Sentences with phrase «station selection bias»

Skeptics claimed that there was a station selection bias.

was not that warming has occurred; it was that the level of warming was not affected by station selection bias, by homogenization bias, by poor station quality.

This approach eliminates station selection bias.

When we apply our approach to the complete data collection, we will largely eliminate the station selection bias, and significantly reduce statistical uncertainties.

To avoid such station selection bias, Berkeley Earth has developed techniques to work with all the available stations.

Not exact matches

We carefully studied issues raised by skeptics: biases from urban heating (we duplicated our results using rural data alone), from data selection (prior groups selected fewer than 20 percent of the available temperature stations; we used virtually 100 percent), from poor station quality (we separately analyzed good stations and poor ones) and from human intervention and data adjustment (our work is completely automated and hands - off).

They specifically wanted to answer the question is «the temperature rise on land improperly affected by the four key biases (station quality, homogenization, urban heat island, and station selection)?»

We carefully studied issues raised by skeptics: biases from urban heating (we duplicated our results using rural data alone), from data selection (prior groups selected fewer than 20 percent of the available temperature stations; we used virtually 100 percent), from poor station quality (we separately analyzed good stations and poor ones) and from human intervention and data adjustment (our work is completely automated and hands - off).

It is the data that is most greatly affected by the most contentious issues: data selection bias, urban heat island, and station integrity issues.

The selections of stations made for GSN by Peterson, T.C., Daan, H. and Jones, P.D (1997), and for global monitoring and trend estimation by Jones and Moberg (2003) cited above were carefully made to avoid severe urban biases.

The weighting scheme used to rate stations for the initial selection in the GSN clearly indicates the biases climatologists have in favor of stations that have been in operation for a long time, that are rural, are agricultural research sites, and are distributed throughout the world with increasing density the farther they are away from the tropics.

Few papers claim to confirm independently the evolution of temperatures in the twentieth century, to my knowledge, there could have been: — Gergis 2012 (the paper is withdrawn due to a significant error discovered on ClimateAudit), — Marcott 2013 (very poor resolution and various tricks), — Tingley and Huybers 2013 (temperature of stations dominate the reconstruction in the twentieth century), — Briffa 2013 (selection bias and lack of standardization).

Berkeley Earth also has carefully studied issues raised by skeptics, such as possible biases from urban heating, data selection, poor station quality, and data adjustment.

They specifically wanted to answer the question is «the temperature rise on land improperly affected by the four key biases (station quality, homogenization, urban heat island, and station selection)?»