Using satellite data to improve the leaf phenology of a global terrestrial biosphere model

MacBean, N.; Maignan, F.; Peylin, P.; Bacour, C.; Bréon, F.-M.; Ciais, P.

doi:10.5194/bg-12-7185-2015

Articles | Volume 12, issue 23

https://doi.org/10.5194/bg-12-7185-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/bg-12-7185-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 12, issue 23

Research article

|

10 Dec 2015

Research article |

| 10 Dec 2015

Using satellite data to improve the leaf phenology of a global terrestrial biosphere model

N. MacBean, F. Maignan, P. Peylin, C. Bacour, F.-M. Bréon, and P. Ciais

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Total article views: 5,037 (including HTML, PDF, and XML)

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Views and downloads (calculated since 19 Aug 2015)

Month	HTML	PDF	XML	Total
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Nov 2015	12	15	0	27
Dec 2015	106	78	2	186
Jan 2016	52	50	0	102
Feb 2016	19	44	2	65
Mar 2016	27	46	0	73
Apr 2016	10	33	0	43
May 2016	19	29	2	50
Jun 2016	8	21	5	34
Jul 2016	7	4	2	13
Aug 2016	11	5	1	17
Sep 2016	13	6	0	19
Oct 2016	10	11	1	22
Nov 2016	13	13	0	26
Dec 2016	3	6	0	9
Jan 2017	17	21	0	38
Feb 2017	17	20	2	39
Mar 2017	19	16	2	37
Apr 2017	31	21	1	53
May 2017	31	29	1	61
Jun 2017	27	15	0	42
Jul 2017	26	17	1	44
Aug 2017	5	11	3	19
Sep 2017	7	20	0	27
Oct 2017	3	24	0	27
Nov 2017	7	19	0	26
Dec 2017	17	22	0	39
Jan 2018	12	21	0	33
Feb 2018	10	19	1	30
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Apr 2019	8	19	0	27
May 2019	9	14	3	26
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Aug 2019	20	24	9	53
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Jan 2020	10	9	2	21
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Jun 2023	11	13	1	25
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Jan 2024	16	11	0	27
Feb 2024	11	23	0	34
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Apr 2024	27	12	3	42
May 2024	32	12	5	49
Jun 2024	31	12	2	45
Jul 2024	36	17	5	58
Aug 2024	53	14	2	69
Sep 2024	25	12	1	38
Oct 2024	32	18	1	51
Nov 2024	31	13	3	47
Dec 2024	21	15	1	37
Jan 2025	30	21	2	53
Feb 2025	41	15	1	57
Mar 2025	26	30	1	57
Apr 2025	38	27	1	66
May 2025	43	22	0	65
Jun 2025	53	27	0	80
Jul 2025	44	20	1	65
Aug 2025	46	34	2	82
Sep 2025	53	27	1	81
Oct 2025	31	26	1	58
Nov 2025	32	19	4	55

Cumulative views and downloads (calculated since 19 Aug 2015)

Month	HTML	PDF	XML	Total
Aug 2015	92	55	1	148
Sep 2015	30	30	2	62
Oct 2015	9	9	1	19
Nov 2015	12	15	0	27
Dec 2015	106	78	2	186
Jan 2016	52	50	0	102
Feb 2016	19	44	2	65
Mar 2016	27	46	0	73
Apr 2016	10	33	0	43
May 2016	19	29	2	50
Jun 2016	8	21	5	34
Jul 2016	7	4	2	13
Aug 2016	11	5	1	17
Sep 2016	13	6	0	19
Oct 2016	10	11	1	22
Nov 2016	13	13	0	26
Dec 2016	3	6	0	9
Jan 2017	17	21	0	38
Feb 2017	17	20	2	39
Mar 2017	19	16	2	37
Apr 2017	31	21	1	53
May 2017	31	29	1	61
Jun 2017	27	15	0	42
Jul 2017	26	17	1	44
Aug 2017	5	11	3	19
Sep 2017	7	20	0	27
Oct 2017	3	24	0	27
Nov 2017	7	19	0	26
Dec 2017	17	22	0	39
Jan 2018	12	21	0	33
Feb 2018	10	19	1	30
Mar 2018	12	18	8	38
Apr 2018	7	19	1	27
May 2018	16	22	2	40
Jun 2018	10	23	2	35
Jul 2018	11	24	3	38
Aug 2018	10	27	13	50
Sep 2018	15	22	4	41
Oct 2018	11	24	0	35
Nov 2018	19	27	1	47
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Oct 2023	38	15	1	54
Nov 2023	43	9	0	52
Dec 2023	35	15	3	53
Jan 2024	16	11	0	27
Feb 2024	11	23	0	34
Mar 2024	26	16	2	44
Apr 2024	27	12	3	42
May 2024	32	12	5	49
Jun 2024	31	12	2	45
Jul 2024	36	17	5	58
Aug 2024	53	14	2	69
Sep 2024	25	12	1	38
Oct 2024	32	18	1	51
Nov 2024	31	13	3	47
Dec 2024	21	15	1	37
Jan 2025	30	21	2	53
Feb 2025	41	15	1	57
Mar 2025	26	30	1	57
Apr 2025	38	27	1	66
May 2025	43	22	0	65
Jun 2025	53	27	0	80
Jul 2025	44	20	1	65
Aug 2025	46	34	2	82
Sep 2025	53	27	1	81
Oct 2025	31	26	1	58
Nov 2025	32	19	4	55

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Short summary

Previous model evaluation studies have shown that terrestrial biosphere models (TBMs) need a better representation of the leaf phenology, but the model deficiency could be related to incorrect model parameters or inaccurate model structure. This paper presents a framework for optimising the parameters of phenology models that are commonly used in TBMs. It further demonstrates that the optimisation can result in changes to trends in vegetation productivity and an improvement in gross C fluxes.