4.5 Article

Applying machine learning methods to detect convection using Geostationary Operational Environmental Satellite-16 (GOES-16) advanced baseline imager (ABI) data

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Review Computer Science, Artificial Intelligence

Cloud detection methodologies: variants and development-a review

Seema Mahajan et al.

COMPLEX & INTELLIGENT SYSTEMS (2020)

Article Meteorology & Atmospheric Sciences

Leveraging Modern Artificial Intelligence for Remote Sensing and NWP: Benefits and Challenges

Sid-Ahmed Boukabara et al.

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2019)

Article Meteorology & Atmospheric Sciences

High Temporal Rainfall Estimations from Himawari-8 Multiband Observations Using the Random-Forest Machine-Learning Method

Hitoshi Hirose et al.

JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN (2019)

Article Geosciences, Multidisciplinary

Could Machine Learning Break the Convection Parameterization Deadlock?

P. Gentine et al.

GEOPHYSICAL RESEARCH LETTERS (2018)

Article Multidisciplinary Sciences

Deep learning to represent subgrid processes in climate models

Stephan Rasp et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2018)

Article Meteorology & Atmospheric Sciences

Using Machine Learning to Parameterize Moist Convection: Potential for Modeling of Climate, Climate Change, and Extreme Events

Paul A. O'Gorman et al.

JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS (2018)

Article Meteorology & Atmospheric Sciences

MULTI-RADAR MULTI-SENSOR (MRMS) QUANTITATIVE PRECIPITATION ESTIMATION Initial Operating Capabilities

Jian Zhang et al.

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY (2016)

Article Meteorology & Atmospheric Sciences

A Probabilistic Multispectral Pattern Recognition Method for Detection of Overshooting Cloud Tops Using Passive Satellite Imager Observations

Kristopher M. Bedka et al.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2016)

Article Meteorology & Atmospheric Sciences

A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh

Stanley G. Benjamin et al.

MONTHLY WEATHER REVIEW (2016)

Article Meteorology & Atmospheric Sciences

A real-time automated convective and stratiform precipitation segregation algorithm in native radar coordinates

Youcun Qi et al.

QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY (2013)

Article Meteorology & Atmospheric Sciences

Validation of Satellite-Based Objective Overshooting Cloud-Top Detection Methods Using CloudSat Cloud Profiling Radar Observations

Kristopher M. Bedka et al.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2012)

Article Meteorology & Atmospheric Sciences

Nowcasting Convective Storm Initiation Using Satellite-Based Box-Averaged Cloud-Top Cooling and Cloud-Type Trends

Justin M. Sieglaff et al.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2011)

Article Meteorology & Atmospheric Sciences

Objective Satellite-Based Detection of Overshooting Tops Using Infrared Window Channel Brightness Temperature Gradients

Kristopher Bedka et al.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2010)

Article Meteorology & Atmospheric Sciences

Cloud-Top Properties of Growing Cumulus prior to Convective Initiation as Measured by Meteosat Second Generation. Part I: Infrared Fields

John R. Mecikalski et al.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2010)

Article Meteorology & Atmospheric Sciences

Comparison of GOES Cloud Classification Algorithms Employing Explicit and Implicit Physics

Richard L. Bankert et al.

JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY (2009)

Article Meteorology & Atmospheric Sciences

Visualizing Multiple Measures of Forecast Quality

Paul J. Roebber

WEATHER AND FORECASTING (2009)

Article Meteorology & Atmospheric Sciences

A quantitative analysis of the enhanced-V feature in relation to severe weather

Jason C. Brunner et al.

WEATHER AND FORECASTING (2007)