Supplementary information for the poster V-5 "Land-Atmosphere Coupling Among HI-SCALE LES Cases: Impacts of Data-Assimilated Soil Initial Conditions"

authors: Koichi Sakaguchi, Sheng-Lun Tai, Brian Gaudet, Zhao Yang, Colleen Kaul, Heng Xiao, Larry Berg, and Jerome Fast

Contact: Koichi.Sakaguchi@pnnl.gov


Abstract

Previous investigations of shallow-to-deep convection on August 30 during the Holistic Interactions of Shallow Clouds, Aerosols and Land Ecosystems (HI-SCALE) field campaign suggested a strong coupling between the land surface and cloud populations over the ARM SGP site, involving secondary circulations at scales from 2.5 to 9 km. However, questions remain regarding the realism of the simulated surface flux heterogeneity and scales of variabilities in the forcing data, and possible nonrepresentativeness of the single day studied. To address the remaining questions, Large Eddy Simulations (LES) are being produced for several new cases during HI-SCALE. Preliminary simulations for the first three new cases –a shallow-cumulus day in the spring, a shallow-cumulus day in the summer, and a clear day in the summer– are being analyzed in comparison with the August 30 case and in-situ observations. Those cases cover a wide range of conditions in the soil moisture–convection feedback diagram by Findel and Eltahir. Furthermore, we seek to 1) provide the LES with initial soil state with realistic scale of variability and 2) have the model represent realistic pathways from the soil to the atmosphere, which include soil hydrology and plant physiology. Those conditions are not always met for LES. For 1), we are exploring several soil moisture datasets, including a kilometer scale land-data assimilation system (see the poster #3-41 by Tai et al.). For 2), we are testing the NoahMP model available in the Weather Research and Forecasting (WRF) model to leverage its more detailed treatment of the terrestrial hydrology and plant physiology compared to the Noah model (see the poster #3-61 by Yang et al.).

This research is supported by the ICLASS SFA, Jerome Fast, PI.

Model

WRF version 4.4.0


Experiments

  • Table 1


Analysis

Spectral analysis

  • Two-dimensional Discrete Cosine Transform


Reference list

  • Denis, B., Côté, J., & Laprise, R. (2002). Spectral decomposition of two-dimensional atmospheric fields on limited-area domains using the discrete cosine transform (DCT). Monthly Weather Review, 130(7), 1812–1829. https://doi.org/10.1175/1520-0493(2002)130<1812:SDOTDA>2.0.CO;2

  • Fast, J. D., Berg, L. K., Feng, Z., Mei, F., Newsom, R., Sakaguchi, K., & Xiao, H. (2019). The Impact of Variable Land-Atmosphere Coupling on Convective Cloud Populations Observed During the 2016 HI-SCALE Field Campaign. Journal of Advances in Modeling Earth Systems, 11(8), 2629–2654. https://doi.org/10.1029/2019MS001727

  • Findell, K. L., & Eltahir, E. A. B. (2003). Atmospheric controls on soil moisture-boundary layer interactions. Part I: Framework development. Journal of Hydrometeorology, 4(3), 552–569. https://doi.org/10.1175/1525-7541(2003)004<0552:ACOSML>2.0.CO;2

  • Ochsner, T. E., Linde, E., Haffner, M., & Dong, J. (2019). Mesoscale Soil Moisture Patterns Revealed Using a Sparse In Situ Network and Regression Kriging. Water Resources Research, 55(6), 4785–4800. https://doi.org/10.1029/2018WR024535