Simulation of daily precipitation over high-latitude and high-elevation regions using the statistical downscaling technique
Title: Simulation of daily precipitation over high-latitude and high-elevation regions using the statistical downscaling technique
SNIC Project: SNIC 2019/7-80
Project Type: SNIC Small Compute
Principal Investigator: Lianyi Guo <lianyi.guo@gu.se>
Affiliation: Göteborgs universitet
Duration: 2019-10-11 – 2020-11-01
Classification: 10501
Keywords:

Abstract

The 2015 Paris Agreement proposes limiting the global warming to below 2°C above the pre-industrial and pursuing efforts to limit it to 1.5°C. In 2018, the special report on impacts of global warming of 1.5°C issued by Intergovernmental Panel on Climate Change (IPCC) shows that risks from heavy precipitation events are projected to be higher at 2°C compared to 1.5°C of global warming in northern hemisphere high-latitude and/or high-elevation regions. However, very few observational stations exist over these regions, and Global Climate Model (GCM) generally fails to reproducing daily precipitation due to its relatively coarse resolution. Therefore, downscaling techniques are indispensable to transform outputs of GCM to reliable regional climate information. To do so, the statistical downscaling approach can be very appropriate, in particular, for simulating daily precipitation and with multiple realisations. In this project, daily precipitation from multiple GCMs or even Regional Climate Models (RCM) is downscaled using the statistical downscaling technique. Successfully carry out this project will provide reliable high-resolution daily precipitation datasets over high-latitude and high-elevation region under the global warming of 1.5 and 2 degree.