An Eulerian evaluation of intense low-pressure systems over North America in CMIP6 and a regional climate model [0.03%]
CMIP6和区域气候模式中北美洲强低压系统的欧拉方法评估
Victorien De Meyer,Alejandro Di Luca,Philippe Gachon
Victorien De Meyer
Low-pressure systems, such as extratropical cyclones (ETCs), are a key component of mid-latitude climate variability and frequent drivers of extreme weather in North America. This study evaluates 27 CMIP6 global climate models (GCMs) and th...
The three causal pathways of ENSO teleconnections to High Mountain Asia winter precipitation [0.03%]
ENSO与南亚高山地区冬季降水之间联系的三条因果途径
Pritam Jyoti Borah,Antonios Mamalakis,Clement Guilloteau et al.
Pritam Jyoti Borah et al.
High Mountain Asia (HMA), spanning from the Hindu Kush to the Tibetan Plateau, encompasses tropical and subtropical regions highly susceptible to extreme precipitation events and associated hazards. El Niño-Southern Oscillation (ENSO) is o...
Seasonal forecasting using the GenCast probabilistic machine learning model [0.03%]
基于GenCast概率机器学习模型的季节性预测
Bobby Antonio,Kristian Strommen,Hannah M Christensen
Bobby Antonio
Machine-learnt weather prediction (MLWP) models are now well established as being competitive with conventional numerical weather prediction (NWP) models in the medium range. However, there is still much uncertainty as to how this performan...
Mesoscale Convective Systems in Northeastern North America: identification and evaluation with the convection-permitting version of the Canadian Regional Climate Model [0.03%]
北美的中尺度对流系统：利用加拿大区域气候模式的直接受热版本进行识别和评估
Milena Alpizar,Alejandro Di Luca,Philippe Gachon et al.
Milena Alpizar et al.
Extreme precipitation events are often associated with mesoscale meteorological phenomena, such as mesoscale convective systems (MCS). Convection-permitting models (CPMs), which operate at high spatial resolution, have enhanced our ability ...
Akshay Deoras,Andrew G Turner,S Lekshmi et al.
Akshay Deoras et al.
Moist heat impairs the human body's ability to cool through sweat-based evaporative cooling, posing a serious health risk. In India, this risk is especially acute, since the Indian summer monsoon (ISM) brings abundant moisture, and socio-ec...
Influence of global climate modes on wildfire occurrence in the contiguous United States under recent and future climates [0.03%]
过去和未来气候下全球气候模式对美国本土野火发生的影响
Theodore R Keeping,Theodore G Shepherd,I Colin Prentice et al.
Theodore R Keeping et al.
Predictable modes of climate variability, such as the El Niño Southern Oscillation (ENSO), have a major influence on regional weather patterns, an important control on wildfire occurrence. Although these global climate modes have been asso...
Systematic biases over the equatorial Indian Ocean and their influence on seasonal forecasts of the IOD [0.03%]
印度洋赤道地区系统偏差及其对IOD季节预报的影响
Marimel Gler,Andrew G Turner,Linda C Hirons et al.
Marimel Gler et al.
Accurate seasonal prediction of the Indian Ocean Dipole (IOD) is crucial given its socioeconomic impacts on countries surrounding the Indian Ocean. Using hindcasts from the Met Office Global Seasonal Forecasting System (GloSea6), coupled me...
Quantifying the state-dependent causal effect of Barents-Kara Sea ice loss on the stratospheric polar vortex in a large ensemble simulation [0.03%]
利用大型集合模拟量化巴伦支-喀拉海冰损失对平流层极涡的条件因果影响
Xiaocen Shen,Marlene Kretschmer,Theodore G Shepherd
Xiaocen Shen
The Barents-Kara Sea ice concentration (BKS) has undergone dramatic declines in recent decades, consistent with the overall reduction in sea ice across the Arctic region. There has been a long-standing scientific question whether this BKS l...
High-resolution climate models improve simulation of monsoon rainfall changes in the Ganga-Brahmaputra-Meghna basin [0.03%]
高分辨率气候模式改进了对恒河-布拉马普特拉河-梅格纳河流域季风降雨变化的模拟
Haider Ali,Hayley J Fowler,Andrew G Turner
Haider Ali
This study investigates the impact of model resolution on simulating South Asian monsoon rainfall, focusing on the Ganges-Brahmaputra-Meghna (GBM) basin. By comparing high- and low-resolution versions of four CMIP6 HighResMIP model families...
Simulated millennial-scale climate variability driven by a convection-advection oscillator [0.03%]
由对流- advectio振荡驱动的模拟千年尺度气候变异性
Yvan M Romé,Ruza F Ivanovic,Lauren J Gregoire et al.
Yvan M Romé et al.
The last glacial period, between around 115 and 12 thousand years before present, exhibited strong millennial-scale climate variability. This includes abrupt transitions between cold and warm climates, known as Dansgaard-Oeschger (D-O) cycl...