On the Influence of Vegetation Cover Changes and Vegetation-Runoff Systems on the Simulated Summer Potential Evapotranspiration of Tropical Africa Using RegCM4
The community land model version 4.5 provides two ways for treating the vegetation cover changes (a static versus an interactive) and two runoff schemes for tracking the soil moisture changes. In this study, we examined the sensitivity of the simulated boreal summer potential evapotranspiration (PET...
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description | The community land model version 4.5 provides two ways for treating the vegetation cover changes (a static versus an interactive) and two runoff schemes for tracking the soil moisture changes. In this study, we examined the sensitivity of the simulated boreal summer potential evapotranspiration (PET) to the aforementioned options using a regional climate model. Three different experiments with each one covering 16 years have been performed. The two runoff schemes were designated as SIMTOP (TOP) and variable infiltration capacity (VIC). Both runoff schemes were coupled to the carbon–nitrogen (CN) module, thus the vegetation status can be influenced by soil moisture changes. Results show that vegetation cover changes alone affect considerably the simulated 2-m mean air temperature (T2M). However, they do not affect the global incident solar radiation (RSDS) and PET. Conversely to the vegetation cover changes alone, the vegetation-runoff systems affect both the T2M and RSDS. Therefore, they considerably affect the simulated PET. Also, the CN-VIC overestimates the PET more than the CN-TOP compared to the Climatic Research Unit observational dataset. In comparison with the static vegetation case and CN-VIC, the CN-TOP shows the least bias of the simulated PET. Overall, our results show that the vegetation-runoff system is relevant in constraining the PET, though the CN-TOP can be recommended for future studies concerning the PET of tropical Africa. |
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In this study, we examined the sensitivity of the simulated boreal summer potential evapotranspiration (PET) to the aforementioned options using a regional climate model. Three different experiments with each one covering 16 years have been performed. The two runoff schemes were designated as SIMTOP (TOP) and variable infiltration capacity (VIC). Both runoff schemes were coupled to the carbon–nitrogen (CN) module, thus the vegetation status can be influenced by soil moisture changes. Results show that vegetation cover changes alone affect considerably the simulated 2-m mean air temperature (T2M). However, they do not affect the global incident solar radiation (RSDS) and PET. Conversely to the vegetation cover changes alone, the vegetation-runoff systems affect both the T2M and RSDS. Therefore, they considerably affect the simulated PET. Also, the CN-VIC overestimates the PET more than the CN-TOP compared to the Climatic Research Unit observational dataset. In comparison with the static vegetation case and CN-VIC, the CN-TOP shows the least bias of the simulated PET. Overall, our results show that the vegetation-runoff system is relevant in constraining the PET, though the CN-TOP can be recommended for future studies concerning the PET of tropical Africa.</description><identifier>ISSN: 2509-9426</identifier><identifier>EISSN: 2509-9434</identifier><identifier>DOI: 10.1007/s41748-021-00252-3</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Air temperature ; Carbon ; Carbon cycle ; Climate ; Climate change ; Climate Change/Climate Change Impacts ; Climate models ; Earth and Environmental Science ; Earth Sciences ; Earth System Sciences ; Environmental Science and Engineering ; Evapotranspiration ; Geography ; Heat ; Hydrology ; Infiltration capacity ; Methods ; Monitoring/Environmental Analysis ; Original Article ; Phenology ; Precipitation ; Radiation ; Runoff ; Simulation ; Soil moisture ; Solar radiation ; Summer ; Vegetation ; Vegetation cover</subject><ispartof>Earth systems and environment, 2021-12, Vol.5 (4), p.883-897</ispartof><rights>The Author(s) 2021</rights><rights>The Author(s) 2021. 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In this study, we examined the sensitivity of the simulated boreal summer potential evapotranspiration (PET) to the aforementioned options using a regional climate model. Three different experiments with each one covering 16 years have been performed. The two runoff schemes were designated as SIMTOP (TOP) and variable infiltration capacity (VIC). Both runoff schemes were coupled to the carbon–nitrogen (CN) module, thus the vegetation status can be influenced by soil moisture changes. Results show that vegetation cover changes alone affect considerably the simulated 2-m mean air temperature (T2M). However, they do not affect the global incident solar radiation (RSDS) and PET. Conversely to the vegetation cover changes alone, the vegetation-runoff systems affect both the T2M and RSDS. Therefore, they considerably affect the simulated PET. Also, the CN-VIC overestimates the PET more than the CN-TOP compared to the Climatic Research Unit observational dataset. In comparison with the static vegetation case and CN-VIC, the CN-TOP shows the least bias of the simulated PET. Overall, our results show that the vegetation-runoff system is relevant in constraining the PET, though the CN-TOP can be recommended for future studies concerning the PET of tropical Africa.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s41748-021-00252-3</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-2774-6000</orcidid><orcidid>https://orcid.org/0000-0003-1209-4107</orcidid><orcidid>https://orcid.org/0000-0002-5566-0538</orcidid><orcidid>https://orcid.org/0000-0002-4077-8648</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Air temperature Carbon Carbon cycle Climate Climate change Climate Change/Climate Change Impacts Climate models Earth and Environmental Science Earth Sciences Earth System Sciences Environmental Science and Engineering Evapotranspiration Geography Heat Hydrology Infiltration capacity Methods Monitoring/Environmental Analysis Original Article Phenology Precipitation Radiation Runoff Simulation Soil moisture Solar radiation Summer Vegetation Vegetation cover |
title | On the Influence of Vegetation Cover Changes and Vegetation-Runoff Systems on the Simulated Summer Potential Evapotranspiration of Tropical Africa Using RegCM4 |
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