Observing Weather and Climate from the Ground Up: a Nationwide Network of Networks
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Variable Renewable Energy Forecasting System Design and Implementation Plan
VARIABLE RENEWABLE ENERGY FORECASTING SYSTEM DESIGN AND IMPLEMENTATION PLAN USAID ENERGY PROGRAM 4 February 2019 This publication was produced for review by the United States Agency for International Development. It was prepared by Deloitte Consulting LLP. The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. VARIABLE RENEWABLE ENERGY FORECASTING SYSTEM DESIGN AND IMPLEMENTATION PLAN USAID ENERGY PROGRAM CONTRACT NUMBER: AID-OAA-I-13-00018 DELOITTE CONSULTING LLP USAID | GEORGIA USAID CONTRACTING OFFICER’S REPRESENTATIVE: NICHOLAS OKRESHIDZE AUTHOR(S): DAVIT MUJIRISHVILI LANGUAGE: ENGLISH 4 FEBRUARY 2019 DISCLAIMER: This publication was produced for review by the United States Agency for International Development. It was prepared by Deloitte Consulting LLP. The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. USAID ENERGY PROGRAM VARIABLE RENEWABLE ENERGY FORECASTING SYSTEM DESIGN AND IMPLEMENTATION PLAN i DATA Reviewed by: Valeriy Vlatchkov, Daniel Potash, Ivane Pirveli, Eka Nadareishvili Practice Area: Variable Renewable Energy Forecasting Key Words: Variable Renewable Energy; Forecasting, Procurement of Forecasting Services, Forecasting System Conceptual Design, Implementation Plan USAID ENERGY PROGRAM VARIABLE RENEWABLE ENERGY FORECASTING SYSTEM DESIGN AND IMPLEMENTATION PLAN ii ACRONYMS -
The Global Atmosphere Watch Programme 25 Years of Global Coordinated Atmospheric Composition Observations and Analyses
THE GLOBAL ATMOSPHERE WATCH PROGRAMME 25 YEARS OF GLOBAL COORDINATED ATMOSPHERIC COMPOSITION OBSERVATIONS AND ANALYSES WMO-No. 1143 WMO-No. 1143 © World Meteorological Organization, 2014 The right of publication in print, electronic and any other form and in any language is reserved by WMO. Short extracts from WMO publications may be reproduced without authorization, provided that the complete source is clearly indicated. Editorial correspondence and requests to publish, reproduce or translate this publication in part or in whole should be addressed to: Chairperson, Publications Board World Meteorological Organization (WMO) 7 bis, avenue de la Paix Tel.: +41 (0) 22 730 84 03 P.O. Box 2300 Fax: +41 (0) 22 730 80 40 CH-1211 Geneva 2, Switzerland E-mail: [email protected] ISBN 978-92-63-11143-2 Cover illustrations: The two photos show the changes in ozone observations from 1957 (International Geophysical Year) until now. On the left, Dobson instruments are being calibrated at the Tateno station in Japan before they are deployed to their individual stations. On the right, Dobson instruments have been set up for a modern intercomparison study. The spectrophotometers are the same, but the measurement and calibration process are now monitored by computers. NOTE The designations employed in WMO publications and the presentation of material in this publication do not imply the expression of any opinion what- soever on the part of WMO concerning the legal status of any country, territory, city or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. The mention of specific companies or products does not imply that they are endorsed or recommended by WMO in preference to others of a similar nature which are not mentioned or advertised. -
Chatham Upper Air Site (CHH) Being Decommissioned Effective April 1, 2021 Updated: March 15, 2021
Chatham Upper Air Site (CHH) Being Decommissioned Effective April 1, 2021 Updated: March 15, 2021 The National Weather Service Upper Air Station providing upper air observations from Chatham, Massachusetts - site identifier KCHH, WMO identifier 74494 - will not gather or transmit data after 8 a.m. on March 31. The site will permanently close. Recent significant erosion of the coastal bluff where the upper air station is located is a safety concern for the personnel who launch weather balloons at the facility and threatens to take the upper air launch building into the sea. As a result of these extenuating circumstances, the site will be decommissioned at the end of the month, with demolition of the buildings scheduled for April. The National Weather Service is actively seeking a new site for upper air observations in southeastern New England and will provide the community with updates as we learn more. Nearby upper air sites in Brookhaven, NY (OKX) (latest sounding), Albany, NY (ALY) (latest sounding) and Gray, ME (GYX) (latest sounding) will continue to provide observations for our weather forecast models and help our forecasters deliver accurate and timely watches and warnings. Users of our upper air data can rely on these upper air sites when the Chatham site is decommissioned. Supplemental weather balloon launches at these sites are conducted when weather conditions warrant. These two AWIPS products will cease effective April 1, 2021. They are for the RAOB Mandatory (MAN) and Significant (SGL) levels observations. AWIPS PIL WMO Header MANCHH USUS41 KBOX SGLCHH UMUS41 KBOX National Weather Service upper air stations gather observations using radiosondes. -
Homeowners Handbook to Prepare for Natural Disasters
HOMEOWNERS HANDBOOK HANDBOOK HOMEOWNERS DELAWARE HOMEOWNERS TO PREPARE FOR FOR TO PREPARE HANDBOOK TO PREPARE FOR NATURAL HAZARDSNATURAL NATURAL HAZARDS TORNADOES COASTAL STORMS SECOND EDITION SECOND Delaware Sea Grant Delaware FLOODS 50% FPO 15-0319-579-5k ACKNOWLEDGMENTS This handbook was developed as a cooperative project among the Delaware Emergency Management Agency (DEMA), the Delaware Department of Natural Resources and Environmental Control (DNREC) and the Delaware Sea Grant College Program (DESG). A key priority of this project partnership is to increase the resiliency of coastal communities to natural hazards. One major component of strong communities is enhancing individual resilience and recognizing that adjustments to day-to- day living are necessary. This book is designed to promote individual resilience, thereby creating a fortified community. The second edition of the handbook would not have been possible without the support of the following individuals who lent their valuable input and review: Mike Powell, Jennifer Pongratz, Ashley Norton, David Warga, Jesse Hayden (DNREC); Damaris Slawik (DEMA); Darrin Gordon, Austin Calaman (Lewes Board of Public Works); John Apple (Town of Bethany Beach Code Enforcement); Henry Baynum, Robin Davis (City of Lewes Building Department); John Callahan, Tina Callahan, Kevin Brinson (University of Delaware); David Christopher (Delaware Sea Grant); Kevin McLaughlin (KMD Design Inc.); Mark Jolly-Van Bodegraven, Pam Donnelly and Tammy Beeson (DESG Environmental Public Education Office). Original content from the first edition of the handbook was drafted with assistance from: Mike Powell, Greg Williams, Kim McKenna, Jennifer Wheatley, Tony Pratt, Jennifer de Mooy and Morgan Ellis (DNREC); Ed Strouse, Dave Carlson, and Don Knox (DEMA); Joe Thomas (Sussex County Emergency Operations Center); Colin Faulkner (Kent County Department of Public Safety); Dave Carpenter, Jr. -
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. -
Global Atmosphere Watch GAW
AREP GAW Global Atmosphere Watch GAW Liisa Jalkanen Atmospheric Environment Research (AER) Division WMO Secretariat AREP GAW World Meteorological Organization Independent technical UN agency 189 Members manage through WMO Congress and Executive Council Secretariat in Geneva (staff 280) Technical Departments Observing and Information Systems (OBS) Climate and Water (CLW) Weather and Disaster Risk Reduction Services (WDS) Research (RES) Atmospheric Research and Environment Branch (ARE) Atmospheric Environment Research Division (AER) Global Atmosphere Watch (GAW) AREP GAW THE GAW MISSION • Systematic long-term monitoring of atmospheric chemical and physical parameters globally • Analysis and assessment • Development of predictive capability (GURME and Sand and Dust Storm Warning System) AREP GAW Components of the GAW Programme OPAG EPAC Scientifc Advisory Groups Expert Groups Ozone | UV | GHG | RG | PC ET-WDC Chapter 2.3 JSSC Aerosols | GURME Administration WMO/GAW IGACO Offices Management Ozone/UV | GHG | Air Quality | Aerosols Chapter 2.5 Secretariat NMHSs Central QA/SACs WDCs & GAWSIS CCLs WOUDC | WDCGG | WDCA Facilities WCCs | RCCs Chapter 2.4 WRDC | WDCPC | WDC-RSAT Observing Contributing GAW Stations Satellites Systems Networks Global | Regional Aircraft Chapter 3 Contributing Parties to the Systems Programs Operational Research Users & Conventions GEOSS | GCOS IGAC | SOLAS Centers Projects Applications UNFCCC | Vienna C. GMES | … iLEAPS | … AREP GAW Observations • Weather related observations (OBS) • Climate observations (GCOS) • Atmospheric -
An Evaluation of Snow Initializations in NCEP Global and Regional Forecasting Models
JUNE 2016 D A W S O N E T A L . 1885 An Evaluation of Snow Initializations in NCEP Global and Regional Forecasting Models NICHOLAS DAWSON,PATRICK BROXTON,XUBIN ZENG, AND MICHAEL LEUTHOLD Department of Atmospheric Sciences, The University of Arizona, Tucson, Arizona MICHAEL BARLAGE Research Applications Laboratory, Boulder, Colorado PAT HOLBROOK Idaho Power Company, Boise, Idaho (Manuscript received 13 November 2015, in final form 10 April 2016) ABSTRACT Snow plays a major role in land–atmosphere interactions, but strong spatial heterogeneity in snow depth (SD) and snow water equivalent (SWE) makes it challenging to evaluate gridded snow quantities using in situ measurements. First, a new method is developed to upscale point measurements into gridded datasets that is superior to other tested methods. It is then utilized to generate daily SD and SWE datasets for water years 2012–14 using measurements from two networks (COOP and SNOTEL) in the United States. These datasets are used to evaluate daily SD and SWE initializations in NCEP global forecasting models (GFS and CFSv2, both on 0.5830.58 grids) and regional models (NAM on 12 km 3 12 km grids and RAP on 13 km 3 13 km grids) across eight 28328 boxes. Initialized SD from three models (GFS, CFSv2, and NAM) that utilize Air Force Weather Agency (AFWA) SD data for initialization is 77% below the area-averaged values, on av- erage. RAP initializations, which cycle snow instead of using the AFWA SD, underestimate SD to a lesser degree. Compared with SD errors, SWE errors from GFS, CFSv2, and NAM are larger because of the ap- plication of unrealistically low and globally constant snow densities. -
Historic Greensburg Supercell of 4 May 2007 Anatomy of a Severe Local ‘Superstorm’
Historic Greensburg Supercell of 4 May 2007 Anatomy of a Severe Local ‘Superstorm’ Mike Umscheid National Weather Service Forecast Office – Dodge City, KS In collaboration with Leslie R. Lemon University of Oklahoma/CIMMS, NOAA/NWS Warning Decision Training Branch, Norman, OK DuPage County, IL Advanced Severe Weather Seminar March 5-6, 2010 1 © Martin Kucera A Thunderstorm Spectrum Single Cell Multi-cell Multi-cell Supercell (cluster) (line) Short-lived, Longer-lived (2-4hrs), non-tornadic supercells one or two tornadic cycles Courtesy NWS Norman Severe Local “Superstorm” 6+ hrs, 2-3 significant tornadoes (or one ultra long-lived sig tor), Many other smaller ones. Widespread destruction. 9 April 1947 Woodward, OK 2 Woodward – Udall – Greensburg Udall Woodward 10:35 pm 8:42 pm ~ ¾ to 1 mile wide 82 fatalities 1.8 miles wide 107 fatalities Photos courtesy NWS ICT, NW OK Genealogical Society, Mike Theiss Times CST 11 fatalities 1.7 miles wide 8:50 pm Greensburg 3 Integrated Warning System 4 A little preview… EF5 EF3 (+) 0237 0331 EF3 (+) EF3 0347 0437 1 supercell thunderstorm – 20 tornadoes, 4 massive tornadoes spanning 5 3 hours w/ no break, farm community obliterated, very well-documented by chasers “The Big 4” Rating: EF3 (strong) Duration: 65 min. Length: 23.5 mi Mean Width: 1.5 mi St. John Max Width: 2.2 mi Macksville Damage Area: 35.4 mi2 (A5) Rating: EF3 Damage $$: 1.5 M Duration: 24 min. Length: 17.4 mi Mean Width: 0.6 mi Max Width: 0.9 mi Trousdale Damage Area: 9.7 mi2 (A4) Hopewell Fatalities: 1 Rating: EF5 Duration: 65 min. -
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. -
Global Monitoring Division Collaborations/Stakeholders
Global Monitoring Division Collaborations/Stakeholders Contents: page • Joint Institutes...................................................................2 • NOAA Laboratories and Divisions…………………………………….2 • NOAA Programs…………………………………………………………………4 • Other Federal Agencies……………………………………………………..4 • State and Municipal Agencies……………………………………………9 • National and International Networks……………………………….10 • Observatory Partnerships…………………………………………………11 • International Partnerships………………………………………………..15 • Other Research Collaborations……………………………………….18 2 GLOBAL MONITORING DIVISION COLLABORATIONS 2013- Present JOINT INSTITUTES: • Cooperative Institute for Research in Environmental Sciences (CIRES): NOAA Cooperative Institute at the University of Colorado. Extensive joint research and atmospheric monitoring projects are conducted at the Boulder facilities. • Cooperative Institute for Arctic Research (CIFAR): NOAA Cooperative Institute at the University of Alaska. Cooperative research in Arctic atmospheric science at the Barrow and Boulder facilities. • Cooperative Institute for Mesoscale Meteorological Studies (CIMMS): NOAA Cooperative Institute at the University of Oklahoma. GMD provides large amounts of high quality data for modelers. • Cooperative Institute for Research in the Atmosphere (CIRA): NOAA Cooperative Institute at the Colorado State University. Joint research projects are conducted at the Boulder facility. • Joint Institute for Marine and Atmospheric Research (JIMAR): NOAA Cooperative Institute at the University of Hawaii. Studies of -
Snow Modeling and Observations at NOAA's National Operational
Snow Modeling and Observations at NOAA’S National Operational Hydrologic Remote Sensing Center Thomas R. Carroll National Operational Hydrologic Remote Sensing Center, National Weather Service, National Oceanic and Atmospheric Administration Chanhassen, Minnesota, USA Abstract The National Oceanic and Atmospheric Administration’s (NOAA) National Operational Hydrologic Remote Sensing Center (NOHRSC) routinely ingests all of the electronically available, real-time, ground-based, snow data; airborne snow water equivalent data; satellite areal extent of snow cover information; and numerical weather prediction (NWP) model forcings for the coterminous United States. The NWP model forcings are physically downscaled from their native 13 kilometer2 (km) spatial resolution to a 1 km2 resolution for the coterminous United States. The downscaled NWP forcings drive the NOHRSC Snow Model (NSM) that includes an energy-and-mass-balance snow accumulation and ablation model run at a 1 km2 spatial resolution and at a 1 hour temporal resolution for the country. The ground-based, airborne, and satellite snow observations are assimilated into the model state variables simulated by the NSM using a Newtonian nudging technique. The principle advantages of the assimilation technique are: (1) approximate balance is maintained in the NSM, (2) physical processes are easily accommodated in the model, and (3) asynoptic data are incorporated at the appropriate times. The NSM is reinitialized with the assimilated snow observations to generate a variety of snow products that combine to form NOAA’s NOHRSC National Snow Analyses (NSA). The NOHRSC NSA incorporate all of the information necessary and available to produce a “best estimate” of real-time snow cover conditions at 1 km2 spatial resolution and 1 hour temporal resolution for the country. -
Optimization Requirements Document for the Meteorological Data Collection and Reporting System/ Aircraft Meteorological Data Relay System
Optimization Requirements Document for the Meteorological Data Collection and Reporting System/ Aircraft Meteorological Data Relay System Submitted to: National Oceanic and Atmospheric Administration (NOAA) Order Number DG133W05SE5678 Submitted by: A 2551 Riva Road Annapolis, MD 21401-7465 U.S.A. March 2006 Optimization Requirements Document 1.0 Summary This document presents the requirements and justification for an Optimization System for the Meteorological Data Collection and Reporting System (MDCRS) that will enable selection of specific aircraft to provide essential weather observations to meet the government’s needs while reducing redundant and unnecessary data. MDCRS is a private/public partnership within the U.S. that facilitates the collection of atmospheric measurements from commercial aircraft to improve aviation safety. (MDCRS is similar to the Aircraft Meteorological Data Relay (AMDAR) system that has been implemented in other parts of the world; therefore, the term MDCRS/AMDAR is used in this document to refer to the general program within the U.S. for collecting weather observations from aircraft.) The MDCRS/AMDAR system receives Aircraft Communications Addressing and Reporting System (ACARS) messages containing meteorological data from participating aircraft, processes the messages and forwards the encoded data to NOAA’s National Centers for Environmental Prediction (NCEP), where they are used in weather forecasting models. The system has been in place since 1995 and can arguably be said to provide better and more timely information to weather forecasters than is possible by any other means. High quality meteorological data enable more accurate forecasting of hazardous weather, which directly contributes to the FAA’s goals to increase safety and capacity in the NAS and benefits the airlines directly.