Articles | Volume 11, issue 3
https://doi.org/10.5194/amt-11-1639-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-1639-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Mar 2018
Research article |
| 26 Mar 2018
| 26 Mar 2018
Impact of varying lidar measurement and data processing techniques in evaluating cirrus cloud and aerosol direct radiative effects
CNR-IMAA, Istituto di Metodologie Ambientali, Tito Scalo (PZ), Italy
NASA GSFC-JCET, Code 612, Greenbelt, MD, USA
Fabio Madonna
CNR-IMAA, Istituto di Metodologie Ambientali, Tito Scalo (PZ), Italy
Marco Rosoldi
CNR-IMAA, Istituto di Metodologie Ambientali, Tito Scalo (PZ), Italy
James R. Campbell
Naval Research Laboratory, Monterey, CA, USA
Ellsworth J. Welton
NASA GSFC, Code 612, Greenbelt, MD, USA
Jasper R. Lewis
NASA GSFC-JCET, Code 612, Greenbelt, MD, USA
University of California Los Angeles (UCLA), Los Angeles, CA, USA
Gelsomina Pappalardo
CNR-IMAA, Istituto di Metodologie Ambientali, Tito Scalo (PZ), Italy
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- Evaluation of Different WRF Parametrizations over the Region of Iași with Remote Sensing Techniques I. Roșu et al. 10.3390/atmos10090559
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- Accuracy calculation for lidar ratio and aerosol size distribution by dual-wavelength lidar N. Cao et al. 10.1007/s00339-019-2819-y
- Spatial and temporal gradients in the rate of dust deposition and aerosol optical thickness in southwestern Iran M. Foroushani et al. 10.1007/s40333-020-0079-5
- Investigation of Aerosol Properties and Structures in Two Representative Meteorological Situations over the Vipava Valley Using Polarization Raman LiDAR L. Wang et al. 10.3390/atmos10030128
- Two-dimensional mineral dust radiative effect calculations from CALIPSO observations over Europe M. Granados-Muñoz et al. 10.5194/acp-19-13157-2019
- Estimation of background PM2.5 concentrations for an air-polluted environment S. Wang et al. 10.1016/j.atmosres.2019.104636
- Evaluation and Improvement of Lidar Performance Based on Temporal and Spatial Variance Calculation F. Gao et al. 10.3390/app9091786
- Impact of mineral dust on shortwave and longwave radiation: evaluation of different vertically resolved parameterizations in 1-D radiative transfer computations M. Granados-Muñoz et al. 10.5194/acp-19-523-2019
- Monsoon Season Quantitative Assessment of Biomass Burning Clear-Sky Aerosol Radiative Effect at Surface by Ground-Based Lidar Observations in Pulau Pinang, Malaysia in 2014 S. Lolli et al. 10.3390/rs11222660
- Vertical Structures of Dust Aerosols over East Asia Based on CALIPSO Retrievals D. Liu et al. 10.3390/rs11060701
- Overview of the New Version 3 NASA Micro-Pulse Lidar Network (MPLNET) Automatic Precipitation Detection Algorithm S. Lolli et al. 10.3390/rs12010071
- A global view on stratospheric ice clouds: assessment of processes related to their occurrence based on satellite observations L. Zou et al. 10.5194/acp-22-6677-2022
- Fast Reproducible Pansharpening Based on Instrument and Acquisition Modeling: AWLP Revisited G. Vivone et al. 10.3390/rs11192315
- Synergetic Aerosol Layer Observation After the 2015 Calbuco Volcanic Eruption Event F. Lopes et al. 10.3390/rs11020195
- 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 S. Lolli et al. 10.3390/rs10071102
- Fully Automated Light Precipitation Detection from MPLNET and EARLINET Network Lidar Measurements S. Lolli et al. 10.1051/epjconf/202023705006
- Multispectral Pansharpening with Radiative Transfer-Based Detail-Injection Modeling for Preserving Changes in Vegetation Cover A. Garzelli et al. 10.3390/rs10081308
- Optimal Estimation Retrieval of Aerosol Fine-Mode Fraction from Ground-Based Sky Light Measurements . Zheng et al. 10.3390/atmos10040196
- Typhoon-associated air quality over the Guangdong–Hong Kong–Macao Greater Bay Area, China: machine-learning-based prediction and assessment Y. Chen et al. 10.5194/amt-16-1279-2023
- A multiwavelength numerical model in support of quantitative retrievals of aerosol properties from automated lidar ceilometers and test applications for AOT and PM<sub>10</sub> estimation D. Dionisi et al. 10.5194/amt-11-6013-2018
- An extended lidar-based cirrus cloud retrieval scheme: first application over an Arctic site K. Nakoudi et al. 10.1364/OE.414770
Latest update: 17 Apr 2024
Short summary
We evaluate the comparability of aerosol and cloud vertically resolved optical properties obtained with varying lidar profiling techniques and/or data processing methodologies. The discrepancies are assessed by evaluating climate-sensitive direct radiative effects, computed by radiative transfer code means. Results show important discrepancies up to 0.8 W m−2 due to lidar data smoothing in cirrus clouds and a 0.05 W m−2 difference between Raman and elastic lidar technique on a dust layer aloft.
We evaluate the comparability of aerosol and cloud vertically resolved optical properties...
