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Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements

CITE Title : Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements Personal Author(s) : McBride, Brent A.;Martins, J. Vanderlei;Barbosa, Henrique M. J.;Birmingham, William;Remer, Lorraine A.; Published Date : 2020 Source : Atmospheric Measurement Techniques, 13(4), 1777-1796 DOI : https://doi.org/10.5194/amt-13-1777-2020 Journal Title : Atmospheric Measurement Techniques McBride, Brent A. et al. (2020). Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements. 13(4). https://doi.org/10.5194/amt-13-1777-2020 McBride, Brent A. et al. "Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements" 13, no. 4 (2020), https://doi.org/10.5194/amt-13-1777-2020 McBride, Brent A. et al. "Spatial distribution of cloud droplet size properties from Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) measurements" vol. 13, no. 4, 2020, https://doi.org/10.5194/amt-13-1777-2020 Export RIS Citation Information.

:

McBride, Brent A. ;

Martins, J. Vanderlei

2020 | Atmospheric Measurement Techniques, 13(4), 1777-1796

:

The global variability of clouds and their interactions with aerosol and radiation make them one of our largest sources of uncertainty related to glob...
emerging results from SPARTAN

CITE Title : emerging results from SPARTAN Personal Author(s) : Snider, Graydon;Weagle, Crystal L.;Murdymootoo, Kalaivani K.;Ring, Amanda;Ritchie, Yvonne;Stone, Emily;Walsh, Ainsley;Akoshile, Clement;Anh, Nguyen Xuan;Balasubramanian, Rajasekhar;Brook, Jeff;Qonitan, Fatimah D.;Dong, Jinlu;Griffith, Derek;He, Kebin;Holben, Brent N.;Kahn, Ralph;Lagrosas, Nofel;Lestari, Puji;Ma, Zongwei;Misra, Amit;Norford, Leslie K.;Quel, Eduardo J.;Salam, Abdus;Schichtel, Bret;Segev, Lior;Tripathi, Sachchida;Wang, Chien;Yu, Chao;Zhang, Qiang;Zhang, Yuxuan;Brauer, Michael;Cohen, Aaron;Gibson, Mark D.;Liu, Yang;Martins, J. Vanderlei;Rudich, Yinon;Martin, Randall V.; Published Date : 2016 Source : Atmospheric Chemistry and Physics, 16(15), 9629-9653 DOI : https://doi.org/10.5194/acp-16-9629-2016 Journal Title : Atmospheric Chemistry and Physics Snider, Graydon et al. (2016). emerging results from SPARTAN. 16(15). https://doi.org/10.5194/acp-16-9629-2016 Snider, Graydon et al. "emerging results from SPARTAN" 16, no. 15 (2016), https://doi.org/10.5194/acp-16-9629-2016 Snider, Graydon et al. "emerging results from SPARTAN" vol. 16, no. 15, 2016, https://doi.org/10.5194/acp-16-9629-2016 Export RIS Citation Information.

:

Snider, Graydon ;

Weagle, Crystal L.

2016 | Atmospheric Chemistry and Physics, 16(15), 9629-9653

:

The Surface PARTiculate mAtter Network (SPARTAN) is a long-term project that includes characterization of chemical and physical attributes of aerosols...
Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space

CITE Title : Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space Personal Author(s) : Xu, Xiaoguang;Wang, Jun;Wang, Yi;Zeng, Jing;Torres, Omar;Reid, Jeffrey S.;Miller, Steven D.;Martins, J. Vanderlei;Remer, Lorraine A.; Published Date : 2019 Source : Atmospheric Measurement Techniques, 12(6), 3269-3288 DOI : https://doi.org/10.5194/amt-12-3269-2019 Journal Title : Atmospheric Measurement Techniques Xu, Xiaoguang et al. (2019). Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space. 12(6). https://doi.org/10.5194/amt-12-3269-2019 Xu, Xiaoguang et al. "Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space" 12, no. 6 (2019), https://doi.org/10.5194/amt-12-3269-2019 Xu, Xiaoguang et al. "Detecting layer height of smoke aerosols over vegetated land and water surfaces via oxygen absorption bands: hourly results from EPIC/DSCOVR in deep space" vol. 12, no. 6, 2019, https://doi.org/10.5194/amt-12-3269-2019 Export RIS Citation Information.

:

Xu, Xiaoguang

;

Wang, Jun

2019 | Atmospheric Measurement Techniques, 12(6), 3269-3288

:

We present an algorithm for retrieving aerosol layer height (ALH) and aerosol optical depth (AOD) for smoke over vegetated land and water surfaces fro...
SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses

CITE Title : SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses Personal Author(s) : Kahn, Ralph A.;Berkoff, Tim A.;Brock, Charles;Chen, Gao;Ferrare, Richard A.;Ghan, Steven;Hansico, Thomas F.;Hegg, Dean A.;Martins, J. Vanderlei;McNaughton, Cameron S.;Murphy, Daniel M.;Ogren, John A.;Penner, Joyce E.;Pilewskie, Peter;Seinfeld, John H.;Worsnop, Douglas R.; Published Date : 2017 Source : Bulletin of the American Meteorological Society, 98(10), 2215-2228. DOI : https://doi.org/10.1175/bams-d-16-0003.1 Journal Title : Bulletin of the American Meteorological Society Kahn, Ralph A. et al. (2017). SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses. 98(10). https://doi.org/10.1175/bams-d-16-0003.1 Kahn, Ralph A. et al. "SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses" 98, no. 10 (2017), https://doi.org/10.1175/bams-d-16-0003.1 Kahn, Ralph A. et al. "SAM-CAAM: A Concept for Acquiring Systematic Aircraft Measurements to Characterize Aerosol Air Masses" vol. 98, no. 10, 2017, https://doi.org/10.1175/bams-d-16-0003.1 Export RIS Citation Information.

:

Kahn, Ralph A. ;

Berkoff, Tim A.

2017 | Bulletin of the American Meteorological Society, 98(10), 2215-2228.

:

A modest operational program of systematic aircraft measurements can resolve key satellite aerosol data record limitations. Satellite observations pro...
Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument

CITE Title : Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument Personal Author(s) : McBride, Brent A.;Martins, J. Vanderlei;Cieslak, J. Dominik;Fernandez-Borda, Roberto;Puthukkudy, Anin;Xu, Xiaoguang;Sienkiewicz, Noah;Cairns, Brian;Barbosa, Henrique M. J.; Published Date : 2024 Source : Atmospheric Measurement Techniques, 17(19), 5709-5729 DOI : https://doi.org/10.5194/amt-17-5709-2024 Journal Title : Atmospheric Measurement Techniques McBride, Brent A. et al. (2024). Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument. 17(19). https://doi.org/10.5194/amt-17-5709-2024 McBride, Brent A. et al. "Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument" 17, no. 19 (2024), https://doi.org/10.5194/amt-17-5709-2024 McBride, Brent A. et al. "Pre-launch calibration and validation of the Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) instrument" vol. 17, no. 19, 2024, https://doi.org/10.5194/amt-17-5709-2024 Export RIS Citation Information.

:

McBride, Brent A.

;

Martins, J. Vanderlei

2024 | Atmospheric Measurement Techniques, 17(19), 5709-5729

:

The Airborne Hyper-Angular Rainbow Polarimeter (AirHARP) is a new imaging polarimeter instrument capable of sampling a single Earth target from up to ...