On the statistical evaluation of climate model experiments

Article Abstract:

The method of evaluating climate models used by Gordon B. Bonan in the study on the effects of land use on the climate is problematic. The main problem is in the sample size used. Bonan used rather a small sample size in conducting climate model experiments, resulting in a relatively low t-test results. Thus, the significance level of each individual statistical test does not reflect the significance level for the whole domain.

Models, Analysis, Statistical sampling, Sampling (Statistics)

---

Assessing the health impacts of climate change

Article Abstract:

Several issues have affected scientific efforts to examine the impact of climatic changes on human health. These include the need to understand the role played by climate in health and the development of forecasts for potential changes in climate patterns and other determinants of public health. In addition, literature on the effects of climate changes should be examined within the context of public health issues.

Health aspects, Editorial, Evaluation, Environmental impact analysis, Human beings, Humans

---

Similar abstracts:

• Abstracts: Could we/should we engineer the earth's climate? Toward a scientific centered climate monitoring system. Long-term climate monitoring by the Global Climate Observing System (GCOS)

This website is not affiliated with document authors or copyright owners. This page is provided for informational purposes only. Unintentional errors are possible.