sets and to develop new and improved temperature algorithms. To ensure such access, the ongoing documentation of instrumentation and observing practices, the archiving of data sets, and the provision of raw and processed data sets in electronic form to the scientific community should be regarded as integral parts of the climate monitoring effort and afforded high priority in terms of funding.
(2) The scientific community should perform a more comprehensive analysis of the uncertainties inherent in the surface, radiosonde, and satellite data sets. Such an assessment should involve a detailed analysis of the sensitivity of global-mean temperatures derived from these three different measurement systems to the various choices made in the processing of the raw datae.g., corrections for instrument changes, adjustments for orbital decay effects in the satellite measurements, and procedures for interpolating station data onto grids. Such studies should also address the comparison of data sets with different sampling characteristics.
(3) Natural as well as human-induced changes should be taken into account in climate model simulations of atmospheric temperature variability on the decade-to-decade time scale. In particular, the studies described in Finding #4 need to be repeated with improved models and with an experimental design that reflects the uncertainties in natural and human-induced forcings.
(4) The scientific community should explore the possibility of exploiting the sophisticated protocols that are now routinely used to ensure the quality control and consistency of the data ingested into operational numerical weather prediction models, to improve the reliability of the data sets used to monitor global climate change.break