Comparison of QuikSCAT, WRF and buoy ocean surface wind data off Valparaiso Bay, Chile

Cáceres-Soto M.; Sepúlveda H.H.; Muñoz-Mellado K.; Artal O.

Abstract

The winds that affect the surface of the ocean are also important for a vast array of activities, either operational or scientific, hence the importance of being able to adequately predict this quality. Because of the preceding fact, a Weather Research and Forecasting model was used to perform simulations at the surface of the Ocean, for winds derived from different boundary conditions (NCEP-CFSR, ERA-Interim and NCEP-FNL) and configured with different spatial resolution (25, 5 and 1 km), with the objective of evaluating which of these data sets delivers the more precise wind simulation at the surface of the ocean. A comparative analysis was performed between the different outputs of the WRF model, QuikSCAT satellite and in situ observations of a buoy installed off the central coast of Chile. The results showed that the WRF model, overestimates the wind magnitudes, across all boundary conditions or spatial resolution. Additionally, depending on the in situ wind magnitude ( > 6 ms(-1)), the model predicts adequately wind magnitude and direction. Spatial comparisons were performed between QuikSCAT and WRF outputs at the Chilean coast to evaluate any possible differences. The modeled winds showed a tendency to be stronger than those measured by Satellites and the bigger differences appeared closer to the shore. The wavelet coherence and phase analysis, confirmed that the model delivers precise wind information for frequencies greater than the daily cycle. Finally, the results of the simulation produced by the ERA-Interim analysis showed lower errors in terms of temporal and spatial variability of surface winds.

Más información

Título según WOS: Comparison of QuikSCAT, WRF and buoy ocean surface wind data off Valparaiso Bay, Chile
Título según SCOPUS: Comparison of QuikSCAT, WRF and buoy ocean surface wind data off Valparaiso Bay, Chile
Volumen: 203
Fecha de publicación: 2020
Idioma: English
DOI:

10.1016/j.jmarsys.2019.103263

Notas: ISI, SCOPUS