Development of Integrated Land Simulator

Tomoko Nitta,Akira Takeshima,Takashi Arakawa,Misako Hatono,Kei Yoshimura

doi:10.1186/s40645-020-00383-7

Abstract

Accurate simulations of land processes are crucial for many purposes, such as climate simulation, weather, flood, and drought prediction, and climate change impact assessment studies. In this paper, we present a new land simulator called the Integrated Land Simulator (ILS). The ILS consists of multiple models that represent processes related to land (hereafter, referred to as “land models”). They are coupled by a general-purpose coupler, Jcup, and executed using the Multiple Program Multiple Data approach. Currently, ILS includes a physical land surface model, the Minimal Advanced Treatments of Surface Interaction and Runoff model, and a hydrodynamic model, the Catchment-based Macro-scale Floodplain model, and the inclusion of additional land models is planned. We conducted several test simulations to evaluate the computational speed and scalability and the basic physical performance of the ILS. The results will become a benchmark for further development.

Highlights

Humans live on land, which is one of the most influential elements of the Earth system in the phenomenon of climate change
When we changed the number of cores for MATSIRO while fixing the number of cores for CaMa-Flood and the I/O component, the simulation with one core takes approximately 9430 s, and the computational time decreases with the number of cores to approximately 100 s with 128 cores
4 Summary and conclusions The improvement of the land surface model is expected by the climate community and by society; there are two characteristics that are necessary for such a feat—preciseness and detailedness

Summary

Introduction

Humans live on land, which is one of the most influential elements of the Earth system in the phenomenon of climate change. Land surface and hydrological modeling communities have exerted considerable effort in this direction (e.g., van den Hurk et al 2011; Archfield et al 2015; Decharme et al 2019). There is a need to establish adaptation strategies for local municipalities (e.g., coastal fisheries, forestry, and water resources), and numerical experimental results of climate models are often used as reference. In such cases, the more precise and detailed

Methods

Results

Conclusion