Among modeling languages Unified Modeling Language (UML) has become most popular. UML is commonly used in the design and implementation of any system and software architectures. To achieve functional and non functional requirements of the system UML model helps. In order to initiate the programming phase of building software UML tools enabled the creation of source code from UML diagram. The ma...

Then detection and identification of extreme weather events in large-scale climate simulations is an important problem for risk management, informing governmental policy decisions and advancing our basic understanding of the climate system. Recent work has shown that fully supervised convolutional neural networks (CNNs) can yield acceptable accuracy for classifying well-known types of extreme w...

In the recent years, many international centers for numerical weather prediction and climate modeling have adopted in their operational codes a semiLagrangian scheme for transport. This numerical technique became very popular due to its stability and accuracy properties. The time step is only restricted by accuracy and not by a CFL stability condition. In a joint effort with CPTEC/INPE (the Bra...

The Parallelizing Preprocessor is being developed at the Forecast Systems Laboratory (FSL) to simplify the process of parallelizing operational weather prediction models for Massively Parallel Processors (MPPs). PPP, a component of FSL's Scalable Modeling System, is a Fortran 77 text analysis and translation tool. PPP directives, implemented as Fortran comments, are inserted into the source cod...

Simulations of Earth and space weather require the representation and coupling of distinct physical domains in a flexible, computationally efficient manner. There is increasing call to interface Earth and space models, as the interplay of phenomena between these domains is an active topic of basic research, and a key factor in operational prediction systems. Software frameworks have been develo...

Two mesoscale numerical weather prediction models, Eta and the Rapid Update Cycle (RUC), are currently being run operationally at the U.S. National Weather Service’s National Meteorological Center to produce nationwide weather forecasts. Improvements in weather forecast accuracy depend on increasing model resolution, which is limited by available computing resources. Massively Parallel Processi...

Indonesia’s fire and haze problem is reviewed, and a model quantifying the relationship between drought and haze from biomass burning in western Indonesia is presented. Visibility observations from weather stations in Sumatra and Kalimantan were used as a haze indicator. The Drought Code component of the Canadian Forest Fire Weather Index System was used as a drought indicator. Using meteorolog...

Constructing an intelligent traffic monitoring system firstly depends on automatic identification for vehicles. At present, automatic identification technology based on image and vehicle license plate is going to fall in the trap due to its low recognition rate and affection by adverse weather. Thus it is necessary to apply new technologies to solve this problem, and technologies based on Inter...