o paper: add cross_section_modes figure; expand use cases; update both drafts

Rajeev Jain · Rajeev Jain · commit f0d013f86886 · 2025-08-18T16:57:55.000-05:00
diff --git a/paper/images/cross_section_modes.svg b/paper/images/cross_section_modes.svg
@@ -0,0 +1,21 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="960" height="540" viewBox="0 0 960 540">
+  <rect width="100%" height="100%" fill="#0b1220"/>
+  <defs>
+    <style>.t{fill:#e5e7eb;font:16px sans-serif;text-anchor:middle}.s{fill:#d1d5db;font:12px sans-serif;text-anchor:middle}.arc{stroke:#ff7f0e;stroke-width:3;fill:none}.eq{stroke:#34d399;stroke-width:3;fill:none}.mer{stroke:#60a5fa;stroke-width:3;fill:none}</style>
+  </defs>
+  <text x="480" y="36" class="t">Cross-Section Modes</text>
+  <!-- Sphere -->
+  <circle cx="240" cy="270" r="160" fill="#1f2937" stroke="#374151"/>
+  <text x="240" y="95" class="s">Geodesic (great-circle)</text>
+  <path d="M120,360 Q240,160 360,360" class="arc"/>
+  <text x="120" y="375" class="s">start</text>
+  <text x="360" y="375" class="s">end</text>
+
+  <!-- Constant latitude -->
+  <circle cx="720" cy="270" r="160" fill="#1f2937" stroke="#374151"/>
+  <text x="720" y="95" class="s">Constant latitude / longitude</text>
+  <path d="M560,260 H880" class="eq"/>
+  <path d="M720,110 V430" class="mer"/>
+  <text x="650" y="250" class="s">lat = const</text>
+  <text x="760" y="160" class="s">lon = const</text>
+</svg>
diff --git a/paper/paper.md b/paper/paper.md
@@ -85,13 +85,16 @@ cs = uxds["psi"].cross_section(start=(-45, -45), end=(45, 45), steps=200)
 
 ![End-to-end data flow](images/data_flow.svg)
 
+![Cross-section modes](images/cross_section_modes.svg)
+
 # Use cases
 
-- Cross-section analysis along great-circle arcs and along constant parallels/meridians.
-- Zonal statistics for climate diagnostics.
-- Format-agnostic ingestion and analysis across UGRID/MPAS/Exodus/ICON/SCRIP/ESMF/FESOM/HEALPix.
-- Integration with visualization stacks (Cartopy, HoloViz) for interactive exploration.
-- Project Pythia examples of UXarray usage (to be summarized and cited with attribution).
+- Cross-section analysis along great-circle arcs and along constant parallels/meridians, including event-centric slices (e.g., cyclones, fronts).
+- Zonal statistics for climate diagnostics (means, anomalies, and contrasts across regimes).
+- Format-agnostic ingestion and analysis across UGRID/MPAS/Exodus/ICON/SCRIP/ESMF/FESOM/HEALPix for model intercomparison.
+- Remap pipeline for consistent statistics across meshes (nearest, conservative), paired with UXarray’s grid-aware abstractions.
+- Integration with visualization stacks (Cartopy, HoloViz) for interactive exploration and publication-quality plots.
+- Project Pythia examples of UXarray usage (to be summarized and cited with attribution) as on-ramps for new users.
 
 # Quality control
 
diff --git a/paper/uxarray_joss_paper.doc b/paper/uxarray_joss_paper.doc
@@ -99,6 +99,10 @@ examples of UXarray usage (with attribution) once gathered.
   <img src="images/data_flow.svg" alt="Data flow" width="800" />
   <figcaption>Figure 3: End-to-end data flow: inputs → normalization → grid → accessors → outputs.</figcaption>
 </figure>
+<figure>
+  <img src="images/cross_section_modes.svg" alt="Cross-section modes" width="800" />
+  <figcaption>Figure 4: Cross-section modes supported: geodesic (great-circle), constant latitude, constant longitude.</figcaption>
+</figure>
 
 <h3>Conclusions</h3>
 <p>
