This study aims to estimate latent heat flux (LHF) over the central Red Sea during the summer months (July and August) of 2000–2020, corresponding with the occurrence of the Tokar Gap (TG) wind jets. Sea surface temperature (SST) was derived from the SeaDAS-based multi-sensor ESA CCI/C3S satellite product (AVHRR-SST), and wind data were obtained from the scatterometer product. Both datasets were re-gridded to a uniform spatial resolution of 0.05°. The AVHRR-SST and scatterometer wind speed were compared with the corresponding ERA5 reanalysis fields. Because both the satellite-derived estimates and ERA5 are model-based products rather than independent in situ observations, this comparison constitutes an intercomparison between two approaches rather than a validation. The AVHRR-SST and scatterometer wind speed showed good agreement with ERA5 fields (correlation coefficients CC = 0.66 and 0.93, respectively). The spatial distribution of the estimated LHF reproduced the ERA5 LHF patterns but with relatively lower magnitudes. Time series analysis near the TG region showed that the estimated LHF underestimated ERA5 values, with a correlation coefficient of 0.77 and a root mean square error (RMSE) of 25.8 W/m2. The results represent an intercomparison between two model- and satellite-based approaches and are limited by the absence of independent in situ buoy observations for direct validation.
Reliable prediction of the Indian Summer Monsoon (ISM) requires accurate representation of large-scale circulation features such as the Low-Level Jet (LLJ) and Tropical Easterly Jet (TEJ), yet sparse observational coverage over the Indian Ocean region continues to limit model validation and improvement. This study vali...
BV Balasundhar, Hemanth Kumar Alladi, M. Ratnam et al.· Remote Sensing· 0 citations
This study evaluates the performance of sea surface temperature (SST) reanalysis data against in situ observations at eight representative hydrographic stations in Vietnamese coastal and offshore waters during 2003–2022. Monthly mean SST values were compared using statistical indicators, including the Pearson correlati...
H. Tran, Duc Quyen Le· Tạp chí Khoa học Biến đổi kh...· 0 citations
Fengyun-3E (FY-3E) is an operational meteorological satellite in an early-morning orbit. The Medium Resolution Spectral Imager-Low Light (MERSI-LL) onboard the FY-3E satellite provides observations in the 10.8 and 12.0 μm channels at a spatial resolution of 250 m, offering crucial data for high-resolution sea surface t...
Shuting Lu, Lei Guan· Intelligent Marine Technolog...· 0 citations
We previously produced the local ensemble transform Kalman filter (LETKF)-based Ocean Research Analysis (LORA) version 1.0 datasets for the western North Pacific and Maritime Continent regions (LORA-WNP and LORA-MC, respectively) during the period from August 2015 to January 2024. However, these limited domains and per...
Shun Ohishi, T. Miyoshi, M. Kachi· Ocean Science (OS)· 0 citations
High-resolution atmospheric thermodynamic information is essential for resolving localized weather processes in complex urbanized regions such as the Yangtze River Delta (YRD). However, existing global reanalysis products are limited by coarse spatial resolution, constraining their ability to represent fine-scale the...
Yan-An Liu, Zheng-Yan Zhang, Tian-Yue Zeng et al.· Advances in Atmospheric Scie...· 0 citations