【一句话快讯】北京地理环境增大生物入侵风险——目前，京郊农田大量施用氮肥，造成土壤氮素的积累。实验证明，氮素增加有利于外来入侵植物的生长。（来源：中国科学报 扈中平）
【一句话快讯】研究实现用蘑菇茄子运输天然气——除运送天然气，该方法还可用于治理温室气体——把二氧化碳“融”进茄子和蘑菇的水分当中，埋入地下，让大自然去消化它。（来源：中国科学报 李洁尉 卢庆雷 夏雪峰）
【未来甲烷、羟基排放预测】C. D. Holmes M. J. Prather O. A. Søvde and G. Myhre. Future methane hydroxyl and their uncertainties: key climate and emission parameters for future predictions.
Accurate prediction of future methane abundances following a climate scenario requires understanding the lifetime changes driven by anthropogenic emissions meteorological factors and chemistry-climate feedbacks. Uncertainty in any of these influences or the underlying processes implies uncertainty in future abundance and radiative forcing. We simulate methane lifetime in three chemical transport models (CTMs) – UCI CTM GEOS-Chem and Oslo CTM3 – over the period 1997–2009 and compare the models' year-to-year variability against constraints from global methyl chloroform observations. Using sensitivity tests we find that temperature water vapor stratospheric ozone column biomass burning and lightning NOx are the dominant sources of interannual changes in methane lifetime in all three models. We also evaluate each model's response to forcings that have impacts on decadal time scales such as methane feedback and anthropogenic emissions. In general these different CTMs show similar sensitivities to the driving variables. We construct a parametric model that reproduces most of the interannual variability of each CTM and use it to predict methane lifetime from 1980 through 2100 following a specified emissions and climate scenario (RCP 8.5). The parametric model propagates uncertainties through all steps and provides a foundation for predicting methane abundances in any climate scenario. Our sensitivity tests also enable a new estimate of the methane global warming potential (GWP) accounting for stratospheric ozone effects including those mediated by water vapor. We estimate the 100-yr GWP to be 32 which is 25% larger than past assessments.
【欧洲氨排放】C. A. Skjøth and C. Geels. The effect of climate and climate change on ammonia emissions in Europe.
We present here a dynamical method for modelling temporal and geographical variations in ammonia emissions in regional-scale chemistry transport models (CTMs) and chemistry climate models (CCMs). The method is based on the meteorology in the models and gridded inventories. We use the dynamical method to investigate the spatiotemporal variability of ammonia emissions across part of Europe and study how these emissions are related to geographical and year-to-year variations in atmospheric temperature alone. For simplicity we focus on the emission from a storage facility related to a standard Danish pig st
