Filling large data-gaps in Micro-Meteorological data has mostly been done using interpolation techniques based on a marginal distribution sampling. Those methods work well but need horizon of the previous events to achieve good results since they do not model system only rely previously encountered iterations. In this paper, we propose use multi-head deep attention networks fill gaps Data. This...

With the increasing popularity of open-source platform Hadoop, the meteorological industry is available to create a Meteorological Cloud (MeteCloud) platform to store and deploy applications. In this paper, we propose an idea to build the MeteCloud platform for meteorological departments using Hadoop. We also present a backup policy for meteorological data. In addition, one kind of storage proc...

geographic information and analysis provide a wide range of data and techniques to monitor and manage natural resources. as an important case, in arid and semi-arid areas, water management is critical for both local governance and citizens. as a result, the estimation of water potential brought by snowmelt runoff and rainfalls seems to be very useful and important for these areas. hydrological ...

one of the most main head in governments is to achieve the energy for their countries. as the fossil sources are at their ends and also they cause greenhouse emission and environment pollution, shifting to renewable sources of energy is an indispensable alternative for most countries. the sun is the most important renewable energy source. to assessment reachable solar radiation in mashhad from ...

abstract long-term historical weather data are needed to conduct crop simulation analysis. simulated climatic data may be used when long series of historic data are not available or convenient or when future data are needed. the aim of this study was to generate daily weather values for maximum and minimum air temperatures. a number of weather generators are compared here. data from ten station...

Effective exploitation of meteorological archives has long been impeded by an inability to rapidly identify relevant data, and by the difficulties of managing the large volume of data involved. We present a new approach to archiving meteorological data that addresses these problems. Our approach is implemented in MetVUW Workbench, a case-based system for intelligent retrieval and display of his...