Closing the gap: an algorithmic approach to reconciling in-situ and remotely sensed aerosol properties

Schlosser, Joseph S.; Dmitrovic, Sanja; Bennett, Ryan; Cairns, Brian; Chen, Gao; Diskin, Glenn S.; Ferrare, Richard A.; Hair, Johnathan W.; Jones, Michael A.; Reid, Jeffrey S.; Shingler, Taylor J.; Shook, Michael A.; Sorooshian, Armin; Thornhill, Kenneth L.; Ziemba, Luke D.; Stamnes, Snorre

doi:10.5194/amt-18-7187-2025

Articles | Volume 18, issue 23

https://doi.org/10.5194/amt-18-7187-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/amt-18-7187-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 23

Research article

|

02 Dec 2025

Research article |

| 02 Dec 2025

Closing the gap: an algorithmic approach to reconciling in-situ and remotely sensed aerosol properties

Joseph S. Schlosser, Sanja Dmitrovic, Ryan Bennett, Brian Cairns, Gao Chen, Glenn S. Diskin, Richard A. Ferrare, Johnathan W. Hair, Michael A. Jones, Jeffrey S. Reid, Taylor J. Shingler, Michael A. Shook, Armin Sorooshian, Kenneth L. Thornhill, Luke D. Ziemba, and Snorre Stamnes

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Total article views: 6,498 (including HTML, PDF, and XML)

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PDF: 984
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BibTeX: 259
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Views and downloads (calculated since 30 Oct 2024)

Month	HTML	PDF	XML	Total
Oct 2024	114	12	4	130
Nov 2024	186	46	10	242
Dec 2024	52	26	2	80
Jan 2025	48	16	2	66
Feb 2025	90	10	82	182
Mar 2025	46	12	114	172
Apr 2025	102	30	94	226
May 2025	94	16	102	212
Jun 2025	84	24	60	168
Jul 2025	34	6	0	40
Aug 2025	262	10	0	272
Sep 2025	1,308	16	6	1,330
Oct 2025	96	16	4	116
Nov 2025	80	32	10	122
Dec 2025	468	166	31	665
Jan 2026	500	61	20	581
Feb 2026	140	55	9	204
Mar 2026	151	70	11	232
Apr 2026	154	46	8	208
May 2026	204	30	10	244
Jun 2026	19	10	4	33
Jul 2026	84	73	8	165
Aug 2026	32	30	17	79
Sep 2026	200	65	57	322
Oct 2026	160	81	34	275
Nov 2026	99	25	8	132

Cumulative views and downloads (calculated since 30 Oct 2024)

Month	HTML	PDF	XML	Total
Oct 2024	114	12	4	130
Nov 2024	186	46	10	242
Dec 2024	52	26	2	80
Jan 2025	48	16	2	66
Feb 2025	90	10	82	182
Mar 2025	46	12	114	172
Apr 2025	102	30	94	226
May 2025	94	16	102	212
Jun 2025	84	24	60	168
Jul 2025	34	6	0	40
Aug 2025	262	10	0	272
Sep 2025	1,308	16	6	1,330
Oct 2025	96	16	4	116
Nov 2025	80	32	10	122
Dec 2025	468	166	31	665
Jan 2026	500	61	20	581
Feb 2026	140	55	9	204
Mar 2026	151	70	11	232
Apr 2026	154	46	8	208
May 2026	204	30	10	244
Jun 2026	19	10	4	33
Jul 2026	84	73	8	165
Aug 2026	32	30	17	79
Sep 2026	200	65	57	322
Oct 2026	160	81	34	275
Nov 2026	99	25	8	132

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Total article views: 6,498 (including HTML, PDF, and XML) Thereof 6,383 with geography defined and 115 with unknown origin.

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Short summary

This study focuses on aerosol particles, which critically influence the atmosphere by scattering and absorbing light. To understand these interactions, airborne field campaigns deploy instruments that can measure these particles’ directly or indirectly via remote sensing. We introduce the In Situ Aerosol Retrieval Algorithm (ISARA) to ensure consistency between aerosol measurements and show that the two data sets generally align, with some deviation caused by the presence of larger particles.


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