Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables. Denager, T., Sonnenborg, T. O., Looms, M. C., Bogena, H., & Jensen, K. H. Hydrology and Earth System Sciences, 27(14):2827–2845, July, 2023. ![Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Abstract. This study evaluates water and energy fluxes and variables in combination with parameter optimization of version 5 of the state-of-the-art Community Land Model (CLM5) land surface model, using 6 years of hourly observations of latent heat flux, sensible heat flux, groundwater recharge, soil moisture and soil temperature from an agricultural observatory in Denmark. The results show that multi-objective calibration in combination with truncated singular value decomposition and Tikhonov regularization is a powerful method to improve the current practice of using lookup tables to define parameter values in land surface models. Using measurements of turbulent fluxes as the target variable, parameter optimization is capable of matching simulations and observations of latent heat, especially during the summer period, whereas simulated sensible heat is clearly biased. Of the 30 parameters considered, the soil texture, monthly leaf area index (LAI) in summer, stomatal conductance and root distribution have the highest influence on the local-scale simulation results. The results from this study contribute to improvements of the model characterization of water and energy fluxes. This work highlights the importance of performing parameter calibration using observations of hydrologic and energy fluxes and variables to obtain the optimal parameter values for a land surface model.
@article{denager_point-scale_2023,
title = {Point-scale multi-objective calibration of the {Community} {Land} {Model} (version 5.0) using in situ observations of water and energy fluxes and variables},
volume = {27},
copyright = {https://creativecommons.org/licenses/by/4.0/},
issn = {1607-7938},
url = {https://hess.copernicus.org/articles/27/2827/2023/},
doi = {10.5194/hess-27-2827-2023},
abstract = {Abstract. This study evaluates water and energy fluxes and variables in combination with parameter optimization of version 5 of the state-of-the-art Community Land Model (CLM5) land surface model, using 6 years of hourly
observations of latent heat flux, sensible heat flux, groundwater recharge,
soil moisture and soil temperature from an agricultural observatory in
Denmark. The results show that multi-objective calibration in combination
with truncated singular value decomposition and Tikhonov regularization is a powerful method to improve the current practice of using lookup tables to define parameter values in land surface models. Using measurements of
turbulent fluxes as the target variable, parameter optimization is capable
of matching simulations and observations of latent heat, especially during
the summer period, whereas simulated sensible heat is clearly biased. Of the
30 parameters considered, the soil texture, monthly leaf area index (LAI) in summer, stomatal
conductance and root distribution have the highest influence on the
local-scale simulation results. The results from this study contribute to
improvements of the model characterization of water and energy fluxes. This work highlights the importance of performing parameter calibration using
observations of hydrologic and energy fluxes and variables to obtain the optimal parameter values for a land surface model.},
language = {en},
number = {14},
urldate = {2024-11-14},
journal = {Hydrology and Earth System Sciences},
author = {Denager, Tanja and Sonnenborg, Torben O. and Looms, Majken C. and Bogena, Heye and Jensen, Karsten H.},
month = jul,
year = {2023},
pages = {2827--2845},
}
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This study evaluates water and energy fluxes and variables in combination with parameter optimization of version 5 of the state-of-the-art Community Land Model (CLM5) land surface model, using 6 years of hourly observations of latent heat flux, sensible heat flux, groundwater recharge, soil moisture and soil temperature from an agricultural observatory in Denmark. The results show that multi-objective calibration in combination with truncated singular value decomposition and Tikhonov regularization is a powerful method to improve the current practice of using lookup tables to define parameter values in land surface models. Using measurements of turbulent fluxes as the target variable, parameter optimization is capable of matching simulations and observations of latent heat, especially during the summer period, whereas simulated sensible heat is clearly biased. Of the 30 parameters considered, the soil texture, monthly leaf area index (LAI) in summer, stomatal conductance and root distribution have the highest influence on the local-scale simulation results. The results from this study contribute to improvements of the model characterization of water and energy fluxes. This work highlights the importance of performing parameter calibration using observations of hydrologic and energy fluxes and variables to obtain the optimal parameter values for a land surface model.","language":"en","number":"14","urldate":"2024-11-14","journal":"Hydrology and Earth System Sciences","author":[{"propositions":[],"lastnames":["Denager"],"firstnames":["Tanja"],"suffixes":[]},{"propositions":[],"lastnames":["Sonnenborg"],"firstnames":["Torben","O."],"suffixes":[]},{"propositions":[],"lastnames":["Looms"],"firstnames":["Majken","C."],"suffixes":[]},{"propositions":[],"lastnames":["Bogena"],"firstnames":["Heye"],"suffixes":[]},{"propositions":[],"lastnames":["Jensen"],"firstnames":["Karsten","H."],"suffixes":[]}],"month":"July","year":"2023","pages":"2827–2845","bibtex":"@article{denager_point-scale_2023,\n\ttitle = {Point-scale multi-objective calibration of the {Community} {Land} {Model} (version 5.0) using in situ observations of water and energy fluxes and variables},\n\tvolume = {27},\n\tcopyright = {https://creativecommons.org/licenses/by/4.0/},\n\tissn = {1607-7938},\n\turl = {https://hess.copernicus.org/articles/27/2827/2023/},\n\tdoi = {10.5194/hess-27-2827-2023},\n\tabstract = {Abstract. This study evaluates water and energy fluxes and variables in combination with parameter optimization of version 5 of the state-of-the-art Community Land Model (CLM5) land surface model, using 6 years of hourly\nobservations of latent heat flux, sensible heat flux, groundwater recharge,\nsoil moisture and soil temperature from an agricultural observatory in\nDenmark. The results show that multi-objective calibration in combination\nwith truncated singular value decomposition and Tikhonov regularization is a powerful method to improve the current practice of using lookup tables to define parameter values in land surface models. Using measurements of\nturbulent fluxes as the target variable, parameter optimization is capable\nof matching simulations and observations of latent heat, especially during\nthe summer period, whereas simulated sensible heat is clearly biased. Of the\n30 parameters considered, the soil texture, monthly leaf area index (LAI) in summer, stomatal\nconductance and root distribution have the highest influence on the\nlocal-scale simulation results. The results from this study contribute to\nimprovements of the model characterization of water and energy fluxes. This work highlights the importance of performing parameter calibration using\nobservations of hydrologic and energy fluxes and variables to obtain the optimal parameter values for a land surface model.},\n\tlanguage = {en},\n\tnumber = {14},\n\turldate = {2024-11-14},\n\tjournal = {Hydrology and Earth System Sciences},\n\tauthor = {Denager, Tanja and Sonnenborg, Torben O. and Looms, Majken C. and Bogena, Heye and Jensen, Karsten H.},\n\tmonth = jul,\n\tyear = {2023},\n\tpages = {2827--2845},\n}\n\n\n\n\n\n\n\n","author_short":["Denager, T.","Sonnenborg, T. O.","Looms, M. C.","Bogena, H.","Jensen, K. 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