Applying big data beyond small problems in climate research

Spatial cumulative sum algorithm with big data analytics for climate change detection

(2018) Gunasekaran Manogaran et al.   COMPUTERS & ELECTRICAL ENGINEERING

In-Mapper combiner based MapReduce algorithm for processing of big climate data

(2018) Gunasekaran Manogaran et al.   Future Generation Computer Systems-The International Journal of eScience

Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High-Resolution Simulations

(2017) Tapio Schneider et al.   GEOPHYSICAL RESEARCH LETTERS

Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data

(2017) Anuj Karpatne et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Neural Network-Based Approach for Identification of Meteorological Factors Affecting Regional Sea-Level Anomalies

(2017) Farhad Majdzadeh Moghadam   JOURNAL OF HYDROLOGIC ENGINEERING

Selenium deficiency risk predicted to increase under future climate change

(2017) Gerrad D. Jones et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Opinion: Smart farming is key to developing sustainable agriculture

(2017) Achim Walter et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Quantitative and detailed spatiotemporal patterns of drought in China during 2001–2013

(2017) Lei Zhou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Identification of Critical Flood Prone Areas in Data-Scarce and Ungauged Regions: A Comparison of Three Data Mining Models

(2017) Omid Rahmati et al.   WATER RESOURCES MANAGEMENT

Nowcasting Foehn Wind Events Using the AdaBoost Machine Learning Algorithm

(2017) Michael Sprenger et al.   WEATHER AND FORECASTING

Building confidence in climate model projections: an analysis of inferences from fit

(2017) Christoph Baumberger et al.   Wiley Interdisciplinary Reviews-Climate Change

Predicting floods with Flickr tags

(2017) Nataliya Tkachenko et al.   PLoS One

Detecting climate adaptation with mobile network data in Bangladesh: anomalies in communication, mobility and consumption patterns during cyclone Mahasen

(2016) Xin Lu et al.   CLIMATIC CHANGE

An extreme learning machine approach for modeling evapotranspiration using extrinsic inputs

(2016) Amit Prakash Patil et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Opinion: Big data has big potential for applications to climate change adaptation

(2016) James D. Ford et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Modelling economic losses of historic and present-day high-impact winter windstorms in Switzerland

(2016) Christoph Welker et al.   TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY

Rapid assessment of disaster damage using social media activity

(2016) Y. Kryvasheyeu et al.   Science Advances

Plant Phenotyping using Probabilistic Topic Models: Uncovering the Hyperspectral Language of Plants

(2016) Mirwaes Wahabzada et al.   Scientific Reports

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

(2015) Ravinesh C. Deo et al.   ATMOSPHERIC RESEARCH

The future of climate modeling

(2015) Joel Katzav et al.   CLIMATIC CHANGE

Extreme learning machine based prediction of daily dew point temperature

(2015) Kasra Mohammadi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Crowdsourcing for climate and atmospheric sciences: current status and future potential

(2015) C.L. Muller et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms

(2015) S. Salcedo-Sanz et al.   THEORETICAL AND APPLIED CLIMATOLOGY

MPING: Crowd-Sourcing Weather Reports for Research

(2014) Kimberly L. Elmore et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

A bitter cup: climate change profile of global production of Arabica and Robusta coffee

(2014) Christian Bunn et al.   CLIMATIC CHANGE

Statistical significance of climate sensitivity predictors obtained by data mining

(2014) Peter M. Caldwell et al.   GEOPHYSICAL RESEARCH LETTERS

Climate-smart agriculture for food security

(2014) Leslie Lipper et al.   Nature Climate Change

Climate services for society: origins, institutional arrangements, and design elements for an evaluation framework

(2014) Catherine Vaughan et al.   Wiley Interdisciplinary Reviews-Climate Change

A Big Data Guide to Understanding Climate Change: The Case for Theory-Guided Data Science

(2014) James H. Faghmous et al.   Big Data

Input selection and optimisation for monthly rainfall forecasting in Queensland, Australia, using artificial neural networks

(2013) John Abbot et al.   ATMOSPHERIC RESEARCH

Crowdsourcing urban air temperatures from smartphone battery temperatures

(2013) A. Overeem et al.   GEOPHYSICAL RESEARCH LETTERS

Multiple regression and Artificial Neural Network for long-term rainfall forecasting using large scale climate modes

(2013) F. Mekanik et al.   JOURNAL OF HYDROLOGY

Performance assessment of different data mining methods in statistical downscaling of daily precipitation

(2013) M. Nasseri et al.   JOURNAL OF HYDROLOGY

Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning

(2013) Amy McGovern et al.   MACHINE LEARNING

Solar forecasting methods for renewable energy integration

(2013) Rich H. Inman et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE

Quantifying the Digital Traces of Hurricane Sandy on Flickr

(2013) Tobias Preis et al.   Scientific Reports

Application of artificial neural networks to rainfall forecasting in Queensland, Australia

(2012) John Abbot et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Establishing and assessing the Integrated Surface Drought Index (ISDI) for agricultural drought monitoring in mid-eastern China

(2012) Jianjun Wu et al.   International Journal of Applied Earth Observation and Geoinformation

Improved statistical downscaling of daily precipitation using SDSM platform and data-mining methods

(2012) H. Tavakol-Davani et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Tornadic Supercell Environments Analyzed Using Surface and Reanalysis Data: A Spatiotemporal Relational Data-Mining Approach

(2012) David John Gagne et al.   Journal of Applied Meteorology and Climatology

Predictor Screening, Calibration, and Observational Constraints in Climate Model Ensembles: An Illustration Using Climate Sensitivity

(2012) David Masson et al.   JOURNAL OF CLIMATE

A comparison of three methods for downscaling daily precipitation in the Punjab region

(2011) Deepashree Raje et al.   HYDROLOGICAL PROCESSES

Daily streamflow forecasting by machine learning methods with weather and climate inputs

(2011) Kabir Rasouli et al.   JOURNAL OF HYDROLOGY

Current methods and advances in forecasting of wind power generation

(2011) Aoife M. Foley et al.   RENEWABLE ENERGY

Climate Data Challenges in the 21st Century

(2011) J. T. Overpeck et al.   SCIENCE

Reconstruction of regional mean sea level anomalies from tide gauges using neural networks

(2010) Manfred Wenzel et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Statistical downscaling of daily precipitation using support vector machines and multivariate analysis

(2010) Shien-Tsung Chen et al.   JOURNAL OF HYDROLOGY

Constructing climate knowledge with computer models

(2010) Peter Müller   Wiley Interdisciplinary Reviews-Climate Change

Temporal downscaling: a comparison between artificial neural network and autocorrelation techniques over the Amazon Basin in present and future climate change scenarios

(2009) David Mendes et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Should we believe model predictions of future climate change?

(2008) R. Knutti   PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Statistical downscaling of GCM simulations to streamflow using relevance vector machine

(2007) Subimal Ghosh et al.   ADVANCES IN WATER RESOURCES