气候变化领域集成服务门户(CCPortal): High-resolution fully coupled atmospheric-hydrological modeling: A cross-compartment regional water and energy cycle evaluation

CCPortal

DOI	10.5194/hess-24-2457-2020
	High-resolution fully coupled atmospheric-hydrological modeling: A cross-compartment regional water and energy cycle evaluation
	Fersch B.; Senatore A.; Adler B.; Arnault J.; Mauder M.; Schneider K.; Völksch I.; Kunstmann H.
发表日期	2020
ISSN	1027-5606
起始页码	2457
结束页码	2481
卷号	24 期号:5
英文摘要	The land surface and the atmospheric boundary layer are closely intertwined with respect to the exchange of water, trace gases, and energy. Nonlinear feedback and scaledependent mechanisms are obvious by observations and theories. Modeling instead is often narrowed to single compartments of the terrestrial system or bound to traditional viewpoints of definite scientific disciplines. Coupled terrestrial hydrometeorological modeling systems attempt to overcome these limitations to achieve a better integration of the processes relevant for regional climate studies and local-area weather prediction. This study examines the ability of the hydrologically enhanced version of the Weather Research and Forecasting model (WRF-Hydro) to reproduce the regional water cycle by means of a two-way coupled approach and assesses the impact of hydrological coupling with respect to a traditional regional atmospheric model setting. It includes the observation-based calibration of the hydrological model component (offline WRF-Hydro) and a comparison of the classic WRF and the fully coupled WRFHydro models both with identically calibrated parameter settings for the land surface model (Noah-Multiparametrization; Noah-MP). The simulations are evaluated based on extensive observations at the Terrestrial Environmental Observatories (TERENO) Pre-Alpine Observatory for the Ammer (600 km2) and Rott (55 km2) river catchments in southern Germany, covering a 5-month period (June-October 2016). The sensitivity of seven land surface parameters is tested using the Latin-Hypercube-One-factor-At-a-Time (LH-OAT) method, and six sensitive parameters are subsequently optimized for six different subcatchments, using the modelindependent Parameter Estimation and Uncertainty Analysis software (PEST). The calibration of the offline WRF-Hydro gives Nash-Sutcliffe efficiencies between 0.56 and 0.64 and volumetric efficiencies between 0.46 and 0.81 for the six subcatchments. The comparison of the classic WRF and fully coupled WRF-Hydro models, both using the calibrated parameters from the offline model, shows only tiny alterations for radiation and precipitation but considerable changes for moisture and heat fluxes. By comparison with TERENO Pre- Alpine Observatory measurements, the fully coupled model slightly outperforms the classic WRF model with respect to evapotranspiration, sensible and ground heat flux, the nearsurface mixing ratio, temperature, and boundary layer profiles of air temperature. The subcatchment-based water budgets show uniformly directed variations for evapotranspiration, infiltration excess and percolation, whereas soil moisture and precipitation change randomly. © Author(s)2020.
语种	英语
scopus关键词	Atmospheric boundary layer; Budget control; Calibration; Catchments; Evapotranspiration; Heat flux; Nonlinear feedback; Observatories; Software testing; Soil moisture; Solvents; Surface measurement; Uncertainty analysis; Environmental observatories; Hydrological modeling; Land surface modeling; Land surface parameters; Precipitation change; Scientific discipline; Volumetric efficiency; Weather research and forecasting models; Weather forecasting; atmospheric modeling; boundary layer; hydrological cycle; hydrological modeling; hydrometeorology; land surface; soil moisture; trace gas; weather forecasting; Germany
来源期刊	Hydrology and Earth System Sciences
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/159408
作者单位	Fersch, B., Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany; Senatore, A., Department of Environmental Engineering, University of Calabria, Rende, Cosenza, Italy; Adler, B., Institute of Meteorology and Climate Research (IMK-TRO), Karlsruhe Institute of Technology, Karlsruhe, Germany; Arnault, J., Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany; Mauder, M., Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany; Schneider, K., Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany; Völksch, I., Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany; Kunstmann, H., Institute of Meteorology and Climate Research (IMK-IFU), Karlsruhe Institute of Technology...
推荐引用方式 GB/T 7714	Fersch B.,Senatore A.,Adler B.,et al. High-resolution fully coupled atmospheric-hydrological modeling: A cross-compartment regional water and energy cycle evaluation[J],2020,24(5).
APA	Fersch B..,Senatore A..,Adler B..,Arnault J..,Mauder M..,...&Kunstmann H..(2020).High-resolution fully coupled atmospheric-hydrological modeling: A cross-compartment regional water and energy cycle evaluation.Hydrology and Earth System Sciences,24(5).
MLA	Fersch B.,et al."High-resolution fully coupled atmospheric-hydrological modeling: A cross-compartment regional water and energy cycle evaluation".Hydrology and Earth System Sciences 24.5(2020).