Coupling the Community Land Model version 5.0 to the parallel data assimilation framework PDAF: description and applications

Strebel, Lukas; Bogena, Heye R.; Vereecken, Harry; Hendricks Franssen, Harrie-Jan

doi:https://doi.org/10.5194/gmd-15-395-2022

Articles | Volume 15, issue 2

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Articles | Volume 15, issue 2

https://doi.org/10.5194/gmd-15-395-2022

Articles | Volume 15, issue 2

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Development and technical paper

18 Jan 2022

Development and technical paper |

| 18 Jan 2022

Coupling the Community Land Model version 5.0 to the parallel data assimilation framework PDAF: description and applications

Lukas Strebel, Heye R. Bogena, Harry Vereecken, and Harrie-Jan Hendricks Franssen

Lukas Strebel

CORRESPONDING AUTHOR

l.strebel@fz-juelich.de

https://orcid.org/0000-0001-5780-8332

Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH, Jülich, Germany

Centre for High-Performance Scientific Computing in Terrestrial Systems: HPSC TerrSys, Geoverbund ABC/J, Leo-Brandt-Strasse, 52425 Jülich, Germany

Heye R. Bogena

https://orcid.org/0000-0001-9974-6686

Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH, Jülich, Germany

Centre for High-Performance Scientific Computing in Terrestrial Systems: HPSC TerrSys, Geoverbund ABC/J, Leo-Brandt-Strasse, 52425 Jülich, Germany

Harry Vereecken

https://orcid.org/0000-0002-8051-8517

Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH, Jülich, Germany

Centre for High-Performance Scientific Computing in Terrestrial Systems: HPSC TerrSys, Geoverbund ABC/J, Leo-Brandt-Strasse, 52425 Jülich, Germany

Harrie-Jan Hendricks Franssen

Agrosphere Institute, IBG-3, Forschungszentrum Jülich GmbH, Jülich, Germany

Centre for High-Performance Scientific Computing in Terrestrial Systems: HPSC TerrSys, Geoverbund ABC/J, Leo-Brandt-Strasse, 52425 Jülich, Germany

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2,729	812	102	3,643	67	82

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PDF: 812
XML: 102
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BibTeX: 67
EndNote: 82

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Cumulative views and downloads (calculated since 08 Sep 2021)

Total article views: 2,171 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,578	519	74	2,171	63	73

HTML: 1,578
PDF: 519
XML: 74
Total: 2,171
BibTeX: 63
EndNote: 73

Views and downloads (calculated since 18 Jan 2022)

Month	HTML	PDF	XML	Total
Jan 2022	207	47	3	257
Feb 2022	165	31	3	199
Mar 2022	48	13	1	62
Apr 2022	38	15	1	54
May 2022	28	15	4	47
Jun 2022	19	6	2	27
Jul 2022	28	7	2	37
Aug 2022	38	10	2	50
Sep 2022	17	9	3	29
Oct 2022	25	14	3	42
Nov 2022	41	12	2	55
Dec 2022	18	11	0	29
Jan 2023	22	17	0	39
Feb 2023	23	8	0	31
Mar 2023	37	14	1	52
Apr 2023	24	8	1	33
May 2023	25	13	1	39
Jun 2023	28	13	1	42
Jul 2023	23	11	0	34
Aug 2023	29	13	2	44
Sep 2023	19	14	1	34
Oct 2023	44	13	1	58
Nov 2023	14	6	0	20
Dec 2023	40	9	2	51
Jan 2024	26	10	0	36
Feb 2024	27	16	2	45
Mar 2024	41	30	1	72
Apr 2024	44	10	3	57
May 2024	53	11	4	68
Jun 2024	67	10	2	79
Jul 2024	21	9	3	33
Aug 2024	23	4	3	30
Sep 2024	21	5	0	26
Oct 2024	45	8	0	53
Nov 2024	34	5	3	42
Dec 2024	31	13	2	46
Jan 2025	28	11	4	43
Feb 2025	19	16	4	39
Mar 2025	23	7	6	36
Apr 2025	40	10	0	50
May 2025	23	4	0	27
Jun 2025	12	11	1	24

Cumulative views and downloads (calculated since 18 Jan 2022)

Month	HTML	PDF	XML	Total
Jan 2022	207	47	3	257
Feb 2022	165	31	3	199
Mar 2022	48	13	1	62
Apr 2022	38	15	1	54
May 2022	28	15	4	47
Jun 2022	19	6	2	27
Jul 2022	28	7	2	37
Aug 2022	38	10	2	50
Sep 2022	17	9	3	29
Oct 2022	25	14	3	42
Nov 2022	41	12	2	55
Dec 2022	18	11	0	29
Jan 2023	22	17	0	39
Feb 2023	23	8	0	31
Mar 2023	37	14	1	52
Apr 2023	24	8	1	33
May 2023	25	13	1	39
Jun 2023	28	13	1	42
Jul 2023	23	11	0	34
Aug 2023	29	13	2	44
Sep 2023	19	14	1	34
Oct 2023	44	13	1	58
Nov 2023	14	6	0	20
Dec 2023	40	9	2	51
Jan 2024	26	10	0	36
Feb 2024	27	16	2	45
Mar 2024	41	30	1	72
Apr 2024	44	10	3	57
May 2024	53	11	4	68
Jun 2024	67	10	2	79
Jul 2024	21	9	3	33
Aug 2024	23	4	3	30
Sep 2024	21	5	0	26
Oct 2024	45	8	0	53
Nov 2024	34	5	3	42
Dec 2024	31	13	2	46
Jan 2025	28	11	4	43
Feb 2025	19	16	4	39
Mar 2025	23	7	6	36
Apr 2025	40	10	0	50
May 2025	23	4	0	27
Jun 2025	12	11	1	24

Total article views: 1,472 (including HTML, PDF, and XML)

HTML	PDF	XML	Total	BibTeX	EndNote
1,151	293	28	1,472	4	9

HTML: 1,151
PDF: 293
XML: 28
Total: 1,472
BibTeX: 4
EndNote: 9

Views and downloads (calculated since 08 Sep 2021)

Month	HTML	PDF	XML	Total
Jan 2022	207	47	3	257
Feb 2022	165	31	3	199
Mar 2022	48	13	1	62
Apr 2022	38	15	1	54
May 2022	28	15	4	47
Jun 2022	19	6	2	27
Jul 2022	28	7	2	37
Aug 2022	38	10	2	50
Sep 2022	17	9	3	29
Oct 2022	25	14	3	42
Nov 2022	41	12	2	55
Dec 2022	18	11	0	29
Jan 2023	22	17	0	39
Feb 2023	23	8	0	31
Mar 2023	37	14	1	52
Apr 2023	24	8	1	33
May 2023	25	13	1	39
Jun 2023	28	13	1	42
Jul 2023	23	11	0	34
Aug 2023	29	13	2	44
Sep 2023	19	14	1	34
Oct 2023	44	13	1	58
Nov 2023	14	6	0	20
Dec 2023	40	9	2	51
Jan 2024	26	10	0	36
Feb 2024	27	16	2	45
Mar 2024	41	30	1	72
Apr 2024	44	10	3	57
May 2024	53	11	4	68
Jun 2024	67	10	2	79
Jul 2024	21	9	3	33
Aug 2024	23	4	3	30
Sep 2024	21	5	0	26
Oct 2024	45	8	0	53
Nov 2024	34	5	3	42
Dec 2024	31	13	2	46
Jan 2025	28	11	4	43
Feb 2025	19	16	4	39
Mar 2025	23	7	6	36
Apr 2025	40	10	0	50
May 2025	23	4	0	27
Jun 2025	12	11	1	24

Cumulative views and downloads (calculated since 08 Sep 2021)

Month	HTML	PDF	XML	Total
Jan 2022	207	47	3	257
Feb 2022	165	31	3	199
Mar 2022	48	13	1	62
Apr 2022	38	15	1	54
May 2022	28	15	4	47
Jun 2022	19	6	2	27
Jul 2022	28	7	2	37
Aug 2022	38	10	2	50
Sep 2022	17	9	3	29
Oct 2022	25	14	3	42
Nov 2022	41	12	2	55
Dec 2022	18	11	0	29
Jan 2023	22	17	0	39
Feb 2023	23	8	0	31
Mar 2023	37	14	1	52
Apr 2023	24	8	1	33
May 2023	25	13	1	39
Jun 2023	28	13	1	42
Jul 2023	23	11	0	34
Aug 2023	29	13	2	44
Sep 2023	19	14	1	34
Oct 2023	44	13	1	58
Nov 2023	14	6	0	20
Dec 2023	40	9	2	51
Jan 2024	26	10	0	36
Feb 2024	27	16	2	45
Mar 2024	41	30	1	72
Apr 2024	44	10	3	57
May 2024	53	11	4	68
Jun 2024	67	10	2	79
Jul 2024	21	9	3	33
Aug 2024	23	4	3	30
Sep 2024	21	5	0	26
Oct 2024	45	8	0	53
Nov 2024	34	5	3	42
Dec 2024	31	13	2	46
Jan 2025	28	11	4	43
Feb 2025	19	16	4	39
Mar 2025	23	7	6	36
Apr 2025	40	10	0	50
May 2025	23	4	0	27
Jun 2025	12	11	1	24

Viewed (geographical distribution)

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Total article views: 3,643 (including HTML, PDF, and XML) Thereof 3,381 with geography defined and 262 with unknown origin.

Total article views: 2,171 (including HTML, PDF, and XML) Thereof 2,033 with geography defined and 138 with unknown origin.

Total article views: 1,472 (including HTML, PDF, and XML) Thereof 1,348 with geography defined and 124 with unknown origin.

Country	#	Views	%
China	1	1046	28
United States of America	2	940	25
Germany	3	355	9
Ireland	4	127	3
undefined	5	96	2

Country	#	Views	%
United States of America	1	654	30
China	2	378	17
Germany	3	272	12
India	4	73	3
Ireland	5	70	3

Country	#	Views	%
China	1	668	45
United States of America	2	286	19
Germany	3	83	5
Ireland	4	57	3
undefined	5	46	3


Total:	0
HTML:	0
PDF:	0
XML:	0

1
1046

1046


Total:	0
HTML:	0
PDF:	0
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654


Total:	0
HTML:	0
PDF:	0
XML:	0

668

Cited

Show all Final revised paper only Preprint only

10 citations as recorded by crossref.

Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach T. Boas et al. 10.5194/hess-27-3143-2023
Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data L. Strebel et al. 10.5194/hess-28-1001-2024
Historical memory in remotely sensed soil moisture can enhance flash flood modeling for headwater catchments in Germany Y. Liu et al. 10.1016/j.jhydrol.2024.132395
NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al. 10.5194/gmd-17-8495-2024
Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale? F. Li et al. 10.1029/2023WR035056
Isolating the effects of land use land cover change and inter-decadal climate variations on the water and energy cycles over India, 1981–2010 N. Ghodichore et al. 10.1016/j.jhydrol.2022.128267
Identical hierarchy of physical drought types for climate change signals and uncertainty P. Hosseinzadehtalaei et al. 10.1016/j.wace.2023.100573
Improving the representation of major Indian crops in the Community Land Model version 5.0 (CLM5) using site-scale crop data K. Reddy et al. 10.5194/gmd-18-763-2025
Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning S. Kim et al. 10.1038/s41597-024-03959-w
Editorial: Impact of anthropogenic disturbances on agroforestry ecosystems P. Nasta et al. 10.3389/frwa.2023.1207654

10 citations as recorded by crossref.

Seasonal soil moisture and crop yield prediction with fifth-generation seasonal forecasting system (SEAS5) long-range meteorological forecasts in a land surface modelling approach T. Boas et al. 10.5194/hess-27-3143-2023
Evapotranspiration prediction for European forest sites does not improve with assimilation of in situ soil water content data L. Strebel et al. 10.5194/hess-28-1001-2024
Historical memory in remotely sensed soil moisture can enhance flash flood modeling for headwater catchments in Germany Y. Liu et al. 10.1016/j.jhydrol.2024.132395
NAQPMS-PDAF v2.0: a novel hybrid nonlinear data assimilation system for improved simulation of PM2.5 chemical components H. Li et al. 10.5194/gmd-17-8495-2024
Can a Sparse Network of Cosmic Ray Neutron Sensors Improve Soil Moisture and Evapotranspiration Estimation at the Larger Catchment Scale? F. Li et al. 10.1029/2023WR035056
Isolating the effects of land use land cover change and inter-decadal climate variations on the water and energy cycles over India, 1981–2010 N. Ghodichore et al. 10.1016/j.jhydrol.2022.128267
Identical hierarchy of physical drought types for climate change signals and uncertainty P. Hosseinzadehtalaei et al. 10.1016/j.wace.2023.100573
Improving the representation of major Indian crops in the Community Land Model version 5.0 (CLM5) using site-scale crop data K. Reddy et al. 10.5194/gmd-18-763-2025
Spatiotemporal upscaling of sparse air-sea pCO2 data via physics-informed transfer learning S. Kim et al. 10.1038/s41597-024-03959-w
Editorial: Impact of anthropogenic disturbances on agroforestry ecosystems P. Nasta et al. 10.3389/frwa.2023.1207654

Latest update: 19 Jun 2025

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Short summary

We present the technical coupling between a land surface model (CLM5) and the Parallel Data Assimilation Framework (PDAF). This coupling enables measurement data to update simulated model states and parameters in a statistically optimal way. We demonstrate the viability of the model framework using an application in a forested catchment where the inclusion of soil water measurements significantly improved the simulation quality.

We present the technical coupling between a land surface model (CLM5) and the Parallel Data...