qa

Satellite_ECVs/Ocean/satellite_satellite-sea-surface-temperature_consistency_q01.ipynb

@@ -23,15 +23,15 @@
    "id": "2",
    "metadata": {},
    "source": [
-    "## Use Case: Monitoring climate variability using satellite-derived SST"
+    "## 🌍 Use case: Monitoring climate variability using satellite-derived SST"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "3",
    "metadata": {},
    "source": [
-    "## Quality assessment question(s)\n",
+    "## ❓ Quality assessment question(s)\n",
     "* **Does these datasets provide consistent representations of SST climatology and its variability?**"
    ]
   },
@@ -50,7 +50,7 @@
    "id": "5",
    "metadata": {},
    "source": [
-    "## Quality assessment statement\n",
+    "## 📢 Quality assessment statement\n",
     "\n",
     "```{admonition} These are the key outcomes of this assessment\n",
     ":class: note\n",
@@ -86,7 +86,7 @@
    "id": "7",
    "metadata": {},
    "source": [
-    "## Methodology\n",
+    "## 📋 Methodology\n",
     "\n",
     "This Jupyter Notebook inter-compares the performances of the European Space Agency (ESA) Climate Change Initiative (CCI) SST (ESA-CCI) dataset v2.1 and the GHRSST multi product ensemble (GMPE) SST.\n",
     "\n",
@@ -125,7 +125,7 @@
    "id": "8",
    "metadata": {},
    "source": [
-    "## Analysis and results \n",
+    "## 📈 Analysis and results \n",
     "(section-1)=\n",
     "### 1. Import packages and define parameters for the requests to the CDS"
    ]
@@ -848,7 +848,7 @@
    "id": "34",
    "metadata": {},
    "source": [
-    "## If you want to know more\n",
+    "## ℹ️ If you want to know more\n",
     "\n",
     "### Key resources\n",
     "\n",