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:20250822T115807Z
LOCATION:Room 5.0B15 & 16
DTSTART;TZID=Europe/Stockholm:20250616T153000
DTEND;TZID=Europe/Stockholm:20250616T160000
UID:submissions.pasc-conference.org_PASC25_sess128_msa217@linklings.com
SUMMARY:Application of Adaptive Mesh Refinement for the Compression of ERA
 5 Meteorological Reanalysis Data
DESCRIPTION:Farahnaz Khosrawi (Forschungszentrum Jülich), Adrian Kolb (RWT
 H Aachen University), Lars Hoffmann (Forschungszentrum Jülich), and Siegfr
 ied Müller (RWTH Aachen University)\n\nThe storage requirements for meteor
 ological reanalysis data have increased significantly in recent years. To 
 address the challenges of handling these large data sets, efficient compre
 ssion techniques are required. In addition, the error of the compressed da
 ta should be as small as possible. Although lossless compression algorithm
 s exist, the resulting data are still too large. Conversely, lossy compres
 sion formats allow a small file size, but are often not able to control th
 e error relative to the original data. We propose a multiresolution-based 
 grid adaptation as an alternative method for lossy compression. To do this
 , we perform a multiresolution analysis using multiwavelets on a\nhierarch
 y of nested grids. This method provides us with local information on the d
 ifferences between successive refinement levels. Since smooth regions have
  small local differences, we apply hard thresholding to resolve these regi
 ons on a coarser grid. Thus, the data is projected onto an adaptive grid w
 here only regions with steep gradients or discontinuities have a high reso
 lution, which significantly reduces the file size. We present how data com
 pression is achieved by applying multiresolution-based grid adaptation usi
 ng ERA5 meteorological reanalysis data. We additionally discuss the implem
 entation of this method into the Lagrangian model for Massive-Parallel Tra
 jectory Calculation (MPTRAC).\n\nDomain: Climate, Weather, and Earth Scien
 ces, Computational Methods and Applied Mathematics\n\nSession Chair: Farah
 naz Khosrawi (Forschungszentrum Jülich)\n\n
END:VEVENT
END:VCALENDAR