Real-time environmental forecasts of the Chesapeake Bay: Model setup, improvements, and online visualization

Bever, Aaron J.; Friedrichs, Marjorie A.M.; St-Laurent, Pierre

doi:10.1016/j.envsoft.2021.105036

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Real-time environmental forecasts of the Chesapeake Bay: Model setup, improvements, and online visualization

2021
By Bever, Aaron J. ; Friedrichs, Marjorie A.M. ; St-Laurent, Pierre
Source: Environmental Modelling & Software, 140, 105036

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Journal Title:

Environmental Modelling & Software
Personal Author:

Bever, Aaron J. ; Friedrichs, Marjorie A.M. ; St-Laurent, Pierre

Bever, Aaron J. ; Friedrichs, Marjorie A.M. ; St-Laurent, Pierre Less -
NOAA Program & Office:

NOS (National Ocean Service)
Description:

Daily real-time nowcasts (current conditions) and 2-day forecasts of environmental conditions in the Chesapeake Bay have been continuously available for 4 years. The forecasts use a 3-D hydrodynamic-biogeochemical model with 1–2 km resolution and 3-D output every 6 h that includes salinity, water temperature, pH, aragonite saturation state, alkalinity, dissolved oxygen, and hypoxic volume. Visualizations of the forecasts are available through a local institutional website (www.vims.edu/hypoxia) and the MARACOOS Oceans Map portal (https://oceansmap.maracoos.org/chesapeake-bay/). Modifications to real-time graphics on the local website are routinely made based on stakeholder input and are formatted for use on a mobile device. Continuous model input files were developed from daily real-time forecast input files, for hindcast simulations and efficient evaluation and improvement of the real-time model. This manuscript describes the setup of the environmental forecasting system, how the model accuracy has been improved, and the revision of online graphics based on stakeholder feedback.
Keywords:

[+]

Ecological Modeling Environmental Engineering Software
Source:

Environmental Modelling & Software, 140, 105036
DOI:

https://doi.org/10.1016/j.envsoft.2021.105036
ISSN:

1364-8152
Format:

PDF
Publisher:

Elsevier BV
Document Type:

Journal Article
Funding:

Grant no. NA16NOS0120020 ; Grant no. NA16NOS4780207 ; Grant no. NA18OAR0170430

Grant no. NA16NOS0120020 ; Grant no. NA16NOS4780207 ; Grant no. NA18OAR0170430 Less -
License:

https://creativecommons.org/licenses/by/4.0/
Rights Information:

CC BY
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Library
Main Document Checksum:

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urn:sha256:80b829c595547fb31ac680fb6d9e6ec252dc40273feb5ffe4e211f9a254083d1
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https://repository.library.noaa.gov/view/noaa/59006/noaa_59006_DS1.pdf
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Real-time environmental forecasts of the Chesapeake Bay: Model setup, improvements, and online visualization

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