[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Kramer et al., 2012 - Google Patents

Measuring the impact of observations on the predictability of the Kuroshio Extension in a shallow-water model

Kramer et al., 2012

View HTML
Document ID
17008843123557408576
Author
Kramer W
Dijkstra H
Pierini S
Van Leeuwen P
Publication year
Publication venue
Journal of Physical Oceanography

External Links

Snippet

Measuring the Impact of Observations on the Predictability of the Kuroshio Extension in a Shallow-Water Model in: Journal of Physical Oceanography Volume 42 Issue 1 (2012) Jump to Content Logo Logo Logo Logo Logo Logo JOURNALS Artificial Intelligence for the Earth …
Continue reading at journals.ametsoc.org (HTML) (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/10—Devices for predicting weather conditions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/08—Adaptations of balloons, missiles, or aircraft for meteorological purposes; Radiosondes
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover, wind speed
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/95—Radar or analogous systems specially adapted for specific applications for meteorological use
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00—Subject matter not provided for in other groups of this subclass
    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

Similar Documents

Publication Publication Date Title
Kramer et al. Measuring the impact of observations on the predictability of the Kuroshio Extension in a shallow-water model
Casas‐Prat et al. Projected future wave climate in the NW Mediterranean Sea
Li et al. A three-dimensional variational data assimilation scheme for the regional ocean modeling system
Raeder et al. DART/CAM: An ensemble data assimilation system for CESM atmospheric models
Etherton et al. Resilience of hybrid ensemble/3DVAR analysis schemes to model error and ensemble covariance error
Naud et al. The relationship between boundary layer stability and cloud cover in the post-cold-frontal region
Cummings et al. Ocean data impacts in global HYCOM
Sobash et al. The impact of covariance localization for radar data on EnKF analyses of a developing MCS: Observing system simulation experiments
Storto et al. Estimation and impact of nonuniform horizontal correlation length scales for global ocean physical analyses
Kober et al. Physically based stochastic perturbations (PSP) in the boundary layer to represent uncertainty in convective initiation
Kotsuki et al. Assimilating the global satellite mapping of precipitation data with the Nonhydrostatic Icosahedral Atmospheric Model (NICAM)
Sellars et al. Genesis, pathways, and terminations of intense global water vapor transport in association with large‐scale climate patterns
Bricheno et al. Effect of high-resolution meteorological forcing on nearshore wave and current model performance
Kunii et al. Estimating the impact of real observations in regional numerical weather prediction using an ensemble Kalman filter
Beyramzade et al. Skill assessment of SWAN model in the red sea using different wind data
Hagos et al. Evaluation of convection‐permitting model simulations of cloud populations associated with the Madden‐Julian Oscillation using data collected during the AMIE/DYNAMO field campaign
Zhang et al. An inflated ensemble filter for ocean data assimilation with a biased coupled GCM
Ćurić et al. Comparison of modeled and observed accumulated convective precipitation in mountainous and flat land areas
Kleist Assimilation of tropical cyclone advisory minimum sea level pressure in the NCEP Global Data Assimilation System
Karspeck An ensemble approach for the estimation of observational error illustrated for a nominal 1 global ocean model
Amiramjadi et al. Using machine learning to estimate nonorographic gravity wave characteristics at source levels
Kunii Assimilation of tropical cyclone track and wind radius data with an ensemble Kalman filter
Madaus et al. Constraining ensemble forecasts of discrete convective initiation with surface observations
Lai et al. Assimilating in situ and remote sensing observations in a highly variable Estuary–Shelf model
Kuhl et al. Assessing predictability with a local ensemble Kalman filter