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

2011 ◽  
Vol 116 (C9) ◽  
Author(s):  
Naveen R. Shahi ◽  
Pradeep K. Thapliyal ◽  
Rashmi Sharma ◽  
Pradip K. Pal ◽  
Abhijit Sarkar
Keyword(s):  
Indian Ocean ◽  
Tropical Indian Ocean ◽  
Geostationary Satellite ◽  
Satellite Observations ◽  
Shortwave Radiation

Improved Estimation of Shortwave Radiation Over Equatorial Indian Ocean Using Geostationary Satellite Data

2010 ◽  
Vol 7 (3) ◽  
pp. 563-566 ◽  
Author(s):  
Naveen R. Shahi ◽  
Neeraj Agarwal ◽  
Rashmi Sharma ◽  
Pradeep K. Thapliyal ◽  
Prakash. C. Joshi ◽  
...  
Keyword(s):  
Indian Ocean ◽  
Satellite Data ◽  
Equatorial Indian Ocean ◽  
Geostationary Satellite ◽  
Shortwave Radiation

scholarly journals Seasonal Mixed Layer Heat Balance of the Southwestern Tropical Indian Ocean*

2010 ◽  
Vol 23 (4) ◽  
pp. 947-965 ◽  
Author(s):  
Gregory R. Foltz ◽  
Jérôme Vialard ◽  
B. Praveen Kumar ◽  
Michael J. McPhaden
Keyword(s):  
Indian Ocean ◽  
Mixed Layer ◽  
Heat Balance ◽  
Seasonal Cycle ◽  
Surface Wind ◽  
Tropical Indian Ocean ◽  
Surface Heat ◽  
Shortwave Radiation ◽  
Boreal Summer ◽  
Heat Advection

Abstract Sea surface temperature (SST) in the southwestern tropical Indian Ocean exerts a significant influence on global climate through its influence on the Indian summer monsoon and Northern Hemisphere atmospheric circulation. In this study, measurements from a long-term moored buoy are used in conjunction with satellite, in situ, and atmospheric reanalysis datasets to analyze the seasonal mixed layer heat balance in the thermocline ridge region of the southwestern tropical Indian Ocean. This region is characterized by a shallow mean thermocline (90 m, as measured by the 20°C isotherm) and pronounced seasonal cycles of Ekman pumping and SST (seasonal ranges of −0.1 to 0.6 m day−1 and 26°–29.5°C, respectively). It is found that surface heat fluxes and horizontal heat advection contribute significantly to the seasonal cycle of mixed layer heat storage. The net surface heat flux tends to warm the mixed layer throughout the year and is strongest during boreal fall and winter, when surface shortwave radiation is highest and latent heat loss is weakest. Horizontal heat advection provides warming during boreal summer and fall, when southwestward surface currents and horizontal SST gradients are strongest, and is close to zero during the remainder of the year. Vertical turbulent mixing, estimated as a residual in the heat balance, also undergoes a significant seasonal cycle. Cooling from this term is strongest in boreal summer, when surface wind and buoyancy forcing are strongest, the thermocline ridge is shallow (<90 m), and the mixed layer is deepening. These empirical results provide a framework for addressing intraseasonal and interannual climate variations, which are dynamically linked to the seasonal cycle, in the southwestern tropical Indian Ocean. They also provide a quantitative basis for assessing the accuracy of numerical ocean model simulations in the region.

scholarly journals Air–Sea Interaction in Association with Monthly Anomaly Departure over the Western North Pacific and Tropical Indian Ocean during the Spring-to-Summer Transition

2016 ◽  
Vol 29 (6) ◽  
pp. 2095-2108 ◽  
Author(s):  
Wenting Hu ◽  
Renguang Wu
Keyword(s):  
Heat Flux ◽  
Indian Ocean ◽  
Tropical Indian Ocean ◽  
Precipitation Variability ◽  
Precipitation Anomaly ◽  
Shortwave Radiation ◽  
Dominant Term ◽  
Transition Season ◽  
Remote Forcing ◽  
Sst Anomaly

Abstract The study analyzes precipitation variability and related air–sea interaction processes over the South China Sea (SCS) and tropical Indian Ocean (TIO) during the spring-to-summer transition season. It is found that physical processes are very different for the variations of seasonal mean and the monthly departures from the seasonal mean. Corresponding to the seasonal mean anomaly, remote forcing from the equatorial Pacific is a major factor for the precipitation variability with a prominent negative feedback of the atmosphere on the ocean. However, from the viewpoint of the monthly anomaly departure from the seasonal mean, a pronounced local coupled air–sea interaction is detected in both the SCS and TIO that features a sequential process of less rainfall, higher sea surface temperature (SST), more rainfall, and lower SST. The evolution of the SST tendency is well coordinated with that of net surface heat flux in the SCS and TIO. During the transition season, shortwave radiation is a dominant term for the SST change in the SCS, whereas both shortwave radiation and latent heat flux are responsible for the SST change in the TIO. The local air–sea relationship shows an obvious spatiotemporal variation during the transition season. Furthermore, the SST anomaly departure in the TIO (SCS) in April (May) could be considered as an indicator for local precipitation anomaly departure in May (June).

Vertical distribution of bigeye tuna Thunnus obesus in the tropical Indian Ocean

2013 ◽  
Vol 20 (3) ◽  
pp. 660-671 ◽  
Author(s):  
Xuezhong CHEN ◽  
Shenglong YANG ◽  
Yu Zhang ◽  
Wei FAN ◽  
Yumei WU
Keyword(s):  
Indian Ocean ◽  
Vertical Distribution ◽  
Tropical Indian Ocean ◽  
Bigeye Tuna ◽  
Thunnus Obesus

Interannual variability of the Tropical Indian Ocean mixed layer depth

2012 ◽  
Vol 40 (3-4) ◽  
pp. 743-759 ◽  
Author(s):  
M. G. Keerthi ◽  
M. Lengaigne ◽  
J. Vialard ◽  
C. de Boyer Montégut ◽  
P. M. Muraleedharan
Keyword(s):  
Indian Ocean ◽  
Interannual Variability ◽  
Mixed Layer ◽  
Mixed Layer Depth ◽  
Tropical Indian Ocean ◽  
Ocean Mixed Layer ◽  
Layer Depth ◽  
Ocean Mixed Layer Depth

Assessment of mass-induced sea level variability in the Tropical Indian Ocean based on GRACE and altimeter observations

2021 ◽  
Vol 95 (2) ◽  
Author(s):  
Shiva Shankar Manche ◽  
Rabindra K. Nayak ◽  
Prakash Chandra Mohanty ◽  
M. V. R. Shesasai ◽  
V. K. Dadhwal
Keyword(s):  
Indian Ocean ◽  
Sea Level ◽  
Tropical Indian Ocean ◽  
Sea Level Variability

scholarly journals Seasonality and Dynamics of Atmospheric Teleconnection from the Tropical Indian Ocean and the Western Pacific to West Antarctica

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 849
Author(s):  
Hyun-Ju Lee ◽  
Emilia-Kyung Jin
Keyword(s):  
Indian Ocean ◽  
Rossby Wave ◽  
Tropical Indian Ocean ◽  
Western Pacific ◽  
Tropical Region ◽  
Formation Mechanisms ◽  
West Antarctica ◽  
Background Flow ◽  
The Impact ◽  
The Western Pacific

The global impact of the tropical Indian Ocean and the Western Pacific (IOWP) is expected to increase in the future because this area has been continuously warming due to global warming; however, the impact of the IOWP forcing on West Antarctica has not been clearly revealed. Recently, ice loss in West Antarctica has been accelerated due to the basal melting of ice shelves. This study examines the characteristics and formation mechanisms of the teleconnection between the IOWP and West Antarctica for each season using the Rossby wave theory. To explicitly understand the role of the background flow in the teleconnection process, we conduct linear baroclinic model (LBM) simulations in which the background flow is initialized differently depending on the season. During JJA/SON, the barotropic Rossby wave generated by the IOWP forcing propagates into the Southern Hemisphere through the climatological northerly wind and arrives in West Antarctica; meanwhile, during DJF/MAM, the wave can hardly penetrate the tropical region. This indicates that during the Austral winter and spring, the IOWP forcing and IOWP-region variabilities such as the Indian Ocean Dipole (IOD) and Indian Ocean Basin (IOB) modes should paid more attention to in order to investigate the ice change in West Antarctica.

scholarly journals Inverting the East Asian Dust Emission Fluxes Using the Ensemble Kalman Smoother and Himawari-8 AODs: A Case Study with WRF-Chem v3.5.1

Atmosphere ◽  
2019 ◽  
Vol 10 (9) ◽  
pp. 543
Author(s):  
Dai ◽  
Cheng ◽  
Goto ◽  
Schutgens ◽  
Kikuchi ◽  
...  
Keyword(s):  
Dust Emission ◽  
Asian Dust ◽  
Geostationary Satellite ◽  
Satellite Observations ◽  
Dust Emissions ◽  
Total Dust ◽  
Kalman Smoother ◽  
Independent Observations ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Horizontal And Vertical Distributions

We present the inversions (back-calculations or optimizations) of dust emissions for a severe winter dust event over East Asia in November 2016. The inversion system based on a fixed-lag ensemble Kalman smoother is newly implemented in the Weather Research and Forecasting model and is coupled with Chemistry (WRF-Chem). The assimilated observations are the hourly aerosol optical depths (AODs) from the next-generation geostationary satellite Himawari-8. The posterior total dust emissions (2.59 Tg) for this event are 3.8 times higher than the priori total dust emissions (0.68 Tg) during 25–27 November 2016. The net result is that the simulated aerosol horizontal and vertical distributions are both in better agreement with the assimilated Himawari-8 observations and independent observations from the ground-based AErosol RObotic NETwork (AERONET), the satellite-based Moderate Resolution Imaging Spectroradiometer (MODIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). The developed emission inversion approach, combined with the geostationary satellite observations, can be very helpful for properly estimating the Asian dust emissions.

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