2014, Horváth, Ákos, Seethala, Chellappan, Deneke, Hartwig

We investigated the view angle dependence of domain mean Moderate Resolution Imaging Spectroradiometer (MODIS) liquid water path (LWP) and that of corresponding cloud optical thickness, effective radius, and liquid cloud fraction as proxy for plane-parallel retrieval biases. Independent Advanced Microwave Scanning Radiometer–EOS LWP was used to corroborate that the observed variations with sun-view geometry were not severely affected by seasonal/latitudinal changes in cloud properties. Microwave retrievals showed generally small (<10%) cross-swath variations. The view angle (cross-swath) dependence of MODIS optical thickness was weaker in backscatter than forward scatter directions and transitioned from mild ∩ shape to stronger ∪ shape as heterogeneity, sun angle, or latitude increased. The 2.2 µm effective radius variations always had a ∪ shape, which became pronounced and asymmetric toward forward scatter in the most heterogeneous clouds and/or at the lowest sun. Cloud fraction had the strongest and always ∪-shaped view angle dependence. As a result, in-cloud MODIS cloud liquid water path (CLWP) showed surprisingly good view angle (cross-swath) consistency, usually comparable to that of microwave retrievals, due to cancelation between optical thickness and effective radius biases. Larger (20–40%) nadir-relative increases were observed in the most extreme heterogeneity and sun angle bins, that is, typically in the polar regions, which, however, constituted only 3–8% of retrievals. The good consistency of MODIS in-cloud CLWP was lost for gridbox mean LWP, which was dominated by the strong cloud fraction increase with view angle. More worryingly, MODIS LWP exhibited significant and systematic absolute increases with heterogeneity and sun angle that is not present in microwave LWP.

2017, Heinze, Rieke, Dipankar, Anurag, Henken, Cintia Carbajal, Moseley, Christopher, Sourdeval, Odran, Trömel, Silke, Xie, Xinxin, Adamidis, Panos, Ament, Felix, Baars, Holger, Barthlott, Christian, Behrendt, Andreas, Blahak, Ulrich, Bley, Sebastian, Brdar, Slavko, Brueck, Matthias, Crewell, Susanne, Deneke, Hartwig, Di Girolamo, Paolo, Evaristo, Raquel, Fischer, Jürgen, Frank, Christopher, Friederichs, Petra, Göcke, Tobias, Gorges, Ksenia, Hande, Luke, Hanke, Moritz, Hansen, Akio, Hege, Hans-Christian, Hoose, Corinna, Jahns, Thomas, Kalthoff, Norbert, Klocke, Daniel, Kneifel, Stefan, Knippertz, Peter, Kuhn, Alexander, van Laar, Thriza, Macke, Andreas, Maurer, Vera, Mayer, Bernhard, Meyer, Catrin I., Muppa, Shravan K., Neggers, Roeland A.J., Orlandi, Emiliano, Pantillon, Florian, Pospichal, Bernhard, Röber, Niklas, Scheck, Leonhard, Seifert, Axel, Seifert, Patric, Senf, Fabian, Siligam, Pavan, Simmer, Clemens, Steinke, Sandra, Stevens, Bjorn, Wapler, Kathrin, Weniger, Michael, Wulfmeyer, Volker, Zängl, Günther, Zhangl, Dan, Quaase, Johannes

Large-eddy simulations (LES) with the new ICOsahedral Non-hydrostatic atmosphere model (ICON) covering Germany are evaluated for four days in spring 2013 using observational data from various sources. Reference simulations with the established Consortium for Small-scale Modelling (COSMO) numerical weather prediction model and further standard LES codes are performed and used as a reference. This comprehensive evaluation approach covers multiple parameters and scales, focusing on boundary-layer variables, clouds and precipitation. The evaluation points to the need to work on parametrizations influencing the surface energy balance, and possibly on ice cloud microphysics. The central purpose for the development and application of ICON in the LES configuration is the use of simulation results to improve the understanding of moist processes, as well as their parametrization in climate models. The evaluation thus aims at building confidence in the model's ability to simulate small- to mesoscale variability in turbulence, clouds and precipitation. The results are encouraging: the high-resolution model matches the observed variability much better at small- to mesoscales than the coarser resolved reference model. In its highest grid resolution, the simulated turbulence profiles are realistic and column water vapour matches the observed temporal variability at short time-scales. Despite being somewhat too large and too frequent, small cumulus clouds are well represented in comparison with satellite data, as is the shape of the cloud size spectrum. Variability of cloud water matches the satellite observations much better in ICON than in the reference model. In this sense, it is concluded that the model is fit for the purpose of using its output for parametrization development, despite the potential to improve further some important aspects of processes that are also parametrized in the high-resolution model.