JpGU-AGU Joint Meeting 2020

講演情報

[E] ポスター発表

セッション記号 A (大気水圏科学) » A-CG 大気海洋・環境科学複合領域・一般

[A-CG52] Large Ensemble Modeling Approaches as Tools for Climate and Impacts Research

コンビーナ:Rodgers Keith Bradley(IBS Center for Climate Physics)、見延 庄士郎(北海道大学大学院理学研究院)、塩竈 秀夫(国立環境研究所地球環境研究センター)、水田 亮(気象庁気象研究所)

[ACG52-P06] Future change in phytoplankton phenology simulated by large ensemble experiment

*山口 凌平1Rodgers Keith1,2Stein Karl1,2Timmermann Axel1,2Dunne John3Slater Richard4Schlunegger Sarah4 (1.IBS Center for Climate Physics、2.Pusan National University、3.NOAA Geophysical Fluid Dynamics Laboratory、4.Princeton University)

キーワード:Large ensemble、Phytoplankton bloom、phenology、future change

While future changes in annual mean ocean biogeochemical properties (Net Primary Production, Export Production, Chlorophyll concentration etc.) has been studied, there are still only few descriptions and estimates of changes in the seasonal cycle itself. Changes in phytoplankton bloom phenology (initiation and peak timing) should have significant impacts on higher trophic levels, even on fisheries, and on the oceanic carbon cycle, since it is one of largest biogeochemical seasonal signal and could characterize the seasonal biological activity. However, it is challenging to estimate the forced long-term phenological changes as they are embedded in natural variability. In present study, we use a 30-member ensemble simulated by Geophysical Fluid Dynamics Laboratory Earth System Model 2 (GFDL-ESM2M) to deconvolve the forced signal from intrinsic variability in bloom phenology. Using daily mean surface chlorophyll concentrations, we detect the bloom timing shift precisely and estimate the emergence time-scale under a historical/RCP8.5 pathway over 1990-2100.
Over global scales, bloom initiation reveals large structured shifts over the 21st century, with large emergent shifts towards earlier blooms (~few days/decade) north of 30°N, and zonal heterogeneity of the sign of the shift over the Southern Ocean. On the other hand, bloom peak timing is expected to shift more than the initiation, indicating the bloom duration will also change significantly by the end of this century. As the results from budget analysis and the taylor decomposition, a range of variables are considered for attribution of the changes, including not only growth rate (that is, temperature, light, and nutrient) but also loss rate (grazing pressure as a function of temperature and biomass).