Preprints
https://doi.org/10.5194/hess-2022-409
https://doi.org/10.5194/hess-2022-409
09 Jan 2023
 | 09 Jan 2023
Status: this discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.

A Study on the Fully Coupled Atmosphere-Land-Hydrology Process and Streamflow Simulations over the Source Region of the Yellow River

Yaling Chen, Jun Wen, Xianhong Meng, Qiang Zhang, Xiaoyue Li, and Ge Zhang

Abstract. The Source Region of the Yellow River (SRYR) is known as the "Water Tower of the Yellow River", which is the most important water conservation area in the upper reaches of the Yellow River. The streamflow of the SRYR makes an important contribution to the water resources in the Yellow River basin. Based on the Weather Research and Forecasting Model Hydrological modeling system (WRF-Hydro) model, by using meteorological, hydrological observations and reanalysis data, the key variables of the coupled atmosphere-land-hydrological processes over the SRYR during the 2013 rainy season (May–August) are analyzed, and the simulation results of the fully coupled WRF-Hydro with those of the standalone WRF are compared, whose aim is to assess the impact of hydrological coupling on the regional atmospheric model settings. The results show that the WRF-Hydro model has ability to depict the characteristics of streamflow over the SRYR with a Nash Efficiency Coefficient (NSE) of 0.44 during the calibration period from June 1st, 2012 to September 30th, 2012 and a NSE of 0.61 during the validation period from May 1st, 2013 to August 31st, 2013. Compared with the standalone WRF model, the fully coupled model tends to show better performance with respect to temperature, downward longwave radiation, downward shortwave radiation, latent heat, sensible heat and soil temperature and moisture. Although the wet bias of the coupled simulated precipitation slightly increases (2.51 mm vs. 2.50 mm) due to the consideration of lateral flow of soil water, the simulation results of the land-atmosphere water-heat exchange fluxes and soil heat fluxes are comparably improved. Compared with the observations, the mean Root Mean Square Error (RMSE) of latent and sensible heat is reduced to 32.27 W∙m-2 and 24.91 W∙m-2, and of surface soil temperature and moisture is reduced to 4.22 K and 0.06 m3/m3. Besides, the fully coupled model is able to capture the variation characteristics of streamflow with a NSE of 0.33, which indicates that the fully coupled WRF-Hydro model has great potential for characterizing coupled atmosphere-land-hydrological processes and streamflow simulation in the cold climatical and complex topographic regions.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Yaling Chen, Jun Wen, Xianhong Meng, Qiang Zhang, Xiaoyue Li, and Ge Zhang

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-409', Anonymous Referee #1, 03 Feb 2023
    • AC1: 'Reply on RC1', Jun Wen, 04 Feb 2023
  • RC2: 'Comment on hess-2022-409', Anonymous Referee #2, 12 Mar 2023
    • AC2: 'Reply on RC2', Jun Wen, 24 Mar 2023

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2022-409', Anonymous Referee #1, 03 Feb 2023
    • AC1: 'Reply on RC1', Jun Wen, 04 Feb 2023
  • RC2: 'Comment on hess-2022-409', Anonymous Referee #2, 12 Mar 2023
    • AC2: 'Reply on RC2', Jun Wen, 24 Mar 2023
Yaling Chen, Jun Wen, Xianhong Meng, Qiang Zhang, Xiaoyue Li, and Ge Zhang
Yaling Chen, Jun Wen, Xianhong Meng, Qiang Zhang, Xiaoyue Li, and Ge Zhang

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Short summary
In this research, the effects of climate change on land surface and water cycle processes and the feedback of land-hydrological process to precipitation over the Source Region of the Yellow River. We find that the coupled process improves the simulation results for temperature, radiation, water-heat exchange fluxes, and soil temperature and moisture, but slightly increases the wet bias of the precipitation and evapotranspiration due to the consideration of lateral flow.