M. B. Richman

发表

The Added Value of Surface Data to Radar-Derived Rainfall-Rate Estimation Using an Artificial Neural Network

Tian-You Yu, M. Yeary, B. Root, 2010 .

A Place‐Based Approach to Drought Forecasting in South‐Central Oklahoma

Irenea L. Corporal-Lodangco, R. McPherson, M. B. Richman, 2022, Earth and space science.

Euclidean Distance as a Similarity Metric for Principal Component Analysis

M. Richman, K. Elmore, M. B. Richman, 2001 .

Weekly precipitation cycles? Lack of evidence from United States surface stations

Michael B. Richman, David M. Schultz, Ari Laaksonen, 2007 .

Statistics education in the atmospheric sciences

L. M. Berliner, C. Wikle, D. Wilks, 1999 .

Machine-learning classifiers for imbalanced tornado data

S. Lakshmivarahan, T. Trafalis, I. Adrianto, 2013, Computational Management Science.

Subseasonal to Seasonal Extreme Precipitation Events in the Contiguous United States: Generation of a Database and Climatology

M. B. Richman, J. C. Furtado, Ty Dickinson, 2021 .

Data selection using support vector regression

Theodore B. Trafalis, Michael B. Richman, Lance M. Leslie, 2015, Advances in Atmospheric Sciences.

Potential effects of climate change on aquatic ecosystems of the Great Plains of North America

W. J. Matthews, T. C. Winter, A. Covich, 1997 .

A cautionary note concerning a commonly applied eigenanalysis procedure

M. Richman, M. B. Richman, 1988 .

A data-driven kernel method assimilation technique for geophysical modelling

Theodore B. Trafalis, Michael B. Richman, Lance M. Leslie, 2017, Optim. Methods Softw..

Machine Learning Methods for Data Assimilation

Theodore B. Trafalis, Michael B. Richman, Lance M. Leslie, 2010 .

Missing Data Imputation Through Machine Learning Algorithms

Theodore B. Trafalis, Michael B. Richman, Indra Adrianto, 2009 .

Seasonal tropical cyclone predictions using optimized combinations of ENSO regions: application to the Coral Sea Basin

Michael B. Richman, Lance M. Leslie, Hamish A. Ramsay, 2014 .

Comments on: ‘The effect of domain shape on principal components analyses’

Michael B. Richman, M. B. Richman, 1993 .

Rotation of principal components

M. Richman, M. B. Richman, 1986 .

Synoptic Composites of Tornadic and Nontornadic Outbreaks

M. Richman, L. Leslie, C. Doswell, 2011 .

Classification and regionalization through kernel principal component analysis

Michael B. Richman, Indra Adrianto, I. Adrianto, 2010 .

On the Application of Cluster Analysis to Growing Season Precipitation Data in North America East of the Rockies

Michael B. Richman, M. Richman, Xiaofeng Gong, 1995 .

Reducing Tropical Cyclone Prediction Errors Using Machine Learning Approaches

Michael B. Richman, Lance M. Leslie, Hamish A. Ramsay, 2017 .

Procrustes target analysis: A multivariate tool for identification of climate fluctuations

Michael B. Richman, William E. Easterling, W. Easterling, 1988 .

Obliquely Rotated Principal Components: An Improved Meteorological Map Typing Technique?

Michael B. Richman, M. B. Richman, 1981 .

Seasonality in the Associations between Surface Temperatures over the United States and the North Pacific Ocean

J. Walsh, M. B. Richman, 1981 .

Climate regionalization and rotation of principal components

Michael B. Richman, Dale White, Brent Yarnal, 2007 .

The use of Procrustes Target Analysis to discriminate dominant source regions of fine sulfur in the western U.S.A.

S. Vermette, M. B. Richman, 1993 .

On the use of areal coverage of parameters favorable for severe weather to discriminate major outbreaks

M. Richman, L. Leslie, C. Doswell, 2010, E-Journal of Severe Storms Meteorology.

An Assessment of Areal Coverage of Severe Weather Parameters for Severe Weather Outbreak Diagnosis

M. Richman, L. Leslie, C. Doswell, 2012 .

Evaluation of WRF Model Simulations of Tornadic and Nontornadic Outbreaks Occurring in the Spring and Fall

Charles A. Doswell, Andrew E. Mercer, Michael B. Richman, 2010 .

Evaluation of WRF Forecasts of Tornadic and Nontornadic Outbreaks when Initialized with Synoptic-Scale Input

Charles A. Doswell, Andrew E. Mercer, Michael B. Richman, 2008 .

Pattern analysis of growing season precipitation in Southern Canada

P. Lamb, M. B. Richman, 1987 .

Climatic Pattern Analysis of Three- and Seven-Day Summer Rainfall in the Central United States: Some Methodological Considerations and a Regionalization

Michael B. Richman, Peter J. Lamb, P. Lamb, 1985 .

Observed Nonlinearities of Monthly Teleconnections between Tropical Pacific Sea Surface Temperature Anomalies and Central and Eastern North American Precipitation

David L. Montroy, P. Lamb, M. B. Richman, 1998 .

Spatial Coherence of Monthly Precipitation in the United States

J. Walsh, M. B. Richman, D. W. Allen, 1982 .

Climatology of 500‐hPa geopotential height anomalies associated with May tornado outbreaks in the United States

R. McPherson, A. Mercer, M. B. Richman, 2022, International Journal of Climatology.

Objective Classification of Tornadic and Nontornadic Severe Weather Outbreaks

M. Richman, L. Leslie, C. Doswell, 2009 .

Reaching Scientific Consensus Through a Competition

K. Elmore, V. Lakshmanan, M. B. Richman, 2010 .

Machine Learning for Attribution of Heat and Drought in Southwestern Australia

Michael B. Richman, Lance M. Leslie, L. Leslie, 2020 .

The 2015-2017 Cape Town Drought: Attribution and Prediction Using Machine Learning

Michael B. Richman, Lance M. Leslie, L. Leslie, 2018 .

Attribution and Prediction of Maximum Temperature Extremes in SE Australia

Michael B. Richman, Lance M. Leslie, L. Leslie, 2014, Complex Adaptive Systems.

Damaging Weather Conditions in the United States: A Selection of Data Quality and Monitoring Issues

Michael B. Richman, Peter J. Lamb, P. Lamb, 1999 .

The influence of synoptic scale meteorology on transport of urban air to remote locations in the Southwestern United States of America

M. Richman, S. Pryor, T. Davies, 1995 .

REVIEW ARTICLE ROTATION OF PRINCIPAL COMPONENTS

Michael B. Richman, M. B. Richman, 1986 .

Cluster Analysis of North Atlantic Tropical Cyclones

Michael B. Richman, Lance M. Leslie, Peter J. Lamb, 2014, Complex Adaptive Systems.

Can principal component analysis provide atmospheric circulation or teleconnection patterns?

M. Richman, R. Compagnucci, M. B. Richman, 2008 .

Interannual Variability of Tropical Cyclones in the Australian Region: Role of Large-Scale Environment

L. Leslie, H. Ramsay, P. Lamb, 2008 .

Active Learning with Kernel Machines for Tornado Detection

Theodore B. Trafalis, Michael B. Richman, Indra Adrianto, 2008 .

Classification of Changes in Extreme Heat Over Southeastern Australia

Michael B. Richman, Lance M. Leslie, M. Richman, 2013, Complex Adaptive Systems.

Ocean Surface Wind Vector Forecasting Using Support Vector Regression

Theodore B. Trafalis, Michael B. Richman, Lance M. Leslie, 2007 .

Real-Time Prediction Using Kernel Methods and Data Assimilation

S. Lakshmivarahan, Theodore B. Trafalis, Michael B. Richman, 2009 .

Machine Learning Techniques for Imbalanced Data: An Application for Tornado Detection

Theodore B. Trafalis, Michael B. Richman, Indra Adrianto, 2010 .

Machine-learning classifiers for imbalanced tornado data

S. Lakshmivarahan, Theodore B. Trafalis, Michael B. Richman, 2014, Comput. Manag. Sci..

Linear classification tikhonov regularization knowledge-based support vector machine for tornado forecasting

Theodore B. Trafalis, Michael B. Richman, Olutayo O. Oladunni, 2011, Comput. Manag. Sci..

High Dimensional Dataset Compression Using Principal Components

M. Richman, L. Leslie, C. Doswell, 2013 .

Machine Learning Classifiers for Tornado Detection: Sensitivity Analysis on Tornado Data Sets

S. Lakshmivarahan, Theodore B. Trafalis, Michael B. Richman, 2006 .

Active Learning with Support Vector Machines for Tornado Prediction

Theodore B. Trafalis, Michael B. Richman, Indra Adrianto, 2007, International Conference on Computational Science.

A Pipeline Support Vector Regression Method to Thin Large Ocean Surface Wind Data On-Line

Theodore B. Trafalis, Michael B. Richman, Lance M. Leslie, 2008 .

Recent hydroclimatic fluctuations and their effects on water resources in Illinois

M. Richman, Keith Smith, M. B. Richman, 1993 .

Circulation typing with fuzzy rotated T-mode principal component analysis: methodological considerations

Chibuike Chiedozie Ibebuchi, M. B. Richman, C. Ibebuchi, 2023, Theoretical and Applied Climatology.

Statistical Modeling of Downslope Windstorms in Boulder, Colorado

Andrew E. Mercer, Howard B. Bluestein, M. Richman, 2006 .

MULTIPLE IMPUTATION THROUGH MACHINE LEARNING ALGORITHMS

Theodore B. Trafalis, Michael B. Richman, Indra Adrianto, 2006 .

On the use of Procrustes target analysis for validation of modeled precipitation modes

Chibuike Chiedozie Ibebuchi, M. B. Richman, C. Ibebuchi, 2023, Climate Dynamics.

Adaptive Machine Learning Approaches to Seasonal Prediction of Tropical Cyclones

Michael B. Richman, Lance M. Leslie, L. Leslie, 2012, Complex Adaptive Systems.

An Observational Study of Derecho-Producing Convective Systems

David J. Stensrud, Michael B. Richman, Michael C. Coniglio, 2004 .

Constructing an Efficient Machine Learning Model for Tornado Prediction

T. Trafalis, F. Aleskerov, V. Yakuba, 2018, Int. J. Inf. Technol. Decis. Mak..

Relationships between the Definition of the Hyperplane Width to the Fidelity of Principal Component Loading Patterns.

M. Richman, Xiaofeng Gong, M. B. Richman, 1999 .

Classifying Drought in Ethiopia Using Machine Learning

Michael B. Richman, Lance M. Leslie, Zewdu T. Segele, 2016 .

Data mining techniques for improved WSR-88D rainfall estimation

Theodore B. Trafalis, Michael B. Richman, Budi Santosa, 2002 .

Range-Correcting Azimuthal Shear in Doppler Radar Data

Michael B. Richman, Pamela L. Heinselman, Travis M. Smith, 2012 .

A Climate Change Database for Biological Assessments in the Southeastern United States: Development and Case Study

P. Lamb, D. Sampson, E. Cooter, 2000 .

Rule-Based Support Vector Machine Classifiers Applied to Tornado Prediction

Budi Santosa, Theodore B. Trafalis, Michael B. Richman, 2004, International Conference on Computational Science.

Identification of severe weather outbreaks using kernel principal component analysis

Andrew E. Mercer, Michael B. Richman, Lance M. Leslie, 2011, Complex Adaptive Systems.

Tornado Detection with Support Vector Machines

Theodore B. Trafalis, Michael B. Richman, Huseyin Ince, 2003, International Conference on Computational Science.

An automated technique to categorize storm type from radar and near-storm environment data

Michael B. Richman, Travis M. Smith, Valliappa Lakshmanan, 2012 .

Tornado Detection with Support Vector Machines

T. Trafalis, M. B. Richman, Huseyin Ince, 2003, International Conference on Computational Science.

Seasonal-to-Interannual Variability of Ethiopia/Horn of Africa Monsoon. Part II: Statistical Multimodel Ensemble Rainfall Predictions

L. Leslie, Z. Segele, P. Lamb, 2015 .