Using CMIP6's 12 #climate models to evaluate #blackcarbon (BC) in historical and future scenario simulations for #East #Asia, we found that the means are about twice the observed BC concentrations and do not reproduce the declining trends. https://t.co/D8OxDx25oO https://t.co/TX31Y8bPUp
This is the first time that 1000 years of large ensemble experiments have been conducted to detect the role of sea-surface conditions in Southern-Hemisphere #polar #vortex strength and #ozonehole by chemistry–climate models with 1,000 ensemble members. https://t.co/6YcahwXsir https://t.co/XJAUoBk9SD
Temporal variations of atmospheric radon-222 (222Rn) were observed in Japan. Normalized diurnal cycles of 222Rn in winter were consistent between observations and simulations and were driven by variations in planetary boundary layer height. #ClimateChange
https://t.co/LQeqJ0mNOc https://t.co/c9KSJ73dnk
We estimated #CH4 emissions from paddy fields in East Asia and found large estimation uncertainties. CH4 emission scheme, paddy field map, and inundation seasonality were responsible for the disparity among the estimates. #ClimateChange
https://t.co/IxYolpVMkg https://t.co/JrwFSpDE54
We examined the synoptic-scale variabilities of atmospheric #CO2 and #CH4 observed on Yonaguni Island, Japan. The monthly mean ΔCO2/ΔCH4 ratio showed an abrupt decrease in February 2020, presumably caused by the #COVID19 lockdown in China. #ClimateChange
https://t.co/EyUB2K5zKQ https://t.co/DLA7GtcTBH
We ranked mini-ensemble projections around Japan among a full CMIP6 GCM ensemble and showed that the selected five models captured the full ranges without systematic biases, except for relative humidity. #ClimateChange
https://t.co/Z6vPux22QJ https://t.co/sWDrMKL9T8
We explored the long-term variability of #methane emissions in subtropical South America in 2009-2015 estimated from space-based observations. Methane emissions coherently varied with precipitation and inundation areal extent. #ClimateChange
https://t.co/vI5Z3FOvMO https://t.co/5IoVi2r2DR
An analysis of the long-term trends of net ecosystem #CO2 exchange (NEE), gross primary production (GPP), ecosystem respiration (RE) and related variables at #FLUXNET2015 sites showed increasing trends as net CO2 sinks at 58% of the sites. #ClimateChange
https://t.co/MaThNx24P4 https://t.co/9dPwf33Wj9
We made high-precision measurements of the depth profiles of the composition of air in the snow layer above the ice sheets (firn) in North Greenland. The firn preserves air composition up to a century back in time. #ClimateChange @AIST_EN
https://t.co/9PVxihgFoH https://t.co/jG2152U8TT
We developed a method to select a subset of 5 climate models that captures the uncertainty ranges for 8 variables and has good performances in present-climate simulation to provide better scenarios for impact and adaptation studies in Japan. #ClimateChange
https://t.co/73y7WDnzlZ https://t.co/ejvRqSqxzg
Soil carbon (C) fluxes are key factors in the mitigation and adaption of future #ClimateChange. This review focuses on soil C flux responses to environmental factors and model estimation of fluxes by the regional flux measurement network, AsiaFlux.
https://t.co/pQ19tT8iRe https://t.co/xwja0M1B1W
We used a chemistry-transport model to estimate regional #CH4 emissions by inverse modelling. We showed reductions in emissions from Europe/Russia since 1988 and increases in emissions from coal mining mainly in China from 2007. #ClimateChange
https://t.co/Y8kqWW2oep https://t.co/y02hbepz2q
We review the model studies on terrestrial ecosystems done by the regional flux measurement network, AsiaFlux. We discuss the status and issues in data-model integration, regional synthesis, and future projection with the models. #ClimateChange
https://t.co/nnBZ7MD2hx https://t.co/Lrk8lnDETg
We assessed the resolution dependency of #BlackCarbon (BC) transport from Siberia to the Arctic using NICAM-SPRINTARS. We found that BC transport was enhanced by low-pressure systems in the fine horizontal resolution (∼ 56 km) models. #ClimateChange
https://t.co/fzGoeQxbd0 https://t.co/2TTu9fTQqr
We investigated the growth rate of the column-averaged #methane dry air mole fraction (XCH4) in Siberia using #GOSAT data and showed that methane emissions from wetlands in West Siberia increased during summer in recent years. #ClimateChange
https://t.co/UmczWWpNaR https://t.co/2GRaFVJMkV
We developed a novel method to select a subset of climate models for climate change impact assessment in Japan. The models selected are well distributed and not biased within their uncertainty range. #ClimateChange
https://t.co/eiVMwaHV0P https://t.co/NJtyuymSaV
We found large uncertainties using the BC methods for daily precipitation indices even in the near future. Our results indicate that BC methods are an important source of uncertainty in climate risk assessments. #ClimateChange
https://t.co/ruKm1lXQNq
(2/2) https://t.co/Mz27mG1zph
We developed bias-corrected (BC) climate scenarios using a cumulative distribution function-based downscaling method and a Gaussian-type Scaling approach and compared spatial distribution, monthly variation, and future trends. #ClimateChange
https://t.co/ruKm1lXQNq
(1/2) https://t.co/QosRCaZfuL
We showed that the July 2018 high temperature event in Japan would not have happened without man-made #GlobalWarming and that extremely hot days in Japan are expected to increase 1.8 times under a global warming level of 2°C above pre-industrial levels.
https://t.co/DD0Qqrs81v https://t.co/3k7aYmreu2