{"title":"Strong tropical cyclones have a more gradual increase trend through interaction with ocean subsurface","authors":"Xinran Wang,Lei Zhou,I-I Lin,Hui Su,Han Zhang,Shoude Guan","doi":"10.1038/s41612-026-01534-1","DOIUrl":"https://doi.org/10.1038/s41612-026-01534-1","url":null,"abstract":"","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"27 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2026-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pramod Adhikari,Bart Geerts,Stefan Rahimi,Kristen L. Rasmussen,Bridger Huhn,Mikkel Quam
{"title":"Charting resilience at Rocky Mountain ski areas as winters shrink","authors":"Pramod Adhikari,Bart Geerts,Stefan Rahimi,Kristen L. Rasmussen,Bridger Huhn,Mikkel Quam","doi":"10.1038/s41612-026-01530-5","DOIUrl":"https://doi.org/10.1038/s41612-026-01530-5","url":null,"abstract":"","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"32 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2026-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148893636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rising vapor pressure deficit and fuel availability exacerbate the dispersion of intra-annual burned area","authors":"Hongtao Xu, Ziqian Zhong, Rui Tang, Yuanfang Chai, Fei Zhang, Yichen Li, Xiaoqi Hu","doi":"10.1038/s41612-026-01524-3","DOIUrl":"https://doi.org/10.1038/s41612-026-01524-3","url":null,"abstract":"Continuing climate warming is creating more favorable burning conditions both within and outside the core fire seasons, such as drier vegetation, increased fuel load, and more frequent lightning. These changes are expected to reshape wildfire regimes, with profound implications for wildfire management practices and the terrestrial carbon cycle. However, limited knowledge exists regarding how the seasonal regimes of wildfires respond to continued warming and what consequences this has for fire-related carbon emissions. Our analysis of satellite-derived burned area data reveals a widespread increase in the dispersion of burned area, particularly in most regions of Eurasia, South America, and Australia. Nonetheless, estimates based on the fire weather index tend to underestimate these increases. This increasing dispersion of burned area is primarily driven by increased vapor pressure deficit and fuel availability, which promote more burned areas outside the core fire season. Nevertheless, the increased dispersion of burned area does not lead to a synchronous rise in the dispersion of fire-related carbon emissions. This decoupling occurs because carbon emission per unit of burned area significantly rises within the core fire season but insignificantly changes outside it. Our results highlight the critical role of warming in reshaping seasonal wildfire regimes and have important implications for wildfire management and global carbon budget estimation.","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"17 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148853469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Qian Wu, Song Hong, Chao He, Lei Zhang, Shuai Shi, Bin Chen, Lanzhou Chen
{"title":"Global fire activity exacerbates extreme PM2.5 pollution","authors":"Qian Wu, Song Hong, Chao He, Lei Zhang, Shuai Shi, Bin Chen, Lanzhou Chen","doi":"10.1038/s41612-026-01527-0","DOIUrl":"https://doi.org/10.1038/s41612-026-01527-0","url":null,"abstract":"Extreme PM2.5 pollution events pose substantial threats to public health and environmental sustainability. However, under climate change, the relationship between global fire activity and extreme PM2.5 pollution remains insufficiently understood. Using 0.25° × 0.25° gridded data from 2004 to 2023, this study employs quantile regression models to assess the influence of global fire activity on extreme PM2.5 pollution. Results show that fire activity has a significant positive relationship with PM2.5 concentrations across all quantiles, with this relationship becoming particularly pronounced under extreme pollution conditions. At the 95th percentile, the fire-related regression coefficient reaches 0.899 (p < 0.05), which is 2.9 and 4.5 times higher than the coefficients at the 50th (0.310) and 10th (0.197) percentiles, respectively. Spatial autocorrelation analysis further reveals that regions where extreme PM2.5 pollution is strongly associated with fire activity exhibit significant spatial clustering (Moran’s I = 0.036, p < 0.01). Notably, Canada in North America, Siberia in Asia, Brazil in South America, and Indonesia in Southeast Asia are identified as the most strongly affected regions. These findings improve understanding of the role of fire activity in extreme PM2.5 pollution and provide important evidence for strengthening global air quality management and emergency response strategies.","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"2 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148853468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Siyu Zhao, Long Cao, Yu Fang, Panxi Dai, Jiaying Zhang
{"title":"Unintended winter–early spring warming over North America caused by tropical and subtropical deployment of marine cloud brightening","authors":"Siyu Zhao, Long Cao, Yu Fang, Panxi Dai, Jiaying Zhang","doi":"10.1038/s41612-026-01525-2","DOIUrl":"https://doi.org/10.1038/s41612-026-01525-2","url":null,"abstract":"Marine cloud brightening (MCB) aims to reduce global warming, but its regional impacts remain uncertain. Using the Community Earth System Model, we implement MCB over a portion of tropical and subtropical oceans under SSP2-4.5. Despite overall cooling, MCB induces significant warming over mid-eastern North America in winter-to-early spring. The response originates mainly in the tropical and subtropical eastern Pacific, where MCB cools the atmosphere by reflecting solar radiation. This change modifies extratropical circulations through Gill-type and Rossby wave responses. The circulation changes warm mid-eastern North America via two pathways: suppressed synoptic disturbance activity, which reduces cloud cover and increases downward shortwave radiation, and enhanced positive temperature advection. This MCB-induced warming resembles that associated with a strong La Niña event, with implications for snowpack and water resources. Our results highlight potential unintended risks of regional MCB and the need for a better understanding of process-level teleconnection response to climate intervention strategies.","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"1 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148853472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ziyang Cao, Mingting Li, Arnold L. Gordon, Dongxiao Wang
{"title":"Maritime Continent freshening intensifies the observed La Niña-like warming","authors":"Ziyang Cao, Mingting Li, Arnold L. Gordon, Dongxiao Wang","doi":"10.1038/s41612-026-01523-4","DOIUrl":"https://doi.org/10.1038/s41612-026-01523-4","url":null,"abstract":"The Indo-Pacific Maritime Continent (MC) is the site of intense atmospheric convection, associated with the Walker Circulation, which significantly influences global climate. Observations reveal decreasing sea surface salinity (SSS) in the MC region since 1960, which was a consequence of enhanced freshwater flux. The observed sea surface temperature (SST) increasing trends of the tropical Pacific in the past decades exhibit La Niña-like patterns, with enhanced western tropical Pacific warming and eastern cooling, which diverge from many climate model results. This study explores how MC freshening influences the La Niña-like pattern under global warming. Sensitivity experiments demonstrate that imposed MC freshening enhances near-surface stratification, shoaling the mixed layer and amplifying western Pacific warming. The intensified zonal SST gradient strengthens the Walker circulation, enhancing easterly winds and equatorial upwelling, thereby cooling the eastern Pacific. CMIP6 simulations analysis corroborates that salinity-modulated stratification significantly influences Pacific SST patterns, underscoring the need for improved observations and model performance of the MC region water cycle, as well as associated upper-ocean thermohaline stratification patterns.","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"41 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148853470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Global-regional nested forecasting of soil moisture","authors":"Quan. Zhang, Yuze. Sun, Wenbin. Liu, Yichuan. Zhang, Jiaolong. Ying, Yanyan. Huang, Yanfei. Xiang, Dongxiao. Xu, Shuo. Wang, Le. Yu, Xiaomeng. Huang","doi":"10.1038/s41612-026-01522-5","DOIUrl":"https://doi.org/10.1038/s41612-026-01522-5","url":null,"abstract":"Soil moisture is a key component of the Earth system and is important for ecosystem functioning and water resources. However, existing approaches still face limitations in soil moisture forecast skill and spatial resolution. Here, we develop an Artificial Soil Moisture Forecasting Model (ASM) with a global–regional nested framework that links global low-resolution prediction with regional high-resolution forecasting. ASM consistently outperforms representative deep learning models across forecast lead times, with ablation experiments confirming the contributions of its major architectural components. Compared with ECMWF, ASM more closely reproduces ERA5 soil moisture fields and preserves greater spatial heterogeneity at 1° resolution. At a 14 day lead time, ASM achieves an ACC of 0.612, demonstrating reliable early-subseasonal forecast skill. At the regional scale, ASM provides 0.1° soil moisture forecasts for Henan Province, China, and Southern Africa, while improving extreme drought detection relative to ECMWF-driven forecasts. Attribution analysis shows that antecedent soil moisture is the dominant predictor, accounting for 61.2% of the total attribution and highlighting the importance of soil moisture memory. Soil-moisture-only autoregressive experiments further highlight that external atmospheric forcing remains essential for maintaining forecast skill. Overall, ASM provides an scalable and interpretable framework for synoptic-to-early-subseasonal soil moisture forecasting.","PeriodicalId":19438,"journal":{"name":"npj Climate and Atmospheric Science","volume":"180 1","pages":""},"PeriodicalIF":9.0,"publicationDate":"2026-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148853471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}