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	29	4	8	41

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	29	4	8	41

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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.