Abstract

With the aim of improving the understanding of water exchanges in medium-scale catchments of northern China, the spatiotemporal characteristics of rainfall and several key water cycle elements e.g., soil moisture, evapotranspiration and generated runoff, were investigated using a fully coupled atmospheric-hydrologic modeling system by integrating the Weather Research and Forecasting model (WRF) and its terrestrial hydrologic component WRF-Hydro (referred to as the fully coupled WRF/WRF-Hydro). The stand-alone WRF model (referred to as WRF-only) is also used as a comparison with the fully coupled system, which was expected to produce more realistic simulations, especially rainfall, by allowing the redistribution of surface and subsurface water across the land surface. Six storm events were sorted by different spatial and temporal distribution types, and categorical and continuous indices were used to distinguish the applicability in space and time between WRF-only and the fully coupled WRF/WRF-Hydro. The temporal indices showed that the coupled WRF-Hydro could improve the time homogeneous precipitation, but for the time inhomogeneous precipitation, it might produce a larger false alarm than WRF-only, especially for the flash storm that occurred in July, 2012. The spatial indices showed a lower mean bias error in the coupled system, and presented an enhanced simulation of both space homogeneous and inhomogeneous storm events than WRF-only. In comparison with WRF-only, the fully coupled WRF/WRF-Hydro had a closer to the observations particularly in and around the storm centers. The redistributions fluctuation of spatial precipitation in the fully coupled system was highly correlated with soil moisture, and a low initial soil moisture could lead to a large spatial fluctuated range. Generally, the fully coupled system produced slightly less runoff than WRF-only, but more frequent infiltration and larger soil moisture. While terrestrial hydrologic elements differed with relatively small amounts in the average of the two catchments between WRF-only and the fully coupled WRF/WRF-Hydro, the spatial distribution of elements in the water cycle before and after coupling with WRF-Hydro was not consistent. The soil moisture, runoff and precipitation in the fully coupled system had a similar spatial trend, but evapotranspiration did not always display the same.

Highlights

  • Rainfall is an important driver of the water cycle and a key index of the change of weather system [1,2,3]

  • The presentation is divided into two parts: the first part is the analysis of different types of rainfall in time and space between Weather Research and Forecasting (WRF)-only and the fully coupled WRF/WRF-Hydro system according to relative error (RE), five spatiotemporal indices and the spatial distribution map of 24 hours accumulative rainfall; the second part is the temporal and spatial changes between soil moisture, runoff and evapotranspiration in the water cycle and their relationship with different types of rainfall

  • To enhance the understanding of the hydrometeorological conditions in semi-humid area of northern China, six rainfall events that occurred in two medium-scale catchments were sorted with different homogeneousness in space and time

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Summary

Introduction

Rainfall is an important driver of the water cycle and a key index of the change of weather system [1,2,3]. The development of climate models [10,11] has effectively linked the atmospheric, surface, and subsurface processes, and prolonged the foreseeing period of storm and flood forecasting. Even so, this is not sufficient to understand and predict how the complex components of the water cycle interact with the complexities of the landscape. The lateral water flow generated in the underground interaction and the redistribution of soil moisture cannot be fed back to the atmosphere

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