U.S. Department of Energy Office of Biological and Environmental Research

BER Research Highlights

New Mathematical Method Uses Land-Atmosphere Interface Observations to Improve Land Model Hydrology Simulations
Published: December 10, 2013
Posted: March 27, 2014

The exchange of water and energy between the atmosphere and land is among the most uncertain aspects of climate modeling. For example, when rain falls on the land, it is not known how much of that water evaporates back into the atmosphere and how much gets carried by groundwater to rivers and the ocean. The answer to this and similar questions could be estimated using climate models, but these models have numerous uncertain variables or “parameters” that must be adjusted based on what is observed in different regions of the Earth. One way to adjust these parameters is to run the model repeatedly, each time adjusting the parameters individually until a solution that matches observations is found. It is possible, however, that a different set of solutions would also match observations. New mathematically sophisticated “inverse” solutions are now being developed, in which a set of data can simultaneously and rapidly constrain a set of model parameters. This can be a difficult approach because there may be more than one solution, and some solutions may not be physically realistic. Therefore, some solution assumptions and constraints are required to obtain a realistic solution. A team led by U.S. Department of Energy researchers at Pacific Northwest National Laboratory has developed a new inversion method that includes enough constraint for effectively improving the Community Land Model under different climate and environmental conditions. The team evaluated inversion methodologies at select field sites based on global sensitivity analyses performed in previous studies. They found significant improvements in the model simulations that better match the observed heat flux and runoff by using the estimated parameters compared to using the default parameter values. Improvements in heat flux were found especially in areas with strong energy and water constraints.

Reference: Sun, Y., Z. Hou, M. Huang, F. Tian, and L. R. Leung. 2013. “Inverse Modeling of Hydrologic Parameters Using Surface Flux and Runoff Observations in the Community Land Model,” Hydrology and Earth System Sciences 17, 4995-5011. DOI: 10.5194/hess-17-4995-2013. (Reference link)

Contact: Dorothy Koch, SC-23.1, (301) 903-0105
Topic Areas:

  • Research Area: Earth and Environmental Systems Modeling

Division: SC-23.1 Climate and Environmental Sciences Division, BER


BER supports basic research and scientific user facilities to advance DOE missions in energy and environment. More about BER

Recent Highlights

Aug 24, 2019
New Approach for Studying How Microbes Influence Their Environment
A diverse group of scientists suggests a common framework and targeting of known microbial processes [more...]

Aug 08, 2019
Nutrient-Hungry Peatland Microbes Reduce Carbon Loss Under Warmer Conditions
Enzyme production in peatlands reduces carbon lost to respiration under future high temperatures. [more...]

Aug 05, 2019
Amazon Forest Response to CO2 Fertilization Dependent on Plant Phosphorus Acquisition
AmazonFACE Model Intercomparison. The Science Plant growth is dependent on the availabi [more...]

Jul 29, 2019
A Slippery Slope: Soil Carbon Destabilization
Carbon gain or loss depends on the balance between competing biological, chemical, and physical reac [more...]

Jul 15, 2019
Field Evaluation of Gas Analyzers for Measuring Ecosystem Fluxes
How gas analyzer type and correction method impact measured fluxes. The Science A side- [more...]

List all highlights (possible long download time)