ISSN: 2041-6792

Clinical Investigation

Climatology-open-access-journals

The study of modern climates consolidates meteorological data compiled over many years, such as records of rainfall, temperature and atmospheric composition. Knowledge of the atmosphere and its dynamics is also contained in models, either analytical or mathematical, which help by organizing different observations and testing how they fit together. Modeling is used for considering past, present and potential future climates. Climate review is made difficult by the large scale, long time periods, and complex developments which can control climate. Climate is controlled by physical laws which can be extracted as differential comparisons. These comparisons are connected and nonlinear, so that estimate solutions are attained by using numerical methods to create global climate models. Climate is sometimes represented as a stochastic process but this is generally obtained as a similarity to processes that are otherwise too problematic to evaluate. Climate is usually defined by what is expected or “normal”, which climatologists traditionally interpret because the 30-year average for weather in a neighborhood. By it, “normal” are often misleading unless we also understand the concept of variability. For example, many of us consider sunny, idyllic days “normal” in southern California. History and climatology tell us that this is not the full story. Although sunny weather is usually related to southern California, severe floods have had a big impact there, including major floods in 1862 and 1868, shortly after California became a state.

High Impact List of Articles

Relevant Topics in Clinical