Abstract | ||
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We document the release of webXTREME, a new online tool for the evaluation of indices of climatic extremes (extreme temperatures and aridity) having impact on agricultural production. The tool is globally available and can be operated with either observed weather data or time series representing future climatic conditions. It is thus suitable for risk evaluation under climate change. webXTREME was implemented using Shiny, an open-source programming framework for creating web applications on the basis of the R Statistical Language. |
Year | Venue | Field |
---|---|---|
2017 | Computers and Electronics in Agriculture | Meteorology,Risk evaluation,Climate change,Extreme events,Extreme weather,Engineering,Web application,Weather data,Agricultural productivity,Software framework |
DocType | Volume | Citations |
Journal | 136 | 1 |
PageRank | References | Authors |
0.36 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
T. Klein | 1 | 2 | 0.75 |
Argyrios Samourkasidis | 2 | 1 | 0.36 |
Ioannis N. Athanasiadis | 3 | 352 | 44.44 |
Gianni Bellocchi | 4 | 31 | 5.88 |
Pierluigi Calanca | 5 | 1 | 0.36 |