troubleshooting imerg

NASA-IMPACT · Jan 30, 2025 · eac5591 · eac5591
1 parent a58b37a
commit eac5591
Showing 1 changed file with 19 additions and 19 deletions.
diff --git a/stories/derecho.stories.mdx b/stories/derecho.stories.mdx
@@ -160,8 +160,8 @@ taxonomy:
   <Chapter
     center={[-97.2603, 42.6222]}
     zoom={12}
-    datasetId='GPM_3IMERGDF'
-    layerId='precipitation'
+    datasetId='GPM_3IMERGDF.v07'
+    layerId='GPM_3IMERGDF.v07'
     datetime='2022-05-12'
   >
    ## Nebraska
@@ -190,15 +190,15 @@ taxonomy:
   <Chapter
     center={[-97.2603, 42.6222]}
     zoom={12}
-    datasetId='GPM_3IMERGDF'
-    layerId='precipitation'
+    datasetId='GPM_3IMERGDF.v07'
+    layerId='GPM_3IMERGDF.v07'
     datetime='2022-05-12'
   >
    Not only did the extreme winds cause extensive damage to infrastructure, the storm carried immense amounts of dust, forming an intense dust storm called a haboob. This was specifically bad, due to the drought experienced in the region that caused top soils to easily blow off farm fields. This caused reduced visibility to near zero in many rural areas, creating both a travel hazard for many motorists caught on the roadways while destroying the farmland in the central and eastern parts of the state. 
   <Figure>
     <Image
       src={new URL('./derecho-photo3.jpg', import.meta.url).href}
-      alt='Kyle Coners photo of the derecho's intense dust storm'
+      alt='Kyle Coners photo of the Haboob'
     />
     <Caption>
     The leading edge of the dust storm, called a haboob, as it entered southeastern South Dakota and northwestern Iowa from northeastern Nebraska. courtesy of [Kyle Coners](https://www.weather.gov/abr/StormsummaryMay122022).
@@ -209,8 +209,8 @@ taxonomy:
   <Chapter
     center={[-96.7123, 43.8250]}
     zoom={12}
-    datasetId='GPM_3IMERGDF'
-    layerId='precipitation'
+    datasetId='GPM_3IMERGDF.v07'
+    layerId='GPM_3IMERGDF.v07'
     datetime='2022-05-12'
   >
    ## South Dakota
@@ -239,8 +239,8 @@ taxonomy:
   <Chapter
     center={[-97.0287, 44.7236]}
     zoom={12}
-    datasetId='GPM_3IMERGDF'
-    layerId='precipitation'
+    datasetId='GPM_3IMERGDF.v07'
+    layerId='GPM_3IMERGDF.v07'
     datetime='2022-05-12'
   >
    Castlewood, South Dakota in particular experienced an EF2 tornado that destroyed homes, barns, and grain bins along with the intense straight line winds. The town experienced widespread power outages and structural collapse. The National Weather Service in Aberdeen documented extensive damage, with debris scattered across agricultural fields, posing significant challenges for farmers. 
@@ -276,8 +276,8 @@ taxonomy:
   <Chapter
     center={[-96.2967, 43.2022]}
     zoom={12}
-    datasetId='GPM_3IMERGDF'
-    layerId='precipitation'
+    datasetId='GPM_3IMERGDF.v07'
+    layerId='GPM_3IMERGDF.v07'
     datetime='2022-05-12'
   >
    ## Iowa
@@ -306,8 +306,8 @@ taxonomy:
   <Chapter
     center={[-95.9866, 44.8525]}
     zoom={9}
-    datasetId='GPM_3IMERGDF'
-    layerId='precipitation'
+    datasetId='GPM_3IMERGDF.v07'
+    layerId='GPM_3IMERGDF.v07'
     datetime='2022-05-12'
   >
    ## Minnesota
@@ -336,8 +336,8 @@ taxonomy:
   <Chapter
     center={[-95.7822, 45.4491]}
     zoom={9}
-    datasetId='GPM_3IMERGDF'
-    layerId='precipitation'
+    datasetId='GPM_3IMERGDF.v07'
+    layerId='pGPM_3IMERGDF.v07'
     datetime='2022-05-12'
   >
    Tornadoes associated with the system struck rural areas, damaging homes, uprooting trees, and devastating farmland. The National Weather Service confirmed at least 18 tornadoes in Minnesota during this event, marking one of the most significant single-day tornado outbreaks in the state's recent history. One notable tornado touched down near Alexandria, causing significant damage to homes and uprooting numerous trees. Another tornado near Madison led to the partial removal of roofs from buildings and extensive tree damage.
@@ -373,8 +373,8 @@ taxonomy:
   <Chapter
     center={[-96.6053, 46.2641]}
     zoom={11}
-    datasetId='GPM_3IMERGDF'
-    layerId='precipitation'
+    datasetId='GPM_3IMERGDF.v07'
+    layerId='GPM_3IMERGDF.v07'
     datetime='2022-05-12'
   >
    ## North Dakota
@@ -403,8 +403,8 @@ taxonomy:
   <Chapter
     center={[-97.5333, 48.3833]}
     zoom={12}
-    datasetId='GPM_3IMERGDF'
-    layerId='precipitation'
+    datasetId='GPM_3IMERGDF.v07'
+    layerId='GPM_3IMERGDF.v07'
     datetime='2022-05-12'
   >
    Farmers in affected regions faced soil erosion and flooding, creating planting delays as a result of the storm's aftermath.