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​Probable Maximum Precipitation Study and Evaluation Tool​

Jump to the PMP Tool and Study ​download links.

Background

The Probable Maximum Precipitation (PMP) is an estimate of the highest rainfall that could fall in a specific area and timeframe. Engineers rely on the PMP to design infrastructure in your community, from dams and levees to roads and railways. The PMP is an integral part of hydrology, hydraulics, and dam safety in Maryland.

In April 2025, the Maryland Dam Safety program completed an update of statewide PMP data through a two-year PMP study conducted by Applied Weather Associates (AWA). Parameters to estimate PMP were developed using the storm based, deterministic approach as discussed in the NOAA Hydrometeorological Reports (HMRs) and subsequently refined in the numerous site-specific, statewide, and regional PMP studies completed since the early 1990’s. The Maryland PMP study included consideration of numerous extreme rainfall events that have been appropriately adjusted to each grid point and representing each storm type, local, general, and tropical. This large number of storm events provided enough data from which to derive the PMP. The process of combining maximized storm events by storm type into a hypothetical PMP design storm resulted in a reliable PMP estimation by combining the worst-case combination of meteorological factors in a physically possible manner.

This study provides gridded PMP values for all drainage basins within Maryland, including regions adjacent to the state that also provide runoff into drainage basins within Maryland.

Effective April 8, 2025, the selection and usage of PMP values in the design of dams will be governed by the results of the Maryland PMP study. PMP values provided in the Maryland PMP study supersede the current HMR PMP depths from HMR 40 (Goodyear and Riedel, 1965); HMR 51 (Schreiner and Riedel, 1978); and HMR 52 (Hansen et al., 1982).

In comparison to the HMRs, the new study:

  • Provides reproducible results.
  • Uses a gridded dataset within the GIS platform that relies on computer analysis rather than human interpretation of contours.
  • Reviews 50 years of new data—including 24 new storms for analysis that were not accounted for in the HMRs.
  • Includes temporal and spatial distributions of PMP rainfall events.

Use and Acceptance of PMP Study

Data, assumptions, and analysis techniques used in this study have been reviewed and accepted by the Steering Committee (which included representation from the National Weather Service, Academia, Natural Resources Conservation Service, United States Army Corps of Engineers, and the North Dakota Department of Water Resources). Additionally, significant input was also provided by other study participants including the Federal Energy Regulatory Commission and numerous private consultants.

Results of this analysis reflect the current standard of practice used for defining PMP, including comprehensive storm analyses procedures, extensive use of geographic information systems (GIS), explicit quantification of orographic effects, updated maximum dew point for storm maximization, and improved understanding of the weather and climate related to extreme rainfall throughout the region.

All deliverables for the Probable Maximum Precipitation Study are being provided herein with the expressed understanding that the Maryland Department of the Environment and the State of Maryland are releasing these products at the user’s own risk. It is the owner and its engineer who are expected to take all steps necessary to ensure proper use and understanding of these products and that all information is being properly interpreted and applied.

FAQs

What is Probable Maximum Precipitation (PMP)?

 
Probable Maximum Precipitation (PMP) refers to the theoretically greatest depth of precipitation for a given duration that is physically possible over a particular area.



Why is Probable Maximum Precipitation important?

 
PMP serves as a critical tool for designing hydraulic structures, such as dams, spillways, and flood control systems. It helps in assessing the maximum possible rainfall that could occur under extreme conditions, aiding in infrastructure resilience and sa

How is Probable Maximum Precipitation determined?

 

PMP is determined through a combination of historical meteorological data analysis, atmospheric science principles, and mathematical modeling techniques. It involves analyzing extreme weather events, topographical features, and atmospheric dynamics to est​

What factors are considered in determining Probable Maximum Precipitation?

 
Factors considered include historical precipitation records, atmospheric moisture content, topography, storm dynamics, and climatological patterns. Advanced computational models are also employed to simulate extreme weather scenarios.

Can Probable Maximum Precipitation estimates change over time?

 
Yes, PMP estimates can change due to improvements in data collection methods, advancements in meteorological science, and updates to modeling techniques. Changes in land use patterns and climate variability may also influence PMP estimates.​

How are Probable Maximum Precipitation estimates used in infrastructure design?

 
PMP estimates serve as a basis for designing hydraulic structures to withstand extreme weather events. Engineers use these estimates to establish design criteria for dams, levees, stormwater management systems, and other infrastructure projects to ensure ​

Are Probable Maximum Precipitation estimates the same across different regions?

 
No, PMP estimates vary depending on factors such as geographic location, climate regime, terrain characteristics, and local meteorological conditions. Each region requires its own tailored analysis to account for these variables accurately. In Maryland, t​

How can Probable Maximum Precipitation estimates be integrated with other hydrological data in infrastructure design?

 
Probable Maximum Precipitation estimates are often integrated with other hydrological data, such as streamflow data, rainfall intensity-duration-frequency (IDF) curves, and watershed modeling results. This integrated approach helps engineers develop compr

How does climate change impact Probable Maximum Precipitation studies and their implications for infrastructure design?

 
Climate change can significantly influence precipitation patterns, altering the frequency and intensity of extreme weather events. As a result, Probable Maximum Precipitation (PMP) estimates may need to be reassessed to account for changing climatic condi​

PMP Tool and Documentation

PMP Study

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New PMP va​lues vs. HMR 51​​​

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