Patched Local Lunar Gravity Solutions Using GRAIL Data

Abstract We present a method to determine local gravity fields for the Moon using Gravity Recovery and Interior Laboratory (GRAIL) data. We express gravity as gridded gravity anomalies on a sphere, and we estimate adjustments to a background global start model expressed in spherical harmonics. We pr...

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Autores principales:	Sander Goossens, Álvaro Fernández Mora, Eduard Heijkoop, Terence J. Sabaka
Formato:	article
Lenguaje:	EN
Publicado:	American Geophysical Union (AGU) 2021
Materias:	Lunar gravity gravity field determination localized analysis inverse problems satellite data analysis lunar crust Astronomy QB1-991 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/2672197a8dad433187d0bbb291236773
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spelling	oai:doaj.org-article:2672197a8dad433187d0bbb2912367732021-11-23T21:03:08ZPatched Local Lunar Gravity Solutions Using GRAIL Data2333-508410.1029/2021EA001695https://doaj.org/article/2672197a8dad433187d0bbb2912367732021-11-01T00:00:00Zhttps://doi.org/10.1029/2021EA001695https://doaj.org/toc/2333-5084Abstract We present a method to determine local gravity fields for the Moon using Gravity Recovery and Interior Laboratory (GRAIL) data. We express gravity as gridded gravity anomalies on a sphere, and we estimate adjustments to a background global start model expressed in spherical harmonics. We processed GRAIL Ka‐band range‐rate data with a short‐arc approach, using only data over the area of interest. We determine our gravity solutions using neighbor smoothing constraints. We divided the entire Moon into 12 regions and 2 polar caps, with a resolution of 0.15°×0.15° (which is equivalent to degree and order 1199 in spherical harmonics), and determined the optimal smoothing parameter for each area by comparing localized correlations between gravity and topography for each solution set. Our selected areas share nodes with surrounding areas and they are overlapping. To mitigate boundary effects, we patch the solutions together by symmetrically omitting the boundary parts of overlapping solutions. Our new solution has been iterated, and it has improved correlations with topography when compared to a fully iterated global model. Our method requires fewer resources, and can easily handle regionally varying resolution or constraints. The smooth model describes small‐scale features clearly, and can be used in local studies of the structure of the lunar crust.Sander GoossensÁlvaro Fernández MoraEduard HeijkoopTerence J. SabakaAmerican Geophysical Union (AGU)articleLunar gravitygravity field determinationlocalized analysisinverse problemssatellite data analysislunar crustAstronomyQB1-991GeologyQE1-996.5ENEarth and Space Science, Vol 8, Iss 11, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Lunar gravity gravity field determination localized analysis inverse problems satellite data analysis lunar crust Astronomy QB1-991 Geology QE1-996.5
spellingShingle	Lunar gravity gravity field determination localized analysis inverse problems satellite data analysis lunar crust Astronomy QB1-991 Geology QE1-996.5 Sander Goossens Álvaro Fernández Mora Eduard Heijkoop Terence J. Sabaka Patched Local Lunar Gravity Solutions Using GRAIL Data
description	Abstract We present a method to determine local gravity fields for the Moon using Gravity Recovery and Interior Laboratory (GRAIL) data. We express gravity as gridded gravity anomalies on a sphere, and we estimate adjustments to a background global start model expressed in spherical harmonics. We processed GRAIL Ka‐band range‐rate data with a short‐arc approach, using only data over the area of interest. We determine our gravity solutions using neighbor smoothing constraints. We divided the entire Moon into 12 regions and 2 polar caps, with a resolution of 0.15°×0.15° (which is equivalent to degree and order 1199 in spherical harmonics), and determined the optimal smoothing parameter for each area by comparing localized correlations between gravity and topography for each solution set. Our selected areas share nodes with surrounding areas and they are overlapping. To mitigate boundary effects, we patch the solutions together by symmetrically omitting the boundary parts of overlapping solutions. Our new solution has been iterated, and it has improved correlations with topography when compared to a fully iterated global model. Our method requires fewer resources, and can easily handle regionally varying resolution or constraints. The smooth model describes small‐scale features clearly, and can be used in local studies of the structure of the lunar crust.
format	article
author	Sander Goossens Álvaro Fernández Mora Eduard Heijkoop Terence J. Sabaka
author_facet	Sander Goossens Álvaro Fernández Mora Eduard Heijkoop Terence J. Sabaka
author_sort	Sander Goossens
title	Patched Local Lunar Gravity Solutions Using GRAIL Data
title_short	Patched Local Lunar Gravity Solutions Using GRAIL Data
title_full	Patched Local Lunar Gravity Solutions Using GRAIL Data
title_fullStr	Patched Local Lunar Gravity Solutions Using GRAIL Data
title_full_unstemmed	Patched Local Lunar Gravity Solutions Using GRAIL Data
title_sort	patched local lunar gravity solutions using grail data
publisher	American Geophysical Union (AGU)
publishDate	2021
url	https://doaj.org/article/2672197a8dad433187d0bbb291236773
work_keys_str_mv	AT sandergoossens patchedlocallunargravitysolutionsusinggraildata AT alvarofernandezmora patchedlocallunargravitysolutionsusinggraildata AT eduardheijkoop patchedlocallunargravitysolutionsusinggraildata AT terencejsabaka patchedlocallunargravitysolutionsusinggraildata
_version_	1718416083267878912

Patched Local Lunar Gravity Solutions Using GRAIL Data

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