disease Dynamics, Economics and Policy in Washington DC and his colleagues calculate that if rich countries and China cap their use of antibiotics in farming at the global average, overall use in that sector should be 60 per cent lower in 2030.
That's the finding of a new study published on Thursday in Science, which uses updated information about how temperature is recorded, particularly at sea, to take a second look at the global average temperature.
After this process was used by the researchers to determine new normal conditions for global average temperatures, it was used again to examine record hot seasonal temperatures at a regional level.
For analyses of present - day distributions (averaged for 2010 — 2014) data from 4,801 global monitoring sites were utilized; whilst for trend analysis for 2000 — 2014 data from 2,600 sites were used.
Third, using a «semi-empirical» statistical model calibrated to the relationship between temperature and global sea - level change over the last 2000 years, we find that, in alternative histories in which the 20th century did not exceed the average temperature over 500-1800 CE, global sea - level rise in the 20th century would (with > 95 % probability) have been less than 51 % of its observed value.
Globally, extremely warm nights that used to come once in 20 years now occur every 10 years.12 And extremely hot summers, those more than three standard deviations above the historic average, are now observed in about 10 % of the global land area, compared to 0.1 - 0.2 % for the period 1951 - 1980.13
The graphic displays monthly global temperature data from the U.K. Met Office and charts how each month compares to the average for the same period from 1850 - 1900, the same baselines used in the most recent report from the Intergovernmental Panel on Climate Change.
The Schneider et al. ensemble constrained by their selection of LGM data gives a global - mean cooling range during the LGM of 5.8 + / - 1.4 ºC (Schnieder Von Deimling et al, 2006), while the best fit from the UVic model used in the new paper has 3.5 ºC cooling, well outside this range (weighted average calculated from the online data, a slightly different number is stated in Nathan Urban's interview — not sure why).
Figure 3 is a similar graphic to that presented in Meehl et al. (2004), comparing the average global surface warming simulated by the model using natural forcings only (blue), anthropogenic forcings only (red), and the combination of the two (gray).
The study is updated regularly and shows that «the average 2006 disposable nappy would result in a global warming impact of approximately 550 kg of carbon dioxide equivalents used over the two and a half years a child is typically in nappies» (diapers).
«For reusable cloth nappies the study states «The baseline scenario based on average washer and drier use produced a global warming impact of approximately 570 kg of carbon dioxide equivalents.»
We used a 5 - d average for food intake for each condition to most accurately represent global changes in food intake that occurred during each condition.
To make the comparison a fair one, we used the same criteria to describe a «typical date night» (the meal, the wine, the movie, the taxi) and, converting global prices into NZD, we discovered that the average cost of a date worldwide is $ 118 (making a NZ night out pricer than the global average!).
To make the comparison a fair one, we used the same criteria to describe a «typical date night» (the meal, the wine, the movie, the taxi) and, converting global prices into USD, we discovered that the average cost of a date worldwide is $ 86.
Theoretically, it's even possible that the Lexus uses, say, the average pulse - width of all the IGF signals to do a global timing offset correction, or whatever else.
«Dow Jones» and Dow Jones Asia Pacific Select Dividend 30, Dow Jones China Offshore 50, Dow Jones Global Titans 50, Dow Jones Industrial Average and Dow Jones U.S. Select Dividend are licensed for use for certain purposes by BlackRock Asset Management Deutschland AG.iShares Dow Jones Asia Pacific Select Dividend 30 UCITS ETF (DE), iShares Dow Jones China Offshore 50 UCITS ETF (DE), iShares Dow Jones Global Titans 50 UCITS ETF (DE), iShares Dow Jones Industrial Average UCITS ETF (DE) and iShares Dow Jones U.S. Select Dividend UCITS ETF (DE) are not sponsored, endorsed, sold or promoted by Dow Jones and Dow Jones makes no representation regarding the advisability of investing in these products.
You'll never get sued if it's obvious you're totally guessing what future taxes will be by using something as inaccurate as an average global rate on everything.
You wouldn't use a 200 - day moving average for the S&P 500 SPDR Trust (SPY) to buy or sell the Global X Columbia 30 (GXG) or iShares MSCI Chile (ECH) or iShares Preferred (PFF) or PowerShares Bank Loan (BKLN).
Ray, I think Lee Grable's point is important: The fact that we use the term «global temperature» to mean the average temperature on a two - dimensional surface rather than the three - dimensional ocean plus land plus atmosphere system of the earth has the potential to allow confusion.
Am I that far off to say that the average reader who agrees with George Will is likely use their own experience of local weather as a guide to Global Warming?
[Notably, IPCC (1) used a global analysis from the UK Met Office that found the same average ship - buoy difference globally, although the corrections in that analysis were constrained by differences observed within each ocean basin (18).]
Since the CMIP5 models used by the IPCC on average adequately reproduce observed global warming in the last two and a half decades of the 20th century without any contribution from multidecadal ocean variability, it follows that those models (whose mean TCR is slightly over 1.8 °C) must be substantially too sensitive.
Personally I think the approach taken by Church and White (2006, 2011) probably comes closest to the true global average sea level, due to the method they used to combine the tide gauge data.
# 4 That Global mean trends are not simply averages of all weather stations has been discussed in many different ways, none of which meet such a simplistic sentence that I remember except comments to the effect how could a person discern if only one trend could be used or how much noise using all the trends entail.
(Using NASA GISS the global average over the last 5 years is 1.05 ºC above the global average for the start of the record 1880 - 99.
For instance, using the UAH troposphere numbers, the drop from January 2007 (recent peak) to January 2008 (recent dip) is 0.64 degrees C in the global average (it's 0.75 degrees in the GISS numbers).
Use those area - weights to construct the regional / global averages.
I think that only illustrates the bizarre use of the global average and models that in effect suggest cutting down trees would increase albedo and cool the planet.
Use the science to project SLR for this EXACT Location (and not global averages) on three levels — ie RCP3, RCP 8.5, plus the worst case scenario with zero mitigation and zero adaption ever.
Here is a zonally averaged mean temperature plot for six model configurations using GISS - E2 that have a range of about 1ºC in their global mean temperature.
This letter is to seek the involvement of the World Meteorological Society (WMO) in advancing world climate monitoring by a significant improvement in the method of gathering the temperature measurements used to calculate global average temperature at the Earth's surface so that the precision of this calculation can be increased.
Using monthly - averaged global satellite records from the International Satellite Cloud Climatology Project (ISCCP [5]-RRB- and the MODerate Resolution Imaging Spectroradiometer (MODIS) in conjunction with Sea Surface Temperature (SST) data from the National Oceanic and Atmospheric (NOAA) extended and reconstructed SST (ERSST) dataset [7] we have examined the reliability of long - term cloud measurements.
Nonetheless, there is a tendency for similar equilibrium climate sensitivity ECS, especially using a Charney ECS defined as equilibrium global time average surface temperature change per unit tropopause - level forcing with stratospheric adjustment, for different types of forcings (CO2, CH4, solar) if the forcings are not too idiosyncratic.