Work

Pre-registration: Snow-gauge undercatch, the within-catchment sensitivity of streamflow to snowfall fraction, and its inheritance by deep-learning streamflow models (p305 A′, v1)

Year: 2026

Type: article

Abstract: How much of the observed within-catchment sensitivity of runoff ratio to snowfall fraction survives a physically based snow-undercatch correction? And does training deep-learning models on uncorrected gauge-based precipitation change the streamflow response they project for +2 °C warming? Deposited before any undercatch-corrected quantity, blocked-CV model run on observed flow, or warming counterfactual on such models was computed; results already seen are disclosed in §0.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.24033841

Authors: Asghar, Zeeshan, Shah, Muhammad Faarid, Aziz, Farjad

Institution: Ghulam Ishaq Khan Institute of Engineering Sciences and Technology

Language: English

Topic: Hydrology and Watershed Management Studies

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W7225448689

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Related to: 10