Biogeochemical cycling consequences due to the impacts on the cellular response to warming oceans

Submission information

Submission Number: 181

Submission ID: 3986

Submission UUID: 0d181ba5-730e-4363-b38c-74c804521913

Submission URI: /form/project

Created: Sat, 08/26/2023 - 06:57

Completed: Sat, 08/26/2023 - 07:00

Changed: Thu, 06/13/2024 - 06:21

Remote IP address: 104.28.39.76

Submitted by: Gaurav Khanna

Language: English

Is draft: No

Webform: Project

Project Title Biogeochemical cycling consequences due to the impacts on the cellular response to warming oceans

Program CAREERS

Project Image

Tags oceanography (331)

Status Complete

Project Leader

Project Leader Kei Inomura

Email inomura@uri.edu

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Project Personnel

Mentor(s) Keisuke Inomura

Student-facilitator(s) Gabrielle Armin

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Project Information

Project Description To evaluate the impact of the cellular response to warming oceans on the global biogeochemical cycles, we will use two computational models: The Cell Flux Model of Phytoplankton (CFM-Phyto) and MIT’s General Circulation Model (MIT-gcm). To run MIT-gcm, we require access to a high performance computing system. The main objectives of the project are to 1) Include CFM-Phyto in MIT-gcm’s representation of phytoplankton 2) Run various temperature scenarios 3) Evaluate/quantify the impact of the cell’s response to warming on global ocean cycles. These simulations will allow us to analyze the emerging elemental stoichiometry of phytoplankton in the surface ocean using data visualizations on maps of the global ocean. Additionally, these simulations may be used to illustrate the vertical distribution of carbon, which predict the differences in carbon export to the deep oceans depending on the effect of temperature, which has a great impact on climate regulation and long-term carbon storage.

The student will help get MIT-gcm running on the URI UNITY cluster and develop the optimal performance configuration to enable the multitude of simulations necessary for the overall goals of this research project.

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Project Institution University of Rhode Island -- Bay Campus

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Anchor Institution CR-University of Rhode Island

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Start as soon as possible. No

Project Urgency Already behind3Start date is flexible

Expected Project Duration (in months) 6

Launch Presentation

gabby.Careers.project.launch.pptx (2.19 MB)

Launch Presentation Date {Empty}

Wrap Presentation

careers_wrap.pptx (59.71 MB)

Wrap Presentation Date 04/10/2024

Project Milestones

Milestone Title: Milestone #1
Milestone Description: HPC access, setting up MITgcm-CFM, launch presentation, GitHub setup.
Completion Date Goal: 2023-11-30
Milestone Title: Milestone #2
Milestone Description: Including T dependences on MITgcm-CFM.
Completion Date Goal: 2023-12-30
Milestone Title: Milestone #3
Milestone Description: Model simulation with T dependences.
Completion Date Goal: 2024-01-31
Milestone Title: Milestone #4
Milestone Description: Comparing T dependent case and T independent cases.
Completion Date Goal: 2024-02-28
Milestone Title: Milestone #5
Milestone Description: Future simulation with increased T.
Completion Date Goal: 2024-03-30
Milestone Title: Milestone #6
Milestone Description: Future simulation analysis, update github, wrap presentation.
Completion Date Goal: 2024-04-30

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Final Report

What is the impact on the development of the principal discipline(s) of the project? Impact on oceanography: better representing lower trophic organisms in large ocean models. These organisms have a profound impact on ocean cycles and are often misrepresented. This model is a step towards making their physiology more realistic and represented in ocean models.

What is the impact on other disciplines? Impact to other disciplines: could lead to better climate predictions if applied to various models.

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Is there an impact on society beyond science and technology? Impact to society is a step toward a better climate model, which can be used for managing environments, such as fisheries.

Lessons Learned Lessons learned: I learned to work on the HPC environment. I had zero experience and by the end of the project was able to modify and run an ocean model, which is rather complex on the HPC.

Overall results Overall results: changing ocean temperatures increases dedication of carbon to storage in lower trophic organisms, which may impact the nutritional quality of phytoplankton for higher trophic levels.