Monitoring Global Climate Change: The Case of Greenhouse Warming
- 1 January 1990
- journal article
- Published by American Meteorological Society in Bulletin of the American Meteorological Society
- Vol. 71 (1) , 42-52
- https://doi.org/10.1175/1520-0477(1990)071<0042:mgcctc>2.0.co;2
Abstract
Recent record high temperatures and drought conditions in many regions of the United States have prompted heightened concern about whether these are early manifestations of the global green house warming projected by the major climate models. An improved global climate monitoring and reporting capability is urgently needed in order to ensure that interpretation of climate trends and comparison with model projections are based on the mast complete and accurate datasets available. Priority should be placed on identifying those key variables for which data are already being collected, and then integrating these quality controlled datasets into one consolidated climate monitoring report that would be issued at regular intervals. Quality control is essential in order to avoid errors in the datasets that lead to misleading interpretations that further confound the identification of an anthropogenic climate change “signal” against the background of natural climate variability. Data on several key variab... Abstract Recent record high temperatures and drought conditions in many regions of the United States have prompted heightened concern about whether these are early manifestations of the global green house warming projected by the major climate models. An improved global climate monitoring and reporting capability is urgently needed in order to ensure that interpretation of climate trends and comparison with model projections are based on the mast complete and accurate datasets available. Priority should be placed on identifying those key variables for which data are already being collected, and then integrating these quality controlled datasets into one consolidated climate monitoring report that would be issued at regular intervals. Quality control is essential in order to avoid errors in the datasets that lead to misleading interpretations that further confound the identification of an anthropogenic climate change “signal” against the background of natural climate variability. Data on several key variab...Keywords
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