diff --git a/airflow/dags/transform_warehouse/README.md b/airflow/dags/transform_warehouse/README.md
index fae92942a5..f84ac9af73 100644
--- a/airflow/dags/transform_warehouse/README.md
+++ b/airflow/dags/transform_warehouse/README.md
@@ -11,4 +11,4 @@ This DAG has some special considerations:
 
 * Because the tasks in this DAG involve running a large volume of SQL transformations, they risk triggering data quotas if the DAG is run multiple times in a single day.
 
-* This task can be run with a `dbt_select` statement provided (use the `Trigger DAG w/ config` button in the Airflow UI and provide a JSON configuration like `{"dbt_select": "+<your_model_here>+"}` using [dbt selection syntax](https://docs.getdbt.com/reference/node-selection/syntax#specifying-resources)) to re-run a specific individual model's lineage.
+* This task can be run with a `dbt_select` statement provided (use the `Trigger DAG w/ config` button (option under the "play" icon in the upper right corner when looking at an individual DAG) in the Airflow UI and provide a JSON configuration like `{"dbt_select": "<+ if you want to run parents><your_model_here><+ if you want to run children>"}` using [dbt selection syntax](https://docs.getdbt.com/reference/node-selection/syntax#specifying-resources)) to re-run a specific individual model's lineage.
diff --git a/airflow/dags/transform_warehouse_full_refresh/README.md b/airflow/dags/transform_warehouse_full_refresh/README.md
index 334b5d98be..e9a0099cfe 100644
--- a/airflow/dags/transform_warehouse_full_refresh/README.md
+++ b/airflow/dags/transform_warehouse_full_refresh/README.md
@@ -4,6 +4,8 @@ Type: [Now / Ad-Hoc](https://docs.calitp.org/data-infra/airflow/dags-maintenance
 
 This DAG orchestrates the running of the Cal-ITP dbt project and deployment of associated artifacts like the [dbt docs site](https://dbt-docs.calitp.org/#!/overview) with the [`--full-refresh` flag set](https://docs.getdbt.com/docs/build/incremental-models#how-do-i-rebuild-an-incremental-model) so that incremental models will be rebuilt from scratch.
 
-**This task should generally only be run with a `dbt_select` statement provided (use the `Trigger DAG w/ config` button in the Airflow UI and provide a JSON configuration like `{"dbt_select": "+<your_model_here>+"} using [dbt selection syntax](https://docs.getdbt.com/reference/node-selection/syntax#specifying-resources)`). If you run this DAG without any selection criteria specified, you may need to increase the BigQuery quota for the project; refreshing all the GTFS-RT models uses up to ~60 TB as of 7/26/23.**
+**This task should generally only be run with a `dbt_select` statement provided:** (use the `Trigger DAG w/ config` button in the Airflow UI (option under the "play" icon in the upper right corner when looking at an individual DAG) and provide a JSON configuration like `{"dbt_select": "<+ if you want to full refresh parents><your_model_here><+ if you want to full refresh children>"}` using [dbt selection syntax](https://docs.getdbt.com/reference/node-selection/syntax#specifying-resources)).  **Note that all models selected by the selection syntax will be full-refreshed! Check all the incremental models selected by your syntax using the following from the command line in the repo's warehouse folder `poetry run dbt ls -s <your select statement here>,config.materialized:incremental --resource-type model`.**
+
+If you need to run this DAG without any selection criteria specified (i.e., full refresh literally everything), you may need to increase the BigQuery quota for the project; refreshing all the GTFS-RT models uses up to ~60 TB as of 7/26/23.
 
 See the [`transform_warehouse` README](../transform_warehouse/README.md) for general considerations for running the dbt DAGs.
diff --git a/docs/warehouse/developing_dbt_models.md b/docs/warehouse/developing_dbt_models.md
index 09f1830ee3..ad401bd4bf 100644
--- a/docs/warehouse/developing_dbt_models.md
+++ b/docs/warehouse/developing_dbt_models.md
@@ -387,6 +387,10 @@ You can compile the SQL for an incremental model and run it directly in BigQuery
 
 Working with incremental models can affect how you approach various dbt-related workflows. See callouts in the individual step sections above related to incremental models for more details.
 
+```{admonition} Identifying incremental models in your dependency tree
+If you're trying to identify whether there are incremental models in the dependency tree of a model you're working with, you can use the following command (run from the `warehouse` directory in the data infra repo): `poetry run dbt ls -s +<your_model>+,config.materialized:incremental --resource-type model`.
+```
+
 ## Helpful talks and presentations
 
 ### dbt at Cal-ITP introduction