Understanding climate and terrestrial ecosystem responses to El Niño-Southern Oscillation
Title: Understanding climate and terrestrial ecosystem responses to El Niño-Southern Oscillation
DNr: NAISS 2024/4-2
Project Type: NAISS Large Storage
Principal Investigator: Zhengyao Lu <zhengyao.lu@nateko.lu.se>
Affiliation: Lunds universitet
Duration: 2025-01-01 – 2025-07-01
Classification: 10501
Homepage: https://portal.research.lu.se/en/projects/understanding-climate-and-terrestrial-ecosystem-responses-to-summ-2
Keywords:

Abstract

The large storage (100 000 GB, 6 million files) I apply for will be used to store and post-process the model output for EC-Earth global climate simulations. The main computation resources will be provided by NAISS Large Compute project S-CMIP (NAISS 2024/1-12) which I am involved. Note that I am already a PI of a medium storage project (NAISS 2024/6-168), and I'd like to incorporate this large storage with that medium storage (and keep the directory name "solarpark"), as both projects deal with similar Earth system model (ESM) output. Supported by VR starting grant project "Understanding climate and terrestrial ecosystem responses to 'summer El Niño'", as a project PI, I will carry out a set of ESM simulations to investigate the shift in the onset and departure of El Niño phases and the global impacts that result from this shift. In particular, I will 1) quantify the impacts of the summer El Niño events on the global climate in model simulations, the changes in the primary El Niño teleconnection patterns, related extreme weather (including wildfire occurrence) and El Niño forcing of global monsoon. 2) investigate how the terrestrial ecosystem responds to these summer El Niño climate anomalies, and to understand the year-to-year variability of the global-scale vegetation distribution and associated terrestrial carbon cycling. Using the advanced Earth System Model (ESM) EC-Earth, I will perform and analyze the numerical simulations to fill this knowledge gap and to quantify the responses in climate regimes and ecosystem changes to different types of El Niño. The results will provide new scientific information to better predict and mitigate the damages for increasingly strong and persistent El Niño in a future world.