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The Role of Soil Moisture and Surface and Subsurface Water Flows on Predictability of Convection

In: High Performance Computing in Science and Engineering '19

Author

Listed:
  • J. Arnault

    (Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU))

  • H. Kunstmann

    (Karlsruhe Institute of Technology (KIT), Institute for Meteorology and Climate Research (IMK-IFU))

Abstract

Since June 2018 we have further assessed the mechanism through which a more sophisticated treatment of terrestrial hydrological processes in a numerical weather prediction model potentially improves the predictability of convection. In order to achieve this, we have implemented the so-called soil-vegetation-atmospheric water tagging procedure in WRF and WRF-Hydro (Skamarock and Klemp in J Comp Phys 227:3465–3485, 2008 [3]; Gochis et al. in TheWRF-Hydro model technical description and users guide, version 3.0, NCAR Technical Document :120, 2015 [2]). This tagging procedure is used to track a source of water through the terrestrial and atmospheric water compartments in the model. The tagging enhanced versions of WRF and WRF-Hydro are named WRF-tag and WRF-Hydro-tag. A publication detailing the implementation of WRF-tag and WRF-Hydro-tag with an application case-study has been recently published in Water Resources Research (Arnault et al. in Water Resour Res 55:6217–6243 (2019) [1]). In particular, WRF-tag and WRF-Hydro-tag are applied to the case of a precipitation event in the Upper Danube river basin. A comparison between WRF-tag and WRF-Hydro-tag results allows to deduce the role of lateral terrestrial water flow on land-atmospheric water pathways, including precipitation.

Suggested Citation

  • J. Arnault & H. Kunstmann, 2021. "The Role of Soil Moisture and Surface and Subsurface Water Flows on Predictability of Convection," Springer Books, in: Wolfgang E. Nagel & Dietmar H. Kröner & Michael M. Resch (ed.), High Performance Computing in Science and Engineering '19, pages 493-499, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-66792-4_33
    DOI: 10.1007/978-3-030-66792-4_33
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