Constructing a model including the cryptic sulfur cycle in Chesapeake Bay requires judicious choices for key processes and parameters

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Constructing a model including the cryptic sulfur cycle in Chesapeake Bay requires judicious choices for key processes and parameters. / Jin, Rui; Pradal, Marie-Aude; Hantsoo, Kalev; Gnanadesikan, Anand; St-Laurent, Pierre; Bjerrum, Christian J.

I: MethodsX, Bind 11, 102253, 2023.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Jin, R, Pradal, M-A, Hantsoo, K, Gnanadesikan, A, St-Laurent, P & Bjerrum, CJ 2023, 'Constructing a model including the cryptic sulfur cycle in Chesapeake Bay requires judicious choices for key processes and parameters', MethodsX, bind 11, 102253. https://doi.org/10.1016/j.mex.2023.102253

APA

Jin, R., Pradal, M-A., Hantsoo, K., Gnanadesikan, A., St-Laurent, P., & Bjerrum, C. J. (2023). Constructing a model including the cryptic sulfur cycle in Chesapeake Bay requires judicious choices for key processes and parameters. MethodsX, 11, [102253]. https://doi.org/10.1016/j.mex.2023.102253

Vancouver

Jin R, Pradal M-A, Hantsoo K, Gnanadesikan A, St-Laurent P, Bjerrum CJ. Constructing a model including the cryptic sulfur cycle in Chesapeake Bay requires judicious choices for key processes and parameters. MethodsX. 2023;11. 102253. https://doi.org/10.1016/j.mex.2023.102253

Author

Jin, Rui ; Pradal, Marie-Aude ; Hantsoo, Kalev ; Gnanadesikan, Anand ; St-Laurent, Pierre ; Bjerrum, Christian J. / Constructing a model including the cryptic sulfur cycle in Chesapeake Bay requires judicious choices for key processes and parameters. I: MethodsX. 2023 ; Bind 11.

Bibtex

@article{57b5776af6f7480bae62eb93a0a6957d,
title = "Constructing a model including the cryptic sulfur cycle in Chesapeake Bay requires judicious choices for key processes and parameters",
abstract = "A new biogeochemical model for Chesapeake Bay has been developed by merging two published models – the ECB model of Da et al. (2018) that has been calibrated for the Bay but only simulates nitrogen, carbon and oxygen and the BioRedoxCNPS model of al Azhar et al. (2014) and Hantsoo et al. (2018) that includes cryptic sulfur cycling. Comparison between these models shows that judicious choices are required for key processes and parameters. This manuscript documents the sources of differences between the two published models in order to select the most realistic configuration for our new model. • This study focuses on three sets of differences–processes only included in ECB (burial and dissolved organic matter), processes only included in BioRedoxCNPS (explicit dynamics for hydrogen sulfide, sulfate and nitrite, light attenuation that does not include CDOM or sediments), and differences in parameters common to the two codes. • Sensitivity studies that highlight particular choices (absorption by dissolved organic matter, nitrification rates, stoichiometric ratios) are also shown. • The new model includes sulfur cycling and has comparable skill in predicting oxygen as ECB, but also has improved simulation of nitrogen species compared with both original codes.",
keywords = "Hypoxia, Modeling predictions, Nitrification, Optics absorption, Particle sinking, Stoichiometry",
author = "Rui Jin and Marie-Aude Pradal and Kalev Hantsoo and Anand Gnanadesikan and Pierre St-Laurent and Bjerrum, {Christian J.}",
note = "Publisher Copyright: {\textcopyright} 2023",
year = "2023",
doi = "10.1016/j.mex.2023.102253",
language = "English",
volume = "11",
journal = "MethodsX",
issn = "2215-0161",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Constructing a model including the cryptic sulfur cycle in Chesapeake Bay requires judicious choices for key processes and parameters

AU - Jin, Rui

AU - Pradal, Marie-Aude

AU - Hantsoo, Kalev

AU - Gnanadesikan, Anand

AU - St-Laurent, Pierre

AU - Bjerrum, Christian J.

N1 - Publisher Copyright: © 2023

PY - 2023

Y1 - 2023

N2 - A new biogeochemical model for Chesapeake Bay has been developed by merging two published models – the ECB model of Da et al. (2018) that has been calibrated for the Bay but only simulates nitrogen, carbon and oxygen and the BioRedoxCNPS model of al Azhar et al. (2014) and Hantsoo et al. (2018) that includes cryptic sulfur cycling. Comparison between these models shows that judicious choices are required for key processes and parameters. This manuscript documents the sources of differences between the two published models in order to select the most realistic configuration for our new model. • This study focuses on three sets of differences–processes only included in ECB (burial and dissolved organic matter), processes only included in BioRedoxCNPS (explicit dynamics for hydrogen sulfide, sulfate and nitrite, light attenuation that does not include CDOM or sediments), and differences in parameters common to the two codes. • Sensitivity studies that highlight particular choices (absorption by dissolved organic matter, nitrification rates, stoichiometric ratios) are also shown. • The new model includes sulfur cycling and has comparable skill in predicting oxygen as ECB, but also has improved simulation of nitrogen species compared with both original codes.

AB - A new biogeochemical model for Chesapeake Bay has been developed by merging two published models – the ECB model of Da et al. (2018) that has been calibrated for the Bay but only simulates nitrogen, carbon and oxygen and the BioRedoxCNPS model of al Azhar et al. (2014) and Hantsoo et al. (2018) that includes cryptic sulfur cycling. Comparison between these models shows that judicious choices are required for key processes and parameters. This manuscript documents the sources of differences between the two published models in order to select the most realistic configuration for our new model. • This study focuses on three sets of differences–processes only included in ECB (burial and dissolved organic matter), processes only included in BioRedoxCNPS (explicit dynamics for hydrogen sulfide, sulfate and nitrite, light attenuation that does not include CDOM or sediments), and differences in parameters common to the two codes. • Sensitivity studies that highlight particular choices (absorption by dissolved organic matter, nitrification rates, stoichiometric ratios) are also shown. • The new model includes sulfur cycling and has comparable skill in predicting oxygen as ECB, but also has improved simulation of nitrogen species compared with both original codes.

KW - Hypoxia

KW - Modeling predictions

KW - Nitrification

KW - Optics absorption

KW - Particle sinking

KW - Stoichiometry

U2 - 10.1016/j.mex.2023.102253

DO - 10.1016/j.mex.2023.102253

M3 - Journal article

C2 - 38098778

AN - SCOPUS:85162243476

VL - 11

JO - MethodsX

JF - MethodsX

SN - 2215-0161

M1 - 102253

ER -

ID: 369246610