Time-lapse gravity data Corbetti caldera (Ethiopia): 2014/16 (NERC grant NE/L013932/1)

The RiftVolc microgravity network was comprised of a total of 4 benchmarks including a reference benchmark. Benchmark locations, observed gravity changes, dg14 -16, from 2014-2016, corresponding vertical deformation, Uz, free-air effect, and resultant residual gravity changes gr of the microgravity and GNSS network at Corbetti.

Citation proposal
. Time-lapse gravity data Corbetti caldera (Ethiopia): 2014/16 (NERC grant NE/L013932/1). https://metadata.bgs.ac.uk/geonetwork/srv/api/records/9df90daf-e91a-33f3-e054-002128a47908

Simple

Date ( Creation ): 2020

Identifier: http://data.bgs.ac.uk/id/dataHolding/13607582

Point of contact

University of Bristol - Joachim Gottsmann (School of Earth Sciences )

Queen's Road, Wills Memorial Building Bristol BS8 1RJ

Principal investigator

University of Bristol - Joachim Gottsmann (School of Earth Sciences )

Queen's Road, Wills Memorial Building Bristol BS8 1RJ

Maintenance and update frequency: notApplicable notApplicable

GEMET - INSPIRE themes

Geology

BGS Thesaurus of Geosciences

Gravity , Rift zone , Rift valleys , Magma , Deformation (structural geology) , Caldera

Keywords

NERC_DDC

Access constraints: otherRestrictions Other restrictions

Use constraints: otherRestrictions Other restrictions

Other constraints: The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.

Other constraints: Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"

Metadata language: English English

Topic category

Geoscientific information

Geographic identifier

Date ( Revision ): 2009

Geographic identifier

ETH

Date ( Revision ): 2009

Geographic identifier

ETHIOPIA [id=692000]

Date ( Creation ): 1979

Reference system identifier

OGP / GEOG

Date ( Revision ): 2005

Distribution format

Text Document ()

OnLine resource: https://www.bgs.ac.uk/services/ngdc/accessions/index.html#item132525

Hierarchy level: dataset Dataset

Other: dataset

Conformance result

Date ( Publication ): 2011

Explanation: See the referenced specification

Pass: false

Conformance result

Date ( Publication ): 2010-12-08

Explanation: See http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2010:323:0011:0102:EN:PDF

Pass: false

Statement: Gravimetric data were collected in late September/early October of 2014, 2015 and 2016 using a Scintrex CG-5 gravimeter (serial no. 572) at three benchmarks and related to a reference (CBAS) located outside the area of interest. Benchmark occupations followed a strict protocol whereby several repeat measurements were conducted as part of a survey loop, which started and ended at the reference. At least 5 cycles of 45 second-long readings at 6Hz were performed at each benchmark and the number of cycles was adjusted appropriate to the required data precision of < 2µGal. Benchmarks were visited between 3 and 6 times per survey resulting in data repeatability of between 1 and 7µGal at individual benchmarks. Raw gravity data were reduced for tidal effects of both Earth and ocean components using the Wahr-Dehant and GOT99.2 latitude-dependent models, respectively.