Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0

Schürmann, Gregor J.; Kaminski, Thomas; Köstler, Christoph; Carvalhais, Nuno; Voßbeck, Michael; Kattge, Jens; Giering, Ralf; Rödenbeck, Christian; Heimann, Martin; Zaehle, Sönke

doi:10.5194/gmd-9-2999-2016

Articles | Volume 9, issue 9

https://doi.org/10.5194/gmd-9-2999-2016

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

https://doi.org/10.5194/gmd-9-2999-2016

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

Articles | Volume 9, issue 9

Development and technical paper

|

02 Sep 2016

Development and technical paper |

| 02 Sep 2016

Constraining a land-surface model with multiple observations by application of the MPI-Carbon Cycle Data Assimilation System V1.0

Gregor J. Schürmann, Thomas Kaminski, Christoph Köstler, Nuno Carvalhais, Michael Voßbeck, Jens Kattge, Ralf Giering, Christian Rödenbeck, Martin Heimann, and Sönke Zaehle

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May 2016	27	13	0	40
Jun 2016	15	3	1	19
Jul 2016	4	5	1	10
Aug 2016	5	3	0	8
Sep 2016	93	22	3	118
Oct 2016	15	8	1	24
Nov 2016	20	21	1	42
Dec 2016	8	15	1	24
Jan 2017	30	36	6	72
Feb 2017	24	6	4	34
Mar 2017	32	12	4	48
Apr 2017	35	13	3	51
May 2017	52	32	12	96
Jun 2017	42	16	9	67
Jul 2017	25	9	2	36
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Apr 2019	10	14	3	27
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Jul 2019	15	15	10	40
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Mar 2020	7	15	4	26
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Jun 2020	21	12	3	36
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Aug 2020	11	9	1	21
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Oct 2020	16	4	6	26
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Jan 2021	19	20	9	48
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Apr 2021	9	8	6	23
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Jul 2021	15	11	0	26
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Mar 2022	21	9	6	36
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Feb 2023	39	7	0	46
Mar 2023	44	9	2	55
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Jun 2023	67	6	2	75
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Nov 2023	29	2	1	32
Dec 2023	47	10	2	59
Jan 2024	44	13	1	58
Feb 2024	35	8	0	43
Mar 2024	50	11	1	62
Apr 2024	47	7	5	59
May 2024	19	12	6	37
Jun 2024	23	20	2	45
Jul 2024	23	14	6	43
Aug 2024	32	2	3	37
Sep 2024	20	9	0	29
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Nov 2024	18	6	2	26
Dec 2024	9	19	0	28
Jan 2025	17	11	1	29
Feb 2025	33	10	3	46
Mar 2025	15	15	0	30
Apr 2025	21	14	1	36
May 2025	29	15	0	44
Jun 2025	44	14	1	59
Jul 2025	31	19	3	53
Aug 2025	44	14	4	62
Sep 2025	56	24	1	81
Oct 2025	33	22	3	58
Nov 2025	44	20	5	69

Cumulative views and downloads (calculated since 19 Jan 2016)

Month	HTML	PDF	XML	Total
Jan 2016	79	28	1	108
Feb 2016	42	27	2	71
Mar 2016	25	40	0	65
Apr 2016	25	40	5	70
May 2016	27	13	0	40
Jun 2016	15	3	1	19
Jul 2016	4	5	1	10
Aug 2016	5	3	0	8
Sep 2016	93	22	3	118
Oct 2016	15	8	1	24
Nov 2016	20	21	1	42
Dec 2016	8	15	1	24
Jan 2017	30	36	6	72
Feb 2017	24	6	4	34
Mar 2017	32	12	4	48
Apr 2017	35	13	3	51
May 2017	52	32	12	96
Jun 2017	42	16	9	67
Jul 2017	25	9	2	36
Aug 2017	25	14	0	39
Sep 2017	17	13	1	31
Oct 2017	15	12	1	28
Nov 2017	13	9	0	22
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Jan 2018	14	10	0	24
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Apr 2018	11	9	1	21
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Jan 2022	19	10	3	32
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Aug 2022	46	6	1	53
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Oct 2022	54	3	4	61
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Dec 2022	40	7	1	48
Jan 2023	41	13	1	55
Feb 2023	39	7	0	46
Mar 2023	44	9	2	55
Apr 2023	42	8	0	50
May 2023	49	7	0	56
Jun 2023	67	6	2	75
Jul 2023	38	2	0	40
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Oct 2023	42	12	1	55
Nov 2023	29	2	1	32
Dec 2023	47	10	2	59
Jan 2024	44	13	1	58
Feb 2024	35	8	0	43
Mar 2024	50	11	1	62
Apr 2024	47	7	5	59
May 2024	19	12	6	37
Jun 2024	23	20	2	45
Jul 2024	23	14	6	43
Aug 2024	32	2	3	37
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Oct 2024	25	6	1	32
Nov 2024	18	6	2	26
Dec 2024	9	19	0	28
Jan 2025	17	11	1	29
Feb 2025	33	10	3	46
Mar 2025	15	15	0	30
Apr 2025	21	14	1	36
May 2025	29	15	0	44
Jun 2025	44	14	1	59
Jul 2025	31	19	3	53
Aug 2025	44	14	4	62
Sep 2025	56	24	1	81
Oct 2025	33	22	3	58
Nov 2025	44	20	5	69

Latest update: 25 Nov 2025

Short summary

We describe the Max Planck Institute Carbon Cycle Data Assimilation System (MPI-CCDAS). The system improves the modelled carbon cycle of the terrestrial biosphere by systematically confronting (or assimilating) the model with observations of atmospheric CO₂ and fractions of absorbed photosynthetically active radiation. Jointly assimilating both data streams outperforms the single-data stream experiments, thus showing the value of a multi-data stream assimilation.