Wind-wave simulation in South China Sea

Preliminary results of model evaluation using different wind forcing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Two different sets of wind data QuikSCAT/NCEP scatterometerwind and Climate Forecast System Reanalysis (CFSR) wind were used to evaluate wind-wave characteristic by using the NOAA WaveWatch III during the northeast monsoon. These two datasets have been widely used. The spatial and temporal resolution for both datasets are 0.5° by 0.5° and 6 hourly, respectively. Statistical analyses such as correlation of wind speed, root mean square error (RMSE), bias and correlation coefficient have been carried out in this study. The wind speed and directionof both winds are almost similar for the whole domain. The wind speed correlation of both winds is 0.94. The correlation of significant wave height between QuikSCAT and AWAC data is 0.80 while for CFSR is 0.97. CFSR wind data shows better results compared to QuikSCAT. The lower correlation for the QuickSCAT could be due to the fact that the scatterometer wind is sensitive to rain hence there could be contamination in the QuikSCAT data as precipitation is high during the northeast monsoon.

Original languageEnglish
Title of host publicationAIP Conference Proceedings
Pages454-459
Number of pages6
Volume1571
DOIs
Publication statusPublished - 2013
Event2013 UKM Faculty of Science and Technology Post-Graduate Colloquium - Selangor
Duration: 3 Jul 20134 Jul 2013

Other

Other2013 UKM Faculty of Science and Technology Post-Graduate Colloquium
CitySelangor
Period3/7/134/7/13

Fingerprint

China
evaluation
simulation
forecasting
climate
monsoons
scatterometers
root-mean-square errors
rain
temporal resolution
correlation coefficients
contamination
spatial resolution
coefficients

Keywords

  • CFSR reanalysis
  • QuikSCAT/NCEP
  • Wave
  • WaveWatch III and South China Sea
  • Wind

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Wind-wave simulation in South China Sea : Preliminary results of model evaluation using different wind forcing. / Rahim, Nurul A Idah Abd; Liew, Ju Neng; Tangang @ Tajudin Mahmud, Fredolin.

AIP Conference Proceedings. Vol. 1571 2013. p. 454-459.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rahim, NAIA, Liew, JN & Tangang @ Tajudin Mahmud, F 2013, Wind-wave simulation in South China Sea: Preliminary results of model evaluation using different wind forcing. in AIP Conference Proceedings. vol. 1571, pp. 454-459, 2013 UKM Faculty of Science and Technology Post-Graduate Colloquium, Selangor, 3/7/13. https://doi.org/10.1063/1.4858697
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AB - Two different sets of wind data QuikSCAT/NCEP scatterometerwind and Climate Forecast System Reanalysis (CFSR) wind were used to evaluate wind-wave characteristic by using the NOAA WaveWatch III during the northeast monsoon. These two datasets have been widely used. The spatial and temporal resolution for both datasets are 0.5° by 0.5° and 6 hourly, respectively. Statistical analyses such as correlation of wind speed, root mean square error (RMSE), bias and correlation coefficient have been carried out in this study. The wind speed and directionof both winds are almost similar for the whole domain. The wind speed correlation of both winds is 0.94. The correlation of significant wave height between QuikSCAT and AWAC data is 0.80 while for CFSR is 0.97. CFSR wind data shows better results compared to QuikSCAT. The lower correlation for the QuickSCAT could be due to the fact that the scatterometer wind is sensitive to rain hence there could be contamination in the QuikSCAT data as precipitation is high during the northeast monsoon.

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