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An ultrahigh-resolution E3SM land model simulation framework and its first application to the Seward Peninsula in Alaska

Journal Article · · Journal of Computational Science
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  1. Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
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The availability of supercomputers and state-of-science datasets has made it possible to conduct large-scale land simulations at an ultrahigh-resolution. This study reported a computational framework for land surface simulation using the E3SM land model (ELM) at an unprecedented resolution (1 km x 1 km gridcell). The ultrahigh-resolution ELM (uELM) simulation framework includes three parts: (1) high-resolution atmospheric forcing and surface properties dataset generation, (2) massive gridcell-based simulation, and (3) large-scale simulation results analysis. Additionally, we implemented the uELM simulation framework and completed the first 1 km x 1 km terrestrial ecosystem simulation (from 1850 to 2014) over the Seward Peninsula in Alaska (78,000 km2). The experiment contained two phases: a spin-up simulation and a transient simulation, and required five weeks of calculations using 320 cores in a 44-node Linux HPC computer. It created approximately 1.3 TB of data from the transient simulation alone (1850 - present). We selected sample results (monthly and daily simulation outputs) to illustrate the temporal and spatial variations of several variables in high-latitude Arctic ecosystems’ water, energy, and carbon cycles. At last, we summarized the lessons learned and proposed new developments for full-scale uELM simulations over the entire North American continent (approximately 22,000,000 km2).

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
2001373
Journal Information:
Journal of Computational Science, Journal Name: Journal of Computational Science Vol. 73; ISSN 1877-7503
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

References (16)

The Impact of Parametric Uncertainties on Biogeochemistry in the E3SM Land Model journal February 2018
Ecosystem model spin-up: Estimating steady state conditions in a coupled terrestrial carbon and nitrogen cycle model journal November 2005
A Web-based Visual Analytic Framework for Understanding Large-scale Environmental Models: A Use Case for The Community Land Model journal January 2017
GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production journal October 2013
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The International Land Model Benchmarking (ILAMB) System: Design, Theory, and Implementation journal November 2018
The DOE E3SM Coupled Model Version 1: Overview and Evaluation at Standard Resolution journal July 2019
An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications journal July 2019
Gridded daily weather data for North America with comprehensive uncertainty quantification journal July 2021
Toward Ultrahigh-Resolution E3SM Land Modeling on Exascale Computers journal November 2022
The Circumpolar Arctic vegetation map journal February 2005
Simulation of Global Land Surface Conditions from 1948 to 2004. Part I: Forcing Data and Evaluations journal October 2006
Incremental Correction for the Dynamical Downscaling of Ensemble Mean Atmospheric Fields journal September 2013
Vectorizing the Community Land Model journal August 2005
Quality Assessment of PROBA-V LAI, fAPAR and fCOVER Collection 300 m Products of Copernicus Global Land Service journal March 2020
Efficient surrogate modeling methods for large-scale Earth system models based on machine-learning techniques journal January 2019

Figures / Tables (19)

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Related Subjects

54 ENVIRONMENTAL SCIENCES
Daymet
E3SM land model
high-latitude ecosystem
land simulation
ultrahigh-resolution