climate and hydrometeorological extremes (CLIMEX)

2019

 

1. Rashid, M. M., Wahl, T., Chamber, D. P., Calafat, F. M., Sweet, W. (2019), An extreme sea level indicator for the contiguous United States coastline, Scientific Data, Nature, doi: 10.1038/s41597-019-0333-x

2. Rashid, M. M., Johnson, F. and Sharma, A. (2019), Multi-model drought predictions using temporally aggregated climate indicators, Journal of Hydrology, Elsevier, doi: 10.1016/j.jhydrol.2019.124419.

3. Rashid, M. M., and Beecham, S. (2019), Development of a non-stationary Standardized Precipitation Index and its application to a South Australian climate, Science of the Total Environment, Elsevier, 657, pp882-892, doi: 10.1016/j.scitotenv.2018.12.052.

4. Rashid, M. M., and Beecham, S. (2019), Simulation of streamflow with statistically downscaled daily rainfall using a hybrid Wavelet-GAMLSS model, Hydrological Sciences Journal, Taylor and Francis, doi: 10.1080/02626667.2019.1630742

5. Rashid, M. M., and Beecham, S. (2019), Characterization of meteorological droughts across South Australia, Meteorological Applications, Royal Meteorological Society, doi: 10.1002/met.1783  

6. Sachindra, D. A., Ahmed, K., Rashid, M. M., Shahid, S., Shegal, V. and Perera, B. J. C. (2019), Pros and cons of using wavelets in conjunction with genetic programming and generalized linear model in statistical downscaling, Theoretical and Applied Climatology, Springer, doi: 10.1007/s00704-019-02848-2

7. Chowdhury, A. K., Kar., K. K., Shahid., S., Chowdhury., R. K. and Rashid., M. M. (2019), Evaluation of spatio-temporal rainfall variability and a stochastic rainfall model in Bangladesh, International Journal of Climatology, Royal Meteorological Society, doi: 10.1002/joc.6071  

 

2018

8. Rashid, M. M., Johnson, F. and Sharma, A. (2018), Identifying sustained drought anomalies in hydrological records: A wavelet approach, Journal of Geophysical Research: Atmosphere, AGU, 123(14), pp7416-7432, doi: 10.1029/2018JD028455

9. Sachindra, D. A., Ahmed, K., Rashid, M.M., Shahid, S. and Perera, B. J. C. (2018), Statistical downscaling of precipitation using machine learning techniques, Atmospheric Research, Elsevier, 212, pp240-258, doi: 10.1016/j.atmosres.2018.05.022

 

2017

10. Rashid, M. M., Beecham, S., and Chowdhury, R. K. (2017), Simulation of extreme rainfall and projection of future changes using the GLIMCLIM Model, Theoretical and Applied Climatology, Springer,130(1-2), pp453-466, doi: 10.1007/s00704-016-1892-9

 

2016

11. Rashid, M. M., Beecham, S. and Chowdhury, R. K. (2016), Statistical downscaling of rainfall: a non-stationary and multi-resolution approach, Theoretical and Applied Climatology, Springer, 124(3), pp919–933, doi: 10.1007/s00704-015-1465-3

 

2015

12. Rashid, M. M., Beecham, S. and Chowdhury, R. K. (2015), Statistical downscaling of CMIP5 outputs for projecting future changes in rainfall in the Onkaparinga catchment, Science of the Total Environment, Elsevier, 530, pp171-182, doi: 10.1016/j.scitotenv.2015.05.024

13. Rashid, M. M., Beecham, S., and Chowdhury, R. K. (2015), Assessment of trends in point rainfall using continuous wavelet transforms, Advances in Water Resources, Elsevier, 82, pp1-15 doi: 10.1016/j.advwatres.2015.04.006

14. Rashid, M. M., Beecham, S., and Chowdhury, R. K. (2015), Statistical characteristics of rainfall in the Onkaparinga catchment in South Australia, Journal of Water and Climate Change, IWA Publishing, 6(2), pp352-373 doi: 10.2166/wcc.2014.031

 

2014

15. Beecham, S., Rashid, M. M. and Chowdhury, R. K. (2014), Statistical downscaling of multi-site daily rainfall in a South Australian catchment using a Generalized Linear Model, International Journal of Climatology, Royal Meteorological Society, 34(14), pp3654 – 3670 doi: 10.1002/joc.3933

 

2013

16. Rashid, M. M., Beecham, S., and Chowdhury, R. K. (2013), Assessment of statistical characteristics of point rainfall in the Onkaparinga catchment in South Australia. Hydrology and Earth System Sciences Discussion, 10(5), 5975-6017, doi: 10.5194/hessd-10-5975-2013

  

Conference Contributions

Journal Articles

1. Tadesse, M., T. Wahl., Rashid, M., M., (2018) Statistical model to simulate global storm surge. Fall meeting, AGU, 10-14 December, Washington, D.C., USA.

2. Rashid, M. M., T. Wahl (2018), Identifying multidecadal variability of extreme sea levels along the United States Coastlines. Fall meeting, AGU, 10-14 December, Washington, D.C., USA.

3. Rashid, M. M., A. Sharma and F. Johnson (2017), Quantification of droughts using wavelet filtered GCM simulations. AMOS ICSHMO 2018, 5 – 9 February, University of New South Wales (UNSW), Sydney, Australia.

4. Rashid, M. M., A. Sharma and F. Johnson (2017), Aggregating climate drivers to model sustained rainfall anomalies: what is the best scale? In Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (eds) MODSIM2017, 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2017, ISBN: 978-0-9872143-7-9.

5. Rashid, M. M., S. Chowdhury, R. Beecham, A. Sharma and F. Johnson (2017), How can we better quantify drought in a warming climate? In Syme, G., Hatton MacDonald, D., Fulton, B. and Piantadosi, J. (eds) MODSIM2017, 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2017, ISBN: 978-0-9872143-7-9.

6. Rashid, M. M. and Beecham, S.  (2017), Characterization of historical droughts in South Australia. 14th IAHR/IWA International conference on Urban Drainage, 10 – 15 September 2017, Prague, Czech Republic.

7. Rashid, M. M., Beecham, S. and Chowdhury, R. K. (2015), Statistical Downscaling of Extreme Rainfall Using a Generalized Linear Model for Location, Scale and Shape (GAMLSS), 9th International Workshop on Precipitation in Urban Areas: Urban Challenges in Rainfall Analysis, 6-9 December 2015, St. Moritz, Switzerland.

8. Rashid, M. M., Beecham, S. and Chowdhury, R. K.  (2014), Influence of climate drivers on variability and trends in seasonal rainfall in the Onkaparinga catchment in South Australia: A wavelet approach, 13th IAHR/IWA International conference on Urban Drainage, 7 – 12 September 2014, Kuching, Malaysia

9. Rashid, M. M., Beecham, S. and Chowdhury, R. K.  (2014), Selection of predictors for statistical downscaling using wavelet techniques, 13th IAHR/IWA International conference on Urban Drainage, 7 – 12 September 2014, Kuching, Malaysia.

10. Rashid, M. M., Beecham, S. and Chowdhury, R. K.  (2013), Simulation of extreme rainfall from CMIP5 in the Onkaparinga catchment using a generalized linear model. In Piantadosi, J., Anderssen, R.S. and Boland J. (eds) MODSIM2013, 20th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2013, pp. 2520-2526. ISBN: 978-0-9872143-3-1. www.mssanz.org.au/modsim2013/L5/rashid.pdf

11. Rashid, M. M., Beecham, S. and Chowdhury, R. K. (2013), Modelling of Extreme Rainfall in South Australia using a Generalised Linear Model, 4th International Conference on Water and Flood Management, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, 4-5 October, pp 105-111.

12. Rashid, M. M., Beecham, S. and Chowdhury, R. K. (2012), Multisite Spatial-Temporal Rainfall Analysis in the Onkaparinga Catchment using A Generalized Linear Model, 9th International Workshop on Precipitation in Urban Areas: Urban Challenges in Rainfall Analysis, 6-9 December 2012, St. Moritz, Switzerland, pp106-110.

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Bibliographic Impact (Google Scholar)

Peer-reviewed journal articles: 16

Conference contributions: 12

Citations: 252, h-Index: 9, i-10 Index: 7