Today’s blog will focus on the capabilities that MetStorm™ and what it has to offer.

To reiterate from our previous “Welcome!” blog post, MetStorm™ offers unique storm precipitation analytics which include a depth-area-duration (DAD) table and plot, average recurrence interval map, and mass curve table/plot for the storms’ center.

Here are general descriptions for each of these analytics:

  • Depth-Area-Duration (DAD) table and plot
    • DADs represent various areal rainfall depths for a given duration from a storm event at different area sizes
    • DAD domains require uniform topography and precipitation timing to produce accurate and realistic results
    • DADs are commonly used in frequency analyses and Probable Maximum Precipitation (PMP) analyses for various applications including hydrologic modeling, stochastic modeling, and other engineering design applications
  • Average Recurrence Interval (ARI) map
    • Also known as and referred to as return period
    • ARIs represent a current precipitation event (amount per unit time) as the average number of years (climatologically) between equivalent events for a specific location (see an article on Forecasting ARI maps co-authored by our very own Tye Parzybok for more information about ARIs)
    • Generally speaking, ARIs help convey the rareness of rainfall and high impact storms
  • Mass Curve table and plot
    • A 2-D area plot displaying the hourly rainfall amounts as a function of time at the storm’s maximum grid cell
    • Also includes a summation line plot overlay to show enhanced timing of the storm and when the precipitation tappers off
  • Station Catalog
    • A complete listing of the rain gauge data used and their metadata (latitude, longitude, elevation, etc.)

A subset of these analytics will be available for free here on our blog for significant storms, the total MetStorm™ package can be available upon request.

If you have more questions/comments, feel free to send us an email at or send a message through our contacts page! As always we hope you enjoyed our blog post today, come back soon!

-MetStat team