1. Home
  2. Rainfall IDF Curves
  3. Importing IDF Data

Importing IDF Data

Provided your state is one which is listed on NOAA Atlas 14, you can quickly import this data by first exporting it from NOAA’s Precipitation Frequency Data Server. To start, click the [NOAA] button on the Ribbon Toolbar to open the web server.

Then select your state and then move the red cross hair to your exact location.

 Be sure to set the Data type to “precipitation intensity” as shown below. 

At the bottom of the screen will be a table populated with your IDF data. You’ll see an option to export as a .csv file.

Click [Submit]. Then choose “Save As” from the dialog box and save this file as a .txt or .csv file, preferably in your Stormwater Studio > Rainfall folder.

Do not open in a spreadsheet and resave as this may modify the file format.

Next, click the [Import] button on the Stormwater Studio IDF Curves Wizard screen.

Select the file you just saved and click [Open]. Then Click [Apply]. Then click [Finish]. You’ll be taken back to the initial IDF Wizard screen where you’ll see your new IDF curves.

Save your curves by clicking the [Save] button and specifying a name for your file. An IDF extension will be applied. This file will automatically open each time you launch Stormwater Studio. You can, of course, change this file any time afterwards.

File Contents

If you open this file in your web browser, or other text viewer, it will look similar to the following:

Point precipitation frequency estimates (inches/hour)
NOAA Atlas 14, Volume 2, Version 3
Data type: Precipitation intensity
Time series type: Partial duration
Project area: Ohio River Basin
Latitude (decimal degrees): 33.8000
Longitude (decimal degrees): -81.0000

by duration for ARI:, 1,2,5,10,25,50,100,200,500,1000 years
5-min:, 5.51,6.37,7.26,8.17,9.19,10.04,10.86,11.65,12.62,13.51
10-min:, 4.40,5.09,5.81,6.54,7.32,8.00,8.63,9.23,9.98,10.64
15-min:, 3.66,4.27,4.90,5.52,6.18,6.76,7.27,7.77,8.38,8.90
30-min:, 2.51,2.95,3.48,4.00,4.58,5.09,5.57,6.05,6.66,7.21
60-min:, 1.57,1.85,2.23,2.60,3.05,3.45,3.83,4.24,4.78,5.26
2-hr:, 0.90,1.07,1.30,1.54,1.83,2.10,2.37,2.67,3.06,3.43
3-hr:, 0.63,0.75,0.92,1.10,1.32,1.53,1.75,1.98,2.32,2.63
6-hr:, 0.38,0.45,0.55,0.65,0.79,0.91,1.05,1.19,1.40,1.60
12-hr:, 0.22,0.26,0.32,0.38,0.46,0.54,0.62,0.72,0.85,0.97
24-hr:, 0.12,0.15,0.19,0.22,0.27,0.32,0.36,0.42,0.50,0.57
2-day:, 0.07,0.09,0.11,0.13,0.16,0.18,0.21,0.24,0.28,0.32
3-day:, 0.05,0.06,0.08,0.09,0.11,0.13,0.14,0.16,0.19,0.22
4-day:, 0.04,0.05,0.06,0.07,0.09,0.10,0.11,0.13,0.15,0.17
7-day:, 0.03,0.03,0.04,0.05,0.06,0.06,0.07,0.08,0.09,0.10
10-day:, 0.02,0.03,0.03,0.04,0.04,0.05,0.05,0.06,0.07,0.08
20-day:, 0.01,0.02,0.02,0.02,0.03,0.03,0.03,0.04,0.04,0.04
30-day:, 0.01,0.01,0.02,0.02,0.02,0.02,0.03,0.03,0.03,0.03
45-day:, 0.01,0.01,0.01,0.02,0.02,0.02,0.02,0.02,0.02,0.02
60-day:, 0.01,0.01,0.01,0.01,0.01,0.02,0.02,0.02,0.02,0.02

Date/time (GMT): Tue OCT 20 20:02:01 2017
pyRunTime: 0.0222988128662


Related Articles