Quantifying Arctic-boreal methane emissions using atmospheric observations and a global inverse model [0.03%]
利用大气观测和全球反演模型量化北极-亚北极地区的甲烷排放量
L S Basso,C Rödenbeck,V Brovkin et al.
L S Basso et al.
The Arctic-Boreal region is vulnerable to rapid climate change. Thawing of the permafrost and extended warm periods are expected to turn the region into a hotspot of enhanced CH4 emissions. We estimated CH4 fluxes by assimilating atmospheri...
Large discrepancies in dominant microphysical processes governing mixed-phase clouds across climate models [0.03%]
气候模型中混相云主导微物理过程的巨大差异
Hannah C Frostenberg,Montserrat Costa-Surós,Paraskevi Georgakaki et al.
Hannah C Frostenberg et al.
The balance between liquid and ice in clouds remains a major challenge in climate modeling, largely due to uncertainties in ice-related processes. We investigate the relative importance of four microphysical processes-primary ice nucleation...
Parameterising the effect of human occupancy and kinetic energy on indoor air pollution [0.03%]
人体占据情况和动能对室内空气污染的影响参数化分析
Dimitrios Bousiotis,Dylan S Sanghera,Jenny Carrington et al.
Dimitrios Bousiotis et al.
Indoor air quality (IAQ) is increasingly recognised as one of the most important aspects for public health, workplace safety and productivity. While indoor and outdoor factors both influence indoor pollutant levels, human presence and activ...
No decrease of tropical convection in individual deep convective systems with global warming [0.03%]
全球变暖下热带对流系统个体对流活动没有减弱迹象
Maximilien Bolot,Rémy Roca,Thomas Fiolleau et al.
Maximilien Bolot et al.
According to the scientific consensus, tropical convection must decrease with global warming. This decrease is manifested by a decrease of the mass transported in the upward branch of the atmospheric overturning circulation - the convective...
Non-linear dynamical approaches for characterizing multi-sector climate impacts under irreducible uncertainty [0.03%]
不可约简不确定性下的多部门气候影响的非线性动力学方法研究
Rachindra Mawalagedara,Arnob Ray,Puja Das et al.
Rachindra Mawalagedara et al.
Internal climate variability (ICV) remains a major source of uncertainty in climate projections, complicating impact assessments across critical sectors, especially at stakeholder-relevant scales. Given that ICV emerges from the nonlinear i...
Robust impact of tropical Pacific SST trends on global and regional circulation in boreal winter [0.03%]
热带太平洋海温变化对北半球冬季全球和区域环流影响的模态及机制研究
Joonsuk M Kang,Rhidian Thomas,Nick Dunstone et al.
Joonsuk M Kang et al.
Evidence has emerged of a discrepancy in tropical Pacific sea surface temperature (SST) trends over the satellite era, where most coupled climate models struggle to simulate the observed La Niña-like SST trends. Here we highlight wider imp...
Contrasting historical trends of atmospheric rivers in the Northern Hemisphere [0.03%]
北半球大气河流历史变化趋势的对比分析
Mengxin Pan,Shineng Hu,Benjamin F Zaitchik et al.
Mengxin Pan et al.
Previous modeling studies have indicated that Atmospheric rivers (ARs) will become more frequent in the warming climate. However, whether we have experienced more ARs during historical period is less studied. Here, we show that winter AR fr...
Observational evidence of compensatory influences of deforestation on downwind precipitation in Brazilian breadbaskets [0.03%]
巴西亚马孙森林砍伐对下风向千里达和皮奥伊降水影响的观测证据
Hao Li,Damián Insua-Costa,Akash Koppa et al.
Hao Li et al.
Stable and predictable wet-season rainfall is crucial for soybean production in Brazil. However, climate and land-use changes, particularly Amazon deforestation, have increased rainfall variability in the region in recent decades. Here, we ...
A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation [0.03%]
一种概率的、时空连贯的气候模拟降尺度生成框架
Jonathan Schmidt,Luca Schmidt,Felix M Strnad et al.
Jonathan Schmidt et al.
Local climate information is crucial for impact assessment and decision-making, yet coarse global climate simulations cannot capture small-scale phenomena. Current statistical downscaling methods infer these phenomena as temporally decouple...
CO2-induced climate change assessment for the extreme 2022 Pakistan rainfall using seasonal forecasts [0.03%]
利用季节预报评估二氧化碳引起的气候变迁对2022年巴基斯坦极端降雨的影响
Antje Weisheimer,Tim N Palmer,Nicholas J Leach et al.
Antje Weisheimer et al.
While it is widely believed that the intense rainfall in summer 2022 over Pakistan was substantially exacerbated by anthropogenic climate change1,2, climate models struggled to confirm this3,4. Using a high-resolution operational seasonal f...