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X-WR-CALDESC:Geoinformatics Team (Talk by Alba VilanovaCortezon\, Barcelona
  Supercomputing Center).
X-WR-CALNAME:Geoinformatics Team (Talk by Alba VilanovaCortezon\, Barcelona
  Supercomputing Center).
X-WR-TIMEZONE:Asia/Tokyo
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DTSTART:19700101T000000
TZOFFSETFROM:+0900
TZOFFSETTO:+0900
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UID:997590@techplay.jp
SUMMARY:Geoinformatics Team (Talk by Alba VilanovaCortezon\, Barcelona Supe
 rcomputing Center).
DTSTART;TZID=Asia/Tokyo:20260630T153000
DTEND;TZID=Asia/Tokyo:20260630T163000
DTSTAMP:20260627T033219Z
CREATED:20260626T140123Z
DESCRIPTION:イベント詳細はこちら\nhttps://techplay.jp/event/99759
 0?utm_medium=referral&utm_source=ics&utm_campaign=ics\n\n【Team】Geoinf
 ormatics Team\n\n【Date】2026/June/30(Tuesday) 15:30-16:30(JST)\n【Spe
 aker】Alba VilanovaCortezon\, Barcelona Supercomputing Center\n\nTitle: 
 Providentia: an evaluation software package for the atmospheric modelling
  community\n\nAbstract:\nProvidentia is an evaluation software package de
 signed for the in-depth analysis of in-situ surface observations and colo
 cated model output\, tailored specifically for the atmospheric modelling 
 community.\n\nReproducibility is a key concern when performing any type o
 f model evaluation. A variety of factors can affect reproducibility\, inc
 luding how observations are processed and filtered\, and how statistics a
 re calculated. Even two scientists within the same institution may obtain
  markedly different results depending on their methodologies. Providentia
  addresses this challenge by leveraging harmonised observational datasets
 \, such as GHOST and ACTRIS\, which are widely used by the community\, an
 d by allowing precise customisation of fully documented statistics. Criti
 cally\, by using the same configuration file\, two users can be confident
  that their evaluations are exactly the same.\n\nProvidentia offers a var
 iety of use modes\, these include an interactive dashboard for quick-look
  visualisations\; a report mode designed for more exhaustive evaluations\
 , generating PDF reports\; a library mode that enables Providentia's back
 end functions to be used in scripts or Jupyter notebooks\, for example fo
 r reading\, filtering\, or plotting data\; a download mode that automatic
 ally retrieves and formats observational (e.g. GHOST and ACTRIS) and mode
 l datasets (e.g. CAMS model forecasts and reanalyses)\; and an interpolat
 ion mode that spatially colocates model output with observational station
 s. 
LOCATION:オンライン
URL:https://techplay.jp/event/997590?utm_medium=referral&utm_source=ics&utm
 _campaign=ics
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