Abstract

The Nanjing University of Information Science and Technology (NUIST) Earth System Model version 3 (NESM v3) has been developed, aiming to provide a numerical modeling platform for cross-disciplinary earth system studies, project future Earth’s climate and environment changes, as well conduct subseasonal-to-seasonal prediction. In this report, I would like to share with you our experiences and lessons learnt during the model development in the past 5 years. I will describe the NESM v3 ‘s basic features and how the major improvements were made. I will also present model evaluations and demonstrate the v3 model’s fidelity and suitability to address the global climate variability and change issues. The pre-industrial (PI) experiment shows negligible trends in the net heat flux at the top of atmosphere and the Earth surface. The estimate radiative forcing of quadrupling carbon dioxide is about 7.24 Wm-2, yielding a climate sensitivity feedback parameter of -0.98 Wm-2K-1, and the equilibrium climate sensitivity is 3.69 K. The transient climate response from the 1% yr-1CO2(1pctCO2)increasing experiment is 2.16 K. The model’s performance on internal modes and responses to external forcing during the historical period will be presented. Remaining issues will be discussed.

Presenter Profile

Dr Bin Wang is Professor of Atmospheric Sciences at University of Hawaiiat Mānoa, USA. He specialises in Climate and Geophysical Fluid Dynamics. He was elected Fellow of AMS and AGU and received the Carl-Gustaf Rossby Research Medal. His publications are cited over 30,000 times with 98 papers having more than 100 citations each (Google Scholar).Professor Bin Wangis working to improve the understanding of a globally important atmospheric system, named the Madden-Julian Oscillation (MJO). This system has a profound impact on the weather in the tropics, and can even have significant impacts on extreme storm events including those witnessed in the US. While the MJO is a well-documented phenomenon, its origin is still yet to be understood on a scientific level. Prof Wang and his team are building upon existing theories on how it operates, and how to best simulate it in different geographical conditions.