Assessing the Impacts of Climate Change on Future Precipitation Trends Based on Downscaled CMIP5 Simulations Data

Abstract

This study investigates future changes in precipitation over the CRB (Columbia River Basin) in both wet (DJF) and dry (JJA) seasons under RCP85 GHG emission scenario. The simulations from four climate models which participated in CMIP5 (Coupled Model Intercomparison Project Phase-5) were downscaled using the BCSD (Bias Correction and Spatial Disaggregation) method. After downscaling, extreme value analysis and MME (Multi Model Ensemble) averaging is performed. This study focuses on computing 2, 5, 10 and 25 years return levels for both winter (DJF) and summer (JJA) seasons. The maximum winter precipitation values for 2, 5, 10 and 25 years return periods have been estimated to be about 112, 127, 148 and 171 mm/day respectively whereas the maximum summer precipitation values for 2, 5, 10 and 25 years return periods are observed to be about 56, 81, 96 and 126 mm/day respectively. The MME average outperformed the individual models in simulating the historical precipitation in both seasons. The MME results showed a consistent and significant increase in the extreme precipitation and decrease in mean precipitation in both future wet and dry seasons. Largest increase in precipitation occurs over the higher elevations of the Cascades Range, Coast Range and the Mountainous Range.

Authors and Affiliations

Ghulam Hussain Dars, Muhammad Reza Najafi, Abdul Latif Qureshi

Keywords

Related Articles

Reduction of Cracking and Shrinkage in Compressed Clay Beams during Drying

Uncontrolled evaporation of moisture from compressed clay beams can cause surface cracks, resulting in reduction of strength. This paper presents various treatments applied to clay beams during the process of casting, co...

Handwritten Sindhi Character Recognition Using Neural Networks

OCR (OpticalCharacter Recognition) is a technology in which text image is used to understand and write text by machines. The work on languages containing isolated characters such as German, English, French and others is...

Automated Generation of OCL Constraints: NL based Approach vs Pattern Based Approach

This paper presents an approach used for automated generations of software constraints. In this model, the SBVR (Semantics of Business Vocabulary and Rules) based semi-formal representation is obtained from the syntactic...

A Proposed Supergrid Model for National Transmission Network of Pakistan

Pakistan is facing a severe energy crisis of its time with significant generation deficit in recent years. The future plan shows hydro and thermal coal generation as major contributor and Wind power to replace Thermal-oi...

Monte Carlo Simulation and Modeling of Schedule, Cost and Risks of Dasu Hydropower Project

HPP (Hydropower Projects) are very complex and risky in nature. For HPP, it is extremely important not only to identify risks but also to adopt proper mitigation measure to complete the project with in defined schedule a...

Download PDF file
  • EP ID EP183104
  • DOI 10.22581/muet1982.1702.16
  • Views 122
  • Downloads 0

How To Cite

Ghulam Hussain Dars, Muhammad Reza Najafi, Abdul Latif Qureshi (2017). Assessing the Impacts of Climate Change on Future Precipitation Trends Based on Downscaled CMIP5 Simulations Data. Mehran University Research Journal of Engineering and Technology, 36(2), 385-394. https://europub.co.uk/articles/-A-183104