公开(公告)号：ZA202106854B

公开(公告)日：2022-08-31

申请号：ZA202106854

申请日：2021-09-17

Applicant: IBM

Inventor： VOS ETIENNE EBEN ,  WATSON CAMPBELL D ,  JUNIOR ALBERTO COSTA NOGUEIRA ,  ZADROZNY BIANCA ,  WELDEMARIAM KOMMINIST

Abstract: A method, a computer system, and a computer program product for regionalized climate models is provided. Embodiments of the present invention may include selecting a class of a reduced order model. Embodiments of the present invention may include building a neural network in a reduced order space. Embodiments of the present invention may include recovering full state dynamics. Embodiments of the present invention may include training a model. Embodiments of the present invention may include providing an output.

公开(公告)号：ZA202106185B

公开(公告)日：2024-11-27

申请号：ZA202106185

申请日：2021-08-26

Applicant: IBM

Inventor： WATSON CAMPBELL D ,  VOS ETIENNE EBEN ,  WELDEMARIAM KOMMINIST

Abstract: Train a machine learning model, using an image-based knowledge graph of tropical cyclone data, for implementing a surface field modeling architecture that produces images of at least surface wind fields and surface rainfall fields from images of at least tropical cyclone tracks and pressure intensities. Generate model images of a modeled surface wind field and a modeled surface rainfall field by providing images of at least a user-generated tropical cyclone track and pressure intensity to the trained machine learning model.

公开(公告)号：AU2021251818A1

公开(公告)日：2022-09-15

申请号：AU2021251818

申请日：2021-03-26

Applicant: IBM

Inventor： WATSON CAMPBELL D ,  TEWARI MUKUL ,  DOW ELI MICHAEL ,  KLEIN LEVENTE

IPC: G06F17/18

Abstract: Road condition prediction for potentially hazardous road segments is described. For roadways that may contain accumulated frozen precipitation, a road segment for road condition prediction is selected based on weather conditions. Various models including a solar radiation budget model, a permanent structures model, a dynamic structures model, and a road condition model are generated for the selected road segment and account for shading effects on the road segment caused by objects near the road segment. A road condition prediction for hazardous conditions on the road segment is determined based on the road condition model and provided to a driver to alert the driver of any potentially hazardous conditions.