Abstract

Abstract. Radiative properties of clouds over the Indian subcontinent and nearby oceanic regions (0–25° N, 60–100° E) during the Asian summer monsoon season (June–September) are investigated using the Clouds and Earth's Radiant Energy System (CERES) top-of-the-atmosphere (TOA) flux data. Using multiyear satellite data, the net cloud radiative forcing (NETCRF) at the TOA over the Indian region during the Asian monsoon season is examined. The seasonal mean NETCRF is found to be negative (with its magnitude exceeding ~30 Wm−2) over (1) the northern Bay of Bengal (close to the Myanmar–Thailand coast), (2) the Western Ghats and (3) the coastal regions of Myanmar. Such strong negative NETCRF values observed over the Indian monsoon region contradict the assumption that near cancellation between LWCRF and SWCRF is a generic property of all tropical convective regions. The seasonal mean cloud amount (high and upper middle) and corresponding cloud optical depth observed over the three regions show relatively large values compared to the rest of the Indian monsoon region. Using satellite-derived cloud data, a statistical cloud vertical model delineating the cloud cover and single-scattering albedo was developed for the three negative NETCRF regions. The shortwave (SW), longwave (LW) and net cloud radiative forcing over the three negative NETCRF regions are calculated using the rapid radiative transfer model (RRTM) with the cloud vertical model as input. The NETCRF estimated from CERES observations show good comparison with that computed using RRTM (within the uncertainty limit of CERES observations). Sensitivity tests are conducted using RRTM to identify the parameters that control the negative NETCRF observed over these regions during the summer monsoon season. Increase in atmospheric water vapor content during the summer monsoon season is found to influence the negative NETCRF values observed over the region.

Highlights

  • Radiation at the top of the atmosphere and surface of Earth are significantly modulated by the presence of clouds in the atmosphere

  • This indicates that the cloud vertical model used in the estimation of TOA flux (RRTM) for the three negative net cloud radiative forcing (NETCRF) regimes is more accurate in representing the cloud overlap and altitude structure compared to the cloud vertical structure (CVS) scheme used in the International Satellite Cloud Climatology Project (ISCCP)-FD flux estimation

  • The net cloud radiative forcing over the Indian land mass and adjacent oceanic regions during the Asian summer monsoon season of 2002–2005 was investigated using Clouds and Earth’s Radiant Energy System (CERES) observations and rapid radiative transfer model (RRTM) simulations

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Summary

Introduction

Radiation at the top of the atmosphere and surface of Earth are significantly modulated by the presence of clouds in the atmosphere. Jensen et al (1994) studied the sensitivity of TOA flux to cloud micro/macrophysical properties using a 1-D radiative transfer model and observed that net radiative forcing of cirrus near the tropical tropopause is positive for cloud optical depths less than ∼ 16 and negative for larger optical depths. Earlier studies suggest that the negative NETCRF observed over the Indian region (0–25◦ N, 60–100◦ E) during the Asian summer monsoon season is mainly influenced by the cloud macrophysical properties (cloud amount, cloud height) with little understanding of the impact of microphysical (cloud optical depth, particle size and habit) and environmental variables (water vapor, SST). This paper delineates various negative NETCRF regimes observed over the Indian region during the summer monsoon season using the Clouds and Earth’s Radiant Energy System (CERES) TOA flux data and examines the factors that control it.

CERES TOA flux data
Uncertainty analysis
Cloud data
ISCCP-FD TOA flux data
Rapid radiative transfer model
Cloud overlap
Radiative characteristics of convective clouds over the Indian region
Cloud characteristics over the Indian region
Sensitivity calculations
Influence of cloud macrophysical properties on CRF
Influence of cloud microphysical properties on CRF
Influence of atmospheric water vapor on CRF
Intercomparison of the oceanic NETCRF regimes
Findings
Summary and discussion
Full Text
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