The Antecedent Moisture Model Learning Library

Wet versus dry antecedent moisture conditions

Antecedent Moisture Model (AMM) Overview

Rainfall-runoff dynamics of surface water, combined sewer, and separate sewer systems can be highly impacted by antecedent moisture conditions, or the relative wetness or dryness of the system. Simulating these dynamics with a reasonable degree of accuracy is critical so that predictive models of systems can be developed for risk management, planning, and design of upgrades.

This page presents the results of 25 years of work formulating, applying and refining a hydrologic model that addresses the impacts of antecedent moisture conditions on the rainfall-runoff process. The AMM equations and model process are released into the public domain to aid engineers in analyzing and modeling these systems. References, resources and tools are presented here to help facilitate that process. Please contact us if you have any questions about these materials.

Resources on the Antecedent Moisture Model

AMM and H2Ometrics

The H2Ometrics platform contains many tools that were specifically developed to aid in the development of AMMs such as data scrubbing toolsdiurnal filter toolsI&I computationsI&I metricsbase flow modelsAMM model development toolsaccuracy of fit metrics, and frequency analysis toolsContact us for more information.

The AMM process and equations are in the public doman. The documents and videos contained here are Copyright © 2020 by H2Ometrics. All rights reserved.