TY - JOUR
T1 - Development and testing of a fully-coupled subsurface-land surface-atmosphere hydrometeorological model
T2 - High-resolution application in urban terrains
AU - Talebpour, Mahdad
AU - Welty, Claire
AU - Bou-Zeid, Elie
N1 - Funding Information:
This work was supported by the Urban Water Innovation Network under National Science Foundation Cooperative Agreement #1444758. The simulations were conducted on the high-performance computing Cheyenne system (doi:https://doi.org/10.5065/D6RX99HX) provided by NCAR's Computational and Information Systems Laboratory and sponsored by National Science Foundation. We would like to acknowledge NCAR's staff computational and administrative support throughout this project. We would like to also acknowledge UMBC's unlimited storage on Google Drive which has helped manage our data. Transferring data between Google Drive and Cheyenne would not be possible without the Rclone project (https://rclone.org/). We are also grateful for helpful discussions with Michael Barnes, Mary Forrester, Mohammad Heidarinejad, Dan Li, Jiachuan Yang, Theodore Lim, Reed Maxwell, and Alimatou Seck.
Funding Information:
This work was supported by the Urban Water Innovation Network under National Science Foundation Cooperative Agreement #1444758 . The simulations were conducted on the high-performance computing Cheyenne system (doi: https://doi.org/10.5065/D6RX99HX ) provided by NCAR's Computational and Information Systems Laboratory and sponsored by National Science Foundation . We would like to acknowledge NCAR's staff computational and administrative support throughout this project. We would like to also acknowledge UMBC's unlimited storage on Google Drive which has helped manage our data. Transferring data between Google Drive and Cheyenne would not be possible without the Rclone project ( https://rclone.org/ ). We are also grateful for helpful discussions with Michael Barnes, Mary Forrester, Mohammad Heidarinejad, Dan Li, Jiachuan Yang, Theodore Lim, Reed Maxwell, and Alimatou Seck.
Publisher Copyright:
© 2021 Elsevier B.V.
PY - 2021/12
Y1 - 2021/12
N2 - To improve simulation of atmospheric-hydrological processes with shallow groundwater in urban areas, a new fully-coupled model was developed. The Weather Research and Forecasting (WRF) atmospheric model in the large-eddy-simulation (LES) mode, the Princeton Urban Canopy Model (PUCM), and the subsurface hydrological model ParFlow (PF) were linked (WRF-PUCM-PF). To evaluate the impact of coupling, model intercomparison was performed by application to a small watershed in suburban Baltimore, Maryland, USA, for scenarios of both homogeneous and heterogeneous geologic properties, using WRF-PUCM with and without the ParFlow component. Homogeneous scenarios isolated the impact of including terrestrial hydrological processes through ParFlow. In response to rain events, the homogeneous WRF-PUCM model output gained and retained a 40% greater amount of soil moisture (area-averaged) compared to the homogeneous WRF-PUCM-PF case. In heterogeneous scenarios, the WRF-PUCM model generated a 10-fold greater area-averaged soil moisture increase over the simulation period compared to the WRF-PUCM-PF case. The WRF-PUCM-PF model output, influenced by lateral hydrology and impervious surfaces, generated lower latent heat flux, resulting in half of the domain having higher land surface temperatures (2–10 °C), compared to the WRF-PUCM model. Overall, the WRF-PUCM-PF model provides a new tool to simulate urban physics and resolve finer urban microclimatic heterogeneity.
AB - To improve simulation of atmospheric-hydrological processes with shallow groundwater in urban areas, a new fully-coupled model was developed. The Weather Research and Forecasting (WRF) atmospheric model in the large-eddy-simulation (LES) mode, the Princeton Urban Canopy Model (PUCM), and the subsurface hydrological model ParFlow (PF) were linked (WRF-PUCM-PF). To evaluate the impact of coupling, model intercomparison was performed by application to a small watershed in suburban Baltimore, Maryland, USA, for scenarios of both homogeneous and heterogeneous geologic properties, using WRF-PUCM with and without the ParFlow component. Homogeneous scenarios isolated the impact of including terrestrial hydrological processes through ParFlow. In response to rain events, the homogeneous WRF-PUCM model output gained and retained a 40% greater amount of soil moisture (area-averaged) compared to the homogeneous WRF-PUCM-PF case. In heterogeneous scenarios, the WRF-PUCM model generated a 10-fold greater area-averaged soil moisture increase over the simulation period compared to the WRF-PUCM-PF case. The WRF-PUCM-PF model output, influenced by lateral hydrology and impervious surfaces, generated lower latent heat flux, resulting in half of the domain having higher land surface temperatures (2–10 °C), compared to the WRF-PUCM model. Overall, the WRF-PUCM-PF model provides a new tool to simulate urban physics and resolve finer urban microclimatic heterogeneity.
KW - Coupled atmosphere-land surface-subsurface modeling
KW - Large-eddy simulation
KW - Urban groundwater
KW - Urban hydrometeorology
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U2 - 10.1016/j.uclim.2021.100985
DO - 10.1016/j.uclim.2021.100985
M3 - Article
AN - SCOPUS:85115788800
SN - 2212-0955
VL - 40
JO - Urban Climate
JF - Urban Climate
M1 - 100985
ER -