Physics and Dynamics of Clouds and Precipitation Pao K
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Improving Lightning and Precipitation Prediction of Severe Convection Using of the Lightning Initiation Locations
PUBLICATIONS Journal of Geophysical Research: Atmospheres RESEARCH ARTICLE Improving Lightning and Precipitation Prediction of Severe 10.1002/2017JD027340 Convection Using Lightning Data Assimilation Key Points: With NCAR WRF-RTFDDA • A lightning data assimilation method was developed Haoliang Wang1,2, Yubao Liu2, William Y. Y. Cheng2, Tianliang Zhao1, Mei Xu2, Yuewei Liu2, Si Shen2, • Demonstrate a method to retrieve the 3 3 graupel fields of convective clouds Kristin M. Calhoun , and Alexandre O. Fierro using total lightning data 1 • The lightning data assimilation Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information method improves the lightning and Science and Technology, Nanjing, China, 2National Center for Atmospheric Research, Boulder, CO, USA, 3Cooperative convective precipitation short-term Institute for Mesoscale Meteorological Studies (CIMMS), NOAA/National Severe Storms Laboratory, University of Oklahoma forecasts (OU), Norman, OK, USA Abstract In this study, a lightning data assimilation (LDA) scheme was developed and implemented in the Correspondence to: Y. Liu, National Center for Atmospheric Research Weather Research and Forecasting-Real-Time Four-Dimensional [email protected] Data Assimilation system. In this LDA method, graupel mixing ratio (qg) is retrieved from observed total lightning. To retrieve qg on model grid boxes, column-integrated graupel mass is first calculated using an Citation: observation-based linear formula between graupel mass and total lightning rate. Then the graupel mass is Wang, H., Liu, Y., Cheng, W. Y. Y., Zhao, distributed vertically according to the empirical qg vertical profiles constructed from model simulations. … T., Xu, M., Liu, Y., Fierro, A. O. (2017). Finally, a horizontal spread method is utilized to consider the existence of graupel in the adjacent regions Improving lightning and precipitation prediction of severe convection using of the lightning initiation locations. -
The Observation of the Lightning Induced Variations in Atmospheric Ions
XV International Conference on Atmospheric Electricity, 15-20 June 2014, Norman, Oklahoma, U.S.A. The Observation of the Lightning Induced Variations in Atmospheric Ions Xuemeng Chen1,*, Hanna E. Manninen1,2, Pasi Aalto1, Petri Keronen1, Antti Mäkelä3, Jussi Paatero3, Tuukka Petäjä1 and Markku Kulmala1 1. Department of Physics, University of Helsinki, Helsinki, Finland 2. Institute of Physics, University of Tartu, Estonia 3. Finnish Meteorological Institute, Helsinki, Finland ABSTRACT: Variations in atmospheric ion concentration were studied in a boreal forest in Finland, with emphasis on the effect of lightning. In general, changes in ion concentrations have diurnal and seasonal patterns. Distinct features were found in ions of different size ranges, namely small ions (0.8 – 1.7 nm) and intermediate ions (1.7 – 7 nm). Preliminary results on two case studies of lightning effect are present, one with rain effect and the other not. Bursts in the concentrations of small ions and intermediate ions were observed in both cases. However, different trends in trace gases were observed for the two cases. Further investigation is needed to reveal the nature of lightning ions and the mechanism in their formation. The work is under progress. INTRODUCTION Atmospheric ions, or air ions, refer to electric charge carriers present in the atmosphere. Distinct features exist in their chemical composition, mass, size as well as number of carried charges. According to Tammet [1998], atmospheric ions can be classified into small or cluster ions, intermediate ions, and large ions based on their mobility (Z) in air, being Z > 0.5 cm2V-1s-1, 0.5 cm2V-1s-1 ≤ Z ≥ 0.03 cm2V-1s-1 and Z< 0.03 cm2V-1s-1, respectively. -
Advancing Hydrometeorological-Hydroclimatic-Ecohydrological Process Understanding and Predictions
Advancing Hydrometeorological-Hydroclimatic-Ecohydrological Process Understanding and Predictions Summary and Findings from a Community Workshop at the Colorado School of Mines, September 3-5th, 2014 Paul A. Dirmeyer1, David J. Gochis2, Terri S. Hogue3, Ana Barros4, Katja Friedrich5, Mimi Hughes5, Noah P. Molotch5, Christopher J. Duffy6, and Witold F. Krajewski7 1George Mason University 2National Center for Atmospheric Research 3Colorado School of Mines 4Duke University 5University of Colorado 6Pennsylvania State University 7University of Iowa Abstract An NSF-sponsored community workshop was held in September of 2014 to facilitate progress on the integration of hydrometeorological-hydroclimatic-ecohydrological (HHE) process understanding and improving predictive capabilities, sustainability, and resilience to environmental change. Specifically, processes that bridge traditional disciplines and observational techniques are emerging as the next frontier of hydrologic and meteorologic sciences. The aim of the workshop was to identify high priority interdisciplinary elements that should be addressed. The meeting was organized around three general themes: scientific, modeling and observational challenges and encouraging a framework for collaboration. Using this framework, high-level, cross-discipline research gaps were identified that spanned the atmospheric and hydrological sciences with the explicit goal of breaking down disciplinary barriers. This manuscript provides a detailed articulation of each of the core workshop challenges. Each -
Analysis of Lightning and Precipitation Activities in Three Severe Convective Events Based on Doppler Radar and Microwave Radiometer Over the Central China Region
atmosphere Article Analysis of Lightning and Precipitation Activities in Three Severe Convective Events Based on Doppler Radar and Microwave Radiometer over the Central China Region Jing Sun 1, Jian Chai 2, Liang Leng 1,* and Guirong Xu 1 1 Hubei Key Laboratory for Heavy Rain Monitoring and Warning Research, Institute of Heavy Rain, China Meteorological Administration, Wuhan 430205, China; [email protected] (J.S.); [email protected] (G.X.) 2 Hubei Lightning Protecting Center, Wuhan 430074, China; [email protected] * Correspondence: [email protected]; Tel.: +86-27-8180-4905 Received: 27 March 2019; Accepted: 23 May 2019; Published: 1 June 2019 Abstract: Hubei Province Region (HPR), located in Central China, is a concentrated area of severe convective weather. Three severe convective processes occurred in HPR were selected, namely 14–15 May 2015 (Case 1), 6–7 July 2013 (Case 2), and 11–12 September 2014 (Case 3). In order to investigate the differences between the three cases, the temporal and spatial distribution characteristics of cloud–ground lightning (CG) flashes and precipitation, the distribution of radar parameters, and the evolution of cloud environment characteristics (including water vapor (VD), liquid water content (LWC), relative humidity (RH), and temperature) were compared and analyzed by using the data of lightning locator, S-band Doppler radar, ground-based microwave radiometer (MWR), and automatic weather stations (AWS) in this study. The results showed that 80% of the CG flashes had an inverse correlation with the spatial distribution of heavy rainfall, 28.6% of positive CG (+CG) flashes occurred at the center of precipitation (>30 mm), and the percentage was higher than that of negative CG ( CG) − flashes (13%). -
Weather & Climate
Weather & Climate July 2018 “Weather is what you get; Climate is what you expect.” Weather consists of the short-term (minutes to days) variations in the atmosphere. Weather is expressed in terms of temperature, humidity, precipitation, cloudiness, visibility and wind. Climate is the slowly varying aspect of the atmosphere-hydrosphere-land surface system. It is typically characterized in terms of averages of specific states of the atmosphere, ocean, and land, including variables such as temperature (land, ocean, and atmosphere), salinity (oceans), soil moisture (land), wind speed and direction (atmosphere), and current strength and direction (oceans). Example of Weather vs. Climate The actual observed temperatures on any given day are considered weather, whereas long-term averages based on observed temperatures are considered climate. For example, climate averages provide estimates of the maximum and minimum temperatures typical of a given location primarily based on analysis of historical data. Consider the evolution of daily average temperature near Washington DC (40N, 77.5W). The black line is the climatological average for the period 1979-1995. The actual daily temperatures (weather) for 1 January to 31 December 2009 are superposed, with red indicating warmer-than-average and blue indicating cooler-than-average conditions. Departures from the average are generally largest during winter and smallest during summer at this location. Weather Forecasts and Climate Predictions / Projections Weather forecasts are assessments of the future state of the atmosphere with respect to conditions such as precipitation, clouds, temperature, humidity and winds. Climate predictions are usually expressed in probabilistic terms (e.g. probability of warmer or wetter than average conditions) for periods such as weeks, months or seasons. -
ESSENTIALS of METEOROLOGY (7Th Ed.) GLOSSARY
ESSENTIALS OF METEOROLOGY (7th ed.) GLOSSARY Chapter 1 Aerosols Tiny suspended solid particles (dust, smoke, etc.) or liquid droplets that enter the atmosphere from either natural or human (anthropogenic) sources, such as the burning of fossil fuels. Sulfur-containing fossil fuels, such as coal, produce sulfate aerosols. Air density The ratio of the mass of a substance to the volume occupied by it. Air density is usually expressed as g/cm3 or kg/m3. Also See Density. Air pressure The pressure exerted by the mass of air above a given point, usually expressed in millibars (mb), inches of (atmospheric mercury (Hg) or in hectopascals (hPa). pressure) Atmosphere The envelope of gases that surround a planet and are held to it by the planet's gravitational attraction. The earth's atmosphere is mainly nitrogen and oxygen. Carbon dioxide (CO2) A colorless, odorless gas whose concentration is about 0.039 percent (390 ppm) in a volume of air near sea level. It is a selective absorber of infrared radiation and, consequently, it is important in the earth's atmospheric greenhouse effect. Solid CO2 is called dry ice. Climate The accumulation of daily and seasonal weather events over a long period of time. Front The transition zone between two distinct air masses. Hurricane A tropical cyclone having winds in excess of 64 knots (74 mi/hr). Ionosphere An electrified region of the upper atmosphere where fairly large concentrations of ions and free electrons exist. Lapse rate The rate at which an atmospheric variable (usually temperature) decreases with height. (See Environmental lapse rate.) Mesosphere The atmospheric layer between the stratosphere and the thermosphere. -
Cloud and Precipitation Radars
Sponsored by the U.S. Department of Energy Office of Science, the Atmospheric Radiation Measurement (ARM) Climate Research Facility maintains heavily ARM Radar Data instrumented fixed and mobile field sites that measure clouds, aerosols, Radar data is inherently complex. ARM radars are developed, operated, and overseen by engineers, scientists, radiation, and precipitation. data analysts, and technicians to ensure common goals of quality, characterization, calibration, data Data from these sites are used by availability, and utility of radars. scientists to improve the computer models that simulate Earth’s climate system. Storage Process Data Post- Data Cloud and Management processing Products Precipitation Radars Mentors Mentors Cloud systems vary with climatic regimes, and observational DQO Translators Data capabilities must account for these differences. Radars are DMF Developers archive Site scientist DMF the only means to obtain both quantitative and qualitative observations of clouds over a large area. At each ARM fixed and mobile site, millimeter and centimeter wavelength radars are used to obtain observations Calibration Configuration of the horizontal and vertical distributions of clouds, as well Scan strategy as the retrieval of geophysical variables to characterize cloud Site operations properties. This unprecedented assortment of 32 radars Radar End provides a unique capability for high-resolution delineation Mentors science users of cloud evolution, morphology, and characteristics. One-of-a-Kind Radar Network Advanced Data Products and Tools All ARM radars, with the exception of three, are equipped with dual- Reectivity (dBz) • Active Remotely Sensed Cloud Locations (ARSCL) – combines data from active remote sensors with polarization technology. Combined -60 -40 -20 0 20 40 50 60 radar observations to produce an objective determination of hydrometeor height distributions and retrieval with multiple frequencies, this 1 μm 10 μm 100 μm 1 mm 1 cm 10 cm 10-3 10-2 10-1 100 101 102 of cloud properties. -
Exercise 10: Cumulus Cloud with Bulk Cloud Physics
Exercise Hints Tasks Results Exercise 10: Cumulus Cloud With Bulk Cloud Physics PALM group Institute of Meteorology and Climatology, Leibniz Universität Hannover last update: 21st September 2015 PALM group PALM Seminar 1 / 16 I Initialize the simulation with a marine, cumulus-topped, trade-wind region boundary layer. I Trigger the cloud by a bubble of rising warm air. I Parameterize condensation using a simple bulk cloud physics scheme. I Learn how to carry out conditional averages. Exercise Hints Tasks Results Exercise Exercise 10: Cumulus Cloud With Bulk Cloud Physics Simulate a cumulus cloud: PALM group PALM Seminar 2 / 16 I Trigger the cloud by a bubble of rising warm air. I Parameterize condensation using a simple bulk cloud physics scheme. I Learn how to carry out conditional averages. Exercise Hints Tasks Results Exercise Exercise 10: Cumulus Cloud With Bulk Cloud Physics Simulate a cumulus cloud: I Initialize the simulation with a marine, cumulus-topped, trade-wind region boundary layer. PALM group PALM Seminar 2 / 16 I Parameterize condensation using a simple bulk cloud physics scheme. I Learn how to carry out conditional averages. Exercise Hints Tasks Results Exercise Exercise 10: Cumulus Cloud With Bulk Cloud Physics Simulate a cumulus cloud: I Initialize the simulation with a marine, cumulus-topped, trade-wind region boundary layer. I Trigger the cloud by a bubble of rising warm air. PALM group PALM Seminar 2 / 16 I Learn how to carry out conditional averages. Exercise Hints Tasks Results Exercise Exercise 10: Cumulus Cloud With Bulk Cloud Physics Simulate a cumulus cloud: I Initialize the simulation with a marine, cumulus-topped, trade-wind region boundary layer. -
Exam 2: Cloud Physics April 16, 2008 Physical Meteorology 3440
Name ____________________________ Exam 2: Cloud Physics April 16, 2008 Physical Meteorology 3440 Questions 1-10 are worth 5 points each. Questions 11-15 are worth 10 points each. 1. Rank the concentrations of the following from lowest (1) to highest (3): cloud condensation nuclei (3) cloud droplets (2) raindrops (1) 2. Match the following particles with their typical size cloud condensation nuclei 10 μm cloud droplets 0.1 μm raindrops 1000 μm 3. Why do ice crystals grow at the expense of supercooled water droplets? The saturation vapor pressure over liquid is higher than the saturation vapor pressure over ice. Therefore, the environment will be more supersaturated with respect to ice than with respect to liquid, and the ice crystals will grow more quickly. At some point, the ice crystals may bring S (with respect to ice) down to 1, in which case Sl (with respect to liquid) is less than 1, causing the liquid drops to evaporate. 4. Match the following particles with their most likely means of growth 5 μm cloud drop accretion 5 μm ice crystal aggregation 100 μm dendritic ice crystals in ice cloud depositional growth 500 μm ice crystal in mixed-phase cloud condensational growth 100 μm cloud drop collision-coalescence 5. Fill in the blanks: Not all clouds with temperatures below the freezing point of water contain ice, because of the scarcity of ice nuclei in the atmosphere, and the temperature at which they nucleate ice. As the cloud temperature decreases, the probability of ice increases to the 1 temperature of -40 °C, at which point homogeneous freezing occurs. -
Meteorology (MTEOR) 1
Meteorology (MTEOR) 1 MTEOR 140: Climate and Society METEOROLOGY (MTEOR) (Cross-listed with AGRON, ENV S, GEOL). Cr. 3. F.S. Any experimental courses offered by MTEOR can be found at: The climate system of our planet. How nature and our actions alter the registrar.iastate.edu/faculty-staff/courses/explistings/ (http:// existing energy balance leading to climate change. Past climates on www.registrar.iastate.edu/faculty-staff/courses/explistings/) our planet. The influence of climate on society and resource availability during the Holocene (~ 11,000 years ago to present) with focus on Courses primarily for undergraduates: changes post industrial revolution. Significant climate events that have altered our way of life in the past. Projected changes in future climate and MTEOR 107: Severe and Hazardous Weather potential impacts on society, environment and resources. Adaption to and (2-0) Cr. 1. F. mitigation of climate change. Understanding of atmospheric processes that play a role in creating severe and hazardous weather. Focus on thunderstorms, tornadoes, MTEOR 160: Water Resources of the World hurricanes, floods, blizzards, ice storms, and temperature extremes. (Cross-listed with AGRON, ENV S, GEOL). (3-0) Cr. 3. S. Impacts on lives and property. Study of the occurrence, history, development, and management of world water resources. Basic hydrologic principles including climate, surface MTEOR 111: Synoptic Applications water, groundwater, and water quality. Historical and current perspectives (1-0) Cr. 1. Repeatable. F. on water policy, use, and the role of water in society and the environment. Prereq: Credit or enrollment in MATH 165 Meets International Perspectives Requirement. Current weather discussions and introduction to synoptic-scale interpretation of meteorology. -
Atmospheric Physics I
Atmospheric Physics I PHYS 621, Fall 2016 Dates and Location: Tuesday & Thursday, 2:30PM- 3:45AM; Public Policy 367 INSTRUCTOR: Dr. Pengwang Zhai Email: [email protected] Ph.: 410-455-3682 (office) OFFICE HOURS: Anytime Through Email appointment TEXTS: Wallace, J.M. and P. V. Hobbs, Atmospheric Science: An Introductory Survey, 2nd ed., Elsevier, 2006 Salby, M. L., Fundamentals of Atmospheric Physics, Academic Press, 1996. REFERENCE TEXTS (Highly recommend): Holton, J. R. Introduction to Dynamic Meteorology, 4th ed., Academic Press, 2004. DESCRIPTION: Composition and structure of the earth's atmosphere, atmospheric radiation and thermodynamics, fundamentals of atmospheric dynamics, overview of climatology. GRADING: Homework (25%), Midterm (30%), Final (40%), Participation/Discussion(5%) Course Strategy: There will be no exam make-up except for University-policy accepted absence. To promote active learning, students are strongly encouraged to read the corresponding textbook chapters before each lecture. Pre-lecture homework and discussion assignments are given routinely before lectures. Reading the sections of the textbook corresponding to the assigned homework exercises is considered part of the homework assignment; you are responsible for material in the assigned reading whether or not it is discussed in the lecture. Homework will be due weekly in Thursday’s lecture. There will be a 30% penalty on late homework submissions. COURSE OUTLINE: Overview A. Earth's atmosphere System of units The Sun and the orbit and size of Earth Chemical constituents of Earth’s atmosphere Vertical structure of temperature and density Wind and precipitation Ozone layer, hydrological and carbon cycles Global Energy Budget B. Atmospheric Radiation Maxwell’s Equation & EM wave Blackbody radiation: Planck’s Law and Stefan-Boltzmann’s law Spectral characteristics of Solar and Thermal infrared radiation Atmospheric absorption & Greenhouse effect Atmospheric scattering, clouds and aerosols Radiative forcing and climate Spatial and Temporal distribution of solar radiation C. -
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