Please use this identifier to cite or link to this item: https://hdl.handle.net/11681/47599
Title: Real-time forecasting model development work plan
Authors: Messina, Francesca
Georgiou, Ioannis Y.
Baustian, Melissa M. (Melissa Millman)
Dahl, Travis A.
Ryder, Jodi L.
Miner, Michael D.
Heath, Ronald E.
Keywords: Environmental management
Flood control
Forecasting
Hydrodynamics
Mississippi River
Salinity
Sediment transport
Publisher: Engineer Research and Development Center (U.S.)
Series/Report no.: Special Report (Engineer Research and Development Center (U.S.)) ; no. ERDC SR-23-8
Abstract: The objective of the Lowermost Mississippi River Management Program is to move the nation toward more holistic management of the lower reaches of the Mississippi River through the development and use of a science-based decision-making framework. There has been substantial investment in the last decade to develop multidimensional numerical models to evaluate the Lowermost Mississippi River (LMMR) hydrodynamics, sediment transport, and salinity dynamics. The focus of this work plan is to leverage the existing scientific knowledge and models to improve holistic management of the LMMR. Specifically, this work plan proposes the development of a real-time forecasting (RTF) system for water, sediment, and selected nutrients in the LMMR. The RTF system will help inform and guide the decision-making process for operating flood-control and sediment-diversion structures. This work plan describes the primary components of the RTF system and their interactions. The work plan includes descriptions of the existing tools and numerical models that could be leveraged to develop this system together with a brief inventory of existing real-time data that could be used to validate the RTF system. A description of the tasks that would be required to develop and set up the RTF system is included together with an associated timeline.
Description: Special Report
Gov't Doc #: ERDC SR-23-8
Rights: Approved for Public Release; Distribution is Unlimited
URI: https://hdl.handle.net/11681/47599
http://dx.doi.org/10.21079/11681/47599
Appears in Collections:Special Report

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