This study investigates the skill of linear methods for downscaling provincial-scale precipitation over Indonesia from fields that describe the large-scale circulation and hydrological cycle. The study is motivated by the strong link between large-scale variations in the monsoon and the El Niño – Southern Oscillation (ENSO) phenomenon and regional precipitation, and the subsequent impact of reg...

The Supersymmetric Dual Sigma Model (SDSM) is a local field theory introduced to be nonlocally equivalent to the Supersymmetric Chiral nonlinear σ-Model (SCM), this dual equivalence being proven by explicit canonical transformation in tangent space. This model is here reconstructed in superspace and identified as a chiral-entwined supersymmetrization of the Dual Sigma Model (DSM). This analysis...

This paper proposes a new portable parallel programming interface MpC, Meta process C, for Meta Process Model. The Meta Process Model is a parallel programming padadigm based on a hierarchical shared memory model and an explicit description of parallelism On these points, this model is different from either the strict Shared Memory Model (SMM) or the Message Passing Model (MPM). The Meta Proces...

The probability of failures in software distributed shared memory (SDSM) increases as the system size grows. This paper introduces a new, efficient message logging technique, called the coherence-centric logging (CCL) and recovery protocol, for home-based SDSM. Our CCL minimizes failure-free overhead by logging only data necessary for correct recovery and tolerates high disk access latency by o...

The simulations of rainfall from historical data were created in this study by using statistical downscaling. Statistical downscaling techniques are based on a relationship between the variables that are solved by the General Circulation Models (GCMs) and the observed predictions. The Modified Constructed Analog Method (MCAM) is a technique in downscaling estimation, suitable for rainfall simul...

Both VIIRS and MODIS instruments use solar diffuser (SD) and lunar observations to calibrate their reflective solar bands (RSB). A solar diffuser stability monitor (SDSM) is used to track the SD on-orbit degradation. On-orbit observations have shown similar wavelength-dependent SD degradation (larger at shorter VIS wavelengths) and SDSM detector response degradation (larger at longer NIR wavele...

Despite their clear advantage in scalability, twodimensional data distributions are not efficiently supported by current software distributed shared memory (SDSM) systems. This is because sharing between nodes occurs on both columns and rows. Sharing in two dimensions is not a good match for SDSM systems, because either a rowor columnmajor data layout of pages leads to (1) severe thrashing, if ...

Rangelands are one of the most vulnerable parts concerning the climatechanges‟ impacts. These impacts are even stronger in the arid and semi-arid areas whererangeland ecosystems are in critical conditions. Therefore, it is crucial to figure out theactual dynamics of climate variations on the rangelands. The aim of this research was todetermine climate changes in Khabr rangeland, Kerman, Iran. S...