Articles | Volume 8, issue 9
https://doi.org/10.5194/amt-8-3647-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-8-3647-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Use of the CALIOP vertical feature mask for evaluating global aerosol models
E. P. Nowottnick
CORRESPONDING AUTHOR
GESTAR/Universities Space Research Association, Columbia, MD, 21046, USA
Atmospheric Chemistry and Dynamics Laboratory, Code 614, NASA GSFC, Greenbelt, MD, 20771, USA
P. R. Colarco
Atmospheric Chemistry and Dynamics Laboratory, Code 614, NASA GSFC, Greenbelt, MD, 20771, USA
E. J. Welton
Mesoscale Atmospheric Processes Laboratory, Code 612, NASA GSFC, Greenbelt, MD, 20771, USA
A. da Silva
Global Modeling and Assimilation Office, Code 610.1, NASA GSFC, Greenbelt, MD, 20771, USA
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- The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies V. Buchard et al. 10.1175/JCLI-D-16-0613.1
- Study on the Parameters of Ice Clouds Based on 1.5 µm Micropulse Polarization Lidar Y. Li et al. 10.3390/rs14205162
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- Total dust deposition flux during precipitation in Toyama, Japan, in the spring of 2009: A sensitivity analysis with the NASA GEOS-5 Model T. Yasunari et al. 10.1016/j.atmosres.2015.08.005
34 citations as recorded by crossref.
- Differences in the Evolution of Pyrocumulonimbus and Volcanic Stratospheric Plumes as Observed by CATS and CALIOP Space-Based Lidars K. Christian et al. 10.3390/atmos11101035
- Identifying chemical aerosol signatures using optical suborbital observations: how much can optical properties tell us about aerosol composition? M. Kacenelenbogen et al. 10.5194/acp-22-3713-2022
- The CALIPSO version 4 automated aerosol classification and lidar ratio selection algorithm M. Kim et al. 10.5194/amt-11-6107-2018
- An improved dust identification index (IDII) based on MODIS observation A. Zandkarimi et al. 10.1080/01431161.2020.1770366
- Identifying natural dust source regions over the Middle-East and North-Africa: Estimation of dust emission potential I. Gherboudj et al. 10.1016/j.earscirev.2016.12.010
- Spatio-temporal monitoring by ground-based and air- and space-borne lidars of a moderate Saharan dust event affecting southern Europe in June 2013 in the framework of the ADRIMED/ChArMEx campaign R. Barragan et al. 10.1007/s11869-016-0447-7
- Effects of Particle Nonsphericity on Dust Optical Properties in a Forecast System: Implications for Model‐Observation Comparison G. Hoshyaripour et al. 10.1029/2018JD030228
- The MERRA-2 Aerosol Reanalysis, 1980 Onward. Part II: Evaluation and Case Studies V. Buchard et al. 10.1175/JCLI-D-16-0613.1
- Study on the Parameters of Ice Clouds Based on 1.5 µm Micropulse Polarization Lidar Y. Li et al. 10.3390/rs14205162
- Aerosol Detection from the Cloud–Aerosol Transport System on the International Space Station: Algorithm Overview and Implications for Diurnal Sampling E. Nowottnick et al. 10.3390/atmos13091439
- Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data J. Yorks et al. 10.3390/atmos12050606
- Characterization of smoke and dust episode over West Africa: comparison of MERRA-2 modeling with multiwavelength Mie–Raman lidar observations I. Veselovskii et al. 10.5194/amt-11-949-2018
- Regional sulfate drives long-term rise in AOD over megacity Kolkata, India P. Rawat et al. 10.1016/j.atmosenv.2019.04.031
- Long-term variation of cloud droplet number concentrations from space-based Lidar J. Li et al. 10.1016/j.rse.2018.05.011
- Dust Impacts on the 2012 Hurricane Nadine Track during the NASA HS3 Field Campaign E. Nowottnick et al. 10.1175/JAS-D-17-0237.1
- Aerosol atmospheric rivers: climatology, event characteristics, and detection algorithm sensitivities S. Chakraborty et al. 10.5194/acp-22-8175-2022
- Observational constraint on cloud susceptibility weakened by aerosol retrieval limitations P. Ma et al. 10.1038/s41467-018-05028-4
- Novel aerosol extinction coefficients and lidar ratios over the ocean from CALIPSO–CloudSat: evaluation and global statistics D. Painemal et al. 10.5194/amt-12-2201-2019
- Aerosol climatology, variability, and trends over the Indo-Gangetic Plain in CMIP6 models K. Shukla et al. 10.1016/j.pce.2024.103693
- Satellite-Observed Four-Dimensional Spatiotemporal Characteristics of Maritime Aerosol Types over the Coastal Waters of the Guangdong–Hong Kong–Macao Greater Bay Area and the Northern South China Sea Q. Ma et al. 10.3390/rs14215464
- Atmospheric scene classification using CALIPSO spaceborne lidar measurements in the Middle East and North Africa (MENA), and India F. Brakhasi et al. 10.1016/j.jag.2018.07.017
- Impact of aerosols on precipitation from deep convective clouds in eastern China M. Jiang et al. 10.1002/2015JD024246
- Shortwave direct radiative effects of above-cloud aerosols over global oceans derived from 8 years of CALIOP and MODIS observations Z. Zhang et al. 10.5194/acp-16-2877-2016
- Aerosol Layer Height With Enhanced Spectral Coverage Achieved by Synergy Between VIIRS and OMPS-NM Measurements J. Lee et al. 10.1109/LGRS.2020.2992099
- Mediterranean intense desert dust outbreaks and their vertical structure based on remote sensing data A. Gkikas et al. 10.5194/acp-16-8609-2016
- Characterization of dust aerosols from ALADIN and CALIOP measurements R. Song et al. 10.5194/amt-17-2521-2024
- Evaluation of the surface PM2.5 in Version 1 of the NASA MERRA Aerosol Reanalysis over the United States V. Buchard et al. 10.1016/j.atmosenv.2015.11.004
- Investigating aerosol vertical distribution using CALIPSO time series over the Middle East and North Africa (MENA), Europe, and India: A BFAST-based gradual and abrupt change detection F. Brakhasi et al. 10.1016/j.rse.2021.112619
- AOD distributions and trends of major aerosol species over a selection of the world's most populated cities based on the 1st version of NASA's MERRA Aerosol Reanalysis S. Provençal et al. 10.1016/j.uclim.2017.04.001
- The Optical Autocovariance Wind Lidar. Part II: Green OAWL (GrOAWL) Airborne Performance and Validation S. Baidar et al. 10.1175/JTECH-D-18-0025.1
- Retrievals of aerosol microphysics from simulations of spaceborne multiwavelength lidar measurements D. Whiteman et al. 10.1016/j.jqsrt.2017.09.009
- CALIPSO climatological products: evaluation and suggestions from EARLINET N. Papagiannopoulos et al. 10.5194/acp-16-2341-2016
- Creating Aerosol Types from CHemistry (CATCH): A New Algorithm to Extend the Link Between Remote Sensing and Models K. Dawson et al. 10.1002/2017JD026913
- Evaluation of MODIS and two reanalysis aerosol optical depth products over AERONET sites H. Shi et al. 10.1016/j.atmosres.2019.01.009
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