As interconnection of local-area network of workstation are widely available, the idea of offering a software distributed shared memory (SDSM) layer across them is quite an attractive alternative for compute-intensive applications. However, the higher cost of sending a message over an inter-cluster link than over an intra-cluster can limit applications’ performance on a multi-cluster SDSM. In t...

This study describes an EOF-based technique for statistical downscaling of high spatial resolution monthly mean precipitation from large scale reanalysis circulation fields. The method is demonstrated and evaluated for four widely-separated locations: the Southeast United States, the Upper Colorado River Basin, China’s Jiangxi Province, and Central Europe. For each location, the EOF-based downs...

Abstract. One of the major obstacles for designing solutions against imminent climate crisis is scarcity high spatio-temporal resolution model projections variables such as precipitation. This kind information crucial impact studies in fields like hydrology, agronomy, ecology, and risk management. The currently highest spatial datasets on a daily scale projected conditions fail to represent com...

This study uses an empirical downscaling method based on self-organizing maps (SOMs) to produce highresolution, downscaled precipitation projections over the state of Pennsylvania in the mid-Atlantic region of the United States for the future period 2046–65. To examine the sensitivity of precipitation change to the water vapor increase brought by global warming, the authors test the following t...