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公开(公告)号：US20230314655A1
公开(公告)日：2023-10-05
申请号：US18296230
申请日：2023-04-05
Applicant: Sunit TYAGI
Inventor： Sunit TYAGI
CPC classification number: G01W1/06 , F03D9/30 , E02B1/003 , F03B17/061 , F03G7/05 , G01W1/17 , F03D9/00 , G06N7/01 , F05B2220/708 , F05B2240/93 , G01W2201/00 , G01W2203/00 , F03D9/11
Abstract: Surface modification control stations and methods in a globally distributed array for dynamically adjusting the atmospheric, terrestrial and oceanic properties. The control stations modify the humidity, currents, wind flows and heat removal rate of the surface and facilitate cooling and control of large area of global surface temperatures. This global system is made of arrays of multiple sub-systems that monitor climate and act locally on weather with dynamically generated local forcing & perturbations for guiding in a controlled manner aim at long-term modifications. The machineries are part of a large-scale system consisting of an array of many such machines put across the globe at locations called the control stations. These are then used in a coordinated manner to modify large area weather and the global climate as desired. The energy system installed at a control stations, with multiple machines to change the local parameters of the ocean, these stations are powered using renewable energy (RE) sources including Solar, Ocean Currents, Wind, Waves and Batteries to store energy and provide sufficient power and energy as required and available at all hours. This energy is then used to do directed work using special machines, that can be pumps for seawater to move ocean water either amplifying or changing the currents in various locations and at different depths, in addition it will have machineries for changing the vertical depth profile of the ocean of temperature, salinity and currents. Control stations will also directly use devices such as heat pumps to change the temperatures of local water either at surface or at controlled depths, or modify the humidity and salinity to change the atmospheric and oceanic properties as desired. The system will work in a globally coordinated manner applying artificial intelligence and machine learning algorithms to learn from observations to improve the control characteristics and aim to slow down the rise of global surface temperatures. These systems are used to reduce the temperatures of coral reefs, arctic glaciers and south pacific to control the El Nino oscillations.
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12.发明授权公开(公告)号：US11693151B2
公开(公告)日：2023-07-04
申请号：US17476735
申请日：2021-09-16
Inventor： Hyun Min Sung , Kyung On Boo , Young Hwa Byun
IPC: G01W1/10 , G06F30/20 , G01W1/18 , G06F16/587 , G06F16/55 , G06F16/583 , G06Q10/04
CPC classification number: G01W1/10 , G01W1/18 , G01W2201/00 , G06F16/55 , G06F16/583 , G06F16/587 , G06F30/20 , G06F2219/10 , G06Q10/04
Abstract: This application relates to an input data generating apparatus for generating forcing data used as input data for a climate change prediction model. In one aspect, the apparatus includes a memory storing instructions and a processor configured to, by executing the instructions, collect new ground type data from land-use harmonization (LUH) data that is restored through history database of the global environment (HYDE) and provided by the coupled model inter-comparison project (CMIP). The processor may also collect existing ground type data calculated by an existing model in a previous phase of the CMIP, generate aggregated ground type data by data-aggregating the new ground type data and the existing ground type data, with priority to the new ground type data. The processor may further generate the forcing data from the aggregated ground type data by performing a distortion correction on a data distortion that occurs during the data aggregation.
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公开(公告)号：US12078773B2
公开(公告)日：2024-09-03
申请号：US17082511
申请日：2020-10-28
Applicant: Jacques Jacob Ohayon
Inventor： Jacques Jacob Ohayon
IPC: G01W1/02 , A61B5/00 , F24F11/30 , F24F11/50 , F24F130/10
CPC classification number: G01W1/02 , A61B5/7465 , F24F11/30 , F24F11/50 , F24F2130/10 , G01W2201/00
Abstract: This invention addresses the problem of Global Warming, expressed as the environmental condition of unintended and imperceptible levels of Vapor Pressure Deficit, (VPD) in Nursing Homes and Hospitals and Psychiatric Facilities. The invention teaches an art form which addresses Global Warming as expressed by Vapor Pressure deficit and resistance to medication. The invention identifies the ideal conditions for fungal and bacteria growth and in particular a new highly resistant fatal form of Candida Fungus, referred to as Candida auris (C. auris). Existing HVAC technology does not address this problem, since it is novel in that it identifies a unique interaction between Global Warming with the problem of resistances to medication and the neurological causes of Suicide. The invention is also novel and unobvious in that it teaches an art form indicating that certain levels of imperceptible VPD require continued HVAC, A/C dehumidification and temperature reduction even throughout tepid temperatures when such equipment may be turned off. As well as teaches an art form to alert medical staff and administration as to when these conditions are occurring and help plan treatments during periods of favorable ambient indoor and outdoor environmental conditions.
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14.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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Patent Agency Ranking
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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18.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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19.发明申请GLOBAL ENVIRONMENTAL CHANGE FORECAST SYSTEM AND METHOD FOR FORECASTING GLOBAL ENVIRONMENTAL CHANGES 审中-公开全球环境变化预测系统及预测全球环境变化的方法
公开(公告)号：WO2012005532A3
公开(公告)日：2012-04-05
申请号：PCT/KR2011004987
申请日：2011-07-07
Applicant: KOREA INST SCI & TECH , JOH MIN SOO , KWON OH KYOUNG , LIM YOON JIN , KIM SANG WAN , LEE PILL WOO
Inventor： JOH MIN SOO , KWON OH KYOUNG , LIM YOON JIN , KIM SANG WAN , LEE PILL WOO
CPC classification number: G06Q10/06 , G01W1/10 , G01W2201/00 , Y02A90/13
Abstract: The present invention relates to a global environmental change forecast system and a forecast method thereof. One embodiment of the present invention comprises: a client which displays global environment observation data that is to be inputted into a numerical forecast model, and displays a web interface that selects a performance variable of said numerical forecast model and receives a performance work request of said numerical forecast model; and a server which has a grid middleware that allows a web application for expressing said web interface to be carried out and allocates performance work of a numerical weather prediction model to at least one computer system among a plurality of heterogeneous computer systems, according to a performance variable of said numerical weather prediction model and a performance work request for said numerical weather prediction model, and has a manager that receives selected global environment observation data from said web interface and controls such that the said numerical weather prediction model is performed in the computer system, to which said numerical forecast model is allocated, by using said received global environment observation data.
Abstract translation: 本发明涉及全球环境变化预报系统及其预测方法。 本发明的一个实施例包括：显示要输入到数字预测模型的全球环境观测数据的客户端，并且显示选择所述数值预测模型的性能变量并接收所述数字预测模型的演奏工作请求的web界面 数值预测模型; 以及具有网格中间件的服务器，所述网格中间件允许Web应用程序用于表达所述web界面，并且根据性能来将多个异构计算机系统中的至少一个计算机系统的数字天气预测模型的性能工作分配 所述数值天气预报模型的变量和所述数值天气预报模型的演奏工作请求，并且具有从所述web界面接收选定的全球环境观测数据并进行控制的管理者，使得所述数字天气预报模型在计算机系统中执行 ，通过使用所接收的全球环境观测数据来分配所述数值预测模型。
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公开(公告)号：WO2012005532A2
公开(公告)日：2012-01-12
申请号：PCT/KR2011/004987
申请日：2011-07-07
CPC classification number: G06Q10/06 , G01W1/10 , G01W2201/00 , Y02A90/13
Abstract: 본 발명은 지구환경변화 예측시스템 및 그 예측 방법에 관한 것이다. 본 발명의 일 실시예는, 수치예측모델에 입력될 지구환경 관측데이터 및 상기 수치예측모델의 수행 변수를 선택하도록 하고 상기 수치예측모델의 수행 작업 요청을 수신하는 웹 인터페이스를 표시하는 클라이언트; 및 상기 웹 인터페이스를 표출시키는 웹 애플리케이션을 실행하게 하고 상기 수치예보모델의 수행 변수 및 상기 수치예보모델 수행 작업 요청에 따라, 복수의 이종 컴퓨터 시스템들 중 적어도 하나의 컴퓨터 시스템에 수치예보모델의 수행 작업을 할당하는 그리드 미들웨어와, 상기 웹 인터페이스로부터 선택된 지구환경 관측데이터를 수신하고 상기 수신된 지구환경 관측데이터를 이용하여 상기 수치예측모델이 할당된 컴퓨터 시스템에 상기 수치예보모델이 수행되도록 제어하는 매니저를 구비한 서버를 포함할 수 있다.
Abstract translation: 全球环境变化预测系统及其预测方法技术领域本发明涉及全球环境变化预测系统及其预测方法。 本发明的一个实施例中，选择变量来执行对全球环境的观测被输入到数值预测模型数据和数值预测模型以及显示用于接收请求以执行数值预测模型的操作的Web界面的客户机; 和运行的web应用程序的动作来表达的网络接口，并且根据所述执行变量和数字天气预测模型的值进行预测模型的工作请求，值的多个不同类型的计算机系统预测模型的计算机系统中的至少一个 以及管理器，用于接收从网络界面选择的全球环境观测数据，并且通过使用所接收的全球环境观测数据来控制要在被分配了数值预测模型的计算机系统上执行的数值预测模型， Lt;
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