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-MY-5Emerson 3.2 NEMontgomery2025-06-241.75MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-301.52MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-241.49MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-101.23MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-080.66MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-030.39MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-120.38MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-160.37MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-060.32MM
IA-MY-5Emerson 3.2 NEMontgomery2025-06-270.21MM
IA-MY-5Emerson 3.2 NEMontgomery2025-06-300.06MM
IA-MY-5Emerson 3.2 NEMontgomery2025-06-290.05MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-200.03MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-110.02MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-260.02MM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-13TMM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-05TMM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-25TMM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-01TMM
IA-MY-5Emerson 3.2 NEMontgomery2025-07-1900M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-0200M
IA-MY-5Emerson 3.2 NEMontgomery2025-06-2800M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-1500M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-0700M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-2900M
IA-MY-5Emerson 3.2 NEMontgomery2025-06-230MM
IA-MY-5Emerson 3.2 NEMontgomery2025-06-2600M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-0400M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-2100M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-2700M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-0900M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-1700M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-1400M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-2200M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-1800M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-2300M
IA-MY-5Emerson 3.2 NEMontgomery2025-07-2800M

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.