AR108431A1 - Combinación estadística de conjuntos de datos meteorológicos - Google Patents

Combinación estadística de conjuntos de datos meteorológicos

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Publication number
AR108431A1
AR108431A1 ARP170101222A ARP170101222A AR108431A1 AR 108431 A1 AR108431 A1 AR 108431A1 AR P170101222 A ARP170101222 A AR P170101222A AR P170101222 A ARP170101222 A AR P170101222A AR 108431 A1 AR108431 A1 AR 108431A1
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AR
Argentina
Prior art keywords
area averages
data sets
model
data
point data
Prior art date
Application number
ARP170101222A
Other languages
English (en)
Inventor
Stephan Hoyer
Ricardo T Lemos
Original Assignee
Climate Corp
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Publication date
Application filed by Climate Corp filed Critical Climate Corp
Publication of AR108431A1 publication Critical patent/AR108431A1/es

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01WMETEOROLOGY
    • G01W1/00Meteorology
    • G01W1/10Devices for predicting weather conditions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/16Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00Machine learning
    • G06N20/10Machine learning using kernel methods, e.g. support vector machines [SVM]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/004Artificial life, i.e. computing arrangements simulating life
    • G06N3/006Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/12Computing arrangements based on biological models using genetic models
    • G06N3/126Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Computational Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Environmental & Geological Engineering (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Computing Systems (AREA)
  • Operations Research (AREA)
  • Strategic Management (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Atmospheric Sciences (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Ecology (AREA)
  • Environmental Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • Probability & Statistics with Applications (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Development Economics (AREA)
  • Health & Medical Sciences (AREA)

Abstract

Un sistema de computación ejecuta un método de fusión de datos puntuales con promedios de área. El procedimiento de fusión es coherente, en el sentido de que el sistema de computación toma en cuenta lo que representan los promedios de área con respecto a los datos puntuales. El objetivo general es ajustar un modelo que toma en cuenta la información derivada de ambos conjuntos de datos. Los promedios de área proveen una estimación de lo que debería ser la integral de un modelo que representa el comportamiento de la variable ambiental sobre un distrito particular y los valores puntuales indican el valor estimado en ubicaciones particulares. Por lo tanto, la integral del modelo ajustado sobre un distrito de la cuadrícula debería aproximar el valor provisto por los promedios de área, mientras que también aproxima el valor provisto por los datos puntales de las ubicaciones que son provistas por los datos puntuales.
ARP170101222A 2016-05-12 2017-05-09 Combinación estadística de conjuntos de datos meteorológicos AR108431A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US15/153,392 US10267951B2 (en) 2016-05-12 2016-05-12 Statistical blending of weather data sets

Publications (1)

Publication Number Publication Date
AR108431A1 true AR108431A1 (es) 2018-08-22

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Family Applications (1)

Application Number Title Priority Date Filing Date
ARP170101222A AR108431A1 (es) 2016-05-12 2017-05-09 Combinación estadística de conjuntos de datos meteorológicos

Country Status (6)

Country Link
US (3) US10267951B2 (es)
EP (1) EP3455742B1 (es)
AR (1) AR108431A1 (es)
BR (1) BR112018073278A8 (es)
CA (1) CA3023513A1 (es)
WO (1) WO2017196756A1 (es)

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Also Published As

Publication number Publication date
WO2017196756A1 (en) 2017-11-16
BR112018073278A2 (pt) 2019-04-30
BR112018073278A8 (pt) 2023-01-24
US20190243029A1 (en) 2019-08-08
US11022719B2 (en) 2021-06-01
CA3023513A1 (en) 2017-11-16
US20200241171A1 (en) 2020-07-30
EP3455742A4 (en) 2020-03-04
EP3455742A1 (en) 2019-03-20
US10267951B2 (en) 2019-04-23
EP3455742B1 (en) 2023-01-25
US20170329048A1 (en) 2017-11-16
US10634817B2 (en) 2020-04-28

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