The West Texas Mesonet: a Technical Overview
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High Concentrations of Biological Aerosol Particles and Ice Nuclei Open Access During and After Rain Biogeosciences Biogeosciences Discussions J
EGU Journal Logos (RGB) Open Access Open Access Open Access Advances in Annales Nonlinear Processes Geosciences Geophysicae in Geophysics Open Access Open Access Natural Hazards Natural Hazards and Earth System and Earth System Sciences Sciences Discussions Open Access Open Access Atmos. Chem. Phys., 13, 6151–6164, 2013 Atmospheric Atmospheric www.atmos-chem-phys.net/13/6151/2013/ doi:10.5194/acp-13-6151-2013 Chemistry Chemistry © Author(s) 2013. CC Attribution 3.0 License. and Physics and Physics Discussions Open Access Open Access Atmospheric Atmospheric Measurement Measurement Techniques Techniques Discussions Open Access High concentrations of biological aerosol particles and ice nuclei Open Access during and after rain Biogeosciences Biogeosciences Discussions J. A. Huffman1,2, A. J. Prenni3, P. J. DeMott3, C. Pohlker¨ 2, R. H. Mason4, N. H. Robinson5, J. Frohlich-Nowoisky¨ 2, Y. Tobo3, V. R. Despres´ 6, E. Garcia3, D. J. Gochis7, E. Harris2, I. Muller-Germann¨ 2, C. Ruzene2, B. Schmer2, 2,8 9 2 9 5 3 4 Open Access B. Sinha , D. A. Day , M. O. Andreae , J. L. Jimenez , M. Gallagher , S. M. Kreidenweis , A. K. Bertram , and Open Access U. Poschl¨ 2 Climate 1 Climate Department of Chemistry and Biochemistry, University of Denver, 2190 E. Illif Ave., Denver, CO, 80208, USA of the Past 2Max Planck Institute for Chemistry, P.O. Box 3060, 55020, Mainz, Germany of the Past 3Department of Atmospheric Science, Colorado State University, 1371 Campus Delivery, Fort Collins, CO, 80523, USA Discussions 4Department of Chemistry, University of British Columbia, Room D223, 2036 Main Mall, Vancouver, BC, V6T1Z1, Canada Open Access 5Centre for Atmospheric Sciences, University of Manchester, Simon Building, Oxford Road, Manchester, M139PL, UK Open Access 6Institute for General Botany, Johannes Gutenberg University, Mullerweg¨ 6, 55099, Mainz,Earth Germany System Earth System 7National Center for Atmospheric Research, P.O. -
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. -
Retrieving Wind Speed and Direction from WSR-88D Single- Doppler Measurements of Thunderstorm Winds
6th American Association for Wind Engineering Workshop (online) Clemson University, Clemson, SC, USA May 12-14, 2021 Retrieving wind speed and direction from WSR-88D single- Doppler measurements of thunderstorm winds Ibrahim Ibrahima,*, Gregory A. Kopp b, David M. L. Sills c a Northern Tornadoes Project (Western University), London, ON, Canada, [email protected] b Northern Tornadoes Project (Western University), London, ON, Canada, [email protected] c Northern Tornadoes Project (Western University), London, ON, Canada, [email protected] ABSTRACT: The evaluation of wind load values is dependent on the historical wind speeds recorded by field measurements, mainly anemometers. Such one-point measurement procedure is sufficient for dealing with structures of smaller scales. Nevertheless, special structures like long-span bridges and electricity transmission lines need a more comprehensive procedure, especially for regions prone to extreme wind events of limited size like thunderstorms. These events are less probable to be picked up by one-point measurements. Accordingly, the current study explores the use of Doppler weather radar measurements to estimate wind speeds associated with thunderstorm weather systems. The study estimates localized wind speeds down to the scale of hundreds of meters by implementing an algorithm to separate different weather systems within each radar scan and resolving them separately. The estimated peak event wind speeds are compared with ASOS anemometer measurements for comparison. Keywords: Doppler Radar, Wind Retrieval, NEXRAD, Non-synoptic Wind 1. BACKGROUND Providing loading guidelines for the design of safe structures is one of the main concerns of Wind Engineering. Extreme value analysis is performed on a set of historical wind speed anemometer recordings. -
Measurement of Precipitation
CHAPTER CONTENTS Page CHAPTER 6. MEASUREMENT OF PRECIPITATION ..................................... 186 6.1 General ................................................................... 186 6.1.1 Definitions ......................................................... 186 6.1.2 Units and scales ..................................................... 186 6.1.3 Meteorological and hydrological requirements .......................... 187 6.1.4 Measurement methods .............................................. 187 6.1.4.1 Instruments ................................................ 187 6.1.4.2 Reference gauges and intercomparisons ........................ 188 6.1.4.3 Documentation. 188 6.2 Siting and exposure ........................................................ 189 6.3 Non-recording precipitation gauges .......................................... 190 6.3.1 Ordinary gauges .................................................... 190 6.3.1.1 Instruments ................................................ 190 6.3.1.2 Operation. 192 6.3.1.3 Calibration and maintenance ................................. 192 6.3.2 Storage gauges ..................................................... 192 6.4 Precipitation gauge errors and corrections ..................................... 193 6.5 Recording precipitation gauges .............................................. 196 6.5.1 Weighing-recording gauge ........................................... 196 6.5.1.1 Instruments ................................................ 196 6.5.1.2 Errors and corrections. 197 6.5.1.3 Calibration -
Meteorological Monitoring Guidance for Regulatory Modeling Applications
United States Office of Air Quality EPA-454/R-99-005 Environmental Protection Planning and Standards Agency Research Triangle Park, NC 27711 February 2000 Air EPA Meteorological Monitoring Guidance for Regulatory Modeling Applications Air Q of ua ice li ff ty O Clean Air Pla s nn ard in nd g and Sta EPA-454/R-99-005 Meteorological Monitoring Guidance for Regulatory Modeling Applications U.S. ENVIRONMENTAL PROTECTION AGENCY Office of Air and Radiation Office of Air Quality Planning and Standards Research Triangle Park, NC 27711 February 2000 DISCLAIMER This report has been reviewed by the U.S. Environmental Protection Agency (EPA) and has been approved for publication as an EPA document. Any mention of trade names or commercial products does not constitute endorsement or recommendation for use. ii PREFACE This document updates the June 1987 EPA document, "On-Site Meteorological Program Guidance for Regulatory Modeling Applications", EPA-450/4-87-013. The most significant change is the replacement of Section 9 with more comprehensive guidance on remote sensing and conventional radiosonde technologies for use in upper-air meteorological monitoring; previously this section provided guidance on the use of sodar technology. The other significant change is the addition to Section 8 (Quality Assurance) of material covering data validation for upper-air meteorological measurements. These changes incorporate guidance developed during the workshop on upper-air meteorological monitoring in July 1998. Editorial changes include the deletion of the “on-site” qualifier from the title and its selective replacement in the text with “site specific”; this provides consistency with recent changes in Appendix W to 40 CFR Part 51. -
Iowa (SMAPVEX16-IA) Experiment Plan
Soil Moisture Active Passive Validation Experiment 2016- Iowa (SMAPVEX16-IA) Experiment Plan Iowa Landscape July 2014 Ver. 5/20/16 Table of Contents 1. Introduction .........................................................................................................................8 1.1. Role of Field Campaigns in SMAP Cal/Val...................................................................8 1.2. Science Objectives for a Post-Launch SMAP Aircraft-Based Field Campaign ...............9 1.2.1. Investigate and resolve anomalous observations and products ...............................9 1.2.2. Improving up-scaling functions for CVS .............................................................. 10 1.2.3. Contribution to a broader scientific/application objective.................................... 10 1.2.4. Validate the L2SMAP algorithm process: pending new directions ....................... 13 2. SMAPVEX16 Aircraft Experiment Concept ...................................................................... 13 3. South Fork (SF), Iowa Study Area ..................................................................................... 13 3.1. General Description .................................................................................................... 13 3.2. Land Cover/Vegetation ............................................................................................... 14 3.3. Soils ............................................................................................................................ 15 3.4. Climate ...................................................................................................................... -
Anemometer Lesson
Anemometers: Measuring the Wind Objectives Students will: • Learn about anemometers. • Learn about engineering design. • Learn how engineering can help solve society's challenges. • Learn about teamwork and problem solving. Suggested Grade Level 3rd – 12th Subject Areas Science, Math, Engineering Timeline 45 minutes Standards • 3-PS2-1. Plan and conduct an investigation to provide evidence of the effects of balanced and unbalanced forces on the motion of an object. • 4-PS3-1. Use evidence to construct an explanation relating the speed of an object to the energy of that object. • 3-5-ETS1-1. Define a simple design problem reflecting a need or a want that includes specified criteria for success and constraints on materials, time, or cost. • 3-5-ETS1-2. Generate and compare multiple possible solutions to a problem based on how well each is likely to meet the criteria and constraints of the problem. • 3-5-ETS1-3. Plan and carry out fair tests in which variables are controlled and failure points are considered to identify aspects of a model or prototype that can be improved. • MS-ETS1-2. Evaluate competing design solutions using a systematic process to determine how well they meet the criteria and constraints of the problem. • HS-PS3-3. Design, build, and refine a device that works within given constraints to convert one form of energy into another form of energy. 21st Century Essential Skills • Critical thinking/Problem solving • Creativity/imagination • Collaboration and Teamwork Revised July/2019 Confidential and Proprietary to the Space Foundation • Carrying out investigations • Obtaining/evaluating/communicating ideas Background Weather patterns are a natural phenomenon that have been observed since the beginning of time. -
Turf Smart Solutions 2021 Product Catalog
TURF SMART SOLUTIONS 2021 PRODUCT CATALOG EASY ORDERING - REQUEST A QUOTE At Spectrum Technologies, we pride Online www.specmeters.com ourselves on helping our valued customers transform plant measurements into more E-mail [email protected] profitable growing decisions. Since 1987, Phone 1 (800) 248-8873 (Toll Free U.S. & Canada) we have manufactured and distributed affordable, leading-edge plant measurement 1 (815) 436-4440 technology to agricultural, horticultural, Fax 1 (815) 436-4460 environmental, and turf markets throughout the world, serving more than 3600 Thayer Court 14,000 customers in over 80 countries. Aurora, IL 60504 USA We proudly work alongside researchers, growers, golf course superintendents, Order Total Shipping/Handling (USA Only) and industry suppliers to provide a broad $25.01 to $99.99 $18.00 line of innovative devices and software Standard $100.00 to $499.99 $24.00 for better environmental monitoring, Ground Delivery: $500.00 to $999.99 $30.00 nutrient management, soil moisture $1,000.00 to $1,999.99 $35.00 measurement, irrigation scheduling, and Express Delivery: $2,000.00 to $2,999.99 $44.00 pest management. (Contact for charges) $3,000.00 to $4,999.99 $56.00 Canadian Delivery: $5,000.00 to $9,999.99 $78.00 (Contact for charges) 10,000 or more Contact for pricing Our products will positively impact the way you grow your turf; therefore, we stand behind every product with our 100% ORDERING INFORMATION Satisfaction Guarantee. Our friendly and Purchase Orders: We accept purchase orders from accredited universities, governments, businesses, and nonprofit organizations. Completed credit application knowledgeable product support team is may be required. -
Advanced Weather Monitoring for a Cable Stayed Bridge
Advanced weather monitoring for a Cable stayed bridge Chandrasekar Venkatesh June 11, 2018 Bachelors in Electrical and Electronics Engineering Ph.D. in Electrical Engineering Department of Electrical Engineering and Computer Science, College of Engineering and Applied Science Committee Chair: Dr. Arthur Helmicki Committee Members: Dr.Victor Hunt Dr. Douglas Nims Dr. Ali Minai Dr. William Wee Abstract In the northern United States, Canada, and many northern European countries, snow and ice pose serious hazards to motorists. Potential traffic disruptions caused by ice and snow are challenges faced by transportation agencies. Successful winter maintenance involves the selection and application of the most optimum strategy, over optimum time intervals. The risk associated with operating the bridges during winter emergencies varies depending on the size of the structure, the material of the stays, volume of average daily traffic, geographical location, nature of terrain and surroundings etc. The ‘Dashboard’, a monitoring system designed to help the bridge maintenance and operation personnel was developed at University of Cincinnati Infrastructure Institute. This was implemented at the Veterans Glass City Skyway Bridge in Toledo, Ohio. This system was also extended to the Port Mann Bridge in Vancouver, Canada. The aim of this research is to come up with an advanced monitoring system which will help the bridge management team make control actions during winter emergencies on the VGCS and Port Mann bridges. The current monitoring system gives information on the status of ice accumulation/ snow accretion or shedding based on last one hour’s weather data. This dissertation focuses on adding intelligence to the existing system through addition of sensors, identifying patterns in events, adding cost-benefit analysis and incorporating forecast parameters, while also extending the system to other bridges and structures. -
By: ESSA RAMADAN MOHAMMAD D F Superintendent of Stations Kuwait
By: ESSA RAMADAN MOHAMMAD Superintendent O f Stations Kuwait Met. Departmentt Geoggpyraphy and climate Kuwait consists mostly of desert and little difference in elevation. It has nine islands, the largest of which is Bubiyan, which is linked to the mainland by a concrete bridge. Summers (April to October) are extremely hot and dry with temperatures exceeding 51 °C(124°F) in Kuwait City several times during the hottest months of June, July and August. April and October are more moderate with temperatures over 40 °C uncommon . Winters (November through February) are cool with some precipitation and average temperatures around 13 °C(56°F) with extremes from ‐2 °Cto27°C. The spring season (Marc h) iswarmand pltleasant with occasilional thund ers torms. Surface coastal water temperatures range from 15 °C(59°F) in February to 35 °C(95°F) in August. The driest months are June through September, while the wettest are January through March. Thunderstorms and hailstorms are common in November, March and April when warm and moist Arabian Gulf air collides with cold air masses from Europe. One such thunderstorm in November 1997 dumped more than ten inches of rain on Kuwait. Kuwait Meteorology Dep artment Meteorological Department Forecasting Supervision Clima tes SiiSupervision Stations & Upper Air Supervision Communications Supervision Maintenance Supervision Stations and Upper air Supervision 1‐ SfSurface manned Sta tions & AWOS 2‐ upper air Stations & Ozone Kuwait Int. Airport Station In December 1962 one manned synoptic, climate, agro stations started to report on 24 hour basis and sending data to WMO Kuwait Int. Airport Station Kuwait started to observe and report meteorological data in the early 1940 with Kuwait Britsh oil company but most of the report were very limited. -
Ront November-Ddecember, 2002 National Weather Service Central Region Volume 1 Number 6
The ront November-DDecember, 2002 National Weather Service Central Region Volume 1 Number 6 Technology at work for your safety In this issue: Conceived and deployed as stand alone systems for airports, weather sensors and radar systems now share information to enhance safety and efficiency in the National Airspace System. ITWS - Integrated Jim Roets, Lead Forecaster help the flow of air traffic and promote air Terminal Aviation Weather Center safety. One of those modernization com- Weather System The National Airspace System ponents is the Automated Surface (NAS) is a complex integration of many Observing System (ASOS). technologies. Besides the aircraft that fly There are two direct uses for ASOS, you and your family to vacation resorts, and the FAA’s Automated Weather or business meetings, many other tech- Observing System (AWOS). They are: nologies are at work - unseen, but critical Integrated Terminal Weather System MIAWS - Medium to aviation safety. The Federal Aviation (ITWS), and the Medium Intensity Intensity Airport Administration (FAA) is undertaking a Airport Weather System (MIAWS). The Weather System modernization of the NAS. One of the technologies that make up ITWS, shown modernization efforts is seeking to blend in Figure 1, expand the reach of the many weather and aircraft sensors, sur- observing site from the terminal to the en veillance radar, and computer model route environment. Their primary focus weather output into presentations that will is to reduce delays caused by weather, Gust fronts - Evolution and Detection Weather radar displays NWS - Doppler FAA - ITWS ASOS - It’s not just for airport observations anymore Mission Statement To enhance aviation safety by Source: MIT Lincoln Labs increasing the pilots’ knowledge of weather systems and processes Figure 1. -
Manual for Real-Time Quality Control of Wind Data
Direction Manual for Real-Time Quality Control of Wind Data A Guide to Quality Control and Quality Assurance for Coastal and Oceanic Wind Observations Version 1.0 October 2014 Document Validation U.S. IOOS Program Office Validation 10/17/2014 Zdenka S. Willis, Director, U.S. IOOS Program Office Date QARTOD Project Manager Validation 10/17/2014 Joseph Swaykos, NOAA National Data Buoy Center Date QARTOD Board of Advisors Validation 10/17/2014 Julianna O. Thomas, Southern California Coastal Ocean Observing System Date ii Table of Contents Document Validation ...................................................................................... ii Table of Contents ........................................................................................... iii List of Figures ................................................................................................. iv List of Tables ................................................................................................... iv Revision History ............................................................................................... v Endorsement Disclaimer ................................................................................ vi Acknowledgements ....................................................................................... vii Acronyms and Abbreviations ....................................................................... viii Definitions of Selected Terms ........................................................................ ix 1.0 Background and