Climate Data File Management for Agricultural Modeling

1993 ◽  
Vol 9 (1) ◽  
pp. 49-53
Author(s):  
K. D. Robbins
2021 ◽  
Author(s):  
Kalamkas Yessimkhanova ◽  
Mátyás Gede

<p>The majority of studies are dedicated to the analysis of climate change and climate models with no regard for data visualization part. Therefore, this research is aimed at highlighting challenges, with an emphasis on spatial referencing that can occur while visualizing CORDEX data. CORDEX data are stored in NetCDF file format, and sometimes georeferencing may be misconceived in QGIS software. For this reason, two techniques of georeferencing data are examined in this work. The first way of data georeferencing is re-projecting coordinates from original projection to an interpolated latitude/longitude grid. The second way is re-encrypting initial data file so that QGIS is able to interpret projection information. Preference of using QGIS explained by two reasons: it is open source GIS application and it has expanded visualization toolkit.</p><p>In addition, there are a great deal of climate models based on CORDEX data for some regions whereas there is a lack of climate projections for particular areas. In this regard, carrying out analysis for the region of Kazakhstan is beneficial. Outcomes of this research may stimulate spreading local climate models for Kazakhstan territory. Results are represented in the form of maps of Kazakhstan illustrating temperature change over 21<sup>st</sup> century time period.</p>


Author(s):  
Yingxu Wang ◽  
Cyprian F. Ngolah ◽  
Xinming Tan ◽  
Yousheng Tian ◽  
Phillip C.Y. Sheu

Files are a typical abstract data type for data objects and software modeling, which provides a standard encapsulation and access interface for manipulating large-volume information and persistent data. File management systems are an indispensable component of operating systems and real-time systems for file manipulations. This paper develops a comprehensive design pattern of files and a File Management System (FMS). A rigorous denotational mathematics, Real-Time Process Algebra (RTPA), is adopted, which allows both architectural and behavioral models of files and FMS to be rigorously designed and implemented in a top-down approach. The conceptual model, architectural model, and the static/dynamic behavioral models of files and FMS are systematically presented. This work has been applied in the design and modeling of a real-time operating system (RTOS+).


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