Sentences with phrase «mean climate biases»

Here, we investigate the extent to which these equatorial cold biases are related to mean climate biases generated in the extra-tropics and then communicated to the equator via the oceanic subtropical cells (STCs).

Not exact matches

Regional climate model bias correction improved the estimates on changes to future mean runoff

«When initialized with states close to the observations, models «drift» towards their imperfect climatology (an estimate of the mean climate), leading to biases in the simulations that depend on the forecast time.

That means most climate impact studies tend to have an «optimistic bias».

Regional climate model bias correction improved the estimates on changes to future mean runoff

An exposé of memetically induced cultural bias in a recent paper on «Professionals» Discursive Construction of Climate Change», that in my opinion undermines the objectivity of the work and robs the conclusions of any real meaning.

Likewise, homogenization is meant to adjust for changes and biases in station data, resulting in a dataset useful for climate research.

Dessler himself is a big warmist and expresses his bias this way: «Everything shows that the climate models are probably getting the water vapor feedback right, which means that unless we reduce emissions, it is going to get much, much warmer on our planet by the end of the century.,» That was in 2009.

This means the IPCC is tasked with finding a human effect of human carbon dioxide emissions on the climate, whereas NIPCC looks at climate change «in the round,» without bias.

Re the last part of your post: yes you are getting somewhere, yes I think your efforts here (on climate and other topics) are extremely impressive, yes we are all trying our best:) But no I don't think I've gotten through what it is I mean yet, regarding the way bias has crept in.

As Menne writes, «although homogenization generally ensures that climate trends can be more confidently inter-compared between sites, the effect of relative biases will still be reflected in the mean temperatures of homogenized series.»

Karl, T.R., C.N. Williams, Jr., P.J. Young, and W.M. Wendland, 1986: A model to estimate the time of observation bias associated with monthly mean maximum, minimum, and mean temperature for the United States, Journal of Climate and Applied Meteorology, 25, 145 - 160.

A present - day bias identified in climate projections means that future tropical rainfall may be underestimated.

In spite of well - known biases of tropospheric temperature and humidity in climate models, comparisons indicate that the intermodel range in the rate of clear - sky radiative damping are small despite large intermodel variability in the mean clear - sky OLR.

Because «natural cloud fluctuations in the climate system will cause a bias in the diagnosed feedback in the direction of positive feedback», which means those careless IPCC researchers have vastly overestimated the climate sensitivity.