eqctier3-5586d1f0-b187-446d-955a-ebf9bc81d5d8

Seasonal_Forecasts/seasonal_seasonal-monthly-single-levels_forecast-skill_q02.ipynb

@@ -62,7 +62,6 @@
     "```{figure} attachment:8568344f-a005-4668-b14a-05d8ff7f3b96.png\n",
     "---\n",
     "height: 500px\n",
-    "name: example_figure\n",
     "---\n",
     "The figure shows a sample  of the ECMWF monthly temperature bias for Western North America as a function of the starting month and of the valid month of the forecast. More details on how to interpret the results are available below in the notebook.\n",
     "```"
@@ -79,25 +78,25 @@
     "\n",
     "The analysis and results are organised in the following steps, which are detailed in the sections below:\n",
     "\n",
-    "**1. [Choose the data to use and setup the code](section-1):**\n",
+    "**[](section-1):**\n",
     " * Import required packages\n",
     " * Define parameters describing regions, variables, and data\n",
     " * Plot the chosen regions\n",
     " * Define required functions\n",
     " * Show a sample global map of temperature biases\n",
     "\n",
-    "**2. [ERA5 data retrieval and area average](section-2):**\n",
+    "**[](section-2):**\n",
     " * Retrieve monthly ERA5 data and compute the regional mean climatology, i.e. 12 values for each area\n",
     " * Compute area averages\n",
     "\n",
-    "**3. [Seasonal hindcast data retrieval and area average](section-3):**\n",
+    "**[](section-3):**\n",
     " * Retrieve monthly seasonal forecast data from all available centres and for all starting dates, compute the monthly mean climatology (i.e. 6 values, since each forecast is valid for 6 months) and subtract the corresponding ERA5 climatology.\n",
     " * Compute area averages\n",
     " * Plot a sample map\n",
     "\n",
-    "**4. [Compute the hindcast bias](section-4)**\n",
+    "**[](section-4)**\n",
     "\n",
-    "**5. [Plot and describe results](section-5):** \n",
+    "**[](section-5):** \n",
     " * Plots are shown in a comprehensive set of panels that provide an overview of the multimodel performance \n",
     " * The results are summarised and discussed\n",
     "\n",
@@ -1111,7 +1110,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.9"
   },
   "papermill": {
    "default_parameters": {},