Published November 25, 2024
| Version 1.0
Dataset
Open
RADIT: A Machine Learning-Reconstructed Dataset of River Discharge, Temperature, and Heat Flux into the Arctic Ocean
Authors/Creators
- 1. School of Geospatial Engineering and Science, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519082, China
- 2. Key Laboratory of Comprehensive Observation of Polar Environment (Sun Yat-sen University), Ministry of Education, Zhuhai, 519082, China
Description
The Reconstructed Arctic-draining river DIscharge and Temperature (RADIT) dataset provides daily records of river discharge, temperature, and heat flux for 32 major Arctic-draining rivers from 1950 to 2023. Using machine learning methods and ERA5-Land reanalysis data, we reconstructed these key hydrological variables with high accuracy (NSE > 0.9).
Files
Anabar__Saskylakh.csv
Files
(55.1 MB)
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Additional details
Funding
- National Natural Science Foundation of China
- N/A 42376241
Software
- Repository URL
- https://github.com/zhwang24/RADIT-Reconstructed-Arctic-River-Data
- Programming language
- Python , JavaScript
- Development Status
- Active