Data and Model Integration for High-Resolution E3SM Land Model in Northern High-Latitude Regions: A Demonstration at the NGEE-Arctic Seward Peninsula Sites
Fengming Yuan1* (firstname.lastname@example.org), Benjamin Sulman1, Amy Breen2, Verity Salmon1, Colleen Iversen1, Jitendra Kumar1, Shih-Chieh Kao1, Michele Thornton1, Teklu Tesfa3, Michael Brunke4, Daniel Ricciuto1, Dali Wang1 (email@example.com), Peter Thornton1 (firstname.lastname@example.org), Stan Wullschleger1, NGEE-Arctic Data Team
1Climate Change Science Institute, Environmental Science Division, Oak Ridge National Laboratory, Oak Ridge, TN; 2International Arctic Research Center, University of Alaska–Fairbanks, AK; 3Pacific Northwest National Laboratory, Richland, WA; 4University of Arizona–Tucson, AZ
In the high-latitude Arctic, modeling land surface processes (e.g., snow process, phenology, and consequent soil and plant responses) is a great challenge in the Earth system, mostly due to a highly heterogeneous surface across scales and the lack of consistent, reliable data in both space and time series. In this study, researchers present an integrative data and model workflow to synchronize inputs and driving forcings from varied sources for offline high-resolution (1 km×1 km or finer) land surface simulations using the Energy Exascale Earth System Model (E3SM)’s Land Model (ELM).
As an example, this workflow is applied over the Seward Peninsula, AK, covering NGEE-Arctic Intensive Sites, at either 100 m × 100 m or 1 km × 1 km spatial resolution. Offline ELM is driven by GSWP3 (Global Soil Wetness Project Phase 3) v2 forcing data spatially downscaled to 1 km×1 km with Daymet v4 from 1980 to 2014 (https://daymet.ornl.gov/). High-resolution surface properties include: (1) topography (elevation, slope, aspect) at a 5 m × 5 m resolution (https://www.pgc.umn.edu/data/arcticdem/); (2) 3 min × 3min soil thickness (https://daac.ornl.gov/SOILS/guides/Global_Soil_Regolith_Sediment.html); (3) 3 min × 3 min lake and glacier fractions; and (4) 250 m × 250 m soil clay, sand, and organic matter content from SoilGrids (https://soilgrids.org). Furthermore, a newly developed arctic plant function type (PFT) dataset, derived from field investigations and remote sensing, is incorporated as well. This PFT data product is tightly associated with model development and its parameterization in targeted terrestrial ecosystems (Sulman et al. 2021).
The integrated data and ELM are in testing and evaluating, and preliminary results show reasonable simulations in the case study sites. After further and careful assessment, workflow would be useful in ELM application for pan-Arctic region or others.
Sulman, B. N., et al. 2021. “Integrating Arctic Plant Functional Types in a Land Surface Model Using Above- and Belowground Field Observations,” Journal of Advances in Modeling Earth Systems, 13(4), e2020MS002396. DOI:10.1029/2020MS002396