{"title":"Physical models and Monte Carlo estimates for spatial and angular derivatives of the specific intensity","authors":"Paule Lapeyre,Zili He,Stéphane Blanco,Cyril Caliot,Christophe Coustet,Jérémi Dauchet,Mouna El Hafi,Simon Eibner,Eugene d’Eon,Olivier Farges,Richard Fournier,Jacques Gautrais,Nada Mourtaday,Maxime Roger,Najda Villefranque","doi":"10.1016/j.jqsrt.2026.110160","DOIUrl":"https://doi.org/10.1016/j.jqsrt.2026.110160","url":null,"abstract":"","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"33 1","pages":"110160"},"PeriodicalIF":2.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149208855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The influence of microsphere scattering modes on the formation of photonic nanojet","authors":"Song Zhou,Feng Xu","doi":"10.1016/j.jqsrt.2026.110172","DOIUrl":"https://doi.org/10.1016/j.jqsrt.2026.110172","url":null,"abstract":"","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"37 1","pages":"110172"},"PeriodicalIF":2.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149208857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
G. La Mura,G. Mulas,M.A. Iatì,C. Cecchi-Pestellini,G. Aresu,S. Rezaei,R. Saija
{"title":"Extinction by non-spherical particles with the Nanoparticle Transition Matrix Code: Perspectives for interstellar medium and exoplanetary atmospheres","authors":"G. La Mura,G. Mulas,M.A. Iatì,C. Cecchi-Pestellini,G. Aresu,S. Rezaei,R. Saija","doi":"10.1016/j.jqsrt.2026.110167","DOIUrl":"https://doi.org/10.1016/j.jqsrt.2026.110167","url":null,"abstract":"","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"11 1","pages":"110167"},"PeriodicalIF":2.3,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149208856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An improved study of cyanoacetylene and diacetylene including the strong 2ν5 band of HC3N and ν4 band of HC4H","authors":"Luca Bizzocchi , Mattia Melosso , Filippo Tamassia , Martina Taddia , Francesca Tonolo , Silvia Alessandrini , Gabriele Panizzi , Michela Nonne , Marie-Aline Martin-Drumel , Olivier Pirali , Luca Dore , Iouli E. Gordon , Cristina Puzzarini","doi":"10.1016/j.jqsrt.2026.109879","DOIUrl":"10.1016/j.jqsrt.2026.109879","url":null,"abstract":"<div><div>This paper presents an extension of the previous spectroscopic investigations for the linear molecules HC<sub>3</sub>N and HC<sub>4</sub>H. For both species, new high-resolution data have been recorded and analyzed. As far as HC<sub>3</sub>N is concerned, the investigation of the ro-vibrational features has been based on the Fourier transform far-infrared spectra from our previous studies and on the mid-infrared spectra targeting the prominent <span><math><mrow><mn>2</mn><msub><mrow><mi>ν</mi></mrow><mrow><mn>5</mn></mrow></msub></mrow></math></span> overtone band recently recorded at the synchrotron facility SOLEIL with a resolution of 0.003 and 0.002<!--> <!-->cm<sup>−1</sup>. Moreover, several hundreds of pure rotational transitions belonging to excited vibrational states were recorded in Bologna. The resonance network wrapping around the <span><math><mrow><msub><mrow><mi>v</mi></mrow><mrow><mn>5</mn></mrow></msub><mo>=</mo><mn>2</mn></mrow></math></span> level and involving the (<span><math><mrow><msub><mrow><mi>v</mi></mrow><mrow><mn>4</mn></mrow></msub><mo>=</mo><mn>1</mn><mo>,</mo><msub><mrow><mi>v</mi></mrow><mrow><mn>7</mn></mrow></msub><mo>=</mo><mn>2</mn></mrow></math></span>), (<span><math><mrow><msub><mrow><mi>v</mi></mrow><mrow><mn>6</mn></mrow></msub><mo>=</mo><mn>2</mn><mo>,</mo><msub><mrow><mi>v</mi></mrow><mrow><mn>7</mn></mrow></msub><mo>=</mo><mn>2</mn></mrow></math></span>), (<span><math><mrow><msub><mrow><mi>v</mi></mrow><mrow><mn>5</mn></mrow></msub><mo>=</mo><mn>1</mn><mo>,</mo><msub><mrow><mi>v</mi></mrow><mrow><mn>7</mn></mrow></msub><mo>=</mo><mn>3</mn></mrow></math></span>), and <span><math><mrow><msub><mrow><mi>v</mi></mrow><mrow><mn>7</mn></mrow></msub><mo>=</mo><mn>6</mn></mrow></math></span> excited states has been thoroughly analyzed. A global ro-vibrational fit was then achieved for all the vibrational levels up to 1300<!--> <!-->cm<sup>−1</sup>, therefore improving our previous analysis. For diacetylene, the <span><math><msub><mrow><mi>ν</mi></mrow><mrow><mn>4</mn></mrow></msub></math></span> stretching band around 3333<!--> <!-->cm<sup>−1</sup> was recorded by high-resolution FTIR spectroscopy at the synchrotron facility SOLEIL at a resolution of 0.005<!--> <!-->cm<sup>−1</sup>. The accidental resonance affecting this band has been successfully analyzed and the number of observed and assigned ro-vibrational transitions was considerably extended. The present investigation allowed the integration of the existing line lists in the HITRAN database for both molecules. In particular, no information about the <span><math><msub><mrow><mi>ν</mi></mrow><mrow><mn>4</mn></mrow></msub></math></span> band of diacetylene was present in HITRAN before this study.</div></div>","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"357 ","pages":"Article 109879"},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yi Wang , Jinjun Liu , Rebekah Esmaili , Mark Schoeberl
{"title":"Extending geostationary satellite AOD coverage with a lightweight spatiotemporal sequence model","authors":"Yi Wang , Jinjun Liu , Rebekah Esmaili , Mark Schoeberl","doi":"10.1016/j.jqsrt.2026.109899","DOIUrl":"10.1016/j.jqsrt.2026.109899","url":null,"abstract":"<div><div>Satellite nadir retrievals of Aerosol Optical Depth (AOD) cannot be made over clouds which can limit their use for near-real-time air-quality monitoring. We evaluate a simple time-series approach that increases AOD coverage over clouds by predicting short-term transport and filling gaps using Machine Learning (ML). We use a single-channel convolutional long short-term memory (ConvLSTM) sequence model trained on NOAA GOES-18 ABI AOD dataset. Predicted plumes reproduce observed spatial organization despite the presence of clouds, and when composited into the observed AOD field by filling missing pixels, the model provides spatially coherent AOD estimates over obscured regions. With longer lead times, predictions become smoother and high-AOD extremes are unrealistically suppressed, narrowing the dynamic range relative to observations. Motion, quantified by an AOD-weighted centroid, shows frame-to-frame step distances that are smaller than observed. The distances decline with time, indicating accumulated transport error and under-advection of filaments. In addition, scene-mean AOD and its standard deviation are lower in predictions than in observations and decrease further with longer lead time (in 20-min intervals between frames). Performance degrades with increasing lead time and during prolonged, widespread obscuration, and may be less reliable for abrupt aerosol regime shifts. We compare ML model gap filling with ordinary kriging anchored to observed edges: kriging yields the smoother fields and tends to elevate AOD over broader regions, whereas ML-based filling preserves plume organization, avoids some edge amplification, and produces fewer extremes. Overall, a ConvLSTM provides timely AOD nowcasts and substantially extends coverage for short lead times, although performance degrades with lead time.</div></div>","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"357 ","pages":"Article 109899"},"PeriodicalIF":1.9,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147388347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An Efficient Deep Learning Approach for Automated FTIR Spectral Interpretation and Simultaneous Molecular Bond Localization","authors":"Emir Oncu , Esranur Kızılhan","doi":"10.1016/j.jqsrt.2026.110013","DOIUrl":"10.1016/j.jqsrt.2026.110013","url":null,"abstract":"<div><div>The accurate identification of functional groups via Fourier Transform Infrared spectroscopy constitutes a fundamental pillar of chemical analysis, yet conventional manual interpretation is constrained by its reliance on expert proficiency and susceptibility to subjective errors. Addressing these limitations, this study proposes an image-based framework utilizing the YOLOv8n object detection architecture for automated localization and classification of eleven representative molecular-bond absorption classes in FTIR spectral plots. By reformulating spectral peak interpretation as a computer vision task, the developed model achieved a mean Average Precision ([email protected]) of 0.962 and an overall classification accuracy of 94.6% on the generated validation dataset. Quantitative evaluations further showed strong agreement with the ground-truth generated labels, with Cohen's Kappa and Matthews Correlation Coefficient values of 0.962 and 0.963, respectively. To align the output with standard spectroscopic interpretation, the study integrated a post-processing mechanism that converts bounding box predictions into vertical spectral markers. The revised study additionally reports overlap-focused dataset statistics and a preliminary qualitative application on a real FTIR spectrum of a wound dressing containing Liquidambar orientalis resin, while emphasizing that broader experimental validation is required before routine analytical deployment.</div></div>","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"362 ","pages":"Article 110013"},"PeriodicalIF":1.9,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148192891","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I.E. Gordon , L.S. Rothman , R.J. Hargreaves , F.M. Gomez , T. Bertin , C. Hill , R.V. Kochanov , Y. Tan , P. Wcisło , V. Yu. Makhnev , P.F. Bernath , M. Birk , V. Boudon , A. Campargue , A. Coustenis , B.J. Drouin , R.R. Gamache , J.T. Hodges , D. Jacquemart , E.J. Mlawer , N.F. Zobov
{"title":"The HITRAN2024 molecular spectroscopic database","authors":"I.E. Gordon , L.S. Rothman , R.J. Hargreaves , F.M. Gomez , T. Bertin , C. Hill , R.V. Kochanov , Y. Tan , P. Wcisło , V. Yu. Makhnev , P.F. Bernath , M. Birk , V. Boudon , A. Campargue , A. Coustenis , B.J. Drouin , R.R. Gamache , J.T. Hodges , D. Jacquemart , E.J. Mlawer , N.F. Zobov","doi":"10.1016/j.jqsrt.2026.109807","DOIUrl":"10.1016/j.jqsrt.2026.109807","url":null,"abstract":"<div><div>The HITRAN database is a curated compilation of validated molecular spectroscopic parameters, established in the early 1970s. It is used by various computer codes to predict and simulate the transmission and emission of light in gaseous media (with an emphasis on terrestrial and planetary atmospheres). The HITRAN compilation is composed of six major components. These components include the line-by-line spectroscopic parameters required for high-resolution radiative-transfer codes, experimentally derived absorption cross-sections (for molecules where it is not yet feasible for representation in a line-by-line form), collision-induced absorption data, aerosol indices of refraction, and general tables (including partition sums) that apply globally to the data. Responding to community requests, HITRAN2024 also incorporates — for the first time — a water-vapor continuum model.</div><div>This paper describes the details of the choices of data and their compilation for the 2024 quadrennial edition of HITRAN. The HITRAN2024 edition takes advantage of recent experimental and theoretical data that were meticulously validated, in particular, against laboratory and atmospheric spectra. The new edition replaces the previous HITRAN edition of 2020 (including various updates during the intervening years).</div><div>The extent of the updates of the line-by-line section in the HITRAN2024 edition ranges from updating a few lines of specific molecules/isotopologues to complete replacements of the lists, and also the introduction of additional isotopologues and six new (to HITRAN) molecules: H<span><math><msubsup><mrow></mrow><mrow><mn>3</mn></mrow><mrow><mo>+</mo></mrow></msubsup></math></span>, CH<span><math><msub><mrow></mrow><mrow><mn>3</mn></mrow></msub></math></span>, S<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>, COFCl, HONO, ClNO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>. Many new vibrational bands were added, extending the spectral coverage and completeness of the line lists. In addition, the accuracy of the parameters for major atmospheric absorbers has been increased substantially, often bringing the uncertainties down to unprecedented levels below 0.1%.</div><div>The HITRAN2024 edition is available through <span><span>www.hitran.org</span><svg><path></path></svg></span> as well as the HITRAN Application Programming Interface (HAPI). The functionality of the tools to work with the HITRAN data has been extended for the new edition.</div></div>","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"353 ","pages":"Article 109807"},"PeriodicalIF":1.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145995424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yao Sun , Jingxin Zhang , Lan Wu , Chonghui Cheng , Weize Li , Kai Zhang , Xueping Wan , Wentai Chen , Zhiji Deng , Ming Liu , Miao Cheng , Zhewei Fu , Dong Liu
{"title":"Development of ZJU high-spectral-resolution lidar for aerosol and cloud: Comparison between dual-FOV HSRL and polarized lidar for water cloud detection","authors":"Yao Sun , Jingxin Zhang , Lan Wu , Chonghui Cheng , Weize Li , Kai Zhang , Xueping Wan , Wentai Chen , Zhiji Deng , Ming Liu , Miao Cheng , Zhewei Fu , Dong Liu","doi":"10.1016/j.jqsrt.2026.109835","DOIUrl":"10.1016/j.jqsrt.2026.109835","url":null,"abstract":"<div><div>Observations of water cloud optical and microphysical properties are indispensable for quantifying its radiative forcing and improving predictions of climate change. In this paper, comparisons between two lidar-based techniques for water cloud detection, i.e., dual-field-of-view high-spectral-resolution lidar (dual-FOV HSRL) and the polarized Mie-scattering lidar (PML), with consideration of multiple scattering effects are presented. The retrieval results from Monte Carlo (MC) simulations with both techniques are compared, demonstrating that the extinction coefficient (<em>α<sub>c</sub></em>) and effective radius (<em>r<sub>eff</sub></em>) retrieved by dual-FOV HSRL exhibit smaller root mean square error (<em>RMSE</em>) and relative bias values than those from PML under a typical water cloud scenario. A case study of the measurements performed with Zhejiang University high-spectral-resolution lidar for aerosol and cloud (ZJU-HSRL) system at Hangzhou, China, is presented, and the results show that the dual-FOV HSRL technique is a more stable and flexible approach for profiling realistic water cloud vertical structures, especially under the influence of dry air entrainment.</div></div>","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"353 ","pages":"Article 109835"},"PeriodicalIF":1.9,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146001497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}