Mon Oct 13, F. Flechtner
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Erol, Bihter, I&scedilık, Mustafa Serkan, and Erol, Serdar, 2020. An Assessment of the GOCE High-Level Processing Facility (HPF) Released Global Geopotential Models with Regional Test Results in Turkey. Remote Sensing, 12(3):586, doi:10.3390/rs12030586.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2020RemS...12..586E,
author = {{Erol}, Bihter and {I{\c{s}}{\i}k}, Mustafa Serkan and {Erol}, Serdar},
title = "{An Assessment of the GOCE High-Level Processing Facility (HPF) Released Global Geopotential Models with Regional Test Results in Turkey}",
journal = {Remote Sensing},
keywords = {gravity field satellite missions, GOCE, GRACE, GOCE High-Level Processing Facility (HPF), earth gravity field, geoid, spectral enhancement method (SEM), GPS/leveling},
year = 2020,
month = feb,
volume = {12},
number = {3},
eid = {586},
pages = {586},
abstract = "{The launch of dedicated satellite missions at the beginning of the 2000s
led to significant improvement in the determination of Earth
gravity field models. As a consequence of this progress, both
the accuracies and the spatial resolutions of the global
geopotential models increased. However, the spectral behaviors
and the accuracies of the released models vary mainly depending
on their computation strategies. These strategies are briefly
explained in this article. Comprehensive quality assessment of
the gravity field models by means of spectral and statistical
analyses provides a comparison of the gravity field mapping
accuracies of these models, as well as providing an
understanding of their progress. The practical benefit of these
assessments by means of choosing an optimal model with the
highest accuracy and best resolution for a specific application
is obvious for a broad range of geoscience applications,
including geodesy and geophysics, that employ Earth gravity
field parameters in their studies. From this perspective, this
study aims to evaluate the GOCE High-Level Processing Facility
geopotential models including recently published sixth releases
using different validation methods recommended in the
literature, and investigate their performances comparatively and
in addition to some other models, such as GOCO05S, GOGRA04S and
EGM2008. In addition to the validation statistics from various
countries, the study specifically emphasizes the numerical test
results in Turkey. It is concluded that the performance improves
from the first generation RL01 models toward the final RL05
models, which were based on the entire mission data. This
outcome was confirmed when the releases of different computation
approaches were considered. The accuracies of the RL05 models
were found to be similar to GOCO05S, GOGRA04S and even to RL06
versions but better than EGM2008, in their maximum expansion
degrees. Regarding the results obtained from these tests using
the GPS/leveling observations in Turkey, the contribution of the
GOCE data to the models was significant, especially between the
expansion degrees of 100 and 250. In the study, the tested
geopotential models were also considered for detailed geoid
modeling using the remove-compute-restore method. It was found
that the best-fitting geopotential model with its optimal
expansion degree (please see the definition of optimal degree in
the article) improved the high-frequency regional geoid model
accuracy by almost 15\%.}",
doi = {10.3390/rs12030586},
adsurl = {https://ui.adsabs.harvard.edu/abs/2020RemS...12..586E},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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