the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
| 13 Dec 2023
The Regional Climate-Chemistry-Ecology Coupling Model RegCM-Chem (v4.6)-YIBs (v1.0): Development and Application
Abstract. The interactions between the terrestrial biosphere, atmospheric chemistry, and climate involve complex feedbacks that have traditionally been modeled separately. We present a new framework that couples the Yale Interactive terrestrial Biosphere (YIBs), a dynamic plant-chemistry model, with the RegCM-Chem model. RegCM-Chem-YIBs integrates meteorological variables and atmospheric chemical composition from RegCM-Chem with land surface parameters from YIBs. The terrestrial carbon flux calculated by YIBs, are fed back into RegCM-Chem interactively, thereby representing the interactions between fine particulate matter (PM2.5), ozone (O3), and carbon dioxide (CO2). For testing purposes, we carry out a one-year simulation (2016) at a 30 km horizontal resolution over East Asia with RegCM-Chem-YIBs. The model accurately captures the spa-tio-temporal distribution of climate, chemical composition, and ecological parameters. In particular, the estimated O3 and PM2.5 are consistent with ground observations, with correlation coefficients (R) of 0.74 and 0.65, respec-tively. The simulated CO2 concentration is consistent with observations from six sites (R ranged from 0.89 to 0.97) and exhibits a similar spatial pattern when compared to carbon assimilation products. RegCM-Chem-YIBs produces reasonably good gross primary productivity (GPP) and net primary productivity (NPP), showing seasonal and spatial distributions consistent with satellite observations, and mean biases (MBs) of 0.13 and 0.05 kg C m-2 year-1. This study illustrates that the RegCM-Chem-YIBs is a valuable tool to investigate coupled interactions between the terrestrial carbon cycle, atmospheric chemistry, and climate change at a higher resolution in regional scale.
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Notice on discussion status
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
- Preprint
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Supplement
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Journal article(s) based on this preprint
Interactive discussion
Status: closed
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RC1: 'Comment on egusphere-2023-1733', Anonymous Referee #1, 03 Jan 2024
General comments:In my opinion, it is valuable to investigate coupled interactions between the terrestrial carbon cycle, atmospheric chemistry, and climate change in regional scale. The manuscript entitled: " The Regional Climate-Chemistry-Ecology Coupling Model RegCM-Chem (v4.6)-YIBs (v1.0): Development and Application " presents valuable results which merit publication in egusphere  after minor corrections. There are comments I suggest the authors should take into account:
In 3.2 Climate simulations in East Asian，the representativeness of statistical indicators for comparison between model simulation results and reanalysis data is not clear. The author did not provide the temporal resolution of statistical indicators such as Correlation coefficients (R), mean biases (MB), and root mean square error (RMSE).
Citation: https://doi.org/10.5194/egusphere-2023-1733-RC1 - AC1: 'Reply on RC1', Nanhong Xie, 05 Feb 2024
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RC2: 'Comment on egusphere-2023-1733', Anonymous Referee #2, 03 Jan 2024
This work built a new framework that couples terrestrial biosphere model and regional climate model. It is a novel and important investigation to explore the interaction between plants and climate change. Although the new model was evaluated using multi source data which showed a nice comparison, I think you should evaluate the ability of couple model through comparing the model results between couple and independent model (either biogenic model or climate model). We need to see if the coupled model works better than independent model. If so, how better? What is the dominant mechanism to improve the model perform through coupling? In addition, the description of couple method is not enough detail to help reader to understand this work. For example, meteorological variables and atmospheric pollutant concentrations generated by RegCM-Chem are incorporated into the YIBs model every six-minute intervals. Why do you determine the interval of six minutes? Another example, outputs from the YIBs are subsequently integrated back into the RegCM-Chem model, modulating atmospheric composition and atmospheric variables. How often do those outputs integrate back? How can these outputs from YIBs model change the atmospheric variables? Directly or indirectly? Â How do you calculate the biogenic VOC emission flux, which is needed to state briefly although it was described in reference.
Citation: https://doi.org/10.5194/egusphere-2023-1733-RC2 - AC2: 'Reply on RC2', Nanhong Xie, 05 Feb 2024
Interactive discussion
Status: closed
-
RC1: 'Comment on egusphere-2023-1733', Anonymous Referee #1, 03 Jan 2024
General comments:In my opinion, it is valuable to investigate coupled interactions between the terrestrial carbon cycle, atmospheric chemistry, and climate change in regional scale. The manuscript entitled: " The Regional Climate-Chemistry-Ecology Coupling Model RegCM-Chem (v4.6)-YIBs (v1.0): Development and Application " presents valuable results which merit publication in egusphere  after minor corrections. There are comments I suggest the authors should take into account:
In 3.2 Climate simulations in East Asian，the representativeness of statistical indicators for comparison between model simulation results and reanalysis data is not clear. The author did not provide the temporal resolution of statistical indicators such as Correlation coefficients (R), mean biases (MB), and root mean square error (RMSE).
Citation: https://doi.org/10.5194/egusphere-2023-1733-RC1 - AC1: 'Reply on RC1', Nanhong Xie, 05 Feb 2024
-
RC2: 'Comment on egusphere-2023-1733', Anonymous Referee #2, 03 Jan 2024
This work built a new framework that couples terrestrial biosphere model and regional climate model. It is a novel and important investigation to explore the interaction between plants and climate change. Although the new model was evaluated using multi source data which showed a nice comparison, I think you should evaluate the ability of couple model through comparing the model results between couple and independent model (either biogenic model or climate model). We need to see if the coupled model works better than independent model. If so, how better? What is the dominant mechanism to improve the model perform through coupling? In addition, the description of couple method is not enough detail to help reader to understand this work. For example, meteorological variables and atmospheric pollutant concentrations generated by RegCM-Chem are incorporated into the YIBs model every six-minute intervals. Why do you determine the interval of six minutes? Another example, outputs from the YIBs are subsequently integrated back into the RegCM-Chem model, modulating atmospheric composition and atmospheric variables. How often do those outputs integrate back? How can these outputs from YIBs model change the atmospheric variables? Directly or indirectly? Â How do you calculate the biogenic VOC emission flux, which is needed to state briefly although it was described in reference.
Citation: https://doi.org/10.5194/egusphere-2023-1733-RC2 - AC2: 'Reply on RC2', Nanhong Xie, 05 Feb 2024
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Nanhong Xie
Tijian Wang
Xiaodong Xie
Filippo Giorgi
Qian Zhang
Danyang Ma
Rong Song
Baiyao Xu
Shu Li
Bingliang Zhuang
Mengmeng Li
Natalya Andreeva Kilifarska
Georgi Gadzhev
Reneta Dimitrova
The requested preprint has a corresponding peer-reviewed final revised paper. You are encouraged to refer to the final revised version.
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