نتایج جستجو برای: spatial synoptic classification ssc
تعداد نتایج: 838814 فیلتر نتایج به سال:
A geostatistically-based inverse technique, the sequential-self calibration (SSC) method, is used to update reservoir models so that they match observed pressure, water cut and time-lapse water saturation derived from 4-D seismic. Within the SSC, a steady-state genetic algorithm (GA) is applied to search the optimal master point locations, as well as the associated optimal permeability perturba...
A classification scheme is created to map the synoptic-scale (large scale) atmospheric state to distributions of local-scale cloud properties. This mapping is accomplished by a neural network that classifies 17 months of synoptic-scale initial conditions from the rapid update cycle forecast model into 25 different states. The corresponding data from a vertically pointing millimeter-wavelength c...
Recently, it is required to investigate the distribution of vegetation-covered areas on a regional scale for not only the improvement of urban environment but also the conservation of ecosystem. The spatial continuity of vegetation-covered areas like a green corridor plays an important role for the preservation of ecological balance especially. For the analysis of the spatial distribution of ve...
Combining the synoptic mass balance approach with principal components analysis (PCA) can be an effective method for discretising the chemistry of inflows and source areas in watersheds where contamination is diffuse in nature and/or complicated by groundwater interactions. This paper presents a field-scale study in which synoptic sampling and PCA are employed in a mineralized watershed (Lion C...
Fine-scale surface analysis of synoptic-scale weather systems is a challenging undertaking in the best of circumstances, but has proven particularly difficult at sea because of the paucity of in situ observations (Bosart 2003; Young et al. 1997). Remote sensing has taken a lead role in mitigating this problem. The success of remote sensing in this respect depends on the nature of the phenomena ...
OBJECTIVE HLAs have been extensively associated with SSc susceptibility but their role in the progression of the disease is poorly understood. In 2013 the ACR and European League Against Rheumatism (EULAR) jointly defined criteria for the classification of SSc that allow the early identification of definite SSc patients. In this study we investigated the role of HLA class II antigens in the pro...
Racial differences exist in the severity of systemic sclerosis (SSc). To enhance our knowledge about SSc in African Americans, we established a comprehensive clinical database from the largest multicenter cohort of African American SSc patients assembled to date (the Genome Research in African American Scleroderma Patients (GRASP) cohort).African American SSc patients were enrolled retrospectiv...
Let D be a connected oriented graph. A set S ⊆ V (D) is convex in D if, for every pair of vertices x, y ∈ S, the vertex set of every x− y geodesic (x− y shortest dipath) and y−x geodesic in D is contained in S. The convexity number con(D) of a nontrivial oriented graph D is the maximum cardinality of a proper convex set of D. Let G be a graph and SC(G) = {con(D) : D is an orientation of G} and ...
Self-organizing maps (SOMs) are a relative newcomer to synoptic climatology; the method itself has only been utilized in the field for around a decade. In this article, we review the major developments and climatological applications of SOMs in the literature. The SOM can be used in synoptic climatological analysis in a manner similar tomostother clustering methods.However, as the results froma...
An automated rapid classification of the transient events detected in modern synoptic sky surveys is essential for their scientific utility and effective follow-up when resources are scarce. This problem will grow by orders of magnitude with the next generation of surveys. We are exploring a variety of novel automated classification techniques, mostly Bayesian, to respond to those challenges, u...
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