Metalearning Approach Coupled with CMIP6 Multi-GCM for Future Monthly Streamflow Forecasting

Projection of future extreme precipitation in Iran based on CMIP6 multi-model ensemble

(2021) Azar Zarrin et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Potential in improving monthly streamflow forecasting through variational assimilation of observed streamflow

(2021) Amir Mazrooei et al.   JOURNAL OF HYDROLOGY

Hydrological Extremes and Responses to Climate Change in the Kelantan River Basin, Malaysia, Based on the CMIP6 HighResMIP Experiments

(2021) Mou Leong Tan et al.   Water

Comparison of CMIP5 and CMIP6 Multi-Model Ensemble for Precipitation Downscaling Results and Observational Data: The Case of Hanjiang River Basin

(2021) Dong Wang et al.   Atmosphere

Variations in start date, end date, frequency and intensity of yearly temperature extremes across China during the period 1961–2017

(2020) Jingya Han et al.   Environmental Research Letters

Machine learning techniques for monthly river flow forecasting of Hunza River, Pakistan

(2020) Dostdar Hussain et al.   Earth Science Informatics

Projected Streamflow in the Kurau River Basin of Western Malaysia under Future Climate Scenarios

(2020) Muhammad Nasir Mohd Adib et al.   Scientific Reports

Projected climate change in the Karkheh Basin, Iran, based on CORDEX models

(2020) Hamzeh Ahmadi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM 1.2) and its response to increasing CO2

(2019) Thorsten Mauritsen et al.   Journal of Advances in Modeling Earth Systems

The trauma severity model: An ensemble machine learning approach to risk prediction

(2019) Michael T. Gorczyca et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Modeling climate-smart decision support system (CSDSS) for analyzing water demand of a large-scale rice irrigation scheme

(2019) M.K. Rowshon et al.   AGRICULTURAL WATER MANAGEMENT

Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition

(2019) Mumtaz Ali et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Predicting hydrologic disturbance of streams using species occurrence data

(2019) John Tyler Fox et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimating the daily pollen concentration in the atmosphere using machine learning and NEXRAD weather radar data

(2019) Gebreab K. Zewdie et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm

(2019) Wen-jing Niu et al.   APPLIED SOFT COMPUTING

Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin

(2019) Saeed Samadianfard et al.   Water

Comparison of daily streamflow forecasts using extreme learning machines and the random forest method

(2019) Xue Li et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Simulation and forecasting of streamflows using machine learning models coupled with base flow separation

(2018) Hakan Tongal et al.   JOURNAL OF HYDROLOGY

Development of a support vector machine based cloud detection method for MODIS with the adjustability to various conditions

(2018) Haruma Ishida et al.   REMOTE SENSING OF ENVIRONMENT

Performance of the general circulation models in simulating temperature and precipitation over Iran

(2018) Mohammadsadegh Abbasian et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Climate change in Malaysia: Trends, contributors, impacts, mitigation and adaptations

(2018) Daniel Tang Kuok Ho   SCIENCE OF THE TOTAL ENVIRONMENT

The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview

(2017) Keywan Riahi et al.   GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS

Monthly River Forecasting Using Instance-Based Learning Methods and Climatic Parameters

(2017) Mohammad Reza Yazdani et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Modeling Potential Impacts of Climate Change on Streamflow Using Projections of the 5th Assessment Report for the Bernam River Basin, Malaysia

(2017) Nkululeko Simeon Dlamini et al.   Water

Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

(2016) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Suitability of ANN applied as a hydrological model coupled with statistical downscaling model: a case study in the northern area of Peninsular Malaysia

(2015) Zulkarnain Hassan et al.   Environmental Earth Sciences

Dealing with Uncertainties in Fresh Water Supply: Experiences in the Netherlands

(2015) Wil Thissen et al.   WATER RESOURCES MANAGEMENT

Hydrologic and Water Quality Models: Performance Measures and Evaluation Criteria

(2015)   Transactions of the ASABE

Historical trend of hourly extreme rainfall in Peninsular Malaysia

(2014) A. H. Syafrina et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Impacts and uncertainties of climate change on streamflow of the Johor River Basin, Malaysia using a CMIP5 General Circulation Model ensemble

(2014) Mou Leong Tan et al.   Journal of Water and Climate Change

Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests

(2013) Haiyan Guan et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Improving the forecasts of extreme streamflow by support vector regression with the data extracted by self-organizing map

(2012) Ming-Chang Wu et al.   HYDROLOGICAL PROCESSES

Runoff conditions in the upper Danube basin under an ensemble of climate change scenarios

(2012) Harald Kling et al.   JOURNAL OF HYDROLOGY

An Overview of CMIP5 and the Experiment Design

(2011) Karl E. Taylor et al.   BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY

Examination of change factor methodologies for climate change impact assessment

(2011) Aavudai Anandhi et al.   WATER RESOURCES RESEARCH

The next generation of scenarios for climate change research and assessment

(2010) Richard H. Moss et al.   NATURE

Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling

(2009) Hoshin V. Gupta et al.   JOURNAL OF HYDROLOGY

Recent changes in extreme rainfall events in Peninsular Malaysia: 1971–2005

(2009) Wan Zawiah Wan Zin et al.   THEORETICAL AND APPLIED CLIMATOLOGY

A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression

(2008) Chih-Hung Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS