Sentences with phrase «other temperature analyses»

A comparison with other temperature analyses, such as the NASA / GISS (pink in the figure on the left), reveals differences.

Other temperature analyses suggest greater change (warming).

Other temperature analyses suggest greater change (warming).

Not exact matches

Among others, I have requested hearings on new findings on the impacts of climate change on agriculture, new findings regarding the probability that extreme weather events are influenced by climate change, and new analysis of earth surface temperatures.

Careful analysis of what frequencies are absorbed, and by how much, can directly reveal the presence of water vapor and other compounds, and can divulge climate parameters, such as temperature and pressure, that determine if liquid water is sustainable.

«Furthermore, our work focuses on increases / decreases in temperatures, but similar analyses are needed to estimate consensus changes in other meteorological variables such as precipitation.

On the other hand, statistical analysis of the past century's hurricanes and computer modeling of a warmer climate, nudged along by greenhouse gases, does indicate that rising ocean temperatures could fuel hurricanes that are more intense.

The analysis indicates that — once you control for all other place - specific factors like political institutions and levels of economic development — warmer than normal temperatures in the year prior to an election produce lower vote shares for parties already in power, driving quicker rates of political turnover.

Of course, how 2016 will ultimately rank is impossible to say at the moment, given other factors that could come into play and can't yet be predicted, but, as this analysis makes clear, the heat steadily building in the atmosphere is the major force pushing Earth's temperature ever higher.

To figure out the relative contributions from all these potential factors, the WWA program team did a simple analysis that matched up surface temperature measurements going back to 1880 with two other sets of data.

For this analysis, the research team examined impacts of population and temperature changes through 2050 in Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, Oklahoma, Tennessee and Texas, but Allen said that the method could be applied to other regions.

The odd man out in the analysis is the surface temperature trend which is much higher than the trends derived by other techniques.

If climate change continues unchecked, we could see similarly high temperatures in the Arctic every other year by the second half of this century, today's analysis suggests.

While a strong El Niño and other climate patterns are playing a role in regional and global temperatures, the vast majority of the excess heat this year comes from manmade global warming, a Climate Central analysis showed.

All data recorded during animal experiment will be supplied in a final report, i.e. clinical observations and monitored parameters like body temperature, weight, haematology or biochemistry analysis, animals» behaviour or any other information required by users.

The effect — strongest in autumn and winter — is related to the way that temperature and moisture are changing relative to each other, according to the new analysis.

In terms of tests, I've now had them all... the comprehensive blood panels + antibodies + other immune markers, temperature tests, stool analysis, saliva tests, allergy tests, etc..

However, other independent analyses have, based on a range of assumptions, methodologies and data sources, attempted to estimate the impact of the INDCs on temperature leading to a range of average estimates below, at or above 3 degrees C. Importantly all deliver more or less similar emission levels in 2025 and 2030 and all confirm that the INDCs, if fully implemented, are an important advance on previous scenarios.

Other odd choices are that they do not use all the years available for analysis, and they had different lags for differerent temperature measures.

The NWS has uses software for analysis of inconsistencies in data due to changes in station locations, vegetation and other characteristics that influence temperature and precipitation readings.

Another interesting outcome from the analysis so far regards the impact of temperature stations being located near buildings, car parks and other urban sources of heat.

A comprehensive new analysis of temperature changes over the continents through 2,000 years has found that a long slide in temperatures in most regions preceded the unusual global warming of recent decades, but with a lot of regional variability and other fascinating details.

This analysis supports the ECMWF statement, and was based on a few high - quality temperature series scattered across our planet, chosen to be sufficiently far from each other to minimize mutual dependencies that can bias the analysis.

The global mean temperature estimated from the ERAINT, however, is not very different from other analyses or reanalyses (see figure below) for the time they overlap.

Even if their data analysis is excluded, it does not alter the findings that were reported in the 2007 I.P.C.C. report with respect to the surface temperature trends, since these other analyses provide a redundant check of their analyses over the last century.

Indeed, the aforementioned statistical analysis suggested that by the year 2034, a March with sea temperatures as warm as in 2016 could happen every other year, as the planet continues to warm.

Further, NCEI's ocean surface temperature analysis disagrees substantially with NOAA's other SST data set (OISST), using satellite data and the buoys.

«It potentially does,» admits Jones, but says that analyses using other methods — proxy temperature markers from ice core samples, for example — still show much the same temperature change over the past 1,000 years, backing up Mann's hockey stick.

This discrepancy is associated with simulated increases in daily maximum temperature being larger than observed, and could be associated with simulated increases in cloud cover being smaller than observed (Braganza et al., 2004; see Section 3.4.3.1 for observations), a result supported by other analyses (Dai et al., 1999; Stone and Weaver, 2002, 2003).

Other research groups also track global temperature trends but use different analysis techniques.

Paleoclimatology estimates are based on analyses of ice cores and other paleo indicators that are used to estimate temperature changes and forcing changes.

The other thing is that SST and SAT have different variances and different uncertainties and they respond with different lags, so I UNLES Vaugh does some work with synthetic data FIRST to prove that the methods he applies to this data actually work, I'd say the signal analysis is flawed from the start since the «signal», the temperature curves are not really physical metrics.

Climate Reference Network (CRN) and Soil Climate Analysis Network (SCAN) are a collection of climate monitoring stations which track, among other things, soil moisture and temperature at a series of depths.

Barrett also predicted that this increase in CO2 «should increase the temperature by 0.3 °C; this trend might be detectable by careful analysis unless it is offset by other effects, such as those of aerosols».

DES MOINES (AP)-- Warmer and wetter weather in large swaths of the country have helped farmers grow corn, soybeans and other crops in some regions that only a few decades ago were too dry or cold, experts who are studying the change said... The change is due in part to a 7 % increase in average U.S. rainfall in the past 50 years, said Jay Lawrimore, chief of climatic analysis for the Asheville, N.C. - based National Climactic Data Center... Brad Rippey, a U.S. Department of Agriculture meteorologist, said warming temperatures have made a big difference for crops such as corn and soybeans... For example, data from the National Agricultural Statistics Service show that in 1980, about 210,000 soybean acres were planted in North Dakota.

They are simply a first estimate.Where multiple analyses of the biases in other climatological variables have been produced, for example tropospheric temperatures and ocean heat content, the resulting spread in the estimates of key parameters such as the long - term trend has typically been signicantly larger than initial estimates of the uncertainty suggested.

This is the first time this has been done for an historical SST analysis so we were keenly aware of what has happened when biases in other variables — troposphere temperatures and ocean heat content are the prime examples — have been assessed.

Comparisons with other temperature reports confirmed that suspicion and we added those reports to the list of suspicious data; note that we don't use such data in our analysis.

That is, (1) there is dO18 measurement, which I claim should be fairly precise, but you stated has large uncertainties, and then there is (2) derivation of temperature from dO18 values, where you have indeed pointed out that there could be a number of possibly confounding factors in that analysis if other variables than temperature are not controlled.

To assess the role played by climate change in the unusual conditions, the research team turned to historical meteorological observations to conduct an analysis segregating the contribution of pressure patterns and other factors, like ocean temperatures, to rainfall variability.

Other SAT data sets such as the Climatic Research Unit Temperature, version 4, (CRUTEM4; Osborn and Jones 2014), and the Merged Land — Ocean Surface Temperature analysis (MLOST), version 3.5, (Vose et al. 2012) give similar results (not shown).

+ For more information about how the GISS analysis compares to other global analysis of global temperatures, visit: http://earthobservatory.nasa.gov/blogs/earthmatters/2015/01/21/why-so-many-global-temperature-records/

«I was irked by the persistent use of wishy - washy terminology such as «likely» and «very likely» that was totally uncalled for... Such «social sciences» terminology might be allowable if there was no other available evidence for global warming except for the statistical analysis of a relatively short global temperature time - series (on which there is superimposed a substantial natural variability component).

For a complete analysis of other temperature dataset trends, go here.

Other analyses have revealed that increased temperatures are spreading rapidly across the world's oceans (measured as the movement of bands of equal water temperature or isotherms).

Spectral analysis, unless properly understood may lead to very misleading conclusions, here are shown four essential things one needs to be aware of all the time: On the other hand there are again unnoticeable data curiosities, this graph shows an unusual configuration within one of the top five temperature data sets used by the climate scientists in their calculations, predictions and computer models.

Where indeed is there any proof that tree rings analysis can be anything other than an indicator of what's good for trees, temperature being but one of many factors.

The fact that the tree ring analysis diverges from the known temperature during the last decades is a big CLUE about how useless the data is especially since the additional CO2 would have increased growth all other factors being the same.

It concluded that late 20th century Northern Hemisphere temperatures were not unprecedented, contradicting the majority of the other analyses which came before and after it.

Less so about Lomborg, not converting, because he has always been AGW - lite, but uping the ante, as it were; this new desire to spend completely contradicts his conclusions in his 2nd book, Cool It, at page 41, Figure 11, where Lomborg compares, in a cost / benefit analysis, all the various approaches to dealing with AGW; the most sensible, in that it is the only one in which the money worth of the benefits exceeds the costs, is option 1, the optimal, that is, doing nothing; the other options have a progressively worse cost / benefit ratio as the effort to «solve» AGW increases with the worse being an attempt to keep temperature increase to 1.5 C above what it is now which would cost $ A 85 TRILLION and have benefits worth $ A 11 TRILLION.