Is the Atlantic Ocean driving the recent variability in South Asian dust?

Banerjee, Priyanka; Satheesh, Sreedharan Krishnakumari; Krishna Moorthy, Krishnaswamy

doi:https://doi.org/10.5194/acp-21-17665-2021

Articles | Volume 21, issue 23

https://doi.org/10.5194/acp-21-17665-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Interactions between aerosols and the South West Asian...

https://doi.org/10.5194/acp-21-17665-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 21, issue 23

Research article

|

03 Dec 2021

Research article |

| 03 Dec 2021

Is the Atlantic Ocean driving the recent variability in South Asian dust?

Priyanka Banerjee, Sreedharan Krishnakumari Satheesh, and Krishnaswamy Krishna Moorthy

Related authors

Performance comparison between CERES-MODIS and OMI in retrieving SSA across diverse aerosol regimes

Archana Devi, Sreedharan K Satheesh, and Jayaraman Srinivasan

EGUsphere, https://doi.org/10.5194/egusphere-2025-4146,https://doi.org/10.5194/egusphere-2025-4146, 2025

This preprint is open for discussion and under review for Atmospheric Measurement Techniques (AMT).

Short summary

Changing optical properties of black carbon and brown carbon aerosols during long-range transport from the Indo-Gangetic Plain to the equatorial Indian Ocean

Krishnakant Budhavant, Mohanan Remani Manoj, Hari Ram Chandrika Rajendran Nair, Samuel Mwaniki Gaita, Henry Holmstrand, Abdus Salam, Ahmed Muslim, Sreedharan Krishnakumari Satheesh, and Örjan Gustafsson

Atmos. Chem. Phys., 24, 11911–11925, https://doi.org/10.5194/acp-24-11911-2024,https://doi.org/10.5194/acp-24-11911-2024, 2024

Short summary

3D assimilation and radiative impact assessment of aerosol black carbon over the Indian region using aircraft, balloon, ground-based, and multi-satellite observations

Nair Krishnan Kala, Narayana Sarma Anand, Mohanan R. Manoj, Srinivasan Prasanth, Harshavardhana S. Pathak, Thara Prabhakaran, Pramod D. Safai, Krishnaswamy K. Moorthy, and Sreedharan K. Satheesh

Atmos. Chem. Phys., 23, 12801–12819, https://doi.org/10.5194/acp-23-12801-2023,https://doi.org/10.5194/acp-23-12801-2023, 2023

Short summary

Zonal variations in the vertical distribution of atmospheric aerosols over the Indian region and the consequent radiative effects

Nair K. Kala, Narayana Sarma Anand, Mohanan R. Manoj, Harshavardhana S. Pathak, Krishnaswamy K. Moorthy, and Sreedharan K. Satheesh

Atmos. Chem. Phys., 22, 6067–6085, https://doi.org/10.5194/acp-22-6067-2022,https://doi.org/10.5194/acp-22-6067-2022, 2022

Short summary

Global maps of aerosol single scattering albedo using combined CERES-MODIS retrieval

Archana Devi and Sreedharan K. Satheesh

Atmos. Chem. Phys., 22, 5365–5376, https://doi.org/10.5194/acp-22-5365-2022,https://doi.org/10.5194/acp-22-5365-2022, 2022

Short summary

Measurement report: Altitudinal variation of cloud condensation nuclei activation across the Indo-Gangetic Plain prior to monsoon onset and during peak monsoon periods: results from the SWAAMI field campaign

Mohanan R. Manoj, Sreedharan K. Satheesh, Krishnaswamy K. Moorthy, Jamie Trembath, and Hugh Coe

Atmos. Chem. Phys., 21, 8979–8997, https://doi.org/10.5194/acp-21-8979-2021,https://doi.org/10.5194/acp-21-8979-2021, 2021

Short summary

Assessment of regional aerosol radiative effects under the SWAAMI campaign – Part 2: Clear-sky direct shortwave radiative forcing using multi-year assimilated data over the Indian subcontinent

Harshavardhana Sunil Pathak, Sreedharan Krishnakumari Satheesh, Krishnaswamy Krishna Moorthy, and Ravi Shankar Nanjundiah

Atmos. Chem. Phys., 20, 14237–14252, https://doi.org/10.5194/acp-20-14237-2020,https://doi.org/10.5194/acp-20-14237-2020, 2020

Short summary

Cited articles

Abish, B. and Mohanakumar, K.: Absorbing aerosol variability over the Indian subcontinent and its increasing dependence on ENSO, Glob. Planet. Change, 106, 13–19, https://doi.org/10.1016/j.gloplacha.2013.02.007, 2013.

AERONET: Aerosol Robotic network [dataset], available at: https://aeronet.gsfc.nasa.gov/, last access: 31 August 2020.

Albani, S., Mahowald, N. M., Perry, A. T., Scanza, R. A., Heavens, N. G., Zender, C. S., Maggi, V., Kok, J. F., and Otto-Bliesner, B. L.: Improved dust representation in the Community Atmosphere Model. J. Adv. Model. Earth Syst., 6, 541–570, https://doi.org/10.1002/2013MS000279, 2014.

Annamalai, H., Taguchi, B., McCreary, J. P., Nagura, M., and Miyama, T.: Systematic errors in South Asian monsoon simulation: Importance of equatorial Indian Ocean processes, J. Clim., 30, 8159–8178, https://doi.org/10.1175/JCLI-D-16-0573.1, 2017.

Ashok, K., Guan, Z., and Yamagata, T.: Impact of the Indian Ocean dipole on the relationship between the Indian monsoon rainfall and ENSO, Geophys. Res. Lett., 28, 4499–4502, https://doi.org/10.1029/2001GL013294, 2001.