Step 1 - Choose the data you would like to validate - including the dataset name, the version of the dataset, and the soil moisture variables provided in the dataset. More details on the supported datasets can be found here.
Step 2 - Choose the reference dataset you would like to use for the validation including the dataset name, the version of the dataset, and the soil moisture variables provided in the dataset. More details on the supported datasets can be found here.
Step 3 - Choose the date range over which the validation should be performed. Accepted formats are: YYYY*MM*DD or DD*MM*YYYY where * can be any of ".", "/" or "-".
Step 4 - Choose the criteria by which you would like to filter the data prior to running the validation. The filters available depend on the data contained within the chosen dataset. For example, you can filter the ISMN data to include only data points where the soil_moisture_flag is "G" for "good". Details of the filter options provided for each dataset are given on the supported datasets page here. You can also hover your mouse pointer over the question mark next to a filter to get a short explanation.
Step 5 - Choose how the data (or reference) will be scaled before metrics calculation. The data can be scaled to the reference or vice versa. The scaling method determines how values of one dataset are mapped onto the value range of the other dataset for better comparability.
Step 6 - Optionally name your validation results to make it easier to identify it in the list of all your validations.
Step 7 - Run the validation process. You'll be notified via e-mail once it's finished. You don't need to keep the results window (or even your browser) open for the validation to run. The email will contain a link to your results.
The following metrics are calculated during the validation process:
|R||Pearson correlation coefficient|
|p_R||p-value for pearson correlation coefficient|
|ρ||Spearman rank correlation coefficient|
|p_ρ||p-value for spearman rank correlation coefficient|
|τ||Kendall rank correlation coefficient|
|p_τ||p-value for kendall rank correlation coefficient|
|nobs||Number of valid observations per grid point|
Once the validation process is finished, a short summary of the validation run is shown on the results page.
You can view boxplots of the distributions of the calculated metrics across locations by selecting the metric from the dropdown button below the plot. Click on the plot to enlarge it. You can also download all the boxplots in a zipfile by clicking on the Download button.
Finally, you can download your validation results in a single netcdf file.
The list shows all your processed validations, including the currently running ones, sorted by date (latest first). Click on a validation link to jump to the results page of your selected validation.
If you want to email us to send comments, report errors, or ask questions, you can do so at qa4sm (at) awst.at .Back to top