Intelligent Generation of Cross Sections Using a Conditional Generative Adversarial Network and Application to Regional 3D Geological Modeling

The cross section is the basic Bike Seat data for building 3D geological models.It is inefficient to draw a large number of cross sections to build an accurate model.This paper reports the use of multi-source and heterogeneous geological data, such as geological maps, gravity and aeromagnetic data, by a conditional generative adversarial network (C

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Sensitivity of Hurricane Intensity and Structure to Two Types of Planetary Boundary Layer Parameterization Schemes in Idealized HWRF Simulations

ABSTRACT: This paper investigates the sensitivity of simulated hurricane intensity and structure to two planetary boundary layer (PBL) schemes in the Hurricane Weather and Research Forecast model including 1) the GFS scheme (control run) that uses the K-profile method to parameterize turbulent fluxes, and 2) the MYJ scheme that is based on turbulen

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