Geophysical mapping and coring of the central Arctic Ocean seafloor provide evidence for repeated occurrences of ice sheet/ice shelf complexes during previous glacial periods. Several ridges and bathymetric highs shallower than present water depths of �1000m show signs of erosion from deep-drafting (armadas of) icebergs, which originated from thick outlet glaciers and ice shelves. Mapped glacig...

Crustal thickness is an important factor affecting lithosphere structure and therefore deep geodynamics. In this paper, we propose to apply deep learning neural networks called stacked sparse 10 auto-encoder to obtain crustal thickness for eastern Tibet and western Yangtze craton. Firstly taking phase and group velocities simultaneously as input and theoretical crustal thickness as output, we c...

Permafrost (frozen ground that remains at or below 0◦C for at least two consecutive years) covers 24% of northern circumpolar continents (Zhang et al. 1999). Thawing permafrost in a warming climate can cause hazards of serious concern: (1) Significant amounts of greenhouse gases can be released into the atmosphere due to large-scale microbial decomposition of organic matter that are previously ...

Cloud system resolving model study of the roles of deep convection for photo-chemistry in the TOGA COARE/CEPEX region M. Salzmann, M. G. Lawrence, V. T. J. Phillips, and L. J. Donner Max-Planck-Institute for Chemistry, Department of Atmospheric Chemistry, P.O. Box 3060, 55020 Mainz, Germany Department of Meteorology, University of Hawaii at Manoa, 2525 Correa Road, Honolulu, HI 96822, USA Geoph...

Geosteering of wells requires fast interpretation geophysical logs, which is a non-unique inverse problem. Current work presents proof-of-concept approach to multi-modal probabilistic inversion logs using single evaluation an artificial deep neural network (DNN). A mixture density DNN (MDN) trained the "multiple-trajectory-prediction" (MTP) loss functions, avoids mode collapse typical for tradi...

The aim of this study is to test the quality of the neural network for retrieving the temperature and humidity by comparison with the radiosond values and a linear regression method. Remote sensed images give useful information about the atmosphere. In this article, MODIS data is used to retrieve temperature and humidity profiles of the atmosphere. Two methods of linear regression and artificia...

Geophysical and oceanographic observations establish how a deep magma chamber fueled an extraordinary eruption.