Sentences with phrase «temperature trend estimates»

These datasets are currently the main data sources used to construct the various weather station - based global temperature trend estimates.

The NASA Goddard Institute for Space Studies (NASA GISS) is one of the five groups that currently publish global temperature trend estimates from weather station records, i.e., they produce one of the curves we showed you at the start of this essay in Figure 1.

The government dataset, called the National Oceanic and Atmospheric Administration's Extended Reconstructed Sea Surface Temperature version 4, increased the sea surface temperature trend estimate over the last 18 years from 0.07 ° Celsius per decade to 0.12 ° Celsius per decade, partly because of adjustments for different types of measuring instruments.

However, in this study, these contradictions are resolved, and it is shown that poor station quality has introduced a noticeable warming bias into temperature trend estimates for the U.S.

While there remain disparities among different tropospheric temperature trends estimated from satellite Microwave Sounding Unit (MSU and advanced MSU) measurements since 1979, and all likely still contain residual errors, estimates have been substantially improved (and data set differences reduced) through adjustments for issues of changing satellites, orbit decay and drift in local crossing time (i.e., diurnal cycle effects).

We discuss microclimate biases («poor station exposures») in our «Has poor station quality biased U.S. temperature trend estimates?»

When Hansen and his colleagues first started publishing their global temperature trend estimates in the early 1980s, they did not seem to have considered urbanization bias, e.g., Hansen et al., 1981 (Abstract; Google Scholar access).

«The United States temperature trends estimated from the relatively few stations in the classes with minimal artificial impact are found to be collectively about 2/3 as large as US trends estimated in the classes with greater expected artificial impact,» the researchers report.

In a nutshell, we found that urbanization bias has seriously affected the various global temperature trend estimates.

Since 1999, they have been running this program on their data before they construct their global temperature trend estimates — see Hansen et al., 1999 (Abstract; Google Scholar access).

As a result, their «urbanization bias - corrected» global temperature trend estimates was pretty much the same as the estimates of the other groups who didn't apply any urbanization bias corrections (you can see this by looking back at Figure 1, at the start of the essay).

NOAA's National Climatic Data Center compile and maintain the main weather station datasets used by the five groups currently publishing global temperature trend estimates, i.e., the ones we mentioned at the start of the essay in Figure 1.

However, the net effect of the adjustments on their global temperature trend estimates was very small (roughly -0.05 °C / century).