Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)

Tarricone, Jack; Webb, Ryan W.; Marshall, Hans-Peter; Nolin, Anne W.; Meyer, Franz J.

doi:https://doi.org/10.5194/tc-17-1997-2023

Articles | Volume 17, issue 5

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Articles | Volume 17, issue 5

https://doi.org/10.5194/tc-17-1997-2023

Articles | Volume 17, issue 5

Article
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Peer review
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Research article

12 May 2023

Research article |

| 12 May 2023

Estimating snow accumulation and ablation with L-band interferometric synthetic aperture radar (InSAR)

Jack Tarricone, Ryan W. Webb, Hans-Peter Marshall, Anne W. Nolin, and Franz J. Meyer

Jack Tarricone

CORRESPONDING AUTHOR

jtarricone@nevada.unr.edu

https://orcid.org/0000-0001-9499-3354

Graduate Program of Hydrologic Sciences, University of Nevada, Reno, Reno, NV, USA

Department of Geography, University of Nevada, Reno, Reno, NV, USA

Ryan W. Webb

https://orcid.org/0000-0002-1565-909X

Department of Civil and Architectural Engineering and Construction Management, University of Wyoming, Laramie, WY, USA

Hans-Peter Marshall

Department of Geosciences, Boise State University, Boise, ID, USA

Anne W. Nolin

Department of Geography, University of Nevada, Reno, Reno, NV, USA

Graduate Program of Hydrologic Sciences, University of Nevada, Reno, Reno, NV, USA

Franz J. Meyer

https://orcid.org/0000-0002-2491-526X

Geophysical Institute, University of Alaska Fairbanks, Fairbanks, AK, USA

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PDF: 980
XML: 83
Total: 3,487
Supplement: 88
BibTeX: 85
EndNote: 78

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Cumulative views and downloads (calculated since 16 Nov 2022)

Total article views: 2,236 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	Supplement	BibTeX	EndNote
1,635	541	60	2,236	88	70	65

HTML: 1,635
PDF: 541
XML: 60
Total: 2,236
Supplement: 88
BibTeX: 70
EndNote: 65

Views and downloads (calculated since 12 May 2023)

Month	HTML	PDF	XML	Total
May 2023	358	95	8	461
Jun 2023	267	41	2	310
Jul 2023	69	21	1	91
Aug 2023	67	32	5	104
Sep 2023	57	39	3	99
Oct 2023	63	48	5	116
Nov 2023	34	8	1	43
Dec 2023	47	23	4	74
Jan 2024	38	14	1	53
Feb 2024	31	16	2	49
Mar 2024	35	15	1	51
Apr 2024	29	12	7	48
May 2024	32	17	8	57
Jun 2024	61	16	3	80
Jul 2024	60	35	1	96
Aug 2024	58	16	4	78
Sep 2024	43	11	1	55
Oct 2024	49	11	0	60
Nov 2024	34	10	0	44
Dec 2024	38	10	0	48
Jan 2025	30	11	0	41
Feb 2025	41	12	2	55
Mar 2025	39	11	0	50
Apr 2025	55	17	1	73

Cumulative views and downloads (calculated since 12 May 2023)

Month	HTML	PDF	XML	Total
May 2023	358	95	8	461
Jun 2023	267	41	2	310
Jul 2023	69	21	1	91
Aug 2023	67	32	5	104
Sep 2023	57	39	3	99
Oct 2023	63	48	5	116
Nov 2023	34	8	1	43
Dec 2023	47	23	4	74
Jan 2024	38	14	1	53
Feb 2024	31	16	2	49
Mar 2024	35	15	1	51
Apr 2024	29	12	7	48
May 2024	32	17	8	57
Jun 2024	61	16	3	80
Jul 2024	60	35	1	96
Aug 2024	58	16	4	78
Sep 2024	43	11	1	55
Oct 2024	49	11	0	60
Nov 2024	34	10	0	44
Dec 2024	38	10	0	48
Jan 2025	30	11	0	41
Feb 2025	41	12	2	55
Mar 2025	39	11	0	50
Apr 2025	55	17	1	73

Total article views: 1,251 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
789	439	23	1,251	15	13

HTML: 789
PDF: 439
XML: 23
Total: 1,251
BibTeX: 15
EndNote: 13

Views and downloads (calculated since 16 Nov 2022)

Month	HTML	PDF	XML	Total
May 2023	358	95	8	461
Jun 2023	267	41	2	310
Jul 2023	69	21	1	91
Aug 2023	67	32	5	104
Sep 2023	57	39	3	99
Oct 2023	63	48	5	116
Nov 2023	34	8	1	43
Dec 2023	47	23	4	74
Jan 2024	38	14	1	53
Feb 2024	31	16	2	49
Mar 2024	35	15	1	51
Apr 2024	29	12	7	48
May 2024	32	17	8	57
Jun 2024	61	16	3	80
Jul 2024	60	35	1	96
Aug 2024	58	16	4	78
Sep 2024	43	11	1	55
Oct 2024	49	11	0	60
Nov 2024	34	10	0	44
Dec 2024	38	10	0	48
Jan 2025	30	11	0	41
Feb 2025	41	12	2	55
Mar 2025	39	11	0	50
Apr 2025	55	17	1	73

Cumulative views and downloads (calculated since 16 Nov 2022)

Month	HTML	PDF	XML	Total
May 2023	358	95	8	461
Jun 2023	267	41	2	310
Jul 2023	69	21	1	91
Aug 2023	67	32	5	104
Sep 2023	57	39	3	99
Oct 2023	63	48	5	116
Nov 2023	34	8	1	43
Dec 2023	47	23	4	74
Jan 2024	38	14	1	53
Feb 2024	31	16	2	49
Mar 2024	35	15	1	51
Apr 2024	29	12	7	48
May 2024	32	17	8	57
Jun 2024	61	16	3	80
Jul 2024	60	35	1	96
Aug 2024	58	16	4	78
Sep 2024	43	11	1	55
Oct 2024	49	11	0	60
Nov 2024	34	10	0	44
Dec 2024	38	10	0	48
Jan 2025	30	11	0	41
Feb 2025	41	12	2	55
Mar 2025	39	11	0	50
Apr 2025	55	17	1	73

Viewed (geographical distribution)

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Total article views: 3,487 (including HTML, PDF, and XML) Thereof 3,350 with geography defined and 137 with unknown origin.

Total article views: 2,236 (including HTML, PDF, and XML) Thereof 2,131 with geography defined and 105 with unknown origin.

Total article views: 1,251 (including HTML, PDF, and XML) Thereof 1,219 with geography defined and 32 with unknown origin.

Country	#	Views	%
United States of America	1	1514	43
China	2	310	8
India	3	158	4
Germany	4	131	3
Canada	5	108	3

Country	#	Views	%
United States of America	1	909	40
China	2	226	10
India	3	127	5
Germany	4	78	3
Canada	5	64	2

Country	#	Views	%
United States of America	1	605	48
China	2	84	6
Germany	3	53	4
Canada	4	44	3
France	5	44	3


Total:	0
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1
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1514


Total:	0
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909


Total:	0
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605

Cited

Show all Final revised paper only Preprint only

10 citations as recorded by crossref.

Comparing InSAR Snow Water Equivalent Retrieval Using ALOS2 With In Situ Observations and SnowModel Over the Boreal Forest Area J. Jorge Ruiz et al. 10.1109/TGRS.2024.3439855
Evaluating L-band InSAR snow water equivalent retrievals with repeat ground-penetrating radar and terrestrial lidar surveys in northern Colorado R. Bonnell et al. 10.5194/tc-18-3765-2024
Remote sensing of mountain snow from space: status and recommendations S. Gascoin et al. 10.3389/feart.2024.1381323
Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites Z. Hoppinen et al. 10.5194/tc-18-5407-2024
Snow water equivalent retrieval over Idaho – Part 2: Using L-band UAVSAR repeat-pass interferometry Z. Hoppinen et al. 10.5194/tc-18-575-2024
Assessment of L-band InSAR snow estimation techniques over a shallow, heterogeneous prairie snowpack R. Palomaki & E. Sproles 10.1016/j.rse.2023.113744
Characterization of non-Gaussianity in the snow distributions of various landscapes N. Ohara et al. 10.5194/tc-18-5139-2024
Snow water equivalent retrieval over Idaho – Part 1: Using Sentinel-1 repeat-pass interferometry S. Oveisgharan et al. 10.5194/tc-18-559-2024
Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data I. Alabi et al. 10.3389/frsen.2024.1481848
Toward Dry Snow Parameter Estimation by Simultaneous Multiple Squint Differential InSAR A. Benedikter et al. 10.1109/TGRS.2024.3486328

10 citations as recorded by crossref.

Comparing InSAR Snow Water Equivalent Retrieval Using ALOS2 With In Situ Observations and SnowModel Over the Boreal Forest Area J. Jorge Ruiz et al. 10.1109/TGRS.2024.3439855
Evaluating L-band InSAR snow water equivalent retrievals with repeat ground-penetrating radar and terrestrial lidar surveys in northern Colorado R. Bonnell et al. 10.5194/tc-18-3765-2024
Remote sensing of mountain snow from space: status and recommendations S. Gascoin et al. 10.3389/feart.2024.1381323
Evaluating snow depth retrievals from Sentinel-1 volume scattering over NASA SnowEx sites Z. Hoppinen et al. 10.5194/tc-18-5407-2024
Snow water equivalent retrieval over Idaho – Part 2: Using L-band UAVSAR repeat-pass interferometry Z. Hoppinen et al. 10.5194/tc-18-575-2024
Assessment of L-band InSAR snow estimation techniques over a shallow, heterogeneous prairie snowpack R. Palomaki & E. Sproles 10.1016/j.rse.2023.113744
Characterization of non-Gaussianity in the snow distributions of various landscapes N. Ohara et al. 10.5194/tc-18-5139-2024
Snow water equivalent retrieval over Idaho – Part 1: Using Sentinel-1 repeat-pass interferometry S. Oveisgharan et al. 10.5194/tc-18-559-2024
Advancing terrestrial snow depth monitoring with machine learning and L-band InSAR data: a case study using NASA’s SnowEx 2017 data I. Alabi et al. 10.3389/frsen.2024.1481848
Toward Dry Snow Parameter Estimation by Simultaneous Multiple Squint Differential InSAR A. Benedikter et al. 10.1109/TGRS.2024.3486328

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Short summary

Mountain snowmelt provides water for billions of people across the globe. Despite its importance, we cannot currently measure the amount of water in mountain snowpacks from satellites. In this research, we test the ability of an experimental snow remote sensing technique from an airplane in preparation for the same sensor being launched on a future NASA satellite. We found that the method worked better than expected for estimating important snowpack properties.

Mountain snowmelt provides water for billions of people across the globe. Despite its...