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Mark Svoboda
,
Doug LeComte
,
Mike Hayes
,
Richard Heim
,
Karin Gleason
,
Jim Angel
,
Brad Rippey
,
Rich Tinker
,
Mike Palecki
,
David Stooksbury
,
David Miskus
, and
Scott Stephens

The Drought Monitor was started in spring 1999 in response to a need for improved information about the status of drought across the United States. It serves as an example of interagency cooperation in a time of limited resources. The Drought Monitor process also illustrates the creative use of Internet technologies to disseminate authoritative information about drought and to receive regional and local input that is in turn incorporated into the product. This paper describes the Drought Monitor and the interactive process through which it is created.

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Roger Pielke Sr.
,
John Nielsen-Gammon
,
Christopher Davey
,
Jim Angel
,
Odie Bliss
,
Nolan Doesken
,
Ming Cai
,
Souleymane Fall
,
Dev Niyogi
,
Kevin Gallo
,
Robert Hale
,
Kenneth G. Hubbard
,
Xiaomao Lin
,
Hong Li
, and
Sethu Raman

The objective of this research is to determine whether poorly sited long-term surface temperature monitoring sites have been adjusted in order to provide spatially representative independent data for use in regional and global surface temperature analyses. We present detailed analyses that demonstrate the lack of independence of the poorly sited data when they are adjusted using the homogenization procedures employed in past studies, as well as discuss the uncertainties associated with undocumented station moves. We use simulation and mathematics to determine the effect of trend on station adjustments and the associated effect of trend in the reference series on the trend of the adjusted station. We also compare data before and after adjustment to the reanalysis data, and we discuss the effect of land use changes on the uncertainty of measurement.

A major conclusion of our analysis is that there are large uncertainties associated with the surface temperature trends from the poorly sited stations. Moreover, rather than providing additional independent information, the use of the data from poorly sited stations provides a false sense of confidence in the robustness of the surface temperature trend assessments.

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