Ott Parsivel - Enhanced Precipitation Identifier for Present Weather, Drop Size Distribution and Radar Reflectivity - Ott Messtechnik, Germany
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Snow Nowcasting Using a Real-Time Correlation of Radar Reflectivity
20 JOURNAL OF APPLIED METEOROLOGY VOLUME 42 Snow Nowcasting Using a Real-Time Correlation of Radar Re¯ectivity with Snow Gauge Accumulation ROY RASMUSSEN AND MICHAEL DIXON National Center for Atmospheric Research, Boulder, Colorado STEVE VASILOFF National Severe Storms Laboratory, Norman, Oklahoma FRANK HAGE,SHELLY KNIGHT,J.VIVEKANANDAN, AND MEI XU National Center for Atmospheric Research, Boulder, Colorado (Manuscript received 21 November 2001, in ®nal form 13 June 2002) ABSTRACT This paper describes and evaluates an algorithm for nowcasting snow water equivalent (SWE) at a point on the surface based on a real-time correlation of equivalent radar re¯ectivity (Ze) with snow gauge rate (S). It is shown from both theory and previous results that Ze±S relationships vary signi®cantly during a storm and from storm to storm, requiring a real-time correlation of Ze and S. A key element of the algorithm is taking into account snow drift and distance of the radar volume from the snow gauge. The algorithm was applied to a number of New York City snowstorms and was shown to have skill in nowcasting SWE out to at least 1 h when compared with persistence. The algorithm is currently being used in a real-time winter weather nowcasting system, called Weather Support to Deicing Decision Making (WSDDM), to improve decision making regarding the deicing of aircraft and runway clearing. The algorithm can also be used to provide a real-time Z±S relationship for Weather Surveillance Radar-1988 Doppler (WSR-88D) if a well-shielded snow gauge is available to measure real-time SWE rate and appropriate range corrections are made. -
Quantitative Interpretation of Laser Ceilometer Intensity Profiles
396 JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY VOLUME 14 Quantitative Interpretation of Laser Ceilometer Intensity Pro®les R. R. ROGERS AND M.-F. LAMOUREUX Atmospheric and Oceanic Sciences, McGill University, Montreal, Quebec, Canada L. R. BISSONNETTE Defence Research Establishment Valcartier, Courcelette, Quebec, Canada R. M. PETERS Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania (Manuscript received 23 July 1996, in ®nal form 28 October 1996) ABSTRACT The authors have used a commercially available laser ceilometer to measure vertical pro®les of the optical extinction in rain. This application requires special signal processing to correct the raw data for the effects of receiver noise, high-pass ®ltering, and the incomplete overlap of the transmitted beam with the receiver ®eld of view at close range. The calibration constant of the ceilometer, denoted by C, is determined from the pro®le of the corrected returned power in conditions of moderate attenuation in which the power is completely extin- guished over a distance on the order of 1 km. In this determination, the value of the backscatter-to-extinction ratio k of the scattering medium must be speci®ed and an allowance made for the effects of multiple scattering. These requirements impose an uncertainty on C that can amount to 650%. An alternative to determining the calibration constant is explained, which does not require specifying k, although it assumes that k is constant with height. Using this alternative approach, the authors have estimated many extinction pro®les in rain and compared them with radar re¯ectivity pro®les measured with a UHF boundary layer wind pro®ler. -
Operating Instructions Present Weather Sensor Parsivel
Operating instructions Present Weather Sensor Parsivel English We reserve the right to make technical changes! Table of contents 1 Scope of delivery 5 2 Part numbers 5 3 Parsivel Factory Settings 6 4 Safety instructions 7 5 Introduction 8 5.1 Functional principle 8 5.2 Connection Options for the Parsivel 9 6 Installing the Parsivel 10 6.1 Cable Selection 10 6.2 Wiring the Parsivel 11 6.3 Grounding the Parsivel 13 6.4 Installing the Parsivel 14 7 Connecting the Parsivel to a data logger 15 7.1 Connecting the Parsivel to the LogoSens Station Manager via RS-485 interface 15 7.2 Connecting the Parsivel to a Data logger via the SDI-12 Interface 17 7.3 Connecting the Parsivel to a Data Logger with Impulse/Status Input 21 8 Connecting the Parsivel to a PC 23 8.1 Connecting the Parsivel to Interface Converter RS-485/RS-232 (Accessories) 23 8.2 Connecting the Parsivel to the ADAM-4520 Converter RS-485/RS-232 (Accessories) 25 8.3 Connecting the Parsivel to Interface Converter RS-485/USB (Accessories) 26 8.4 Connecting the Parsivel to any RS-485 Interface Converter 27 8.5 Connecting the Parsivel for configuration via the Service-Tool to a PC 27 9 Connecting the Parsivel to a Power Supply (Accessory) 29 10 Heating the Parsivel sensor heads 30 11 Operating Parsivel with a Terminal software 31 11.1 Set up communications between the Parsivel and the terminal program 31 11.2 Measured value numbers 32 11.3 Defining the formatting string 33 11.4 OTT telegram 33 11.5 Updating Parsivel Firmware 34 12 Maintenance 36 12.1 Cleaning the laser’s protective glass -
Disdrometer Performance Optimization for Use in Urban Settings Based on the Parameters That Affect the Measurements
S S symmetry Article Disdrometer Performance Optimization for Use in Urban Settings Based on the Parameters that Affect the Measurements Ferran Mocholí Belenguer 1,* , Antonio Martínez-Millana 2 , Antonio Mocholí Salcedo 3 , Víctor Milián Sánchez 4 and María Josefa Palomo Anaya 4 1 Traffic Control Systems Group, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, Spain 2 SABIEN Group, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, Spain; [email protected] 3 Department of Electronic Engineering, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, Spain; [email protected] 4 Chemical and Nuclear Engineering Department, Institute of Industrial, Radiological and Environmental Safety, Universitat Politècnica de València, 46022 Valencia, Spain; [email protected] (V.M.S.); [email protected] (M.J.P.A.) * Correspondence: [email protected]; Tel.: +34-610833056 Received: 15 November 2019; Accepted: 13 February 2020; Published: 20 February 2020 Abstract: There are currently different types of commercial optical disdrometers to measure the rainfall intensity, of which many are commonly used for monitoring road conditions. Having information about the amount of rain, the composition of the precipitation particles and visibility are essential to avoid accidents, which requires intelligent systems that warn drivers and redirect traffic. However, few studies related to Intelligent Transport Systems (ITS) have been performed regarding why these devices are not optimized for this type of applications. Therefore, this paper analyzes and evaluates the operating mode of these equipment through their theoretical model, which will allow the design of prototypes of disdrometers with different characteristics. In addition, this model will be implemented in a simulation program, through which an exhaustive study analyzing how the type of precipitation and its intensity affect the measures provided by the model will be conducted. -
How to Get Weather and Pest Data?
How to get weather and pest data? François Brun (ACTA) with contributions of the other lecturers IPM CC, October 2016 Which data ? • Weather and Climate – Weather : conditions of the atmosphere over a short period of time – climate : atmosphere behavior over relatively long periods of time. • Pest and Disease data – Effects of conditions : experiments – Epidemiology : observation / monitoring networks Weather and Climate data Past Weather Historical Climate Data – Ground weather station – Average and variability – Satellite,… – Real long time series – Reconstituted long series – Simulated long series (1961- 1990 : reference) Forecast Weather Climate projections – Prediction with model – Prediction with model – Short term : 1h, 3h, 12h, 24, – IPCC report 3 day, 15 day. – 2021-2050 : middle of – Seasonal prediction : 1 to 6 century period months (~ el nino ) – 2071-2100 : end of century period Past Weather data Standard weather station Standard : at 2 m height • Frequent Useful for us – Thermometer : temperature – Anemometer : wind speed – Wind vane : wind direction – Hygrometer : humidity – Barometer : atmospheric pressure • Less frequent – Ceilometer : cloud height – Present weather sensor – Visibility sensor – Rain gauge : liquid-equivalent precipitation – Ultrasonic snow depth sensor for measuring depth of snow © Choi – Pyranometer : solar radiation Past Weather data In field / micro weather observations Wetness duration Temperature and humidity in canopy Water in soil © Choi Past Weather data Where to retrieve them ? • Your own weather -
ICICLE Program Updates (Stephanie Divito, FAA)
In-Cloud ICing and Large-drop Experiment Stephanie DiVito, FAA October 13, 2020 New FAA Flight program: ICICLE In-Cloud ICing and Large-drop Experiment Other Participants: Desert Research Institute (DRI), National Oceanic and Atmospheric Association (NOAA) Earth System Research Laboratory (ESRL), National Aeronautics and Space Administration (NASA) Langley Research Center, Meteo-France, UK Met Office, Deutscher Wetterdienst (German Meteorological Office), Northern Illinois University, Iowa State University, University of Illinois at Urbana-Champaign, and Valparaiso University 10/13/2020 FPAW: ICICLE 2 Flight Program Overview • January 27 – March 8, 2019 • Operations Base: Rockford, Illinois – Domain: 200 nmi radius • NRC Convair-580 aircraft – Owned and operated by NRC Flight Research Laboratory – Jointly instrumented by NRC and ECCC – Extensively used in icing research for over 25 years • 120 flight hours (110 for research) • 26 research flights (30 total) 10/13/2020 FPAW: ICICLE 3 Scientific & Technical Objectives • Observe, document, and further characterize a variety of in-flight and surface-level icing conditions – Environmental parameters and particle size distribution for: . Small-drop icing, FZDZ and FZRA – Transitions between those environments & non-icing environments – Synoptic, mesoscale & local effects • Assess ability of operational data, icing tools and products to diagnose and forecast those features – Satellite – GOES-16 – Radar – Individual NEXRADs, MRMS – Surface based – ASOS, AWOS, etc. – Numerical Weather Prediction (NWP) models – Microphysical parameterizations, TLE, etc. – Icing Products - CIP, FIP, other icing tools 10/13/2020 FPAW: ICICLE 4 Sampling Objectives (1/2) • Collect data in a wide variety of icing and non-icing conditions – Small-drop and large-drop . Including those with (& without) FZDZ and FZRA – Null icing environments . -
Thies Laser Precipitation Monitor
Instruction for Use 021341/07/11 Laser Precipitation Monitor 5.4110.xx.x00 V2.5x STD WEATHER DATA - THE WORLD OF INVISIBLE LASER RADIATION DO NOT VIEW DIRECTLY WITH OPTICAL INSTRUMENTS CLASS 1M LASER PRODUCT ADOLF THIES GmbH & Co. KG Hauptstraße 76 37083 Göttingen Germany Box 3536 + 3541 37025 Göttingen Phone +49 551 79001-0 Fax +49 551 79001-65 www.thiesclima.com [email protected] THE WORLD OF WEATHER DATA - Safety Instructions • Before operating with or at the device/product, read through the operating instructions. This manual contains instructions which should be followed on mounting, start-up, and operation. A non-observance might cause: - failure of important functions - Endangering of persons by electrical or mechanic effect - Damages at objects • Mounting, electrical connection and wiring of the device/product must be carried out only by a qualified technician who is familiar with and observes the engineering regulations, provisions and standards applicable in each case. • Repairs and maintenance may only be carried out by trained staff or Adolf Thies GmbH & Co. KG. Only components and spare parts supplied and/or recommended by Adolf Thies GmbH & Co. KG should be used for repairs. • Electrical devices/products must be mounted and wired only in voltage-free state. • Adolf Thies GmbH & Co KG guarantees proper functioning of the device/products provided that no modifications have been made to the mechanics, electronics or software, and that the following points are observed: • All information, warnings and instructions for use included in these operating instructions must be taken into account and observed as this is essential to ensure trouble-free operation and a safe condition of the measuring system / device / product. -
Gauge and Radarradargauge
GaGaugugeeaandndRRaadadarr PPaaoo--LLiaiangngChaChangng CentCentrarallWWeaeattherherBBurureaeau,u,TTaaiwiwaann A Training Course on Quantitative Precipitation Estimation/Forecasting (QPE/QPF) Crowne Plaza Manila Galleria, Quezon City, Philippines 27-30 March 2012 OOuutlitlinnee RaRadadarraandndGGaaugugeeNetNetwwoorkrkininTTaaiwiwaann RaRadadarrDaDattaaQQCCususingingRefReflectlectivivitityyaandnd RaRainfinfaallllClimClimaattoolologgyy RaRadadarrQQPPEEaandndGGaaugugee--cocorrrrectectededQQPPEE OOututloloookk 2 OOppeerratiationonalalRRadadararNNeetwtwororkkiinnTTaiaiwwanan RRCCWWFF RRCCCCKK RRCCHHLL RRCCMMKK RRCCCCGG RRCCKKTT CCWBWB::RRCCWFWF,,RRCCHHLL,,RRCCKKTT,,RRCCCCGG((DDopoppplleerr,,wwaveavelleenngtgthh::10c10cmm)) AAiirrFFororccee::RRCCCCKK,,RRCCMMKK((dduualal--ppololarariizzatatiionon,,wwaveavelleenngtgthh::5c5cmm)) Taiwan operational radar network basic information RCWF RCHL RCCG RCKT RCCK RCMK Observation Range (km) 460,230 460,230 460,230 460,230 460,160 460,160 (Z,Vr) Gematronik Gematronik Gematronik Gematronik Gematronik Type WSR-88D 1500S 1500S 1500S 1500C 1500C Height (m) 766 63 38 42 203 48 Wavelength (cm) 10 10 10 10 5 5 Polarization Single Single Single Single Dual Dual Max. Unambiguous 26.55 21.15 21.15 49.5 49.5 49.5 Velocity (m/s) GGaaugugeeStStaattioionsns inin TTaaiwiwaann Data from CWB and Gov. agencies (WRA, SWCB,TPC,..) •All Gauge stations ~570 stations •Overland ~560 stations MMeaeannGGaaugugeeSpaSpacingcing ffrroommCWBCWBSitSiteses((dadattaainin22000077)) Number of Gauges CoConceptnceptooffRefReflectlectivivitityyClimClimaattoolologgyy -
Comparison of the Compact Dopplar Radar Rain Gauge and Optical
Short Paper J. Agric. Meteorol. 67 (3): 199–204, 2011 Comparison of the compact dopplar radar rain gauge and optical disdrometer Ko NAKAYA†, and Yasushi TOYODA (Central Research Institute of Electric Power Industry, 1646 Abiko, Abiko, Chiba, 270–1194, Japan) Abstract The operations of a compact Doppler radar rain gauge (R2S; Rufft, FRG) and optical disdrometer (LPM; THIES, FRG) are based on raindrop size distribution (DSD) measurements. We checked the instrumental error of these sensors and compared each sensor with a reference tipping-bucket rain gauge. This is because both rain gauges can detect fine particles and so they can function as rain sensors. The R2S has a measuring bias of rainfall intensity when the drop size distribution differs from the assumed statistical DSD model. The instrumental error on the LPM is small; in fact, the LPM shows good agreement with the reference rain gauge. Where the atmospheric density differs remarkably from the standard elevation, as is the case in highland areas, the R2S requires calibration using a reference rain gauge. The resultant calibration coefficient of the R2S to convert the reading into a reference tip- ping-bucket rain-gauge equivalent was 0.51 in a forest at an elevation of 1380 m. Further gathering of calibration coefficients obtained at different elevations will improve the R2S’s applicability. Key words: Doppler radar rain gauge, Drop size distribution, Optical disdrometer, Tipping-bucket rain gauge. Although the accuracy and suggested errors of rainfall 1. Introduction observations using typical Doppler radar have been Rainfall properties, such as the intensity, amount, reviewed in many studies (Maki et al., 1998, for duration, and type, constitute important meteorological example), reviews for the R2S compared to a reference information that is useful for agriculture and forestation rain gauge are few. -
Launching of New RS90-AG Radiosonde Valuable
40813_VaisalaNews_155 7.12.2000 18:29 Sivu 1 155/2001155/2001 After Extensive Field Testing: Launching of New RS90-AG Radiosonde Customer Satisfaction Survey for WOBS Customers: Valuable Customer Feedback Using Product Platforms: Next Generation of Surface Weather Software Products New ROSA Weather Station Generation: Evolution Rather Than Revolution 40813_VaisalaNews_155 7.12.2000 18:29 Sivu 2 Contents President’s Column 3 Serving Better Our Customers 4 Customer Satisfaction Survey for WOBS Customers: Valuable Customer Feedback 6 Next Generation of Surface Weather Software Products 8 Meteorological Data Management System: Aurora’s payload system was MetMan for Multi-purpose Data Collection 10 developed for high altitude dropsonde missions, for use on Compact MAWS301 Automatic Weather Station 12 low speed platforms such as Demanding Tactical Military Needs 14 Pathfinder, Altus and Perseus B. Due to funding cuts, the Vaisala Technology for the U.S. Air Force 17 dropsonde payload was not Military Exhibition EUROSATORY 2000 in France 18 permitted to be deployed and Climatological Conditions on the My Thuan Bridge 19 operated from Pathfinder. Nevertheless, Aurora tested and Major Contract from the U.S. qualified the payload for flight, National Weather Service 20 using its high altitude test Using L and S-Band Boundary Layer Radars and a chambers. Vaisala’s dropsondes were an integral part of this Millimeter-wave Doppler Radar with Vaisala MAWS: scientific experiment. Weather Observations 20 Researchers are using dropson- Royal Botanic Gardens Melbourne: des to get a more accurate pic- Fostering Plant Conservation 24 ture of hurricanes. Fire RAWS Unit on the Bircher Burned Over 26 Launching of RS90-AG Radiosonde 29 Vaisala’s MAWS301 Automatic Global Positioning System 31 Weather Station is a new gener- ation weather station especially Significant Radiosonde Order designed for applications where from Met Service Canada 32 no commercial power or com- Vaisala’s Next Generation munication networks are avail- 32 able or economically installed. -
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1182 MONTHLY WEATHER REVIEW VOLUME 141 Drop-Size Distributions in Thunderstorms Measured by Optical Disdrometers during VORTEX2 KATJA FRIEDRICH AND EVAN A. KALINA University of Colorado, Boulder, Colorado FORREST J. MASTERS AND CARLOS R. LOPEZ University of Florida, Gainesville, Florida (Manuscript received 13 April 2012, in final form 22 October 2012) ABSTRACT When studying the influence of microphysics on the near-surface buoyancy tendency in convective thun- derstorms, in situ measurements of microphysics near the surface are essential and those are currently not provided by most weather radars. In this study, the deployment of mobile microphysical probes in con- vective thunderstorms during the second Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2) is examined. Microphysical probes consist of an optical Ott Particle Size and Velocity (PARSIVEL) disdrometer that measures particle size and fall velocity distributions and a surface obser- vation station that measures wind, temperature, and humidity. The mobile probe deployment allows for targeted observations within various areas of the storm and coordinated observations with ground-based mobile radars. Quality control schemes necessary for providing reliable observations in severe environ- ments with strong winds and high rainfall rates and particle discrimination schemes for distinguishing be- tween hail, rain, and graupel are discussed. It is demonstrated how raindrop-size distributions for selected cases can be applied to study size-sorting and microphysical processes. The study revealed that the raindrop-size distribution changes rapidly in time and space in convective thunderstorms. Graupel, hailstones, and large raindrops were primarily observed close to the updraft region of thunderstorms in the forward- and rear-flank downdrafts and in the reflectivity hook appendage. -
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 ......................................