CondMerg: an open source implementation in R language of conditional merging for weather radars and rain gauges observations

Monitoring of extreme events requires accurate measurement of rainfall intensities and merging weather radar data with ground information is a very common technique used to obtain the required precision. In order to do this, several methods exist but very few open source implementations are availabl...

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Bibliographic Details
Published in:Earth science informatics 2017-03, Vol.10 (1), p.127-135
Main Authors: Guenzi, D., Fratianni, S., Boraso, R., Cremonini, R.
Format: Article
Language:English
Subjects:
Climatology
Computer programs
Earth and Environmental Science
Earth Sciences
Earth System Sciences
Environmental monitoring
Extreme weather
Freeware
Geographic information systems
Information Systems Applications (incl.Internet)
Merging
Ontology
Open source software
Radar
Rain
Rain gauges
Rainfall intensity
Rainfall measurement
Simulation and Modeling
Software
Software Article
Source code
Space Exploration and Astronautics
Space Sciences (including Extraterrestrial Physics
Weather
Weather forecasting
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Summary:Monitoring of extreme events requires accurate measurement of rainfall intensities and merging weather radar data with ground information is a very common technique used to obtain the required precision. In order to do this, several methods exist but very few open source implementations are available. CondMerg is the first open source software developed in R language implementing the conditional merging method and some other experimental variants based on it. It is a cross-platform software, easily adaptable to different needs, optimized for batch processing of multiple events but also usable in near real time applications. For its execution it requires two inputs: a CSV file with rain gauges measurements and a geo-referred TIF file with weather radar quantitative precipitation estimations; main outputs are TIF files with merged observations although the code also returns information about cross-validation, with scatter plots and indexes. All TIF files are ready to be managed by common GIS software for easy visualization and analysis. Use of the program is very simple: execution can be interactive or non-interactive and, in both cases, it just requires to set some parameters at the beginning of the program and run it. The code has been tested on different extreme rain events occurred in the Piedmont region (northwestern Italy) showing improved accuracy of reconstructed rainfall fields.
ISSN:1865-0473
1865-0481
DOI:10.1007/s12145-016-0278-y