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...
Sophie Abramian,Caroline Muller,Camille Risi et al.
Sophie Abramian et al.
Deep Convective Systems (DCSs) reaching scales of 100-1000 km play a pivotal role as the primary precipitation source in the tropics. Those systems can have large cloud shields, and thus not only affect severe precipitation patterns but als...
Dynamic calibration of low-cost PM2.5 sensors using trust-based consensus mechanisms [0.03%]
基于信任的共识机制下的低成本PM2.5传感器动态校准研究
Sachit Mahajan,Dirk Helbing
Sachit Mahajan
Low-cost particulate matter (PM) sensors enable high-resolution urban air quality monitoring but face challenges from offsets, scaling mismatches, and drift. We propose an adaptive trust-based calibration framework that first corrects syste...
Photochemistry of iron-containing secondary organic aerosol is impacted by relative humidity during formation [0.03%]
相对湿度影响含铁二次有机气溶胶生成过程中的光化学反应
Natasha M Garner,Fabian Mahrt,Jens Top et al.
Natasha M Garner et al.
Secondary organic aerosol (SOA) comprises most of the submicron atmospheric particle mass, and often becomes internally mixed with other particles. When SOA mixes with transition metal (e.g., iron) containing particles, metal-organic comple...
Finer resolutions and targeted process representations in earth system models improve hydrologic projections and hydroclimate impacts [0.03%]
地球系统模型中更精细的分辨率和有针对性的过程表征改善了水文预测和水文气候影响
Puja Das,Auroop R Ganguly
Puja Das
Earth system models inform water policy and interventions, but knowledge gaps in hydrologic representations limit the credibility of projections and impacts assessments. The literature does not provide conclusive evidence that incorporating...