diff --git a/python/lsst/drp/tasks/forcedPhotCoadd.py b/python/lsst/drp/tasks/forcedPhotCoadd.py
index d8440563..bdbb6321 100644
--- a/python/lsst/drp/tasks/forcedPhotCoadd.py
+++ b/python/lsst/drp/tasks/forcedPhotCoadd.py
@@ -85,7 +85,7 @@ class ForcedPhotCoaddConnections(
     scarletModels = pipeBase.connectionTypes.Input(
         doc="Multiband scarlet models produced by the deblender",
         name="{inputCoaddName}Coadd_scarletModelData",
-        storageClass="ScarletModelData",
+        storageClass="LsstScarletModelData",
         dimensions=("tract", "patch", "skymap"),
     )
     refWcs = pipeBase.connectionTypes.Input(
@@ -106,7 +106,7 @@ def __init__(self, *, config=None):
         if config is None:
             return
 
-        if config.footprintDatasetName != "ScarletModelData":
+        if config.footprintDatasetName != "LsstScarletModelData":
             self.inputs.remove("scarletModels")
         if config.footprintDatasetName != "DeblendedFlux":
             self.inputs.remove("footprintCatInBand")
@@ -145,7 +145,7 @@ class ForcedPhotCoaddConfig(pipeBase.PipelineTaskConfig, pipelineConnections=For
         "Must have IDs that match those of the reference catalog."
         "If None, Footprints will be generated by transforming the reference Footprints.",
         dtype=str,
-        default="ScarletModelData",
+        default="LsstScarletModelData",
         optional=True,
     )
     doConserveFlux = lsst.pex.config.Field(
@@ -153,7 +153,7 @@ class ForcedPhotCoaddConfig(pipeBase.PipelineTaskConfig, pipelineConnections=For
         default=True,
         doc="Whether to use the deblender models as templates to re-distribute the flux "
         "from the 'exposure' (True), or to perform measurements on the deblender model footprints. "
-        "If footprintDatasetName != 'ScarletModelData' then this field is ignored.",
+        "If footprintDatasetName != 'LsstScarletModelData' then this field is ignored.",
     )
     doStripFootprints = lsst.pex.config.Field(
         dtype=bool,
@@ -237,7 +237,7 @@ def runQuantum(self, butlerQC, inputRefs, outputRefs):
         inputs = butlerQC.get(inputRefs)
 
         refCatInBand = inputs.pop("refCatInBand")
-        if self.config.footprintDatasetName == "ScarletModelData":
+        if self.config.footprintDatasetName == "LsstScarletModelData":
             footprintData = inputs.pop("scarletModels")
         elif self.config.footprintDatasetName == "DeblendedFlux":
             footprintData = inputs.pop("footprintCatIndBand")
@@ -279,7 +279,7 @@ def runQuantum(self, butlerQC, inputRefs, outputRefs):
             apCorrMap=apCorrMap,
         )
         # Strip HeavyFootprints to save space on disk
-        if self.config.footprintDatasetName == "ScarletModelData" and self.config.doStripFootprints:
+        if self.config.footprintDatasetName == "LsstScarletModelData" and self.config.doStripFootprints:
             sources = outputs.measCat
             for source in sources[sources["parent"] != 0]:
                 source.setFootprint(None)
@@ -302,7 +302,7 @@ def generateMeasCat(self, dataId, exposure, refCat, refCatInBand, refWcs, footpr
         refWcs : `lsst.afw.image.SkyWcs`
             Reference world coordinate system.
         footprintData : `ScarletDataModel` or `lsst.afw.table.SourceCatalog`
-            Either the scarlet data models or the deblended catalog containing
+            Either the scarlet data models or the deblended catalog containings
             footprints. If `footprintData` is `None` then the footprints
             contained in `refCatInBand` are used.
 
@@ -325,7 +325,7 @@ def generateMeasCat(self, dataId, exposure, refCat, refCatInBand, refWcs, footpr
             exposure, refCat, refWcs, idFactory=id_generator.make_table_id_factory()
         )
         # attach footprints here as this can naturally live inside this method
-        if self.config.footprintDatasetName == "ScarletModelData":
+        if self.config.footprintDatasetName == "LsstScarletModelData":
             # Load the scarlet models
             self._attachScarletFootprints(
                 catalog=measCat, modelData=footprintData, exposure=exposure, band=dataId["band"]