Results 71 to 80 of about 1,948 (180)

Global Yerpotansiyel Modellerin Gravimetrik Jeoit Belirlemeye Katkısı [PDF]

open access: yes, 2018
Gravimetrik jeoit belirlemede global yerpotansiyel modellerinden, sayısal yükseklik modellerinden ve yersel gravite gözlemlerinden yararlanılır. Yeryuvarının tümüne homojen olarak yayılmış gravite gözlemlerinin değerlendirilmesiyle global yerpotansiyel ...
Ramazan Alpay Abbak   +5 more
core   +1 more source

Towards the Selection of an Optimal Global Geopotential Model for the Computation of the Long-Wavelength Contribution: A Case Study of Ghana

open access: yesGeosciences, 2017
The selection of a global geopotential model (GGM) for modeling the long-wavelength for geoid computation is imperative not only because of the plethora of GGMs available but more importantly because it influences the accuracy of a geoid model.
Caleb Iddissah Yakubu   +2 more
doaj   +1 more source

Evaluation of global geopotential models by GPS-leveling data in Turkey [PDF]

open access: yes, 2008
Küresel harmonik katsayılardan ( C nm , S nm ) oluşan global jeopotansiyel modeller, yeryuvarının dış çekim alanını belirlemek amacıyla kullanılırlar. Söz konusu katsayılar uydu yörünge bozulmaları, yersel gravite anomalileri ve altimetre verilerinden ...
Üstün, Aydın, Tepeköylü, Serap
core  

On Applicability of the Radially Integrated Geopotential in Modelling Deep Mantle Structure

open access: yesGeosciences
A long-wavelength geoidal geometry reflects mainly lateral density variations in the Earth’s mantle, with the most pronounced features of the Indian Ocean Geoid Low and the West Pacific and North Atlantic Geoid Highs.
Robert Tenzer, Wenjin Chen, Peter Vajda
doaj   +1 more source

Climate change and circulation types in the Alpine region

open access: yesMeteorologische Zeitschrift, 2017
The frequency of circulation types over the Alpine region is explored using 20 different global and regional climate model chains. The projected changes in these circulation types are investigated for the 21st century using the SRES A1B scenario.
Marco Rohrer   +2 more
doaj   +1 more source

An Ensemble Mean and Evaluation of Third Generation Global Climate Reanalysis Models

open access: yesAtmosphere, 2018
We have produced a global ensemble mean of the four third-generation climate reanalysis models for the years 1981–2010. The reanalysis system models used in this study are National Centers for Environmental Prediction (NCEP) Climate Forecast System
Jeffrey D. Auger   +4 more
doaj   +1 more source

Use of global geopotential models for comparison of gravimetric geoid estimators by the modification of Stoke's formula [PDF]

open access: yes, 2003
Considering today struggles towards the 1-cm geoid, in an attempt to study the efficiency of some geoidal height estimators, Molodensky et al. (1962), Wong and Gore (1969), Vincent and Marsh (1974), Sjöberg's least-squares (1984) and Vanicek and ...
Nahavandchi, Hossein
core  

Evaluation of global geopotential models by GPS-leveling data in Turkey [PDF]

open access: yes, 2007
Küresel harmonik katsayılardan ( nm C , nm S ) oluşan global jeopotansiyel modeller, yeryuvarının dış çekim alanını belirlemek amacıyla kullanılırlar. Söz konusu katsayılar uydu yörünge bozulmaları, yersel gravite anomalileri ve altimetre verilerinden ...
Tepeköylü, Serap
core  

Subgrid-Scale Topographic Effects on Radiation for Global Weather Forecast Models

open access: yesAtmosphere
The incoming solar radiation arriving the Earth’s surface is strongly influenced by surface terrain. Conventional global weather forecast models, with grid scales of about 10 km, lack the resolution to accurately capture terrain-induced variations.
Sunghye Baek, Junghan Kim
doaj   +1 more source

DETERMINATION OF EFFECTIVE ELASTIC THICKNESS OF THE COLOMBIAN ANDES USING SATELLITE-DERIVED GRAVITY DATA

open access: yesEarth Sciences Research Journal, 2010
<p align="left">Gravity anomaly values derived from Global Geopotential Models (calculated from the CHAMP and GRACE satellite missions), are compared with free air ground gravity data to find the best representation of surface data.
Casallas1 Iván, Galán Remy
doaj  

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