Hands-on-ICON-data-analysis-for-beginners.md

@@ -1622,8 +1622,8 @@ eog ${figpath}/${expid}_${varname}_gzave_199001.png &
 
 ### Native grid with cdo
 General recommendation (not a fixed rule) for remapping ICON to lon/lat:
-high res to low res $\rightarrow$ remapycon (uses YAC conservative remapping)
-low res to high res $\rightarrow$ remapnn (nearest neighbour)
+- high res to low res --> remapycon (uses YAC conservative remapping)
+- low res to high res --> remapnn (nearest neighbour)
 
 <details><summary><b> Remap r2b9 (5km) ocean to 0.25deg grid  </b></summary> 
 
@@ -1651,7 +1651,7 @@ ncview ${varfile} &
 
 ```
 
-<img src="https://pad.gwdg.de/uploads/b9c5c71d-41d0-4f28-9980-b9431bd641b4.png" alt="SSH at 0.25deg resolution" width="400" />()
+<img src="https://pad.gwdg.de/uploads/b9c5c71d-41d0-4f28-9980-b9431bd641b4.png" alt="SSH at 0.25deg resolution" width="400" />
 
 </details>
 
@@ -1778,13 +1778,12 @@ data.tas.isel(cell=pix).sel(time="2020-09-30").plot(
 
 ## Caveats in ICON
 Honorable mentions on some caveats in ICON that may matter for the analysis.
-:::warning
+
 1) 3D **time-mean** atmospheric output on model levels only. See next section to [interpolate to pressure level](#Interpolating-from-model-levels-to-pressure-levels)
 2) Time shift in output (e.g. `cdo -shifttime,-14days` for monthly files)
 3) For sea surface height, better to use `ssh` instead of `zos`, especially under sea-ice
 4) ICON-A is non-hydrostatic, be careful with conversion of wa to omega
 5) Ocean has time-variant vertical coordinate system (zstar)
-:::
 
 ## Atmospheric 3D variables