The impact of aerosols and model grid spacing on a supercell storm from Swabian MOSES 2021
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C. Hoose | C. Barthlott | J. Handwerker | H. Saathoff | A. Böhmländer | J. Wilhelm | Andreas Wieser | Hengheng Zhang | Beata Czajka | Michael Kunz | Philipp Gasch | Martin Kohler
[1] C. Hoose,et al. Microphysical Pathways Active Within Thunderstorms and Their Sensitivity to CCN Concentration and Wind Shear , 2023, Journal of Geophysical Research: Atmospheres.
[2] I. Mammarella,et al. Aerosols, Clusters, Greenhouse Gases, Trace Gases and Boundary-Layer Dynamics: on Feedbacks and Interactions , 2023, Boundary-Layer Meteorology.
[3] Kevin W. Manning,et al. Simulations of Severe Convective Systems Using 1 Versus 3km Grid Spacing , 2022, Weather and Forecasting.
[4] C. Keil,et al. The impact of microphysical uncertainty conditional on initial and boundary condition uncertainty under varying synoptic control , 2022, Weather and Climate Dynamics.
[5] Walker S. Ashley,et al. The Future of Supercells in The United States , 2022, Bulletin of the American Meteorological Society.
[6] I. Hajnsek,et al. Swabian MOSES 2021: An interdisciplinary field campaign for investigating convective storms and their event chains , 2022, Frontiers in Earth Science.
[7] C. Keil,et al. Impacts of combined microphysical and land-surface uncertainties on convective clouds and precipitation in different weather regimes , 2022, Atmospheric Chemistry and Physics.
[8] C. Keil,et al. Combined effects of soil moisture and microphysical perturbations on convective clouds and precipitation for a locally forced case over Central Europe , 2022, Quarterly Journal of the Royal Meteorological Society.
[9] M. Schloter,et al. MOSES: A Novel Observation System to Monitor Dynamic Events Across Earth Compartments , 2021, Bulletin of the American Meteorological Society.
[10] C. Keil,et al. Importance of aerosols and shape of the cloud droplet size distribution for convective clouds and precipitation , 2021, Atmospheric Chemistry and Physics.
[11] Gregory Thompson,et al. A Stochastic Parameter Perturbation Method to Represent Uncertainty in a Microphysics Scheme , 2021 .
[12] C. Barthlott,et al. Large impact of tiny model domain shifts for the Pentecost 2014 mesoscale convective system over Germany , 2020 .
[13] Duncan Watson-Parris,et al. tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets , 2019, Geoscientific Model Development.
[14] S. Rasp,et al. Relative contribution of soil moisture, boundary‐layer and microphysical perturbations on convective predictability in different weather regimes , 2019, Quarterly Journal of the Royal Meteorological Society.
[15] C. Hoose,et al. Relative impact of aerosol, soil moisture, and orography perturbations on deep convection , 2019, Atmospheric Chemistry and Physics.
[16] C. Hoose,et al. Aerosol Effects on Clouds and Precipitation over Central Europe in Different Weather Regimes , 2018, Journal of the Atmospheric Sciences.
[17] Laure Raynaud,et al. Clustering and selection of boundary conditions for limited‐area ensemble prediction , 2018, Quarterly Journal of the Royal Meteorological Society.
[18] Robin J. Hogan,et al. A Flexible and Efficient Radiation Scheme for the ECMWF Model , 2018, Journal of Advances in Modeling Earth Systems.
[19] C. Hoose,et al. The precipitation response to variable terrain forcing over low mountain ranges in different weather regimes , 2018 .
[20] Craig S. Schwartz,et al. Toward 1-km Ensemble Forecasts over Large Domains , 2017 .
[21] C. Hoose,et al. Sensitivity of the 2014 Pentecost storms over Germany to different model grids and microphysics schemes , 2017 .
[22] B. Vogel,et al. Are atmospheric updrafts a key to unlocking climate forcing and sensitivity , 2016 .
[23] Yuan Wang,et al. Review of Aerosol–Cloud Interactions: Mechanisms, Significance, and Challenges , 2016 .
[24] I. Tegen,et al. Parameterizing cloud condensation nuclei concentrations during HOPE , 2016 .
[25] M. Kunz,et al. Hail statistics for Germany derived from single-polarization radar data , 2016 .
[26] Jiwen Fan,et al. Effects of cloud condensation nuclei and ice nucleating particles on precipitation processes and supercooled liquid in mixed-phase orographic clouds , 2016 .
[27] C. Barthlott,et al. Mechanisms initiating heavy precipitation over Italy during HyMeX Special Observation Period 1: a numerical case study using two mesoscale models , 2016 .
[28] I. Tegen,et al. Seasonal variability of Saharan desert dust and ice nucleating particles over Europe , 2014 .
[29] L. Remer,et al. Review: Cloud invigoration by aerosols—Coupling between microphysics and dynamics , 2014 .
[30] Bianca Adler,et al. KITcube - a mobile observation platform for convection studies deployed during HyMeX , 2013 .
[31] Zhanqing Li,et al. Impact of aerosols on convective clouds and precipitation , 2012, Reviews of Geophysics.
[32] G. Stephens,et al. Aerosol Indirect Effects on Tropical Convection Characteristics under Conditions of Radiative-Convective Equilibrium , 2011 .
[33] Lindsay J. Bennett,et al. Initiation of convection over the Black Forest mountains during COPS IOP15a , 2011 .
[34] Lindsay J. Bennett,et al. The Convective and Orographically‐induced Precipitation Study (COPS): the scientific strategy, the field phase, and research highlights , 2011 .
[35] C. Flamant,et al. Forecasting summer convection over the Black Forest: a case study from the Convective and Orographically‐induced Precipitation Study (COPS) experiment , 2011 .
[36] M. Kunz,et al. High-resolution assessment of the hail hazard over complex terrain from radar and insurance data , 2010 .
[37] Oliver Fuhrer,et al. A Generalization of the SLEVE Vertical Coordinate , 2010 .
[38] K. D. Beheng,et al. Simulations of a hailstorm and the impact of CCN using an advanced two-moment cloud microphysical scheme , 2010 .
[39] C. Kottmeier,et al. The impact of soil moisture modifications on CBL characteristics in West Africa: A case‐study from the AMMA campaign , 2010 .
[40] G. Stephens,et al. Modeling Aerosol Impacts on Convective Storms in Different Environments , 2009 .
[41] C. Kottmeier,et al. Observations of Kinematics and Thermodynamic Structure Surrounding a Convective Storm Cluster over a Low Mountain Range , 2009 .
[42] C. O'Dowd,et al. Flood or Drought: How Do Aerosols Affect Precipitation? , 2008, Science.
[43] Martin Köhler,et al. Advances in simulating atmospheric variability with the ECMWF model: From synoptic to decadal time‐scales , 2008 .
[44] Kevin W. Manning,et al. Experiences with 0–36-h Explicit Convective Forecasts with the WRF-ARW Model , 2008 .
[45] N. Kalthoff,et al. Initiation of shallow convection in the Black Forest mountains , 2007 .
[46] Matthew J. Bunkers,et al. An Observational Examination of Long-Lived Supercells. Part II: Environmental Conditions and Forecasting , 2006 .
[47] A. Khain,et al. Dependence of droplet concentration on aerosol conditions in different cloud types: Application to droplet concentration parameterization of aerosol conditions , 2006 .
[48] K. D. Beheng,et al. A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 2: Maritime vs. continental deep convective storms , 2006 .
[49] K. D. Beheng,et al. A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 1: Model description , 2006 .
[50] Johannes Hendricks,et al. Physically based parameterization of cirrus cloud formation for use in global atmospheric models , 2006 .
[51] J. Done,et al. The next generation of NWP: explicit forecasts of convection using the weather research and forecasting (WRF) model , 2004 .
[52] J. Wyngaard,et al. Resolution Requirements for the Simulation of Deep Moist Convection , 2003 .
[53] U. Lohmann,et al. A parameterization of cirrus cloud formation: Homogeneous freezing of supercooled aerosols , 2002 .
[54] M. Tiedtke. A Comprehensive Mass Flux Scheme for Cumulus Parameterization in Large-Scale Models , 1989 .
[55] Joseph B. Klemp,et al. The Dependence of Numerically Simulated Convective Storms on Vertical Wind Shear and Buoyancy , 1982 .
[56] M. Christensen,et al. tobac v1.0: towards a flexible framework for tracking and analysis of clouds in diverse datasets , 2019 .
[57] G. Zängl,et al. The ICON (ICOsahedral Non‐hydrostatic) modelling framework of DWD and MPI‐M: Description of the non‐hydrostatic dynamical core , 2015 .
[58] R. Plant,et al. A ‘Boscastle‐type’ quasi‐stationary convective system over the UK Southwest Peninsula , 2014 .
[59] G. Bryan,et al. Sensitivity of a Simulated Squall Line to Horizontal Resolution and Parameterization of Microphysics , 2012 .
[60] N. Roberts,et al. Scale-Selective Verification of Rainfall Accumulations from High-Resolution Forecasts of Convective Events , 2008 .