Station of the Week

Each week, you will find here the long-term temperature record of a weather monitoring station somewhere in the world. But unlike the city-based stations so favoured by the major climate groups and the IPCC, the ones shown here will be `clean', that is, located in a rural or isolated area free of errors from urban heat islands.

Here is the 20th century history of `Global Mean Temperature' as the greenhouse industry would have us believe, based on an averaging of surface stations, mostly city-based, from around the world. Note the post-1970s warming, a warming not evident in the satellite record of global temperature (as shown on the main page).

See if the `Station of the Week' (below) has a record anything like the one claimed here for the globe as a whole. Both the global average and the `station of the week' originate from the same source, the Goddard Institute for Space Studies

All stations previously shown here are also available at the Stations Page

Here is the temperature record for De Bilt, Netherlands sent to me recently by a Dutch correspondent.

As we can readily see, De Bilt shows a clear warming toward the end of the 20th century. The impression is given to the public that these are the actual measured temperature averages for this station. In fact they are not. They are adjusted temperatures, adjusted for unspecified `inhomogeneities'. De Bilt is listed by NASA-GISS as having a population of 33,000, not exactly rural, but not excessively urban either, the station itself lying 5 kilometres east of the city of Utrecht.

Using both the adjusted data and the raw data, the graph below compares the two data streams. The red line is the `adjusted' data and shows a clear warming, just like the bar graph above. But the blue line shows the raw data and does not show a warming at all, merely a recovery in recent years to temperature levels which existed before 1950.

The `warming' at De Bilt has been achieved entirely by the adjustment process itself. Normally an urban station would have the past data for its `adjusted' graph lying above the unadjusted graph, not below it as is the case here. This allows any urban warming effect to be corrected by `warming' the past data relative to the present by an amount sufficient to compensate for urban heat island growth over the decades.

But they have done the reverse at De Bilt by cooling the past data instead of warming it, thus intensifying the urban effect on the data instead of neutralising it.

There is no `discernible human influence' on the background climate at De Bilt. Rather, there is a very discernible human influence on the data supplied to the public.