Objectively Analyzed Air–Sea Heat Fluxes for the Global Ice-Free Oceans (1981–2005)

Yu, Lisan; Weller, Robert A.

doi:10.1175/bams-88-4-527

Cited by 1,017 publications

(898 citation statements)

References 52 publications

Supporting

Mentioning

839

Contrasting

Unclassified

Order By: Relevance

“…Surface winds and currents, obtained from NCEP/NCAR reanalysis [Kalnay et al, 1996] and from monthly currents from Ocean surface current analyses -real time (OSCAR), which represent the average current from the surface to the 15 m depth, computed from satellite surface topography and vector winds [Bonjean and Lagerloef, 2002], respectively, are used to examine the associated circulation anomalies. Also used are precipitation from the Tropical Rainfall Measuring Mission (TRMM) 3B43-V6 product [Huffman et al, 2007], and evaporation from the Objective Analysis Flux (OAFlux) [Yu and Weller, 2007]. Monthly anomalies are computed by subtracting the corresponding monthly climatology.…”

Section: Methodsmentioning

confidence: 99%

Argo profiles variability of barrier layer in the tropical Indian Ocean and its relationship with the Indian Ocean Dipole

Qiu¹,

Cai²,

Li³

et al. 2012

Geophysical Research Letters

View full text Add to dashboard Cite

[1] Interannual variability of the barrier layer (BL) in the southeastern tropical Indian Ocean (SETIO) is examined using temperature and salinity profiles derived from Argo floats since 2004. We show that a quasi-permanent BL exists off Sumatra with a semi-annual cycle and a maximum in November. Further, interannual variability of the BL is closely related to the Indian Ocean Dipole (IOD) with the IOD leading the BL by one month. During the 2006 positive IOD (pIOD) season, equatorial easterly-induced upwelling Kelvin waves raise the isothermal layer (IL) off Sumatra; a salinity-stratified mixed layer (ML) shoals due to a reduced eastward salty water transport by a weaker Wyrtki Jet, despite an offset by a reduced freshwater flux. Consequently, thinning of the BL is dominated by thinning of the IL. During the 2010 negative IOD (nIOD), similar processes operate but in an opposite direction. As thinning of the BL during a pIOD enhances the thermocline-ML coupling, our results reveal that an IOD-induced co-varying BL in turn enhances the IOD positive feedbacks. Citation: Qiu, Y., W. Cai, L. Li, and X. Guo (2012), Argo profiles variability of barrier layer in the tropical Indian Ocean and its relationship with the Indian Ocean Dipole, Geophys. Res. Lett., 39, L08605,

show abstract

Section: Methodsmentioning

confidence: 99%

Argo profiles variability of barrier layer in the tropical Indian Ocean and its relationship with the Indian Ocean Dipole

Qiu¹,

Cai²,

Li³

et al. 2012

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…[6] In this study we also used evaporation data from the Woods Hole Oceanographic Institution (WHOI) data set [Yu and Weller, 2007]. In contrast to other flux products constructed from one single data source, this data set is determined by objectively blending the data sources from satellite and numerical weather prediction model outputs while using in situ observations to assign the weights [Yu et al, 2004;Yu and Weller, 2007].…”

Section: Methodsmentioning

confidence: 99%

“…In contrast to other flux products constructed from one single data source, this data set is determined by objectively blending the data sources from satellite and numerical weather prediction model outputs while using in situ observations to assign the weights [Yu et al, 2004;Yu and Weller, 2007]. The WHOI data set provides evaporation data (1°× 1°latitude-longitude grid) over the global oceans for .…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Summertime precipitation variability over Europe and its links to atmospheric dynamics and evaporation

Zveryaev

Allan

2010

J. Geophys. Res.

View full text Add to dashboard Cite

[1] Gridded monthly precipitation data for 1979-2006 from the Global Precipitation Climatology Project are used to investigate interannual summer precipitation variability over Europe and its links to regional atmospheric circulation and evaporation. The first empirical orthogonal function (EOF) mode of European precipitation, explaining 17.2%-22.8% of its total variance, is stable during the summer season and is associated with the North Atlantic Oscillation. The spatial-temporal structure of the second EOF mode is less stable and shows month-to-month variations during the summer season. This mode is linked to the Scandinavian teleconnection pattern. Analysis of links between leading EOF modes of regional precipitation and evaporation has revealed a significant link between precipitation and evaporation from the European land surface, thus, indicating an important role of the local processes in summertime precipitation variability over Europe. Weaker, but statistically significant links have been found for evaporation from the surface of the Mediterranean and Baltic Seas. Finally, in contrast to winter, no significant links have been revealed between European precipitation and evaporation in the North Atlantic during the summer season.Citation: Zveryaev, I. I., and R. P. Allan (2010), Summertime precipitation variability over Europe and its links to atmospheric dynamics and evaporation,

show abstract

“…In situ products are limited by spatial and temporal sampling issues associated with irregular ship and buoy observations and by inherent observational biases (Gulev et al, 2007a(Gulev et al, , 2007bRisien and Chelton, 2008;Thomas et al, 2008). Hybrid products (Chou et al, 2003;Yu and Weller, 2007) try to combine the strengths of several in situ or satellite data sets and NWP analyses.…”

Section: Introductionmentioning

confidence: 99%

A comparison of nine monthly air–sea flux products

Smith

Hughes

Bourassa

2010

Intl Journal of Climatology

View full text Add to dashboard Cite

A comparison is conducted between nine monthly turbulent air-sea flux products. The analysis includes in situ-based (Florida State University fluxes, FSU3 and National Oceanography Centre, NOC), satellite-based (Hamburg Ocean-Atmosphere Parameters from Satellite data, HOAPS2 and the French Research Institute for Exploitation of the Sea, IFREMER), hybrid (Goddard Satellite-based Surface Turbulent Fluxes, GSSTF2 and objectively analysed fluxes, OAFLUX), and reanalysis (National Centers for Environmental Prediction, NCEPR2, Japanese 25-year reanalysis, JRA, and European Centre for Medium Range Weather Forecasts reanalysis, ERA-40) products. Objectives include documenting the varying analysis methodologies and quantifying the differences and similarities between the nine products. Recommendations are made for developers of future flux products and to guide users to select products most suitable for their application.The comparison examines turbulent fluxes of heat and momentum along with the forcing variables (air temperature, wind speed, humidity, and ocean skin temperature) that are necessary to estimate turbulent fluxes. The wide range of turbulent flux parameterisations, sampling patterns, and averaging techniques within the products are described, including some of the difficulties product differences pose when trying to compare or apply the individual products. Global comparisons of monthly means tend to reveal similar spatial patterns in latent heat flux (LHF) and sensible heat flux (SHF) for the nine products; however, the magnitudes and patterns of variability (expressed as maps of standard deviations) are widely different. Basin scale and regional analysis further reveals large differences in the products (in some cases the interquartile ranges (IQRs) do not overlap for different products), but also reveals potential sources of the differences. For example, some of the variations in LHF can be explained by large differences in the distribution of specific humidity between the products. As a final analysis, we examine how each product represents the variations in turbulent fluxes in the equatorial Pacific (EP) Ocean. This analysis provides an example of how the choice of a flux product, and understanding the strengths and weaknesses of that product, can alter research findings.

show abstract

Objectively Analyzed Air–Sea Heat Fluxes for the Global Ice-Free Oceans (1981–2005)

Cited by 1,017 publications

References 52 publications

Argo profiles variability of barrier layer in the tropical Indian Ocean and its relationship with the Indian Ocean Dipole

Argo profiles variability of barrier layer in the tropical Indian Ocean and its relationship with the Indian Ocean Dipole

Summertime precipitation variability over Europe and its links to atmospheric dynamics and evaporation

A comparison of nine monthly air–sea flux products

Contact Info

Product

Resources

About