Machine Learning and Data Mining Approaches to Climate Science
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Published By Springer International Publishing

9783319172194, 9783319172200

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Investigation of Precipitation Thresholds in the Indian Monsoon Using Logit-Normal Mixed Models

Machine Learning and Data Mining Approaches to Climate Science ◽

10.1007/978-3-319-17220-0_22 ◽

2015 ◽

pp. 239-246

Author(s):

Lindsey R. Dietz ◽

Snigdhansu Chatterjee

Keyword(s):

Mixed Models ◽

Indian Monsoon ◽

Precipitation Thresholds

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Comparison of the Main Features of the Zonally Averaged Surface Air Temperature as Represented by Reanalysis and AR4 Models

Machine Learning and Data Mining Approaches to Climate Science ◽

10.1007/978-3-319-17220-0_21 ◽

2015 ◽

pp. 227-237

Author(s):

Iñigo Errasti ◽

Agustín Ezcurra ◽

Jon Sáenz ◽

Gabriel Ibarra-Berastegi ◽

Eduardo Zorita

Keyword(s):

Air Temperature ◽

Surface Air Temperature

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A Complex Network Approach to Investigate the Spatiotemporal Co-variability of Extreme Rainfall

Machine Learning and Data Mining Approaches to Climate Science ◽

10.1007/978-3-319-17220-0_15 ◽

2015 ◽

pp. 163-174

Author(s):

Niklas Boers ◽

Aljoscha Rheinwalt ◽

Bodo Bookhagen ◽

Norbert Marwan ◽

Jürgen Kurths

Keyword(s):

Complex Network ◽

Extreme Rainfall ◽

Network Approach

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Evaluation of Global Climate Models Based on Global Impacts of ENSO

Machine Learning and Data Mining Approaches to Climate Science ◽

10.1007/978-3-319-17220-0_10 ◽

2015 ◽

pp. 101-109 ◽

Cited By ~ 1

Author(s):

Saurabh Agrawal ◽

Trent Rehberger ◽

Stefan Liess ◽

Gowtham Atluri ◽

Vipin Kumar

Keyword(s):

Climate Models ◽

Global Climate ◽

Global Climate Models ◽

Global Impacts

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A New Distribution Mapping Technique for Climate Model Bias Correction

Machine Learning and Data Mining Approaches to Climate Science ◽

10.1007/978-3-319-17220-0_9 ◽

2015 ◽

pp. 91-99 ◽

Cited By ~ 10

Author(s):

Seth McGinnis ◽

Doug Nychka ◽

Linda O. Mearns

Keyword(s):

Bias Correction ◽

Climate Model ◽

Mapping Technique ◽

Model Bias ◽

Climate Model Bias ◽

Distribution Mapping ◽

New Distribution

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A Bayesian Multivariate Nonhomogeneous Markov Model

Machine Learning and Data Mining Approaches to Climate Science ◽

10.1007/978-3-319-17220-0_6 ◽

2015 ◽

pp. 61-69 ◽

Cited By ~ 1

Author(s):

Arthur M. Greene ◽

Tracy Holsclaw ◽

Andrew W. Robertson ◽

Padhraic Smyth

Keyword(s):

Markov Model

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Comparison of Linear and Tobit Modeling of Downscaled Daily Precipitation over the Missouri River Basin Using MIROC5

Machine Learning and Data Mining Approaches to Climate Science ◽

10.1007/978-3-319-17220-0_4 ◽

2015 ◽

pp. 35-49

Author(s):

Sai K. Popuri ◽

Nagaraj K. Neerchal ◽

Amita Mehta

Keyword(s):

River Basin ◽

Daily Precipitation ◽

Missouri River

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Identifying Developing Cloud Clusters Using Predictive Features

Machine Learning and Data Mining Approaches to Climate Science ◽

10.1007/978-3-319-17220-0_20 ◽

2015 ◽

pp. 217-225 ◽

Cited By ~ 1

Author(s):

Chaunté W. Lacewell ◽

Abdollah Homaifar

Keyword(s):

Cloud Clusters

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Predicting Crop Yield via Partial Linear Model with Bootstrap

Machine Learning and Data Mining Approaches to Climate Science ◽

10.1007/978-3-319-17220-0_8 ◽

2015 ◽

pp. 81-90

Author(s):

Megan Heyman ◽

Snigdhansu Chatterjee

Keyword(s):

Linear Model ◽

Crop Yield ◽

Partial Linear Model ◽

Partial Linear

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Teleconnections in Climate Networks: A Network-of-Networks Approach to Investigate the Influence of Sea Surface Temperature Variability on Monsoon Systems

Machine Learning and Data Mining Approaches to Climate Science ◽

10.1007/978-3-319-17220-0_3 ◽

2015 ◽

pp. 23-33 ◽

Cited By ~ 5

Author(s):

Aljoscha Rheinwalt ◽

Bedartha Goswami ◽

Niklas Boers ◽

Jobst Heitzig ◽

Norbert Marwan ◽

...

Keyword(s):

Surface Temperature ◽

Sea Surface Temperature ◽

Temperature Variability ◽

Sea Surface ◽

Network Of Networks ◽

Climate Networks

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Machine Learning and Data Mining Approaches to Climate ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Investigation of Precipitation Thresholds in the Indian Monsoon Using Logit-Normal Mixed Models

Comparison of the Main Features of the Zonally Averaged Surface Air Temperature as Represented by Reanalysis and AR4 Models

A Complex Network Approach to Investigate the Spatiotemporal Co-variability of Extreme Rainfall

Evaluation of Global Climate Models Based on Global Impacts of ENSO

A New Distribution Mapping Technique for Climate Model Bias Correction

A Bayesian Multivariate Nonhomogeneous Markov Model

Comparison of Linear and Tobit Modeling of Downscaled Daily Precipitation over the Missouri River Basin Using MIROC5

Identifying Developing Cloud Clusters Using Predictive Features

Predicting Crop Yield via Partial Linear Model with Bootstrap

Teleconnections in Climate Networks: A Network-of-Networks Approach to Investigate the Influence of Sea Surface Temperature Variability on Monsoon Systems

Machine Learning and Data Mining Approaches to Climate Science
Latest Publications