Sensitivity analysis of the 1-D convective cloud model outputs on the dynamical parameters

1989 ◽  
Vol 40 (4) ◽  
pp. 237-246
Author(s):  
M. Ćurić ◽  
D. Janc
Keyword(s):  
Sensitivity Analysis ◽  
Cloud Model ◽  
Convective Cloud ◽  
Dynamical Parameters

scholarly journals Analysis on the Evolution and Microphysical Characteristics of Two Consecutive Hailstorms in Spring in Yunnan, China

Atmosphere ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 63
Author(s):  
Sidou Zhang ◽  
Shiyin Liu ◽  
Tengfei Zhang
Keyword(s):  
Wind Speed ◽  
Cloud Model ◽  
Global Analysis ◽  
Maximum Velocity ◽  
Western Pacific Subtropical High ◽  
Convective Cloud ◽  
Radar Data ◽  
Reanalysis Data ◽  
Cloud Water ◽  
High Level

By using products of the cloud model, National Centers for Environmental Prediction (NCEP) Final Operational Global Analysis (FNL) reanalysis data, and Doppler weather radar data, the mesoscale characteristics, microphysical structure, and mechanism of two hail cloud systems which occurred successively within 24 h in southeastern Yunnan have been analyzed. The results show that under the influence of two southwest jets in front of the south branch trough (SBT) and the periphery of the western Pacific subtropical high (WPSH), the northeast-southwest banded echoes affect the southeastern Yunnan of China twice. Meanwhile, the local mesoscale radial wind convergence and uneven wind speed lead to the intense development of convective echoes and the occurrence of hail. The simulated convective cloud bands are similar to the observation. The high-level mesoscale convergence line leads to the development of convective cloud bands. The low-level wind direction or wind speed convergence and the high-level wind speed divergence form a deep tilted updraft, with the maximum velocity of 15 m·s−1 at the −40~−10 °C layer, resulting in the intense development of local convective clouds. The hail embryos form through the conversion or collision growth of cloud water and snowflakes and have little to do with rain and ice crystals. Abundant cloud water, especially the accumulation region of high supercooled water (cloud water) near the 0 °C layer, is the key to the formation of hail embryos, in which qc is up to 1.92 g·kg−1 at the −4~−2 °C layer. The hail embryos mainly grow by collision-coalescence (collision-freezing) with cloud water (supercooled cloud drops) and snow crystal riming.

Sensitivity Analysis of the Dynamical Parameters on Road Materials

ICCTP 2009 ◽  
2009 ◽  
Author(s):  
Hai-bin Wei ◽  
Han-bing Liu ◽  
He-feng Zhang ◽  
Chang-yu Li
Keyword(s):  
Sensitivity Analysis ◽  
Dynamical Parameters ◽  
Road Materials

scholarly journals Cloud geometry from oxygen-A-band observations through an aircraft side window

2019 ◽  
Vol 12 (2) ◽  
pp. 1167-1181 ◽  
Author(s):  
Tobias Zinner ◽  
Ulrich Schwarz ◽  
Tobias Kölling ◽  
Florian Ewald ◽  
Evelyn Jäkel ◽  
...  
Keyword(s):  
Cloud Model ◽  
Convective Cloud ◽  
Stereo Image ◽  
Vertical Position ◽  
Geometrical Parameters ◽  
Horizontal Distance ◽  
Side Window ◽  
Absorption Path ◽  
Variable Surface ◽  
Uncertainty Estimates

Abstract. During the ACRIDICON-CHUVA (Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems–Cloud Processes of the Main Precipitation Systems in Brazil: A Contribution to Cloud Resolving Modeling and to the GPM (Global Precipitation Measurement)) aircraft campaign in September 2014 over the Amazon, among other topics, aerosol effects on the development of cloud microphysical profiles during the burning season were studied. Hyperspectral remote sensing with the imaging spectrometer specMACS provided cloud microphysical information for sun-illuminated cloud sides. In order to derive profiles of phase or effective radius from cloud side observations, vertical location information is indispensable. For this purpose, spectral measurements of cloud-side-reflected radiation in the oxygen A absorption band collected by specMACS were used to determine absorption path length between cloud sides and the instrument aboard the aircraft. From these data, horizontal distance and eventually vertical height were derived. It is shown that, depending on aircraft altitude and sensor viewing direction, an unambiguous relationship of absorption and distance exists and can be used to retrieve cloud geometrical parameters. A comparison to distance and height information from stereo image analysis (using data of an independent camera) demonstrates the efficiency of the approach. Uncertainty estimates due to method, instrument and environmental factors are provided. The main sources of uncertainty are unknown in cloud absorption path contributions due to complex 3-D geometry or unknown microphysical properties, variable surface albedo and aerosol distribution. A systematic difference of 3.8 km between the stereo and spectral method is found which can be attributed to 3-D geometry effects not considered in the method's simplified cloud model. If this offset is considered, typical differences found are 1.6 km for distance and 230 m for vertical position at a typical distance around 20 km between sensor and convective cloud elements of typically 1–10 km horizontal and vertical extent.

Sensitivity Analysis of a Moist 1D Eulerian Cloud Model Using Automatic Differentiation

1999 ◽  
Vol 127 (9) ◽  
pp. 2180-2196 ◽  
Author(s):  
Seon Ki Park ◽  
Kelvin K. Droegemeier
Keyword(s):  
Sensitivity Analysis ◽  
Automatic Differentiation ◽  
Cloud Model

A Convective Cloud Model for Use in a Cumulus Parameterization Scheme

1994 ◽  
Vol 122 (1) ◽  
pp. 165-182 ◽  
Author(s):  
Patrick A. Haines ◽  
Wen-Yih Sun
Keyword(s):  
Cloud Model ◽  
Convective Cloud ◽  
Cumulus Parameterization ◽  
Parameterization Scheme ◽  
Cumulus Parameterization Scheme

Numerical simulation of airborne cloud seeding over Greece, using a convective cloud model

2015 ◽  
Vol 51 (1) ◽  
pp. 11-27 ◽  
Author(s):  
Vlado Spiridonov ◽  
Theodore Karacostas ◽  
Dimitrios Bampzelis ◽  
Ioannis Pytharoulis
Keyword(s):  
Numerical Simulation ◽  
Cloud Model ◽  
Convective Cloud ◽  
Cloud Seeding

scholarly journals Modelling the reversible uptake of chemical species in the gas phase by ice particles formed in a convective cloud

2009 ◽  
Vol 9 (6) ◽  
pp. 24361-24410 ◽  
Author(s):  
V. Marécal ◽  
M. Pirre ◽  
E. D. Rivière ◽  
N. Pouvesle ◽  
J. N. Crowley ◽  
...  
Keyword(s):  
Cloud Model ◽  
Laboratory Data ◽  
Chemical Species ◽  
Convective Cloud ◽  
Trace Gas ◽  
Limiting Factor ◽  
Mixing Ratios ◽  
Ice Particles ◽  
Cloud Resolving Model ◽  
Single Moment

Abstract. The present paper is a preliminary study preparing the introduction of reversible trace gas uptake by ice particles into a 3-D cloud resolving model. For this a 3-D simulation of a tropical deep convection cloud was run with the BRAMS cloud resolving model using a two-moment bulk microphysical parameterization. Trajectories encountering the convective clouds were computed from these simulation outputs along which the variations of the pristine ice, snow and aggregate mixing ratios and size distributions were extracted. The reversible uptake of 11 trace gases by ice was examined assuming applicability of Langmuir isotherms using recently evaluated (IUPAC) laboratory data. The results show that ice uptake is only significant for HNO3, HCl, CH3COOH and HCOOH. For H2O2, using new results for the partition coefficient results in significant partitioning to the ice phase for this trace gas also. It was also shown that the uptake is largely dependent on the temperature for some species. The adsorption saturation at the ice surface for large gas concentrations is generally not a limiting factor except for HNO3 and HCl for gas concentration greater than 1 ppbv. For HNO3, results were also obtained using a trapping theory, resulting in a similar order of magnitude of uptake, although the two approaches are based on different assumptions. The results were compared to those obtained using a BRAMS cloud simulation based on a single-moment microphysical scheme instead of the two moment scheme. We found similar results with a slightly more important uptake when using the single-moment scheme which is related to slightly higher ice mixing ratios in this simulation. The way to introduce these results in the 3-D cloud model is discussed.

scholarly journals A new convective cloud field model based on principles of self-organisation

2005 ◽  
Vol 5 (10) ◽  
pp. 2749-2759 ◽  
Author(s):  
F. J. Nober ◽  
H. F. Graf
Keyword(s):  
Large Eddy Simulation ◽  
Cloud Model ◽  
Convective Cloud ◽  
Liquid Water Path ◽  
Convection Scheme ◽  
Large Eddy Simulation Model ◽  
Eddy Simulation ◽  
Large Eddy ◽  
Convection Schemes ◽  
The Given

Abstract. A new cumulus convection parameterisation is presented in this paper. The parameterisation uses an explicit spectral approach and determines, unlike other convection schemes, for each convection event a new cloud distribution function regarding to the given vertical temperature and humidity profiles. This is done by using a one dimensional cloud model to create a spectrum of different clouds. The interaction between all non convective physical processes in the AGCM and all different clouds is taken into account to calculate a selfconsistent cloud spectrum. The model has been implemented in the ECHAM5 AGCM and tested against a large eddy simulation model. The representation of a shallow cumulus cloud field by the AGCM could be much improved. Diurnal cycle, cloud cover, liquid water path and the vertical structure of the mass flux, determined by the new convection scheme are close to the large eddy simulation, whereas the standard convection scheme failed in simulating this convection episode.

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