Improved representation of plant physiology in the JULES-vn5.6 land surface model: photosynthesis, stomatal conductance and thermal acclimation

نویسندگان

چکیده

Abstract. Carbon and water cycle dynamics of vegetation are controlled primarily by photosynthesis stomatal conductance (gs). Our goal is to improve the representation these key physiological processes within JULES land surface model, with a particular focus on refining temperature sensitivity photosynthesis, impacting modelled carbon, energy fluxes. We test (1) an implementation Farquhar et al. (1980) scheme associated plant functional type-dependent photosynthetic response functions, (2) optimality-based gs from Medlyn (2011) (3) Kattge Knorr (2007) capacity thermal acclimation scheme. New parameters for each model configuration adopted recent large observational datasets that synthesise global experimental data. These developments incorporate current understanding behaviour into enable users derive direct links between ongoing measurement campaigns refine such parameter values. Replacement original Collatz (1991) C3 results in changes GPP day, ∼ 10 % reduction seasonal (June–August, JJA, December–February, DJF) mean tropical forests 20 increase northern high-latitude JJA. The decreases latent heat flux present day (∼ %, sensible flux) across regions dominated needleleaf evergreen forest Northern Hemisphere summer. Thermal coupled reduced up 5 increased high-northern-latitude 2 %. Evaluation simulated carbon fluxes against data products shows this latter generates improvements areas. improved JJA simulation evapotranspiration much Having established good performance contemporary period, we force new version offline future climate scenario corresponding rising atmospheric greenhouse gases (Shared Socioeconomic Pathway (SSP5), Representative Concentration 8.5 (RCP8.5)). In particular, calculations allow effects long-term warming. find impact increases (+50 %) year 2050 compared without acclimation. This also projects (+10 northern-latitude (+30 2050. conclude together have warming world.

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ژورنال

عنوان ژورنال: Geoscientific Model Development

سال: 2022

ISSN: ['1991-9603', '1991-959X']

DOI: https://doi.org/10.5194/gmd-15-5567-2022