Who May Geoengineer: Global Domination, Revolution, and Solar Radiation Management

Correlation and Persistence in Global Solar Radiation

Estimating and modeling monthly mean daily global solar radiation on horizontal surfaces using artificial neural networks

In this study, an artificial neural network based model for prediction of solar energy potential in Kerman province in Iran has been developed. Meteorological data of 12 cities for period of 17 years (1997–2013) and solar radiation for five cities around and inside Kerman province from the Iranian Meteorological Office data center were used for the training and testing the network. Meteorologic...

Assessment of some global solar radiation parameterizations

In spite of their practicability, most classical models are not versatile but rather restrictive in their application. Consequently, their applicability for a particular location depends largely on validation against actual measurements. Global solar radiation parameterizations have been evaluated in this study for a lowland and a mountain site. Tested models were broadly categorised as cloud-b...

Using Solar Spatial Analyst to Calculate Global Solar Radiation, 22th Region of Tehran as the Case Study

Solar Radiation is considered as an important parameter in modeling environmental, hydrologic and biophysical processes. One of the reasons that solar radiations are not extensively used in models is the problem of its measurement in different points. Solar Analyst Viewshed Algorithm makes possible calculation of the topographic effects on solar radiation at local and landscape scales. With res...

Public understanding of solar radiation management

We report the results of the first large-scale international survey of public perception of geoengineering and solar radiation management (SRM). Our sample of 3105 individuals in the United States, Canada and the United Kingdom was recruited by survey firms that administer internet surveys to nationally representative population samples. Measured familiarity was higher than expected, with 8% an...