Technical note: Fu–Liou–Gu and Corti–Peter model performance evaluation for radiative retrievals from cirrus clouds

Lolli, Simone; Campbell, James; Lewis, Jasper R.; Gu, Yu; Welton, Ellsworth J.

doi:10.5194/acp-17-7025-2017

Cited by 18 publications

(18 citation statements)

References 31 publications

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“…16.0 ± 2.9 13 ± 5.6 15.8 ± 2.1 11.7 ± 3.7 RE (W m −2 ) −104.9 ± 13.4 −63.6 ± 15.9 −74.1 ± 87 −61.9 ± 9.5 AOD 550 0.52 ± 0.25 0.16 ± 0.06 in agreement with the values obtained in previous studies for the European region ranging between 9 % and 26 % (Perrone and Bergamo, 2011;Sicard et al, 2014b, a;Lolli et al, 2018;Meloni et al, 2018). The SW vertical distribution of the HR is highly correlated with the α aer values as well, when comparing Figs.…”

Section: Dre Below Calipso Overpasssupporting

confidence: 92%

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Two-dimensional mineral dust radiative effect calculations from CALIPSO observations over Europe

et al. 2019

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Abstract. A demonstration study to examine the feasibility of retrieving dust radiative effects based on combined satellite data from MODIS (Moderate Resolution Imaging Spectroradiometer), CERES (Clouds and the Earth's Radiant Energy System) and CALIOP (Cloud-Aerosol Lidar with Orthogonal Polarization) lidar vertical profiles along their orbit is presented. The GAME (Global Atmospheric Model) radiative transfer model is used to estimate the shortwave and longwave dust radiative effects below the CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite) orbit assuming an aerosol parameterization based on the CALIOP vertical distribution at a horizontal resolution of 5 km and additional AERONET (Aerosol Robotic Network) data. Two study cases are analyzed: a strong long-range transport mineral dust event (aerosol optical depth, AOD, of 0.52) that originated in the Sahara Desert and reached the United Kingdom and a weaker event (AOD = 0.16) that affected eastern Europe. The radiative fluxes obtained are first validated in terms of radiative efficiency at a single point with space–time colocated lidar ground-based measurements from EARLINET (European Aerosol Research Lidar Network) stations below the orbit. The methodology is then applied to the full orbit. The strong dependence of the radiative effects on the aerosol load (and to a lesser extent on the surface albedo) highlights the need for accurate AOD measurements for radiative studies. The calculated dust radiative effects and heating rates below the orbits are in good agreement with previous studies of mineral dust, with the radiative efficiency obtained at the surface ranging between −80.3 and −63.0 W m−2 for lower dust concentration event and −119.1 and −79.3 W m−2 for the strong event. Thus, results demonstrate the validity of the method presented here to retrieve 2-D accurate radiative properties with large spatial and temporal coverage.

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Section: Dre Below Calipso Overpasssupporting

confidence: 92%

“…Correlation coefficients of −0.98 for Granada and −0.70 for Bucharest are obtained. This strong dependence of the DRE on the AOD is already well-documented (Prasad et al, 2007;Sicard et al, 2014a;Lolli et al, 2017bLolli et al, , 2018Meloni et al, 2018) and, consequently, by using the RE we avoid this dependency.…”

Section: Dre Below Calipso Overpassmentioning

confidence: 68%

Two-dimensional mineral dust radiative effect calculations from CALIPSO observations over Europe

et al. 2019

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“…Measurements and retrievals obtained from worldwide deployed permanent stations are publicly available at MPLNET website [7]. Multi-year network data were previously analyzed to assess cloud [7][8][9][10] and aerosol [2,11,12] radiative effects.…”

Section: Mplnet Lidar Data Measurementsmentioning

confidence: 99%

Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution

et al. 2018

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In this paper, we illustrate a new, simple and complementary ground-based methodology to retrieve the vertically resolved atmospheric precipitation intensity through a synergy between measurements from the National Aeronautics and Space Administration (NASA) Micropulse Lidar network (MPLNET), an analytical model solution and ground-based disdrometer measurements. The presented results are obtained at two mid-latitude MPLNET permanent observational sites, located respectively at NASA Goddard Space Flight Center, USA, and at the Universitat Politècnica de Catalunya, Barcelona, Spain. The methodology is suitable to be applied to existing and/or future lidar/ceilometer networks with the main objective of either providing near real-time (3 h latency) rainfall intensity measurements and/or to validate satellite missions, especially for critical light precipitation (<3 mm h −1 ).

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“…The vertical structure of cloud and aerosol properties can also be retrieved through combined lidar and radar ground-based measurements as proposed in the frame of the CloudNet European Project (Illingworth et al, 2007). Still, the radar technique proves capable of characterizing only the relatively extreme fraction of the aerosol size distribution (Madonna et al, 2010(Madonna et al, , 2013.…”

Section: Introductionmentioning

confidence: 99%

Impact of varying lidar measurement and data processing techniques in evaluating cirrus cloud and aerosol direct radiative effects

et al. 2018

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Abstract. In the past 2 decades, ground-based lidar networks have drastically increased in scope and relevance, thanks primarily to the advent of lidar observations from space and their need for validation. Lidar observations of aerosol and cloud geometrical, optical and microphysical atmospheric properties are subsequently used to evaluate their direct radiative effects on climate. However, the retrievals are strongly dependent on the lidar instrument measurement technique and subsequent data processing methodologies. In this paper, we evaluate the discrepancies between the use of Raman and elastic lidar measurement techniques and corresponding data processing methods for two aerosol layers in the free troposphere and for two cirrus clouds with different optical depths. Results show that the different lidar techniques are responsible for discrepancies in the model-derived direct radiative effects for biomass burning (0.05 W m−2 at surface and 0.007 W m−2 at top of the atmosphere) and dust aerosol layers (0.7 W m−2 at surface and 0.85 W m−2 at top of the atmosphere). Data processing is further responsible for discrepancies in both thin (0.55 W m−2 at surface and 2.7 W m−2 at top of the atmosphere) and opaque (7.7 W m−2 at surface and 11.8 W m−2 at top of the atmosphere) cirrus clouds. Direct radiative effect discrepancies can be attributed to the larger variability of the lidar ratio for aerosols (20–150 sr) than for clouds (20–35 sr). For this reason, the influence of the applied lidar technique plays a more fundamental role in aerosol monitoring because the lidar ratio must be retrieved with relatively high accuracy. In contrast, for cirrus clouds, with the lidar ratio being much less variable, the data processing is critical because smoothing it modifies the aerosol and cloud vertically resolved extinction profile that is used as input to compute direct radiative effect calculations.

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Technical note: Fu–Liou–Gu and Corti–Peter model performance evaluation for radiative retrievals from cirrus clouds

Cited by 18 publications

References 31 publications

Two-dimensional mineral dust radiative effect calculations from CALIPSO observations over Europe

Two-dimensional mineral dust radiative effect calculations from CALIPSO observations over Europe

Vertically Resolved Precipitation Intensity Retrieved through a Synergy between the Ground-Based NASA MPLNET Lidar Network Measurements, Surface Disdrometer Datasets and an Analytical Model Solution

Impact of varying lidar measurement and data processing techniques in evaluating cirrus cloud and aerosol direct radiative effects

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