Lesson 2 Precipitation and Clouds
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Global Modeling of Contrail and Contrail Cirrus Climate Impact
GLOBAL MODELING OF THE CONTRAIL AND CONTRAIL CIRRUS CLIMATE IMPACT BY ULRIKE BU RKHARDT , BERND KÄRCHER , AND ULRICH SCH U MANN et al. 2010). For the given ambient Modeling the physical processes governing the life cycle of conditions, their direct radia- contrail cirrus clouds will substantially narrow the uncer- tive effect is mainly determined tainty associated with the aviation climate impact. by coverage and optical depth. The microphysical properties of contrail cirrus likely differ from substantial part of the aviation climate impact those of most natural cirrus, at least during the initial may be due to aviation-induced cloudiness (AIC; stages of the contrail cirrus life cycle (Heymsfield A Brasseur and Gupta 2010), which is arguably et al. 2010). Contrails form and persist in air that is the most important but least understood component ice saturated, whereas natural cirrus usually requires in aviation climate impact assessments. The AIC in- high ice supersaturation to form (Jensen et al. 2001). cludes contrail cirrus and changes in cirrus properties This difference implies that in a substantial fraction or occurrence arising from aircraft soot emissions of the upper troposphere contrail cirrus can persist in (soot cirrus). Linear contrails are line-shaped ice supersaturated air that is cloud free, thus increasing clouds that form behind cruising aircraft in clear air high cloud coverage. Contrails and contrail cirrus and within cirrus clouds. Linear contrails transform existing above, below, or within clouds change the into irregularly shaped ice clouds (contrail cirrus) and column optical depth and radiative fluxes. They may may form cloud clusters in favorable meteorological also indirectly affect radiation by changing the mois- conditions, occasionally covering large horizontal ture budget of the upper troposphere, and therefore areas extending up to 100,000 km2 (Duda et al. -
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. -
Observation of Polar Stratospheric Clouds Down to the Mediterranean Coast
Atmos. Chem. Phys., 7, 5275–5281, 2007 www.atmos-chem-phys.net/7/5275/2007/ Atmospheric © Author(s) 2007. This work is licensed Chemistry under a Creative Commons License. and Physics Observation of Polar Stratospheric Clouds down to the Mediterranean coast P. Keckhut1, Ch. David1, M. Marchand1, S. Bekki1, J. Jumelet1, A. Hauchecorne1, and M. Hopfner¨ 2 1Service d’Aeronomie,´ Institut Pierre Simon Laplace, B.P. 3, 91371, Verrieres-le-Buisson,` France 2Forschungszentrum Karlsruhe, Institut fur¨ Meteorologie und Klimaforschung, Karlsruhe, Germany Received: 8 March 2007 – Published in Atmos. Chem. Phys. Discuss.: 15 May 2007 Revised: 5 October 2007 – Accepted: 6 October 2007 – Published: 12 October 2007 Abstract. A Polar Stratospheric Cloud (PSC) was detected spheric temperatures are expected to cool down due to ozone for the first time in January 2006 over Southern Europe af- depletion, but also to the increase in the concentrations of ter 25 years of systematic lidar observations. This cloud greenhouse gases. Such findings are already reported and was observed while the polar vortex was highly distorted simulated (Ramaswamy et al., 2001), although trends are less during the initial phase of a major stratospheric warming. clear at high latitudes due to a larger natural variability and Very cold stratospheric temperatures (<190 K) centred over potential dynamical feedback. Nearly twenty years after the the Northern-Western Europe were reported, extending down signing of the Montreal Protocol, the timing and extent of the to the South of France -
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-Spotting Game Sheet
Spot ‘Em Car Games Clouds and Weather Mark down each type of cloud you spot, and see how long it takes you to get them all! 1. Cirrus (2) 2. Altocumulus (2) 3. Cirrocumulus (1) 4. Cirrostratus (3) 5. Cumulus (1) 6. Cirrus fibratus (2) 7. Altostratus (3) 8. Nimbostratus (2) 9. Stratocumulus (1) 10. Stratus (3) 11. Lenticular cloud (10) 12. Funnel cloud (10) 13. Rainbow (5) 14. Airplane contrail (2) 15. Crepuscular rays (10) www.HowToRaiseAHappyGenius.com Printed by Pictish Beast Publications Spot ‘Em Car Games Clouds and Weather More information about how to identify the weather phenomena that are part of this car game 1. Cirrus: Cirrus clouds look like strands of white cotton wool that have been pulled apart and spread across the sky. 2. Altocumulus: Altocumulus clouds form a layer at mid-altitudes that covers much of the sky, and this layer is usually made up of patterns of regularly spaced and shaped patches with bands of blue sky between them. 3. Cirrocumulus: Cirrocumulus clouds are similar to altocumulus, but they are found higher up in the sky and are made up of smaller patches of cloud. 4. Cirrostratus: Cirrostratus clouds form a continuous sheet of cloud high up in the sky that are thin enough for the sun to be able to shine through, creating a halo effect. 5. Cumulus: Cumulus clouds are distinctive fluffy looking clouds that are clearly separated from other clouds in the sky. They are what you would draw if asked to draw a picture of a cloud. 6. Cirrus fibratus: Cirrus fibratus are a type of Cirrus cloud that form very distinctive long, fluffy lines across the sky. -
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. -
Chapter 4: Fog
CHAPTER 4: FOG Fog is a double threat to boaters. It not only reduces visibility but also distorts sound, making collisions with obstacles – including other boats – a serious hazard. 1. Introduction Fog is a low-lying cloud that forms at or near the surface of the Earth. It is made up of tiny water droplets or ice crystals suspended in the air and usually gets its moisture from a nearby body of water or the wet ground. Fog is distinguished from mist or haze only by its density. In marine forecasts, the term “fog” is used when visibility is less than one nautical mile – or approximately two kilometres. If visibility is greater than that, but is still reduced, it is considered mist or haze. It is important to note that foggy conditions are reported on land only if visibility is less than half a nautical mile (about one kilometre). So boaters may encounter fog near coastal areas even if it is not mentioned in land-based forecasts – or particularly heavy fog, if it is. Fog Caused Worst Maritime Disaster in Canadian History The worst maritime accident in Canadian history took place in dense fog in the early hours of the morning on May 29, 1914, when the Norwegian coal ship Storstadt collided with the Canadian Pacific ocean liner Empress of Ireland. More than 1,000 people died after the Liverpool-bound liner was struck in the side and sank less than 15 minutes later in the frigid waters of the St. Lawrence River near Rimouski, Quebec. The Captain of the Empress told an inquest that he had brought his ship to a halt and was waiting for the weather to clear when, to his horror, a ship emerged from the fog, bearing directly upon him from less than a ship’s length away. -
Investigating the Climate System Precipitationprecipitation “The Irrational Inquirer”
Educational Product Educators Grades 5–8 Investigating the Climate System PrecipitationPrecipitation “The Irrational Inquirer” PROBLEM-BASED CLASSROOM MODULES Responding to National Education Standards in: English Language Arts ◆ Geography ◆ Mathematics Science ◆ Social Studies Investigating the Climate System PrecipitationPrecipitation “The Irrational Inquirer” Authored by: CONTENTS Mary Cerullo, Resources in Science Education, South Portland, Maine Grade Levels; Time Required; Objectives; Disciplines Encompassed; Key Terms; Key Concepts . 2 Prepared by: Stacey Rudolph, Senior Science Prerequisite Knowledge . 3 Education Specialist, Institute for Global Environmental Strategies Additional Prerequisite Knowledge and Facts . 5 (IGES), Arlington, Virginia Suggested Reading/Resources . 5 John Theon, Former Program Scientist for NASA TRMM Part 1: How are rainfall rates measured? . 6 Editorial Assistance, Dan Stillman, Truth Revealed after 200 Years of Secrecy! Science Communications Specialist, Pre-Activity; Activity One; Activity Two; Institute for Global Environmental Activity Three; Extensions. 8 Strategies (IGES), Arlington, Virginia Graphic Design by: Part 2: How is the intensity and distribution Susie Duckworth Graphic Design & of rainfall determined? . 9 Illustration, Falls Church, Virginia Airplane Pilot or Movie Critic? Funded by: Activity One; Activity Two. 9 NASA TRMM Grant #NAG5-9641 Part 3: How can you study rain? . 10 Give us your feedback: Foreseeing the Future of Satellites! To provide feedback on the modules Activity One; Activity Two . 10 online, go to: Activity Three; Extensions . 11 https://ehb2.gsfc.nasa.gov/edcats/ educational_product Unit Extensions . 11 and click on “Investigating the Climate System.” Appendix A: Bibliography/Resources . 12 Appendix B: Assessment Rubrics & Answer Keys. 13 NOTE: This module was developed as part of the series “Investigating the Climate Appendix C: National Education Standards. -
Ice Polar Stratospheric Clouds Detected from Assimilation of Atmospheric Infrared Sounder Data
Ice Polar Stratospheric Clouds Detected from Assimilation of Atmospheric Infrared Sounder Data Ivanka Stajner,1,2 Craig Benson,3,2 Hui-Chun Liu,1,2 Steven Pawson,2 Nicole Brubaker,1,2 Lang-Ping Chang,1,2 Lars Peter Riishojgaard3,2, and Ricardo Todling1,2 1 Science Applications International Corporation, Beltsville, Maryland 2 Global Modeling and Assimilation Office, NASA Goddard Space Flight Center, Greenbelt, Maryland 3 Goddard Earth Sciences and Technology Center, University of Maryland Baltimore County, Baltimore, Maryland 1 A novel technique is presented for the detection and 45 about ice PSCs (Meerkoetter 1992; Hervig et al. 2001). 2 mapping of ice polar stratospheric clouds (PSCs), 46 Maps of ice PSCs were retrieved from differences in 3 using brightness temperatures from the Atmospheric 47 radiances in two channels and also allowed distinction 4 Infrared Sounder (AIRS) “moisture” channel near 48 between ice PSCs and cirrus. In contrast, even the 5 6.79 μm. It is based on observed-minus-forecast 49 strongest nitric-acid-trihydrate PSCs cannot be 6 residuals (O-Fs) computed when using AIRS 50 retrieved from AVHRR because their signal falls below 7 radiances in the Goddard Earth Observing System 51 AVHRR measurement uncertainty (Hervig et al. 2001). 8 version 5 (GEOS-5) data assimilation system. 52 Tropospheric ice clouds can be retrieved from the 9 Brightness temperatures are computed from six-hour 53 Atmospheric Infrared Sounder (AIRS) data. 10 GEOS-5 forecasts using a radiation transfer module 54 Comparisons of AIRS spectra with a radiative transfer 11 under clear-sky conditions, meaning they will be too 55 model in the window region 10-12.5 μm show 12 high when ice PSCs are present. -
Contrails, Contrail Cirrus, and Ship Tracks
214 Proceedings of the TAC-Conference, June 26 to 29, 2006, Oxford, UK Contrails, contrail cirrus, and ship tracks K. Gierens* DLR-Institut für Physik der Atmosphäre Oberpfaffenhofen, Germany Keywords: Aerosol effects on clouds and climate ABSTRACT: The following text is an enlarged version of the conference tutorial lecture on con- trails, contrail cirrus, and ship tracks. I start with a general introduction into aerosol effects on clouds. Contrail formation and persistence, aviation’s share to cirrus trends and ship tracks are treated then. 1 INTRODUCTION The overarching theme above the notions “contrails”, “contrail cirrus”, and “ship tracks” is the ef- fects of anthropogenic aerosol on clouds and on climate via the cloud’s influence on the flow of ra- diation energy in the atmosphere. Aerosol effects are categorised in the following way: - Direct effect: Aerosol particles scatter and absorb solar and terrestrial radiation, that is, they in- terfere directly with the radiative energy flow through the atmosphere (e.g. Haywood and Boucher, 2000). - Semidirect effect: Soot particles are very effective absorbers of radiation. When they absorb ra- diation the ambient air is locally heated. When this happens close to or within clouds, the local heating leads to buoyancy forces, hence overturning motions are induced, altering cloud evolu- tion and potentially lifetimes (e.g. Hansen et al., 1997; Ackerman et al., 2000). - Indirect effects: The most important role of aerosol particles in the atmosphere is their role as condensation and ice nuclei, that is, their role in cloud formation. The addition of aerosol parti- cles to the natural aerosol background changes the formation conditions of clouds, which leads to changes in cloud occurrence frequencies, cloud properties (microphysical, structural, and op- tical), and cloud lifetimes (e.g.