Mobile Soundings for the Verification of the Origins of Rotation in Tornadoes Experiment 2 (VORTEX2)

Total Page:16

File Type:pdf, Size:1020Kb

Mobile Soundings for the Verification of the Origins of Rotation in Tornadoes Experiment 2 (VORTEX2) Mobile Soundings for the Verification of the Origins of Rotation in Tornadoes Experiment 2 (VORTEX2) Morris Weisman, George Bryan (Co-Dropsonde PIs) National Center for Atmospheric Research Matt Parker (MGAUS PI) Dept. of Marine, Earth, and Atmospheric Sciences, North Carolina State University Chris Davis, David Dowell, Chris Snyder, Jenny Sun National Center for Atmospheric Research Jeff Trapp Dept. of Earth and Atmospheric Sciences, Purdue University Lance Bosart Dept. of Earth and Atmospheric Sciences, The University at Albany/SUNY David Stensrud NOAA National Severe Storms Laboratory 14 September 2007 1 1. Summary The Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2) is a multi-agency field program to investigate tornadic storms and their environments, and is proposed to take place in the United States Great Plains during the months of April-June, 2009-2010. The present proposal addresses the needs for mobile soundings to enhance the observational capabilities for VORTEX2, especially regarding the scientific foci addressing the relationships between supercell storms and their environments and numerical weather prediction. Mobile soundings, specifically the Mobile GPS Advanced Upper Air System (MGAUS) and the GPS Dropsonde system, will be used to enhance the observations of the pre- and during-storm mesoscale environments of tornadic storms, with emphasis on documenting both the larger scale forcing features that may be critical to storm initiation and the smaller scale environmental heterogeneities (e.g., pre- existing boundaries) that may be important for tornadogenesis. Dropsondes represent the best technology available for targeting different geographical regions from day-to day, and obtaining the required horizontal and vertical resolution of observations throughout the troposphere to meet the VORTEX2 scientific objectives. The MGAUS can provide observations in specific storm-relative locations that are required to document features such as pre-existing boundaries in the near-environment of storm updrafts, and can provide coverage where a dropsonde aircraft would be prohibited due to ongoing weather hazards. Mobile sounding information will be used along with other field observations (from mobile, ground-based, C- and X-band Doppler radars; mobile and deployable surface sensors; unmanned aircraft systems; etc.) and standard operational observations to initialize cloud and mesoscale models using a variety of assimilation techniques, to enhance analyses and diagnostic studies of mesoscale processes, and to better establish the predictability of tornadic and other severe convective events up to 18 h in advance. Post-storm dropsondes will also be used to document the feedbacks of such storms on the larger-scale environment. Although VORTEX2 is being proposed for both the 2009 and 2010 seasons, dropsondes are being requested to support only the 2009 field campaign, in order to limit total experiment costs. Two MGAUS units are being requested for both 2009 and 2010. 2. Background VORTEX2 is a multi-agency field program to investigate tornadic storms and their environments, to take place in the United States Great Plains during the months of April-June, 2009-2010. It will be conducted as a two-phase experiment. A “tethered” phase (“phase A”), utilizing an adaptable observing network tethered to fixed observing facilities in Oklahoma (Fig. 2.1.a), will occur 1 April – 10 May each year, focusing on storm-environment interactions, storm-storm interactions. A “fully mobile” phase (“phase B”) will take place 11 May – 25 June each year over a broad region of the central United States (Fig. 2.1.b), focusing on tornadogenesis and tornado wind fields. Briefly, the four foci of VORTEX2 are: Relationships between supercell storms and their environments. Interactions among storms that are/are not favorable for tornadogenesis; effects of environmental heterogeneity on supercells and tornadogenesis; feedbacks of supercells upon their environments. Storm-scale and regional-scale numerical weather prediction (NWP). Analysis and prediction of supercells, mesocyclones, and tornadoes; assessment of parameterization errors for storm-scale models and data assimilation methods for the storm scale; optimal use of observations; analysis and prediction of the pre- storm mesoscale environment. Tornadogenesis. Role of downdrafts in tornadogenesis; sensitivity of tornadogenesis to microphysical and thermodynamic characteristics; role of vorticity maxima along gust fronts in tornadogenesis and/or maintenance; modes for the development of significant tornadoes in supercells. 2 Near-ground wind field in tornadoes. Range of observed tornado characteristics, such as vertical, radial, and swirling velocity profiles, asymmetries, multiple vortices, and angular momentum budgets; relationships between damage and wind speed, acceleration, and duration. These scientific foci address national research priorities in multiple ways. First, VORTEX2 research will contribute to basic understanding of convective storms, particularly interactions between cloud dynamical and microphysical processes. Second, VORTEX2 datasets will become a research testbed for regional-scale and storm-scale prediction experiments. It is generally believed that numerical weather prediction must play a prominent role in the National Weather Service (NWS) initiative to increase severe weather and tornado warning lead time. Unprecedented multi-sensor and multi-scale observations will be available for model initialization and forecast verification, enabling one to determine the optimal mix of observations, adaptive observing strategies, data-assimilation methods, and forecast models needed for successful storm-scale numerical weather prediction in future operational systems. In order to support VORTEX2 objectives, a host of mobile observing systems are being proposed (Table 2.1), including seven mobile, ground-based Doppler radars (C-band, X-band, and W-band radars, some of which will have dual-polarization and “rapid scan” capabilities); mobile soundings; a mobile mesonet; unmanned aircraft systems (UAS); and stick net (an array of surface sensors on tripods). The operational observing network, which includes WSR-88Ds (one or more of which could have polarimetric upgrades by the start of VORTEX2), rawinsondes, profilers, and surface sensors, will provide supporting environmental and storm-scale data. In addition, the tethered phase of VORTEX2 will utilize an extensive fixed observing network in Oklahoma: the National Weather Radar Testbed Phased Array Radar (NWRT-PAR), a prototype dual-polarization WSR-88D (KOUN), the Center for Collaborative Adaptive Sensing of the Atmosphere (CASA) radar network, the Kessler Farm Field Laboratory, the Oklahoma Mesonet, and ARS Micronets. Mobile soundings are essential to the success of VORTEX2, particularly for the foci on mesoscale environmental variability, regional- and storm-scale data assimilation and numerical weather prediction, storm-environment feedbacks, and tornadogenesis. The motivation for mobile soundings is provided in more detail in the following subsections. Science focus Required observing systems Phase Relationships Fixed observing systems (including NWRT-PAR and S-band A (tethered) between supercells radars), C-band and X-band mobile radars (at least two of which and their have dual polarization and one of which has “rapid scan” environments capability), mobile soundings, mobile mesonet, stick net, UAS Storm-scale NWP Fixed observing systems (including NWRT-PAR and S-band A (tethered) radars), C-band and X-band mobile radars (at least two of which have dual polarization and one of which has “rapid scan” capability), mobile soundings, mobile mesonet, stick net, UAS Tornadogenesis C-band and X-band mobile radars, mobile mesonet, stick net, B (fully mobile) mobile soundings, UAS, photogrammetry Near-ground wind X-band and W-band mobile radars, tornado in situ sensors, B (fully mobile) field in tornadoes photogrammetry, damage surveys Table 2.1. Core instruments proposed for VORTEX2. Other instruments, not included in this table, could be available, depending on the success of individual proposals. 3 Figure 2.1. Proposed domains for the (a) tethered (1 April – 10 May, 2009 and 2010) and (b) fully mobile (11 May – 25 June, 2009 and 2010) phases of VORTEX2. A. Mesoscale environmental variability Previous studies have identified significant environmental variability on multiple scales in the environments of convective storms (Maddox et al. 1980; Marwitz and Burgess 1994; Brooks et al. 1994, 1996; Weckwerth et al. 1996; Markowski et al. 1998a; Rasmussen et al. 2000; Markowski and Richardson 2004). These studies make it clear that the environment of a convective storm cannot be represented by a single sounding and highlight difficulties in relating observed storm behavior to predictions based on numerical parameter- space studies, which typically employ idealized, homogeneous environments (Brooks et al. 1994; Weisman et al. 1998; Richardson 1999; Richardson et al. 2007). The 2 June 1995 case during VORTEX1 (Fig. 2.2; Rasmussen et al. 1994, 2000; Gilmore and Wicker 2002) demonstrates clearly the potential impact of such mesoscale variability on supercell formation and subsequent tornadogenesis. This case featured numerous convective storms on both sides of a remnant outflow boundary that had been produced by convection many hours earlier. Among approximately 20 long- lived storms, the only storms that produced tornadoes
Recommended publications
  • University of Oklahoma
    UNIVERSITY OF OKLAHOMA GRADUATE COLLEGE INVESTIGATION OF POLARIMETRIC MEASUREMENTS OF RAINFALL AT CLOSE AND DISTANT RANGES A DISSERTATION SUBMITTED TO THE GRADUATE FACULTY in partial fulfillment of the requirements for the degree of Doctor of Philosophy By SCOTT EDWARD GIANGRANDE Norman, Oklahoma 2007 UMI Number: 3291249 UMI Microform 3291249 Copyright 2008 by ProQuest Information and Learning Company. All rights reserved. This microform edition is protected against unauthorized copying under Title 17, United States Code. ProQuest Information and Learning Company 300 North Zeeb Road P.O. Box 1346 Ann Arbor, MI 48106-1346 INVESTIGATION OF POLARIMETRIC MEASUREMENTS OF RAINFALL AT CLOSE AND DISTANT RANGES A DISSERTATION APPROVED FOR THE SCHOOL OF METEOROLOGY BY ____________________________________ Dr. Michael Biggerstaff ____________________________________ Dr. Alexander Ryzhkov ____________________________________ Dr. Jerry Straka ____________________________________ Dr. Guifu Zhang ____________________________________ Dr. Mark Yeary © Copyright by SCOTT EDWARD GIANGRANDE 2007 All Rights Reserved. ACKNOWLEDGEMENTS I would like to extend my sincerest thanks to the numerous individuals who have helped me complete this work. To begin, this work would not have been possible without the guidance of my primary research advisor, Dr. Alexander Ryzhkov. His leadership and patience were instrumental throughout this process. I would also like to extend my gratitude to the other members of my committee: Drs. Michael Biggerstaff (Co-Chair and primary OU School of Meteorology advisor), Guifu Zhang, Jerry Straka, and Mark Yeary. The reviews performed by these individuals strengthened this work. I also thank the members of the Radar Research and Development Division (RRDD) at the National Severe Storms Laboratory (NSSL), which includes Drs. Douglas Forsyth, Dusan Zrnic, Dick Doviak, Allen Zahrai, Terry Schuur, Pam Heinselman, Valery Melnikov, Sebastian Torres, Pengfei Zhang and Svetlana Bachmann.
    [Show full text]
  • Weatherscope Weatherscope Application Information: Weatherscope Is a Stand-Alone Application That Makes Viewing Weather Data Easier
    User Guide - Macintosh http://earthstorm.ocs.ou.edu WeatherScope WeatherScope Application Information: WeatherScope is a stand-alone application that makes viewing weather data easier. To run WeatherScope, Mac OS X version 10.3.7, a minimum of 512MB of RAM, and an accelerated graphics card with 32MB of VRAM are required. WeatherScope is distributed freely for noncommercial and educational use and can be used on both Apple Macintosh and Windows operating systems. How do I Download WeatherScope? To download the application, go to http://earthstorm.ocs.ou.edu, select Data, Software, Download, or go to http://www. ocs.ou.edu/software. There will be three options: WeatherBuddy, WeatherScope, and WxScope Plugin. You will want to choose WeatherScope. There are two options under the application: Macintosh or Windows. Choose Macintosh to download the application. The installation wizard will automatically save to your desktop. Go to your desktop and double click on the icon that says WeatherScope- x.x.x.pkg. Several dialog messages will appear. The fi rst message will inform you that you are about to install the application. The next message tells you about computer system requirements in order to download the application. The following message is the Software License Agreement. It is strongly suggested that you read this agreement. If you agree, click Agree. If you do not agree, click Disagree and the software will not be installed onto your computer. The next message asks you to select a destination drive (usually your hard drive). The setup will run and install the software on your computer. You may then press Close.
    [Show full text]
  • Storm Preparedness Kits –By Sparky Smith HELLO
    www.mesonet.org Volume 5 — Issue 7 — July 2014 connection Storm Preparedness Kits –by Sparky Smith HELLO. MY NAME IS SPARKY SMITH, and I am an pieces everywhere, but never the complete thing. I compiled Eagle Scout. First I will talk a little bit about myself. Then I all the lists and added a few things I thought were needed will tell you about how I came up with the idea for my project, in every emergency. The best way to get your project and actually show you how to build your own. I will also talk approved is to make it relatively inexpensive with easy to about the constraints and guidelines that I had to deal with obtain materials, and a personal aspect to show that you while doing the project. actually put thought into it. I have always been interested in weather. I went to the very One of the first things I did was go to a graphics design store first Mesonet Weather Camp, where I learned more about and had a nice looking label made to put on the storm kits, what kind of disasters occur and what other dangers they so people would know it was more than a five gallon bucket. bring. A storm kit has to last at least 1 day because many Thankfully, most of the products were donated, including the other dangers can arise after storms. For instance, you label. I made 20 storm kits, which would have cost about could be trapped in your shelter by debris or even have $3000, but it ended up costing about $1000-$1200.
    [Show full text]
  • The Effect of Climatological Variables on Future UAS-Based Atmospheric Profiling in the Lower Atmosphere
    remote sensing Article The Effect of Climatological Variables on Future UAS-Based Atmospheric Profiling in the Lower Atmosphere Ariel M. Jacobs 1,2 , Tyler M. Bell 1,2,3,4 , Brian R. Greene 1,2,5 and Phillip B. Chilson 1,2,5,* 1 School of Meteorology, University of Oklahoma, 120 David L. Boren Blvd, Ste 5900, Norman, OK 73072, USA; [email protected] (A.M.J.); [email protected] (T.M.B.); [email protected] (B.R.G.) 2 Center for Autonomous Sensing and Sampling, University of Oklahoma, 120 David L. Boren Blvd., Ste 4600, Norman, OK 73072, USA 3 Cooperative Institute for Mesoscale Meteorological Studies, 120 David L. Boren Blvd., Ste 2100, Norman, OK 73072, USA 4 NOAA/OAR National Severe Storms Laboratory, 120 David L. Boren Blvd., Norman, OK 73072, USA 5 Advanced Radar Research Center, University of Oklahoma, 3190 Monitor Ave., Norman, OK 73019, USA * Correspondence: [email protected] Received: 7 August 2020; Accepted: 9 September 2020; Published: 11 September 2020 Abstract: Vertical profiles of wind, temperature, and moisture are essential to capture the kinematic and thermodynamic structure of the atmospheric boundary layer (ABL). Our goal is to use weather observing unmanned aircraft systems (WxUAS) to perform the vertical profiles by taking measurements while ascending through the ABL and subsequently descending to the Earth’s surface. Before establishing routine profiles using a network of WxUAS stations, the climatologies of the flight locations must be studied. This was done using data from the North American Regional Reanalysis (NARR) model. To begin, NARR data accuracy was verified against radiosondes.
    [Show full text]
  • The Center for Analysis and Prediction of Storms
    CAPS Mission Statement • The Center for Analysis and Prediction of Storms (CAPS) was established at the University of Oklahoma in 1989 as one of the first 11 National Science Foundation Science and Technology Center. Its mission was, and remains the development of techniques for the computer-based prediction of high-impact local weather, such as individual spring and winter storms, with the NEXRAD (WSR-88D) Doppler radar serving as a key data source. 1 Forecast Funnel • Large Scale - provide synoptic flow patterns and boundary conditions to the Large Scale regional scale flow. • Regional Forecast - provide improved resolution for predicting regional scale Regional Scale events (large thunderstorm complexes, squall lines, heavy precipitation events) • Storm Scale - predict individual thunderstorm and groups of Storm Scale thunderstorms as well as initiation of convection. 2 ARPS System Lateral boundary conditions from large-scale models ARPS Data Assimilation System (ARPSDAS) Gridded first guess Mobile Mesonet Data Acquisition Parameter Retrieval and 4DDA Rawinsondes & Analysis Single-Doppler Velocity • AddACARS adas slide here…... CLASS ARPS Data Analysis Retrieval (SDVR) System (ADAS) SAO 4-D Variational Vel- data Satellite – Ingest Profilers – Quality control Variational ocity Adjustment Incoming – Objective analysis ASOS/AWOS Data & Thermo- – Archival Oklahoma Mesonet Assimilation dynamic Retrieval WSR-88D Wideband Product Generation and DataData SupportSupport SystemSystem ForecastForecast GenerationGeneration ARPSPLT andARPSV IEW
    [Show full text]
  • Collaborative Research on Road Weather Observations and Predictions by Universities, State Departments of Transportation, and Na
    Collaborative Research on Road Weather Observations and Predictions by Universities, State Departments of Transportation, and National Weather Service Forecast Offices Publication No. FHWA-HRT-04-109 OCTOBER 2004 Research, Development, and Technology Turner-Fairbank Highway Research Center 6300 Georgetown Pike McLean, VA 22101-2296 FOREWORD This report documents the results of five research projects to improve the sensing, predictions and use of weather-related road conditions in road maintenance and operations. The primary purpose for these projects was to evaluate the use of weather observations and modeling systems to improve highway safety and to support effective decisions made by the various jurisdictions that manage the highway system. In particular, the research evaluated how environmental sensor station data, particularly Road Weather Information System (RWIS) data, could best be used for both road condition forecasting and weather forecasting. The collaborative efforts also included building better relations for training and sharing information between the meteorological and transportation agencies. These projects are unique because they each involved collaborated partnerships between National Weather Service (NWS) Weather Forecast Offices (WFOs), State departments of transportation (DOTs), and universities. Lessons learned from these projects can help all State DOTs improve how they manage RWIS networks and achieve maximum utility from RWIS investments. Sufficient copies are being distributed to provide one copy to each Federal Highway Administration (FHWA) Resource Center, two copies to each FHWA Division, and one copy to each State highway agency. Direct distribution is being made to the FHWA Divisions Offices. Additional copies may be purchased from the National Technical Information Service (NTIS), 5285 Port Royal Road, Springfield, VA 22161.
    [Show full text]
  • Mesorefmatl.PM6.5 For
    What is the Oklahoma Mesonet? Overview The Oklahoma Mesonet is a world-class network of environ- mental monitoring stations. The network was designed and implemented by scientists at the University of Oklahoma (OU) and at Oklahoma State University (OSU). The Oklahoma Mesonet consists of 114 automated stations covering Oklahoma. There is at least one Mesonet station in each of Oklahoma’s 77 counties. Definition of “Mesonet” “Mesonet” is a combination of the words “mesoscale” and “network.” • In meteorology, “mesoscale” refers to weather events that range in size from a few kilometers to a few hundred kilo- meters. Mesoscale events last from several minutes to several hours. Thunderstorms and squall lines are two examples of mesoscale events. • A “network” is an interconnected system. Thus, the Oklahoma Mesonet is a system designed to mea- sure the environment at the size and duration of mesoscale weather events. At each site, the environment is measured by a set of instru- ments located on or near a 10-meter-tall tower. The measure- ments are packaged into “observations” every 5 minutes, then the observations are transmitted to a central facility every 15 minutes – 24 hours per day year-round. The Oklahoma Climatological Survey (OCS) at OU receives the observations, verifies the quality of the data and provides the data to Mesonet customers. It only takes 10 to 20 minutes from the time the measurements are acquired until they be- come available to customers, including schools. OCS Weather Series Chapter 1.1, Page 1 Copyright 1997 Oklahoma Climatological Survey. All rights reserved. As of 1997, no other state or nation is known to have a net- Fun Fact work that boasts the capabilities of the Oklahoma Mesonet.
    [Show full text]
  • Delivering Weather Data to Texas Pilots and Other Users
    / Technical Reuort Documentation Pae:e 1. Report No. 2. Government Accession No. 3. Recipient's Catalog No. FHW AffX-99/1799-1 4. Title and Subtitle 5. Report Date DELNERING WEATHER DATA TO TEXAS PILOTS AND OTHER February 1999 USERS • 6. Performing Organization Code 7. Author(s) 8. Performing Organization Report No. James S. Noel, LuAnn Copeland, David Staas, and George B. Dresser Report 1799-1 9. Petforming Organization Name and Address 10. Work Unit No. (TRAIS) Texas Transportation Institute The Texas A&M University System 11. Contract or Grant No. College Station, Texas 77843-3135 Study No. 0-1799 12. Sponsoring Agency Name and Address 13. Type of Report and Period Covered Texas Department of Transportation Research: Office of Research and Technology Transfer September 1997 - August 1998 P. 0. Box 5080 14. Sponsoring Agency Code Austin, Texas 78763-5080 15. Supplementary Notes Research performed in cooperation with the Texas Department of Transportation and the U.S. Department of Transportation, Federal Highway Administration Research Study Title: Integration of Weather Data from All Available Sources to Enhance Aviation Weather Data Available in Texas 16. Abstract This project will ultimately serve to supplement the manner in which Texas pilots receive weather data. This will be accomplished first by inventorying the sources used by pilots to get weather data. The reliability, and convenience, of these sources will be evaluated and the unmet needs enumerated. The approach described above will be tailored to the needs of pilots with all levels of competency. This includes the weekend-only pilot interested in whether the local area will continue to have visual meteorological conditions (VMC) to those planning a cross-country routing in VMC, to the high time, instrument-rated pilot who will wonder about airframe icing on route or about low ceiling and visibility at the destination.
    [Show full text]
  • Jp2.5 Madis Support for Urbanet
    To be presented at the 14th Symposium on Meteorological Observations and Instrumentation January 14 - 18, 2007, San Antonio, Texas JP2.5 MADIS SUPPORT FOR URBANET Patricia A. Miller*, Michael F. Barth, and Leon A. Benjamin1 NOAA Research – Earth System Research Laboratory (ESRL) Boulder, Colorado Richard S. Artz and William R. Pendergrass NOAA Research – Air Resources Laboratory (ARL) Silver Spring, Maryland 1. INTRODUCTION (API) that provides users with easy access to the data and QC information. The API allows each user to specify NOAA’s Earth System Research Laboratory’s station and observation types, as well as QC choices, Global Systems Division (ESRL/GSD) has established and domain and time boundaries. Many of the the MADIS (Meteorological Assimilation Data Ingest implementation details that arise in data ingest programs System) project to make integrated, quality-controlled are automatically performed, greatly simplifying user datasets available to the greater meteorological access to the disparate datasets, and effectively community. The goals of MADIS are to promote integrating the database by allowing, for example, users comprehensive data collection and distribution of to access NOAA surface observations, and non-NOAA operational and experimental observation systems, to surface mesonets through a single interface. decrease the cost and time required to access new MADIS datasets were first made publicly available observing systems, to blend and coordinate other- in July 2001, and have proven to be popular within the agency observations with NOAA observations, and to meteorological community. GSD now supports hundreds make the integrated observations easily accessible and of MADIS users, including NWS forecast offices, the usable to the greater meteorological community.
    [Show full text]
  • Quality Assessment of Meteorological Data for the Beaufort and Chukchi Sea Coastal Region Using Automated Routines MARTHA D
    ARCTIC VOL. 67, NO. 1 (MARCH 2014) P. 104 – 112 Quality Assessment of Meteorological Data for the Beaufort and Chukchi Sea Coastal Region using Automated Routines MARTHA D. SHULSKI,1,2 JINSHENG YOU,1 JEREMY R. KRIEGER,3 WILLIAM BAULE,1 JING ZHANG,4 XIANGDONG ZHANG5 and WARREN HOROWITZ6 (Received 10 December 2012; accepted in revised form 9 August 2013) ABSTRACT. Meteorological observations from more than 250 stations in the Beaufort and Chukchi Sea coastal, interior, and offshore regions were gathered and quality-controlled for the period 1979 through 2009. These stations represent many different observing networks that operate in the region for the purposes of aviation, fire weather, coastal weather, climate, surface radiation, and hydrology and report data hourly or sub-hourly. A unified data quality control (QC) has been applied to these multi-resource data, incorporating three main QC procedures: the threshold test (identifying instances of an observation falling outside of a normal range); the step change test (identifying consecutive values that are excessively different); and the persistence test (flagging instances of excessively high or low variability in the observations). Methods previously developed for daily data QC do not work well for hourly data because they flag too many data entries. Improvements were developed to obtain the proper limits for hourly data QC. These QC procedures are able to identify the suspect data while producing far fewer Type I errors (the erroneous flagging of valid data). The fraction of flagged data for the entire database illustrates that the persistence test was failed the most often (1.34%), followed by the threshold (0.99%) and step change tests (0.02%).
    [Show full text]
  • Oklahoma Climate Wint#1675F.Ind
    OKLAHOMA CLIMATE WINTER 2003-04 OKLAHOMA CLIMATE WINTER 2003-04 SUMMARY © Copyright 2003 Board of Regents of the University of Oklahoma. All Rights Reserved. © Copyright 2003 Board of Regents the University Oklahoma. WINTER 2003-04 SUMMARY CLIMATE OKLAHOMA FROM THE EDITOR Table of Contents Welcome to the second edition of “Oklahoma Climate,” the Oklahoma Ice Storm!..........................................................3 Climatological Survey’s new seasonal climate series, I hope you enjoyed the inaugural edition published during fall of 2003. As always, launching a new Winter Soil Temperatures Across Oklahoma....6 publication can be trying process, but this effort is devoted to allowing you, the citizens and decision-makers of Oklahoma, to tap into the extraordinary Photos from the Field.........................................8 talent and expertise concentrated within OCS and the Oklahoma Weather Center. Fall 2003 Summary..........................................10 The theme of this edition of the Oklahoma seasonal climate summary is Summary Maps...............................................12 “Ice Storm!” We felt this theme to be appropriate due to the unusual number of destructive ice storms which have visited our state recently. While these Summary Tables..............................................14 frozen phenomena are not welcome visitors, they do allow us to brag to our northern friends that, although we may not be able to drive in the snow, they Agricultural Weather Watch............................15 would not fare any
    [Show full text]
  • Oklahoma Mesonet Honored –By Stephanie Bowen “THERE WAS the SHOPPING CART and the Parking Cattle Comfort Maps, Provided in the Mesonet Agriculture Meter, of Course
    www.mesonet.org Volume 4 — Issue 5 — May 2013 connection Oklahoma Mesonet Honored –by Stephanie Bowen “THERE WAS THE SHOPPING CART and the parking cattle comfort maps, provided in the Mesonet Agriculture meter, of course. But Oklahomans have demonstrated section, are designed to help producers identify current and a knack for innovation that has given us such diverse future periods of stress. The maps indicate two levels of heat products as the yield sign, the pressurized flight suit, the stress, two levels of cold stress and a range of no stress. compact trencher known as the Ditch Witch, and crystalline polypropylene.” “Knowing which weather variables have the most impact helps farmers and ranchers determine how new infrastructure The Journal Record’s Innovator of the Year program dollars should be spent to have the most impact on cattle introduction set the tone for an evening of celebration last health and gain,” said Al Sutherland, Oklahoma Mesonet’s month. They recognize Oklahomans each spring who Agricultural Coordinator. design innovative products and services. The Mesonet was recognized this year for their Cattle Comfort Advisor, The Cattle Comfort Advisor includes a variety of display designed by Mesonet staff along with OSU experts Chris products to provide information for ranchers and cattle Richards, David Lalman, Bob LeValley and Greg Highfill. industry professionals, including: current and yesterday maps, forecast high and low maps, 10-day and 3-day Oklahoma’s extreme weather can have a dramatic impact forecast graph and table, 45-day graph and table, and high on livestock. Extreme conditions can alter feed intake, and low current and last year graph.
    [Show full text]