2006
DOI: 10.1029/2006gl027086
|View full text |Cite
|
Sign up to set email alerts
|

Assessment of composite global sampling: Sea surface wind speed

Abstract: Research and forecasts of the weather‐ocean‐climate system demand increasingly higher resolution forcing data. Here we assess the improvement in composite global observations and the feasibility of producing high resolution blended sea winds. The number of the long‐term US sea surface wind speed observing satellites has increased from one in July 1987 to five or more since 2000. Global 0.25° gridded, blended products with temporal resolutions of 6‐hours, 12‐hours and daily have become feasible since mid 2002, … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
183
0
1

Year Published

2008
2008
2015
2015

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 259 publications
(184 citation statements)
references
References 14 publications
(14 reference statements)
0
183
0
1
Order By: Relevance
“…For the wind data we used the multiple-satellite blended Sea Winds product 39 , which has a space and time resolution of 0.25 • and 6 hours, respectively. SST and ice concentration were acquired from an optimum interpolated, blended analysis of satellite and in-situ data provided once per day at 0.25 • spatial resolution 40 .…”
Section: Methodsmentioning
confidence: 99%
“…For the wind data we used the multiple-satellite blended Sea Winds product 39 , which has a space and time resolution of 0.25 • and 6 hours, respectively. SST and ice concentration were acquired from an optimum interpolated, blended analysis of satellite and in-situ data provided once per day at 0.25 • spatial resolution 40 .…”
Section: Methodsmentioning
confidence: 99%
“…This study analyzed the following datasets: (1) daily global sea-surface pressure with a resolution of 1.125°lati-tude 9 1.125°longitude, from the reanalysis of the European Centre for Medium-Range Forecasts (ECMWF) (ERA-40, Uppala et al 2005); (2) daily global sea-surface winds with a high horizontal resolution of 0.25°lati-tude 9 0.25°longitude, from the National Oceanic and Atmospheric Administration (NOAA) (Zhang et al 2006) and National Climatic Data Center (NCDC) (Smith and Reynolds 2004), for which wind speeds are generated by blending observations from six satellites and for which wind directions from the National Center for Environment Prediction (NCEP) Reanalysis 2 (NRA-2) (Kanamitsu et al 2002) are interpolated into the blended speed grids; (3) daily optimum interpolation SST (OISST) analysis data (AVHRR ? AMSR-E products) from the NOAA Satellite and Information Service with the same resolution as sea surface winds and weekly OISST with horizontal resolution of 1°latitude 9 1°longitude; (4) daily SST, ocean latent heat flux, sensible heat flux, net radiation flux, longwave and shortwave radiation at the sea surface with a resolution of 1°latitude 9 1°longitude obtained from the Objectively Analyzed Air-Sea Fluxes (OAFlux) for the Global Oceans, sponsored by the Woods Hole Oceanographic Institution (WHOI) Cooperative Institute for Climate and Ocean Research (CICOR); and (5) pentad total downward heat flux at the surface, ocean current, salinity, mixed-layer depth,and potential temperature profiles (1/3°l atitude by 1°longitude, 40 levels) taken from the NCEP Global Ocean Data Assimilation System (GODAS) (Ji et al 1995) for accurate air-sea processes.…”
Section: Data Descriptionmentioning
confidence: 99%
“…[41] Various data sets were used in the sensitivity test, including mean geostrophic velocity data derived from the mean SSH of Maximenko and Niiler [2005] and GRACE [Tapley et al, 2003]; Ekman velocity-derived data from the surface wind stress fields of the National Center for Environmental Prediction/National Center for Atmospheric Research (NCEP/NCAR) reanalysis and that from a blended sea wind product from the National Climate Data Center [Zhang et al, 2006]; a mixed layer depth climatology from de Boyer Montegut et al [2004], World Ocean Atlas 1994 (WOA94), and the World Ocean Atlas 2001 (WOA01). No significant differences in the RMS imbalance were found using various geostrophic and Ekman velocity fields.…”
Section: Appendix A: Sensitivity Of the Salinity Budget To Choice Of mentioning
confidence: 99%