Perspectives on the Future of Land Surface Models and the Challenges of Representing Complex Terrestrial Systems
Abstract
Land surface models (LSMs) are a vital tool for understanding, projecting, and predicting the dynamics of the land surface and its role within the Earth system, under global change. Driven by the need to address a set of key questions, LSMs have grown in complexity from simplified representations of land surface biophysics to encompass a broad set of interrelated processes spanning the disciplines of biophysics, biogeochemistry, hydrology, ecosystem ecology, community ecology, human management, and societal impacts. This vast scope and complexity, while warranted by the problems LSMs are designed to solve, has led to enormous challenges in understanding and attributing differences between LSM predictions. Meanwhile, the wide range of spatial scales that govern land surface heterogeneity, and the broad spectrum of timescales in land surface dynamics, create challenges in tractably representing processes in LSMs. We identify three “grand challenges” in the development and use of LSMs, based around these issues: managing process complexity, representing land surface heterogeneity, and understanding parametric dynamics across the broad set of problems asked of LSMs in a changing world. In this review, we discuss progress that has been made, as well as promising directions forward, for each of these challenges.
- Authors:
-
[1];
[2]
- Climate and Global Dynamics DivisionNational Center for Atmospheric Research Boulder CO USA; Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique Toulouse France
- Climate and Ecosystem Sciences DivisionLawrence Berkeley National Lab Berkeley CA USA
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER); National Science Foundation (NSF)
- OSTI Identifier:
- 1615411
- Alternate Identifier(s):
- OSTI ID: 1615412; OSTI ID: 1635186
- Grant/Contract Number:
- AC02-05CH11231; 1852977
- Resource Type:
- Published Article
- Journal Name:
- Journal of Advances in Modeling Earth Systems
- Additional Journal Information:
- Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 12 Journal Issue: 4; Journal ID: ISSN 1942-2466
- Publisher:
- American Geophysical Union (AGU)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; land surface models; terrestrial biosphere; tiling scheme; heterogeneity; complexity; parametric dynamics
Citation Formats
Fisher, Rosie A., and Koven, Charles D. Perspectives on the Future of Land Surface Models and the Challenges of Representing Complex Terrestrial Systems. United States: N. p., 2020.
Web. doi:10.1029/2018MS001453.
Fisher, Rosie A., & Koven, Charles D. Perspectives on the Future of Land Surface Models and the Challenges of Representing Complex Terrestrial Systems. United States. https://doi.org/10.1029/2018MS001453
Fisher, Rosie A., and Koven, Charles D. Wed .
"Perspectives on the Future of Land Surface Models and the Challenges of Representing Complex Terrestrial Systems". United States. https://doi.org/10.1029/2018MS001453.
@article{osti_1615411,
title = {Perspectives on the Future of Land Surface Models and the Challenges of Representing Complex Terrestrial Systems},
author = {Fisher, Rosie A. and Koven, Charles D.},
abstractNote = {Land surface models (LSMs) are a vital tool for understanding, projecting, and predicting the dynamics of the land surface and its role within the Earth system, under global change. Driven by the need to address a set of key questions, LSMs have grown in complexity from simplified representations of land surface biophysics to encompass a broad set of interrelated processes spanning the disciplines of biophysics, biogeochemistry, hydrology, ecosystem ecology, community ecology, human management, and societal impacts. This vast scope and complexity, while warranted by the problems LSMs are designed to solve, has led to enormous challenges in understanding and attributing differences between LSM predictions. Meanwhile, the wide range of spatial scales that govern land surface heterogeneity, and the broad spectrum of timescales in land surface dynamics, create challenges in tractably representing processes in LSMs. We identify three “grand challenges” in the development and use of LSMs, based around these issues: managing process complexity, representing land surface heterogeneity, and understanding parametric dynamics across the broad set of problems asked of LSMs in a changing world. In this review, we discuss progress that has been made, as well as promising directions forward, for each of these challenges.},
doi = {10.1029/2018MS001453},
journal = {Journal of Advances in Modeling Earth Systems},
number = 4,
volume = 12,
place = {United States},
year = {Wed Apr 01 00:00:00 EDT 2020},
month = {Wed Apr 01 00:00:00 EDT 2020}
}
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Figure 1: A schematic depiction of the evolution of land surface model process representation through time, representing the approximate timing of emergence of different model components as commonly employed features of Earth system models. Note that all modeling groups follow a different pathway and that this diagram is primarily intendedmore »
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- The Plant Journal, Vol. 101, Issue 4
Global variability in leaf respiration in relation to climate, plant functional types and leaf traits
journal, January 2015
- Atkin, Owen K.; Bloomfield, Keith J.; Reich, Peter B.
- New Phytologist, Vol. 206, Issue 2
Recent Changes in the ISBA‐CTRIP Land Surface System for Use in the CNRM‐CM6 Climate Model and in Global Off‐Line Hydrological Applications
journal, May 2019
- Decharme, Bertrand; Delire, Christine; Minvielle, Marie
- Journal of Advances in Modeling Earth Systems, Vol. 11, Issue 5
Tree level hydrodynamic approach for resolving aboveground water storage and stomatal conductance and modeling the effects of tree hydraulic strategy: Stomatal Conductance Parameterization
journal, July 2016
- Mirfenderesgi, Golnazalsadat; Bohrer, Gil; Matheny, Ashley M.
- Journal of Geophysical Research: Biogeosciences, Vol. 121, Issue 7
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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.