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11.发明公开公开(公告)号：US20240094435A1
公开(公告)日：2024-03-21
申请号：US18516369
申请日：2023-11-21
Applicant: ClimateAI, Inc.
Inventor： Matias Castillo Tocornal , Brent Donald Lunghino , Maximilian Cody Evans , Carlos Felipe Gaitan Ospina , Aranildo Rodrigues Lima
IPC: G01W1/10 , G06F18/21 , G06F18/214 , G06F30/27 , G06N3/044 , G06N3/063 , G06V10/764 , G06V10/80 , G06V10/82
CPC classification number: G01W1/10 , G06F18/214 , G06F18/217 , G06F30/27 , G06N3/044 , G06N3/063 , G06V10/764 , G06V10/80 , G06V10/82 , G01W2201/00
Abstract: Methods and systems for generating a multi-model ensemble of global climate simulation data from a plurality of pre-existing global climate simulation model (GCM) datasets, are disclosed. The methods and systems perform steps of computing a GCM dataset validation measure based on at least one sample statistic for at least one climate variable from the pre-existing GCM dataset; selecting a validated subset of the plurality of pre-existing GCM datasets; selecting a subset of GCM datasets; generating candidate ensembles of GCM datasets; computing an ensemble forecast skill score for each candidate ensemble based on a model analog; generating the multi-model ensemble of GCM datasets by selecting a candidate ensemble with a best ensemble forecast skill score; and training the NN-based climate forecasting model using the multi-model ensemble of GCM datasets. Embodiments of the present invention enable accurate climate forecasting without the need to run new dynamical global climate simulations on supercomputers.
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公开(公告)号：US20240012175A1
公开(公告)日：2024-01-11
申请号：US18348499
申请日：2023-07-07
Inventor： Hae Min KIM , Kyu Rang KIM , Ju Young SHIN
CPC classification number: G01W1/10 , G06F17/18 , G06Q50/26 , G01W2201/00
Abstract: Provided are an apparatus and method for calculating a sensible temperature in consideration of outdoor ground heating and a heatwave warning apparatus and method based on a sensible temperature in consideration of outdoor ground heating. The method of calculating a sensible temperature in consideration of outdoor ground heating includes classifying data which includes a globe temperature, an atmospheric temperature, a relative humidity, and a ground surface temperature and is observed by an automated synoptic observing system (ASOS) for a certain period of time, as precipitation data and non-precipitation data according to whether there is precipitation, clustering the non-precipitation data into K clusters, and deriving K+1 sensible temperature calculation formulae by performing regression analysis on the K clusters and the precipitation data.
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公开(公告)号：US11835677B2
公开(公告)日：2023-12-05
申请号：US17120314
申请日：2020-12-14
Applicant: ClimateAI, Inc.
Inventor： Matias Castillo Tocornal , Brent Donald Lunghino , Maximilian Cody Evans , Carlos Felipe Gaitan Ospina , Aranildo Rodrigues Lima
IPC: G01W1/10 , G06N3/063 , G06F30/27 , G06F18/214 , G06F18/21 , G06N3/044 , G06V10/764 , G06V10/80 , G06V10/82
CPC classification number: G01W1/10 , G06F18/214 , G06F18/217 , G06F30/27 , G06N3/044 , G06N3/063 , G06V10/764 , G06V10/80 , G06V10/82 , G01W2201/00
Abstract: Methods and systems for generating a multi-model ensemble of global climate simulation data from a plurality of pre-existing global climate simulation model (GCM) datasets, are disclosed. The methods and systems perform steps of computing a GCM dataset validation measure based on at least one sample statistic for at least one climate variable from the pre-existing GCM dataset; selecting a validated subset of the plurality of pre-existing GCM datasets; selecting a subset of GCM datasets; generating one or more candidate ensembles of GCM datasets; computing an ensemble forecast skill score for each candidate ensemble of GCM datasets; generating the multi-model ensemble of GCM datasets by selecting a candidate ensemble of GCM datasets with a best ensemble forecast skill score; and training the NN-based climate forecasting model using the multi-model ensemble of GCM datasets. Embodiments of the present invention enable accurate climate forecasting without the need to run new dynamical global climate simulations on supercomputers.
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公开(公告)号：US11828904B2
公开(公告)日：2023-11-28
申请号：US16658684
申请日：2019-10-21
Applicant: Deere & Company
Inventor： Lance R. Sherlock , Piya Salgia
IPC: G01W1/10 , G01W1/02 , H04L67/12 , G06Q50/08 , G01W1/00 , G05B23/00 , G05B17/00 , B64C39/02 , G05D1/02 , G06Q10/0631 , E02F9/20 , B64U101/35 , E02F9/26
CPC classification number: G01W1/10 , B64C39/024 , E02F9/205 , G01W1/02 , G05D1/0219 , G06Q10/06313 , G06Q50/08 , H04L67/12 , B64U2101/35 , E02F9/2054 , E02F9/261 , G01W1/00 , G01W2201/00 , G01W2203/00 , G05B17/00 , G05B23/00 , G05D1/0212 , G05D2201/02 , G05D2201/0201 , G05D2201/0202
Abstract: A worksite control system includes a communication system configured to receive weather data corresponding to a worksite, a weather model generation logic configured to generate a weather model based on the weather data, a worksite action identification logic configured to identify a worksite action based on the weather model, and a control signal generator configured to generate a machine control signal that controls a machine associated with the worksite based on the identified worksite action.
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15.发明授权公开(公告)号：US11796695B1
公开(公告)日：2023-10-24
申请号：US18122924
申请日：2023-03-17
Inventor： Tong Jiang , Qigen Lin , Guojie Wang , Yanjun Wang , Buda Su , Jianqing Zhai , Jinlong Huang
CPC classification number: G01V1/008 , G01W1/14 , G01V2210/612 , G01W2201/00
Abstract: An evaluation method for evaluating a precipitation-induced landslide disaster loss under climate change is provided. The evaluation method belongs to the technical field of geological disaster prevention and treatment. The evaluation method uses a physical process based model, in considering of spatial heterogeneity of land-surface features of grids in the area, to obtain precipitation thresholds corresponding to the respective grids in the area having the spatial heterogeneity. Historical data and climate model data are taken in combination to select suitable climate models, and the model then is used to simulate landslide prone zones and possible influence zones caused by landslides. An influence zones simulated by the evaluation method can better match disaster loss grid data, which can solve the problem that climate change scenarios and influence of landslide are difficult to be evaluated in landslide disaster evaluation.
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Patent Agency Ranking
16.发明公开公开(公告)号：US20240345289A1
公开(公告)日：2024-10-17
申请号：US18631075
申请日：2024-04-10
Applicant: CHINA UNIVERSITY OF GEOSCIENCES (WUHAN)
Inventor： Xihui GU , Yansong GUAN , Lunche WANG , Xiang ZHANG , Yanhui ZHENG , Jie GONG , Dongdong KONG
IPC: G01W1/10 , G01W1/14 , G06F18/2321 , G06N3/02
CPC classification number: G01W1/10 , G01W1/14 , G06F18/2321 , G06N3/02 , G01W2201/00
Abstract: An ocean-onto-land drought (OTLD) identification and propagation mechanism analysis method includes: identifying a new drought event in a global range with data of a historical data and data of a future test; extracting a 3D space-time cube (STC) of the drought event, quantifying spatiotemporal characteristics of the global OTLD, and searching a landfalling hotspot; projecting an OTLD in a future period in combination with different tests, and detecting an anthropogenic signal in an index change of the OTLD in the historical period and in the future period; and analyzing, with moisture transport during the OTLD as a reference, an occurrence mechanism of the OTLD in the historical period and an intensification mechanism of the OTLD in the future period; and clarifying a primary physical factor during the OTLD, and assessing a synthetic risk of a OTLD-affected region with a machine learning method.
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17.发明公开公开(公告)号：US20240272328A1
公开(公告)日：2024-08-15
申请号：US18645973
申请日：2024-04-25
Applicant: Mobile Physics Ltd.
Inventor： Erez WEINROTH
CPC classification number: G01W1/10 , A01G15/00 , G01W2201/00
Abstract: A method and a system for monitoring the spraying of sunlight reflecting particles into the stratosphere to address global warming using smartphones are provided herein. The method may include the following steps: spraying, using a plurality of airplanes flying through a plurality of different geographical locations, sunlight reflecting particles, in accordance with a spraying scheme; sampling using sensors of a plurality of smartphones located in a plurality of different geographical locations, a plurality of atmospheric measurements; training, using a computer processor, and based on the plurality of atmospheric measurements, a model configured to predict a trend in a change of temperature in consequence of the spraying of the sunlight reflecting particles; and repeatedly updating the spraying scheme based on the model.
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公开(公告)号：US11940289B2
公开(公告)日：2024-03-26
申请号：US16994887
申请日：2020-08-17
Applicant: Rivian IP Holdings, LLC
Inventor： Jason Quint
CPC classification number: G01C21/3694 , G01C21/362 , G01W1/02 , G01W1/10 , G01C21/3691 , G01W1/00 , G01W2201/00 , G01W2203/00
Abstract: Disclosed embodiments include systems, vehicles, and methods for presenting weather conditions a traveler may encounter while traveling a route. In an illustrative embodiment, a computing device executes instructions to present an integrated route map. An input is received indicative of a trip to be made to a destination by a traveler. A store of route data for an area encompassing the trip is accessed. At least one route is identified. A weather forecasting service is accessed from which expected weather conditions are accessible for the area through the projected time. The expected weather conditions are identified for the location at the projected time. An integrated route map is displayed showing the at least one route and the expected weather conditions for the location at the projected time.
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公开(公告)号：US20240046639A1
公开(公告)日：2024-02-08
申请号：US18257621
申请日：2021-12-17
Inventor： Renaud Hostache , Marco Chini , Patrick Matgen , Marina Zingaro
CPC classification number: G06V20/13 , G01W1/00 , G01W2201/00
Abstract: A method for quantifying the extent and recurrence of a predetermined natural event, such as a flooding event, in a geographical area, in particular in spite of the absence of reliable data from sensors on the ground where the natural event develops. The method relies on remote sensing data, such as satellite imagery, and data processing, and reaps the benefits of computational models based on accurate remote sensing of the area under consideration.
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公开(公告)号：US11846750B2
公开(公告)日：2023-12-19
申请号：US18118621
申请日：2023-03-07
Applicant: The Tomorrow Companies Inc.
Inventor： Shimon Elkabetz , Jacob Ribnik , Itai Zlotnik , Rei Goffer , Nir Nossenson , Daniel Alexander Rothenberg , Karl Ginter
CPC classification number: G01W1/10 , G01W1/02 , G08G5/0065 , G08G5/0091 , G08G5/025 , G01W1/00 , G01W2001/003 , G01W2001/006 , G01W2201/00 , G01W2203/00 , G06N5/00 , G06N20/00 , H04W84/005 , Y02A90/10
Abstract: Improved mechanisms for collecting information from a diverse suite of sensors and systems, calculating the current precipitation, atmospheric water vapor, atmospheric liquid water content, or precipitable water and other atmospheric-based phenomena, for example presence and intensity of fog, based upon these sensor readings, predicting future precipitation and atmospheric-based phenomena, and estimating effects of the atmospheric-based phenomena on visibility, for example by calculating runway visible range (RVR) estimates and forecasts based on the atmospheric-based phenomena.
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