Impact of Usage of Multiple-Satellite Sensors on Accuracy of Sea Surface Wind Data

2018 ◽  
Author(s):  
Ayumi Koizumi ◽  
Masahisa Kubota ◽  
Kunio Kutsuwada
Keyword(s):  
Surface Wind ◽  
Sea Surface ◽  
Wind Data ◽  
Sea Surface Wind ◽  
Satellite Sensors

Impact of using multiple-satellite sensors on the accuracy of daily-mean sea surface wind data

2019 ◽  
Vol 41 (15) ◽  
pp. 5770-5784 ◽  
Author(s):  
Ayumi Koizumi ◽  
Masahisa Kubota ◽  
Kunio Kutsuwada ◽  
Tsutomu Hihara ◽  
Hiroyuki Tomita
Keyword(s):  
Surface Wind ◽  
Sea Surface ◽  
Wind Data ◽  
Sea Surface Wind ◽  
Mean Sea Surface ◽  
Satellite Sensors

Big Data Management of Sea Surface Wind Data

2018 ◽  
Author(s):  
Felix R. Rodriguez ◽  
Daniel Teomiro Villa ◽  
Jaime Pina Cambero ◽  
Diego J. Merino Fernandez
Keyword(s):  
Big Data ◽  
Data Management ◽  
Surface Wind ◽  
Sea Surface ◽  
Wind Data ◽  
Sea Surface Wind

Assimilation of HY-2A scatterometer sea surface wind data in a 3DVAR data assimilation system—A case study of Typhoon Bolaven

2014 ◽  
Vol 9 (2) ◽  
pp. 192-201 ◽  
Author(s):  
Yi Yu ◽  
Weimin Zhang ◽  
Zhongyuan Wu ◽  
Xiaofeng Yang ◽  
Xiaoqun Cao ◽  
...  
Keyword(s):  
Data Assimilation ◽  
Surface Wind ◽  
Sea Surface ◽  
Wind Data ◽  
Sea Surface Wind ◽  
System A ◽  
Data Assimilation System ◽  
Assimilation System

scholarly journals Comparison of Sea-surface Wind Data Observed by QSCAT/SeaWinds and Research Vessels

2003 ◽  
Vol 12 (6) ◽  
pp. 551-563 ◽  
Author(s):  
Masahisa KUBOTA ◽  
Daisuke MINAMI ◽  
Takashi Ooki ◽  
Sou Suzuki
Keyword(s):  
Surface Wind ◽  
Sea Surface ◽  
Wind Data ◽  
Sea Surface Wind

Validation of MetOp-B and Jason-2 Sea Surface Wind Data around the Korean Peninsula

2020 ◽  
Vol 7 (4) ◽  
pp. 233-241
Author(s):  
Donghwi Son ◽  
Kicheon Jun ◽  
Jae-Seol Shim ◽  
Jae-il Kown ◽  
Jeseon Yoo
Keyword(s):  
Korean Peninsula ◽  
Surface Wind ◽  
Sea Surface ◽  
Wind Data ◽  
Sea Surface Wind

scholarly journals On the Use of Doppler Shift for Sea Surface Wind Retrieval From SAR

2012 ◽  
Vol 50 (7) ◽  
pp. 2901-2909 ◽  
Author(s):  
Alexis A. Mouche ◽  
Fabrice Collard ◽  
Bertrand Chapron ◽  
Knut-Frode Dagestad ◽  
Gilles Guitton ◽  
...  
Keyword(s):  
Doppler Shift ◽  
Surface Wind ◽  
Sea Surface ◽  
Wind Retrieval ◽  
Sea Surface Wind ◽  
Sea Surface Wind Retrieval

scholarly journals SST Anomalies in the Mozambique Channel Using Remote Sensing and Numerical Modeling Data

2019 ◽  
Vol 11 (9) ◽  
pp. 1112
Author(s):  
Guoqing Han ◽  
Changming Dong ◽  
Junde Li ◽  
Jingsong Yang ◽  
Qingyue Wang ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Mixed Layer Depth ◽  
Surface Wind ◽  
Radiant Heat ◽  
Heat Fluxes ◽  
Sea Surface ◽  
Surface Mixed Layer ◽  
Mozambique Channel ◽  
Sea Surface Wind ◽  
Sst Anomalies

Based on both satellite remote sensing sea surface temperature (SST) data and numerical model results, SST warming differences in the Mozambique Channel (MC) west of the Madagascar Island (MI) were found with respect to the SST east of the MI along the same latitude. The mean SST west of the MI is up to about 3.0 °C warmer than that east of the MI. The SST differences exist all year round and the maximum value appears in October. The area of the highest SST is located in the northern part of the MC. Potential factors causing the SST anomalies could be sea surface wind, heat flux and oceanic flow advection. The presence of the MI results in weakening wind in the MC and in turn causes weakening of the mixing in the upper oceans, thus the surface mixed layer depth becomes shallower. There is more precipitation on the east of the MI than that inside the MC because of the orographic effects. Different precipitation patterns and types of clouds result in different solar radiant heat fluxes across both sides of the MI. Warm water advected from the equatorial area also contribute to the SST warm anomalies.

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