Accessibility navigation

Combining satellite observations and reanalysis energy transports to estimate global net surface energy fluxes 1985-2012

Liu, C., Allan, R. P. ORCID:, Berrisford, P., Mayer, M., Hyder, P., Loeb, N., Smith, D., Vidale, P.-L. ORCID: and Edwards, J. M. (2015) Combining satellite observations and reanalysis energy transports to estimate global net surface energy fluxes 1985-2012. Journal of Geophysical Research: Atmospheres, 120 (18). pp. 9374-9389. ISSN 2169-8996

Other (Open Access) - Accepted Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.


It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1002/2015JD023264


Two methods are developed to estimate net surface energy fluxes based upon satellite-based reconstructions of radiative fluxes at the top of atmosphere and the atmospheric energy tendencies and transports from the ERA-Interim reanalysis. Method 1 applies the mass adjusted energy divergence from ERA-Interim while method 2 estimates energy divergence based upon the net energy difference at the top of atmosphere and the surface from ERA-Interim. To optimise the surface flux and its variability over ocean, the divergences over land are constrained to match the monthly area mean surface net energy flux variability derived from a simple relationship between the surface net energy flux and the surface temperature change. The energy divergences over the oceans are then adjusted to remove an unphysical residual global mean atmospheric energy divergence. The estimated net surface energy fluxes are compared with other data sets from reanalysis and atmospheric model simulations. The spatial correlation coefficients of multi-annual means between the estimations made here and other data sets are all around 0.9. There are good agreements in area mean anomaly variability over the global ocean, but discrepancies in the trend over the eastern Pacific are apparent.

Item Type:Article
Divisions:Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:41687
Publisher:American Geophysical Union


Downloads per month over past year

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

Page navigation