Formation of Precipitation Step 1: Cloud Droplet Formation and Growth Condensation Collision-Coalescence
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Quantification of Cloud Condensation Nuclei Effects on the Microphysical Structure of Continental Thunderstorms Using Polarimetr
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Dissertations & Theses in Earth and Atmospheric Earth and Atmospheric Sciences, Department of Sciences 11-2018 Quantification of Cloud Condensation Nuclei Effects on the Microphysical Structure of Continental Thunderstorms Using Polarimetric Radar Observations Kun-Yuan Lee University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/geoscidiss Part of the Atmospheric Sciences Commons, Meteorology Commons, and the Other Oceanography and Atmospheric Sciences and Meteorology Commons Lee, Kun-Yuan, "Quantification of Cloud Condensation Nuclei Effects on the Microphysical Structure of Continental Thunderstorms Using Polarimetric Radar Observations" (2018). Dissertations & Theses in Earth and Atmospheric Sciences. 113. https://digitalcommons.unl.edu/geoscidiss/113 This Article is brought to you for free and open access by the Earth and Atmospheric Sciences, Department of at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Dissertations & Theses in Earth and Atmospheric Sciences by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. i QUANTIFICATION OF CLOUD CONDENSATION NUCLEI EFFECTS ON THE MICROPHYSICAL STRUCTURE OF CONTINENTAL THUNDERSTORMS USING POLARIMETRIC RADAR OBSERVATIONS by Kun-Yuan Lee A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Science Major: Earth and Atmospheric Sciences Under the Supervision of Professor Matthew S. Van Den Broeke Lincoln, Nebraska November, 2018 i QUANTIFICATION OF CLOUD CONDENSATION NUCLEI EFFECTS ON THE MICROPHYSICAL STRUCTURE OF CONTINENTAL THUNDERSTORMS USING POLARIMETRIC RADAR OBSERVATIONS Kun-Yuan Lee, M.S. University of Nebraska, 2019 Advisor: Matthew S. -
METAR/SPECI Reporting Changes for Snow Pellets (GS) and Hail (GR)
U.S. DEPARTMENT OF TRANSPORTATION N JO 7900.11 NOTICE FEDERAL AVIATION ADMINISTRATION Effective Date: Air Traffic Organization Policy September 1, 2018 Cancellation Date: September 1, 2019 SUBJ: METAR/SPECI Reporting Changes for Snow Pellets (GS) and Hail (GR) 1. Purpose of this Notice. This Notice coincides with a revision to the Federal Meteorological Handbook (FMH-1) that was effective on November 30, 2017. The Office of the Federal Coordinator for Meteorological Services and Supporting Research (OFCM) approved the changes to the reporting requirements of small hail and snow pellets in weather observations (METAR/SPECI) to assist commercial operators in deicing operations. 2. Audience. This order applies to all FAA and FAA-contract weather observers, Limited Aviation Weather Reporting Stations (LAWRS) personnel, and Non-Federal Observation (NF- OBS) Program personnel. 3. Where can I Find This Notice? This order is available on the FAA Web site at http://faa.gov/air_traffic/publications and http://employees.faa.gov/tools_resources/orders_notices/. 4. Cancellation. This notice will be cancelled with the publication of the next available change to FAA Order 7900.5D. 5. Procedures/Responsibilities/Action. This Notice amends the following paragraphs and tables in FAA Order 7900.5. Table 3-2: Remarks Section of Observation Remarks Section of Observation Element Paragraph Brief Description METAR SPECI Volcanic eruptions must be reported whenever first noted. Pre-eruption activity must not be reported. (Use Volcanic Eruptions 14.20 X X PIREPs to report pre-eruption activity.) Encode volcanic eruptions as described in Chapter 14. Distribution: Electronic 1 Initiated By: AJT-2 09/01/2018 N JO 7900.11 Remarks Section of Observation Element Paragraph Brief Description METAR SPECI Whenever tornadoes, funnel clouds, or waterspouts begin, are in progress, end, or disappear from sight, the event should be described directly after the "RMK" element. -
Multidisciplinary Design Project Engineering Dictionary Version 0.0.2
Multidisciplinary Design Project Engineering Dictionary Version 0.0.2 February 15, 2006 . DRAFT Cambridge-MIT Institute Multidisciplinary Design Project This Dictionary/Glossary of Engineering terms has been compiled to compliment the work developed as part of the Multi-disciplinary Design Project (MDP), which is a programme to develop teaching material and kits to aid the running of mechtronics projects in Universities and Schools. The project is being carried out with support from the Cambridge-MIT Institute undergraduate teaching programe. For more information about the project please visit the MDP website at http://www-mdp.eng.cam.ac.uk or contact Dr. Peter Long Prof. Alex Slocum Cambridge University Engineering Department Massachusetts Institute of Technology Trumpington Street, 77 Massachusetts Ave. Cambridge. Cambridge MA 02139-4307 CB2 1PZ. USA e-mail: [email protected] e-mail: [email protected] tel: +44 (0) 1223 332779 tel: +1 617 253 0012 For information about the CMI initiative please see Cambridge-MIT Institute website :- http://www.cambridge-mit.org CMI CMI, University of Cambridge Massachusetts Institute of Technology 10 Miller’s Yard, 77 Massachusetts Ave. Mill Lane, Cambridge MA 02139-4307 Cambridge. CB2 1RQ. USA tel: +44 (0) 1223 327207 tel. +1 617 253 7732 fax: +44 (0) 1223 765891 fax. +1 617 258 8539 . DRAFT 2 CMI-MDP Programme 1 Introduction This dictionary/glossary has not been developed as a definative work but as a useful reference book for engi- neering students to search when looking for the meaning of a word/phrase. It has been compiled from a number of existing glossaries together with a number of local additions. -
Precipitation Processes
Loknath Adhikari PRECIPITATION PROCESSES This summary deals with the mechanisms of warm rain processes and tries to summarize the factors affecting the rapid growth of hydrometeors in clouds from (sub) micrometric cloud condensation nuclei to millimetric raindrop sized hydrometeors. Condensation, which accounts for the initial drop formation, and the collision coalescence process will be briefly described. The collision and coalescence process is largely dependent on the initial droplet spectrum in the clouds. Various models have been prepared based on detailed microphysics of clouds and dynamical aspects to quantify the transition from cloud droplets of typical diameter 10 µm to rain-sized drops of 1000 µm in some tens of minutes. These models underestimate the droplet spectra in real clouds. Some of these cloud models will be discussed and possible causes of the discrepancies between model output and real spectra will be analyzed based on works of various authors. Introduction Precipitation processes involves a complex mechanism in the atmosphere that produces raindrop-sized hydrometeors, in the milli-metric range, from diffusional condensation of water vapor in clouds and later collision and coalescence among the droplets formed through the diffusional processes (Brenguier and Chaumat, 2001; Beard and Ochs, 1993). Both of these processes are affected by entrainment of dry environmental air and turbulent mixing within the cloud. These factors show a tendency to broaden the drop size spectra. The droplet size larger than 40 µm is critical for the initiation of the warm rain process (Brenguier and Chaumat, 2001). Pre-existence of large condensation nuclei in the cloud has been taken as a plausible reason for the existence of such large hydrometeors that initiate rainfall. -
The Distribution of Aircraft Icing Accretion in China—Preliminary Study
atmosphere Article The Distribution of Aircraft Icing Accretion in China—Preliminary Study Jinhu Wang 1,2,3,4,* , Binze Xie 1,* and Jiahan Cai 1 1 Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology (NUIST), Nanjing 210044, China; [email protected] 2 Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China 3 National Demonstration Center for Experimental Atmospheric Science and Environmental Meteorology Education, Nanjing University of Information Science and Technology, Nanjing 210044, China 4 Nanjing Xinda Institute of Safety and Emergency Management, Nanjing 210044, China * Correspondence: [email protected] (J.W.); [email protected] (B.X.); Tel.: +86-138-1451-2847 (J.W.) Received: 10 June 2020; Accepted: 11 August 2020; Published: 18 August 2020 Abstract: The icing environment is an important threat to aircraft flight safety. In this work, the icing index is calculated using linear interpolation and based on temperature and relative humidity (RH) curves obtained from radiosonde observations in China. The results show that: (1) there are obvious differences in icing index distribution in parameter over various climatic regions of China. The differences are reflected in duration, main altitude, and ice intensity. The reason for the differences is related to the temperature and humidity environment. (2) Before and after the summer rainfall process, there are obvious changes in the ice accretion index in the 4–6 km altitude area of Northeast China, and the areas with serious ice accretion are coincident with areas with large rainfall estimates. -
Cloud Microphysics
Cloud microphysics Claudia Emde Meteorological Institute, LMU, Munich, Germany WS 2011/2012 Growth Precipitation Cloud modification Overview of cloud physics lecture Atmospheric thermodynamics gas laws, hydrostatic equation 1st law of thermodynamics moisture parameters adiabatic / pseudoadiabatic processes stability criteria / cloud formation Microphysics of warm clouds nucleation of water vapor by condensation growth of cloud droplets in warm clouds (condensation, fall speed of droplets, collection, coalescence) formation of rain, stochastical coalescence Microphysics of cold clouds homogeneous, heterogeneous, and contact nucleation concentration of ice particles in clouds crystal growth (from vapor phase, riming, aggregation) formation of precipitation, cloud modification Observation of cloud microphysical properties Parameterization of clouds in climate and NWP models Cloud microphysics December 15, 2011 2 / 30 Growth Precipitation Cloud modification Growth from the vapor phase in mixed-phase clouds mixed-phase cloud is dominated by super-cooled droplets air is close to saturated w.r.t. liquid water air is supersaturated w.r.t. ice Example ◦ T=-10 C, RHl ≈ 100%, RHi ≈ 110% ◦ T=-20 C, RHl ≈ 100%, RHi ≈ 121% )much greater supersaturations than in warm clouds In mixed-phase clouds, ice particles grow from vapor phase much more rapidly than droplets. Cloud microphysics December 15, 2011 3 / 30 Growth Precipitation Cloud modification Mass growth rate of an ice crystal diffusional growth of ice crystal similar to growth of droplet by condensation more complicated, mainly because ice crystals are not spherical )points of equal water vapor do not lie on a sphere centered on crystal dM = 4πCD (ρ (1) − ρ ) dt v vc Cloud microphysics December 15, 2011 4 / 30 P732951-Ch06.qxd 9/12/05 7:44 PM Page 240 240 Cloud Microphysics determined by the size and shape of the conductor. -
Observation and Analysis of Meteorological Conditions for Icing of Wires in Guizhou, China
Journal of Geoscience and Environment Protection, 2019, 7, 214-230 https://www.scirp.org/journal/gep ISSN Online: 2327-4344 ISSN Print: 2327-4336 Observation and Analysis of Meteorological Conditions for Icing of Wires in Guizhou, China Jifen Wen1, Ran Jia2, Yuxiang Peng1* 1Guizhou Provincial Office of Weather Modification, Guiyang, China 2Key Laboratory of Atmospheric Physics and Atmospheric Environment, Nanjing University of Information Science & Technology, Nanjing, China How to cite this paper: Wen, J. F., Jia, R., Abstract & Peng, Y. X. (2019). Observation and Analysis of Meteorological Conditions for Icing of wires is a product of rain, fog, and freezing rain, and is a common Icing of Wires in Guizhou, China. Journal meteorological disaster in winter in Guizhou Province of China. It is ex- of Geoscience and Environment Protection, tremely harmful to facilities such as power transmission and communication 7, 214-230. https://doi.org/10.4236/gep.2019.79015 lines, and has caused huge economic loss up to 48.9566 billion dollars a year. Based on the meteorological records of Guizhou from 1967, we analyze the Received: January 4, 2019 meteorological characteristics during the icing of wires, and obtain the tem- Accepted: September 24, 2019 perature, wind speed and direction conditions of the ice accident. The icing of Published: September 27, 2019 wires is carried out by supercooling raindrops, freezing of the clouds, freezing Copyright © 2019 by author(s) and and spreading on the wires. Different types of supercooled raindrops and Scientific Research Publishing Inc. cloud freezing and freezing processes will form different types of ice accre- This work is licensed under the Creative Commons Attribution International tion; wind direction and wind speed will affect the growth of ice accretion by License (CC BY 4.0). -
Twelve Lectures on Cloud Physics
Twelve Lectures on Cloud Physics Bjorn Stevens Winter Semester 2010-2011 Contents 1 Lecture 1: Clouds–An Overview3 1.1 Organization...........................................3 1.2 What is a cloud?.........................................3 1.3 Why are we interested in clouds?................................4 1.4 Cloud classification schemes..................................5 2 Lecture 2: Thermodynamic Basics6 2.1 Thermodynamics: A brief review................................6 2.2 Variables............................................8 2.3 Intensive, Extensive, and specific variables...........................8 2.3.1 Thermodynamic Coordinates..............................8 2.3.2 Composite Systems...................................8 2.3.3 The many variables of atmospheric thermodynamics.................8 2.4 Processes............................................ 10 2.5 Saturation............................................ 10 3 Lecture 3: Droplet Activation 11 3.1 Supersaturation over curved surfaces.............................. 12 3.2 Solute effects.......................................... 14 3.3 The Kohler¨ equation and its properties............................. 15 4 Lecture 4: Further Properties of an Isolated Drop 16 4.1 Diffusional growth....................................... 16 4.1.1 Temperature corrections................................ 18 4.1.2 Drop size effects on droplet growth.......................... 20 4.2 Terminal fall speeds of drops and droplets........................... 20 5 Lecture 5: Populations of Particles 22 5.1 -
Cloud Microphysics
Cloud microphysics Claudia Emde Meteorological Institute, LMU, Munich, Germany WS 2011/2012 Overview of cloud physics lecture Atmospheric thermodynamics gas laws, hydrostatic equation 1st law of thermodynamics moisture parameters adiabatic / pseudoadiabatic processes stability criteria / cloud formation Microphysics of warm clouds nucleation of water vapor by condensation growth of cloud droplets in warm clouds (condensation, fall speed of droplets, collection, coalescence) formation of rain, stochastical coalescence Microphysics of cold clouds homogeneous nucleation heterogeneous nucleation contact nucleation crystal growth (from water phase, riming, aggregation) formation of precipitation Observation of cloud microphysical properties Parameterization of clouds in climate and NWP models Cloud microphysics November 24, 2011 2 / 35 Growth rate and size distribution growing droplets consume water vapor faster than it is made available by cooling and supersaturation decreases haze droplets evaporate, activated droplets continue to grow by condensation growth rate of water droplet dr 1 = G S dt l r smaller droplets grow faster than larger droplets sizes of droplets in cloud become increasingly uniform, approach monodisperse distribution Figure from Wallace and Hobbs Cloud microphysics November 24, 2011 3 / 35 Size distribution evolution q 2 r = r0 + 2Gl St 0.8 1.4 t=0 t=0 0.7 t=10 t=10 1.2 t=30 t=30 0.6 t=50 t=50 1.0 0.5 0.8 0.4 0.6 0.3 n [normalized] n [normalized] 0.4 0.2 0.2 0.1 0.0 0.0 0 2 4 6 8 10 12 14 16 0 2 4 6 8 10 12 14 16 radius [arbitrary units] radius [arbitrary units] Cloud microphysics November 24, 2011 4 / 35 Growth by collection growth by condensation alone does not explain formation of larger drops other mechanism: growth by collection Cloud microphysics November 24, 2011 5 / 35 Terminal fall speed r 40µ . -
Stochastic Coalescence in Lagrangian Cloud Microphysics
Stochastic coalescence in Lagrangian cloud microphysics Piotr Dziekan and Hanna Pawlowska Institute of Geophysics, Faculty of Physics, University of Warsaw, Poland Correspondence to: P. Dziekan ([email protected]) Abstract. Stochasticity of the collisional growth of cloud droplets is studied using the super-droplet method (SDM) of Shima et al. (2009). Statistics are calculated from ensembles of simulations of collision-coalescence in a single well-mixed cell. The SDM is compared with direct numerical simulations and the master equation. It is argued that SDM simulations in which one computational droplet represents one real droplet are at the same level of precision as the master equation. Such sim- 5 ulations are used to study fluctuations in the autoconversion time, the sol-gel transition and the growth rate of lucky droplets, which is compared with a theoretical prediction. Size of the coalescence cell is found to strongly affect system behavior. In small cells, correlations in droplet sizes and droplet depletion slow down rain formation. In large cells, collisions between rain drops are more frequent and this also can slow down rain formation. The increase in the rate of collision between rain drops may be an artefact caused by assuming a too large well-mixed volume. The highest ratio of rain water to cloud water is found 10 in cells of intermediate sizes. Next, we use these precise simulations to determine validity of more approximate methods: the Smoluchowski equation and the SDM with mulitplicities greater than 1. In the latter, we determine how many computational droplets are necessary to correctly model the expected number and the standard deviation of autoconversion time. -
Collision-Coalescence Dr
ESCI 340 - Cloud Physics and Precipitation Processes Lesson 7 - Growth by Collision-Coalescence Dr. DeCaria References: A Short Course in Cloud Physics, 3rd ed., Rogers and Yau, Ch. 8 Terminal Velocity • The equilibrium fall speed of a droplet (terminal velocity is a balance between the frictional drag and the weight of the droplet. Friction: Frictional force is given by π F = r2u2ρC ; (1) r 2 D where u is the fall speed and CD is the drag coefficient. { The drag coefficient itself may be a function of the fall speed. Weight: The weight of the droplet is given by 4 F = πr3gρ : (2) g 3 l • Setting (1) equal to (2) and solving for the fall speed leads to the formula for the terminal velocity of the droplet r8 gρ r u = l : (3) 3 ρCD • Table 1 shows empirical formulas for terminal velocity for droplets in varying size ranges. Radius Terminal Velocity Parameter Values r < 40 µm u = ar2 a = 1:19 × 106 cm−1 s−1 40 µm ≤ r < 0:6 mm u = br b = 8 × 103 s−1 1=2 3 1=2 −1 −3 r ≥ 0:6 mm u = c(ρ0/ρ)r c = 2:2 × 10 cm s ; ρ0 = 1:20 kg m Table 1: Empirical formulas for terminal velocity for different droplet sizes. Growth Due to Droplet Collisions • Figure 1 illustrates the volume swept out by a large droplet of radius R falling through a population of smaller droplets of radius r. 1 Figure 1: Collection volume swept out by a large droplet of radius R in a population of smaler droplets of radius r. -
Meteorological Conditions of Ice Accretion Based on Real-Time Observation of High Voltage Transmission Line
Article Atmospheric Science March 2012 Vol.57 No.7: 812818 doi: 10.1007/s11434-011-4868-2 SPECIAL TOPICS: Meteorological conditions of ice accretion based on real-time observation of high voltage transmission line ZHOU Yue, NIU ShengJie*, LÜ JingJing & ZHAO LiJuan Key Laboratory of Meteorological Disaster of Ministry of Education, School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing 210044, China Received May 3, 2011; accepted September 27, 2011; published online November 26, 2011 Meteorological conditions during ice accretion on the 500 kV high voltage transmission lines and test cables are presented, to- gether with a calculation of liquid water content (LWC). The data include meteorological observations and real-time ice accretion on the transmission lines of the central China power grid, from 2008 to 2009 in Hubei Province. Also included are observations of ice thickness, microphysics of fog droplets, and other relevant data from a nearby automated weather station at Enshi radar station, from January to March 2009. Results show that temperature at Zhangen tower #307 was correlated with the temperature at Enshi radar station. The temperature on the surface of the high voltage transmission line was 2–4°C higher than ambient air temperature, although the temperatures were positively correlated. Ice formation temperature was about −2°C and ice shedding temperature was about −2 to −1°C on the high voltage transmission line, both of which were lower than the temperature threshold values on the test cable. Ice thickness was significantly affected by temperature variation when the ice was thin. The calculated LWC was correlated with observed LWC, although the calculated value was greater.