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The case study will be built on the basis of a 1-year period calibration for 24-hourly rainfall. The calibration will use the following five parameters as predictors:
convective precipitation ratio
total precipitation
700 mbar wind speed
cape
24-hourly solar radiation
To create the case study, I need first to prepare the input data which consists in:
1-year period of control forecasts
1-year period of observations
Therefore, I need to:
Get hold of a 1-year period of ECWMF control forecasts (for example, for 47r1)
Get hold of a 1-year period of observations (for example, NOAA observations)
Organize the forecast data as required by ecPoint-Calibrate
Organize the observations data as required by ecPoint-Calibrate
We would like to upload this data to an open repository, like Zenodo, so users will be able to replicate autonomously the case study. To do so, I need to:
Get permission from the management to upload the input forecasts in Zenodo
Prepare the Zenodo repository and upload the forecasts and the observations in a directory called "Inputs"
Once the input data is ready, I need to run myself ecpoint-Calibrate to prepare the documentation for the case study and create the outputs to be uploaded in the Zenodo.
Run the computations to create to point data table (PDT), saving screenshots of the steps that might be useful for the documentation
Document the variables that are going to be used as predictors. Save screenshots of the computations executed in the GUI.
Save the PDT in a "Outputs" directory.
Run the software to create a decision tree (DT). Save screenshots of each step done in the GUI.
Save the DT, the weather types (WTs) and the mapping functions (MFs) in the "Outputs" directory.
Upload the "Outputs" directory to Zenodo and close the repository to obtain a DOI.
All the documentation will be written in a dedicate open Confluence page. This aspect is related to issue #108 .
The case study documentation will be also written on Confluence.
Write the case study documentation on Confluence adding the screenshots for clarity, and the location of the Zenodo repository and the GitHub repository.
Complete the documentation by:
Creating a Zenodo badge to add in the GitHub repository.
Adding the link to the Confluence page in the GitHub repository.
The text was updated successfully, but these errors were encountered:
The case study will be built on the basis of a 1-year period calibration for 24-hourly rainfall. The calibration will use the following five parameters as predictors:
To create the case study, I need first to prepare the input data which consists in:
Therefore, I need to:
We would like to upload this data to an open repository, like Zenodo, so users will be able to replicate autonomously the case study. To do so, I need to:
Once the input data is ready, I need to run myself ecpoint-Calibrate to prepare the documentation for the case study and create the outputs to be uploaded in the Zenodo.
All the documentation will be written in a dedicate open Confluence page. This aspect is related to issue #108 .
The case study documentation will be also written on Confluence.
Complete the documentation by:
The text was updated successfully, but these errors were encountered: