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
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology & Institution of South China Sea Ecology and Environmental Engineering, Chinese Academy of Science, Guangzhou, China
Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou, China
Guangdong Key Laboratory of Ocean Remote Sensing, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology & Institution of South China Sea Ecology and Environmental Engineering, Chinese Academy of Science, Guangzhou, China
Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou, China
Hong Zhang
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Dustin Carroll
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, California, USA
Moss Landing Marine Laboratories, San José State University, Moss Landing, California, USA
State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology & Institution of South China Sea Ecology and Environmental Engineering, Chinese Academy of Science, Guangzhou, China
Southern Marine Science and Engineering Guangdong Laboratory, Guangzhou, China
College of Marine Science, University of Chinese Academy of Sciences, Guangzhou, China
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.
Simulation of coastal plume regions was improved in global ECCOv4 with a series of sensitivity...
