Title: Dynamic wetland scheme in a WRF-NoahMP-Wetland simulation in the Prairie Pothole Region
Citation: Zhang, Z. (2021, June 3). NoahMP-Wetland. Retrieved from osf.io/nckxy
Study Site: Prairie Pothole Region
Purpose: Wetlands are important ecosystems—they provide vital hydrological and ecological services such as regulating floods, storing carbon, and providing wildlife habitat. The ability to simulate their spatial extents and hydrological processes is important for valuing wetlands' function. The purpose of this study is to dynamically represent the spatial extents and hydrological processes of wetlands and investigate their feedback to regional climate in the Prairie Pothole Region (PPR) of North America, where a large number of wetlands exist. In this study, we incorporated a wetland scheme into the Noah-MP land surface model with two major modifications: (a) modifying the subgrid saturation fraction for spatial wetland extent and (b) incorporating a dynamic wetland storage to simulate hydrological processes. This scheme was evaluated at a fen site in central Saskatchewan, Canada and applied regionally in the PPR with 13-year climate forcing produced by a high-resolution convection-permitting model.
Abstract: This directory contains the post-processed data from a WRF-NoahMP-Wetland simulation in the Prairie Pothole Region.
There are three different folders: single-point, offline, and coupled. The single-point folder is for the single-point NoahMP simulations conducted at the Fen site. The offline folder is for offline simulations using the CONUS WRF forcing in the PPR region. The coupled folder is for coupled Noah-MP Wetland and WRF model for regional climate simulations for the summers of 2005, 2006, and 2007.
The static geographic informations are provided as regridded GIEMS surface water inundation (Fsatmx) and aggregated depressional capacity (Wcap) in the PPR region.
Supplemental Information Summary: Further inquiry of the data, please contact: Dr. Yanping Li (yanping.li@usask.ca) or Zhe Zhang (zhe.zhang@usask.ca).
Research:
Further Info: Zhang, Z., Chen, F., Barlage, M., Bortolotti, L. E., Famiglietti, J., Li, Z., et al. (2022). Cooling effects revealed by modeling of wetlands and land atmosphere interactions. Water Resources Research, 58, e2021WR030573. https://doi.org/10.1029/2021WR030573
Status: Complete
Keywords:
meteorology,
modeling,
remote sensing,
Peat chemistry,
Soil,
Geographical coordinates: North: 54.61, South: 49.06 East: -101.41 West: -115.69
Bounding Temporal Extent: Start Date: 1992-01-01, End
Date: 2015-12-31
