Lab News
2024
05-11
Graduate Student Shihan Li publishes a new paper in Global and Planetary Change. This paper presents the details of iLOSCAR, an interactive carbon cycle model with two options (a forward model and an inverse model). Model's performance is validated through an identical twin test and model intercomparison, and it is applied to climate perturbation event to diagnose features of the emission pattern. Li, S., Zeebe, R. E., & Zhang, S., (2024). iLOSCAR: interactive Long-term Ocean-atmosphere-Sediment CArbon cycle Reservoir model v1.0. Global and Planetary Change, 236, 104413.
https://doi.org/10.1016/j.gloplacha.2024.104413 |
2023
12-11
- Dr. Shuang Zhang delivered a poster presentation at the 2023 American Geophysical Union (AGU) Conference, titled "A Dynamic River Network for Tracking Multi-Scale Responses to Enhanced Rock Weathering."
- Graduate Student Shihan Li , delivered a poster presentation at the 2023 AGU Conference, titled "iLOSCAR: interactive Long-term Ocean-atmosphere-Sediment Carbon cycle Reservoir Model with double-inversion algorithm."
- Dr. Shuang Zhang chaired a session at the 2023 AGU Conference, titled "GC51K: Enhanced Rock Weathering for Carbon Dioxide Removal: From Soils to the Ocean".
- Dr. Shuang Zhang, along with Dr. Tao Wen from Syracuse University, Dr. Preston Kemeny from the University of Chicago, and Dr. Anthony Castronova from CUAHSI, co-hosted a workshop at the 2023 AGU Conference, titled "SCIWS19: End Member Mixing Analysis in Hydrogeochemistry with Case Studies".
10-18
Dr. Shuang Zhang has a new grant funded by DOE: Carbon dioxide removal and high‐performance computing: Planetary Boundaries of Earth Shots. This collaborative endeavor, funded by the DOE’s Earth Shot initiative, unites 11 scientists from Yale (Lead PI: Peter Raymond), Georgia Tech, Princeton, and Texas A&M. Total award is $5M.
https://environment.yale.edu/news/article/yale-awarded-energy-earthshot-study-natural-carbon-capture |
06-30
Dr. Zhang contributes to a new publication in Frontiers in Climate. The study finds that adding fine-grained basalt to agricultural soils can significantly reduce nitrous oxide emissions, offering a dual environmental benefit with carbon dioxide removal. Chiaravalloti, I., Theunissen, N., Zhang, S., Wang, J., Sun, F., Ahmed, A. A., et al. (2023). Mitigation of soil nitrous oxide emissions during maize production with basalt amendments. Frontiers in Climate, 5. https://doi.org/10.3389/fclim.2023.1203043 |
06-15
Dr. Zhang contributes to a new publication in Science of The Total Environment. Using machine-learning models, the study evaluates the influences of human activities and natural factors on U.S. river salinization and alkalinization. E, B., Zhang, S., Driscoll, C. T., & Wen, T. (2023). Human and natural impacts on the U.S. freshwater salinization and alkalinization: A machine learning approach. Science of The Total Environment, 889, 164138. https://doi.org/10.1016/j.scitotenv.2023.164138 |
03-24
Graduate student Shihan Li is awarded the Schlanger Ocean Drilling Fellowship from the International Ocean Discovery Program (IODP) for 2023-2024. Schlanger fellows are selected by the U.S. Science Support Program (USSSP) of the IODP based on one-year research proposals submitted by applicants (only 4-6 students selected each year from across the whole U.S.). Total award is $30,000 for one year. His research topic is “Data-driven solution of the carbon emission conundrum over the Paleocene-Eocene Thermal Maximum (PETM) event”. Congratulations!
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03-24
Graduate student Bailey Armos won first place for Graduate Oral presentation for Earth sciences at the Student Research Week held at Texas A&M University. The topic of her presentation is “Large scale role of rivers on coastal biogeochemistry in the Gulf of Mexico: A data-driven machine learning approach”. Congratulations! More info can be found here: https://srw.tamu.edu/. |
01-31
Dr. Shuang Zhang has a new NSF grant entitled: Into the icehouse: Dramatic changes at the Devonian-Mississippian Climate Transition (DMCT). Dr. Ethan Grossman (Geology and Geophysics) is the lead-PI, with Dr. Shuang Zhang (Oceanography) and Dr. Lucien Nana Yobo (Geology and Geophysics) as co-PIs. https://www.nsf.gov/awardsearch/showAward?AWD_ID=2241039&HistoricalAwards=false
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01-07
Dr. Zhang contributes to a new publication in EPSL as one of the corresponding authors. They focused on two Permian biocrises and combined the U-isotope records with LOSCAR model. Their results indicated that the response of ecosystem during the carbon cycle perturbation is sensitive to the carbon emission rates. Wang, W., Zhang, F., Zhang, S., Cui, Y., Zheng, Q., Zhang, Y., et al. (2023). Ecosystem responses of two Permian biocrises modulated by CO2 emission rates. Earth and Planetary Science Letters, 602, 117940. https://doi.org/10.1016/j.epsl.2022.117940
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2022
11-30
Dr. Zhang hosts a workshop titled “Data Science Meets Carbon Cycle: Modeling rock weathering fluxes in the Gulf of Mexico region using machine learning”. This workshop was part of the Texas A&M Institute of Data Science Career Initiation Fellow Program to broaden knowledge of Data Science within Texas A&M and beyond The topics covered by the workshop include the R basics, data manipulation, data visualization, and machine learning in carbon cycle. More info can be found here: https://www.linkedin.com/feed/update/urn:li:activity:7004120752673157121/
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10-11
Dr. Zhang publishes a new paper in Limnology and Oceanography. This paper explores the capacity of rivers to carry dissolved products derived from enhanced rock weathering (ERW) without CO2 re-release , rendering a full understanding of the life cycle of ERW and its associated maximum carbon dioxide revoval potential. Zhang, S., Planavsky, N. J., Katchinoff, J., Raymond, P. A., Kanzaki, Y., Reershemius, T., & Reinhard, C. T. (2022). River chemistry constraints on the carbon capture potential of surficial enhanced rock weathering. Limnology and Oceanography. https://doi.org/10.1002/lno.12244 |
10-01
Dr. Zhang participates in the NSF-funded DeCODER project. This $3.2 million project aims to standardize how scientific data is described, allowing for search engines for scientific data that not only support discoverability but also facilitate the usage of the data. For more information: https://artsci.tamu.edu/news/2022/10/decoding-earth-science-tamu-oceanography-scientist-joins-nsf-funded-data-project.html |