Testing of New Diagnostic Fields: Precipitation Type in Cy43t2 in ALARO
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Comment Chapter Team Response Id Page Line Page Line 2257 2 0 0 0 0 Excellent Comprehensive and Rich Report
SROCC Second Order Draft Government and Expert Review Comments - Chapter 2 Comment Chapter From From To To Comment Chapter Team Response id page line page line 2257 2 0 0 0 0 Excellent comprehensive and rich report. I have only few rather technical remarks. A more Taken into account – sentence included in permafrost section general recommendation relates to the new landscapes which are rapidli forming in deglaciating mountain areas and need comprehensive anticipation/modeling/treatment. This is an emerging research field (Haeberli, W. (2017): Integrative modelling and managing new landscapes and environments in de-glaciating mountain ranges: An emerging trans- disciplinary research field. Forestry Research and Engineering: International Journal 1(1). doi:10.15406/freij.2017.01.00005). This could be more strongly emphasized, for instance, in section 2.4 on page 47 an don page 5, line 53. Such new landscapes will be characterized by strong and long-lasting disequilibria, especially concerning slope stability, sediment cascades or eco-systems. One important factor thereby is the strongly different response time of cryosphere components: snow = almost immediate, mountain glaciers = years to decades, mountain permafrost =decades to centuries to even millennia. As an example, in many mountain chains, permafrost inside high peaks will probably continue to exist (far out of thermal equilibrium) when glaciers will have already long disappeared. [Wilfried Haeberli, Switzerland] 2259 2 0 0 0 0 The figures are interesting but rather overloaded and not easy to read and understand. Accepted - The figures have been revised to improve readability. [Wilfried Haeberli, Switzerland] 2415 2 0 0 0 It is puzzling to see that chapter authors have consciously chosen to ignore the pre- Rejected - Pre-industrial changes are not part of the government industrial, pre-Little-Ice-Age palaeoclimatic context. -
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. -
Indian Monsoon Basic Drivers and Variability
Indian Monsoon Basic Drivers and Variability GOTHAM International Summer School PIK, Potsdam, Germany, 18-22 Sep 2017 R. Krishnan Indian Institute of Tropical Meteorology, Pune, India The Indian (South Asian) Monsoon Tibetan Plateau India Indian Ocean Monsoon circulation and rainfall: A convectively coupled phenomenon Requires a thermal contrast between land & ocean to set up the monsoon circulation Once established, a positive feedback between circulation and latent heat release maintains the monsoon The year to year variations in the seasonal (June – September) summer monsoon rains over India are influenced internal dynamics and external drivers Long-term climatology of total rainfall over India during (1 Jun - 30 Sep) summer monsoon season (http://www.tropmet.res.in) Interannual variability of the Indian Summer Monsoon Rainfall Primary synoptic & smaller scale circulation features that affect cloudiness & precipitation. Locations of June to September rainfall exceeding 100 cm over the land west of 100oE associated with the southwest monsoon are indicated (Source: Rao, 1981). Multi-scale interactions Low frequency Synoptic Systems:Lows, sub-seasonal Depressions, MTC variability – Large scale Active and monsoon Break monsoon Organized convection, Embedded mesoscale systems , heavy rainfall (intensity > 10 cm/day) Winds at 925hPa DJF West African Monsoon Asian Monsoon Austral Monsoon JJA Courtesy: J.M. Slingo, Univ of Reading Land/Sea Temperature contrasts Nov./Dec. West African Monsoon Asian Monsoon Austral Monsoon May/June Courtesy: -
Precipitation Type Graphic Documentation Page
Precipitation Type Graphic Documentation Page Purpose: The National Weather Service in Caribou and Gray has created graphics that easily display precipitation types for mixed winter weather events. These graphics can be used by core customers for briefing purposes on upcoming winter events. Product Creation: These graphics are created automatically when each individual weather forecast office updates the official forecast. An individual forecast graphic will be created in 3 hour increments through the first 24 hours, then in 6 hour increments thereafter through 120 hours (5 days). Depending on how many forecast updates will dictate how often these graphics are created, but on average the first 24 hour forecast will be updated 6 times a day and the day 2 to 5 period will be updated twice daily (~ 3 p.m. and 3 a.m.). Product Location: Graphics will be hosted via the NWS Internet pages at the following URL: http://www.weather.gov/car/WeatherTypeCovForecast Note: The URL will be hidden for the first test season (winter 2015-16) and will only be available for a small test group to evaluate the graphics. Precipitation Type Graphic Example: The precipitation type page consists of the main graphic with the toggle commands at the bottom of the page. See image below for number reference locations: 1. Valid Time – Provides you with the graphic valid time in either 3hr or 6hr forecast time periods 2. Legend – Simple legend that explains what the precipitation type graphic colors are representing (a more detailed description of this legend is in the following section of this document). -
A Comprehensive Observational Study of Graupel and Hail Terminal Velocity, Mass Flux, and Kinetic Energy
NOVEMBER 2018 H E Y M S F I E L D E T A L . 3861 A Comprehensive Observational Study of Graupel and Hail Terminal Velocity, Mass Flux, and Kinetic Energy ANDREW HEYMSFIELD National Center for Atmospheric Research, Boulder, Colorado MIKLÓS SZAKÁLL AND ALEXANDER JOST Institute for Atmospheric Physics, Johannes Gutenberg University, Mainz, Germany IAN GIAMMANCO Insurance Institute for Business and Home Safety, Richburg, South Carolina ROBERT WRIGHT RLWA and Associates, Houston, Texas (Manuscript received 2 February 2018, in final form 24 August 2018) ABSTRACT This study uses novel approaches to estimate the fall characteristics of hail, covering a size range from about 0.5 to 7 cm, and the drag coefficients of lump and conical graupel. Three-dimensional (3D) volume scans of 60 hailstones of sizes from 2.5 to 6.7 cm were printed in three dimensions using acrylonitrile butadiene styrene (ABS) plastic, and their terminal velocities were measured in the Mainz, Germany, vertical wind tunnel. To simulate lump graupel, 40 of the hailstones were printed with maximum dimensions of about 0.2, 0.3, and 0.5 cm, and their terminal velocities were measured. Conical graupel, whose three dimensions (maximum dimension 0.1–1 cm) were estimated from an analytical representation and printed, and the terminal veloc- ities of seven groups of particles were measured in the tunnel. From these experiments, with printed particle 2 densities from 0.2 to 0.9 g cm 3, together with earlier observations, relationships between the drag coefficient and the Reynolds number and between the Reynolds number and the Best number were derived for a wide range of particle sizes and heights (pressures) in the atmosphere. -
Downloaded 09/24/21 05:27 PM UTC Fig
Using Citizen Science Reports to Evaluate Estimates of Surface Precipitation Type BY SHENG CHEN, JONATHAN J. GOURLEY, YANG HONG, QING CAO, NICHOLAS CARR, PIERRE-EMMANUEL KIRSTETTER, JIAN ZHANG, AND ZAC FLAMIG he Multi-Radar Multi-Sensor (MRMS) system tree logic. To date, there has not yet been a system- uses data from the Next Generation Radar net- atic evaluation of the MRMS surface precipitation T work (NEXRAD) combined with model analyses type products beyond case studies. An opportunity from the Rapid Refresh (RAP) system to provide pre- exists to employ newly collected citizen-scientist (also cipitation rate and type products on a grid with 1-km referred to as “crowdsourced”) reports made possible horizontal resolution every 2 min (Zhang et al. 2011). through the meteorological Phenomena Indication The model analysis fields were found to be useful for Near the Ground (mPING) project to accomplish estimating precipitation type at the surface, which algorithm evaluations (Elmore et al. 2014). differs from the various Hydrometeor Classification Human weather observers have the ability to use Algorithms (HCA) designed to identify hydrometeors multiple clues in order to make a decision about at the height of radar sampling (e.g., Park et al. 2008). a given precipitation type. They typically begin These sampled hydrometeors undergo changes in with eyesight in order to assess the fall speed of the terms of their sizes, shapes, orientation, and phase as hydrometeor, its color, size, and shape. If uncertainty they fall and reach the surface. During the cool-season remains, then they may use other observations such months, these changes often occur below the height as touch to determine its phase (liquid, frozen, or of radar sampling. -
An Improved Representation of Rimed Snow and Conversion to Graupel in a Multicomponent Bin Microphysics Scheme
MAY 2010 M O R R I S O N A N D G R A B O W S K I 1337 An Improved Representation of Rimed Snow and Conversion to Graupel in a Multicomponent Bin Microphysics Scheme HUGH MORRISON AND WOJCIECH W. GRABOWSKI National Center for Atmospheric Research,* Boulder, Colorado (Manuscript received 13 July 2009, in final form 22 January 2010) ABSTRACT This paper describes the development of a new multicomponent detailed bin ice microphysics scheme that predicts the number concentration of ice as well as the rime mass mixing ratio in each mass bin. This allows for local prediction of the rime mass fraction. In this approach, the ice particle mass size, projected area size, and terminal velocity–size relationships vary as a function of particle mass and rimed mass fraction, based on a simple conceptual model of rime accumulation in the crystal interstices that leads to an increase in particle mass, but not in its maximum size, until a complete ‘‘filling in’’ with rime and conversion to graupel occurs. This approach allows a natural representation of the gradual transition from unrimed crystals to rimed crystals and graupel during riming. The new ice scheme is coupled with a detailed bin representation of the liquid hy- drometeors and applied in an idealized 2D kinematic flow model representing the evolution of a mixed-phase precipitating cumulus. Results using the bin scheme are compared with simulations using a two-moment bulk scheme employing the same approach (i.e., separate prediction of bulk ice mixing ratio from vapor deposition and riming, allowing for local prediction of bulk rime mass fraction). -
Observation of Present and Past Weather; State of the Ground
CHAPTER CONTENTS Page CHAPTER 14. OBSERVATION OF PRESENT AND PAST WEATHER; STATE OF THE GROUND .. 450 14.1 General ................................................................... 450 14.1.1 Definitions ......................................................... 450 14.1.2 Units and scales ..................................................... 450 14.1.3 Meteorological requirements ......................................... 451 14.1.4 Observation methods. 451 14.2 Observation of present and past weather ...................................... 451 14.2.1 Precipitation. 452 14.2.1.1 Objects of observation ....................................... 452 14.2.1.2 Instruments and measuring devices: precipitation type ........... 452 14.2.1.3 Instruments and measuring devices: precipitation intensity and character ............................................... 454 14.2.1.4 Instruments and measuring devices: multi-sensor approach ....... 455 14.2.2 Atmospheric obscurity and suspensoids ................................ 455 14.2.2.1 Objects of observation ....................................... 455 14.2.2.2 Instruments and measuring devices for obscurity and suspensoid characteristics .................................... 455 14.2.3 Other weather events ................................................ 456 14.2.3.1 Objects of observation ....................................... 456 14.2.3.2 Instruments and measuring devices. 457 14.2.4 State of the sky ...................................................... 457 14.2.4.1 Objects of observation ...................................... -
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. -
Graupel Or Hailstone), Some Negative Ions Transferred to the Colder Object What Causes the Charge Distribution? Part 2
ATM 10 Severe and Unusual Weather Prof. Richard Grotjahn L 15/16 http://canvas.ucdavis.edu/ Lecture topics: • Lightning – Formation of charge conditions – Demonstrations – Various types – Climatology – Damage – Safety do’s and don’ts – videos • Hail – Formation – Locations – Damage Short Video Segments • Lightning – Daytime lightning & sound (10 sec, .mov) – Night, slow crawlers (18 sec, mpg) – Night, city (10 sec, mpg) What is lightning? • A very large spark • Traveling through a poor conductor (air) What is thunder? • Lightning instantly heats air to ~30,000 C (~54,000 F)! • Heated air expands (ideal gas law) compressing adjacent air • Sound wave (thunder) is created Perceiving Thunder • Air attenuates (absorbs) sound, removing high frequencies sooner than low • You hear high pitch “Crack!” (from that part of lightning close to you) • followed by low rumbles for that part of lightning furthest away • Sound waves (like light) refract (bend) towards cooler air (recall mirages) • If you are too far away (~15km) you may not hear it, though you see a flash “heat lightning” • Sound travels • 1 km in 3 seconds • 1 mile in 5 seconds bolt traveling horizontally towards camera, then dipping to the ground Lightning Bolt = Giant Spark 1. Negative charge in cloud base attracts positive charge on ground (esp. high pts) 2. "Stepped leader" steps downward 50-100m at a time -- creates the jagged shape. Each step ~ 50/1,000,000 second 3. When step leader nears the ground, ground leaders may rise from taller objects 4. << BOOM!>> -- positive charge rushes up: this is much brighter RETURN STROKE. A short circuit. The stepped leader made the air conducting along that path and the return stroke follows that easier path. -
Climate Modeling in Las Leñas, Central Andes of Argentina
Glacier - climate modeling in Las Leñas, Central Andes of Argentina Master’s Thesis Faculty of Science University of Bern presented by Philippe Wäger 2009 Supervisor: Prof. Dr. Heinz Veit Institute of Geography and Oeschger Centre for Climate Change Research Advisor: Dr. Christoph Kull Institute of Geography and Organ consultatif sur les changements climatiques OcCC Abstract Studies investigating late Pleistocene glaciations in the Chilean Lake District (~40-43°S) and in Patagonia have been carried out for several decades and have led to a well established glacial chronology. Knowledge about the timing of late Pleistocene glaciations in the arid Central Andes (~15-30°S) and the mechanisms triggering them has also strongly increased in the past years, although it still remains limited compared to regions in the Northern Hemisphere. The Southern Central Andes between 31-40°S are only poorly investigated so far, which is mainly due to the remoteness of the formerly glaciated valleys and poor age control. The present study is located in Las Leñas at 35°S, where late Pleistocene glaciation has left impressive and quite well preserved moraines. A glacier-climate model (Kull 1999) was applied to investigate the climate conditions that have triggered this local last glacial maximum (LLGM) advance. The model used was originally built to investigate glacio-climatological conditions in a summer precipitation regime, and all previous studies working with it were located in the arid Central Andes between ~17- 30°S. Regarding the methodology applied, the present study has established the southernmost study site so far, and the first lying in midlatitudes with dominant and regular winter precipitation from the Westerlies. -
NATS 101 Section 13: Lecture 22 Fronts
NATS 101 Section 13: Lecture 22 Fronts Last time we talked about how air masses are created. When air masses meet, or clash, the transition zone is called a front. The concept of “fronts” in weather developed from the idea of the front line of battle, specifically in Europe during World War I How are weather fronts analogous to battle fronts in a war? Which air mass “wins” depends on what type of front it is. Four types of fronts COLD FRONT: Cold air overtakes warm air. B to C WARM FRONT: Warm air overtakes cold air. C to D OCCLUDED FRONT: Cold air catches up to the warm front. C to Low pressure center STATIONARY FRONT: No movement of air masses. A to B Fronts and Extratropical Cyclones Feb. 24, 2007 Case In mid-latitudes, fronts are part of the structure of extratropical cyclones. Extratropical cyclones form because of the horizontal temperature gradient. How are they a part of the general circulation? Type of weather and air masses in relation to fronts: Feb. 24, 2007 case mPmP cPcP mTmT Characteristics of a front 1. Sharp temperature changes over a short distance 2. Changes in moisture content 3. Wind shifts 4. A lowering of surface pressure, or pressure trough 5. Clouds and precipitation We’ll see how these characteristics manifest themselves for fronts in North America using the example from Feb. 2007… COLDCOLD FRONTFRONT Horizontal extent: About 50 km AHEAD OF FRONT: Warm and southerly winds. Cirrus or cirrostratus clouds. Called the warm sector. AT FRONT: Pressure trough and wind shift.