This page allows you to explore CoCoRaHS observations for a given state by date or by single station for a given year. You can then click on stations and dates to update the data presentation.

Option 1: Select State and Date
Option 2: Select Station and Year
ID #: Site Name: County: Date: Precip Snowfall Snow Depth
IA-DB-16Peosta 2.9 EDubuque2025-08-112.78MM
IA-DB-16Peosta 2.9 EDubuque2025-06-191.93MM
IA-DB-16Peosta 2.9 EDubuque2025-05-201.53MM
IA-DB-16Peosta 2.9 EDubuque2025-07-121.42MM
IA-DB-16Peosta 2.9 EDubuque2025-07-111.4MM
IA-DB-16Peosta 2.9 EDubuque2025-06-241.37MM
IA-DB-16Peosta 2.9 EDubuque2025-08-101.34MM
IA-DB-16Peosta 2.9 EDubuque2025-06-271.09MM
IA-DB-16Peosta 2.9 EDubuque2025-07-281.03MM
IA-DB-16Peosta 2.9 EDubuque2025-04-210.87MM
IA-DB-16Peosta 2.9 EDubuque2025-04-020.77MM
IA-DB-16Peosta 2.9 EDubuque2025-07-300.73MM
IA-DB-16Peosta 2.9 EDubuque2025-03-240.68MM
IA-DB-16Peosta 2.9 EDubuque2025-08-120.64MM
IA-DB-16Peosta 2.9 EDubuque2025-07-310.64MM
IA-DB-16Peosta 2.9 EDubuque2025-07-060.61MM
IA-DB-16Peosta 2.9 EDubuque2025-05-010.55MM
IA-DB-16Peosta 2.9 EDubuque2025-05-210.53MM
IA-DB-16Peosta 2.9 EDubuque2025-06-300.5MM
IA-DB-16Peosta 2.9 EDubuque2025-06-040.45MM
IA-DB-16Peosta 2.9 EDubuque2025-10-180.35MM
IA-DB-16Peosta 2.9 EDubuque2025-08-190.3MM
IA-DB-16Peosta 2.9 EDubuque2025-06-210.26MM
IA-DB-16Peosta 2.9 EDubuque2025-06-160.23MM
IA-DB-16Peosta 2.9 EDubuque2025-06-260.21MM
IA-DB-16Peosta 2.9 EDubuque2025-07-270.21MM
IA-DB-16Peosta 2.9 EDubuque2025-04-180.2MM
IA-DB-16Peosta 2.9 EDubuque2025-08-300.2MM
IA-DB-16Peosta 2.9 EDubuque2025-10-190.18MM
IA-DB-16Peosta 2.9 EDubuque2025-05-220.15MM
IA-DB-16Peosta 2.9 EDubuque2025-07-240.12MM
IA-DB-16Peosta 2.9 EDubuque2025-07-290.1MM
IA-DB-16Peosta 2.9 EDubuque2025-09-040.1MM
IA-DB-16Peosta 2.9 EDubuque2025-09-190.09MM
IA-DB-16Peosta 2.9 EDubuque2025-05-020.04MM
IA-DB-16Peosta 2.9 EDubuque2025-06-200.02MM
IA-DB-16Peosta 2.9 EDubuque2025-04-190.01MM

Usage Tips:

  • You can highlight the entire table with your cursor and copy-paste it into a spreadsheet program.
  • Errors exist in this dataset and you should evaluate the observations before using.