Articles | Volume 11, issue 11
https://doi.org/10.5194/amt-11-6091-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-6091-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Evaluation of OAFlux datasets based on in situ air–sea flux tower observations over Yongxing Island in 2016
Fenghua Zhou
State Key Laboratory of Tropical Oceanography, South China Sea
Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510300,
China
University of Chinese Academy of Sciences, Beijing 100049, China
Rongwang Zhang
State Key Laboratory of Tropical Oceanography, South China Sea
Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510300,
China
State Key Laboratory of Tropical Oceanography, South China Sea
Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510300,
China
Ju Chen
State Key Laboratory of Tropical Oceanography, South China Sea
Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510300,
China
Yunkai He
State Key Laboratory of Tropical Oceanography, South China Sea
Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510300,
China
Dongxiao Wang
CORRESPONDING AUTHOR
State Key Laboratory of Tropical Oceanography, South China Sea
Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510300,
China
Qiang Xie
CORRESPONDING AUTHOR
Institute of Deep-sea Science and Engineering, Chinese Academy of
Sciences, Sanya 572000, China
Laboratory for Regional Oceanography and Numerical Modeling, Qingdao
National Laboratory for Marine Science and Technology, Qingdao 266237,
China
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Cited
13 citations as recorded by crossref.
- Influence of Tokar Gap wind jet on latent heat flux of Central Red Sea: empirical orthogonal function approach J. Turki et al. 10.1590/2675-2824071.220103jat
- CYGNSS Surface Heat Flux Product Development J. Crespo et al. 10.3390/rs11192294
- Thermodynamic Response of a High-Resolution Tropical Indian Ocean Model to TOGA COARE Bulk Air–Sea Flux Parameterization: Case Study for the Bay of Bengal (BoB) S. Mallick et al. 10.1007/s00024-020-02448-6
- Deep Learning to Near-Surface Humidity Retrieval from Multi-Sensor Remote Sensing Data over the China Seas R. Zhang et al. 10.3390/rs14174353
- Cool Skin Effect and its Impact on the Computation of the Latent Heat Flux in the South China Sea R. Zhang et al. 10.1029/2020JC016498
- Evaluation of meteorological reanalysis data over the tropical Western Indian Ocean based on buoy observations in 2022 Y. Luo et al. 10.1016/j.seares.2022.102285
- Characteristics of Satellite-Based Ocean Turbulent Heat Flux around the Korean Peninsula and Relationship with Changes in Typhoon Intensity J. Kim & Y. Lee 10.3390/rs13010042
- Air–Sea Interface Parameters and Heat Flux from Neural Network and Advanced Microwave Scanning Radiometer Observations B. Zhang et al. 10.3390/rs14102364
- Sigmoid Generalized Complementary Equation for Evaporation Over Wet Surfaces: A Nonlinear Modification of the Priestley‐Taylor Equation S. Han et al. 10.1029/2020WR028737
- Comparison of Evaporation Duct Height Statistics Based on Surface Bulk Measurements Over Yongxing Island X. Zhao et al. 10.1109/LAWP.2023.3241159
- Ocean and Atmospheric Observations at the Remote Ieodo Ocean Research Station in the Northern East China Sea D. Byun et al. 10.3389/fmars.2021.618500
- Assessment of Atmospheric Reanalysis Data Based on Buoy Observations over the Tropical Western Indian Ocean in 2019 Y. Luo et al. 10.1007/s11802-023-5410-2
- Comparisons of the temperature and humidity profiles of reanalysis products with shipboard GPS sounding measurements obtained during the 2018 Eastern Indian Ocean Open Cruise L. WANG et al. 10.1080/16742834.2019.1588065
12 citations as recorded by crossref.
- Influence of Tokar Gap wind jet on latent heat flux of Central Red Sea: empirical orthogonal function approach J. Turki et al. 10.1590/2675-2824071.220103jat
- CYGNSS Surface Heat Flux Product Development J. Crespo et al. 10.3390/rs11192294
- Thermodynamic Response of a High-Resolution Tropical Indian Ocean Model to TOGA COARE Bulk Air–Sea Flux Parameterization: Case Study for the Bay of Bengal (BoB) S. Mallick et al. 10.1007/s00024-020-02448-6
- Deep Learning to Near-Surface Humidity Retrieval from Multi-Sensor Remote Sensing Data over the China Seas R. Zhang et al. 10.3390/rs14174353
- Cool Skin Effect and its Impact on the Computation of the Latent Heat Flux in the South China Sea R. Zhang et al. 10.1029/2020JC016498
- Evaluation of meteorological reanalysis data over the tropical Western Indian Ocean based on buoy observations in 2022 Y. Luo et al. 10.1016/j.seares.2022.102285
- Characteristics of Satellite-Based Ocean Turbulent Heat Flux around the Korean Peninsula and Relationship with Changes in Typhoon Intensity J. Kim & Y. Lee 10.3390/rs13010042
- Air–Sea Interface Parameters and Heat Flux from Neural Network and Advanced Microwave Scanning Radiometer Observations B. Zhang et al. 10.3390/rs14102364
- Sigmoid Generalized Complementary Equation for Evaporation Over Wet Surfaces: A Nonlinear Modification of the Priestley‐Taylor Equation S. Han et al. 10.1029/2020WR028737
- Comparison of Evaporation Duct Height Statistics Based on Surface Bulk Measurements Over Yongxing Island X. Zhao et al. 10.1109/LAWP.2023.3241159
- Ocean and Atmospheric Observations at the Remote Ieodo Ocean Research Station in the Northern East China Sea D. Byun et al. 10.3389/fmars.2021.618500
- Assessment of Atmospheric Reanalysis Data Based on Buoy Observations over the Tropical Western Indian Ocean in 2019 Y. Luo et al. 10.1007/s11802-023-5410-2
Latest update: 01 Nov 2024
Short summary
In this work, successive air–sea heat flux-related data were acquired over the course of a year (01/02/2016–31/01/2017) at the YXASFT on Yongxing Island. Then, seasonal comparisons were conducted for the daily mean surface bulk variables and heat fluxes between the WHOI OAFlux products and YXASFT observations. The conclusions in this paper will provide useful reference for researchers on how to select the appropriate OAFlux datasets in different seasons over the South China Sea.
In this work, successive air–sea heat flux-related data were acquired over the course of a year...