MONTHLY DISTRIBUTION OF MEAN CLOUDINESS OVER FRANCE.3

Seasonality of monthly runoff over the continental United States: Causality and relations to mean annual and mean monthly distributions of moisture and energy

Correlation of Monthly Average Daily Global Solar Radiation with Cloudiness for Karachi, Pakistan

For developing countries like Pakistan, the paucity of reliable solar radiation data necessitates the development of empirical models. To develop such a model one could use various parameters. In this study, linear regression models are developed to estimate the monthly average daily global radiation using cloudiness data for Karachi, Pakistan for the period of 20 years (1990-2010). The results...

Recent Trends in Cloudiness over the United States

From space, Earth is a blue planet marked by stark white cloud structures that distinguish it from other planets. By ref lecting sunlight, blocking outgoing longwave radiation, and producing precipitation, clouds have an enormous impact on Earth’s weather and climate. The single largest source of uncertainty in global climate models has always been the response of clouds, especially low clouds,...

The monthly and weekly distribution of suicide.

First a review of recent studies of the monthly and weekly distribution of suicide is given. Then the results of an analysis of the mortality figures for Lower Saxony from 1968 to 1977 are presented in which age, sex and means of suicide are taken into consideration. The monthly distribution of all suicides (ICD8 E950-E958) shows a maximum incidence in spring and early summer and a minimum in w...

Empirical estimation of the monthly-mean daily temperature range

This is a sequel to a study of the empirical estimation of the annual mean temperature and its range, at any location on land, based on the historical surface climate record. Here the spatial patterns of the daily temperature range (DTR) and its seasonal variation are examined. The DTR is highest in the subtropical deserts and is less at high latitudes, as well as within 30–150 km from an ocean...