Sentences with phrase «monthly global average»

Scientists have recorded that monthly global average CO2 concentrations has exceeded 400 ppm in March 2015.

Greenhouse gas benchmark reached For the first time since we began tracking carbon dioxide in the global atmosphere, the monthly global average concentration of this greenhouse gas surpassed 400 parts per million in March 2015, according to NOAA's latest results.

According to the US National Oceanic and Atmospheric Administration (NOAA), monthly global average concentrations of the gas surpassed 400 parts per million in March 2015 for the first time since the administration began tracking carbon dioxide in the atmosphere.

Even if your diagnosis of monthly average was correct (it isn't), a monthly global average is not about weather.

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.

I compute the trends as simple linear least squares fits through the monthly global average temperature anomalies for each dataset (from Figure 1).

In May, the National Oceanic and Atmospheric Administration (NOAA) announced that the monthly global average concentration of carbon dioxide in the atmosphere had exceeded 400 parts per million for the first time since it had been compiling the data in 1979.

Just like the stock market, monthly global average temperature numbers go up and down with a certain random variance.

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.

This is indicative of the global market where a total of around US$ 60 billion was issued in August, September and October, compared to a monthly average of US$ 50 billion prior to the turbulence.

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.

Daily records from Manhattan's Central Park show that average monthly temperatures already increased by 3.6 degrees Fahrenheit from 1901 to 2000 — substantially more than the global and U.S. trends.

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).

This is the first time in the NOAA record that a monthly temperature departure from average exceeded 1 °C or reached 2 °F and the second widest margin by which an all - time monthly global temperature record has been broken.

The June globally averaged sea surface temperature was 1.39 °F above the 20th century monthly average of 61.5 °F — the highest global ocean temperature for June in the 1880 — 2016 record, surpassing the previous record set in 2015 by 0.05 °F.

July 2016 had the lowest monthly global temperature departure from average since August 2015 and tied with August 2015 as the 15th highest monthly temperature departure among all months (1,639) on record.

The May globally averaged sea surface temperature was 1.37 °F above the 20th century monthly average of 61.3 °F — the highest global ocean temperature for May in the 1880 — 2016 record, surpassing the previous record set in 2015 by 0.09 °F.

This was also the highest monthly global land temperature departure from average since April 2016.

The April globally averaged sea surface temperature was 1.44 °F above the 20th century monthly average of 60.9 °F — the highest global ocean temperature for April in the 1880 — 2016 record, surpassing the previous record set in 2015 by 0.25 °F and besting 1998, the last time a similar strength El Niño occurred, by 0.43 °F.

The July globally averaged sea surface temperature was 1.42 °F above the 20th century monthly average of 61.5 °F — the highest global ocean temperature for July in the 1880 — 2016 record, surpassing the previous record set in 2015 by 0.07 °F.

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 September globally averaged sea surface temperature was 1.33 °F above the 20th century monthly average of 61.1 °F, tying with 2014 as the second highest global ocean temperature for September in the 1880 — 2016 record, behind 2015 by 0.16 °F.

Cupid reports average monthly global sales of around $ 9 million USD.

The Global Hot Potato portfolio, rebalanced monthly, gained an average of 16.7 % per year from the start of 1981 to the end of 2015.

Over the 14 — year period ending Feb. 28, 2017, the S&P Global Natural Resources Index, which is designed to provide market participants with an equity - based approach to natural resource investments through its three commodity - related sectors (agribusiness, energy, and metals & mining), has outperformed the S&P Global BMI by a monthly average of 36 bps in high - inflation months.

Exhibit 1 shows the rolling two - year correlation of the average monthly return of unconstrained bond funds to that of the U.S. and global aggregate bond indices.

UK games rank among the most popular in the world, with Creative Assembly's Total War ™ series seeing a franchise record - breaking monthly average of 1.2 m global players in 2017.

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.

My amateur spreadsheet tracking and projecting the monthly NASA GISS values suggests that while 2018 and 2019 are likely to be cooler than 2017, they may also be the last years on Earth with global average land and ocean surface temperature anomaly below 1C above pre-industrial average (using 1850 - 1900 proxy).

I have a question about the availability of global monthly average temperatures (not anomalies).

This means, monthly global temperatures have not fallen below average for...

This February's sea surface temperatures were 1.46 degrees above average, which means the past nine months have been the nine highest monthly global ocean temperature departures on record.

For the first time since the federal government began tracking carbon dioxide in the global atmosphere, the monthly average concentration of this greenhouse gas surpassed 400 parts per million in March 2015, according to latest results.

In monthly Rasmussen polling over the past two years, an average of 46 percent of those polled said that natural causes are responsible for global warming, while an average of 38 percent answered that human activity is the cause.

Monthly and 12 - month average global temperature development, showing (with only December data still missing) 2017 will likely rank as the third hottest year on record, despite a developing La Niña.

This southern polar zone experienced average monthly temperatures as much as 8.7 above the global average across a relatively broad zone.

Yesterday, NOAA scientists reported that in March 2015 the monthly average global carbon dioxide level went above 400 parts per million for the first time.

So far, I can think of two ways to produce a single global series (a row method and a column method, if you will): (1) average all the available data over all stations by year - month, disregarding any missing values, then average the monthly series by year to get average annual; (2) average each station by year, omitting any years for each station where there are one or more months missing in the station's data, then average over all the stations by year.

New reports out from NOAA today showed that in March of this year global average CO2 levels broke the 400 parts per million monthly average for the first time in the climate record.

«The latest (February 2012) monthly global temperature anomaly for the lower atmosphere was minus 0.12 degrees Celsius, slightly less than the average since the satellite record of temperatures began in 1979.»

In reconstructing the changes in global mean temperature since 1850, Berkeley Earth has examined 16 million monthly average temperature observations from 43,000 weather stations.

The NASA GISTEMP global average surface temperature data have been updated to include January 2016, which had the largest monthly temperature anomaly ever recorded: 1.13 °C elsius above the 1951 - 1980 baseline.

Hemispheric and global averages as monthly and annual values are available as separate files»

I know that the data that is presented on global temperatures daily, monthly and yearly, is not raw data; it has had a considerable amount of processing before it is presented as an average global temperature.

Among the many sources of error they ignored are: measurement error of the satellite, error in averaging satellite measurements to a monthly «regional» average, error in averaging those to a «global annual mean net».

When scientists in the 1960s - 70s compiled data to build their global average temperature series they used state averages of monthly mean temperatures from weather stations around the world.

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).

Monthly averages of global mean surface temperature (GMST) include natural variability, and they are influenced by the differing heat capacities of the oceans and land masses.

Running twelve - month averages of global - mean and European - mean surface air temperature anomalies relative to 1981 - 2010, based on monthly values from January 1979 to March 2018.