Quantifies the heat and moisture entrainment fluxes at the top of the boundary layer, values that are incredibly difficult to quantify.
The Mixing Diagram approach is very powerful because these variables can be readily computed from observations and models enabling direct comparisons. This allows for tracking model development and comparing different models and reanalysis datasets against observations within the context of land-atmosphere coupling. See Figure 15 in Santanello et al. (2013) and Santanello et al. (2015).
The correlation and slope of the evaporative fraction (EF) and boundary layer height (PBL) relationship can be used to test inherent model behavior between surface fluxes and boundary growth. For example, if there is a strong correlation and slope between EF and PBL then boundary layer growth would likely be strongly tied to surface flux variability. This type of analysis can be calculated for observations and model output. See Figures 3 and 4 in Santanello et al. (2015).
2-meter specific humidity
surface latent heat flux
surface sensible heat flux
boundary layer height during the day.
For more precise calculations that include horizontal advection, wind speed (u and v components) and upwind specific humidity and temperature are required. This precise advection calculation is currently not included in the CoMeT, but could be added in future using center differencing.
Prototype Subroutine Call
How to Calculate
Joseph A. Santanello Jr., Christa D. Peters-Lidard, Sujay V. Kumar, Charles Alonge, and Wei-Kuo Tao, 2009: A Modeling and Observational Framework for Diagnosing Local Land–Atmosphere Coupling on Diurnal Time Scales. J. Hydrometeor, 10, 577–599. doi:10.1175/2009JHM1066.1
Joseph A. Santanello Jr., Christa D. Peters-Lidard, and Sujay V. Kumar, 2011: Diagnosing the Sensitivity of Local Land–Atmosphere Coupling via the Soil Moisture–Boundary Layer Interaction. J. Hydrometeor, 12, 766–786. doi: 10.1175/JHM-D-10-05014.1  Detailed Evaluation
Joseph A. Santanello Jr., Christa D. Peters-Lidard, Aaron Kennedy, and Sujay V. Kumar, 2013: Diagnosing the Nature of Land–Atmosphere Coupling: A Case Study of Dry/Wet Extremes in the U.S. Southern Great Plains. J. Hydrometeor, 14, 3–24. doi: 10.1175/JHM-D-12-023.1
Joseph A. Santanello Jr., Joshua Roundy, and Paul A. Dirmeyer, 2015: Quantifying the Land–Atmosphere Coupling Behavior in Modern Reanalysis Products over the U.S. Southern Great Plains. J. Climate, 28, 5813–5829. doi: 10.1175/JCLI-D-14-00680.1