Abstract The gravity fields of celestial bodies that possess an atmosphere are periodically perturbed by the redistribution fluid mass associated with atmospheric dynamics. A component this perturbation is due to gravitational response body deformation its surface induced pressure loading. magnitude effect depends on relation between loading and in terms geopotential variations measured load Lo...

Abstract In this study, we evaluate the suitability of recent Earth Gravitational Models (EGMs) for realization International Height Reference System (IHRS) in Canada. Topographic gravity field models have been used to augment EGMs spatial resolution reaching 2 ′ (about 4 km), which is comparable regional geoid models. The advantages using an EGM over a approach IHRS are its uniform representat...

the earth’s gravity field dedicated missions, champ, grace and goce have opened up a new era for the study of the earth’s gravity field. the missions measure different functionals on the earth’s gravitational potential which are represented in terms of the stokes coefficients or the so-called geopotential models. the mapping process of the observations into the coefficients is called recovery o...

Abstract Medicanes are tropical‐like cyclones that develop in the Mediterranean Sea. Due to their harmful potential, study of medicanes has captured great attention from scientific community. In context a changing climate, future climatological characterization can only be achieved using climate model output. A frequently used method characterize thermal structure is cyclone phase space (CPS) d...

Abstract In the frame of “Modernization Hellenic Gravity Network - ModernGravNet” project, relative and absolute gravity measurements were carried out at selected 1st 2nd order benchmarks network. These are used first for evaluation Then, as official network values referenced to Potsdam system, transformation parameters determined converting new system it is defined by measurements. A northeast...

For forecasting the maximum 5-day accumulated precipitation over the winter season at lead times of 3, 6, 9 and 12 months over Canada from 1950 to 2007, two nonlinear and two linear regression models were used, where the models were support vector regression (SVR) (nonlinear and linear versions), nonlinear Bayesian neural network (BNN) and multiple linear regression (MLR). The 118 stations were...