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Grid-Based Processing of High-Volume Meteorological Data Sets [chapter]

Guido Scherp, Jan Ploski, Wilhelm Hasselbring
Euro-Par 2006: Parallel Processing  
For that purpose large data repositories from many heterogeneous sources (e.g., satellites, earth stations, and data archives) are the base for complex computations.  ...  This paper reports on employing Grid technologies within an ongoing project, which aims to set up a Grid infrastructure among several geographically distributed project partners.  ...  One aim of the project is to set up a Grid infrastructure to support large data transfers and distributed processing.  ... 
doi:10.1007/978-3-540-72337-0_23 dblp:conf/europar/ScherpPH06 fatcat:62wgkqpyu5hpbjnjn5cwjrqguy

Dynamic Simulation of Power Systems Considering Transmission Lines Icing and Insulators Flashover in Extreme Weather

Lizheng Chen, Xiaohan Shi, Bo Peng, Jingwen Sun
2022 IEEE Access  
Based on the above two models, a multi-variable and multi-time scale hybrid simulation of the meteorological process and power system, considering line icing and insulator flashover, was realized.  ...  Relationship models between meteorological conditions and grid failure were constructed in ice accretion and insulator flashover scenarios.  ...  ANALYSIS OF SIMULATION RESULTS 1) FAILURE RESULTS The simulation is performed in the proposed platform based on the above 72-hour meteorological data and power grid parameters.  ... 
doi:10.1109/access.2022.3166483 fatcat:mu574rjperahrburxpa6g56zqa

An efficient storage and service method for multi-source merging meteorological big data in cloud environment

Ming Yang, Wenchun He, Zhiqiang Zhang, Yongjun Xu, Heping Yang, Yufeng Chen, Xiaolong Xu
2019 EURASIP Journal on Wireless Communications and Networking  
In the process of data storage, multidimensional block compression technology and data structures are applied to store and transmit meteorological data.  ...  In this study, an efficient storage and service method for multidimensional meteorological data is designed based on NoSQL big data storage technology and the multidimensional characteristics of meteorological  ...  The data used in the experiment are usually high precision and high volume data.  ... 
doi:10.1186/s13638-019-1576-0 fatcat:dzzuf2gjqzfzvjo5v72v5peqom

An Atmospheric Visual Analysis and Exploration System

Yuyan Song, Jing Ye, Nikolai Svakhine, Sonia Lasher-Trapp, Mike Baldwin, David Ebert
2006 IEEE Transactions on Visualization and Computer Graphics  
Our system allows for the integrated visualization of 1D, 2D, and 3D atmospheric data sets in common meteorological grid structures and utilizes a variety of rendering techniques.  ...  Meteorological research involves the analysis of multi-field, multi-scale, and multi-source data sets.  ...  The fusion of 1D, 2D, and 3D atmospheric data sets in common meteorological grid structures can be intuitively visualized by our rendering system.  ... 
doi:10.1109/tvcg.2006.117 pmid:17080847 fatcat:rhkpbilyxrbwrjzph2bt6ouwxq

A Predictive Data Feature Exploration-based Air Quality Prediction Approach

Ying Zhang, Yanhao Wang, Minghe Gao, Qunfei Ma, Jing Zhao, Rongrong Zhang, Qingqing Wang, Linyan Huang
2019 IEEE Access  
In this paper, we resolve the issue of processing the high-dimensional large-scale data by employing the LightGBM model and innovatively take the forecasting data as one of the data sources for predicting  ...  Given the lack of data, we employ the sliding window mechanism to deeply mine the high-dimensional temporal features for increasing the training dimensions to millions.  ...  The primary goal of air quality prediction is to predict the concentration of pollutants for a while in the future based on historical air quality data sets, meteorological data sets, etc., such as the  ... 
doi:10.1109/access.2019.2897754 fatcat:vkfcxrqgwfbzfbikb3liityhye

Key Algorithms And Its Realization About Snowmelt Flood Disaster Model Based On Remote Sensing And GIS

Chen Qiao, Quanyi Huang, Tao Chen, Zhipeng Li, C.-H. Weng, R. Weerasinghe
2018 E3S Web of Conferences  
lines, settlements caused by the floods and the possible landslides using the hydrological and meteorological data, snow parameter data, DEM data and land use data.  ...  Based on the remote sensing and GIS techniques, the relationships of the variables influencing the snowmelt flood such as the snow area, the snow depth, the air temperature, the precipitation, the land  ...  According to the natural law of water flowing from high to low, the number of grids flowing through each grid in the region is calculated according to the data of water flow direction as the cumulative  ... 
doi:10.1051/e3sconf/20185303058 fatcat:tpywx4qzejdm5px774yjjtlony

Retrospective Analysis of Recent Flood Events With Persistent High Surface Runoff From Hydrological Modelling

S. Joshi, K. Abdul Hakeem, P. V. Raju, V. V. Rao, A. Yadav, P. G. Diwakar, V. K. Dadhwal
2014 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Using the grid-wise surface runoff estimates from the model, an algorithm was developed through a set of thresholds of successive high runoff values in order to identify grids/locations with probable flooding  ...  Variable Infiltration Capacity (VIC), a macro-scale hydrological model, was used to simulate daily runoff at systematic grid level incorporating daily meteorological data and land cover data.  ...  level (total -13709) modelling frame work has been setup for the entire county using geo-spatial data sets and historic meteorological data (figure 1).  ... 
doi:10.5194/isprsarchives-xl-8-359-2014 fatcat:fw2aofkowvcxxnycwuiu6gsibe

Modelling floods in the Ammer catchment: limitations and challenges with a coupled meteo-hydrological model approach

R. Ludwig, S. Taschner, W. Mauser
2003 Hydrology and Earth System Sciences  
Sensitivity analysis of both meteo-data input and hydrological model performance in terms of process description are discussed, drawing positive conclusions for future applications of an advanced meteo-hydro  ...  and physically based hydrological model.  ...  The valuable contributions of all RAPHAEL partners are gratefully acknowledged. The meteorological data were generously supplied by the DWD.  ... 
doi:10.5194/hess-7-833-2003 fatcat:idkpav3crvbvzbsi7hnei5jazy

Assessment of data uncertainty and plausibility over the Nam Co Region, Tibet

S. Biskop, P. Krause, J. Helmschrot, M. Fink, W.-A. Flügel
2012 Advances in Geosciences  
In addition, gridded climate data sets were compared to meteorological observations in order to evaluate their plausibility.  ...  Ground observations are rare in the high-mountainous region of the Nam Co basin and only global and regional gridded climate products are available as model input data, but these data sets need to be carefully  ...  Since global and regional gridded data sets are based on the analysis and processing of data from various sources such as ground observation, satellite estimates and climate model simulations, differences  ... 
doi:10.5194/adgeo-31-57-2012 fatcat:vccw42ybefbf5ndnsag6lp6ota

Automatic Analysis of Trough Lines Based on Curvature Tracing

Qian Li, Yan Huang, Yin Fan, Shaoen Tang, Yuntao Hu
2018 Atmosphere  
of analytical accuracy and processing speed.  ...  based on their curvature and relative positions.  ...  Shaoen Tang collected the related data information and proofed the manuscript.  ... 
doi:10.3390/atmos9030088 fatcat:op2cyfmmh5gbjlilxcop52r4qi

Modelling the meteorology and traffic pollutant dispersion in highly complex terrain: the ALPNAP Alpine Space Project

Silvia Trini Castelli, Giovanni Belfiore, Domenico Anfossi, Elisa Elampe, Monica Clemente
2011 International Journal of Environment and Pollution  
INTRODUCTION The study of the atmospheric pollution due to the traffic in a mountain valley involves a lot of physical processes and possible problems, related to the peculiarity of both meteorological  ...  The output data, consisting of the main meteorological fields, the ground level pollutant concentration of NOx and PM10 and the plume dynamics, will be transferred to the ALPNAP partners to support the  ...  Acknowledgment The authors like to thank CETE de Lyon for providing the meteorological and air quality measured data at French stations and for the emission data set. In particular, we thank Drs.  ... 
doi:10.1504/ijep.2011.038423 fatcat:nz6dykx7bfgv5oa3xv4eshtxd4

STUDY ON SNOWMELT FLOOD DISASTER MODEL BASED ON REMOTE SENSING AND GIS

C. Qiao, Q. Y. Huang, T. Chen, Y. M. Chen
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
lines, settlements caused by the floods and the possible landslides using the hydrological and meteorological data, snow parameter data, DEM data and land use data.  ...  </strong> In the context of global warming, the snowmelt flood events in the mountainous area of the middle and high latitudes are increasingly frequent and create severe casualties and property damages  ...  ACKNOWLEDGEMENTS The authors appreciate the Project 2017YFA0603700 National Key R&D Program of China, and the Project 71673163 support by NSFC.  ... 
doi:10.5194/isprs-archives-xlii-2-w13-709-2019 fatcat:sysbx2h4lbba5g5377ktt6u33i

Development of Hydrologic and Geographic Database for Yodo River Basin

Nirupama, Yasuto TACHIKAWA, Akira FUJITA, Michiharu SHIIBA, Takuma TAKASAO
1996 PROCEEDINGS OF HYDRAULIC ENGINEERING  
In this paper we are presenting the use of the Relational Data Base Management System (RDBMS) to arrange the hydrologic and meteorologic time series data and the Geographic Information System (GIS) to  ...  Our objective is to store and manage large amount of data involved in the rainfall-runoff processes.  ...  Acknowledgment : We are grateful to Yodogawa Work Office, Kinki Regional Construction Bureau, Ministry of construction and Japan Land Agency for providing the data.  ... 
doi:10.2208/prohe.40.101 fatcat:qfdn2ykzvnefbbsrj3el4ljc2y

Flood Prediction in Ungauged Basins by Physical-Based TOPKAPI Model

Xiangyi Kong, Zhijia Li, Zhiyu Liu
2019 Advances in Meteorology  
According to the simulation results, the TOPKAPI model exhibits good performance in building and the prediction of the ungauged basin, in which the qualified rate of volume and peaks reaches 69.23%, and  ...  The sensitivity analysis shows that soil thickness and soil saturated water content are the most sensitive parameters, and the Manning coefficient of main channel with high Strahler also significantly  ...  the Huangchuan basin and the discharge data of the Huangchuan hydrological station from 2003 to 2005, were processed into 1 h interval. e meteorological data of Xinyang, Zhumadian, and Guangshan meteorological  ... 
doi:10.1155/2019/4795853 fatcat:m2mywvzo75beneeqvsgrptpjye

Weather data sharing system: an agent-based distributed data management

T.H. Ma, W. Tian, B. Wang, D.H. Guan, S.Y. Lee
2011 IET Software  
A new class of 'data grid' infrastructure is efficient to support management, transportation, distributed access and analysis of these data sets by thousands of potential users.  ...  In each node, some services are designed for querying and accessing data sets based on agent environment.  ...  Acknowledgment The authors are grateful to Wenhai Shen for discussions on weather data grid.  ... 
doi:10.1049/iet-sen.2009.0027 fatcat:afvfocaxlnfqjlxte65pwsciae
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