Sentences with phrase «air data showed»

The Climate Central analysis of San Joaquin Valley air data showed that while the number of days each year on which levels of PM2.5 exceeded federal standards declined by about 45 percent overall from 2000 to 2016, they increased by almost a third during the peak summer fire season.

The AIRS data show the same trend: if one compares the color changes for one specific month over 5 years, that represents about 10 ppmv increase, similar to the station data...

Not exact matches

That came in the form of an online air quality management platform, which employs both historical and real - time data to make future projections for different pollutant levels and show air quality trends.

Had Facebook audited Cambridge Analytica's data holdings, Facebook could have prevented the privacy scandal that has enveloped the company, Sandberg told NBC's Savannah Guthrie during an interview on Friday's Today show, part of which aired Thursday night.

Air pollution can lead to a cornucopia of life - threatening diseases, and new data from the World Health Organization (WHO) shows that 80 % of cities aren't meeting guidelines.

Japanese government data that was translated for Business Insider by Dr. Nori Katagiri, an assistant professor of political science at Saint Louis University and the inaugural visiting research fellow for the JASDF Air Staff College, shows that China has dramatically increased its naval and aviation activity since 2012 — prior to which there was virtually no activity.

Cambridge Analytica, a data science company that worked for President Trump's campaign, announced Tuesday that it has suspended chief executive Alexander Nix after a British television station aired secretly recorded video that appeared to show him talking about entrapment as a way to win campaigns.

This, he said, was not beneficial for Nigeria economically and health-wise, as data at the disposal of government showed that thousands of women and children had died as a result of diseases caused by firewood and kerosene polluted air.

«The data from monitoring sites across western Europe shows PM2.5 levels are going down,» says Gavin Shaddick of the University of Bath, UK, who develops air pollution models for the WHO.

Of the monitoring sites, Davenport had the highest PM2.5 concentration — although within federal air - quality standards — with the highest iron, zinc, and lead concentrations, the data showed.

In 2012 and 2013, Chinese «netizens» realized that domestic air quality data were far rosier than international measurements showed — and that coal use was the main culprit.

And both the UN and ISAF data sets show a drop in deaths due to air strikes last year, by 50 % and 10 %, respectively.

At midsummer, the data shows that the air that has warmed the most is 2 kilometres above land.

I am very cuious if you found a variance between Upper Air and Surface warming... I calculated total amospheric refraction temperatures, ie from data extracted by analyzing optical effects, some of my results show an impressive yearly warming trend, much stronger than the surface based one.

After sifting through these data, the team showed that a rise in CO2 levels of 22 parts per million in air boosted the amount of the sun's heat on the ground by 0.2 watts per square meter.

Aliso Canyon well SS25 (labeled in red) released enormous amounts of methane into the air above the Los Angeles Basin, new data show.

Analyses of the ground and aircraft data performed by Setyan et al. (2012), Shilling et al. (2013), and Kleinman et al. (2016) showed that organic aerosol production increased when human - caused emissions from Sacramento mixed with air rich in isoprene, an organic compound wafting from many plants that originate in the area's foothills.

This animation shows how the same temperature data (green) that is used to determine the long - term global surface air warming trend of 0.16 °C per decade (red) can be used inappropriately to «cherrypick» short time periods that show a cooling trend simply because the endpoints are carefully chosen and the trend is dominated by short - term noise in the data (blue steps).

For a person running at a typical casual runner's pace of 2.5 meters per second (9 km / hr, or 5.6 mph) it can be shown, based on data collected by LG Pugh for the study titled «The influence of wind resistance in running and walking and the mechanical efficiency of work against horizontal or vertical forces,» that the energy cost of air resistance while running on solid ground is roughly 0.84 calories per kilometer (this is equivalent to approximately an extra 1.2 % calorie burn relative to a runner on a treadmill).

For example, someone gazing at a stream could see an image of that watercourse a century ago, or an animation showing air mixing into the water via its churning motion, or an explanation of how to collect turbidity data for the stream using probeware attached to the mobile device.

Depending on the level of service to which an organisation subscribes, it will provide regular pdf updates, sent to a phone if required, showing forecast data for RST (road surface temperature — much more relevant than air temperature when deciding when to grit), rainfall, falling snow and road state.

iOS was found to have led Android on both Black Friday and Cyber Monday in generating online traffic and sales, latest data from analytics firm Localytics shows that new iPad Air activations were far greater than any other tablet sold during this period.

The raw data shows the hockey stick so the quibbling about statistics (always a suspect activity) is just so much hot air.

Just two remarks: you keep on saying that the effect of increased cloudiness «should be warming», whereas the data shown in the article clearly show the opposite (more clouds cause lower surface level air temperatures).

I am very cuious if you found a variance between Upper Air and Surface warming... I calculated total amospheric refraction temperatures, ie from data extracted by analyzing optical effects, some of my results show an impressive yearly warming trend, much stronger than the surface based one.

But as the above links show, the air temperature data trend seems to conflict with the permafrost temperature trend for much of Alaska.

Stomata data show a much larger variation of CO2 in the last millenium (besides higher values in general), in part caused by the smoothing effect of relative slow closing air bubbles in ice cores...

Historical data show robust demand for air and freight energy use as a function of wealth.

And yet, when you do trends of global data you are averaging air temperatures over intervals where the heat content is not continuous, and thus the trend that is the average temperature does not show the actual trend of the heat content.

However, there was one post yesterday featuring a photo of a weather station positioned near an air - conditioner along with the data series from that particular station showing a jump in temperature.

AIRS and Mauna Loa raw data, AIRS showing 6ppm daily fluctuation at 25,000 feet.

So the infilled GISS data, which extends out over the Arctic, would show the greater warming since the 1970s... until the warming stops for Northern Hemisphere sea surface temperatures and for the low - to - mid latitude land surface air temperatures.

Using this believe, that icecores hold 83 younger air made tha ice cores show results that continously fit the data of the 1970» ies.

By contrast, there is quite a lot of data now telling us that CO2 is not a climate driver: We did the experiment of adding a large slug of CO2 to the air and the temperature stopped rising in 1997, the stratosphere stopped cooling in 1995 and the oceans showed no warming down to 700m when we replaced guesswork with accurate measurement in 2003.

The antarctic ice winter max decreased by about one third during this period, and the HadCRUT temp data base for that region during that period does show a substantial surface air temperature warming trend.

The daily temperature data show that for the majority of the High Plains region, the first half of the month was dominated by cold air, with below normal temperatures.

The trend shown by the Hadcrut data may be true but its magnitude may be amplified by corrupted data as noted by our mad lord and others (eg weather stations located next to air conditioner units etc).

Sounds like «guess at the numbers» to me... particularly when (as I show in Figure 3 above) the results don't agree with the air temp data.

The data showed fast deterioration of air quality as cities in low - income countries grow unchecked and smog and soot from construction sites, transport, industry, farming and wood - burning in home exacerbates air conditions.

If in the radiosonde data water vapor amount has declined it the past 60 years globally (as the 2010 paper Fig 9 shows), this might also mean that more water in the air is there in clouds as ice.

In 2012 and 2013, Chinese «netizens» realized that domestic air quality data were far rosier than international measurements showed — and that coal use was the main culprit.

A study using data from Polar drifting ice buoys showed that near surface air temperatures over the pack ice are relatively homogenous, with a CLS (correlation length scale) of 900-1000 km, see (Rigor 2000).

Reference with some data: «This shows that with upslope winds, the data is influenced by local CO2 depleted air.

I'd suggest that wind direction could blow warm air off the tarmac on occasion, but it didn't show up in any remarkable way in the data I examined.

Murry Salby who is suggesting that ocean and soil moisture data shows that the observed rise in atmospheric CO2 might well be entirely from natural causes and Roy Spencer who suggests that variations in oceans and sun affecting global cloudiness make it impossible to verify the sign of the climate system response to more CO2 in the air.

Our industry's commitment to protecting the environment shows in recent EPA air quality data and other benchmarks.

The upper panel shows the air temperature at the summit of the Greenland Ice Sheet, reconstructed by Alley (2000) from GISP2 ice core data.

It has been shown, for example by [Parker et al., 1994], that this is the case, and that marine SST measurements provide more useful data and smaller sampling errors than marine air temperature measurements would.

«The data are very strong that the planet is warming, as shown by analyses by NASA, NOAA, the Berkeley Earth group and others, by data from thermometers in the air including those well away from cities, thermometers in the ocean and in the ground, taken up by balloons and looking down from space, and changes in temperature - sensitive snow and ice and plants and animals,» said Alley.

Figure 2.4 (Folland et al., 2001) shows simulations of global land - surface air temperature anomalies in model runs forced with SST, with and without bias adjustments to the SST data before 1942.