Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 14, issue 3
Articles | Volume 14, issue 3
https://doi.org/10.5194/gmd-14-1801-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-1801-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 3
Development and technical paper
 | 
01 Apr 2021
Development and technical paper |  | 01 Apr 2021

Improved representation of river runoff in Estimating the Circulation and Climate of the Ocean Version 4 (ECCOv4) simulations: implementation, evaluation, and impacts to coastal plume regions

Yang Feng, Dimitris Menemenlis, Huijie Xue, Hong Zhang, Dustin Carroll, Yan Du, and Hui Wu

Supplement

https://doi.org/10.5194/gmd-14-1801-2021-supplement

Data sets

Improved representation of river runoff in ECCOv4 simulations: implementation, evaluation and impacts to coastal plume regions Yang Feng https://doi.org/10.5281/zenodo.4106405

MITgcm model setup and output for "Improved representation of river runoff in ECCO simulations: implementation, evaluation, and impacts to coastal plume regions" Hong Zhang https://doi.org/10.5281/zenodo.4095613

ECCOv4 setup Dimitris Menemenlis http://wwwcvs.mitgcm.org/viewvc/MITgcm/MITgcm_contrib/llc_hires/

SMAP observations Dimitris Menemenlis http://apdrc.soest.hawaii.edu/las/v6/dataset?catitem=2928

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Short summary
Simulation of coastal plume regions was improved in global ECCOv4 with a series of sensitivity tests. We find modeled SSS is closer to SMAP when using daily point-source runoff as well as increasing the resolution from coarse to intermediate. The plume characteristics, freshwater transport, and critical water properties are modified greatly. But this may not happen with a further increase to high resolution. The study will advance the seamless modeling of land–ocean–atmosphere feedback in ESMs.
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