BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20241120T082410Z
LOCATION:HG F 30 Audi Max
DTSTART;TZID=Europe/Stockholm:20240603T185500
DTEND;TZID=Europe/Stockholm:20240603T185700
UID:submissions.pasc-conference.org_PASC24_sess156_pos137@linklings.com
SUMMARY:P07 - Automatic Generation of Block-Structured Grids on Complex Oc
 ean Domains for High Performance Simulation
DESCRIPTION:Poster\n\nSara Faghih-Naini (ECMWF), Daniel Zint (New York Uni
 versity), Vadym Aizinger and Jonathan Schmalfuß (University of Bayreuth), 
 and Roberto Grosso and Julian Stahl (Friedrich-Alexander-Universität Erlan
 gen-Nürnberg)\n\nClimate change research increasingly relies on interdisci
 plinary scientific studies utilizing advanced computational methods. For m
 odeling climate compartments, the choice of the underlying grid is difficu
 lt; therefore, unstructured grids are often preferred. An alternative are 
 block-structured grids (BSGs), a topological unstructured mesh of blocks, 
 where each block contains a structured mesh. We present methods, validatio
 n, and computational performance evaluation for a range of BSG techniques:
  [Standard BSG] a method of automatic creation for complex ocean domains w
 ith a configurable number of blocks (Zint et al., 2019) and (Faghih-Naini 
  et al., 2020); [Masked BSG] an improvement allowing for masking out parts
  of the blocks (Zint et al., 2022) and (Faghih-Naini et al., 2023) and [Hy
 brid BSG] the combination of unstructured blocks and structured blocks in 
 one block-structured grid. Ongoing work will be presented for the hybrid a
 pproach, leveraging both block types. The unstructured blocks enable detai
 led modeling of complex domain features, while the structured blocks enhan
 ce computational efficiency. Through this hybrid grid approach, we aim to 
 achieve a balance between the need for a detailed representation of the do
 main and computational expediency.\n\nSession Chair: Erik W. Draeger (Lawr
 ence Livermore National Laboratory)
END:VEVENT
END:VCALENDAR