Surveys in Geophysics最新文献_第2页

Correction To: Lessons Learned from the Updated GEWEX Cloud Assessment Database 更正：从更新的GEWEX云评估数据库中吸取的教训

IF 4.6 2区地球科学

Surveys in Geophysics Pub Date : 2026-08-12 DOI: 10.1007/s10712-026-09955-6

Claudia J. Stubenrauch, Stefan Kinne, Giulio Mandorli, William B. Rossow, David M. Winker, Steven A. Ackerman, Helene Chepfer, Larry Di Girolamo, Anne Garnier, Andrew Heidinger, Karl-Göran Karlsson, Kerry Meyer, Patrick Minnis, Steven Platnick, Martin Stengel, Szedung Sun-Mack, Paolo Veglio, Andi Walther, Xia Cai, Alisa H. Young, Guangyu Zhao

引用次数: 0

Light-Weighted Foundation Model for Seismic Data Processing Based on Representative and Non-redundant Pre-training Dataset 基于代表性非冗余预训练数据集的地震数据处理轻量级基础模型

IF 4.6 2区地球科学

Surveys in Geophysics Pub Date : 2026-08-11 DOI: 10.1007/s10712-026-09957-4

Xintong Dong, Wenshuo Yu, Jun Lin, Zhenbo Guo, Hongzhou Wang, Jianhao Yang

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Towards End-to-End Seismic Resolution Enhancement with High Fidelity: Deep Learning Solution Combined with Joint Borehole-Surface Exploration 实现高保真的端到端地震分辨率提高：结合井-地联合勘探的深度学习解决方案

IF 4.6 2区地球科学

Surveys in Geophysics Pub Date : 2026-07-17 DOI: 10.1007/s10712-026-09954-7

Fuyao Sun, Yue Li, Ning Wu, Haiyang Xu

引用次数: 0

Instrumentation, Databases, and Data Utilisation in Solar–Terrestrial Physics: An Overview of the Current Status and Recommendations for the Future 日地物理中的仪器、数据库和数据利用：现状概述和未来建议

IF 4.6 2区地球科学

Surveys in Geophysics Pub Date : 2026-05-28 DOI: 10.1007/s10712-026-09953-8

Lisa Baddeley, Maxime Grandin, Rayan Imam, Jia Jia, Karl Laundal, Lucia Kleint, Vanessa Mercea, Veronika Haberle, Eelco Doornbos, Theodoros Sarris, Florine Enengl

{"title":"Instrumentation, Databases, and Data Utilisation in Solar–Terrestrial Physics: An Overview of the Current Status and Recommendations for the Future","authors":"Lisa Baddeley, Maxime Grandin, Rayan Imam, Jia Jia, Karl Laundal, Lucia Kleint, Vanessa Mercea, Veronika Haberle, Eelco Doornbos, Theodoros Sarris, Florine Enengl","doi":"10.1007/s10712-026-09953-8","DOIUrl":"https://doi.org/10.1007/s10712-026-09953-8","url":null,"abstract":"Solar–terrestrial physics, the science of interactions between the Sun and the Earth’s environment, is increasingly envisioned as a complex system consisting of regions of very different nature but strongly coupled to each other via multiple physical processes. Over time, a tremendous amount of observational data have been collected on the various solar–terrestrial physics subsystems: the Sun, the solar wind, Earth’s magnetosphere, ionosphere, and neutral atmosphere. Despite the quantity of data, measurements of the near-Earth and solar environments remain sparse with respect to the size of the solar–terrestrial system, implying that multiple datasets often need to be combined to gain insights into the physics at play. Besides, increasingly sophisticated numerical models have been built to elucidate the physics of those subsystems, and ongoing efforts aim at improving the interfacing of such models to get a system-level understanding. The solar–terrestrial physics community is facing the challenge of bringing together its various subcommunities whose combined data and expertise are needed to advance the science. While databases for observations and models exist, they are often catering for only part of the community and may not always follow the same standards and practice in terms of data access. Moreover, database and instrument maintenance requires continuity in funding and human power, posing an additional challenge. In this paper, we review some of the existing initiatives tackling the data challenge as well as emerging new data processing methods. We also discuss some of the current issues related to the production and management of observational data and propose ideas—such as mutualising resources in the form of ‘supersites’ and ensuring continuity in the measurements to overcome those challenges.","PeriodicalId":49458,"journal":{"name":"Surveys in Geophysics","volume":"30 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148289542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dynamically Weighted Joint Full Waveform Inversion of Active and Ambient Noise Passive Body-Wave Seismic Data 主动与环境噪声被动体波地震资料动态加权联合全波形反演

IF 4.6 2区地球科学

Surveys in Geophysics Pub Date : 2026-04-22 DOI: 10.1007/s10712-026-09951-w

Xujia Shang, Liguo Han, Pan Zhang, Donghao Zhang, Wensha Huang

引用次数: 0

Design Considerations for a Future Geospace System Observatory 未来地球空间系统天文台的设计考虑

IF 4.6 2区地球科学

Surveys in Geophysics Pub Date : 2026-03-31 DOI: 10.1007/s10712-026-09947-6

Martin G. Mlynczak, Rolando R. Garcia, Jia Yue, Shaylah M. Mutschler, W. Kent Tobiska, Susan Nossal

{"title":"Design Considerations for a Future Geospace System Observatory","authors":"Martin G. Mlynczak, Rolando R. Garcia, Jia Yue, Shaylah M. Mutschler, W. Kent Tobiska, Susan Nossal","doi":"10.1007/s10712-026-09947-6","DOIUrl":"https://doi.org/10.1007/s10712-026-09947-6","url":null,"abstract":"The atmosphere within Earth’s Geospace System, herein taken to be the region from the upper mesosphere (65 km) to the exobase (~ 600 km), is cooling and contracting due to increasing carbon dioxide in its lower regions. These changes will affect many aspects of future orbiting satellite operations in Geospace. Recent assessments place the value of the orbiting-satellite-driven “space economy” at US $1.8 × 10 12 within a decade. To assess Geospace change in a quantitative way that can facilitate a sustainable space economy, a Geospace System Observatory (GSO) is essential. The GSO would generate Geospace Data Records (GDRs) from which the rate and long-term extent of Geospace change can be determined with sufficient statistical significance to expedite confident international decisions and agreements regarding satellite and other operations in Geospace. In this paper, we present specific attributes of measurements intended to serve as GDRs. Foremost among these is high absolute accuracy that is driven by the need to limit trend error to a fraction of the anticipated trend magnitude over multiple instruments spanning decades. High accuracy also provides the statistical significance to enable confident decisions and shortens the time required to confidently detect trends. Other GDR aspects (record length; overlap/continuity; SI traceability) are also discussed. Examples of a variety of trend errors from current and past satellite sensors are given as a guide to GSO design requirements. A method for developing Level 1 design requirements for the GSO, used for developing systematic satellite observations for the troposphere, concludes the paper.","PeriodicalId":49458,"journal":{"name":"Surveys in Geophysics","volume":"12 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147586616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Why is Energetic Particle Precipitation Important for Climate Research and Seasonal Forecasting? 为什么高能粒子降水对气候研究和季节预报很重要？

IF 4.6 2区地球科学

Surveys in Geophysics Pub Date : 2026-03-30 DOI: 10.1007/s10712-026-09946-7

Hilde Nesse, Timo Asikainen, Margot Decotte, Bernd Funke, V. Lynn Harvey, Jia Jia, Hanli Liu, Huixin Liu, Ville Maliniemi, Noora Partamies, Josephine A. Salice, Antti Salminen, Annika Seppälä, Claudia C. Stephan, Mikhail Vokhmyanin

引用次数: 0

Comparison of Probabilistic Approaches to Acoustic Full-Waveform Inversion in Compressed Model and Data Spaces 压缩模型与数据空间声学全波形反演的概率方法比较

IF 4.6 2区地球科学

Surveys in Geophysics Pub Date : 2026-03-26 DOI: 10.1007/s10712-026-09949-4

Sean Berti, Fabio Macelloni, Mattia Aleardi, Eusebio Stucchi

引用次数: 0

Effect of the Generation of Bouguer Anomalies on the Geoid Determination: A Case Study in a High-Mountainous Area 布格异常生成对大地水准面确定的影响——以某高山区为例

IF 7.1 2区地球科学

Surveys in Geophysics Pub Date : 2026-03-12 DOI: 10.1007/s10712-026-09948-5

Ramazan Alpay Abbak, Kurt Seitz

{"title":"Effect of the Generation of Bouguer Anomalies on the Geoid Determination: A Case Study in a High-Mountainous Area","authors":"Ramazan Alpay Abbak, Kurt Seitz","doi":"10.1007/s10712-026-09948-5","DOIUrl":"10.1007/s10712-026-09948-5","url":null,"abstract":"<div><p>Different types of gravity anomalies are engaged in geophysical and geodetic tasks. Whether they are used for regional or global applications, they require efficient calculations. All variants are based on the so-called free-air gravity anomalies. Mean free-air gravity anomalies on an equidistant grid are needed for gravity field modeling. Three possible ways of compiling mean free-air gravity anomalies are discussed in detail. One method is via simple Bouguer gravity anomalies, the second, more time-consuming method is via complete Bouguer gravity anomalies, and the third method is via topographic-isostatic reductions, which is a tedious task. In flat areas, the differences between using any of the three methods should not be significant. However, in mountainous regions, each dependency can negatively affect the interpolation process of gravity anomalies. The reduced gravity anomalies should be as smooth as possible in order to minimize the interpolation error which is inherent in the interpolation of the information in the arbitrarily distributed gravity observation points to obtain block average signals. This study investigates the effects of Bouguer and topographic-isostatic reductions on the accuracy of the mean gravity anomalies and the resulting gravimetric geoid model. The numerical results indicate that complete Bouguer approximations improve the accuracy of the geoid model by a few millimeters. Therefore, this method should be used to predict mean gravity anomalies, especially in mountainous regions, in few of the 1 cm geoid determination.</p></div>","PeriodicalId":49458,"journal":{"name":"Surveys in Geophysics","volume":"47 2","pages":"449 - 471"},"PeriodicalIF":7.1,"publicationDate":"2026-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10712-026-09948-5.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147462137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

What is the Uncertainty of the Uncertainty and (Why) Does it Matter? Improving the Uncertainty Estimates of Merged Multi-satellite Soil Moisture Data Sets 什么是不确定性的不确定性和（为什么）它很重要？改进合并多卫星土壤湿度数据集的不确定性估算

IF 4.6 2区地球科学

Surveys in Geophysics Pub Date : 2026-03-11 DOI: 10.1007/s10712-026-09944-9

Maud Formanek, Alexander Gruber, Pietro Stradiotti, Wouter Dorigo

{"title":"What is the Uncertainty of the Uncertainty and (Why) Does it Matter? Improving the Uncertainty Estimates of Merged Multi-satellite Soil Moisture Data Sets","authors":"Maud Formanek, Alexander Gruber, Pietro Stradiotti, Wouter Dorigo","doi":"10.1007/s10712-026-09944-9","DOIUrl":"https://doi.org/10.1007/s10712-026-09944-9","url":null,"abstract":"This study aims to improve the uncertainty estimates of soil moisture datasets produced by merging various satellite products via inverse-variance weighting. In this scheme, the weight of each sensor depends on its specific uncertainty derived from Triple Collocation Analysis (TCA). However, the TCA-derived uncertainties are themselves uncertain due to finite sample sizes, introducing a second-order uncertainty we denote the ‘uncertainty of the uncertainty’. Here, we estimate it empirically by bootstrapping and find that it follows a power-law relationship as a function of the number of collocated observations, whose exponent is comparable to the analytical solution for simple error models. Furthermore, we propose an extended scheme that includes the resulting uncertainty of the weights in the uncertainty estimate of the merged dataset. The proposed scheme is tested on soil moisture retrievals from three different satellite sensors, the active Advanced Scatterometer (ASCAT), the passive Soil Moisture Active Passive (SMAP), and the passive Soil Moisture And Ocean Salinity (SMOS) sensors. Comparing the improved uncertainty estimates to skill metrics calculated against the global reanalysis product ERA5-Land confirms that they indeed better describe (spatial) uncertainty variations of the merged soil moisture product against the reference dataset. The findings of this study underscore the necessity of advancing uncertainty quantification methods in satellite-retrieved climate data sets.","PeriodicalId":49458,"journal":{"name":"Surveys in Geophysics","volume":"91 1","pages":""},"PeriodicalIF":4.6,"publicationDate":"2026-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147462138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0