scholarly journals Editorial for Special Issue “Ocean Radar”

2019 ◽  
Vol 11 (7) ◽  
pp. 834
Author(s):  
Weimin Huang ◽  
Björn Lund ◽  
Biyang Wen
Keyword(s):  
High Frequency ◽  
Wind Wave ◽  
Surface Wind ◽  
Sea Surface ◽  
Special Issue ◽  
Sea Surface Wind ◽  
Control Schemes ◽  
New Methodologies ◽  
Ocean Monitoring ◽  
Ocean Radar

This Special Issue hosts papers related to ocean radars including the high-frequency (HF) surface wave and sky wave radars, X-, L-, K-band marine radars, airborne scatterometers, and altimeter. The topics covered by these papers include sea surface wind, wave and current measurements, new methodologies and quality control schemes for improving the estimation results, clutter and interference classification and detection, and optimal design as well as calibration of the sensors for better performance. Although different problems are tackled in each paper, their ultimate purposes are the same, i.e., to improve the capacity and accuracy of these radars in ocean monitoring.

Wave- and Anemometer-Based Sea Surface Wind (WASWind) for Climate Change Analysis*

2011 ◽  
Vol 24 (1) ◽  
pp. 267-285 ◽  
Author(s):  
Hiroki Tokinaga ◽  
Shang-Ping Xie
Keyword(s):  
Wind Speed ◽  
Wave Height ◽  
Wind Wave ◽  
Surface Wind ◽  
Sea Surface ◽  
Upward Trend ◽  
Data Set ◽  
Climate Trend ◽  
Sea Surface Wind ◽  
Trend Pattern

Abstract Ship-based measurements of sea surface wind speed display a spurious upward trend due to increases in anemometer height. To correct this bias, the authors constructed a new sea surface wind dataset from ship observations of wind speed and wind wave height archived in the International Comprehensive Ocean–Atmosphere Data Set (ICOADS). The Wave- and Anemometer-based Sea surface Wind (WASWind) dataset is available for wind velocity and scalar speed at monthly resolution on a 4° × 4° longitude–latitude grid from 1950 to 2008. It substantially reduces the upward trend in wind speed through height correction for anemometer-measured winds, rejection of spurious Beaufort winds, and use of estimated winds from wind wave height. The reduced global upward trend is smallest among the existing global datasets of in situ observations and comparable with those of reanalysis products. Despite the significant reduction of globally averaged wind speed trend, WASWind features rich spatial structures in trend pattern, making it a valuable dataset for studies of climate changes on regional scales. Not only does the combination of ship winds and wind wave height successfully reproduce major modes of seasonal-to-decadal variability; its trend patterns are also physically consistent with sea level pressure (SLP) measurements. WASWind is in close agreement with wind changes in satellite measurements by the Special Sensor Microwave Imagers (SSM/Is) for the recent two decades. The agreement in trend pattern with such independent observations illustrates the utility of WASWind for climate trend analysis. An application to the South Asian summer monsoon is presented.

Wind-Wave Numerical Prediction Model in East China Sea

2012 ◽  
Vol 542-543 ◽  
pp. 1366-1370
Author(s):  
Xi Shan Pan ◽  
Rui Jie Li ◽  
Yang Li ◽  
Chun Hui Li ◽  
Wei Yi Zhang
Keyword(s):  
Prediction Model ◽  
East China Sea ◽  
Wind Field ◽  
Wind Wave ◽  
Surface Wind ◽  
Wave Model ◽  
Numerical Prediction ◽  
Sea Surface ◽  
Sea Surface Wind ◽  
Surface Wind Field

Sea surface wind field is a basic parameter of marine dynamic process, Catastrophic Sea-state such as marine tropical storm and storm surge are all driven by marine wind, wave monitoring and prediction also need sea surface wind field. By combining the new generation of weather research and prediction model (WRF) and the third generation wave model (WAVEWATCHⅢ), establish an Atmospheric-Wave numerical prediction system. Developing sea surface wind field numerical forecast in East China Sea, it makes up the shortage of wind field data’s absence. By using the numerical prediction results, the wave model will provide accurate and reliable wave forecast products for Chinese shipping, ocean activities and military affairs.

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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