Quantifying Uncertainties in CERES/MODIS Downwelling Radiation Fluxes in the Global Tropical Oceans

Author:

Thandlam Venugopal123,Rutgersson Anna14,Rahaman Hasibur5,Yabaku Mounika6,Kaagita Venkatramana78,Sakirevupalli Venkatramana Reddy8

Affiliation:

1. Department of Earth Sciences, Uppsala University, Uppsala, Sweden.

2. The Center for Environment and Development Studies Research Forum (CEFO), Uppsala University, Uppsala, Sweden.

3. Department of Meteorology and Oceanography, Andhra Pradesh, India.

4. Centre of Natural Hazards and Disaster Science (CNDS), Uppsala University, Uppsala, Sweden.

5. ESSO-Indian National Centre for Ocean Information Services (INCOIS), Hyderabad, India.

6. Department of Computer Sciences, Uppsala University, Uppsala, Sweden.

7. The Energy and Resources Institute, New Delhi, India.

8. Department of Physics, Sri Venkateshwara University, Tirupati, India.

Abstract

The Clouds and the Earth's Radiant Energy System program, which uses the Moderate Resolution Imaging Spectroradiometer (CM), has been updated with the launch of new satellites and the availability of newly upgraded radiation data. The spatial and temporal variability of daily averaged synoptic 1-degree CM version 3 (CMv3) (old) and version 4 (CMv4) (new) downwelling shortwave (Q S ) and longwave radiation (Q L ) data in the global tropical oceans spanning 30°S–30°N from 2000 to 2017 is investigated. Daily in situ data from the Global Tropical Moored Buoy Array were used to validate the CM data from 2000 to 2015. When compared to CMv3, both Q S and Q L in CMv4 show significant improvements in bias, root-mean-square error, and standard deviations. Furthermore, a long-term trend analysis shows that Q S has been increasing by 1 W m −2 per year in the Southern Hemisphere. In contrast, the Northern Hemisphere has a −0.7 W m −2 annual decreasing trend. Q S and Q L exhibit similar spatial trend patterns. However, in the Indian Ocean, Indo-Pacific warm pool region, and Southern Hemisphere, Q L spatial patterns in CMv3 and CMv4 differ with an opposite trend (0.5 W m −2 ). These annual trends in Q S and Q L could cause the sea surface temperature to change by −0.2 to 0.3 °C per year in the tropical oceans. These results stress the importance of accurate radiative flux data, and CMv4 can be an alternative to reanalysis or other model-simulated data.

Publisher

American Association for the Advancement of Science (AAAS)

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