Tanja Denager, T. Sonnenborg, M. Looms, H. Bogena, K. Jensen
{"title":"利用水和能量通量及变量的现场观测对社区土地模式(5.0版)进行点比额多目标校准","authors":"Tanja Denager, T. Sonnenborg, M. Looms, H. Bogena, K. Jensen","doi":"10.5194/hess-27-2827-2023","DOIUrl":null,"url":null,"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\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","PeriodicalId":13143,"journal":{"name":"Hydrology and Earth System Sciences","volume":" ","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2023-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"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\",\"authors\":\"Tanja Denager, T. Sonnenborg, M. Looms, H. Bogena, K. Jensen\",\"doi\":\"10.5194/hess-27-2827-2023\",\"DOIUrl\":null,\"url\":null,\"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\\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\",\"PeriodicalId\":13143,\"journal\":{\"name\":\"Hydrology and Earth System Sciences\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2023-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hydrology and Earth System Sciences\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.5194/hess-27-2827-2023\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrology and Earth System Sciences","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.5194/hess-27-2827-2023","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
Point-scale multi-objective calibration of the Community Land Model (version 5.0) using in situ observations of water and energy fluxes and variables
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.
期刊介绍:
Hydrology and Earth System Sciences (HESS) is a not-for-profit international two-stage open-access journal for the publication of original research in hydrology. HESS encourages and supports fundamental and applied research that advances the understanding of hydrological systems, their role in providing water for ecosystems and society, and the role of the water cycle in the functioning of the Earth system. A multi-disciplinary approach is encouraged that broadens the hydrological perspective and the advancement of hydrological science through integration with other cognate sciences and cross-fertilization across disciplinary boundaries.