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Development of Integrated Land Simulator

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

2020Progress in Earth and Planetary Science24 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Benchmark (surveying)ScalabilityComputer scienceSimulationLand use, land-use change and forestryFloodplainLand useScale (ratio)Surface runoffSimulation modelingClimate modelRunoff modelMacroFlood mythEnvironmental scienceClimate changeHydrology (agriculture)Civil engineeringEngineeringGeologyMachine learningPhysicsQuantum mechanicsTheologyOceanographyDatabasePhilosophyEconomicsBiologyWatershedProgramming languageGeodesyGeotechnical engineeringMicroeconomicsEcologyHydrology and Watershed Management StudiesPrecipitation Measurement and AnalysisMeteorological Phenomena and Simulations
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