Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5147-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-5147-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Modeling land surface processes over a mountainous rainforest in Costa Rica using CLM4.5 and CLM5
Department of Civil Engineering, Texas A&M University, 3136 TAMU, College Station, TX 77843, USA
Gretchen R. Miller
Department of Civil Engineering, Texas A&M University, 3136 TAMU, College Station, TX 77843, USA
Anthony T. Cahill
Department of Civil Engineering, Texas A&M University, 3136 TAMU, College Station, TX 77843, USA
Luiza Maria T. Aparecido
Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX 77843, USA
School of Life Sciences, Arizona State University, Tempe, AZ 85287, USA
Georgianne W. Moore
Department of Ecosystem Science and Management, Texas A&M University, 2138 TAMU, College Station, TX 77843, USA
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Cited
14 citations as recorded by crossref.
- Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment A. Gupta et al. 10.5194/hess-27-191-2023
- The Influence of Natural and Anthropogenic Forcing on Water and Energy Balance and on Photosynthesis J. Song et al. 10.3390/land10111151
- Modeling Profiles of Micrometeorological Variables in a Tropical Premontane Rainforest Using Multi‐Layered CLM (CLM‐ML) J. Song et al. 10.1029/2020MS002259
- Response of surface energy fluxes and hydrothermal characteristics to night‐time precipitation changes in the southeastern Tibetan Plateau Q. Dong et al. 10.1002/joc.8316
- Formulation of a Consistent Multi‐Species Canopy Description for Hydrodynamic Models Embedded in Large‐Scale Land‐Surface Representations of Mixed‐Forests G. Bohrer & J. Missik 10.1029/2022JG006982
- Deforestation reshapes land-surface energy-flux partitioning K. Yuan et al. 10.1088/1748-9326/abd8f9
- Performance evaluation of CLM5.0 in simulating liquid soil water in high mountainous area, Northwest China L. Zhang et al. 10.1007/s11629-022-7803-x
- Systematic Evaluation of a High-Resolution CLM5 Simulation over Continental China for 1979–2018 X. Ma & A. Wang 10.1175/JHM-D-22-0051.1
- Estimates of the Land Surface Hydrology from the Community Land Model Version 5 (CLM5) with Three Meteorological Forcing Datasets over China D. Wang et al. 10.3390/rs16030550
- A parameterization of sub-grid topographical effects on solar radiation in the E3SM Land Model (version 1.0): implementation and evaluation over the Tibetan Plateau D. Hao et al. 10.5194/gmd-14-6273-2021
- Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data J. Ma et al. 10.1016/j.rse.2022.113083
- Using Phenocamera Imagery to Characterize Fog: An Analysis from a Costa Rican Rainforest A. Yadav & G. Miller 10.1016/j.agrformet.2024.110255
- Partitioning of Sensible and Latent Heat Fluxes in Different Vegetation Types and Their Spatiotemporal Variations Based on 203 FLUXNET Sites H. Lin et al. 10.1029/2022JD037142
- CLM5-FruitTree: a new sub-model for deciduous fruit trees in the Community Land Model (CLM5) O. Dombrowski et al. 10.5194/gmd-15-5167-2022
14 citations as recorded by crossref.
- Impact of distributed meteorological forcing on simulated snow cover and hydrological fluxes over a mid-elevation alpine micro-scale catchment A. Gupta et al. 10.5194/hess-27-191-2023
- The Influence of Natural and Anthropogenic Forcing on Water and Energy Balance and on Photosynthesis J. Song et al. 10.3390/land10111151
- Modeling Profiles of Micrometeorological Variables in a Tropical Premontane Rainforest Using Multi‐Layered CLM (CLM‐ML) J. Song et al. 10.1029/2020MS002259
- Response of surface energy fluxes and hydrothermal characteristics to night‐time precipitation changes in the southeastern Tibetan Plateau Q. Dong et al. 10.1002/joc.8316
- Formulation of a Consistent Multi‐Species Canopy Description for Hydrodynamic Models Embedded in Large‐Scale Land‐Surface Representations of Mixed‐Forests G. Bohrer & J. Missik 10.1029/2022JG006982
- Deforestation reshapes land-surface energy-flux partitioning K. Yuan et al. 10.1088/1748-9326/abd8f9
- Performance evaluation of CLM5.0 in simulating liquid soil water in high mountainous area, Northwest China L. Zhang et al. 10.1007/s11629-022-7803-x
- Systematic Evaluation of a High-Resolution CLM5 Simulation over Continental China for 1979–2018 X. Ma & A. Wang 10.1175/JHM-D-22-0051.1
- Estimates of the Land Surface Hydrology from the Community Land Model Version 5 (CLM5) with Three Meteorological Forcing Datasets over China D. Wang et al. 10.3390/rs16030550
- A parameterization of sub-grid topographical effects on solar radiation in the E3SM Land Model (version 1.0): implementation and evaluation over the Tibetan Plateau D. Hao et al. 10.5194/gmd-14-6273-2021
- Generating gapless land surface temperature with a high spatio-temporal resolution by fusing multi-source satellite-observed and model-simulated data J. Ma et al. 10.1016/j.rse.2022.113083
- Using Phenocamera Imagery to Characterize Fog: An Analysis from a Costa Rican Rainforest A. Yadav & G. Miller 10.1016/j.agrformet.2024.110255
- Partitioning of Sensible and Latent Heat Fluxes in Different Vegetation Types and Their Spatiotemporal Variations Based on 203 FLUXNET Sites H. Lin et al. 10.1029/2022JD037142
- CLM5-FruitTree: a new sub-model for deciduous fruit trees in the Community Land Model (CLM5) O. Dombrowski et al. 10.5194/gmd-15-5167-2022
Latest update: 22 Nov 2024
Short summary
The performance of a land surface model (CLM4.5 and 5.0) was examined against a suite of measurements from a tropical montane rainforest in Costa Rica. Both versions failed to capture the effects of frequent rainfall events and mountainous terrain on temperature, leaf wetness, photosynthesis, and transpiration. While the new model version eliminated some errors, it still cannot precisely simulate a number of processes. This suggests that two key components of the model need modification.
The performance of a land surface model (CLM4.5 and 5.0) was examined against a suite of...