Spatio-temporal variability of snow water equivalent in the extra-tropical Andes Cordillera from distributed energy  balance modeling and remotely sensed snow cover

Cornwell, E.; Molotch, N. P.; McPhee, J.

doi:10.5194/hess-20-411-2016

Articles | Volume 20, issue 1

https://doi.org/10.5194/hess-20-411-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-411-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 1

Research article

|

25 Jan 2016

Research article |

| 25 Jan 2016

Spatio-temporal variability of snow water equivalent in the extra-tropical Andes Cordillera from distributed energy balance modeling and remotely sensed snow cover

E. Cornwell, N. P. Molotch, and J. McPhee

Viewed

Total article views: 4,033 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	Supplement	BibTeX	EndNote
2,030	1,789	214	4,033	500	137	172

HTML: 2,030
PDF: 1,789
XML: 214
Total: 4,033
Supplement: 500
BibTeX: 137
EndNote: 172

Views and downloads (calculated since 03 Sep 2015)

Month	HTML	PDF	XML	Total
Sep 2015	84	78	2	164
Oct 2015	27	21	5	53
Nov 2015	11	16	1	28
Dec 2015	5	12	0	17
Jan 2016	87	41	1	129
Feb 2016	71	60	8	139
Mar 2016	41	46	15	102
Apr 2016	22	25	1	48
May 2016	17	14	0	31
Jun 2016	11	12	3	26
Jul 2016	9	8	1	18
Aug 2016	10	7	2	19
Sep 2016	12	5	2	19
Oct 2016	14	6	1	21
Nov 2016	13	10	0	23
Dec 2016	1	2	0	3
Jan 2017	14	8	0	22
Feb 2017	10	8	1	19
Mar 2017	22	15	4	41
Apr 2017	25	13	1	39
May 2017	22	16	1	39
Jun 2017	26	11	3	40
Jul 2017	20	13	1	34
Aug 2017	7	14	1	22
Sep 2017	12	20	2	34
Oct 2017	9	20	1	30
Nov 2017	10	23	0	33
Dec 2017	10	17	0	27
Jan 2018	8	9	3	20
Feb 2018	11	7	1	19
Mar 2018	10	13	0	23
Apr 2018	7	11	3	21
May 2018	10	25	3	38
Jun 2018	11	21	1	33
Jul 2018	12	13	0	25
Aug 2018	13	12	1	26
Sep 2018	10	17	0	27
Oct 2018	15	18	1	34
Nov 2018	11	16	1	28
Dec 2018	6	14	0	20
Jan 2019	6	7	0	13
Feb 2019	10	4	1	15
Mar 2019	4	7	0	11
Apr 2019	3	7	0	10
May 2019	10	10	1	21
Jun 2019	9	13	1	23
Jul 2019	12	6	2	20
Aug 2019	13	17	3	33
Sep 2019	8	8	2	18
Oct 2019	12	9	3	24
Nov 2019	13	16	1	30
Dec 2019	13	15	2	30
Jan 2020	12	11	6	29
Feb 2020	8	12	1	21
Mar 2020	16	15	0	31
Apr 2020	9	9	0	18
May 2020	16	13	1	30
Jun 2020	24	27	0	51
Jul 2020	30	17	9	56
Aug 2020	16	18	10	44
Sep 2020	11	19	1	31
Oct 2020	12	13	1	26
Nov 2020	12	15	0	27
Dec 2020	13	18	1	32
Jan 2021	36	13	1	50
Feb 2021	18	3	3	24
Mar 2021	15	16	0	31
Apr 2021	15	9	1	25
May 2021	18	26	1	45
Jun 2021	10	18	1	29
Jul 2021	9	11	2	22
Aug 2021	12	14	5	31
Sep 2021	12	13	0	25
Oct 2021	4	33	1	38
Nov 2021	15	30	4	49
Dec 2021	13	13	1	27
Jan 2022	16	21	0	37
Feb 2022	7	10	4	21
Mar 2022	13	10	2	25
Apr 2022	15	8	0	23
May 2022	16	11	3	30
Jun 2022	12	9	2	23
Jul 2022	11	5	1	17
Aug 2022	18	8	1	27
Sep 2022	18	11	1	30
Oct 2022	11	11	5	27
Nov 2022	8	14	0	22
Dec 2022	16	8	1	25
Jan 2023	17	13	3	33
Feb 2023	12	10	1	23
Mar 2023	21	15	1	37
Apr 2023	9	13	2	24
May 2023	27	20	1	48
Jun 2023	30	19	2	51
Jul 2023	19	13	3	35
Aug 2023	17	10	2	29
Sep 2023	11	11	1	23
Oct 2023	14	8	2	24
Nov 2023	16	5	1	22
Dec 2023	23	19	0	42
Jan 2024	17	3	1	21
Feb 2024	8	10	2	20
Mar 2024	11	9	1	21
Apr 2024	12	13	2	27
May 2024	16	12	5	33
Jun 2024	15	13	2	30
Jul 2024	18	10	2	30
Aug 2024	22	7	2	31
Sep 2024	7	10	0	17
Oct 2024	19	8	0	27
Nov 2024	9	11	0	20
Dec 2024	15	3	2	20
Jan 2025	17	12	4	33
Feb 2025	25	10	2	37
Mar 2025	20	9	0	29
Apr 2025	23	18	4	45
May 2025	22	12	0	34
Jun 2025	36	23	0	59
Jul 2025	13	21	3	37
Aug 2025	27	20	3	50
Sep 2025	64	15	1	80
Oct 2025	20	32	2	54
Nov 2025	2	4	0	6

Cumulative views and downloads (calculated since 03 Sep 2015)

Month	HTML	PDF	XML	Total
Sep 2015	84	78	2	164
Oct 2015	27	21	5	53
Nov 2015	11	16	1	28
Dec 2015	5	12	0	17
Jan 2016	87	41	1	129
Feb 2016	71	60	8	139
Mar 2016	41	46	15	102
Apr 2016	22	25	1	48
May 2016	17	14	0	31
Jun 2016	11	12	3	26
Jul 2016	9	8	1	18
Aug 2016	10	7	2	19
Sep 2016	12	5	2	19
Oct 2016	14	6	1	21
Nov 2016	13	10	0	23
Dec 2016	1	2	0	3
Jan 2017	14	8	0	22
Feb 2017	10	8	1	19
Mar 2017	22	15	4	41
Apr 2017	25	13	1	39
May 2017	22	16	1	39
Jun 2017	26	11	3	40
Jul 2017	20	13	1	34
Aug 2017	7	14	1	22
Sep 2017	12	20	2	34
Oct 2017	9	20	1	30
Nov 2017	10	23	0	33
Dec 2017	10	17	0	27
Jan 2018	8	9	3	20
Feb 2018	11	7	1	19
Mar 2018	10	13	0	23
Apr 2018	7	11	3	21
May 2018	10	25	3	38
Jun 2018	11	21	1	33
Jul 2018	12	13	0	25
Aug 2018	13	12	1	26
Sep 2018	10	17	0	27
Oct 2018	15	18	1	34
Nov 2018	11	16	1	28
Dec 2018	6	14	0	20
Jan 2019	6	7	0	13
Feb 2019	10	4	1	15
Mar 2019	4	7	0	11
Apr 2019	3	7	0	10
May 2019	10	10	1	21
Jun 2019	9	13	1	23
Jul 2019	12	6	2	20
Aug 2019	13	17	3	33
Sep 2019	8	8	2	18
Oct 2019	12	9	3	24
Nov 2019	13	16	1	30
Dec 2019	13	15	2	30
Jan 2020	12	11	6	29
Feb 2020	8	12	1	21
Mar 2020	16	15	0	31
Apr 2020	9	9	0	18
May 2020	16	13	1	30
Jun 2020	24	27	0	51
Jul 2020	30	17	9	56
Aug 2020	16	18	10	44
Sep 2020	11	19	1	31
Oct 2020	12	13	1	26
Nov 2020	12	15	0	27
Dec 2020	13	18	1	32
Jan 2021	36	13	1	50
Feb 2021	18	3	3	24
Mar 2021	15	16	0	31
Apr 2021	15	9	1	25
May 2021	18	26	1	45
Jun 2021	10	18	1	29
Jul 2021	9	11	2	22
Aug 2021	12	14	5	31
Sep 2021	12	13	0	25
Oct 2021	4	33	1	38
Nov 2021	15	30	4	49
Dec 2021	13	13	1	27
Jan 2022	16	21	0	37
Feb 2022	7	10	4	21
Mar 2022	13	10	2	25
Apr 2022	15	8	0	23
May 2022	16	11	3	30
Jun 2022	12	9	2	23
Jul 2022	11	5	1	17
Aug 2022	18	8	1	27
Sep 2022	18	11	1	30
Oct 2022	11	11	5	27
Nov 2022	8	14	0	22
Dec 2022	16	8	1	25
Jan 2023	17	13	3	33
Feb 2023	12	10	1	23
Mar 2023	21	15	1	37
Apr 2023	9	13	2	24
May 2023	27	20	1	48
Jun 2023	30	19	2	51
Jul 2023	19	13	3	35
Aug 2023	17	10	2	29
Sep 2023	11	11	1	23
Oct 2023	14	8	2	24
Nov 2023	16	5	1	22
Dec 2023	23	19	0	42
Jan 2024	17	3	1	21
Feb 2024	8	10	2	20
Mar 2024	11	9	1	21
Apr 2024	12	13	2	27
May 2024	16	12	5	33
Jun 2024	15	13	2	30
Jul 2024	18	10	2	30
Aug 2024	22	7	2	31
Sep 2024	7	10	0	17
Oct 2024	19	8	0	27
Nov 2024	9	11	0	20
Dec 2024	15	3	2	20
Jan 2025	17	12	4	33
Feb 2025	25	10	2	37
Mar 2025	20	9	0	29
Apr 2025	23	18	4	45
May 2025	22	12	0	34
Jun 2025	36	23	0	59
Jul 2025	13	21	3	37
Aug 2025	27	20	3	50
Sep 2025	64	15	1	80
Oct 2025	20	32	2	54
Nov 2025	2	4	0	6

Latest update: 08 Nov 2025

Short summary

We present a high-resolution snow water equivalent estimation for the 2001–2014 period over the extratropical Andes Cordillera of Argentina and Chile, the first of its type. The effect of elevation on accumulation is confirmed, although this is less marked in the northern portion of the domain. The 3000–4000 m a.s.l. elevation band contributes the bulk of snowmelt, but the 4000–5000 m a.s.l. band is a significant source and deserves further monitoring and research.