The full fluxes and associated air-sea variables based on three months of operational buoy observations in the East China Sea (ECS) in summer 2020 were analyzed for the first time. The surface net heat flux ( Q net ) was positive (139.7±77.7 W/m 2 ) and was dominated by the combined effects of solar shortwave radiation (SW) and latent heat fluxes (LH). The mean heat flux components of 4 reanalysis datasets (NCEP2, MERRA-2, CFSR, and ERA5) and buoy data were compared to assess the mean ability of the modeling/reanalysis simulation. Among the four components of air-sea flux, SW was the best simulated, while LH was the worst simulated. The longwave radiation (LW) and LH values from reanalysis were higher than those from buoy data, especially LH. The high LH resulted in low Q net . Furthermore, the 4 reanalysis datasets were compared with the buoy dataset. Among all flux products, the difference in radiation flux was the smallest, while that in the turbulent flux was the greatest. The observed variables related to turbulent flux were analyzed to help determine the cause of the flux discrepancies. High wind speeds were the main cause of this difference. Using the variables provided by the reanalysis data and the same bulk formulas of the Coupled Ocean-Atmospheric Response Experiment (COARE 3.0), we found that the recalculated sensible heat flux (SH) and LH were closer to the observed heat fluxes than the direct model outputs. The significant differences between these methods could account for the discrepancies among different data. Among all air-sea flux products, the air-sea flux in ERA5 was closer to the in-situ observations than the other products. The comparison results of reanalysis data provide an important reference for more accurate studies of the summer heat flux in the ECS at the synoptic and climatic scales.

Yuting HAN;Yangang LI;Changsan XU;Lei LIU;Yanling ZHAO;Wenqing LI;Xiangzhou SONG

Key Laboratory of Marine Hazards Forecasting,Ministry of Natural Resources(MNR),Hohai University,Nanjing 210024,China;National Marine Environmental Forecasting Center(NMEFC),Beijing 100081,China;East China Sea Bureau of MNR,Shanghai 200081,China;Institute of Oceanographic Instrumentation,Qilu University of Technology,Qingdao 266075,China;The PLA 31010 Units,Beijing 100081,China

海洋湖沼学报（英文版）

[1]Yuting HAN;Yangang LI;Changsan XU;Lei LIU;Yanling ZHAO;Wenqing LI;Xiangzhou SONG-.Coastal buoy observation of air-sea net heat flux in the East China Sea in summer 2020)[J].海洋湖沼学报（英文版）,2022(03):907-921

COARE

Coastal,buoy,air,sea,net,heat,East,China,Sea,summer,full,fluxes,associated,variables,three,months,operational,observations,ECS,were,analyzed,first,surface,was,positive,dominated,by,combined,effects,solar,shortwave,radiation,SW,latent,LH,mean,components,reanalysis,datasets,NCEP2,MERRA,CFSR,ERA5,compared,assess,ability,modeling,simulation,Among,four,best,simulated,while,worst,longwave,LW,values,from,higher,than,those,especially,resulted,low,Furthermore,products,smallest,that,turbulent,greatest,observed,related,help,determine,cause,discrepancies,High,wind,speeds,main,this,Using,provided,same,bulk,formulas,Coupled,Ocean,Atmospheric,Response,Experiment,found,recalculated,sensible,SH,closer,direct,outputs,significant,differences,between,these,methods,could,account,among,different,situ,other,comparison,results,important,reference,accurate,studies,synoptic,climatic,scales

0.449192