SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking

Nov-14-2025, 00:38:56 GMT–Neural Information Processing Systems

Subseasonal forecasting of the weather two to six weeks in advance is critical for resource allocation and advance disaster notice but poses many challenges for the forecasting community.

artificial intelligence, data mining, machine learning, (17 more...)

Neural Information Processing Systems

Nov-14-2025, 00:38:56 GMT

Conferences PDF

Add feedback

Country:
- Africa > Ethiopia
  - Addis Ababa > Addis Ababa (0.04)
- Asia
  - China (0.04)
  - East Asia (0.04)
  - Japan > Honshū
    - Tōhoku > Fukushima Prefecture > Fukushima (0.04)
- Europe
  - Albania > Durrës County
    - Durrës (0.04)
  - United Kingdom (0.04)
- North America
  - Canada > Ontario
    - Toronto (0.14)
  - United States
    - Georgia > Fulton County
      - Atlanta (0.04)
    - Louisiana > Orleans Parish
      - New Orleans (0.04)
    - Maine (0.04)
    - Massachusetts > Middlesex County
      - Cambridge (0.04)
    - Oklahoma > Cleveland County
      - Norman (0.04)
    - Virginia (0.04)
- South America > Brazil
  - Rio de Janeiro > Rio de Janeiro (0.04)

Industry:
- Government > Regional Government > North America Government > United States Government (1.00)

Technology:
- Information Technology
  - Artificial Intelligence > Machine Learning
    - Neural Networks > Deep Learning (1.00)
    - Statistical Learning (1.00)
  - Data Science > Data Mining (1.00)

Duplicate Docs Excel Report

Title
SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
18ef499ee57c4822e1e3ea9b9948af18-Paper-Datasets_and_Benchmarks.pdf
18ef499ee57c4822e1e3ea9b9948af18-Supplemental-Datasets_and_Benchmarks.pdf

Similar Docs Excel Report more

Title	Similarity	Source
None found