An improved SPEI drought forecasting approach using the long short-term memory neural network

Causes and consequences of eastern Australia's 2019–20 season of mega‐fires

(2020) Rachael H. Nolan et al.   GLOBAL CHANGE BIOLOGY

Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset

(2020) Ian Harris et al.   Scientific Data

Temporal Hydrological Drought Index Forecasting for New South Wales, Australia Using Machine Learning Approaches

(2020) Abhirup Dikshit et al.   Atmosphere

Short-Term Spatio-Temporal Drought Forecasting Using Random Forests Model at New South Wales, Australia

(2020) Abhirup Dikshit et al.   Applied Sciences-Basel

Pathways and challenges of the application of artificial intelligence to geohazards modelling

(2020) Abhirup Dikshit et al.   GONDWANA RESEARCH

Drought indices and indicators revisited

(2019) Yohannes Yihdego et al.   Arabian Journal of Geosciences

Deep learning and process understanding for data-driven Earth system science

(2019) Markus Reichstein et al.   NATURE

How ecologists define drought, and why we should do better

(2019) Ingrid J. Slette et al.   GLOBAL CHANGE BIOLOGY

Construction of a drought monitoring model using deep learning based on multi-source remote sensing data

(2019) Runping Shen et al.   International Journal of Applied Earth Observation and Geoinformation

National food production stabilized by crop diversity

(2019) Delphine Renard et al.   NATURE

Drought prediction based on SPI and SPEI with varying timescales using LSTM recurrent neural network

(2019) S. Poornima et al.   SOFT COMPUTING

A review of environmental droughts: Increased risk under global warming?

(2019) Sergio M. Vicente-Serrano et al.   EARTH-SCIENCE REVIEWS

Deep learning for multi-year ENSO forecasts

(2019) Yoo-Geun Ham et al.   NATURE

Short and mid-term sea surface temperature prediction using time-series satellite data and LSTM-AdaBoost combination approach

(2019) Changjiang Xiao et al.   REMOTE SENSING OF ENVIRONMENT

Remote sensing for drought monitoring & impact assessment: Progress, past challenges and future opportunities

(2019) Harry West et al.   REMOTE SENSING OF ENVIRONMENT

A hybrid wavelet de-noising and Rank-Set Pair Analysis approach for forecasting hydro-meteorological time series

(2018) Dong Wang et al.   ENVIRONMENTAL RESEARCH

A fusion-based methodology for meteorological drought estimation using remote sensing data

(2018) Mohammad Reza Alizadeh et al.   REMOTE SENSING OF ENVIRONMENT

Seasonal Drought Prediction: Advances, Challenges, and Future Prospects

(2018) Zengchao Hao et al.   REVIEWS OF GEOPHYSICS

A Review of Global Precipitation Data Sets: Data Sources, Estimation, and Intercomparisons

(2018) Qiaohong Sun et al.   REVIEWS OF GEOPHYSICS

A systematic study of the class imbalance problem in convolutional neural networks

(2018) Mateusz Buda et al.   NEURAL NETWORKS

Stable oxygen isotopes in Romanian oak tree rings record summer droughts and associated large-scale circulation patterns over Europe

(2018) Viorica Nagavciuc et al.   CLIMATE DYNAMICS

Drought forecasting by ANN, ANFIS, and SVM and comparison of the models

(2017) Maryam Mokhtarzad et al.   Environmental Earth Sciences

A Statistical Method for Categorical Drought Prediction Based on NLDAS-2

(2016) Zengchao Hao et al.   Journal of Applied Meteorology and Climatology

Mastering the game of Go with deep neural networks and tree search

(2016) David Silver et al.   NATURE

Drought in the Anthropocene

(2016) Anne F. Van Loon et al.   Nature Geoscience

Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

(2016) Ravinesh C. Deo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia

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

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Did Climate Change–Induced Rainfall Trends Contribute to the Australian Millennium Drought?

(2014) Wenju Cai et al.   JOURNAL OF CLIMATE

Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring

(2013) Santiago Beguería et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

The Millennium Drought in southeast Australia (2001-2009): Natural and human causes and implications for water resources, ecosystems, economy, and society

(2013) Albert I. J. M. van Dijk et al.   WATER RESOURCES RESEARCH

Performance of Drought Indices for Ecological, Agricultural, and Hydrological Applications

(2012) Sergio M. Vicente-Serrano et al.   Earth Interactions

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Drought modeling – A review

(2011) Ashok K. Mishra et al.   JOURNAL OF HYDROLOGY

Long Lead Time Drought Forecasting Using a Wavelet and Fuzzy Logic Combination Model: A Case Study in Texas

(2011) Mehmet Özger et al.   JOURNAL OF HYDROMETEOROLOGY

A review of drought concepts

(2010) Ashok K. Mishra et al.   JOURNAL OF HYDROLOGY

A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index

(2009) Sergio M. Vicente-Serrano et al.   JOURNAL OF CLIMATE