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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · Dec 201819922001200920172026
4 results for “evapotranspiration”
Modelling of daily reference evapotranspiration using deep neural network in different climatescs.LG

Study uses DNN to accurately estimate daily ET o in various climates.

problem Precise estimation of reference evapotranspiration (ET o ) for irrigation and water management.
method Investigated artificial neural network (ANN) and deep neural network (DNN) models using six meteorological inputs.
result DNN models, especially P-DNN-SeLU, achieve high accuracy in daily ET o estimation.
evapotranspirationdeep neural networkmachine learningreference evapotranspirationprecipitation
2020-06-02abs ↗pdf ↗
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processesstat.ML

PIML model improves hydrological predictions by blending physics and ML.

problem Hydrological models either lack predictive accuracy or fail to maintain physical consistency.
method Physics Informed Machine Learning (PIML) that integrates physics-based models and ML algorithms.
result PIML model outperforms both physics-based and ML models in predicting streamflow and evapotranspiration.
hydrological modelingmachine learningphysics informedstreamflow predictionevapotranspiration
2021-04-22abs ↗pdf ↗
The FLUXCOM ensemble of global land-atmosphere energy fluxesphysics.ao-ph

Although a key driver of Earth's climate system, global land-atmosphere energy fluxes are poorly constrained. Here we use machine learning to merge energy flux measurements from FLUXNET eddy covariance towers with remote sensing and meteorological data to estimate net radiation, latent and sensible heat and their uncer…

2018-12-11abs ↗pdf ↗