Geoscience Data Journal最新文献_第4页

ALERA-V Version 1.0: An Objective Analysis Dataset of the Venus Atmosphere ALERA-V版本1.0：金星大气的客观分析数据集

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-05-12 DOI: 10.1002/gdj3.70080

Yukiko Fujisawa, Shin-ya Murakami, Norihiko Sugimoto, Nobumasa Komori, Masahiro Takagi, Takeshi Imamura, Takeshi Horinouchi, George L. Hashimoto, Masaki Ishiwatari, Takeshi Enomoto, Takemasa Miyoshi, Hiroki Kashimura, Toshiki Matsushima, Yoshi-Yuki Hayashi

{"title":"ALERA-V Version 1.0: An Objective Analysis Dataset of the Venus Atmosphere","authors":"Yukiko Fujisawa, Shin-ya Murakami, Norihiko Sugimoto, Nobumasa Komori, Masahiro Takagi, Takeshi Imamura, Takeshi Horinouchi, George L. Hashimoto, Masaki Ishiwatari, Takeshi Enomoto, Takemasa Miyoshi, Hiroki Kashimura, Toshiki Matsushima, Yoshi-Yuki Hayashi","doi":"10.1002/gdj3.70080","DOIUrl":"https://doi.org/10.1002/gdj3.70080","url":null,"abstract":"An objective analysis dataset of the Venus atmosphere, ALERA-V version 1.0, has been released. This objective analysis provides the best estimate of the state of the Venus atmosphere produced by combining observations and a forecast model weighted according to their respective levels of uncertainty. The accumulation of frequent observations by the Venus Climate Orbiter ‘Akatsuki’ has, for the first time, enabled an objective analysis of the Venus atmosphere. ALERA-V stands for AFES-LETKF experimental ensemble objective (re)analysis of the Venus atmosphere, and is generated by ALEDAS-V, the AFES-LETKF data assimilation system for the Venus atmosphere. ALEDAS-V uses AFES-Venus (Atmospheric General Circulation Model for the Earth Simulator for Venus) as a forecast model and the LETKF (Local Ensemble Transform Kalman Filter) for data assimilation. The observations of the zonal and meridional winds obtained by a cloud tracking technique from images taken by Akatsuki's UVI (Ultraviolet Imager) are assimilated to produce ALERA-V version 1.0. The dataset consists of atmospheric variables defined on a grid of 128 longitude and 64 latitude points, and 60 vertical levels, with output every 6 Earth hours from September to December 2018, including the intensive observation period of November. ALERA-V is expected to be useful for both scientific and engineering research, such as understanding the dynamical mechanisms of various atmospheric phenomena and planning for future satellite missions, with appropriate consideration of its quality and limitations.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70080","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148048162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-05-06

引用次数: 0

Accessible Climate and Impact Model Output for Studying the Human and Environmental Impacts of Nuclear Conflict 研究核冲突对人类和环境影响的可获得的气候和影响模型输出

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-05-06 DOI: 10.1002/gdj3.70076

Cheryl Harrison, William Faulkner, Joshua Coupe, E. Kesse Asante, Charles Bardeen, Victoria Garza, Ryan Heneghan, Jonas Jägermeyr, Nicole S. Lovenduski, Alan Robock, Karen Rojas, Kim Scherrer, O. Brian Toon, Lili Xia

{"title":"Accessible Climate and Impact Model Output for Studying the Human and Environmental Impacts of Nuclear Conflict","authors":"Cheryl Harrison, William Faulkner, Joshua Coupe, E. Kesse Asante, Charles Bardeen, Victoria Garza, Ryan Heneghan, Jonas Jägermeyr, Nicole S. Lovenduski, Alan Robock, Karen Rojas, Kim Scherrer, O. Brian Toon, Lili Xia","doi":"10.1002/gdj3.70076","DOIUrl":"https://doi.org/10.1002/gdj3.70076","url":null,"abstract":"Nuclear winter refers to the suite of physical and biological consequences that may follow nuclear conflict, particularly the cooling and darkening of Earth's surface due to black carbon soot in the upper atmosphere. While the associated changes in temperature, precipitation, and food system productivity have been the subject of climate modelling for decades, the outputs of models used to project these effects are stored in large files with formats unfamiliar to the broader research community. This paper introduces a standardized, user-friendly repository of simulated nuclear conflict climate impact data designed to lower barriers for non-specialist researchers. The data product provides simplified, spreadsheet-ready datasets derived from established Earth System Model simulations and includes variables relevant to human and environmental impacts: temperature, precipitation, ultraviolet radiation, crop yields, fish catch, and sea ice thickness for a range of nuclear conflict scenarios. This repository aims to facilitate interdisciplinary research into the long-term consequences of nuclear detonations to support policy development.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 3","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70076","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148046874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-05-02

引用次数: 0

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-04-27

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NSF NCAR's In Situ Sensing Facility Measurement System During the Sundowner Wind EXperiment (SWEX) NSF NCAR的日落风实验（SWEX）现场传感设施测量系统

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-04-27 DOI: 10.1002/gdj3.70074

Jacquelyn C. Witte, William Brown, Leila Carvalho, Terry Hock, Steven Oncley, Matthew Paulus, Christopher Roden, John Sobtzak, Isabel Suhr, Holger Vömel

引用次数: 0

The Irish Hydrometric Reference Network, Version 2.0 爱尔兰水文参考网络，2.0版

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-04-26 DOI: 10.1002/gdj3.70075

Paul O'Connor, Conor Murphy, Niamh Cahill

引用次数: 0

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-04-26

引用次数: 0

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-04-20

引用次数: 0

Temperature Series for 19 Caves Across the Western Italian Alps 横跨意大利阿尔卑斯山西部的19个洞穴温度系列

IF 2.4 3区地球科学

Geoscience Data Journal Pub Date : 2026-04-20 DOI: 10.1002/gdj3.70073

L. Cresi, A. Cimenti, O. Pisani, F. Acquaotta, A. Senese, G. Coppa, E. Piano, A. Piquet, M. Tolve, G. Nicolosi, S. Mammola, M. Isaia

{"title":"Temperature Series for 19 Caves Across the Western Italian Alps","authors":"L. Cresi, A. Cimenti, O. Pisani, F. Acquaotta, A. Senese, G. Coppa, E. Piano, A. Piquet, M. Tolve, G. Nicolosi, S. Mammola, M. Isaia","doi":"10.1002/gdj3.70073","DOIUrl":"10.1002/gdj3.70073","url":null,"abstract":"Caves represent challenging systems for monitoring temperature dynamics. While caves are often portrayed as textbook examples of systems with high thermal inertia and minimal annual temperature variability (typically less than 1°C in their deepest sections), the reality is more complex. Site-specific climatic anomalies, particularly in shallow caves, introduce significant variation. To better understand these localized conditions, long-term temperature records from multiple caves with diverse characteristics within a single region are needed. This paper presents a dataset comprising air temperature records from 19 (mostly shallow) caves in the Piedmont region (Western Italian Alps), collected in 2012 and from 2019 to 2025. Temperature sensors were deployed at two distinct locations in each cave—one at the entrance and one in internal sectors—capturing thermal signals and buffering effects. This yielded a dataset suitable for both climatological modelling and ecological applications. Calculation of data uncertainty was performed through post-calibration corrections. The complete dataset is available in figshare (https://doi.org/10.6084/m9.figshare.29108090.v1). This resource is intended to support empirical testing of thermal models, improve the accuracy of climate studies in subterranean ecosystems, and facilitate comparative analyses across cave types. The development of a high-quality dataset with strong ecological relevance provides a basis for interdisciplinary research at the intersection of climate science, speleology, and subterranean biology. The dataset is particularly suited for investigating ecological thresholds in thermally constrained cave fauna, being interoperable with faunal datasets available from the same area, as well as for evaluating cave microclimates as early indicators of surface climate anomalies.","PeriodicalId":54351,"journal":{"name":"Geoscience Data Journal","volume":"13 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/gdj3.70073","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148039845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0