Construction of long-term data set of sea surface wind speed/stress vectors by continuous satellite observations

• Main Authors: Kameda, Suguru, Kutsuwada, Kunio
• Format: Text
• Language: unknown
• Published: Taylor & Francis 2016
• Subjects: 29999 Physical Sciences not elsewhere classified; FOS Physical sciences; 59999 Environmental Sciences not elsewhere classified; FOS Earth and related environmental sciences; Ecology; FOS Biological sciences; 69999 Biological Sciences not elsewhere classified; Inorganic Chemistry; FOS Chemical sciences; 111714 Mental Health; FOS Health sciences; Curl; Pacific; Subarctic
• Online Access: https://dx.doi.org/10.6084/m9.figshare.2068533.v1; https://figshare.com/articles/Construction_of_long_term_data_set_of_sea_surface_wind_speed_stress_vectors_by_continuous_satellite_observations/2068533/1

Using scatterometer data from three sources (QSCAT/SeaWinds, MetOp-A/ASCAT, and ERS-1,2), we construct a gridded data set of wind/wind-stress vectors with continuous time series for investigation of long-term variation in ocean surface wind. The present study investigates differences in wind fields...