地球物理学调查发表了关于地球内部、地表、大气和近地空间环境中发生的物理、化学和生物过程的评论文章，包括与太阳系中其他天体的关系。涉及任何地球和空间科学的论文都涵盖了观测、其解释、理论和建模。

The journal "Surveys in Geophysics" publishes review articles on the physical, chemical, and biological processes occurring in the Earth's interior, on its surface, in the atmosphere, and in the near-Earth space environment. These articles also discuss the relationships with other celestial bodies in the solar system. Papers covering any aspect of Earth and space sciences include observations, interpretations, theories, and modeling.

《Surveys in Geophysics》期刊发表关于地球内部、地表、大气和近地空间环境中发生的物理、化学和生物过程的评论文章。这些文章还包括与太阳系中其他天体的关系。涉及任何地球和空间科学的论文都涵盖了观测、解释、理论和建模等方面。

Surveys in Geophysics

Yihao Wu

Jiangtao Han

Guoqing Ma

Yunhe Liu

Fuxing Han

Lijia Liu

Lei Guo

Ye Guan

Yinghui Zhang

Surv Geophys

The Magma Emplacement of a Composite Volcanic-Intrusive System and Its Mineralization

复合火山-侵入系统的岩浆贯入及其矿化作用

An unprecedented spectroscopic data stream will soon become available with forthcoming Earth-observing satellite missions equipped with imaging spectroradiometers. This data stream will open up a vast array of opportunities to quantify a diversity of biochemical and structural vegetation properties. The processing requirements for such large data streams require reliable retrieval techniques enabling the spatiotemporally explicit quantification of biophysical variables. With the aim of preparing for this new era of Earth observation, this review summarizes the state-of-the-art retrieval methods that have been applied in experimental imaging spectroscopy studies inferring all kinds of vegetation biophysical variables. Identified retrieval methods are categorized into: (1) parametric regression, including vegetation indices, shape indices and spectral transformations; (2) nonparametric regression, including linear and nonlinear machine learning regression algorithms; (3) physically based, including inversion of radiative transfer models (RTMs) using numerical optimization and look-up table approaches; and (4) hybrid regression methods, which combine RTM simulations with machine learning regression methods. For each of these categories, an overview of widely applied methods with application to mapping vegetation properties is given. In view of processing imaging spectroscopy data, a critical aspect involves the challenge of dealing with spectral multicollinearity. The ability to provide robust estimates, retrieval uncertainties and acceptable retrieval processing speed are other important aspects in view of operational processing. Recommendations towards new-generation spectroscopy-based processing chains for operational production of biophysical variables are given.

Jochem Verrelst

Zbyněk Malenovský

Christiaan Van der Tol

Gustau Camps-Valls

Jean-Philippe Gastellu-Etchegorry

Philip Lewis

Peter North

Jose Moreno

Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods

从成像光谱数据中量化植被生物物理变量：检索方法综述

Gerd W. Prölss

Density Perturbations in the Upper Atmosphere Caused by the Dissipation of Solar Wind Energy

太阳风能量耗散引起的上层大气密度扰动

Abstract Earthquakes pose a significant hazard, and due to the growth of vulnerable, exposed populations, global levels of seismic risk are increasing. In the past three decades, a dramatic improvement in the volume, quality and consistency of satellite observations of solid earth processes has occurred. I review the current Earth Observing (EO) systems commonly used for measuring earthquake and crustal deformation that can help constrain the potential sources of seismic hazard. I examine the various current contributions and future potential for EO data to feed into aspects of the earthquake disaster management cycle. I discuss the implications that systematic assimilation of Earth Observation data has for the future assessment of seismic hazard and secondary hazards, and the contributions it will make to earthquake disaster risk reduction. I focus on the recent applications of Global Navigation Satellite System (GNSS) and increasingly the use of Interferometric Synthetic Aperture Radar (InSAR) for the derivation of crustal deformation and these data’s contribution to estimates of hazard. I finish by examining the outlook for EO in geohazards in both science and decision-making, as well as offering some recommendations for an enhanced acquisition strategy for SAR data.

J. R. Elliott

Earth Observation for the Assessment of Earthquake Hazard, Risk and Disaster Management

地震灾害、风险与灾害管理的地球观测评估

Hydrological extremes, in particular floods and droughts, impact all regions across planet Earth. They are mainly controlled by the temporal evolution of key hydrological variables like precipitation, evaporation, soil moisture, groundwater storage, surface water storage and discharge. Precise knowledge of the spatial and temporal evolution of these variables at the scale of river basins is essential to better understand and forecast floods and droughts. In this article, we present recent advances on the capability of Earth observation (EO) satellites to provide global monitoring of floods and droughts. The local scale monitoring of these events which is traditionally done using high-resolution optical or SAR (synthetic aperture radar) EO and in situ data will not be addressed. We discuss the applications of moderate- to low-spatial-resolution space-based observations, e.g., satellite gravimetry (GRACE and GRACE-FO), passive microwaves (i.e. SMOS) and satellite altimetry (i.e. the JASON series and the Copernicus Sentinel missions), with supporting examples. We examine the benefits and drawbacks of integrating these EO datasets to better monitor and understand the processes at work and eventually to help in early warning and management of flood and drought events. Their main advantage is their large monitoring scale that provides a "big picture" or synoptic view of the event that cannot be achieved with often sparse in situ measurements. Finally, we present upcoming and future EO missions related to this topic including the SWOT mission.

T. Lopez

A. Al Bitar

S. Biancamaria

A. Güntner

A. Jäggi

On the Use of Satellite Remote Sensing to Detect Floods and Droughts at Large Scales

关于利用卫星遥感在大尺度上探测洪水和干旱的研究

Jixiao Ma

Yangfan Deng

Xin Li

Rui Guo

Hongyu Zhou

Maokun Li

Recent Advances in Machine Learning-Enhanced Joint Inversion of Seismic and Electromagnetic Data

机器学习增强的地震与电磁数据联合反演研究进展

Abstract This review article provides a synthesis and perspective on how weather and climate extreme events can play a role in influencing tipping elements and triggering tipping points in the Earth System. An example of a potential critical global tipping point, induced by climate extremes in an increasingly warmer climate, is Amazon rainforest dieback that could be driven by regional increases in droughts and exacerbated by fires, in addition to deforestation. A tipping element associated with the boreal forest might also be vulnerable to heat, drought and fire. An oceanic example is the potential collapse of the Atlantic meridional overturning circulation due to extreme variability in freshwater inputs, while marine heatwaves and high acidity extremes can lead to coral reef collapse. Extreme heat events may furthermore play an important role in ice sheet, glacier and permafrost stability. Regional severe extreme events could also lead to tipping in ecosystems, as well as in human systems, in response to climate drivers. However, substantial scientific uncertainty remains on mechanistic links between extreme events and tipping points. Earth observations are of high relevance to evaluate and constrain those links between extreme events and tipping elements, by determining conditions leading to delayed recovery with a potential for tipping in the atmosphere, on land, in vegetation, and in the ocean. In the subsurface ocean, there is a lack of consistent, synoptic and high frequency observations of changes in both ocean physics and biogeochemistry. This review article shows the importance of considering the interface between extreme events and tipping points, two topics usually addressed in isolation, and the need for continued monitoring to observe early warning signs and to evaluate Earth system response to extreme events as well as improving model skill in simulating extremes, compound extremes and tipping elements.

A. Romanou

G. C. Hegerl

S. I. Seneviratne

B. Abis

A. Bastos

A. Conversi

A. Landolfi

H. Kim

P. E. Lerner

J. Mekus

B. L. Otto-Bliesner

F. S. R. Pausata

I. Pinto

L. Suarez-Guiterrez

Extreme Events Contributing to Tipping Elements and Tipping Points

极端事件对临界要素和临界点的贡献

Abstract As climate change continues, the likelihood of passing critical thresholds or tipping points increases. Hence, there is a need to advance the science for detecting such thresholds. In this paper, we assess the needs and opportunities for Earth Observation (EO, here understood to refer to satellite observations) to inform society in responding to the risks associated with ten potential large-scale ocean tipping elements: Atlantic Meridional Overturning Circulation; Atlantic Subpolar Gyre; Beaufort Gyre; Arctic halocline; Kuroshio Large Meander; deoxygenation; phytoplankton; zooplankton; higher level ecosystems (including fisheries); and marine biodiversity. We review current scientific understanding and identify specific EO and related modelling needs for each of these tipping elements. We draw out some generic points that apply across several of the elements. These common points include the importance of maintaining long-term, consistent time series; the need to combine EO data consistently with in situ data types (including subsurface), for example through data assimilation; and the need to reduce or work with current mismatches in resolution (in both directions) between climate models and EO datasets. Our analysis shows that developing EO, modelling and prediction systems together, with understanding of the strengths and limitations of each, provides many promising paths towards monitoring and early warning systems for tipping, and towards the development of the next generation of climate models.

Richard A. Wood

Jonathan A. Baker

Grégory Beaugrand

Jacqueline Boutin

Alessandra Conversi

Reik V. Donner

Ivy Frenger

Eric Goberville

Hakase Hayashida

Wolfgang Koeve

Karin Kvale

Angela Landolfi

Wieslaw Maslowski

Andreas Oschlies

Anastasia Romanou

Christopher J. Somes

Thomas F. Stocker

Didier Swingedouw

Opportunities for Earth Observation to Inform Risk Management for Ocean Tipping Points

地球观测在海洋临界点风险管理中的机遇

Juliet Pilewskie

Graeme Stephens

Hanii Takahashi

Tristan L’Ecuyer

A Multi-satellite Perspective on “Hot Tower” Characteristics in the Equatorial Trough Zone

赤道槽区“热塔”特征的多卫星视角研究

Abstract As observed by the Gravity Recovery and Climate Experiment (GRACE) and GRACE Follow On (GRACE-FO) missions, global terrestrial water storage (TWS), excluding ice sheets and glaciers, declined rapidly between May 2014 and March 2016. By 2023, it had not yet recovered, with the upper end of its range remaining 1 cm equivalent height of water below the upper end of the earlier range. Beginning with a record-setting drought in northeastern South America, a series of droughts on five continents helped to prevent global TWS from rebounding. While back-to-back El Niño events are largely responsible for the South American drought and others in the 2014–2016 timeframe, the possibility exists that global warming has contributed to a net drying of the land since then, through enhanced evapotranspiration and increasing frequency and intensity of drought. Corollary to the decline in global TWS since 2015 has been a rise in barystatic sea level (i.e., global mean ocean mass). However, we find no evidence that it is anything other than a coincidence that, also in 2015, two estimates of barystatic sea level change, one from GRACE/FO and the other from a combination of satellite altimetry and Argo float ocean temperature measurements, began to diverge. Herein, we discuss both the mechanisms that account for the abrupt decline in terrestrial water storage and the possible explanations for the divergence of the barystatic sea level change estimates.

Matthew Rodell

Anne Barnoud

Franklin R. Robertson

Richard P. Allan

Ashley Bellas-Manley

Michael G. Bosilovich

Don Chambers

Felix Landerer

Bryant Loomis

R. Steven Nerem

Mary Michael O’Neill

David Wiese

Sonia I. Seneviratne

An Abrupt Decline in Global Terrestrial Water Storage and Its Relationship with Sea Level Change

全球陆地水储量骤减及其与海平面变化的关系

Abbreviation	Surv Geophys
Journal Impact	5.03
Quartiles(Global)	GEOCHEMISTRY & GEOPHYSICS(Q1)

ISSN	0169-3298, 1573-0956
h-index	97

Publication Information	Publisher: Springer Netherlands，Publishing cycle: Bimonthly，Journal Type: journal，Open Access Journals: No
Basic data	Year of publication: 1989，Proportion of original research papers: 58.73%，Self Citation Rate:8.20%， Gold OA Rate: 37.87%
Average review cycle	网友分享经验：平均3.0个月
Average recruitment ratio	网友分享经验：一般

Surveys in Geophysics

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