An open-source software for interactive visualization using C++ and OpenGL: Applications to stochastic theory education in water resources engineering

2011 ◽  
Vol 19 (1) ◽  
pp. 48-55 ◽  
Author(s):  
Robby Florence ◽  
Faisal Hossain ◽  
David Huddleston
Keyword(s):  
Water Resources ◽  
Open Source ◽  
Open Source Software ◽  
Interactive Visualization ◽  
Stochastic Theory ◽  
Water Resources Engineering

GitViz: An Interactive Visualization System for Analyzing Development Trends in the Open-Source Software Community

2019 ◽  
Author(s):  
Chanhee Park ◽  
Sungjun Do ◽  
Eunjeong Lee ◽  
Hanna Jang ◽  
Sungchan Jung ◽  
...  
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Interactive Visualization ◽  
Development Trends ◽  
Visualization System

Development of a web application for water resources based on open source software

2014 ◽  
Vol 62 ◽  
pp. 35-42 ◽  
Author(s):  
Blagoj Delipetrev ◽  
Andreja Jonoski ◽  
Dimitri P. Solomatine
Keyword(s):  
Water Resources ◽  
Open Source ◽  
Open Source Software ◽  
Web Application

A computer-aided visualization tool for stochastic theory education in water resources engineering

2009 ◽  
Vol 17 (4) ◽  
pp. 398-411 ◽  
Author(s):  
Jonathan Schwenk ◽  
Faisal Hossain ◽  
David Huddleston
Keyword(s):  
Water Resources ◽  
Stochastic Theory ◽  
Visualization Tool ◽  
Computer Aided ◽  
Water Resources Engineering

scholarly journals Operational river discharge forecasting in poorly gauged basins: the Kavango River Basin case study

2014 ◽  
Vol 11 (10) ◽  
pp. 11071-11108
Author(s):  
P. Bauer-Gottwein ◽  
I. H. Jensen ◽  
R. Guzinski ◽  
G. K. T. Bredtoft ◽  
S. Hansen ◽  
...  
Keyword(s):  
Water Resources ◽  
Data Assimilation ◽  
Open Source ◽  
Water Resources Management ◽  
Open Source Software ◽  
River Discharge ◽  
Lead Times ◽  
Probabilistic Forecasting ◽  
Resources Management ◽  
Probabilistic Forecasts

Abstract. Operational probabilistic forecasts of river discharge are essential for effective water resources management. Many studies have addressed this topic using different approaches ranging from purely statistical black-box approaches to physically-based and distributed modelling schemes employing data assimilation techniques. However, few studies have attempted to develop operational probabilistic forecasting approaches for large and poorly gauged river basins. This study is funded by the European Space Agency under the TIGER-NET project. The objective of TIGER-NET is to develop open-source software tools to support integrated water resources management in Africa and to facilitate the use of satellite earth observation data in water management. We present an operational probabilistic forecasting approach which uses public-domain climate forcing data and a hydrologic–hydrodynamic model which is entirely based on open-source software. Data assimilation techniques are used to inform the forecasts with the latest available observations. Forecasts are produced in real time for lead times of 0 to 7 days. The operational probabilistic forecasts are evaluated using a selection of performance statistics and indicators. The forecasting system delivers competitive forecasts for the Kavango River, which are reliable and sharp. Results indicate that the value of the forecasts is greatest for intermediate lead times between 4 and 7 days.

scholarly journals Operational river discharge forecasting in poorly gauged basins: the Kavango River basin case study

2015 ◽  
Vol 19 (3) ◽  
pp. 1469-1485 ◽  
Author(s):  
P. Bauer-Gottwein ◽  
I. H. Jensen ◽  
R. Guzinski ◽  
G. K. T. Bredtoft ◽  
S. Hansen ◽  
...  
Keyword(s):  
Water Resources ◽  
Data Assimilation ◽  
Open Source ◽  
Water Resources Management ◽  
Open Source Software ◽  
River Discharge ◽  
Lead Times ◽  
Probabilistic Forecasting ◽  
Resources Management ◽  
Probabilistic Forecasts

Abstract. Operational probabilistic forecasts of river discharge are essential for effective water resources management. Many studies have addressed this topic using different approaches ranging from purely statistical black-box approaches to physically based and distributed modeling schemes employing data assimilation techniques. However, few studies have attempted to develop operational probabilistic forecasting approaches for large and poorly gauged river basins. The objective of this study is to develop open-source software tools to support hydrologic forecasting and integrated water resources management in Africa. We present an operational probabilistic forecasting approach which uses public-domain climate forcing data and a hydrologic–hydrodynamic model which is entirely based on open-source software. Data assimilation techniques are used to inform the forecasts with the latest available observations. Forecasts are produced in real time for lead times of 0–7 days. The operational probabilistic forecasts are evaluated using a selection of performance statistics and indicators and the performance is compared to persistence and climatology benchmarks. The forecasting system delivers useful forecasts for the Kavango River, which are reliable and sharp. Results indicate that the value of the forecasts is greatest for intermediate lead times between 4 and 7 days.

scholarly journals Collaborative Cloud Computing Application for Water Resources Based on Open Source Software

2016 ◽  
pp. 69-78
Author(s):  
Blagoj Delipetrev ◽  
Aleksandra Stojanova ◽  
Ana Ljubotenska ◽  
Mirjana Kocaleva ◽  
Marjan Delipetrev ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Water Resources ◽  
Open Source ◽  
Open Source Software

scholarly journals A review of open source software solutions for developing water resources web applications

2015 ◽  
Vol 67 ◽  
pp. 108-117 ◽  
Author(s):  
Nathan R. Swain ◽  
Kilisimasi Latu ◽  
Scott D. Christensen ◽  
Norman L. Jones ◽  
E. James Nelson ◽  
...  
Keyword(s):  
Water Resources ◽  
Open Source ◽  
Open Source Software ◽  
Web Applications

Open-source software

AccessScience ◽  
2015 ◽  
Keyword(s):  
Open Source ◽  
Open Source Software

Practical Open Source Software for Libraries

2010 ◽  
Author(s):  
Nicole C. Engard
Keyword(s):  
Open Source ◽  
Open Source Software
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