Ziemer Corinna 0000-0002-6666-9861 Jasor Gary Wacker Ulrike ulrike.wacker@awi.de https://www.awi.de/en/about-us/organisation/staff/single-view/ulrike-wacker.html 0000-0002-0637-8130 Beheng Klaus D Polifke Wolfgang 0000-0001-7058-6498 2017 Model results, link to archive file dataset https://doi.org/10.1594/PANGAEA.875592 2017-05-22T10:25:45 Ziemer Corinna 0000-0002-6666-9861 Jasor Gary Wacker Ulrike ulrike.wacker@awi.de https://www.awi.de/en/about-us/organisation/staff/single-view/ulrike-wacker.html 0000-0002-0637-8130 Beheng Klaus D Polifke Wolfgang 0000-0001-7058-6498 2014 Quantitative comparison of presumed-number-density and quadrature moment methods for the parameterisation of drop sedimentation journal article Meteorologische Zeitschrift 23(4) https://doi.org/10.1127/0941-2948/2014/0564 411-423 In numerical weather prediction models, parameterisations are used as an alternative to spectral modelling. One type of parameterisations are the so-called methods of moments. In the present study, two different methods of moments, a presumed-number-density-function method with finite upper integration limit and a quadrature method, are applied to a one-dimensional test case ('rainshaft') for drop sedimentation. The results are compared with those of a reference spectral model. An error norm is introduced, which is based on several characteristic properties of the drop ensemble relevant to the cloud microphysics context. This error norm makes it possible to carry out a quantitative comparison between the two methods. It turns out that the two moment methods presented constitute an improvement regarding two-moment presumed-number-density-function methods from literature for a variety of initial conditions. However, they are excelled by a traditional three-moment presumed-number-density-function method which requires less computational effort. Comparisons of error scores and moment profiles reveal that error scores alone should not be taken for a comparison of parameterisations, since moment profile characteristics can be lost in the integral value of the error norm. not specified AWI_PolarMet Polar Meteorology @ AWI https://www.awi.de/en/science/climate-sciences/atmospheric-physics/polar-meteorology.html Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven AWI https://www.awi.de/ https://ror.org/032e6b942 39.1 CC-BY-3.0 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/ Data are protected on request of the author. The author is no longer at AWI. Please contact info@pangaea.de for access. supplement citable author61758 author61793 author61802 author61803 author61804 inst32 journal11153 license101 project4236 ref90742 topotype1