Rongwang Zhang

ORCID: 0000-0001-6870-474X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Oceanographic and Atmospheric Processes
  • Climate variability and models
  • Ocean Waves and Remote Sensing
  • Meteorological Phenomena and Simulations
  • Marine and coastal ecosystems
  • Tropical and Extratropical Cyclones Research
  • Fluid Dynamics and Turbulent Flows
  • Power Line Inspection Robots
  • Oil Spill Detection and Mitigation
  • Mechanical stress and fatigue analysis
  • Arctic and Antarctic ice dynamics
  • Marine and fisheries research
  • Marine Bivalve and Aquaculture Studies
  • Vibration and Dynamic Analysis
  • Hydrological Forecasting Using AI
  • Underwater Vehicles and Communication Systems
  • Underwater Acoustics Research
  • Atmospheric and Environmental Gas Dynamics
  • Wind and Air Flow Studies

South China Sea Institute Of Oceanology
2018-2024

Institute of Oceanology
2018-2024

Chinese Academy of Sciences
2018-2023

Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
2020-2022

China Electric Power Research Institute
2020

North China Electric Power University
2020

Qingdao National Laboratory for Marine Science and Technology
2017-2018

Ocean University of China
2016-2017

The cool skin effect, known as the temperature difference (ΔT) across layer of sea surface, is vital importance for accurate computation latent heat flux (LHF). observed features ΔT in South China Sea are analyzed using in situ data from a buoy platform over an approximately six-week period. Only nighttime used to exclude possible warm effect. positive values ΔT falling into range 0 1 K comprise 95% data, and most frequently...

10.5194/egusphere-egu24-3766 preprint EN 2024-03-08

Abstract Reproducing the Madden‐Julian Oscillation (MJO) remains a challenge in many climate models. This study compares MJO simulation skills 17 pairs of Coupled Model Intercomparison Project Phase 5 (CMIP5) and 6 (CMIP6) simulations. Generally, characteristics are better reproduced CMIP6, their inter‐model spreads obviously reduced CMIP6. However, most CMIP6 models still underestimate frequency initiation over Indian Ocean amplitude, exaggerate barrier effect Maritime Continent (MC) on...

10.1029/2021gl095241 article EN Geophysical Research Letters 2021-12-17

Abstract The cool skin effect, known as the temperature difference (Δ T ) across layer of sea surface, is vital importance for accurate computation latent heat flux (LHF). observed features Δ in South China Sea are analyzed using situ data from a buoy platform over an ∼6‐week period. Only nighttime used to exclude possible warm effect. positive values falling into range 0–1 K comprise 95% data, and most frequently occur 0.4–0.6 (38%). model Coupled Ocean‐Atmosphere Response Experiment 3.0...

10.1029/2020jc016498 article EN Journal of Geophysical Research Oceans 2020-12-04

Abstract Five latent heat flux (LHF) products are evaluated based on in situ observations the South China Sea (SCS), including ECWMF ERA‐Interim (ERA‐I), NCEP2, Objectively Analyzed air‐sea Fluxes (OAFlux), Japanese 55 year Reanalysis (JRA55), and TropFlux data sets. The results show that there good correlations between LHF observations, ranging from 0.68 to 0.74. However, mean biases of −8 40 W m −2 exist with respect observations. For root‐mean‐square errors, OAFlux set is closest followed...

10.1002/2016jc012332 article EN Journal of Geophysical Research Oceans 2017-04-24

Abstract Simulations of the global oceanic latent heat flux (LHF) in CMIP5 multimodel ensemble (MME) were evaluated comparison with 11 LHF products. The results show that mean state MME coincides well observations, except for a slight overestimation tropical regions. reproduction seasonal cycle is good agreement observations. However, biases are relatively obvious coastal A prominent upward trend global-mean confirmed all products during period 1979–2005. Despite consistent increase models,...

10.1175/jcli-d-17-0713.1 article EN Journal of Climate 2018-06-07

The China-France Oceanography SATellite (CFOSAT), launched on 29 October 2018, is a joint mission developed by China and France. To evaluate the CFOSAT wind product, L2B swath data with spatial resolution of 25 × km were compared in situ measurements between December 2018 2020. collected from 217 buoys. All buoy winds adjusted to 10 m height using simple logarithmic correction method. temporal separations restricted less than 30 min 0.25°. results indicate that retrievals agree well...

10.3390/rs13101926 article EN cc-by Remote Sensing 2021-05-14

Abstract. The Yongxing air–sea flux tower (YXASFT), which was specially designed for boundary layer observations, constructed on Island in the South China Sea (SCS). Surface bulk variable measurements were collected during a 1-year period from 1 February 2016 to 31 January 2017. sensible heat (SHF) and latent (LHF) further derived via Coupled Ocean–Atmosphere Response Experiment version 3.0 (COARE3.0). This study employed YXASFT situ observations evaluate Woods Hole Oceanographic Institute...

10.5194/amt-11-6091-2018 article EN cc-by Atmospheric measurement techniques 2018-11-09

Abstract The tropical latent heat flux (LHF) has experienced a significant increase under the background of global warming in past four decades. However, since years around 1998, long-term LHF variations tropics have been found to be quite different various products. Three trends LHF, climbing, near zero, and declining, are suggested by five widely used products, which hinders our knowledge actual variations. Although there buoy observations tropics, these hard use evaluate products as they...

10.1175/jcli-d-22-0381.1 article EN Journal of Climate 2023-02-03

Abstract Previous studies have demonstrated that North Tropical Atlantic (NTA) warming can be modulated by El Niño events through atmospheric teleconnections. Considering the diversity of events, this study focuses on different responses NTA sea surface temperature (SST) to eastern Pacific (EP), central type I and II (CP‐I CP‐II) in their decaying springs. In EP CP‐II pattern is well established, while SST fails warm CP‐I events. anomalous cyclones excited subtropical Atlantic. Consequently,...

10.1029/2021jc017514 article EN Journal of Geophysical Research Oceans 2021-09-28

Near-surface humidity (Qa) is a key parameter that modulates oceanic evaporation and influences the global water cycle. Remote sensing observations act as feasible sources for long-term large-scale Qa monitoring. However, existing satellite retrieval models are subject to apparent uncertainties due model errors insufficient training data. Based on in situ collected over China Seas last two decades, deep learning approach named Ensemble Mean of Target neural networks (EMTnet) proposed improve...

10.3390/rs14174353 article EN cc-by Remote Sensing 2022-09-02

<title>Abstract</title> The tropical Indian Ocean has experienced pronounced warming trends in recent decades, with dynamical processes recognized as key drivers. However, the role of thermodynamic remains uncertain due to discrepancies surface wind-induced heat flux across existing datasets. Here, we utilize a machine learning algorithm integrate in-situ observations and satellite data, yielding reliable wind dataset corresponding air-sea spanning from 1950–2019 horizontal resolution 1°×1°....

10.21203/rs.3.rs-4898199/v1 preprint EN Research Square (Research Square) 2024-09-09

This paper presents the design and implementation of a low-cost directional inertial wave sensor, DWS19-2, which is suitable for installation on ocean air-sea coupling buoys, offshore environmental monitoring buoys surface drifting buoys. DWS19-2 integrates an STM32F446 embedded controller with 9-axis MEMS module QZ901 to measure buoy pitch, roll, heading accelerations. These parameters are further used calculate estimate non-directional spectra. spectral information then reported data...

10.3389/fmars.2022.991996 article EN cc-by Frontiers in Marine Science 2022-11-21

Near-surface humidity (Qa) is a key parameter that modulates oceanic evaporation and influences the global water cycle. Remote sensing observations act as feasible sources for long-term large-scale Qa monitoring. However, existing satellite retrieval models are subject to apparent uncertainties due model errors insufficient training data. Based on in situ collected over China Seas last two decades, deep learning approach named Ensemble Mean of Target neural networks (EMTnet) was proposed...

10.20944/preprints202207.0077.v1 preprint EN 2022-07-05

Abstract. The high-quality Yongxing air-sea flux tower (YXASFT), which was specially designed for boundary layer flux-related observations, constructed on Island in the South China Sea (SCS). Surface bulk variable measurements were collected during a one-year period from 2016/02/01 to 2017/01/31. sensible heat (SHF) and latent (LHF) further derived via Coupled Ocean-Atmosphere Response Experiment version 3.0 (COARE3.0) using those variables. This study employed YXASFT situ observations...

10.5194/amt-2017-456 article EN cc-by 2018-02-01

Abstract With the increasing number of UHV transmission lines crossing projects, suspension type spans are widely used in cross-construction. Among them, under condition construction accidents, dynamic impact bearing cables and towers on wires has received extensive attention. Based this problem, paper studies loads accident conditions, proposes reinforcement measures for towers.

10.1088/1757-899x/735/1/012047 article EN IOP Conference Series Materials Science and Engineering 2020-01-01

This study investigates the distribution of North Atlantic Storm Track (NAST) in upper and lower troposphere, associated eddy kinetic energy (EKE) each layer. EKE is then isolated The results shows that there a great difference NAST between troposphere. In stays bit further southwest; shifts poleward. By examining term equation, it found barotropic conversion opposite two layers, which could be responsible for their storm track patterns. That to say, mainly damps layer whereas strengthens...

10.3878/j.issn.1006-9585.2016.16098 article EN 气候与环境研究 2017-11-20
Coming Soon ...