U.S. Department of Energy

Pacific Northwest National Laboratory

Regional Climate

Weather Research and Forecasting Model
WRF is a mesoscale numerical weather prediction system used for many different kinds of atmospheric research. Created by a partnership spanning more than 150 governmental, academic, and private organizations worldwide and continually augmented and improved by the research community, the WRF model has been used to simulate regional climate for more than a decade.

Community Land Model
CLM is a community model that simulates simulates the biophysical, hydrological, and biogeochemical processes by which terrestrial ecoysystems affect, and are affected by, climate. In addition to being the land surface model used in RESM and CESM, CLM also provides the basis for much of PRIMA’s distributed water supply and demand capability. The Model for Scale-Adaptive River Transport, or MOSART, model has been coupled to CLM to simulate river dynamics. Several improvements and enhancements made to CLM through the PRIMA initiative have been included in the official release of CLM4.5.

Regional Ocean Modeling System
ROMS is a community ocean model used for a variety of applications. It includes several coupled component models for biogeochemical, bio-optical, sediment, and sea ice. The coupled WRF-ROMS model has been shown to produce skillful simulations of ocean barrier layers and their effects on tropical cyclone intensification.

POC: L. Ruby Leung


Tesfa TK, LR Leung, M Huang, H-Y Li, N Voisin, and MS Wigmosta. 2014. “Scalability of grid- and subbasin-based land surface modeling approaches for hydrologic simulations.” Journal of Geophysical Research: Atmospheres 119. Published Online March 27, 2014. DOI: 10.1002/2013JD020493.

Gao Y, LR Leung, J Lu, Y Liu, M Huang, and Y Qian. 2014. “Robust spring drying in the southwestern U.S. and seasonal migration of wet/dry patterns in a warmer climate.” Geophysical Research Letters 41(5):1745-1751. DOI: 10.1002/2014GL059562.

Leng G, M Huang, Q Tang, WJ Sacks, H Lei, and LR Leung. 2013. “Modeling the effects of irrigation on land surface fluxes and states over the conterminous United States: Sensitivity to input data and model parameters.” Journal of Geophysical Ressearch-Atmospheres 118(17):9789-9803. DOI: 10.1002/jgrd.50792.

Ke Y, LR Leung, M Huang, and H Li. 2013. “Enhancing the Representation of Subgrid Land Surface Characteristics in Land Surface Models.” Geoscientific Model Development 6(5):1609-1622. DOI: 10.5194/gmd-6-1609-2013.

Li H, MS Wigmosta, H Wu, M Huang, Y Ke, AM Coleman, and LR Leung. 2013. “A Physically Based Runoff Routing Model for Land Surface and Earth System Models.” Journal of Hydrometeorology 14(3):808-828. DOI: 10.1175/JHM-D-12-015.1.

Huang M, Z Hou, LR Leung, Y Ke, Y Liu, Z Fang, and Y Sun.2013. “Uncertainty Analysis of Runoff Simulations and Parameter Identifiability in the Community Land Model: Evidence from MOPEX Basins.” Journal of Hydrometeorology 14(6):1754-1772. DOI: 10.1175/JHM-D-12-0138.1.

Sun Y, Z Hou, M Huang, F Tian, and LYR Leung. 2013. “Inverse Modeling of Hydrologic Parameters Using Surface Flux and Runoff Observations in the Community Land Model.” Hydrology and Earth System Sciences 17(12):4995-5011. DOI: 10.5194/hess-17-4995-2013.

Ke Y, LR Leung, M Huang, AM Coleman, H Li, and MS Wigmosta. 2012. “Development of High Resolution Land Surface Parameters for the Community Land Model.” Geoscientific Model Development 5(6):1341-1362. DOI: 10.5194/gmd-5-1341-2012.

Hou Z, M Huang, LR Leung, G Lin, and DM Ricciuto. 2012. “Sensitivity of Surface Flux Simulations to Hydrologic Parameters Based on an Uncertainty Quantification Framework Applied to the Community Land Model.” Journal of Geophysical Research-Atmospheres 117:D15108. DOI: 10.1029/2012JD017521.

Li H, M Huang, M Wigmosta, Y Ke, A Coleman, LR Leung, A Wang, and DM Ricciuto. 2011. “Evaluating Runoff Simulations From the Community Land Model 4.0 Using Observations From Flux Towers and a Mountainous Watershed.” Journal of Geophysical Research-Atmospheres 116:D24120. DOI: 10.1029/2011JD016276.

The Regional Earth System Model, or RESM, provides dynamically downscaled climate information for other models in the PRIMA framework. RESM couples the Weather Research and Forecasting (WRF) atmospheric model, the Community Land Model (CLM), and the Regional Ocean Modeling System (ROMS) using the Community Earth System Model (CESM) flux coupler. RESM uses boundary conditions from global climate models or global reanalyses. For the initial PRIMA numerical experiments, RESM is being run over the conterminous United States at 20-kilometer resolution using boundary conditions from CESM under two different scenarios of global climate forcing.

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