Sentences with phrase «global average data»

I don't think he did anything with cloud height or cloud cover, so I'm confused by your question, but either way the plots reflect monthly global average data with a 12 running mean applied to smooth out the seasonal cycle.

Not exact matches

The U.S. Energy Information Administration (EIA) estimates that an average of 800,000 barrels per day in production were taken offline last month, contributing greatly to May's having the highest monthly level of unplanned global oil supply disruptions since the agency began tracking such data in 2011.

If you take a look at the global corporate history, you will see that the large cap stocks, also known as Blue Chip stocks are by and far the most consistently high performers in the market, even when you average them across decades of performance data.

The Dow Jones Industrial Average slumped but pared most of its losses as investors weighed global trade negotiations, central bank moves and the latest corporate earnings and manufacturing data.

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.

In Bangladesh, where infant formula isn't readily accessible, affordable or safe for most families, 98 percent of babies are breastfed and the average age of weaning is 33 months (source: WHO Global Data Bank on Infant and Young Child Feeding).

Feed with love and respect: According to the WHO Global Data Bank on Infant and Young Child Feeding, 98 % of babies in Bangladesh are breastfed and the average age of weaning is 33 months.

In contrast to these global trends among traditional societies and non-Western countries, U.S. government data estimates that fewer than 15 % of Americans continue nursing their infants after they are just six months old (while Canadians are slightly higher with an average of about 25 %).

Recent data from NASA and the UK's Hadley Centre show that the average global temperature rose by 0.33 °C between 1990 and 2006.

Combining the asylum - application data with projections of future warming, the researchers found that an increase of average global temperatures of 1.8 °C — an optimistic scenario in which carbon emissions flatten globally in the next few decades and then decline — would increase applications by 28 percent by 2100, translating into 98,000 extra applications to the EU each year.

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.

Climate Central scientists and statisticians made these calculations based on an average of global temperature data reported by NASA and the National Oceanic and Atmospheric Administration (NOAA).

My own recent global compilation of data from soil production studies, published last year in the Proceedings of the National Academy of Sciences USA, revealed an average rate of 0.00067 to 0.00142 inch a year — equivalent to 700 to 1,500 years to form an inch of soil.

Since 1990 rainfall has returned to the Sahel at levels slightly below the 1900 to 1993 average, according to Global Historical Climatology Network data.

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.

Ice core data from the poles clearly show dramatic swings in average global temperatures, but researchers still don't know how local ecosystems reacted to the change.

New global temperature data released on Friday by NASA put March at 2.3 °F (1.28 °C) above the 1951 - 1980 average for the month, making it the warmest March on record.

Average global land and ocean temperatures have climbed at a rate of 0.2 °C per decade since 1976, according to data compiled by the National Climatic Data Center (NCDC) in Asheville, North Carolina, and the World Meteorological Organization (WMO) in Geneva, Switzerldata compiled by the National Climatic Data Center (NCDC) in Asheville, North Carolina, and the World Meteorological Organization (WMO) in Geneva, SwitzerlData Center (NCDC) in Asheville, North Carolina, and the World Meteorological Organization (WMO) in Geneva, Switzerland.

We rejected any years in which there were missing months from the HadSST3 data analysis and we also calculated the global averages only for years in which at least half of the ocean surface consisted of valid data.

The major carbon producers data can be applied to climate models to derive the carbon input's effect on climate change impacts including global average temperature, sea level rise, and extreme events such as heat waves.

To show how close the world already is to surpassing those limits, Climate Central has been reanalyzing the global temperature data by averaging the NASA and NOAA numbers and comparing them to a baseline closer to preindustrial times.

According to these data, the AVERAGE GLOBAL TEMPERATURE for the first 9 months of 2008 is LOWER than the average from 2000 thru 2007 by an amount equal to 43.1 % of the total linearized increase (NOAA data) during the 20th cAVERAGE GLOBAL TEMPERATURE for the first 9 months of 2008 is LOWER than the average from 2000 thru 2007 by an amount equal to 43.1 % of the total linearized increase (NOAA data) during the 20th caverage from 2000 thru 2007 by an amount equal to 43.1 % of the total linearized increase (NOAA data) during the 20th century.

To show how close the world already is to reaching that limit, Climate Central has been reanalyzing the global temperature data each month, averaging together the NASA and NOAA numbers and comparing them to the average from 1881 - 1910, a time period closer to preindustrial times.

The National Oceanic and Atmospheric Administration released its temperature data through the end of October on Thursday and found that for the year - to - date, the global average temperature is 1.75 °F above the 20th century average of 57.4 °F.

According to NOAA data, the global average temperature for 2016 was 1.69 °F (0.94 °C) above the 20th century average and 0.07 °F (0.04 °C) above the previous record set last year.

Figure 2: The data (green) are the average of the NASA GISS, NOAA NCDC, and HadCRUT4 monthly global surface temperature anomaly datasets from January 1970 through November 2012, with linear trends for the short time periods Jan 1970 to Oct 1977, Apr 1977 to Dec 1986, Sep 1987 to Nov 1996, Jun 1997 to Dec 2002, and Nov 2002 to Nov 2012 (blue), and also showing the far more reliable linear trend for the full time period (red).

The 12 - month running average global temperature broke the record three times in 2010, according to NASA Goddard Institute for Space Studies (GISS) data.

According to NOAA data analyzed by the Rutgers Global Snow Lab, for the winter season, the contiguous U.S. snow cover extent was 62,000 square miles below the 1981 - 2010 average; this was the 23rd largest (27th smallest) winter snow cover extent for the contiguous U.S. and the smallest since the winter of 2011/12.

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.

The latest global averaged satellite temperature data for June 2009 reveals yet another drop in the Earth's temperature.

«Global mean time series of surface - and satellite - observed low - level and total cloud cover exhibit very large discrepancies, however, implying that artifacts exist in one or both data sets... The surface - observed low - level cloud cover time series averaged over the global ocean appears suspicious because it reports a very large 5 % - sky - cover increase between 1952 andGlobal mean time series of surface - and satellite - observed low - level and total cloud cover exhibit very large discrepancies, however, implying that artifacts exist in one or both data sets... The surface - observed low - level cloud cover time series averaged over the global ocean appears suspicious because it reports a very large 5 % - sky - cover increase between 1952 andglobal ocean appears suspicious because it reports a very large 5 % - sky - cover increase between 1952 and 1997.

* Surface temperature changes relative to 20th Century global average (1901 - 2000) Source data NOAA - NCEI State of the Climate: Global Analysis [Web + data dowglobal average (1901 - 2000) Source data NOAA - NCEI State of the Climate: Global Analysis [Web + data dowGlobal Analysis [Web + data download]

According to data from NOAA analyzed by the Rutgers Global Snow Lab, the Northern Hemisphere snow cover extent during April was 890,000 square miles below the 1981 — 2010 average.

With the aid of global Earth observations and data - driven models, the researchers show that on average, extreme events prevent the uptake of around 3 petagrams carbon per year by the vegetation.

The data for the year - to - date in 2012 reflect a very high ratio, much more than 2 to 1, and that highlights the fact that in any given year, a region as small as the U.S. can have very large departures from the global average.

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.

Kinne, S., et al., 2003: Monthly averages of aerosol properties: A global comparison among models, satellite, and AERONET ground data.

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).

Climate Central has combined the NOAA and NASA temperature data and recalculated the numbers relative to an earlier baseline, 1881 - 1910, for the global average temperature.

Which of the various data sets of average annual global temperature anomaly is closest to the truth?

The Global Report Card data provides information on the average level of student achievement in math and reading in virtually all U.S. school districts relative to the student achievement in a set of international peers.

Data on average credit card interest rates was obtained from S&P Global Market Intelligence.

That data says that 55 percent of current Playerunknown's Battlegrounds owners are also Counter-Strike: Global Offensive players with higher - than - average playtimes.

Fig. 4 The «Cold Sun» forecast of Vahrenholt and Lüning compared with global surface temperatures of the British Meteorological Service (HadCRUT data), moving average over 23 months to end of October 2016.

You can also see in this graph that the warming trend in the global data for the low troposphere, if we consider the whole set of data, i.e. from the average between 1980 - 1982 till now, with now meaning the average of the last three years, the warming trend is, AT MOST, 0.115 ºC / decade (0.3 ºC in 26 years), but the graph is going down recently, so it should be even less.

Fig. 5 The «Cold Sun» forecast of Vahrenholt and Lüning compared with global surface temperatures of the British Meteorological Service (HadCRUT data), running average over 37 months.

All I can say is that my funny internal feelings tell me that there is no hard data to show that average global temperatures, in 2007, are rising as fast as the GCMs predict.

As each station was selected (from random mouse - clicks all over the globe), I updated my global - average computations with that station's data.

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.