{"response":{"award":[{"abstractText":"Research in modern geophysics increasingly requires access to significant computational resources which are needed to analyze large datasets using techniques such as InSAR time-series, as well as active and passive seismic imaging of the subsurface, and finite element modeling of subsurface processes. These analysis techniques require thousands of CPU-hours and can involve tens to hundreds of terabytes of data which are beyond the scale that workstations or small servers can manage. In addition, it is not practical to use cloud computing due to the need to move and store very large datasets. This award will significantly expand the capabilities of the University of New Mexico (UNM) in each of the research areas mentioned above through the acquisition of dedicated computational resources for storage and analysis of large geophysical datasets. The award also includes support for development of a Computational Earth Sciences summer workshop for undergraduates, led by the PIs and graduate students. By providing access to critical training in programming and high-performance computing, this workshop will encourage students from under-represented groups in STEM to continue a career in Earth sciences research and other computational fields. This project received co-funding from the Established Program to Stimulate Competitive Research (EPSCoR).\r\n\r\nThis award will support the acquisition of a shared geophysics computing facility with two primary components: (1) a storage server with 192 TB capacity that will host geophysical datasets and processing results, and (2) a cluster of 4 dedicated computing nodes with 32 CPUs and 192 GB RAM each, that will run alongside the storage server. These resources will be hosted at the UNM Center for Advanced Research Computing (CARC), improving the ability to rapidly prototype code and store datasets larger than currently supported by existing CARC resources, while enabling access to larger-scale processing through CARC when needed. Together, these resources will enable us to quickly and seamlessly conduct large-scale computational projects that are presently beyond the reach of this institution. This computational resource will enable development of high-fidelity, data-driven models to investigate issues of particular concern to New Mexico, including: (1) the occurrence of injection-induced earthquakes in the Raton Basin, (2) magma storage and inflation of the Socorro Magma Body and the Valles Caldera, and (3) assessment of the long-term sustainability of actively exploited aquifers across the state.\r\n\r\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.","activeAwd":"false","agency":"NSF","awardAgencyCode":"4900","awardee":"UNIVERSITY OF NEW MEXICO","awardeeAddress":"1 UNIVERSITY OF NEW MEXICO","awardeeCity":"ALBUQUERQUE","awardeeCountryCode":"US","awardeeDistrict":"01","awardeeDistrictCode":"NM01","awardeeName":"University of New Mexico","awardeePhone":"5052774186","awardeeStateCode":"NM","awardeeZipCode":"871310001","cfdaNumber":"47.050, 47.083","coPDPI":["Mousumi Roy mroy@unm.edu","Lindsay L Worthington lworthington@unm.edu","Brandon Schmandt brandon.schmandt@rice.edu"],"date":"03/16/2022","dirAbbr":"GEO","divAbbr":"EAR","estimatedTotalAmt":"94997","expDate":"03/31/2023","fundAgencyCode":"4900","fundProgramName":"Instrumentation & Facilities, EPSCoR Co-Funding","fundsObligated":["FY 2022 = $94,997.00"],"fundsObligatedAmt":"94997","histAwd":"false","id":"2146272","initAmendmentDate":"03/16/2022","latestAmendmentDate":"03/16/2022","managingPec":"158000","orgCodeDir":"06000000","orgCodeDiv":"06030000","orgLongName":"Directorate for Geosciences","orgLongName2":"Division Of Earth Sciences","orgUrl":"http://www.nsf.gov/div/index.jsp?div=ear","parentUeiNumber":"","pdPIName":"Eric O Lindsey","perfAddress":"1700 Lomas Blvd. NE, Suite 2200","perfCity":"Albuquerque","perfCountryCode":"US","perfDistrict":"01","perfDistrictCode":"NM01","perfLocation":"University of New Mexico","perfStateCode":"NM","perfZipCode":"871310001","pi":["Eric O Lindsey eol@unm.edu"],"piEmail":"eol@unm.edu","piFirstName":"Eric","piId":"270064011","piLastName":"Lindsey","piMiddeInitial":"O","poEmail":"lastiz@nsf.gov","poName":"Luciana Astiz","poPhone":"7032924705","primaryProgram":["01002223DB NSF RESEARCH & RELATED ACTIVIT"],"progEleCode":"158000, 915000","program":"EXP PROG TO STIM COMP RES","progRefCode":"9150","projectOutComesReport":"
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Research in modern geophysics increasingly requires access to significant computational resources. Analysis techniques such as passive or active seismic imaging of the subsurface, finite element modeling of magmatic and seismic processes, and image analysis of large-scale Interferometric Synthetic Aperture Radar (InSAR) require thousands of CPU-hours and can involve tens or hundreds of terabytes of data. These workloads are beyond the scale that workstations or small servers can manage and can be prohibitively expensive to undertake through commercial cloud computing services. This award significantly expanded the capabilities of the University of New Mexico (UNM) in geophysics through the acquisition of dedicated computational resources for storage and analysis of large datasets. The award also included support for development of a Computational Earth Sciences summer workshop for undergraduates, led by the PIs and graduate students. By providing access to critical training in programming and high-performance computing, this workshop encourages students from under-represented groups in STEM to continue a career in Earth sciences research and other computational fields.

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This award supported the acquisition of a shared geophysics computing facility with two primary components: (1) a data storage server with a 200 terabyte (TB) capacity that now hosts geophysical datasets and processing results, and (2) a cluster of 3 dedicated computing nodes with 32 CPUs and 512 GB RAM each, that run alongside the data storage server. These resources are hosted at the UNM Center for Advanced Research Computing (CARC) and integrated into a larger cluster with a current total of 63 computing nodes. The new computing facility has greatly improved the PIs? and their students? ability to rapidly prototype code, conduct analyses, and store datasets larger than previously supported by existing CARC resources, while enabling access to even larger-scale computing resources through CARC when needed. This computational facility has enabled development of high-fidelity, data-driven models to investigate issues of particular concern to New Mexico, including: (1) the occurrence of injection-induced earthquakes in the Raton Basin, (2) magma storage and inflation of the Socorro Magma Body and the Valles Caldera, and (3) assessment of the long-term sustainability of actively exploited aquifers across the state; as well as several other projects now underway.

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This award also supported the development of a two-week, intensive data-science and computing summer workshop for upper-division undergraduates at UNM titled ?Earth Sciences Computing and Programming Experience? (ESCAPE). The workshop topics focused on developing scientific computing skills with a focus on data science in geophysics and Earth science, covering multiple aspects of research and inquiry: interacting with spatial datasets, visualization and interpretation of data, and modeling and optimization of parameters based on data. Workshop participants were recruited from current UNM undergraduates (Juniors and Seniors) majoring in EPS, Physics and Astronomy, and Computer Science. Workshop participants were chosen through a short application process, with an eye towards balancing participation by members of under-represented groups, as well as experience and interests among the group. The initial cohort consisted of 13 students, of whom 9 were women and nearly half identified as underrepresented minority students. Workshop success was evaluated through pre- and post-workshop surveys that included a self-assessment of scientific computing proficiency and a sense of students? sense of belonging in their field. The survey results from the workshop indicated a positive change in the participants? sense of belonging and inclusion in their academic/professional field across several metrics. We plan to continue holding this workshop each summer, with additional funding from UNM and through future NSF awards.

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\n\t\t\t\t \tLast Modified: 07/12/2023
\n\t\t\t\t\tModified by: Eric O Lindsey

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    2022 ESCAPE participants during a half-day field trip to collect short offset seismic observations near the Rio Grande river, Albuquerque, NM.
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    Eric O Lindsey
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    2022 ESCAPE participants during a half-day field trip to collect short offset seismic observations near the Rio Grande river, Albuquerque, NM.
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    Student responses (n=13) before and after the 2022 ESCAPE workshop, given the prompt �To what extent do you agree or disagree with the following statement regarding your academic / professional field?�
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    Eric Lindsey
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    Eric O Lindsey
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    Student responses (n=13) before and after the 2022 ESCAPE workshop, given the prompt �To what extent do you agree or disagree with the following statement regarding your academic / professional field?�
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","publicAccessMandate":"1","startDate":"04/15/2022","title":"Acquisition of Computing Facilities to support Collaborative Geophysics Research at the University of New Mexico","transType":"Standard Grant","ueiNumber":"F6XLTRUQJEN4"}],"metadata":{"offset":0,"rpp":25,"totalCount":1}}}