Conducting probabilistic climate projections with a particular climate model requires the ability to vary the model’s characteristics, such as its climate sensitivity. In this study, the authors implement and validate a method to change the climate sensitivity of the National Center for Atmospheric Research (NCAR) Community Atmosphere Model, version 3 (CAM3), through cloud radiative adjustment....

Conducting probabilistic climate projections with a particular climate model requires the ability to vary the model’s characteristics, such as its climate sensitivity. In this study, the authors implement and validate a method to change the climate sensitivity of the National Center for Atmospheric Research (NCAR) Community Atmosphere Model, version 3 (CAM3), through cloud radiative adjustment....

Big data applications are constructed under the cloud environment to process the big data values. Public cloud provides easily scaled up and scaled down computing power and storage to everyone. Private cloud services are provided to group of people only. Big data can be used in disaster management, high energy physics, genomics, connectomics, automobile simulations and medical imaging applicati...

Tirthabir Biswas, Anupam Mazumdar, and Arman Shafieloo Department of Physics, St. Cloud State University, St. Cloud, Minnesota 56301, USA Department of Physics, Loyola University, New Orleans, Louisiana 70118, USA Physics Department, Lancaster University, Lancaster, LA1 4YB, United Kingdom Physics Department, University of Oxford, Oxford, OX1 3NP, United Kingdom (Received 13 May 2010; published...

A Nonparametric Examination of Capital-Skill Complementarity This paper uses nonparametric kernel methods to construct observation-specific elasticities of substitution for a balanced panel of 73 developed and developing countries to examine the capital-skill complementarity hypothesis. The exercise shows some support for capital-skill complementarity, but the strength of the evidence depends u...

Cross-domain ground-based cloud classification is a challenging issue as the appearance of cloud images from different cloud databases possesses extreme variations. Two fundamental problems which are essential for cross-domain ground-based cloud classification are feature representation and similarity measurement. In this paper, we propose an effective feature representation called transfer of ...

the study of spatial and temporal changes in climate parameters, is one the most important issues in the world's climate research. study of changes in cloud cover as one of the most important climate parameters is important, because clouds are in top of hydrologic cycle and changes in them make changes in spatial and temporal variations in other climate parameters. in this study, the spati...

Here, Adomian decomposition method has been used for finding approximateand numerical solutions of nonlinear differential difference equations arising inmathematical physics. Two models of special interest in physics, namely, theHybrid nonlinear differential difference equation and Relativistic Toda couplednonlinear differential-difference equation are chosen to illustrate the validity andthe g...