Ocean Heat Fluxes from Remotely Sensed Observations
Daily air-sea heat fluxes dataset on the last 27 years (1992-2018).
Global coverage with 0.25° resolution. Data is mainly coming from aggregated calibrated scatterometer datasets and numerical models. Main geophysical parameters are: sensible heat flux, latent heat flux, wind speed, SST, air temperature.
Latest version : 4.1 released in June 2019.
Data access Chemin d'accès |
/home/ref-heat-fluxes
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Date(s) Date(s) |
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Author(s) Auteur(s) |
Bentamy Abderrahim
(
IFREMER
)
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Contact(s) Contact(s) |
Grouazel Antoine
(
IFREMER
)
Piolle Jean-Francois ( IFREMER ) IFREMER |
Source Source |
Ifremer - Laboratoire d’Océanographie Physique et Spatial (LOPS) |
Lineage Généalogie |
This new version of Ifremer daily heat fluxes uses the updated empirical model relating 10m specific air humidity (Qa10) and radiometer brightness temperature (TB) measurements. The determination of the empirical Qa10 model is described in (Bentamy et al, 2013). For this project, a new calibration of Qa10 model is performed in conjunction with the use of the recently re-processed fundamental climate data record (FCDR) of brightness temperatures from the Colorado State University (CSU_FCDR) (Wesley et al, 2013), and the latest reprocessed International Comprehensive Ocean–Atmosphere Data Set (ICOADS Version 3; Freeman et al. 2017). The latter is a compilation of in situ surface marine observations (ship, moored and drift buoys). ICOADS Qa10 and FCDR_CSU TB are collocated in space and time. The resulting collocated data allow the determination and improvement of the satellite Qa10 model. Figure 1 shows examples of monthly mean difference between Qa10 from OHF standard product (Bentamy et al 2017a) and from the updated estimates. The former are calculated from daily estimates occurring in January (Figure 1a) and July (Figure 1b) 2003. The main departure between the two estimates are clearly depicted in Gulf Stream, Kurishio, and Aghulas regions, where the OHF standard data are overestimated compared to the new data. Such overestimation leads to the underestimation of OHF standard LHF (Bentamy et al, 2017a). |
Constraints Contraintes |
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Spatial informations Informations géographiques |
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Citation proposal Proposition de citation
Bentamy Abderrahim (2019).Ocean Heat Fluxes from Remotely Sensed Observations.IFREMER
http://dx.doi.org/10.12770/a290bb8a-f9e9-4011-b081-cebacec746bf