نتایج جستجو برای: geopotential models

تعداد نتایج: 908555  

2003
LORENZO IORIO Lorenzo Iorio

We examine how the new forthcoming Earth gravity models from the CHAMP and, especially, GRACE missions could improve the measurement of the general relativistic Lense–Thirring effect according to the various kinds of observables which could be adopted. In a very preliminary way, we use the recently released EIGEN2 CHAMP–only and GRACE01S GRACE–only Earth gravity models in order to assess the im...

1996
Xu-Feng Niu Ian W. McKeague James B. Elsner

In this paper a class of seasonal space-time models is introduced for general lattice systems. Covariance properties of spatial rst-order models, including stationarity conditions, are studied. Procedures for examining spatial independence and symmetry of the models are developed. Estimation approaches in time series analysis are adopted, and forecasting techniques using the seasonal space-time...

2014
Walyeldeen Godah Malgorzata Szelachowska Jan Krynski

The GOCE (Gravity Field and Steady-State Ocean Circulation Explorer) has signifi cantly upgraded the knowledge on the Earth gravity fi eld. In this contribution the accuracy of height anomalies determined from Global Geopotential Models (GGMs) based on approximately 27 months GOCE satellite gravity gradiometry (SGG) data have been assessed over Poland using three sets of precise GNSS/levelling ...

2001
Xu-Feng Niu Ian W. McKeague James B. Elsner

A class of seasonal space-time models for general lattice systems is proposed. Co-variance properties of spatial rst-order models are studied. Estimation approaches in time series analysis are adopted and forecasting techniques using the seasonal space-time models are discussed. The models are applied to 516 consecutive elds of monthly-averaged 500 mb geopotential heights over a 1010 lattice in...

2012
Andrew E. Mercer Michael B. Richman

A popular methodology to filter seemingly chaotic atmospheric flow into an ordered set of modes of variability is to identify those patterns of geopotential height that occur often. Historically, understanding of the leading patterns or modes of variability was determined through linear statistical methods. Recently, nonlinear methods, such as kernel principal component analysis (KPCA), have be...

Journal: :САВРЕМЕНА ТЕОРИЈА И ПРАКСА У ГРАДИТЕЉСТВУ 2020

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