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researcher

K. Lawson

12 papers hereh-index 232.4k citations53 works total

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

author position
  • middle author9
  • last author1

Across the 10 of 12 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • physics.geo-ph3
  • physics.flu-dyn1
  • q-fin.GN1
same name
  • K. Lawson — 50 papers, h 15
  • K. Lawson — 14 papers, h 9
  • K. Lawson — 4 papers, h 35
  • K. Lawson — 3 papers, h 14
  • K. Lawson — 1 paper, h 5
  • K. Lawson — 1 paper, h 27

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

activity
20202026
most citedDifferentiable modeling to unify machine learning and physical models and advance Geosciences

466 citations · 1.6k across the 11 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

physics.geo-ph2025

Diffusion-Based Probabilistic Modeling for Hourly Streamflow Prediction and Assimilation

Wencong Yang, Haoyu Ji, Leo Lonzarich +2

Hourly predictions are critical for issuing flood warnings as the flood peaks on the hourly scale can be distinctly higher than the corresponding daily ones. Currently a popular ho…

physics.geo-ph2025

Distinct hydrologic response patterns and trends worldwide revealed by physics-embedded learning

Haoyu Ji, Yalan Song, Tadd Bindas +9

To track rapid changes within our water sector, Global Water Models (GWMs) need to realistically represent hydrologic systems' response patterns - such as baseflow fraction - but a…

physics.flu-dyn2025

Update hydrological states or meteorological forcings? Comparing data assimilation methods for differentiable hydrologic models

Amirmoez Jamaat, Yalan Song, Farshid Rahmani +3

Data assimilation (DA) enables hydrologic models to update their internal states using near-real-time observations for more accurate forecasts. With deep neural networks like long…

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