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Volume 10, issue 1
Earth Syst. Sci. Data, 10, 131-138, 2018
https://doi.org/10.5194/essd-10-131-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Earth Syst. Sci. Data, 10, 131-138, 2018
https://doi.org/10.5194/essd-10-131-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Review article 24 Jan 2018

Review article | 24 Jan 2018

Wind and wave dataset for Matara, Sri Lanka

Yao Luo1, Dongxiao Wang1, Tilak Priyadarshana Gamage2, Fenghua Zhou1, Charith Madusanka Widanage1, and Taiwei Liu3 Yao Luo et al.
  • 1State Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
  • 2University of Ruhuna, Matara 810000, Sri Lanka
  • 3China Harbour Engineering Company Ltd., Beijing 100027, China

Abstract. We present a continuous in situ hydro-meteorology observational dataset from a set of instruments first deployed in December 2012 in the south of Sri Lanka, facing toward the north Indian Ocean. In these waters, simultaneous records of wind and wave data are sparse due to difficulties in deploying measurement instruments, although the area hosts one of the busiest shipping lanes in the world. This study describes the survey, deployment, and measurements of wind and waves, with the aim of offering future users of the dataset the most comprehensive and as much information as possible. This dataset advances our understanding of the nearshore hydrodynamic processes and wave climate, including sea waves and swells, in the north Indian Ocean. Moreover, it is a valuable resource for ocean model parameterization and validation. The archived dataset (Table 1) is examined in detail, including wave data at two locations with water depths of 20 and 10m comprising synchronous time series of wind, ocean astronomical tide, air pressure, etc. In addition, we use these wave observations to evaluate the ERA-Interim reanalysis product. Based on Buoy 2 data, the swells are the main component of waves year-round, although monsoons can markedly alter the proportion between swell and wind sea. The dataset (Luo et al., 2017) is publicly available from Science Data Bank (https://doi.org/10.11922/sciencedb.447).

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We present a continuous in situ hydro-meteorology observational dataset from a set of instruments first deployed in December 2012 in the south of Sri Lanka, facing toward the north Indian Ocean. This study describes the survey, deployment, and measurements of wind and wave, with the aim of offering future users of the dataset the most comprehensive and as much information as possible.
We present a continuous in situ hydro-meteorology observational dataset from a set of...
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