Improved CMIP6 models in simulating sea surface salinity and freshwater discharge – Increased by that?

Peer-reviewed publications

ATMOSPHERIC Institute of Physics, Chinese Academy of Sciences

Salinity alters the stratification of the ocean by influencing density, which has certain effects on the thermodynamic processes of the ocean, and then modulates the variation in sea surface salinity. With the development of numerical models in recent years, climate models have become an important tool for studying the mechanism of climate change and predicting climate change. It is possible and necessary to study the underlying mechanisms of El Niño-Southern Oscillation (ENSO) variation by considering the spatial and temporal characteristics of sea surface salinity in tropical Thailand. Binh Duong. The Paired Model Comparison Projects (CMIP) were initiated by the Working Group on Combined Modeling (WGCM) of the World Climate Research Program (WCRP) in 1995. With development and growth. In the rapidity of global ocean-atmospheric models, the CMIPs provide the basis for multi-model assessments that reveal differences between models and observations.

With Professor Hai Zhi from Nanjing University of Information Science and Technology as the first author, and Professor Pengfei Lin from the Institute of Atmospheric Physics, Chinese Academy of Sciences, as the respective authors, led a study in which CMIP data was used to compare model outputs and observations to evaluate the effectiveness of model simulations and capture the strengths and weaknesses of the models individual and differences between models. These results were recently published in Atmospheric and Oceanic Science Letters.

By comparing CMIP5 and CMIP6 simulations of the response of sea surface salinity and freshwater currents to ENSO in the tropical Pacific, it was shown that both CMIP5 and CMIP6 can better simulate the distribution of Spatial sea surface salinity and ENSO-related freshwater discharge variability. Compared with the CMIP5 models, year-to-year variation in sea surface salinity and freshwater flows simulated by the CMIP6 models showed greater improvement in some regions, correcting for the underestimation of the relationship between the two regions. Spatial relationship between changes in sea surface salinity and freshwater runoff in the Central-Western Pacific and ENSO. However, some CMIP6 models overestimate the strength of annual variation in sea surface salinity. The CMIP5 and CMIP6 models still have great uncertainty in simulating annual changes in sea surface salinity, and the associated physical processes need to be improved.

The results of our study, as part of the CMIP assessment, can be used as an assessment of the simulation results of the CMIP5 and CMIP6-related models for year-to-year continuous variations. on salinity and freshwater runoff in the tropical Pacific, and can provide Professor Zhi said.

JOURNEYS

Atmospheric and Oceanic Science Letters

DOI

10.1016 / j.aosl.2022.100190

ARTICLE TITLE

Annual variation of sea surface salinity and its associated freshwater currents in the tropical Pacific: A comparison between CMIP5 and CMIP6

ARTICLE PUBLICATION DATE

February 15, 2022

From EurekAlert!