Estimation of Aerosol-Corrected Surface Solar Irradiance at Local Incidence Angle over Different Physiographic Subdivisions of India and Adjoining Areas Using MODIS and SRTM Data

Lukose, Libeesh; Dutta, Dibyendu

doi:10.1175/jtech-d-18-0202.1

Cited by 2 publications

(2 citation statements)

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“…The value of 0.78 for SW transmission in the Badajoz experiment is in fact not very low. For example, based on satellite-based estimates [33] monthly mean values of less than 0.5 were recently reported over areas of India. Our example was that of desert dust whereas the aerosol composition over India is likely to be quite different.…”

Section: Discussionmentioning

confidence: 99%

Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System

et al. 2020

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The direct radiative effect of aerosols is taken into account in many limited-area numerical weather prediction models using wavelength-dependent aerosol optical depths of a range of aerosol species. We studied the impact of aerosol distribution and optical properties on radiative transfer, based on climatological and more realistic near real-time aerosol data. Sensitivity tests were carried out using the single-column version of the ALADIN-HIRLAM numerical weather prediction system, set up to use the HLRADIA simple broadband radiation scheme. The tests were restricted to clear-sky cases to avoid the complication of cloud-radiation-aerosol interactions. The largest differences in radiative fluxes and heating rates were found to be due to different aerosol loads. When the loads are large, the radiative fluxes and heating rates are sensitive to the aerosol inherent optical properties and the vertical distribution of the aerosol species. In such cases, regional weather models should use external real-time aerosol data for radiation parametrizations. Impacts of aerosols on shortwave radiation dominate longwave impacts. Sensitivity experiments indicated the important effects of highly absorbing black carbon aerosols and strongly scattering desert dust.Atmosphere 2020, 11, 205 2 of 27 life cycle of aerosols from their formation to their deposition and their dispersion in the atmosphere at timescales of the order of several days. In such models the physicochemical processes evolve in an environment controlled by atmospheric large-scale dynamics. Advanced data assimilation, using reliable information about emission sources and conventional and space-born observations, is used to constrain the modelled processes. The Copernicus Atmosphere Monitoring Service (CAMS) global reanalysis of atmospheric composition [7] has resulted in an extensive historical aerosol dataset. They also produce global forecasts of aerosols and atmospheric chemical constituents in near-real time [8].In the European Centre for Medium-Range Weather Forecast (ECMWF) model the use of a new global 3D aerosol climatology based on [7], combined with updated aerosol inherent optical properties (IOPs), led to a systematic improvement in lower troposphere temperature and wind forecasts over certain regions of the globe [9]. However, during wildfires, desert dust intrusions, volcanic eruptions and enhanced anthropogenic emissions aerosol concentrations in the atmosphere may significantly exceed climatological values, which can influence the weather on local to global scales. In such cases reliance on aerosol climatologies is insufficient for accurate forecasting of radiation and temperatures [10][11][12][13]. Recent studies, such as those by [14,15], provide additional motivation to improve how aerosols are taken into account in short-range regional numerical weather prediction (NWP) models and not just in global medium-range forecasting and climate models [16][17][18]. The direct radiative effect of aerosols on weather and climate is much better quantified t...

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Section: Discussionmentioning

confidence: 99%

Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System

et al. 2020

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“…The minimum value of 0.78 for SW transmission seen in the Badajoz experiment is not very low. For example, based on satellite-based estimates [29] monthly mean values of less than 0.5 were recently reported over areas of India. Our example was that of desert dust.…”

Section: Discussionmentioning

confidence: 99%

Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System

Rontu¹,

Gleeson²,

Pérez³

et al. 2020

Preprint

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The direct radiative effect of aerosols is taken into account in many limited area numerical weather prediction models using wavelength-dependent aerosol optical depths of a range of aerosol species. We study the impact of aerosol distribution and optical properties on radiative transfer, based on climatological and more realistic near real-time aerosol data. Sensitivity tests were carried out using the single column version of the ALADIN-HIRLAM numerical weather prediction system, set up to use the HLRADIA broadband radiation scheme. The tests were restricted to clear-sky cases to avoid the complication of cloud-radiation-aerosol interactions. The largest differences in radiative fluxes and heating rates were found to be due to different aerosol loads. When the loads are large, the radiative fluxes and heating rates are sensitive to the aerosol inherent optical properties and vertical distribution of the aerosol species. Impacts of aerosols on shortwave radiation dominate longwave impacts. Sensitivity experiments indicated the important effects of highly absorbing black carbon aerosols and strongly scattering desert dust.

show abstract

Estimation of Aerosol-Corrected Surface Solar Irradiance at Local Incidence Angle over Different Physiographic Subdivisions of India and Adjoining Areas Using MODIS and SRTM Data

Cited by 2 publications

References 50 publications

Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System

Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System

Sensitivity of Radiative Fluxes to Aerosols in the ALADIN-HIRLAM Numerical Weather Prediction System

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