Invention Grant
- Patent Title: Weather/climate model forecast bias explainability
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Application No.: US17653744Application Date: 2022-03-07
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Publication No.: US12032117B2Publication Date: 2024-07-09
- Inventor: Etienne Eben Vos , Zubeida Patel , Thabang Mathonsi , Sibusisiwe Audrey Makhanya
- Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agent Douglas M. Crockatt
- Main IPC: G01W1/10
- IPC: G01W1/10 ; G06N3/045 ; G06N3/049 ; G06N3/084

Abstract:
A method, computer program, and computer system are provided for identifying bias in weather models. Data corresponding to one or more forecasts associated with a weather model is received. One or more forecast errors in the received data are identified. A forecast bias is determined from among the one or more forecast errors based on determining a presence of consistent errors in a plurality of regions associated with the received data over a period of time. The weather model is updated based on minimizing the determined forecast bias.
Public/Granted literature
- US20230280495A1 WEATHER/CLIMATE MODEL FORECAST BIAS EXPLAINABILITY Public/Granted day:2023-09-07
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