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2 | 2 | title: "Running your first recipe" |
3 | 3 | teaching: 15 |
4 | 4 | exercises: 15 |
5 | | -compatibility: ESMValTool v2.8.0 |
| 5 | +compatibility: ESMValTool v2.10.0 |
6 | 6 |
|
7 | 7 | questions: |
8 | 8 | - "How to run a recipe?" |
@@ -132,7 +132,7 @@ distinguished in the log messages: |
132 | 132 | > > following line in the output: |
133 | 133 | > > |
134 | 134 | > > ``` |
135 | | -> >[18776] INFO These tasks will be executed: map/tas, timeseries/tas_global, |
| 135 | +> >[134535] INFO These tasks will be executed: map/tas, timeseries/tas_global, |
136 | 136 | >>timeseries/script1, map/script1, timeseries/tas_amsterdam |
137 | 137 | > > ``` |
138 | 138 | > > |
@@ -368,7 +368,7 @@ Do you recognize the basic recipe structure that was introduced in episode 1? |
368 | 368 | > > which contains preprocessed data for each of the input datasets, plus a |
369 | 369 | > > combined `MultiModelMean`, a `metadata.yml` file and provenance files. |
370 | 370 | > > - **map/script1**: creates `/run/map/script1` with general information and a |
371 | | -> > log of the diagnostic script run. It also creates `/plots/map/script1` and |
| 371 | +> > log of the diagnostic script run. It also creates `/plots/map/script1/` and |
372 | 372 | > > `/work/map/script1`, which contain output figures and output datasets, |
373 | 373 | > > respectively. For each output file, there is also corresponding provenance |
374 | 374 | > > information in the form of `.xml`, `.bibtex` and `.txt` files. |
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