Mamunur Rashid
Cited by
Cited by
Statistical downscaling of precipitation using machine learning techniques
DA Sachindra, K Ahmed, MM Rashid, S Shahid, BJC Perera
Atmospheric research 212, 240-258, 2018
Assessment of trends in point rainfall using continuous wavelet transforms
MM Rashid, S Beecham, RK Chowdhury
Advances in water resources 82, 1-15, 2015
Statistical downscaling of multi‐site daily rainfall in a South Australian catchment using a Generalized Linear Model
S Beecham, M Rashid, RK Chowdhury
International journal of climatology 34 (14), 3654-3670, 2014
Modeling of short duration rainfall intensity duration frequency (SDRIDF) equation for Sylhet City in Bangladesh
M Rashid, SB Faruque, JB Alam
arpn j sci technol 2 (2), 92-95, 2012
Statistical downscaling of CMIP5 outputs for projecting future changes in rainfall in the Onkaparinga catchment
MM Rashid, S Beecham, RK Chowdhury
Science of the Total Environment 530, 171-182, 2015
Development of a non-stationary Standardized Precipitation Index and its application to a South Australian climate
MM Rashid, S Beecham
Science of the Total Environment 657, 882-892, 2019
Statistical downscaling of rainfall: a non-stationary and multi-resolution approach
MM Rashid, S Beecham, RK Chowdhury
Theoretical and applied climatology 124, 919-933, 2016
Evaluation of spatio‐temporal rainfall variability and performance of a stochastic rainfall model in Bangladesh
AFMK Chowdhury, KK Kar, S Shahid, R Chowdhury, MM Rashid
International Journal of Climatology 39 (11), 4256-4273, 2019
The history of rainfall data time-resolution in a wide variety of geographical areas
R Morbidelli, AP García-Marín, A Al Mamun, RM Atiqur, JL Ayuso-Muñoz, ...
Journal of hydrology 590, 125258, 2020
Identifying sustained drought anomalies in hydrological records: A wavelet approach
MM Rashid, F Johnson, A Sharma
Journal of Geophysical Research: Atmospheres 123 (14), 7416-7432, 2018
Assessing the dependence structure between oceanographic, fluvial, and pluvial flooding drivers along the United States coastline
AA Nasr, T Wahl, MM Rashid, P Camus, ID Haigh
Hydrology and Earth System Sciences 25 (12), 6203-6222, 2021
An extreme sea level indicator for the contiguous United States coastline
MM Rashid, T Wahl, DP Chambers, FM Calafat, WV Sweet
Nature Scientific Data 6 (1), 1-14, 2019
Pros and cons of using wavelets in conjunction with genetic programming and generalised linear models in statistical downscaling of precipitation
S D.A, A K, MR Md., S V., Shegal, S., P B.J.C.
Theoretical and applied climatology, 2019
Characterization of meteorological droughts across South Australia
MM Rashid, S Beecham
Meteorological Applications, 2019
Simulation of extreme rainfall and projection of future changes using the GLIMCLIM model
MM Rashid, S Beecham, RK Chowdhury
Theoretical and Applied Climatology 130, 453-466, 2017
Statistical characteristics of rainfall in the Onkaparinga catchment in South Australia
MM Rashid, S Beecham, RK Chowdhury
Journal of Water and Climate Change 6 (2), 352-373, 2015
A wavelet-based tool to modulate variance in predictors: An application to predicting drought anomalies
Z Jiang, MM Rashid, F Johnson, A Sharma
Environmental Modelling & Software 135, 104907, 2021
Simulation of streamflow with statistically downscaled daily rainfall using a hybrid of wavelet and GAMLSS models
MM Rashid, S Beecham
Hydrological Sciences Journal 64 (11), 1327-1339, 2019
Influence of climate drivers on variability and trends in seasonal rainfall in the Onkaparinga catchment in South Australia: a wavelet approach
MM Rashid, S Beecham, RK Chowdhury
Proccedings of the 13th International Conference on Urban Drainage (ICUD 2014), 2014
Multi-model drought predictions using temporally aggregated climate indicators
MM Rashid, A Sharma, F Johnson
Journal of Hydrology 581, 124419, 2020
The system can't perform the operation now. Try again later.
Articles 1–20