Update readme.md

samples/Python Scripts/Snow Data Processing/readme.md

@@ -2,7 +2,7 @@
 SAM has a model for processing snow depth data to estimate snow losses
 during a simulation. However, the NSRDB doesn't have snow depth data in
 the PSMV3 files (as of 4/18/24) so this script provides an example
-of converting USDA NRCS SNOWTEL data into a format usable by SAM.
+of converting USDA NRCS SNOTEL data into a format usable by SAM.
 
 SNOTEL sites are mostly available in mountanous regions of the Western U.S.
 Sites in the Midwest or Northeast are unlikely to find this methodology useful.
@@ -22,12 +22,12 @@ ipykernel==6.19.2
 ## Steps to run:
 1. Install the above requirements in a Python environment.
 2. Go to https://nwcc-apps.sc.egov.usda.gov/imap and see if there is a relevant station.
-3. If there is such a station click on it, then click on the graph to see the historical data.
-4. From the graph page, click on "csv" next to "link to data" on the top. Save the data
-to the appropriate folder
-5. Open "snowtel depth data process.ipynb", set the environment to step (1) and follow the instructions there
-6. Add the data to the appropriate weather file by adding a column with the title "Snow Depth" 
-and pasting the output file from step 5 into it.
+3. If there is such a station click on it in the map.
+4. Click on the graph to open a page with historical data.
+5. From the graph page, click on "csv" next to "link to data" at the top center of the graph. Save the data
+to the appropriate folder.
+6. Open "snotel depth data process.ipynb", set the environment to step (1) and follow the instructions there. This will create a CSV file with one column of snow depth data.
+7. Use a spreadsheet program to add the column of snow depth data to the appropriate weather file with the column heading "Snow Depth."
 
 ### SNOTEL data access
 SNOTEL data is published in the public domain. See https://catalog.data.gov/dataset/snowpack-telemetry-network-snotel for more information.