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researcher

S. Park

1 paper here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • physics.ao-ph1
same name
  • S. Park — 80 papers, h 93
  • S. Park — 70 papers, h 25
  • S. Park — 43 papers, h 31
  • S. Park — 41 papers, h 40
  • S. Park — 14 papers, h 13
  • S. Park — 14 papers, h 24

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedHigh-resolution European daily soil moisture derived with machine learning (2003-2020)

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

physics.ao-ph2022★ 3 cited

High-resolution European daily soil moisture derived with machine learning (2003-2020)

Sungmin O, Rene Orth, Ulrich Weber +1

Machine learning (ML) has emerged as a novel tool for generating large-scale land surface data in recent years. ML can learn the relationship between input and target, e.g. meteoro…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.