Estimation of satellite-based ocean latent hear flux at 4 km spatial resolution
Abstract
Knowledge of ocean latent heat flux (LHF) is important to understand the ocean heat and freshwater at the interface of the atmosphere and ocean. Various LHF products have been widely used, yet accuracy estimation of LHF at super high horizontal resolution remains a major challenge. In this study, the bulk algorithm (the version 3 of the Coupled Ocean-Atmosphere Response Experiment, COARE 3.0) was introduced to estimate ocean LHF estimation over 5 years together with satellite-based data (Advanced Microwave Scanning Radiometer-EOS (AMSR-E) wind speed data and Moderate-resolution Imaging Spectroradiometer (MODIS) sea surface temperature data). For observations collected from 96 buoy sites, we evaluated the performance of our estimated ocean LHF and other LHF products, including 4 reanalysis (e.g. MERRA), 2 satellite-based products (e.g. GSSTF-3) and a combined product like OAFlux. And the validation results demonstrate that our estimated LHF outperforms other ocean LHF products, indicating by smallest root mean square errors (RMSEs) and bias, highest R2 of 0.80 and the King-Gupta efficiency (KGE) exceed 0.84. To evaluate the performance of our estimated LHF at a larger scale, we applied all LHF products (include 7 LHF products and our estimated LHF) to map annual ocean LHF average over 2003-2007 for horizontal resolution of 4 km. Compared to the LHF products with coarser horizontal resolution, the results shows that our estimated LHF provides an improved estimation for characterizing ocean energy and water cycles.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2019
- Bibcode:
- 2019AGUFM.A11M2791C
- Keywords:
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- 3307 Boundary layer processes;
- ATMOSPHERIC PROCESSES;
- 3322 Land/atmosphere interactions;
- ATMOSPHERIC PROCESSES;
- 3379 Turbulence;
- ATMOSPHERIC PROCESSES;
- 0426 Biosphere/atmosphere interactions;
- BIOGEOSCIENCES