Estimation of above- and below-ground ecosystem parameters  for DVM-DOS-TEM v0.7.0 using MADS v1.7.3

Jafarov, Elchin E.; Genet, Hélène; Vesselinov, Velimir V.; Briones, Valeria; Kabeer, Aiza; Mullen, Andrew L.; Maglio, Benjamin; Carman, Tobey; Rutter, Ruth; Clein, Joy; Chang, Chu-Chun; Teber, Dogukan; Smith, Trevor; Rady, Joshua M.; Schädel, Christina; Watts, Jennifer D.; Rogers, Brendan M.; Natali, Susan M.

doi:10.5194/gmd-18-3857-2025

Articles | Volume 18, issue 12

https://doi.org/10.5194/gmd-18-3857-2025

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

https://doi.org/10.5194/gmd-18-3857-2025

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

Articles | Volume 18, issue 12

Methods for assessment of models

|

30 Jun 2025

Methods for assessment of models |

| 30 Jun 2025

Estimation of above- and below-ground ecosystem parameters for DVM-DOS-TEM v0.7.0 using MADS v1.7.3

Elchin E. Jafarov, Hélène Genet, Velimir V. Vesselinov, Valeria Briones, Aiza Kabeer, Andrew L. Mullen, Benjamin Maglio, Tobey Carman, Ruth Rutter, Joy Clein, Chu-Chun Chang, Dogukan Teber, Trevor Smith, Joshua M. Rady, Christina Schädel, Jennifer D. Watts, Brendan M. Rogers, and Susan M. Natali

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Month	HTML	PDF	XML	Total
Sep 2024	42	9	2	53
Oct 2024	47	18	37	102
Nov 2024	47	20	50	117
Dec 2024	25	11	50	86
Jan 2025	34	12	43	89
Feb 2025	40	17	5	62
Mar 2025	20	10	1	31
Apr 2025	20	10	0	30
May 2025	17	10	4	31
Jun 2025	59	14	7	80
Jul 2025	150	30	18	198
Aug 2025	430	31	2	463
Sep 2025	1,122	21	4	1,147
Oct 2025	141	36	7	184
Nov 2025	145	34	6	185
Dec 2025	135	28	8	171
Jan 2026	117	41	16	174
Feb 2026	121	22	8	151
Mar 2026	105	38	7	150
Apr 2026	93	49	12	154
May 2026	71	24	9	104
Jun 2026	41	11	12	64
Jul 2026	42	13	13	68
Aug 2026	71	14	12	97
Sep 2026	95	28	20	143

Cumulative views and downloads (calculated since 25 Sep 2024)

Month	HTML	PDF	XML	Total
Sep 2024	42	9	2	53
Oct 2024	47	18	37	102
Nov 2024	47	20	50	117
Dec 2024	25	11	50	86
Jan 2025	34	12	43	89
Feb 2025	40	17	5	62
Mar 2025	20	10	1	31
Apr 2025	20	10	0	30
May 2025	17	10	4	31
Jun 2025	59	14	7	80
Jul 2025	150	30	18	198
Aug 2025	430	31	2	463
Sep 2025	1,122	21	4	1,147
Oct 2025	141	36	7	184
Nov 2025	145	34	6	185
Dec 2025	135	28	8	171
Jan 2026	117	41	16	174
Feb 2026	121	22	8	151
Mar 2026	105	38	7	150
Apr 2026	93	49	12	154
May 2026	71	24	9	104
Jun 2026	41	11	12	64
Jul 2026	42	13	13	68
Aug 2026	71	14	12	97
Sep 2026	95	28	20	143

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Short summary

This study improves how we tune ecosystem models to reflect carbon and nitrogen storage in Arctic soils. By comparing model outputs with data from a black spruce forest in Alaska, we developed a clearer, more efficient method of matching observations. This is a key step towards understanding how Arctic ecosystems may respond to warming and release carbon, helping make future climate predictions more reliable.