Applying deep learning to NASA MODIS data to create a community record of marine low-cloud mesoscale morphology

Yuan, Tianle; Song, Hua; Wood, Robert; Mohrmann, Johannes; Meyer, Kerry; Oreopoulos, Lazaros; Platnick, Steven

doi:https://doi.org/10.5194/amt-13-6989-2020

Articles | Volume 13, issue 12

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Articles | Volume 13, issue 12

https://doi.org/10.5194/amt-13-6989-2020

Articles | Volume 13, issue 12

Article
Peer review
Metrics
Related articles

Research article

21 Dec 2020

Research article |

| 21 Dec 2020

Applying deep learning to NASA MODIS data to create a community record of marine low-cloud mesoscale morphology

Tianle Yuan, Hua Song, Robert Wood, Johannes Mohrmann, Kerry Meyer, Lazaros Oreopoulos, and Steven Platnick

Tianle Yuan

CORRESPONDING AUTHOR

tianle.yuan@nasa.gov

https://orcid.org/0000-0002-2187-3017

Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, Maryland, USA

Hua Song

https://orcid.org/0000-0003-2499-0566

Science Systems and Applications, Inc., Lanham, Maryland, USA

Robert Wood

https://orcid.org/0000-0002-1401-3828

Department of Atmospheric Sciences, University of Washington, Seattle, Washington, USA

Johannes Mohrmann

https://orcid.org/0000-0002-1025-5192

Department of Atmospheric Sciences, University of Washington, Seattle, Washington, USA

Kerry Meyer

https://orcid.org/0000-0001-5361-9200

Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Lazaros Oreopoulos

https://orcid.org/0000-0001-6061-6905

Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

Steven Platnick

Earth Science Division, NASA Goddard Space Flight Center, Greenbelt, Maryland, USA

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PDF: 875
XML: 96
Total: 2,702
BibTeX: 94
EndNote: 89

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Cumulative views and downloads (calculated since 31 Mar 2020)

Total article views: 1,976 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,362	533	81	1,976	72	64

HTML: 1,362
PDF: 533
XML: 81
Total: 1,976
BibTeX: 72
EndNote: 64

Views and downloads (calculated since 21 Dec 2020)

Month	HTML	PDF	XML	Total
Dec 2020	160	41	1	202
Jan 2021	100	29	3	132
Feb 2021	46	15	1	62
Mar 2021	42	16	0	58
Apr 2021	25	7	1	33
May 2021	25	10	1	36
Jun 2021	15	7	0	22
Jul 2021	21	9	1	31
Aug 2021	19	11	1	31
Sep 2021	18	12	0	30
Oct 2021	17	37	1	55
Nov 2021	15	26	0	41
Dec 2021	25	5	1	31
Jan 2022	24	9	0	33
Feb 2022	16	4	1	21
Mar 2022	13	8	1	22
Apr 2022	13	7	1	21
May 2022	16	6	0	22
Jun 2022	16	1	1	18
Jul 2022	8	1	0	9
Aug 2022	24	7	2	33
Sep 2022	11	7	0	18
Oct 2022	13	5	0	18
Nov 2022	13	31	0	44
Dec 2022	16	9	2	27
Jan 2023	11	14	1	26
Feb 2023	24	11	4	39
Mar 2023	51	11	1	63
Apr 2023	29	4	1	34
May 2023	14	11	0	25
Jun 2023	23	11	1	35
Jul 2023	16	7	1	24
Aug 2023	12	12	2	26
Sep 2023	22	10	4	36
Oct 2023	20	10	5	35
Nov 2023	18	4	3	25
Dec 2023	16	3	1	20
Jan 2024	16	8	0	24
Feb 2024	14	7	2	23
Mar 2024	19	8	1	28
Apr 2024	21	13	4	38
May 2024	44	8	5	57
Jun 2024	56	11	3	70
Jul 2024	57	4	5	66
Aug 2024	34	6	4	44
Sep 2024	19	5	0	24
Oct 2024	19	10	0	29
Nov 2024	12	1	13
Dec 2024	17	3	0	20
Jan 2025	26	7	2	35
Feb 2025	29	8	2	39
Mar 2025	12	7	9	28

Cumulative views and downloads (calculated since 21 Dec 2020)

Month	HTML	PDF	XML	Total
Dec 2020	160	41	1	202
Jan 2021	100	29	3	132
Feb 2021	46	15	1	62
Mar 2021	42	16	0	58
Apr 2021	25	7	1	33
May 2021	25	10	1	36
Jun 2021	15	7	0	22
Jul 2021	21	9	1	31
Aug 2021	19	11	1	31
Sep 2021	18	12	0	30
Oct 2021	17	37	1	55
Nov 2021	15	26	0	41
Dec 2021	25	5	1	31
Jan 2022	24	9	0	33
Feb 2022	16	4	1	21
Mar 2022	13	8	1	22
Apr 2022	13	7	1	21
May 2022	16	6	0	22
Jun 2022	16	1	1	18
Jul 2022	8	1	0	9
Aug 2022	24	7	2	33
Sep 2022	11	7	0	18
Oct 2022	13	5	0	18
Nov 2022	13	31	0	44
Dec 2022	16	9	2	27
Jan 2023	11	14	1	26
Feb 2023	24	11	4	39
Mar 2023	51	11	1	63
Apr 2023	29	4	1	34
May 2023	14	11	0	25
Jun 2023	23	11	1	35
Jul 2023	16	7	1	24
Aug 2023	12	12	2	26
Sep 2023	22	10	4	36
Oct 2023	20	10	5	35
Nov 2023	18	4	3	25
Dec 2023	16	3	1	20
Jan 2024	16	8	0	24
Feb 2024	14	7	2	23
Mar 2024	19	8	1	28
Apr 2024	21	13	4	38
May 2024	44	8	5	57
Jun 2024	56	11	3	70
Jul 2024	57	4	5	66
Aug 2024	34	6	4	44
Sep 2024	19	5	0	24
Oct 2024	19	10	0	29
Nov 2024	12	1	13
Dec 2024	17	3	0	20
Jan 2025	26	7	2	35
Feb 2025	29	8	2	39
Mar 2025	12	7	9	28

Total article views: 726 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
369	342	15	726	22	25

HTML: 369
PDF: 342
XML: 15
Total: 726
BibTeX: 22
EndNote: 25

Views and downloads (calculated since 31 Mar 2020)

Month	HTML	PDF	XML	Total
Dec 2020	160	41	1	202
Jan 2021	100	29	3	132
Feb 2021	46	15	1	62
Mar 2021	42	16	0	58
Apr 2021	25	7	1	33
May 2021	25	10	1	36
Jun 2021	15	7	0	22
Jul 2021	21	9	1	31
Aug 2021	19	11	1	31
Sep 2021	18	12	0	30
Oct 2021	17	37	1	55
Nov 2021	15	26	0	41
Dec 2021	25	5	1	31
Jan 2022	24	9	0	33
Feb 2022	16	4	1	21
Mar 2022	13	8	1	22
Apr 2022	13	7	1	21
May 2022	16	6	0	22
Jun 2022	16	1	1	18
Jul 2022	8	1	0	9
Aug 2022	24	7	2	33
Sep 2022	11	7	0	18
Oct 2022	13	5	0	18
Nov 2022	13	31	0	44
Dec 2022	16	9	2	27
Jan 2023	11	14	1	26
Feb 2023	24	11	4	39
Mar 2023	51	11	1	63
Apr 2023	29	4	1	34
May 2023	14	11	0	25
Jun 2023	23	11	1	35
Jul 2023	16	7	1	24
Aug 2023	12	12	2	26
Sep 2023	22	10	4	36
Oct 2023	20	10	5	35
Nov 2023	18	4	3	25
Dec 2023	16	3	1	20
Jan 2024	16	8	0	24
Feb 2024	14	7	2	23
Mar 2024	19	8	1	28
Apr 2024	21	13	4	38
May 2024	44	8	5	57
Jun 2024	56	11	3	70
Jul 2024	57	4	5	66
Aug 2024	34	6	4	44
Sep 2024	19	5	0	24
Oct 2024	19	10	0	29
Nov 2024	12	1	13
Dec 2024	17	3	0	20
Jan 2025	26	7	2	35
Feb 2025	29	8	2	39
Mar 2025	12	7	9	28

Cumulative views and downloads (calculated since 31 Mar 2020)

Month	HTML	PDF	XML	Total
Dec 2020	160	41	1	202
Jan 2021	100	29	3	132
Feb 2021	46	15	1	62
Mar 2021	42	16	0	58
Apr 2021	25	7	1	33
May 2021	25	10	1	36
Jun 2021	15	7	0	22
Jul 2021	21	9	1	31
Aug 2021	19	11	1	31
Sep 2021	18	12	0	30
Oct 2021	17	37	1	55
Nov 2021	15	26	0	41
Dec 2021	25	5	1	31
Jan 2022	24	9	0	33
Feb 2022	16	4	1	21
Mar 2022	13	8	1	22
Apr 2022	13	7	1	21
May 2022	16	6	0	22
Jun 2022	16	1	1	18
Jul 2022	8	1	0	9
Aug 2022	24	7	2	33
Sep 2022	11	7	0	18
Oct 2022	13	5	0	18
Nov 2022	13	31	0	44
Dec 2022	16	9	2	27
Jan 2023	11	14	1	26
Feb 2023	24	11	4	39
Mar 2023	51	11	1	63
Apr 2023	29	4	1	34
May 2023	14	11	0	25
Jun 2023	23	11	1	35
Jul 2023	16	7	1	24
Aug 2023	12	12	2	26
Sep 2023	22	10	4	36
Oct 2023	20	10	5	35
Nov 2023	18	4	3	25
Dec 2023	16	3	1	20
Jan 2024	16	8	0	24
Feb 2024	14	7	2	23
Mar 2024	19	8	1	28
Apr 2024	21	13	4	38
May 2024	44	8	5	57
Jun 2024	56	11	3	70
Jul 2024	57	4	5	66
Aug 2024	34	6	4	44
Sep 2024	19	5	0	24
Oct 2024	19	10	0	29
Nov 2024	12	1	13
Dec 2024	17	3	0	20
Jan 2025	26	7	2	35
Feb 2025	29	8	2	39
Mar 2025	12	7	9	28

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Total article views: 2,702 (including HTML, PDF, and XML) Thereof 2,549 with geography defined and 153 with unknown origin.

Total article views: 1,976 (including HTML, PDF, and XML) Thereof 1,885 with geography defined and 91 with unknown origin.

Total article views: 726 (including HTML, PDF, and XML) Thereof 664 with geography defined and 62 with unknown origin.

Country	#	Views	%
United States of America	1	1194	44
China	2	322	11
Germany	3	214	7
United Kingdom	4	102	3
Ireland	5	61	2

Country	#	Views	%
United States of America	1	854	43
China	2	305	15
Germany	3	110	5
United Kingdom	4	68	3
Ireland	5	56	2

Country	#	Views	%
United States of America	1	340	46
Germany	2	104	14
United Kingdom	3	34	4
Russia	4	22	3
Canada	5	19	2


Total:	0
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1194


Total:	0
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854


Total:	0
HTML:	0
PDF:	0
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On the relationship between mesoscale cellular convection and meteorological forcing: comparing the Southern Ocean against the North Pacific F. Lang et al. 10.5194/acp-24-1451-2024
A survey of radiative and physical properties of North Atlantic mesoscale cloud morphologies from multiple identification methodologies R. Eastman et al. 10.5194/acp-24-6613-2024
Identifying meteorological influences on marine low-cloud mesoscale morphology using satellite classifications J. Mohrmann et al. 10.5194/acp-21-9629-2021
The Role of Mesoscale Cloud Morphology in the Shortwave Cloud Feedback I. McCoy et al. 10.1029/2022GL101042
Cloud Mesoscale Cellular Classification and Diurnal Cycle Using a Convolutional Neural Network (CNN) M. Segal Rozenhaimer et al. 10.3390/rs15061607
Environmental and Internal Controls on Lagrangian Transitions from Closed Cell Mesoscale Cellular Convection over Subtropical Oceans R. Eastman et al. 10.1175/JAS-D-20-0277.1
Impacts of Mesoscale Cloud Organization on Aerosol‐Induced Cloud Water Adjustment and Cloud Brightness X. Zhou & G. Feingold 10.1029/2023GL103417
A climatology of open and closed mesoscale cellular convection over the Southern Ocean derived from Himawari-8 observations F. Lang et al. 10.5194/acp-22-2135-2022
AICCA: AI-Driven Cloud Classification Atlas T. Kurihana et al. 10.3390/rs14225690

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The incorporation of the Tripleclouds concept into the δ-Eddington two-stream radiation scheme: solver characterization and its application to shallow cumulus clouds N. Črnivec & B. Mayer 10.5194/acp-20-10733-2020

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Short summary

We use deep transfer learning techniques to classify satellite cloud images into different morphology types. It achieves the state-of-the-art results and can automatically process a large amount of satellite data. The algorithm will help low-cloud researchers to better understand their mesoscale organizations.

We use deep transfer learning techniques to classify satellite cloud images into different...