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Leidou's Workflows

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Showing 15 results. Use the filters on the left and the search box below to refine the results.
Kepler
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Workflow Statistic (1)

The workflow make statistic of meteorological data from one weather station. It shows generally how  a comad workflow is built up.

Created: 2010-06-15 | Last updated: 2010-06-15

Credits: User Leidou

Kepler
Uploader
Avatar Leidou

Workflow two_station_RPlotter (1)

Comet workflow analyzes meteorological data coming from comet project (http://comet.ucdavis.edu/wiki/index.php/Main_Page). The main analysis steps are: 1.Collect hourly humidity data in ten days from two weather stations 2.Aggregate the hourly data based on a group of time window and calculate basic statistic data, like min, max etc, for the data aggregated in each window. 3.Calculate statistics of growing degree day for data in each window 4.Draw time-based trend graph for analysis and...

Created: 2010-06-15 | Last updated: 2010-06-15

Credits: User Leidou

Kepler
Uploader
Avatar Leidou

Workflow three_station_RPlotter (1)

Comet workflow analyzes meteorological data coming from comet project (http://comet.ucdavis.edu/wiki/index.php/Main_Page). The main analysis steps are: 1.Collect hourly humidity data in ten days from three weather stations 2.Aggregate the hourly data based on a group of time window and calculate basic statistic data, like min, max etc, for the data aggregated in each window. 3.Calculate statistics of growing degree day for data in each window 4.Draw time-based trend graph for analysis a...

Created: 2010-06-15 | Last updated: 2010-06-15

Credits: User Leidou

Kepler
Uploader
Avatar Leidou

Workflow one_station_SequencePlotter (1)

Comet workflow analyzes meteorological data coming from comet project (http://comet.ucdavis.edu/wiki/index.php/Main_Page). The main analysis steps are: 1.Collect hourly humidity data in ten days from one weather station 2.Aggregate the hourly data based on a group of time window and calculate basic statistic data, like min, max etc, for the data aggregated in each window. 3.Calculate statistics of growing degree day for data in each window 4.Draw time-based trend graph for analysis...

Created: 2010-06-15 | Last updated: 2010-06-15

Credits: User Leidou

Kepler
Uploader
Avatar Leidou

Workflow one_station_RPlotter (1)

The workflow analyzes meteorological data coming from comet project (http://comet.ucdavis.edu/wiki/index.php/Main_Page). The main analysis steps are: 1. Collect hourly humidity data in ten days from one weather station 2. Aggregate the hourly data based on a group of time window and calculate basic statistic data, like min, max etc, for the data aggregated in each window. 3. Calculate statistics of growing degree day for data in each window 4. Draw time-based trend graph for analy...

Created: 2010-06-15 | Last updated: 2010-06-15

Credits: User Leidou

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