Derivation of geophysical parameters from satellite measured brightness-temperature (TB) is an important aspect of satellite remote sensing. Primarily, this involves development of complex inversion algorithms and empirical relations comprising TB and in situ data for parameter retrieval and algorithm validation. In the present work, an Artificial Neural Network model has been attempted to simu...

[1] Global high-resolution (3-hourly, 0.1 0.1 longitude-latitude) water vapor (6.7 mm) and window (11 mm) radiances from multiple geostationary satellites are used to document the diurnal cycle of upper tropospheric relative humidity (UTH) and its relationship to deep convection and high clouds in the whole tropics and to evaluate the ability of the new Geophysical Fluid Dynamics Laboratory (GF...

In this thesis, the results from a geophysical mapping and coring campaign of Lagoa das Furnas are presented. Specific focus is placed on the origin of a subaqueous volcanic cone mapped in the southern part of the lake. Lagoa das Furnas is a crater lake within the Furnas volcanic centre which is located on the island of São Miguel in the Azores archipelago. The Furnas volcanic centre has a long...

Accurate salt interpretation involves an integration of geology and geophysics. In the practice of salt interpretation and model building in depth imaging, we see two problems that could happen: exclusive geophysical interpretation without geological input and insufficient geological interpretation without understanding how the geophysical data are processed and without evaluating the limit and...

The temperature and composition of Earth's mantle control fundamental planetary properties, including the vigor of mantle convection and the depths of the ocean basins. Seismic wave velocities, ocean ridge depths, and the composition of mid-ocean ridge basalts can all be used to determine variations in mantle temperature and composition, yet are typically considered in isolation. We show that c...

Seismic fault structures are important for the detection and exploitation of hydrocarbon resources. Due to their development popularity in geophysical community, deep-learning-based methods have been proposed achieved SOTA results. efficiency benefits full spatial information extraction, 3D convolutional neural networks (CNNs) used widely directly detect faults on seismic data volumes. However,...

In complex plate-boundary settings, a reliable 3-D geophysical characterization of the deep tectonic structure is fundamental starting point for breakthrough in analysis processes controlling plate subduction and (U)HP rock exhumation. The Western Alps host one best-studied fossil zones worldwide, with well-defined 2-D based on recent experiments. However, full its still lacking. Here we presen...

introduction: occurrence of landslides depends on several factors such as the composition and structure of earth materials, rainfall level, temperature, groundwater regime and cover crops. landslides are a main natural hazard in iran, because of its special geological conditions and its mountainous active tectonic regime. linear civil structures, such as roads, highways and railways, face serio...

Sequential Bayesian techniques enable tracking of evolving geophysical parameters via sequential observations. They provide a formulation in which the geophysical parameters that characterize dynamic, nonstationary processes are continuously estimated as new data become available. This is done by using prediction from previous estimates of geophysical parameters, updates stemming from physical ...

Rock physics models allow establishing a physical-mathematical relation between rock and fluid properties and geophysical attributes. In this study, we propose to apply rock physics models to a geophysical dataset measured at two well locations near the proposed Snake River Plain FORGE site in eastern Idaho. The potential target is a rhyolite layer, which occurs between 2,000 and 3,000 m. The a...