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DTSTAMP:20260421T090513Z
LOCATION:Plenary Room (Bldg. 6 - 001)
DTSTART;TZID=Europe/Stockholm:20260629T192700
DTEND;TZID=Europe/Stockholm:20260629T192800
UID:submissions.pasc-conference.org_PASC26_sess124_pos124@linklings.com
SUMMARY:Coupling km-Scale Earth System Model to Hierarchical Output for An
 alysis-Ready Dataset
DESCRIPTION:Nils-Arne Dreier (DKRZ) and Siddhant Tibrewal (Max Planck Inst
 itute for Meteorology)\n\nKilometer-scale Earth System Model (ESM) simulat
 ions produce petabyte-scale outputs that are difficult to access, analyse,
  and share due to their size, heterogeneity, and the overhead of ad-hoc wo
 rkflows.\nWe introduce **Hiopy** (Hierarchical Output in Python), a lightw
 eight in-situ output component, that is coupled to the ICON model with YAC
  (Yet Another Coupler) and writes multi-resolution, self-describing datase
 ts directly to the cloud in Zarr format.\nHiopy computes hierarchical temp
 oral and spatial aggregates on-the-fly, aligning model domain decompositio
 n with Zarr chunking to minimise communication, balance workload across pr
 ocesses, and preserve simulation throughput.\nThe framework also streamlin
 es metadata handling, eliminates redundant buffers, and streams data strai
 ght to its final storage location.\nHiopy supports native ICON grids, regu
 lar latitude-longitude grids, and HEALPix, and has been validated by gener
 ating publicly accessible, analysis-ready datasets from several kilometre-
 scale ESM projects.\nThis work demonstrates a practical, scalable addition
  to the high-resolution climate-modelling software stack, enabling seamles
 s, cost-effective access from coarse to native resolution without post-pro
 cessing bottlenecks.\n\n
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