Bayesian network based procedure for regional drought monitoring: The Seasonally Combinative Regional Drought Indicator

Author:

Ali Zulfiqar,Hussain Ijaz,Grzegorczyk Marco Andreas,Ni Guangheng,Faisal Muhammad,Qamar Sadia,Shoukry Alaa Mohamd,Wahab Sharkawy Mohammed Abdel,Gani Showkat,Al-Deek Fares Fawzi

Funder

King Saud University

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Waste Management and Disposal,General Medicine,Environmental Engineering

Reference80 articles.

1. A novel multi-scalar drought index for monitoring drought: the standardized precipitation temperature index;Ali;Water Resour. Manag.,2017

2. A new weighting scheme in weighted markov model for predicting the probability of drought episodes;Ali;Adv. Meteorol.,2018

3. Selection of appropriate time scale with Boruta algorithm for regional drought monitoring using multi-scaler drought index;Ali;Tellus Dyn. Meteorol. Oceanogr.,2019

4. A framework to identify homogeneous drought characterization regions;Ali;Theor. Appl. Climatol.,2019

5. Determining the optimal spatial distribution of weather station networks for hydrological modeling purposes using RCM datasets: an experimental approach;Arsenault;J. Hydrometeorol.,2014

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