Cover Image

Evaluating Deep Learning Approaches for Predictions in Unmonitored Basins with Continental-scale Stream Temperature Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Willard, Jared D., Ciulla, Fabio, Weierbach, Helen, Kumar, Vipin, Varadharajan, Charuleka
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Atmospheric and Oceanic Physics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
by: Willard, Jared D., et al.
Published: (2023)

Deep Learning Based Monthly Temperature Prediction for Jilin Province: A Multi Model Comparative Study 2000 2026
by: Deng, Xingyue, et al.
Published: (2026)

Task Aware Modulation Using Representation Learning for Upsaling of Terrestrial Carbon Fluxes
by: Rozanov, Aleksei, et al.
Published: (2026)

A Hierarchical Deep Learning Model for Predicting Pedestrian-Level Urban Winds
by: Snaiki, Reda, et al.
Published: (2025)

Towards NoahMP-AI: Enhancing Land Surface Model Prediction with Deep Learning
by: Mbarak, Mahmoud, et al.
Published: (2025)

A PMP-inspired Evaluation Framework for Assessing Deep-Learning Earth System Models
by: Pallotta, Giuliana, et al.
Published: (2026)

CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning
by: Rozanov, Aleksei, et al.
Published: (2026)

Structured dataset of reported cloud seeding activities in the United States (2000-2025) using an LLM
by: Donohue, Jared Joseph, et al.
Published: (2025)

Terrain-aware Deep Learning for Wind Energy Applications: From Kilometer-scale Forecasts to Fine Wind Fields
by: Lin, Chensen, et al.
Published: (2025)

Polar Jet Stream Fluctuations in an Energy Balance Model
by: Perillo, Cord, et al.
Published: (2019)

Evaluating Extreme Precipitation Forecasts: A Threshold-Weighted, Spatial Verification Approach for Comparing an AI Weather Prediction Model Against a High-Resolution NWP Model
by: Loveday, Nicholas, et al.
Published: (2025)

Predictability Limit of the 2021 Pacific Northwest Heatwave from Deep-Learning Sensitivity Analysis
by: Vonich, P. Trent, et al.
Published: (2024)

A Deep Learning Model of Lightning Stroke Density
by: Jones II, Randall, et al.
Published: (2025)

Evaluating the Predictability of Selected Weather Extremes with Aurora, an AI Weather Forecast Model
by: Huang, Qin, et al.
Published: (2026)

Error Growth Dynamic and Predictability of Tropical Cyclone in Machine Learning Weather Prediction Model
by: Pu, Jingchen, et al.
Published: (2026)

Zeeman: A Deep Learning Regional Atmospheric Chemistry Transport Model
by: Pang, Mijie, et al.
Published: (2025)

Deep-Learned Observation Operators for Artificial Intelligence Weather Forecasting Models
by: Lieberman, Kelsey, et al.
Published: (2026)

Deep Learning Models for Flood Predictions in South Florida
by: Shi, Jimeng, et al.
Published: (2023)

A Deep Learning Earth System Model for Efficient Simulation of the Observed Climate
by: Cresswell-Clay, Nathaniel, et al.
Published: (2024)

DeepSeasons: a Deep Learning scale-selecting approach to Seasonal Forecasts
by: Navarra, A., et al.
Published: (2025)

The Link between Gulf Stream Precipitation and European Blocking in General Circulation Models and the Role of Horizontal Resolution
by: Strommen, Kristian, et al.
Published: (2024)

Learning Data-driven Surrogate and Correction Models for Satellite Observations in Numerical Weather Prediction
by: Buono, Gian Luca, et al.
Published: (2026)

Physics Guided Machine Learning Methods for Hydrology
by: Khandelwal, Ankush, et al.
Published: (2020)

Vegetation-climate feedbacks across scales
by: Miralles, Diego G., et al.
Published: (2024)

Evidence of Kolmogorov like scalings and multifractality in the rainfall events
by: GhoshDastider, Joya, et al.
Published: (2024)

Reconstructing Pre-Satellite Tropical Cyclogenesis Climatology Using Deep Learning
by: Kieu, Chanh, et al.
Published: (2025)

Machine Learning (ML)-Physics Fusion Model Outperforms Both Physics-Only and ML-Only Models in Typhoon Predictions
by: Niu, Zeyi, et al.
Published: (2025)

Reanalysis-based Global Radiative Response to Sea Surface Temperature Patterns: Evaluating the Ai2 Climate Emulator
by: Van Loon, Senne, et al.
Published: (2025)

Evaluating the Prediction of Wind Power Ramping Events in the Belgian Offshore Zone
by: Meng, Ruoke, et al.
Published: (2025)

Multi-Year-to-Decadal Temperature Prediction using a Machine Learning Model-Analog Framework
by: Fernandez, M. A., et al.
Published: (2025)

Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
by: Behrens, Gunnar, et al.
Published: (2024)

Improving Typhoon Predictions by Integrating Data-Driven Machine Learning Models with Physics Models Based on the Spectral Nudging and Data Assimilation
by: Niu, Zeyi, et al.
Published: (2024)

Enhancing Deterministic Freezing Level Predictions in the Northern Sierra Nevada Through Deep Neural Networks
by: Gorooh, Vesta Afzali, et al.
Published: (2025)

Gulf Stream drives Kuroshio behind the recent abnormal ocean warming
by: Yamagami, Yoko, et al.
Published: (2025)

Remote Influences of Land Surface Temperature and their Implications for Sea Surface Temperature Patterns
by: Zhang, Bosong, et al.
Published: (2026)

Climate Downscaling of Tropical Cyclone Intensity using Deep Learning
by: Luong, Minh-Khanh, et al.
Published: (2025)

An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing
by: Gultekin, Cem, et al.
Published: (2024)

Identifying Lightning Processes in ERA5 Soundings with Deep Learning
by: Ehrensperger, Gregor, et al.
Published: (2022)

Predictability of Storms in an Idealized Climate Revealed by Machine Learning
by: Yao, Wuqiushi, et al.
Published: (2025)

Quantifying the Effect of a Parallax Correcting Algorithm for Passive Microwave Satellite Precipitation Retrievals across the Continental United States
by: Monsalve, Andres F., et al.
Published: (2025)