Estimation of net surface shortwave radiation over the tropical Indian Ocean using geostationary satellite observations: Algorithm and validation

Shahi, Naveen R; Thapliyal, P. K.; Sharma, Rashmi; Pal, P. K.; Sarkar, Abhijit

doi:10.1029/2011jc007105

Cited by 6 publications

(2 citation statements)

References 21 publications

(45 reference statements)

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“…We also compared the Q S and Q L from CM, CORE-II and TropFlux over the north Indian Ocean. Shahi et al [99] showed the evaluation of net shortwave radiation over the north Indian Ocean. This product was generated using buoy and satellite-derived outgoing longwave radiation data with an empirical relationship.…”

Section: Indian Oceanmentioning

confidence: 99%

Evaluation of surface shortwave and longwave downwelling radiations over the global tropical oceans

Thandlam

Rahaman

2019

SN Appl. Sci.

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In the present study, daily downwelling shortwave (Q S ) and longwave radiation (Q L ) data from one satellite and two hybrid products have been evaluated using Global Tropical Moored Buoy Array during 2001-2009 in the tropical oceans. Daily satellite data are used from the Clouds and Earth's Radiant Energy System (CERES) program. Data are obtained using Moderate Resolution Imaging Spectroradiometer (MODIS) (CM) aboard the Terra and Aqua satellites. Coordinated Ocean Research Experiments (CORE-II) and Tropical Flux data (TropFlux) are the other two hybrid products used in this study.The analysis shows that majority of Q S observations as well as derived products lie in 200-300 Wm −2 range in all the three tropical oceans. Both Q S and Q L in all products overestimated the majority of the observations. Yet, they underestimated the lower (0-100 Wm −2 ) values in Q S and higher (300-440 Wm −2 ) values in Q L . Majority of the Q L observations lie within 390-420 Wm −2 range, and CM slightly overestimated this observed distribution in the Pacific and the Atlantic Oceans. But, majority of the observations in the Indian Ocean lie within 420-450 Wm −2 range. This implies that the tropical Indian Ocean receives 30 Wm −2 more energy as compared to the tropical Pacific and the Atlantic in the form of downwelling longwave radiation. Daily observed Q S shows dominant seasonal cycle over the central, the eastern Pacific and the eastern Atlantic. On the other hand, the western Pacific, the central Atlantic and the Indian Oceans show intraseasonal variations. All products show this variation with high root-mean-square error (RMSE) values (Q S and Q L ) over the Indian Ocean than in the Pacific and the Atlantic Oceans. Downwelling radiation from CORE-II shows highest RMSE (for both Q S and Q L ) with least correlation coefficient (CC), and TropFlux has lowest RMSE and highest CC among all products in all three tropical oceans. CM has intermediate values of standard deviation, CC and RMSE. These results are not seasonally dependent, since the seasonal statistics are consistent with seasonal changes. Assuming that the SST is only driven by the downwelling shortwave and longwave fluxes, the errors associated with monthly SST can be as large as 0.2-0.3 (0.1-0.2) °C associated with errors in Q S (Q L ). Both Q S and Q L in CORE-II have lower spatial variability as compared to other datasets. Q L in the tropical oceans shows seasonal spatial variability determined by intertropical convergence zone positions. This variability does not change significantly over the Pacific and the Atlantic Oceans. The summer and winter monsoon patterns in the Indian Ocean guide the Q L variability. Opposite to Q S , higher Q L values have lower variability.Thus, this study aims at finding better radiation dataset to use in the numerical models and deduce that satellite data could be an alternative to existing reanalysis products.

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Section: Indian Oceanmentioning

confidence: 99%

Evaluation of surface shortwave and longwave downwelling radiations over the global tropical oceans

Thandlam

Rahaman

2019

SN Appl. Sci.

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“…Shortwave radiation measurements from satellites are quite useful where there is accurate information about clouds, permitting estimates of radiative forcing (Shahi et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Large-Scale Air-Sea Coupling Processes in the Bay of Bengal Using Space-Borne Observations

Sharma¹,

Agarwal²,

Chakraborty³

et al. 2016

Oceanog

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Satellite-Based Estimation of Surface Shortwave Net Radiation

Wang

2018

Comprehensive Remote Sensing

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Estimation of net surface shortwave radiation over the tropical Indian Ocean using geostationary satellite observations: Algorithm and validation

Cited by 6 publications

References 21 publications

Evaluation of surface shortwave and longwave downwelling radiations over the global tropical oceans

Evaluation of surface shortwave and longwave downwelling radiations over the global tropical oceans

Large-Scale Air-Sea Coupling Processes in the Bay of Bengal Using Space-Borne Observations

Satellite-Based Estimation of Surface Shortwave Net Radiation

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