M
M. Z. Hashmi
Researcher at University of Auckland
Publications - 14
Citations - 1957
M. Z. Hashmi is an academic researcher from University of Auckland. The author has contributed to research in topics: Downscaling & Climate change. The author has an hindex of 8, co-authored 11 publications receiving 1382 citations. Previous affiliations of M. Z. Hashmi include Quaid-i-Azam University.
Papers
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Journal ArticleDOI
Elevation-dependent warming in mountain regions of the world
Nick Pepin,Raymond S. Bradley,Henry F. Diaz,Michel Baraer,E. B. Caceres,Nathan Forsythe,Hayley J. Fowler,Gregory B. Greenwood,M. Z. Hashmi,Xiaodong Liu,James R. Miller,Liang Ning,A. Ohmura,Elisa Palazzi,Imtiaz Rangwala,Wolfgang Schöner,Igor Severskiy,Maria Shahgedanova,M. B. Wang,Scott N. Williamson,D. Q. Yang +20 more
TL;DR: In this paper, the authors review important mechanisms that contribute towards elevation-dependent warming, such as snow albedo and surface-based feedbacks, water vapour changes and latent heat release, surface water vapours and radiative flux changes, surface heat loss and temperature change; and aerosols.
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Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP)
TL;DR: The results show that GEP-based downscaling models can offer very simple and efficient solutions in the case of precipitationDownscaling, and compared to ANNs, GP based techniques can provide simpler and more efficient solutions.
Journal ArticleDOI
Application of a stochastic weather generator to assess climate change impacts in a semi-arid climate: The Upper Indus Basin
Nathan Forsythe,Hayley J. Fowler,Stephen Blenkinsop,A. Burton,Chris Kilsby,D.R. Archer,C. Harpham,M. Z. Hashmi +7 more
TL;DR: In this paper, a stochastic rainfall model (RainSim) combined with a rainfall conditioned weather generator (CRU WG) have been successfully applied in a semi-arid mountain climate, for part of the Upper Indus Basin (UIB), for point stations at a daily time-step to explore climate change impacts.
Posted ContentDOI
Statistical downscaling of precipitation: state-of-the-art and application of bayesian multi-model approach for uncertainty assessment
TL;DR: In this paper, the uncertainty analysis associated with statistical downscaling of a watershed precipitation (Clutha River above Balclutha, New Zealand) using results from three well reputed down-scaling methods and Bayesian weighted multi-model ensemble approach was addressed.
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Environmental flow requirements and impacts of climate change-induced river flow changes on ecology of the Indus Delta, Pakistan
TL;DR: In this paper, the authors provided an assessment of ecological conditions of the Indus Delta under different climate change scenarios by using ecological health of Indus River as a proxy and found that due to inadequate and inconsistent release of E-flows downstream of Kotri barrage, deltaic ecosystems have deteriorated overtime.