Stochastic projection of precipitation and wet and dry spells over Pakistan using IPCC AR5 based AOGCMs
Authors:
- A. NabeelANA. Nabeel
- H. AtharHAH. Athar
- 1 April 2020
- journal article
- research article
- Published by Elsevier in Atmospheric Research
- Vol. 234
Abstract
No abstract availableKeywords
This publication has 27 references indexed in Scilit:
- Simulated differences in 21st century aridity due to different scenarios of greenhouse gases and aerosolsClimatic Change, 2016
- Assessment of climate change impacts on watershed in cold-arid region: an integrated multi-GCM-based stochastic weather generator and stepwise cluster analysis methodClimate Dynamics, 2015
- Adapting wheat ideotypes for climate change: accounting for uncertainties in CMIP5 climate projectionsClimate Research, 2015
- Quantification of the climate change-induced variations in Intensity–Duration–Frequency curves in the Canadian PrairiesJournal of Hydrology, 2015
- Changes in precipitation and temperature in Xiangjiang River Basin, ChinaTheoretical and Applied Climatology, 2015
- Modeling surface water-groundwater interaction in arid and semi-arid regions with intensive agricultureEnvironmental Modelling & Software, 2015
- Trends in observed extreme climate indices in Saudi Arabia during 1979–2008International Journal of Climatology, 2013
- An Overview of CMIP5 and the Experiment DesignBulletin of the American Meteorological Society, 2012
- A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, PakistanAgriculture, Ecosystems & Environment, 2003
- Summarizing multiple aspects of model performance in a single diagramJournal of Geophysical Research: Atmospheres, 2001