Abstract In this study, we apply a spectral combination method for estimation of height anomalies from gradients the gravitational potential measured by satellites. The is used solving over-determined problems within gravity field modelling when multiple types data are collected and recovery unobservable quantities (typically potential). applies solutions to geodetic boundary-value formulated i...

We use a conditional deep convolutional generative adversarial network to predict the geopotential height of 500 hPa pressure level, two-meter temperature and total precipitation for next 24 h over Europe. The proposed models are trained on 4 years ERA5 reanalysis data from with goal associated meteorological fields in 2019. forecasts show good qualitative quantitative agreement true temperatur...

Due to the discreteness of gravitational and magnetic fields measurements in mathematical theory interpretation, finite element models environment, which have universal capabilities deploy various a priori information, are paramount importance. Known methods for solving inverse problems field sources can be divided into two classes. The first, where interpretation result is traditionally single...

In this study, the monthly averaged daily mean temperature, relative humidity and surface pressure data obtained from European Centre for Medium-Range Weather Forecasts (ECMWF) during period of thirty eight (1979 – 2016) years were used to estimate variation geopotential scale heights Iseyin located in South Western region Nigeria. The variations with meteorological parameters investigated. res...