Directory of people working in climate informatics

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First name Last name Research interests Home page Screen name
Kevin Achieng assessment of climate change impact kachieng
Phil Brown numerical weather prediction, climate modelling, deep learning

www.cray.com

 philipb
Chi-shing Calvin Cheung statistical downscaling, climate modelling, machine learning Calvin Cheung
Ibrahim Demir hydroinformatics, big data analytics, scientific visualization, machine learning

http://myweb.uiowa.edu/demir/

 demiribr
David Dreisigmeyer data mining, image processing, social network analysis dreisigmeyer
Steve Easterbrook Computational Modeling

http://www.cs.toronto.edu/~sme

 SMEasterbrook
Imme Ebert-Uphoff causal discovery, machine learning, climate network

http://www.engr.colostate.edu/~iebert/

 ebertuphoff
Carlos F. Gaitan machine learning, statistical downscaling, evolutionary algorithms, copula function

www.carlosgaitan.com

 carlos.gaitan
Yulia Gel time series, space-time processes, nonparametrics, probabilistic weather forecasting, assessment of climate change impact, climate-sensitive emerging infectious diseases ygl
Mohammad Gorji Sefidmazgi machine learning, statistics, climate informatics

http://acitcenter.ncat.edu/gorji.html

 mgorjis
Healy Hamilton bioclimate informatics, ecological forecasting hhealyh
Christopher Kadow climate models, evaluation systems, decadal climate research, big data, climate informatics, data sets

https://www-miklip.dkrz.de

 christopher.kadow
Chaunté W. Lacewell machine learning, pattern recognition, data fusion

http://acitcenter.ncat.edu/Lacewell.html

 cwlacewe
Valliappa Lakshmanan improving agriculture yield, quantitative precipitation estimation and forecasting, real-time weather data algorithms

http://www.cimms.ou.edu/~lakshman/

 lakshmanok
Slava Lyubchich nonparametric inference for time series, trend detection, testing for synchronism, weather related insurance claims, multilevel random effects models

http://www.umces.edu/cbl/people/slyubchich

 lyubchich
Suzanna Martins machine learning, climate models, data mining, deep learning, forecast Suzanna Bonnet
Karen McKinnon climate dynamics, spatial modeling, extreme events

http://people.fas.harvard.edu/~mckinnon/

 karen.mckinnon
Claire Monteleoni machine learning, climate informatics, Non-stationary data, ensemble methods, online learning, clustering, unsupervised learning from data streams

http://faculty.cs.gwu.edu/~cmontel

 cmontel
Nikunj Oza data mining, machine learning, ensemble learning, anomaly detection, applications to earth science and aeronautics

https://c3.nasa.gov/dashlink/members/27/

 nikunjoza
Sai Kumar Popuri statistical downscaling, data visualisation saiku
Andy Rhines atmospheric physics, climate dynamics, quality control, spatiotemporal analysis, extreme value theory

http://www.stochtastic.com

 arhines
Christopher Schwalm machine learning and climate models cs2239
Erich Seamon machine learning, climate hazard impacts and their associations with agriculture, health, and water availability.

http://erich.io

 erichs
Charles Stanier data assimilation, air pollution, aerosols cloud climate interactions

http://user.engineering.uiowa.edu/~cs_proj/

 cstanier
Ranjini Swaminathan machine learning, data analytics, extreme events

https://www.researchgate.net/profile/Ranjini_Swaminathan

 ranjinis
Pierre Tandeo statistics, data science, data assimilation, oceanography, meteorology, remote sensing

https://tandeo.wordpress.com/

 ptandeo
Laurent Terray climate variability and change, climate models, uncertainty quantification

http://www.cerfacs.fr/~terray/

 terray
Li Quan Wang machine learning and climate models KCZK
Jeremy Weiss climatology, meteorology, geospatial analysis, spatiotemporal analysis jlweiss
Mai Winstrup Past climate, ice cores, machine learning maiwinstrup