Evaluation of radiative fluxes over the north Indian Ocean

被引:10
作者
Kumar, M. R. Ramesh [1 ]
Pinker, Rachel T. [2 ]
Mathew, Simi [3 ]
Venkatesan, R. [3 ]
Chen, W. [2 ]
机构
[1] Natl Inst Oceanog, Phys Oceanog Div, Panaji 403004, Goa, India
[2] Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
[3] Natl Inst Ocean Technol, Madras, Tamil Nadu, India
关键词
NETWORK; SYSTEM;
D O I
10.1007/s00704-017-2141-6
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Radiative fluxes are a key component of the surface heat budget of the oceans. Yet, observations over oceanic region are sparse due to the complexity of radiation measurements; moreover, certain oceanic regions are substantially under-sampled, such as the north Indian Ocean. The National Institute of Ocean Technology, Chennai, India, under its Ocean Observation Program has deployed an Ocean Moored Network for the Northern Indian Ocean (OMNI) both in the Arabian Sea and the Bay of Bengal. These buoys are equipped with sensors to measure radiation and rainfall, in addition to other basic meteorological parameters. They are also equipped with sensors to measure sub-surface currents, temperature, and conductivity from the surface up to a depth of 500 m. Observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard the National Aeronautics and Space Administration (NASA) AQUA and TERRA satellites have been used to infer surface radiation over the north Indian Ocean. In this study, we focus only on the shortwave (SWa dagger") fluxes. The evaluations of the MODIS-based SWa dagger" fluxes against the RAMA observing network have shown a very good agreement between them, and therefore, we use the MODIS-derived fluxes as a reference for the evaluation of the OMNI observations. In an early deployment of the OMNI buoys, the radiation sensors were placed at 2 m above the sea surface; subsequently, the height of the sensors was raised to 3 m. In this study, we show that there was a substantial improvement in the agreement between the buoy observations and the satellite estimates, once the sensors were raised to higher levels. The correlation coefficient increased from 0.87 to 0.93, and both the bias and standard deviations decreased substantially.
引用
收藏
页码:983 / 988
页数:6
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