Optimization and validation of the vegetation photosynthesis and respiration model in a temperate broad-leaved Korean pine forest

Jiarong, 张嘉荣 Zhang; Wang, Yongwei; Mi, 张弥 Zhang; Yiwei, 刁一伟 Diao; Cheng, 刘诚 Liu

doi:10.5846/stxb201607291552

Cited by 2 publications

(7 citation statements)

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“…The observed diurnal variation pattern of NEE and surface CO 2 concentrations at Fujin and Wuying ( Figure 10) was consistent with previous observations (Bazzaz & Williams, 1991;Guan et al, 2006;Park et al, 2018;Song et al, 2006;Zhang et al, 2017a). The negative NEE occurred between 06:00 and 17:00 BT, with the lowest value at the middle of the day, while the surface CO 2 concentration began to increase after sunset, reached a peak in the early morning, and then decrease till 18:00 BT at both stations.…”

Section: 1029/2019jd031686supporting

confidence: 92%

“…As a result, the diurnal variation range of surface CO 2 concentrations at Wuying was also underestimated (Figure 9d). Zhang et al (Zhang et al, 2017a) also reported an underestimation on diurnal variation of NEE simulated with VPRM in the growing season in a mixed…”

Section: 1029/2019jd031686mentioning

confidence: 91%

“…Limited work has been done to optimize the VPRM parameters in China. For example, Liu et al (2015) and Zhang et al (2017a) optimized the VPRM parameters at a subtropical evergreen forest site and a mixed forest site in Changbai Mountains, respectively, and the NEE simulations are improved using the optimized VPRM parameters. Dayalu et al (2018) calibrated the four VPRM parameters for different vegetation types using EC measurements at six stations in China.…”

Section: Journal Of Geophysical Research: Atmospheresmentioning

confidence: 99%

“…Different from many previous LUE model investigations that examined daily mean surface CO 2 fluxes (Running et al, 2004;Xiao et al, 2008;Zhang et al, 2017b), our online WRF-VPRM simulation calculates CO 2 fluxes and three-dimensional CO 2 fields every time step. Thus, we can examine CO 2 fluxes and concentrations on a subdaily time scale using WRF-VPRM outputs and examine model errors on short time scales that have not been thoroughly discussed before Zhang et al, 2017a). WRF-VPRM well reproduced the daytime NEE and surface CO 2 concentration at Fujin but slightly overestimated their nighttime values (Figures 10a and 10c).…”

Section: 1029/2019jd031686mentioning

confidence: 99%

“…In the past decade, the application and evaluation of WRF-VPRM mainly focused on North America (Feng et al, 2016;Hu et al, 2019bHu et al, , 2020Park et al, 2018;Ye et al, 2017) and Europe (Pillai et al, 2011). The model performances remain unknown in Asia including China due to the lack of observations, as well as model uncertainties due to uncertainties of VPRM parameters in the region (Dayalu et al, 2018;Hilton et al, 2013;Liu et al, 2015;Zhang et al, 2017a). Diao et al (2015) used WRF-VPRM to investigate the spatiotemporal characteristics of NEE and surface CO 2 concentrations over the Yangtze River Delta region in China for 5 days, from 28 July to 2 August 2010.…”

Section: Introductionmentioning

confidence: 99%

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Terrestrial CO₂ Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies

Cai

et al. 2020

JGR Atmospheres

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CO2 fluxes and concentrations are not well understood in Northeast China, where dominant land surface types are mixed forest and cropland. Here, we analyzed the CO2 fluxes and concentrations using observations and the Weather Research and Forecasting model coupled with the Vegetation Photosynthesis and Respiration Model (WRF‐VPRM). We also used WRF‐VPRM outputs to examine CO2 transport/dispersion and budgets. Finally, we investigated the uncertainties of simulating CO2 fluxes related to four VPRM parameters (including maximum light use efficiency, photosynthetically active radiation half‐saturation value, and two respiration parameters) using off‐line ensemble simulations. The results indicated that mixed forests acted as a larger CO2 source and sink than rice paddies in 2016 due to a longer growth period and stronger ecosystem respiration, although measured minimum daily mean net ecosystem exchange (NEE) was smaller at rice paddy (−10 μmol·m‐2·s‐1) than at mixed forest (−6.5 μmol·m‐2·s‐1) during the growing season (May–September). The monthly fluctuation of column‐averaged CO2 concentrations (XCO2) exceeded 10 ppm in Northeast China during 2016. The large summertime biogenic sinks offset about 70% of anthropogenic contribution of XCO2 in this region. WRF‐VPRM modeling successfully captured seasonal and episodic variations of NEE and CO2 concentrations; however, NEE in mixed forest was overestimated during daytime, mainly due to the uncertainties of VPRM parameters, especially maximum light use efficiency. These findings suggest that the WRF‐VPRM modeling framework will provide greater understanding of the natural and anthropogenic contributions to the carbon cycle in China, especially after calibration of parameters that control biogenic fluxes.

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Section: 1029/2019jd031686supporting

confidence: 92%

Section: 1029/2019jd031686mentioning

confidence: 91%

Section: Journal Of Geophysical Research: Atmospheresmentioning

confidence: 99%

Section: 1029/2019jd031686mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Terrestrial CO₂ Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies

Cai

et al. 2020

JGR Atmospheres

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On the Large Variation in Atmospheric CO2 Concentration at Shangdianzi GAW Station during Two Dust Storm Events in March 2021

Li,

Quan,

et al. 2023

Atmosphere

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Dust storms have large impacts on air quality and meteorological elements; however, their relationships with atmospheric greenhouse gases (e.g., CO2) and radiation components remain uncertain. In this study, the co-variation of dust and CO2 concentrations and its possible influencing mechanism are examined using observations at the Shangdianzi (SDZ) regional Global Atmosphere Watch (GAW) station along with simulations of the Vegetation Photosynthesis and Respiration Model coupled with the Weather Research and Forecasting model (WRF-VPRM), during two dust storm events on 15 and 28 March 2021. During these events, hourly CO2 concentrations decreased by 40–50 ppm at SDZ while dust concentrations increased to 1240.6 and 712.4 µg m−3. The elevated dust increased diffusive shortwave irradiance by 50–60% and decreased direct shortwave irradiance by ~60% along with clouds. The dust events were attributed to the passages of two cold front systems over northern China. At SDZ, during the frontal passages, wind speed increased by 3–6 m s−1, and relative humidity decreased by 50–60%. The CO2 variations associated with the frontal systems were captured by the WRF-VPRM despite the overestimated surface CO2 level at SDZ. Biogenic CO2 flux plays an indistinctive role in the large CO2 variation at SDZ, as it is weak during the non-growing season. The cold fronts pushed polluted air southeastward over the North China Plain and replaced it with low-CO2 air from Northwest China, leading to the decline in CO2. These findings demonstrate that mesoscale synoptic conditions significantly affect the regional transport and dispersion of CO2, which can influence the prediction of terrestrial carbon balance on a regional scale.

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Optimization and validation of the vegetation photosynthesis and respiration model in a temperate broad-leaved Korean pine forest

Cited by 2 publications

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Terrestrial CO₂ Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies

Terrestrial CO₂ Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies

On the Large Variation in Atmospheric CO2 Concentration at Shangdianzi GAW Station during Two Dust Storm Events in March 2021

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Optimization and validation of the vegetation photosynthesis and respiration model in a temperate broad-leaved Korean pine forest

Cited by 2 publications

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Terrestrial CO2 Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies

Terrestrial CO2 Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies

On the Large Variation in Atmospheric CO2 Concentration at Shangdianzi GAW Station during Two Dust Storm Events in March 2021

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Terrestrial CO₂ Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies

Terrestrial CO₂ Fluxes, Concentrations, Sources and Budget in Northeast China: Observational and Modeling Studies