{
  "id": 18252116,
  "title": "From hydrological laws to catchment models: A process-based model matches deep-learning accuracy on three continents",
  "url": "https://urgent.news/2026/11/04/from-hydrological-laws-to-catchment-models-a-process-based-model",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-04T11:45:47.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.06382v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Dooge asked whether hydrology has laws at the catchment scale. We ask whether a low-dimensional system built under physical laws can match the accuracy of neural networks that outperform process-based models on the same inputs. Three laws constrain a lumped catchment model. Conservation makes it a flux-connected storage network, dissipation fixes the sign of every flux and aggregation determines…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}