Search from over 60,000 research works

Advanced Search

Intraseasonal variability of air-sea fluxes over the Bay of Bengal during the southwest monsoon

[thumbnail of Open Access]
Preview
jcli-d-17-0652.1.pdf - Published Version (3MB) | Preview
Available under license: Creative Commons Attribution
[thumbnail of manuscript_final.pdf]
Preview
manuscript_final.pdf - Accepted Version (2MB) | Preview
[thumbnail of supplementary_materials_final.pdf]
Preview
supplementary_materials_final.pdf - Supplemental Material (568kB) | Preview
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Sanchez-Franks, A., Kent, E. C., Matthews, A. J., Webber, B. G. M., Peatman, S. C. and Vinayachandran, P. N. (2018) Intraseasonal variability of air-sea fluxes over the Bay of Bengal during the southwest monsoon. Journal of Climate, 31 (17). pp. 7087-7109. ISSN 1520-0442 doi: 10.1175/JCLI-D-17-0652.1

Abstract/Summary

In the Bay of Bengal (BoB), surface heat fluxes play a key role in monsoon dynamics and prediction. The accurate representation of large-scale surface fluxes is dependent on the quality of gridded reanalysis products. Meteorological and surface flux variables from five reanalysis products are compared and evaluated against in situ data from the RAMA moored array in the BoB. The reanalysis products: ERA-Interim (ERA-I), TropFlux, MERRA-2, JRA-55 and CFSR are assessed for their characterisation of air-sea fluxes during the southwest monsoon season (JJAS). ERA-I captured radiative fluxes best while TropFlux captured turbulent and net heat fluxes (Qnet) best, and both products outperformed JRA-55, MERRA-2 and CFSR, showing highest correlations and smallest biases when compared to the in situ data. In all five products, the largest errors were in shortwave radiation (QSW) and latent heat flux (QLH), with non-negligible biases up to ∼75 W m−2. The QSW and QLH are the largest drivers of the observed Qnet variability, thus highlighting the importance of the results from the buoy comparison. There are also spatially coherent differences in the mean basin-wide fields of surface flux variables from the reanalysis products, indicating that the biases at the buoy position are not localized. Biases of this magnitude have severe implications on reanalysis products ability to capture the variability of monsoon processes. Hence, the representation of intraseasonal variability was investigated through the boreal summer intraseasonal oscillation and we found that TropFlux and ERA-I perform best at capturing intraseasonal climate variability during the southwest monsoon season.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/77492
Item Type Article
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher American Meteorological Society
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar