{"title":"Assessing the Impact of Post-Fire Land-Surface Changes on Weather Forecasting in Two Forested Areas","authors":"Siwei He","doi":"10.1002/asl.1310","DOIUrl":"10.1002/asl.1310","url":null,"abstract":"<p>Wildfires have extensively burned areas worldwide, with significant impacts in various aspects of life. Among these, wildfires affect land-surface properties, such as vegetation nature and soil characteristics, from active burning to years and decades afterward. Despite this, the qualitative effects of post-wildfire conditions on short-term weather forecasting remain obscure. In this study, we investigated the impact of post-wildfire conditions on weather forecasting by considering post-wildfire land-surface conditions using the Weather Research and Forecasting (WRF) model in two burned forest areas. The changes in land-surface properties caused by wildfires were considered, including vegetation fraction, leaf area index, roughness length, emissivity, and soil hydraulic conductivity. The results show that post-wildfire land-surface properties have noticeable impacts on near-surface variables and atmospheric profiles. Over the study areas, the simulated near-surface air temperature could be approximately 1 K cooler and 0.75 g/kg moister if post-wildfire conditions are ignored, with impacts extending more than 3 km high in the vertical direction. This study also demonstrates that the effects of changes in land-surface properties over burned areas could extend to surrounding unburned areas.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"26 9","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1310","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144930030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Recent Revision of the Water Vapour Continuum Model and Impact on Clear-Sky Shortwave Broadband Radiative Transfer Calculations","authors":"Kaah P. Menang","doi":"10.1002/asl.1318","DOIUrl":"10.1002/asl.1318","url":null,"abstract":"<p>The water vapour continuum needs to be accurately accounted for in atmospheric radiative transfer calculations. The offline ECMWF radiation scheme was used to assess the impact of the current disagreements in shortwave continuum absorption on the accuracy of clear-sky calculations of solar fluxes and heating rates from 2000 to 20,000 cm<sup>−1</sup> for three standard atmospheres: tropical, mid-latitude summer, and sub-arctic winter. These calculations were carried out at a solar zenith angle of 45°, surface albedo of 0.2, and total solar irradiance of 1361.0 W m<sup>−2</sup>. The MT_CKD 2.5, MT_CKD 4.2, and CAVIAR continuum models were compared. These continuum models were each used to train the gas-optics tables required by the radiation scheme. Differences in the shortwave continuum have a modest impact on shortwave absorption and heating rates. The largest differences are found in the tropical atmosphere due to its higher water vapour content. Absorbed fluxes computed with MT_CKD 2.5 and MT_CKD 4.2 differ by up to ~1.3 W m<sup>−2</sup> (0.6%) while those with CAVIAR and MT_CKD 4.2 differ by up to ~1.7 W m<sup>−2</sup> (0.8%). The heating rate calculated with MT_CKD 2.5 is up to ~0.018 K d<sup>−1</sup> (0.8%) less than that obtained with MT_CKD 4.2. Compared to the heating rate computed with MT_CKD 4.2, the heating rate with CAVIAR is up to ~0.035 K d<sup>−1</sup> (1.5%) higher.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"26 9","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1318","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144930031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Matthew Patterson, Daniel J. Befort, Julia F. Lockwood, John Slattery, Antje Weisheimer
{"title":"The Representation of Surface Temperature Trends in C3S Seasonal Forecast Systems","authors":"Matthew Patterson, Daniel J. Befort, Julia F. Lockwood, John Slattery, Antje Weisheimer","doi":"10.1002/asl.1316","DOIUrl":"10.1002/asl.1316","url":null,"abstract":"<p>We assess near-surface temperature and sea surface temperature trends in 8 seasonal forecast systems in the Copernicus Climate Change Service archive, over the common hindcast period (1993–2016). All but one of the systems show a faster warming of the global-mean, relative to observations in both boreal summer and winter seasons. On average, systems warm at 0.21 K/decade and 0.22 K/decade for winter and summer, respectively, compared to 0.17 K/decade and 0.19 K/decade for ERA5. In summer, forecast systems tend to show an excessive warming of the tropical Pacific, tropical Atlantic and southern mid-latitudes, which contributes to the difference in global warming rates compared to observations. In contrast, greater warming in the northern mid-latitudes contributes most to trend differences for winter. The faster warming of models over this period has important implications for seasonal forecasts of future global and regional temperature and suggests further work is required to understand this bias.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"26 8","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://rmets.onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1316","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144833112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanjie Liu, Xiaocong Wang, Yimin Liu, Hao Miao, Xuesong Zhu, Wei Huang, Yaxin Zhao, Kai Wang
{"title":"Mechanistic Impacts of a Scale-Aware Convection Scheme on Typhoon Intensity: Diagnostics From Minimum Sea-Level Pressure","authors":"Yanjie Liu, Xiaocong Wang, Yimin Liu, Hao Miao, Xuesong Zhu, Wei Huang, Yaxin Zhao, Kai Wang","doi":"10.1002/asl.1315","DOIUrl":"10.1002/asl.1315","url":null,"abstract":"<p>This study investigates the impact of a scale-aware convective parameterization scheme (CPS) on the simulation of typhoon track and intensity through a series of experiments using the Global-to-Regional Integrated Forecast SysTem (GRIST) model. The results of four typhoon cases show the scale-aware CPS generally reduces the track error by about 15 km and the intensity error by about 10% compared to the default CPS. By analyzing the budget equation of surface pressure tendency, we found the surface pressure fall due to CPS heating is about 0.6 hPa h<sup>−1</sup> weaker when the scale-aware CPS is used. This is, however, compensated by enhanced microphysics heating, which more than offsets the reduction in CPS and yields a net pressure depression of about 1 hPa h<sup>−1</sup>. In fact, when parameterized convection is suppressed, the microphysics process takes up the convective instability left over by CPS and stimulates even stronger diabatic heating by 13.8%. The increased microphysics precipitation, along with the intensified grid-scale ascending, further validates the assertion. The results of this study demonstrate the benefits of scale-aware CPS on typhoon modeling.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"26 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1315","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gan Xu, Huijie Shi, Shoujuan Shu, Xuesong Chen, Jiabei Gu, Weijun Li
{"title":"Does Warming of the Tibetan Plateau Intensify or Weaken the Precipitation Rate of Landfalling Tropical Cyclones in China?","authors":"Gan Xu, Huijie Shi, Shoujuan Shu, Xuesong Chen, Jiabei Gu, Weijun Li","doi":"10.1002/asl.1314","DOIUrl":"10.1002/asl.1314","url":null,"abstract":"<p>China faces the Northwest Pacific with the world's most active tropical cyclones (TCs). Whether and how the warming of the “Roof of the World”, the Tibetan Plateau (TP), influences the environmental field and precipitation of landfalling TC (LTC) remains unclear. In this study, a data-driven objective classification reveals that the key environmental field influencing the LTC precipitation in China is closely related to the TP-related high pressure. The precipitation rate of LTC in China exhibits an overall increasing trend over the past 43 years under TP warming. However, the trend of the precipitation rate depends on environmental fields. For LTCs affecting southeastern China, the South Asian High (SAH) intensifies and extends eastward, the Western Pacific Subtropical High (WPSH) shifts westward but weakens, stabilizing the atmosphere and reducing precipitation rate. For LTCs impacting southern China, the SAH and WPSH strengthen, increasing atmospheric instability and enhancing precipitation rate.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"26 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1314","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144666540","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Linkage Between the Siberian Storm Track and the Winter Precipitation in China","authors":"Minghao Yang, Weikai Lu, Chaohui Chen, Yongqiang Jiang, Xiong Chen","doi":"10.1002/asl.1311","DOIUrl":"10.1002/asl.1311","url":null,"abstract":"<p>The most active synoptic-scale disturbances in Eurasia are embedded within the Siberian storm track. This paper investigates the linkage between the winter Siberian storm track (WSST) and the winter precipitation in China and explores the underlying physical processes. The results show that an intensified WSST is associated with a decrease in winter precipitation along the southeast coast of China and in the East China Sea on the interannual scale. The anomalous low-level northerly winds over eastern China and upper-level positive vorticity anomalies over the East China Sea, accompanied by the subsidence, exert an inhibitory effect on precipitation. The anomalous moisture flux divergence related to northerly winds reduces the moisture supply. The interaction between WSST and mean flow may sustain the anomalous large-scale atmospheric circulation and baroclinicity. In addition, synoptic-scale disturbances originating from the WSST region propagate to the East China Sea, forming cyclonic circulation anomalies that are unfavorable for precipitation.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"26 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1311","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Bias Correction of Terrestrial Water Availability: Comparison of Trend-Preserving Cumulative Distribution Function Matching Methods","authors":"Jingyi Li, Boqiang Qin","doi":"10.1002/asl.1312","DOIUrl":"10.1002/asl.1312","url":null,"abstract":"<p>Terrestrial water availability, quantified by precipitation minus evapotranspiration (P−E), is essential in Earth's water cycle, whereas model simulation of P−E is still largely biased and requires a post-processing procedure. This study introduces the grid-by-grid cumulative distribution function (CDF) matching method to correct simulation bias in P−E, based on the ERA5-Land dataset and outputs from 13 selected CMIP6 global climate models. The CDF matching method has a particular advantage in preserving the trends simulated by laws of physics in climate models, and three (additive, multiplicative, and additive–multiplicative mixed) trend preservation strategies are compared in this study. The cross-validation from 1951 to 2014 indicates that all the trend preservation strategies effectively improve the simulated spatial characteristics of P−E with increased spatial correlation, enhanced sign agreement and reduced mean absolute error. Specifically, the additive strategy outperforms in improving the spatial similarity and accuracy of P−E in the humid region and global average, whereas the mixed strategy is the optimal in the hyper-arid, arid, and semi-arid regions. Furthermore, the mixed strategy has a significant advantage in preserving the signs of P−E across the globe. This study exhibits a computationally efficient statistical approach for bias correction of P−E simulation, and validates its flexible correction strategies regarding different terrestrial aridity conditions.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"26 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1312","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144634956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Increasing Trend of Summer Monsoonal Rainfall Tied to the Extension of the South China Sea Summer Monsoon Duration","authors":"Lang Song, Peng Hu, Wen Chen, Ruowen Yang, Tianjiao Ma, Yuqiong Zheng","doi":"10.1002/asl.1308","DOIUrl":"10.1002/asl.1308","url":null,"abstract":"<p>Previous studies on the South China Sea Summer Monsoon (SCSSM) mainly focused on a certain stage of its seasonal march. In this manuscript, we consider the monsoon onset and retreat as a whole and analyze the duration of the SCSSM and the monsoonal rainfall. We first verify the reasonableness of the SCSSM onset and retreat dates derived from the National Climate Center of China Meteorological Administration, and thus obtain the monsoon duration. Direct validation shows that longer SCSSM durations are associated with the anomalous westerly wind and warm–humid airmass, and vice versa, and thus the monsoon duration is trustworthy. The SCSSM duration shows remarkable low-frequency variations after the mid-2000s (increasing from 25.2 pentads to 28.5 pentads), which is mainly associated with the interdecadal delayed monsoon retreat. Corresponding to the extension of SCSSM duration by more than half a month, the monsoonal rainfall across the East Asia–western North Pacific also shows a significant increase. Compared to the traditional summertime rainfall over a fixed period (i.e., from May to September), our newly defined monsoonal rainfall (i.e., total rainfall within the monsoon duration) may be more physically meaningful and reflective of climatic changes.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"26 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1308","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144551043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Capturing Subgrid Cold Pool Dynamics With U-Net: Insights From Large-Eddy Simulation for Storm-Resolving Modeling","authors":"Yi-Chang Chen, Chien-Ming Wu","doi":"10.1002/asl.1309","DOIUrl":"10.1002/asl.1309","url":null,"abstract":"<p>This study explores the potential of deep learning as a subgrid parameterization for global storm-resolving models (GSRMs) by employing Large-Eddy Simulation (LES) to generate high-resolution cold pools under various convective structures. The high-resolution data is coarsened to 0.8, 1.6, 3.2, and 6.4 km to mimic the horizontal resolutions of GSRMs. U-Net deep learning models are developed to predict the high-resolution distribution of cold pools using coarsened near-surface (at height of 100 m) physical variables, including horizontal winds, potential temperature, and relative humidity. Results show that the U-Net models effectively capture cold pool characteristics, particularly their edges and intensity distribution at coarser scales. Additionally, high-resolution predictions provide enhanced information on horizontal heterogeneity that is not fully captured by low-resolution fields across different convective regimes. Sensitivity experiments indicate that U-Net prediction from input that includes wind fields outperforms those with thermodynamic variables only, highlighting the importance of accurately simulating dynamical variability in GSRMs. These findings can contribute to the advancement of improved subgrid machine-learning based parameterizations for next-generation atmospheric models.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"26 7","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1309","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144551044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation and Projection of Precipitation and Precipitation Extremes in the Source Region of the Yangtze and Yellow Rivers Based on CMIP6 Model Optimization and Statistical Downscaling","authors":"Rouke Li, Jia Wu, Ying Xu","doi":"10.1002/asl.1305","DOIUrl":"10.1002/asl.1305","url":null,"abstract":"<p>This study evaluated the performance of a high-resolution statistical downscaling (HSD) approach integrating optimal global climate models (GCMs) and quantile delta mapping (QDM) for the source region of the Yangtze and Yellow rivers, and then projected regional precipitation extremes. The GCMs captured the general precipitation pattern, but the results indicated systematic overestimations, particularly in eastern parts of the region, with deviations reaching 304.8% for winter. The HSD approach improved the spatial correlation coefficients (SCCs) and reduced the biases for mean precipitation and precipitation extremes, outperforming the GCMs with SCCs for annual precipitation of up to 0.87 and reduction in bias by 35%–60% in the simulation of extreme indices. Future projections revealed substantial reduction in consecutive dry days and pronounced increase in the annual total precipitation on wet days, annual count of wet days (precipitation ≥ 1 mm), and annual count of days with heavy precipitation (precipitation ≥ 10 mm) over the source region under different emission scenarios. Specifically, the latter demonstrated accelerated growth with enhanced greenhouse gas concentration, increasing by 14.5%, 39.9%, and 57.3% under shared socioeconomic pathway (SSP)126, SSP245, and SSP585, respectively, by the late 21st century. The findings of this study highlight the need for enhanced flood risk management strategies over the source region of the Yangtze and Yellow rivers to address the prospect of increased precipitation, and emphasize the critical role of coupling GCM optimization and QDM downscaling in generating reliable, high-resolution climate projections over regions of complex terrain.</p>","PeriodicalId":50734,"journal":{"name":"Atmospheric Science Letters","volume":"26 6","pages":""},"PeriodicalIF":2.0,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asl.1305","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}