Uncertainties in global climate change estimates

Article Abstract:

The formulation of public policies for future climate change based on limited resources of information produces a low level of probability. Existing information on fundamental phenomena should be combined to form Bayesian probabilities that produce a general hypotheses. The improvement of scientific information on climatic change will also reduce the level of uncertainty. Uncertainty variables should be analyzed by utilizing statistical procedures while data on fundamental phenomena should be based on probabilities.

Analysis, Usage, Bayesian statistical decision theory, Bayesian analysis, Probabilities, Probability theory, Policy sciences, Uncertainty (Information theory)

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The Global Climate Observing System (GCOS)

Article Abstract:

The Global Climate Observing System (GCOS) is long-term, user-driven operational system that was established to monitor and document the total climate system. GCOS will collect data via in situ and remote sensing techniques and distribute these data to scientists, forecasters, policymakers and other user groups through data and information management systems. To be more comprehensive in scope, a Joint Scientific and Technical Committee has been established to develop and implement the various components of GCOS.

Editorial, Information management, Climatic changes, Climate change

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