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Linear Array Double Difference Adjoint Ambient Noise Tomography of the Central Tanlu Fault Zone, Eastern China

JGR–Solid Earth - Thu, 07/25/2024 - 01:39
Abstract

In response to the need for high-resolution imaging of shallow crustal structure, we present a linear array double-difference (DD) adjoint tomography method, using DD Rayleigh wave traveltime measurements for enhanced spatial resolution. This method, validated through synthetic experiments, improves velocity anomaly detection with fewer iterations compared to absolute traveltime measurements. Applied to data from four linear seismic arrays in the central Tanlu fault zone (TLFZ) in the eastern China, our approach integrated both DD and absolute difference (AD) of adjoint traveltime measurements. We performed cluster analysis for data quality control, reducing data outliers and increasing reliability, particularly in suppressing cycle skipping for short-period measurements. The resulting high-resolution S-wave velocity profiles in the shallow crust well delineate geological structures, revealing a continuous low-velocity anomaly beneath the eastern branch of TLFZ. Our comparative analysis with the southern segment of TLFZ further highlights the segmented nature of the fault zone structure. These variations might suggest a dominant influence of deep magmatic processes due to destruction of the North China Craton. Our study links shallow structural features to deeper geodynamic activities, emphasizing the role of TLFZ as a critical tectonic boundary.

Author Correction: Past Earth warmed by tidal resonance-induced organization of clouds under a shorter day

Nature Geoscience - Thu, 07/25/2024 - 00:00

Nature Geoscience, Published online: 25 July 2024; doi:10.1038/s41561-024-01515-0

Author Correction: Past Earth warmed by tidal resonance-induced organization of clouds under a shorter day

Water level measurement with a low-cost smartphone using GNSS-IR: an over 2-year study case in Buenos Aires, Argentina

GPS Solutions - Thu, 07/25/2024 - 00:00
Abstract

This work evaluates the capability of a low-cost smartphone to measure variations in water level caused by astronomical tide and storm surges along the coast of Buenos Aires, Argentina, over a period of 27 months, employing the GNSS-IR technique. To achieve this, the smartphone Signal to Noise Ratio-derived heights are contrasted with the heights acquired from a co-located tide gauge of the Argentine Naval Hydrographic Service. A novel methodology is applied to obtain the water levels from the smartphone observations by identifying density maximums in reflections calculated using the Lomb-Scargle periodogram. The density maximums are obtain using LOWESS regression, generating a water level series sampled every 5 min referenced to the Chart Datum. Water levels were calculated for 97.7% of the time, exhibiting a standard deviation of 0.042 m against tide gauge observations. Differences between the daily (monthly) mean levels of the analyzed series showed a standard deviation of 0.016 m (0.007 m), and the amplitude differences for the tidal harmonic constituents were smaller than 0.011 m. While the results found in this work show that these devices cannot compete with traditional tide gauges, they can complement them or be used independently to monitor water level changes in regions where installing and maintaining conventional tide gauges is challenging.

Moist heatwaves intensified by entrainment of dry air that limits deep convection

Nature Geoscience - Thu, 07/25/2024 - 00:00

Nature Geoscience, Published online: 25 July 2024; doi:10.1038/s41561-024-01498-y

Climate model simulations and reanalysis data suggest that inhibition of atmospheric convection by dry air intensifies moist heatwaves, and this process may further increase moist heatwaves under climate warming.

Highly variable deep-sea currents over tidal and seasonal timescales

Nature Geoscience - Thu, 07/25/2024 - 00:00

Nature Geoscience, Published online: 25 July 2024; doi:10.1038/s41561-024-01494-2

Mooring observations suggest that deep-sea currents exhibit substantial variability over tidal and seasonal timescales, driving a complex pattern of sediment transport.

Slip rates and locking depths of the southern Sumatran Fault Zone revealed by new campaign GPS observations

Geophysical Journal International - Thu, 07/25/2024 - 00:00
SummaryThe Sumatran Fault Zone (SFZ) of the Indonesian island of Sumatra, which is broken up into 19 fault segments, accommodates much of the trench-parallel component of the oblique convergence between the Indo-Australian and Sunda plates. To understand the potential hazard of SFZ earthquakes to the local population, we investigate slip rates and locking depths of three SFZ segments in southern Sumatra using previously unpublished data from our Sumatran Fault Monitoring (SuMo) campaign Global Positioning System (GPS) network. We model the GPS data using a two-dimensional interseismic dislocation model optimized using a Bayesian approach. For the Musi segment of the SFZ, we find that slip rates ranging from 10 to 22 mm/year and locking depths from 1 to 20 km fit the data similarly well, suggesting a lack of resolution for the SuMo network in this segment. For the Manna and Kumering segments where the resolution is better, the estimated slip rates are 18 [12–22, 95 per cent confidence intervals] mm/year and 12 [9–15] mm/year, respectively, while the estimated locking depths are 29 [15–47] km and 5 [3–16] km, respectively. The deep locking depth estimated for the Manna segment can be explained by the large station gap in this segment. Considering the uncertainty, all the estimated slip rates from our study remains aligned with the SFZ's average slip rate of ∼15 mm/year, which was previously derived using updated geological slip rates and geodetic block modelling of the entire SFZ. Our results support the idea that the forearc sliver west of the SFZ behaves as a rigid microplate.

Transient electromagnetic inversion to image the shallow subsurface based on convolutional bidirectional Long Short-Term Memory neural networks

Geophysical Journal International - Thu, 07/25/2024 - 00:00
SummaryThe conventional transient electromagnetic inversion method has a low calculation speed and precision and is susceptible to falling into local minima, which does not meet the fine detection requirements of urban underground space. In this study, we proposed a novel inversion method based on convolutional bidirectional long short-term memory neural networks for shallow subsurface transient electromagnetic inversion. This network structure possessed strong spatial feature extraction capabilities and a proficient understanding of sequential data, thereby addressing the issues of slow conventional inversion computations and inadequate inversion accuracy. Utilizing the apparent resistivity from a three-layer model as the sample input and the real model as the target, the network was trained using batch normalization and dropout techniques to accelerate the convergence rate. The resulting model achieved real-time inversion speeds and high accuracy, with robust generalization capabilities and adaptability to new data. To assess the inversion performance, we used a novel one-dimensional inversion error calculation index, the correlation area loss error, for a more accurate measurement. Numerical simulation experiments showed that the proposed method required only 2.121 ss to invert data from 100 observation points. The inversion efficiency was significantly superior to the conventional methods, maintaining excellent accuracy while effectively discerning subsurface electrical stratification in geophysics. Applying convolutional bidirectional long short-term memory neural networks to multi-dimensional and field data yielded results superior to those of conventional inversion, demonstrating the promising applicability and generalization of this approach. This study offers an efficient solution for shallow subsurface transient electromagnetic exploration and holds potential for application in other areas.

Acoustic ambiguity reduction (AAR) method: an acoustic signal identification method for GNSS-A observation considering instrumental signal distortion

Earth,Planets and Space - Thu, 07/25/2024 - 00:00
Seafloor geodetic observation technology is a pivotal method for capturing plate boundary earthquakes and related phenomena. Currently, this task is performed by Global Navigation Satellite System-Acoustic ran...

How spaceborne satellites can help with forest monitoring

Phys.org: Earth science - Wed, 07/24/2024 - 19:54
Information like forest canopy height can be useful in assessing the health of a forest, but current measuring methods are not always feasible for large geographic regions or adaptable to diverse forest types. Monitoring from space can be a solution.

Nationwide flood models poorly reflect risks to households and properties, study finds

Phys.org: Earth science - Wed, 07/24/2024 - 19:48
Government agencies, insurance companies and disaster planners rely on national flood risk models from the private sector that aren't reliable at smaller levels such as neighborhoods and individual properties, according to researchers at the University of California, Irvine.

Characterizing Mesoscale Cellular Convection in Marine Cold Air Outbreaks With a Machine Learning Approach

JGR–Atmospheres - Wed, 07/24/2024 - 19:44
Abstract

During marine cold-air outbreaks (MCAOs), when cold polar air moves over warmer ocean, a well-recognized cloud pattern develops, with open or closed mesoscale cellular convection (MCC) at larger fetch over open water. The Cold-Air Outbreaks in the Marine Boundary Layer Experiment provided a comprehensive set of ground-based in situ and remote sensing observations of MCAOs at a coastal location in northern Norway. MCAO periods that unambiguously exhibit open or closed MCC are determined. Individual cells observed with a profiling Ka-band radar are identified using a watershed segmentation method. Using self-organizing maps (SOMs), these cells are then objectively classified based on the variability in their vertical structure. The SOM nodes contain some information about the location of the cell transect relative to the center of the MCC. This adds classification noise, requiring numerous cell transects to isolate cell dynamical information. The SOM-based classification shows that comparatively intense convection occurs only in open MCC. This convection undergoes an apparent lifecycle. Developing cells are associated with stronger updrafts, large spectrum width, larger amounts of liquid water, lower surface precipitation rates, and lower cloud tops than mature and weakening cells. The weakening of these cells is associated with the development of precipitation-induced cold pools. The SOM classification also reveals less intense convection, with a similar lifecycle. More stratiform vertical cloud structures with weak vertical motions are common during closed MCC periods and are separated into precipitating and non-precipitating stratiform cores. Convection is observed only occasionally in the closed MCC environment.

Wildfires in Ontario and Manitoba affect air quality in Montreal, study shows

Phys.org: Earth science - Wed, 07/24/2024 - 19:40
In July and August 2021, smoke from wildfires in northwestern Ontario and Manitoba affected air quality in Montreal, according to a study led by Patrick Hayes, a professor in the Department of Chemistry at Université de Montréal, and published in ACS Earth and Space Chemistry.

Earth's Alfvén Wings Driven by the April 2023 Coronal Mass Ejection

GRL - Wed, 07/24/2024 - 19:38
Abstract

We report a rare regime of Earth's magnetosphere interaction with sub-Alfvénic solar wind in which the windsock-like magnetosphere transforms into one with Alfvén wings. In the magnetic cloud of a Coronal Mass Ejection (CME) on 24 April 2023, NASA's Magnetospheric Multiscale mission distinguishes the following features: (a) unshocked and accelerated low-beta CME plasma coming directly against Earth's dayside magnetosphere; (b) dynamical wing filaments representing new channels of magnetic connection between the magnetosphere and foot points of the Sun's erupted flux rope; (c) cold CME ions observed with energized counter-streaming electrons, evidence of CME plasma captured due to by reconnection between magnetic-cloud and Alfvén-wing field lines. The reported measurements advance our knowledge of CME interaction with planetary magnetospheres, and open new opportunities to understand how sub-Alfvénic plasma flows impact astrophysical bodies such as Mercury, moons of Jupiter, and exoplanets close to their host stars.

The comparison of an optical and X-ray counterpart of subparsec supermassive binary black holes

Publication date: Available online 14 July 2024

Source: Advances in Space Research

Author(s): Predrag Jovanović, Saša Simić, Vesna Borka Jovanović, Duško Borka, Luka Č. Popović

Detecting the air-cooling effect of urban green spaces in a hot climate town relative to land surface temperature on Landsat-9 thermal imagery

Publication date: Available online 14 July 2024

Source: Advances in Space Research

Author(s): C. Munyati

Comparative analysis of the GNSS-TEC methods for determining effective height of the ionosphere

Publication date: Available online 14 July 2024

Source: Advances in Space Research

Author(s): Opio Phillip, Uwamahoro Jean Claude, Andima Geoffrey, Jurua Edward

Study on the Change of Urban Spatial Structure in Three Northeast Provinces of China Based on the Coupling Relationship between POI and Nighttime Light Data

Publication date: Available online 14 July 2024

Source: Advances in Space Research

Author(s): Mengqi Wang, Guoping Lei, Yue Gao

Wide-field optical tracking of LEO objects: Theoretical assessment and observing strategy

Publication date: Available online 11 July 2024

Source: Advances in Space Research

Author(s): Alberto Buzzoni

A glacial lake outburst flood risk assessment for the Phochhu river basin, Bhutan

Natural Hazards and Earth System Sciences - Wed, 07/24/2024 - 19:09
A glacial lake outburst flood risk assessment for the Phochhu river basin, Bhutan
Tandin Wangchuk and Ryota Tsubaki
Nat. Hazards Earth Syst. Sci., 24, 2523–2540, https://doi.org/10.5194/nhess-24-2523-2024, 2024
A glacial lake outburst flood (GLOF) is a natural hazard in which water from a glacier-fed lake is swiftly discharged, causing serious harm to life, infrastructure, and communities. We used numerical models to predict the potential consequences of a GLOF originating from the Thorthomi glacial lake in Bhutan. We found that if a GLOF occurs, the lake could release massive flood water within 4 h, posing a considerable risk. Study findings help to mitigate the impacts of future GLOFs.

From rockfall source areas identification to susceptibility zonation: a proposed workflow tested in El Hierro (Canary Islands, Spain)

Natural Hazards and Earth System Sciences - Wed, 07/24/2024 - 19:09
From rockfall source areas identification to susceptibility zonation: a proposed workflow tested in El Hierro (Canary Islands, Spain)
Roberto Sarro, Mauro Rossi, Paola Reichenbach, and Rosa María Mateos
Nat. Hazards Earth Syst. Sci. Discuss., https//doi.org/10.5194/nhess-2024-85,2024
Preprint under review for NHESS (discussion: open, 0 comments)
This study proposes a novel workflow to precisely model rockfalls. It compares three methods for defining source areas to enhance model accuracy. Identified areas are inputted into a runout model to identify vulnerable zones. A new approach generates probabilistic susceptibility maps using ECDFs. Validation strategies employing various inventory types are included. Comparing six susceptibility maps highlights the impact of source area definition on model precision.

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