Proposed Performance Metrics Block Time & Predictability

Size: px
Start display at page:

Download "Proposed Performance Metrics Block Time & Predictability"

Transcription

1 Proposed Performance Metrics Block Time & Predictability Marc Rose, MCR/SETA-II Gabriela Rohlck, MCR/SETA-II 15 March, 2006 Presented at NEXTOR - Asilomar F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 1

2 Objective An evaluation of two specific metrics: Scheduled Block Time and Predictability A general discussion of types of metrics This work has been sponsored by two ATO Planning offices: 1) The Office of Strategy 2) The Office of Performance Analysis F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 2

3 Three Primary Types of Metrics System Activity or Workload Number of flights per month, overall average block time Provides an estimate of workload, generally NOT performance Impacted by non-performance based changes Avg Flight length - more longer flights, not performance related Performance Generally a system activity metric in constrained times Normalized block time, arrival delay (sometimes) Diagnostic Needed to understand changes in performance F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 3

4 Three Primary Types of Metrics ALL metrics have flaws/limitations: Identification of these limitations is vital to understanding and proper usage F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 4

5 Data and Definition Data Sources Airline Service Quality Performance (ASQP) Data available from 1/1995 to 12/2005 Aviation System Performance Metrics (ASPM) Data available from 1/2000 to 12/2005 Official Airline Guide (OAG) Data available from 1/1982 to 9/2005 Definition: Block Time: Airborne+Taxi-Out+Taxi-In (Gate-Out to Gate-in) Total Flight Time: Block Time + Departure Delay Or: Actual arrival (in) - Scheduled Departure Scheduled: Airline published departure/arrival times Based on OAG or ASPM data (pre departure) Actual: departure/arrival times as flown (post departure) Based on ASQP or ASPM data F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 5

6 Scheduled Block Time A Performance Metric (a lagging indicator) Metric based on OEP to OEP flights A current FAA Executive Council decision Considered the NAS Level (All* flights) and the OEP-OEP level (only flights to/from an OEP 35 airport) Used ASPM data, limited to those flights that have OAG data OAG= Y flag Does not include cancelled flights Two metrics proposed 1) Normalized average block time Normalization consists of identical set of O-D pairs weighted using the average number of flights/month across all datasets 2) Delta metric - A relative change from the overall average *Not truly ALL flights as will be seen in the development F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 6

7 Normalization of Block Time Mathematical Details Two intermediate values are calculated 1) the mean time µ 2) the average number of flights xijkl µ nˆ µ ijk ij k = = N l k = = 1 i, j n n N µ i, j ijk ijk ijk nˆ nˆ ij ij Where x is the block time for flight l for O-D pair ij within month k and n is the number of flights for O-D pair Within all (majority*) of data sets Combining into a normalized NAS level Performance measure: nˆij Where N is the number of months of data Where ij is an O-D pair, and k is month/year F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 7

8 Normalized Scheduled Block Time (OEP to OEP) Moving average (ttm) Jan-00 Apr Jul-00 Oct-00 Jan-01 Apr-01 Jul-01 Oct-01 Jan-02 Apr-02 Jul-02 Oct-02 Jan-03 Apr-03 Jul-03 Oct-03 Jan-04 Apr-04 Jul-04 Oct-04 Jan-05 Apr-05 Jul-05 Oct-05 Source: ASPM F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 8

9 Normalized Scheduled Block Time (NAS Level) Moving average (ttm) Easy to see missing data 80 Jan-82 Jan-83 Jan-84 Jan-85 Jan-86 Jan-87 Jan-88 Jan-89 Jan-90 Jan-91 Jan-92 Jan-93 Jan-94 Jan-95 Jan-96 Jan-97 Jan-98 Jan-99 Jan-00 Jan-01 Jan-02 Jan-03 Jan-04 Jan-05 Normalized Average Block Time (min) Source: OAG F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 9

10 Scheduled Block Times A Lagging Metric Scheduled Actual Scheduled Block Time (ttm) Total Flight Time (ttm) Actual Block Time (ttm) 0.99 Relative Changing Blocktime Flight Times (min) Dec-95 Apr-96 Aug-96 Dec-96 Apr-97 Aug-97 Dec-97 Apr-98 Aug-98 Dec-98 Apr-99 Aug-99 Dec-99 Apr-00 Aug-00 Dec-00 Apr-01 Aug-01 Dec-01 Apr-02 Aug-02 Dec-02 Apr-03 Aug-03 Dec-03 Apr-04 Aug-04 Dec-04 Apr-05 Source: ASPM, OAG and ASQP F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 10

11 Delta Metric Another Approach µ ijk n ijk l= = 1 N n µ x ijk ijkl n Where x is the block time for flight l and O-D pair ij within month k and n is the number of flights ijk ijk k = 1 ˆ µ ij = A multi-month average block time nijk k δ k = ij ( µ ˆ µ )n ijk ij n ijk ij ijk Which is a relative performance metric for the block time that includes ALL flights F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 11

12 Scheduled Block Time Delta Metric (OEP-OEP) Minutes Jan-00 Jul-00 Jan-01 Jul-01 Jan-02 Jul-02 Jan-03 Jul-03 Jan-04 Jul-04 Jan-05 Jul-05 Data Source: ASPM F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 12

13 Scheduled Block Time Delta Metric (NAS Level) Minutes Jan-00 Apr-00 Jul-00 Oct-00 Jan-01 Apr-01 Jul-01 Oct-01 Jan-02 Apr-02 Jul-02 Oct-02 Jan-03 Apr-03 Jul-03 Oct-03 Jan-04 Apr-04 Jul-04 Oct-04 Jan-05 Apr-05 Jul-05 Oct-05 Data Source: ASPM F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 13

14 Historical Scheduled Block Time Delta Metric (NAS Level) Moving average (ttm) -6-8 Jan-82 Jan-83 Jan-84 Jan-85 Jan-86 Jan-87 Jan-88 Jan-89 Jan-90 Jan-91 Jan-92 Jan-93 Jan-94 Jan-95 Jan-96 Jan-97 Jan-98 Jan-99 Jan-00 Jan-01 Jan-02 Jan-03 Jan-04 Jan-05 Block Time Changes (min) Data Source: OAG F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 14

15 Scheduled Block Time Changes Accounting for Aircraft Type Jan-82 Jan-83 Jan-84 Jan-85 Jan-86 Jan-87 Jan-88 Jan-89 Jan-90 Jan-91 Jan-92 Jan-93 Jan-94 Jan-95 Jan-96 Jan-97 Jan-98 Jan-99 Jan-00 Jan-01 Jan-02 Jan-03 Jan-04 Jan-05 Data Source: OAG F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 15

16 Total Flight Time Variability a Predictability Metric? F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 16

17 Percentiles as a Predictability Metric Start at origin-destination level: How does measured block time of airport-pair (O- D) differ from average time where: M = µ k x ij ij x µ ij ij is measured time for O-D pair (i, j) is mean time for O-D pair (i, j) Flight-level M k is generated for all flights and the Selected percentiles are output as a NAS level metric F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 17

18 NAS Predictability Performance Metric (Total Flight Time includes gate delay) Predictability Metric (min) Source: ASQP F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 18

19 Predictability Metric OEP Arrival Airports Sep/ ATL BOS BWI CLE CLT CVG DCA DEN DFW DTW EWR FLL HNL IAD IAH JFK LAS LAX LGA MCO MDW MEM MIA MSP ORD PDX PHL PHX PIT SAN SEA SFO SLC STL TPA F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 19

20 Observations Using 10 th, 90 th percentiles Eliminate significant outliers Analysis shows distribution right-skewed. Average closer to lower bound than upper bound. Metric defined as difference between lower, upper percentiles. Can be calculated with one month of data. Seasonality Does not require historical data. This Metric partially accounts for known seasonality (e.g., winter headwinds) by using current months averages rather than historical F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 20

21 Backup F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 21

22 Metric with Normalized Average Flight Time Average Total Flight Time (min) Metric (min) 0 0 Jul-05 Jan-05 Jul-04 Jan-04 Jul-03 Jan-03 Jul-02 Jan-02 Jul-01 Jan-01 Jul-00 Jan-00 Jul-99 Jan-99 Jul-98 Jan-98 Jul-97 Jan-97 Jul-96 Jan-96 Jul-95 Jan-95 F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 22

23 Actual Block Time Variability: Percentiles and Weighted Average (10 th and 90 th percentiles) Block time (min) F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 23

24 Predictability Metric Calculation - Example Origin Destination Flight Time Avg Flt tm Delta Sorted Delta A B A B A B A B C D C D C D C D C D C D E F E F E F E F E F E F E F Metric = to F E D E R A L A V I A T I O N A D M I N I S T R A T I O N A I R T R A F F I C O R G A N I Z A T I O N 24

Frequency of Weather Delays An Analysis

Frequency of Weather Delays An Analysis Frequency of Weather Delays An Analysis Dr. John McCarthy Manager of Scientific and Technical Program Development Naval Research Laboratory Monterey, California 93943-5502 Phone 831-656-4753 Mccarthy@nrlmry.navy.mil

More information

BUDT 733 Data Analysis for Decision Makers

BUDT 733 Data Analysis for Decision Makers BUDT 733 Data Analysis for Decision Makers Fall 2007 - Sections DC01 Exploring A Trip to Hawaii What drives flight delays between DC and Honolulu by Prashant Bhaip Andres Garay Vedat Kaplan Greg Vinogradovg

More information

Winter-Weather Forecast Research

Winter-Weather Forecast Research Winter-Weather Forecast Research Dr. Jennifer Bewley 23 April 2014 AvMet Applications, Inc. 1800 Alexander Bell Dr., Ste. 130 Reston, 1 VA 20191 Number of Hours with Wintry Precipitation November 2013

More information

Analysis of Ground-Based Radar Low- Altitude Wind-Shear Detection in OEP Terminal Airspace for NextGen

Analysis of Ground-Based Radar Low- Altitude Wind-Shear Detection in OEP Terminal Airspace for NextGen Project Report ATC-375 Analysis of Ground-Based Radar Low- Altitude Wind-Shear Detection in OEP Terminal Airspace for NextGen S. Huang J.Y.N. Cho 2 December 2010 Lincoln Laboratory MASSACHUSETTS INSTITUTE

More information

Core 30 Airport Weather Impact Assessment

Core 30 Airport Weather Impact Assessment Core 30 Airport Weather Impact Assessment Edward Hahn 22 July 2014 AvMet Applications, Inc. 1800 Alexander Bell Dr., Ste. 130 Reston, 1 VA 20191 Core Airport Service Analysis Research First study to examine

More information

Time Series Analyses of Integrated Terminal Weather System Effects on System Airport Efficiency Ratings

Time Series Analyses of Integrated Terminal Weather System Effects on System Airport Efficiency Ratings DOT/FAA/AM-07/28 Office of Aerospace Medicine Washington, DC 20591 Time Series Analyses of Integrated Terminal Weather System Effects on System Airport Efficiency Ratings Elaine M. Pfleiderer Scott M.

More information

Terminal Domain Decision Support. Jim Evans MIT Lincoln Lab. Tom Davis

Terminal Domain Decision Support. Jim Evans MIT Lincoln Lab. Tom Davis Terminal Domain Decision Support Jim Evans MIT Lincoln Lab on behalf of Tom Davis NASA Ames Outline Review of Center-TRACON Advisory System (CTAS) Winds information to support trajectory calculations Convective

More information

Using Ensemble Weather Forecasts for Predicting Airport Runway Configuration and Capacity

Using Ensemble Weather Forecasts for Predicting Airport Runway Configuration and Capacity AIAA Aviation 13-17 June 2016, Washington, D.C. 16th AIAA Aviation Technology, Integration, and Operations Conference Approved for Public Release; Distribution Unlimited. 16-1618. 2016 The MITRE Corporation.

More information

Isolating and Assessing Weather-related Air Traffic Delays. A closer-look at what makes this so difficult... Mike Robinson AvMet Applications, Inc.

Isolating and Assessing Weather-related Air Traffic Delays. A closer-look at what makes this so difficult... Mike Robinson AvMet Applications, Inc. Isolating and Assessing Weather-related Air Traffic Delays A closer-look at what makes this so difficult... Mike Robinson AvMet Applications, Inc. Is this me? 1 What is a Weather Delay? (It depends on

More information

Corridor Integrated Weather System (CIWS) MIT Lincoln Laboratory. CIWS D. Meyer 10/21/05

Corridor Integrated Weather System (CIWS) MIT Lincoln Laboratory. CIWS D. Meyer 10/21/05 Corridor Integrated Weather System () Outline Example of Weather Impacting Air traffic Impacts on worst delay day Ways to reduce delay Improve forecasts Aid traffic flow management Aviation Delay Problem

More information

A Comparative Analysis of Models for Predicting Delays in Air Traffic Networks

A Comparative Analysis of Models for Predicting Delays in Air Traffic Networks Twelfth USA/Europe Air Traffic Management Research and Development Seminar (ATM2017) A Comparative Analysis of Models for Predicting Delays in Air Traffic Networks Karthik Gopalakrishnan and Hamsa Balakrishnan

More information

Traffic Flow Impact (TFI)

Traffic Flow Impact (TFI) Traffic Flow Impact (TFI) Michael P. Matthews 27 October 2015 Sponsor: Yong Li, FAA ATO AJV-73 Technical Analysis & Operational Requirements Distribution Statement A. Approved for public release; distribution

More information

Jarrod Lichty, R. S. Lee, and S. Percic AvMet Applications, Inc., Reston, Va.

Jarrod Lichty, R. S. Lee, and S. Percic AvMet Applications, Inc., Reston, Va. 642 Impact-Based Aviation Forecast Verification Jarrod Lichty, R. S. Lee, and S. Percic AvMet Applications, Inc., Reston, Va. 1 INTRODUCTION The evaluation of weather forecast quality, as related to air

More information

Airport Capacity Prediction Considering Weather Forecast Uncertainty. Rafal Kicinger, Jit-Tat Chen, Matthias Steiner, and James Pinto

Airport Capacity Prediction Considering Weather Forecast Uncertainty. Rafal Kicinger, Jit-Tat Chen, Matthias Steiner, and James Pinto Airport Capacity Prediction Considering Weather Forecast Uncertainty Rafal Kicinger, Jit-Tat Chen, Matthias Steiner, and James Pinto FPAW Fall Meeting, 1 October 22, 214 Develop an analytical model that

More information

Causal Analysis of En Route Flight Inefficiency in the US

Causal Analysis of En Route Flight Inefficiency in the US Causal Analysis of En Route Flight Inefficiency in the US Yulin Liu, Mark Hansen University of California, Berkeley Michael Ball, David Lovell, Cara Chuang University of Maryland, College Park John Gulding

More information

GAMINGRE 8/1/ of 7

GAMINGRE 8/1/ of 7 FYE 09/30/92 JULY 92 0.00 254,550.00 0.00 0 0 0 0 0 0 0 0 0 254,550.00 0.00 0.00 0.00 0.00 254,550.00 AUG 10,616,710.31 5,299.95 845,656.83 84,565.68 61,084.86 23,480.82 339,734.73 135,893.89 67,946.95

More information

EVALUATING THE IMPACTS OF HAZE ON AIR TRAFFIC OPERATIONS

EVALUATING THE IMPACTS OF HAZE ON AIR TRAFFIC OPERATIONS EVALUATING THE IMPACTS OF HAZE ON AIR TRAFFIC OPERATIONS Robert S. Lee*, Chad Craun, Michael Robinson, Mark Phaneuf AvMet Applications, Inc. 1. INTRODUCTION Haze, a relatively complex and frequently observed

More information

MEASURING THE UTILIZATION OF AVAILABLE AVIATION SYSTEM CAPACITY IN CONVECTIVE WEATHER

MEASURING THE UTILIZATION OF AVAILABLE AVIATION SYSTEM CAPACITY IN CONVECTIVE WEATHER 3.3 MEASURING THE UTILIZATION OF AVAILABLE AVIATION SYSTEM CAPACITY IN CONVECTIVE WEATHER Michael Robinson* William Moser James E. Evans Massachusetts Institute of Technology Lincoln Laboratory Lexington,

More information

Weather Sensing and Data Fusion to Improve Safety and Reduce Delays at Major West Coast Airports

Weather Sensing and Data Fusion to Improve Safety and Reduce Delays at Major West Coast Airports Report No. DOT/FAA/RD-95/5 Project Report ATC-290 Weather Sensing and Data Fusion to Improve Safety and Reduce Delays at Major West Coast Airports J.E. Evans T.J. Dasey D.A. Rhoda R.E. Cole F.W. Wilson

More information

Terminal Ceiling & Visibility PDT

Terminal Ceiling & Visibility PDT Terminal Ceiling & Visibility PDT AWRP Program Management Review 19 November 2002 Dave Clark PMR_Nov_02-1 Terminal C&V Project Areas SFO Marine Stratus Forecast System - 2002 Activities - Continued development

More information

Predicting flight on-time performance

Predicting flight on-time performance 1 Predicting flight on-time performance Arjun Mathur, Aaron Nagao, Kenny Ng I. INTRODUCTION Time is money, and delayed flights are a frequent cause of frustration for both travellers and airline companies.

More information

Using Ensemble Forecasts to Support NAS Strategic Planning

Using Ensemble Forecasts to Support NAS Strategic Planning Center for Advanced Aviation System Development Using Ensemble Forecasts to Support NAS Strategic Planning Alex Tien, Christine Taylor, Craig Wanke Friends and Partners in Aviation Weather Forum NBAA Business

More information

ATM Network Performance Report

ATM Network Performance Report ATM Network Performance Report 2019 Page 1 of 18 Table of contents Summary... 3 Network Wide Performance... 4 Airborne delay... 4 Sydney... 7 Airborne delay... 7 Notable events... 7 Melbourne... 9 Airborne

More information

2.3 QUANTIFYING DELAY REDUCTION BENEFITS FOR AVIATION CONVECTIVE WEATHER DECISION SUPPORT SYSTEMS*

2.3 QUANTIFYING DELAY REDUCTION BENEFITS FOR AVIATION CONVECTIVE WEATHER DECISION SUPPORT SYSTEMS* Proceedings of the 11 th Conference on Aviation, Range and Aerospace Meteorology, Hyannis, MA 24 2.3 QUANTIFYING DELAY REDUCTION BENEFITS FOR AVIATION CONVECTIVE WEATHER DECISION SUPPORT SYSTEMS* James

More information

Applications of Linear Programming - Minimization

Applications of Linear Programming - Minimization Applications of Linear Programming - Minimization Drs. Antonio A. Trani and H. Baik Professor of Civil Engineering Virginia Tech Analysis of Air Transportation Systems June 9-12, 2010 1 of 49 Recall the

More information

21. Set cover and TSP

21. Set cover and TSP CS/ECE/ISyE 524 Introduction to Optimization Spring 2017 18 21. Set cover and TSP ˆ Set covering ˆ Cutting problems and column generation ˆ Traveling salesman problem Laurent Lessard (www.laurentlessard.com)

More information

Queueing Systems: Lecture 6. Lecture Outline

Queueing Systems: Lecture 6. Lecture Outline Queueing Systems: Lecture 6 Amedeo R. Odoni November 6, 2006 Lecture Outline Congestion pricing in transportation: the fundamental ideas Congestion pricing and queueing theory Numerical examples A real

More information

Prediction and Uncertainty Quantification of Daily Airport Flight Delays

Prediction and Uncertainty Quantification of Daily Airport Flight Delays Proceedings of Machine Learning Research 82 (2017) 45-51, 4th International Conference on Predictive Applications and APIs Prediction and Uncertainty Quantification of Daily Airport Flight Delays Thomas

More information

Weather Forecast Guidance and Impact on NAS Management August 3, 2016

Weather Forecast Guidance and Impact on NAS Management August 3, 2016 Friends and Partners of Aviation Weather Summer 2016 Meeting Weather Forecast Guidance and Impact on NAS Management August 3, 2016 Jim Enders and Kevin Johnston FAA Air Traffic Organization INTRODUCTION

More information

IMPROVING THE ACCURACY OF RUNWAY ALLOCATION IN AIRCRAFT NOISE PREDICTION

IMPROVING THE ACCURACY OF RUNWAY ALLOCATION IN AIRCRAFT NOISE PREDICTION IMPROVING THE ACCURACY OF RUNWAY ALLOCATION IN AIRCRAFT NOISE PREDICTION David G. Southgate and Jonathan P. Firth Aviation Operations, Dept of Transport and Regional Services (DOTARS), Canberra, Australia

More information

Time Series Analysis

Time Series Analysis Time Series Analysis A time series is a sequence of observations made: 1) over a continuous time interval, 2) of successive measurements across that interval, 3) using equal spacing between consecutive

More information

Generating probabilistic capacity scenarios from weather forecast: A design-of-experiment approach. Gurkaran Singh Buxi Mark Hansen

Generating probabilistic capacity scenarios from weather forecast: A design-of-experiment approach. Gurkaran Singh Buxi Mark Hansen Generating probabilistic capacity scenarios from weather forecast: A design-of-experiment approach Gurkaran Singh Buxi Mark Hansen Overview 1. Introduction & motivation 2. Current practice & literature

More information

Linear Multivariable Regression Models for Prediction of Eddy Dissipation Rate from Available Meteorological Data

Linear Multivariable Regression Models for Prediction of Eddy Dissipation Rate from Available Meteorological Data November 30 & December 1, 2004 Langen, Germany Linear Multivariable Regression Models for Prediction of Eddy Dissipation Rate from Available Meteorological Data Gerald E. Plassman 1, Gerald H. Mall 2,

More information

On the Modeling of Airport Arrival and Departure Delay Distributions

On the Modeling of Airport Arrival and Departure Delay Distributions International Symposium on Computers & Informatics (ISCI 215) On the Modeling of Airport Arrival and Departure Delay Distributions Qian Wu School of Information Engineering, MinZu University of China,

More information

Accuracy in Predicting GDPs and Airport Delays from Weather Forecast Data

Accuracy in Predicting GDPs and Airport Delays from Weather Forecast Data Accuracy in Predicting GDPs and Airport Delays from Weather Forecast Data David Smith Center for Air Transportation Systems Research George Mason University Fairfax, VA September 6, 2007 CENTER FOR AIR

More information

Significant Rainfall and Peak Sustained Wind Estimates For Downtown San Francisco

Significant Rainfall and Peak Sustained Wind Estimates For Downtown San Francisco Significant Rainfall and Peak Sustained Wind Estimates For Downtown San Francisco Report Prepared by John P. Monteverdi, PhD, CCM July 30, 1998 Mayacamas Weather Consultants 1. Impact of Location The location

More information

Florida Courts E-Filing Authority Board. Service Desk Report March 2019

Florida Courts E-Filing Authority Board. Service Desk Report March 2019 Florida Courts E-Filing Authority Board Service Desk Report March 219 Customer Service Incidents March 219 Status January 219 February 219 March 219 Incidents Received 3,261 3,51 3,118 Incidents Worked

More information

VISITING OUR OFFICE IN MINDEN.

VISITING OUR OFFICE IN MINDEN. MINDEN Hotel recommendations Flight Information Time Zones Airport Information Landmarks and driving distance Car Rentals Weather Climate GOOD TO KNOW VISITING OUR OFFICE IN MINDEN. 2243 Park Place Suite

More information

BRADSHAW'S RAILWAY GUIDE : accessible copies

BRADSHAW'S RAILWAY GUIDE : accessible copies BRADSHAW'S RAILWAY GUIDE : accessible copies Y = copy held; YS = copy held with supplement; R = reprint held; I = incomplete copy held; F = fragile copy (not available for general public - access limited);

More information

Weather Integration for Strategic Traffic Flow Management

Weather Integration for Strategic Traffic Flow Management The MITRE Corporation s Center for Advanced Aviation System Development Approved for Public Release; Distribution Unlimited. 15-3356 Weather Integration for Strategic Traffic Flow Management Dr. Christine

More information

Centrality Measures In The Real World. David Kravitz

Centrality Measures In The Real World. David Kravitz Centrality Measures In The Real World David Kravitz dkravitz78@gmail.com Graph Questions For Today Given a record of all phone calls made in one town over a period of one month, who is the most influential

More information

Robert Sharman*, Jamie Wolff, Tressa L. Fowler, and Barbara G. Brown National Center for Atmospheric Research, Boulder, CO USA

Robert Sharman*, Jamie Wolff, Tressa L. Fowler, and Barbara G. Brown National Center for Atmospheric Research, Boulder, CO USA J1.8 CLIMATOLOGIES OF UPPER-LEVEL TURBULENCE OVER THE CONTINENTAL U.S. AND OCEANS 1. Introduction Robert Sharman*, Jamie Wolff, Tressa L. Fowler, and Barbara G. Brown National Center for Atmospheric Research,

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Lexington, Massachusetts. Prepared for the Federal Aviation Administration, Washington, DC 20591

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Lexington, Massachusetts. Prepared for the Federal Aviation Administration, Washington, DC 20591 Project Report ATC-340 Detection Probability Modeling for Airport Wind-Shear Sensors John Y. N. Cho Robert G. Hallowell August 28, 2008 Lincoln Laboratory MASSACHUSETTS INSTITUTE OF TECHNOLOGY Lexington,

More information

EXAMINATIONS OF THE ROYAL STATISTICAL SOCIETY

EXAMINATIONS OF THE ROYAL STATISTICAL SOCIETY EXAMINATIONS OF THE ROYAL STATISTICAL SOCIETY GRADUATE DIPLOMA, 011 MODULE 3 : Stochastic processes and time series Time allowed: Three Hours Candidates should answer FIVE questions. All questions carry

More information

Jackson County 2018 Weather Data 67 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center

Jackson County 2018 Weather Data 67 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Jackson County 2018 Weather Data 67 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Doug Mayo Jackson County Extension Director 1952-2008 Rainfall Data

More information

Technical note on seasonal adjustment for M0

Technical note on seasonal adjustment for M0 Technical note on seasonal adjustment for M0 July 1, 2013 Contents 1 M0 2 2 Steps in the seasonal adjustment procedure 3 2.1 Pre-adjustment analysis............................... 3 2.2 Seasonal adjustment.................................

More information

QUANTIFICATION OF PREDICTED IMPACT OF WEATHER ON AIR TRAFFIC AND COMPARISON WITH ACTUAL IMPACT

QUANTIFICATION OF PREDICTED IMPACT OF WEATHER ON AIR TRAFFIC AND COMPARISON WITH ACTUAL IMPACT 2.3 QUANTIFICATION OF PREDICTED IMPACT OF WEATHER ON AIR TRAFFIC AND COMPARISON WITH ACTUAL IMPACT Alexander Klein Air Traffic Analysis, Inc, Fairfax, Virginia Richard Jehlen Federal Aviation Administration,

More information

Jackson County 2013 Weather Data

Jackson County 2013 Weather Data Jackson County 2013 Weather Data 61 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Doug Mayo Jackson County Extension Director 1952-2008 Rainfall Data

More information

Algorithms Demands and Bounds. Demands and Bounds. Design and Analysis of Algorithms Andrei Bulatov

Algorithms Demands and Bounds. Demands and Bounds. Design and Analysis of Algorithms Andrei Bulatov Algorithms Demands and Bounds Demands and Bounds Design and Analysis of Algorithms Andrei Bulato Algorithms Demands and Bounds 1- Demands In our flow network model there is only 1 source and sink Can we

More information

REGIONAL TRAINING COURSE ON METHODS AND TOOLS TO IDENTIFY SOURCES OF AIR POLLUTION

REGIONAL TRAINING COURSE ON METHODS AND TOOLS TO IDENTIFY SOURCES OF AIR POLLUTION REGIONAL TRAINING COURSE ON METHODS AND TOOLS TO IDENTIFY SOURCES OF AIR POLLUTION IAEA RER 1013: Supporting Air Quality Management Source apportionment by Positive Matrix Factorization Marta Almeida Email:

More information

Mountain View Community Shuttle Monthly Operations Report

Mountain View Community Shuttle Monthly Operations Report Mountain View Community Shuttle Monthly Operations Report December 6, 2018 Contents Passengers per Day, Table...- 3 - Passengers per Day, Chart...- 3 - Ridership Year-To-Date...- 4 - Average Daily Ridership

More information

There are four questions worth a total of 100 marks. You should attempt them all.

There are four questions worth a total of 100 marks. You should attempt them all. Instructions There are four questions worth a total of 100 marks. You should attempt them all. QUESTION 1 This question is about tidy data, principles and practice. (a) Fill in the blanks. [6 marks] A

More information

Constructing a Passenger Trip Delay Metric

Constructing a Passenger Trip Delay Metric Constructing a Passenger Trip Delay Metric An Aggregate-level Approach Shin-Lai Tien Department o Civil & Environmental Engineering University o Maryland College Park, MD 2742, U.S.A. alextien (at) umd.edu

More information

EFFECTIVE OCTOBER 1, 2003

EFFECTIVE OCTOBER 1, 2003 EFFECTIVE OCTOBER 1, 2003 How to use our Timetable: This is not an actual flight it is an example only. 1 Departure City Dep Arr Flight Type Freq St Meal Dur 2 Arrival City 1 2 Dallas/Fort Worth TX US

More information

Weather Products for Decision Support Tools Joe Sherry April 10, 2001

Weather Products for Decision Support Tools Joe Sherry April 10, 2001 Weather Products for Decision Support Tools Joe Sherry National Convective Weather Forecast (NCWF) Computer generated graphical forecast extending 0-1 hours, updated every 5 minutes Conservative forecast

More information

J2.4 SKILLFUL SEASONAL DEGREE-DAY FORECASTS AND THEIR UTILITY IN THE WEATHER DERIVATIVES MARKET

J2.4 SKILLFUL SEASONAL DEGREE-DAY FORECASTS AND THEIR UTILITY IN THE WEATHER DERIVATIVES MARKET J2.4 SKILLFUL SEASONAL DEGREE-DAY FORECASTS AND THEIR UTILITY IN THE WEATHER DERIVATIVES MARKET Jeffrey A. Shorter, Todd M. Crawford, Robert J. Boucher, James P. Burbridge WSI Corporation, Billerica, MA

More information

SYSTEM BRIEF DAILY SUMMARY

SYSTEM BRIEF DAILY SUMMARY SYSTEM BRIEF DAILY SUMMARY * ANNUAL MaxTemp NEL (MWH) Hr Ending Hr Ending LOAD (PEAK HOURS 7:00 AM TO 10:00 PM MON-SAT) ENERGY (MWH) INCREMENTAL COST DAY DATE Civic TOTAL MAXIMUM @Max MINIMUM @Min FACTOR

More information

Climatography of the United States No

Climatography of the United States No Climate Division: AK 5 NWS Call Sign: ANC Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 90 Number of s (3) Jan 22.2 9.3 15.8

More information

Throughput, Risk, and Economic Optimality of Runway Landing Operations

Throughput, Risk, and Economic Optimality of Runway Landing Operations Throughput, Risk, and Economic Optimality of Runway Landing Operations Babak Jeddi John Shortle Center for Air Transportation Systems Research George Mason University July 3, 27 7 th USA/Europe ATM 27

More information

An Operational Evaluation of the Ground Delay Program (GDP) Parameters Selection Model (GPSM)

An Operational Evaluation of the Ground Delay Program (GDP) Parameters Selection Model (GPSM) An Operational Evaluation of the Ground Delay Program (GDP) Parameters Selection Model (GPSM) Lara Shisler, Christopher Provan Mosaic ATM Dave Clark MIT Lincoln Lab William Chan, Shon Grabbe NASA Ames

More information

AAMC s Approach to Managing Patient Throughput. Barbara S Jacobs, MSN, RN-BC, NEA-BC, CCRN-K, Chief Nursing Officer

AAMC s Approach to Managing Patient Throughput. Barbara S Jacobs, MSN, RN-BC, NEA-BC, CCRN-K, Chief Nursing Officer AAMC s Approach to Managing Patient Throughput Barbara S Jacobs, MSN, RN-BC, NEA-BC, CCRN-K, Chief Nursing Officer Our Original State June 2016 375 Licensed beds 97,000 Emergency Department visits per

More information

Methodology for the creation of meteorological datasets for Local Air Quality modelling at airports

Methodology for the creation of meteorological datasets for Local Air Quality modelling at airports Methodology for the creation of meteorological datasets for Local Air Quality modelling at airports Nicolas DUCHENE, James SMITH (ENVISA) Ian FULLER (EUROCONTROL Experimental Centre) About ENVISA Noise

More information

BUSI 460 Suggested Answers to Selected Review and Discussion Questions Lesson 7

BUSI 460 Suggested Answers to Selected Review and Discussion Questions Lesson 7 BUSI 460 Suggested Answers to Selected Review and Discussion Questions Lesson 7 1. The definitions follow: (a) Time series: Time series data, also known as a data series, consists of observations on a

More information

Salem Economic Outlook

Salem Economic Outlook Salem Economic Outlook November 2012 Tim Duy, PHD Prepared for the Salem City Council November 7, 2012 Roadmap US Economic Update Slow and steady Positives: Housing/monetary policy Negatives: Rest of world/fiscal

More information

WHEN IS IT EVER GOING TO RAIN? Table of Average Annual Rainfall and Rainfall For Selected Arizona Cities

WHEN IS IT EVER GOING TO RAIN? Table of Average Annual Rainfall and Rainfall For Selected Arizona Cities WHEN IS IT EVER GOING TO RAIN? Table of Average Annual Rainfall and 2001-2002 Rainfall For Selected Arizona Cities Phoenix Tucson Flagstaff Avg. 2001-2002 Avg. 2001-2002 Avg. 2001-2002 October 0.7 0.0

More information

2017 MASSACHUSETTS INSTITUTE OF TECHNOLOGY

2017 MASSACHUSETTS INSTITUTE OF TECHNOLOGY This material is based upon work supported by the Federal Aviation Administration (FAA) under Air Force Contract No. FA8721-05-C-0002 and/or FA8702-15-D-0001. Any opinions, findings, conclusions or recommendations

More information

Day Length Web Activity

Day Length Web Activity Day Length We Activity SAMPLE Name: Follow the directions for each section and type your answers on a separate sheet of paper. Use TI-Graph Link or TI Inter Active! to present your data and models you

More information

Scarborough Tide Gauge

Scarborough Tide Gauge Tide Gauge Location OS: 504898E 488622N WGS84: Latitude: 54 16' 56.990"N Longitude: 00 23' 25.0279"W Instrument Valeport 740 (Druck Pressure Transducer) Benchmarks Benchmark Description TGBM = 4.18m above

More information

ESTIMATING THE LIKELIHOOD OF SUCCESS IN DEPARTURE MANAGEMENT STRATEGIES DURING CONVECTIVE WEATHER

ESTIMATING THE LIKELIHOOD OF SUCCESS IN DEPARTURE MANAGEMENT STRATEGIES DURING CONVECTIVE WEATHER ESTIMATING THE LIKELIHOOD OF SUCCESS IN DEPARTURE MANAGEMENT STRATEGIES DURING CONVECTIVE WEATHER Rich DeLaura, Ngaire Underhill, and Yari Rodriguez MIT Lincoln Laboratory, Lexington, Massachusetts Abstract

More information

Winter Season Resource Adequacy Analysis Status Report

Winter Season Resource Adequacy Analysis Status Report Winter Season Resource Adequacy Analysis Status Report Tom Falin Director Resource Adequacy Planning Markets & Reliability Committee October 26, 2017 Winter Risk Winter Season Resource Adequacy and Capacity

More information

Jackson County 2014 Weather Data

Jackson County 2014 Weather Data Jackson County 2014 Weather Data 62 Years of Weather Data Recorded at the UF/IFAS Marianna North Florida Research and Education Center Doug Mayo Jackson County Extension Director 1952-2008 Rainfall Data

More information

Traffic Flow Management (TFM) Weather Rerouting Decision Support. Stephen Zobell, Celesta Ball, and Joseph Sherry MITRE/CAASD, McLean, Virginia

Traffic Flow Management (TFM) Weather Rerouting Decision Support. Stephen Zobell, Celesta Ball, and Joseph Sherry MITRE/CAASD, McLean, Virginia Traffic Flow Management (TFM) Weather Rerouting Decision Support Stephen Zobell, Celesta Ball, and Joseph Sherry MITRE/CAASD, McLean, Virginia Stephen Zobell, Celesta Ball, and Joseph Sherry are Technical

More information

Design of a Weather-Normalization Forecasting Model

Design of a Weather-Normalization Forecasting Model Design of a Weather-Normalization Forecasting Model Final Briefing 09 May 2014 Sponsor: Northern Virginia Electric Cooperative Abram Gross Jedidiah Shirey Yafeng Peng OR-699 Agenda Background Problem Statement

More information

Progress in Aviation Weather Forecasting for ATM Decision Making FPAW 2010

Progress in Aviation Weather Forecasting for ATM Decision Making FPAW 2010 Progress in Aviation Weather Forecasting for ATM Decision Making FPAW 2010 Jim Evans Marilyn Wolfson 21 October 2010-1 Overview (1) Integration with storm avoidance models and ATC route usage models (2)

More information

January 04, resilience360.com

January 04, resilience360.com January 04, 2018 resilience360.com resilience360@dhl.com 2 DHL RESILIENCE360 SPECIAL BRIEF On Wednesday, January 3, a powerful winter storm made landfall on the US East Coast, covering southeastern states

More information

Paul M. Iñiguez* NOAA/National Weather Service, Phoenix, AZ

Paul M. Iñiguez* NOAA/National Weather Service, Phoenix, AZ JP2.9 THE PHOENIX RAINFALL INDEX Paul M. Iñiguez* NOAA/National Weather Service, Phoenix, AZ 1. INTRODUCTION Like many other large western cities, Phoenix has a database of daily weather observations,

More information

Calculations Equation of Time. EQUATION OF TIME = apparent solar time - mean solar time

Calculations Equation of Time. EQUATION OF TIME = apparent solar time - mean solar time Calculations Equation of Time APPARENT SOLAR TIME is the time that is shown on sundials. A MEAN SOLAR DAY is a constant 24 hours every day of the year. Apparent solar days are measured from noon one day

More information

YACT (Yet Another Climate Tool)? The SPI Explorer

YACT (Yet Another Climate Tool)? The SPI Explorer YACT (Yet Another Climate Tool)? The SPI Explorer Mike Crimmins Assoc. Professor/Extension Specialist Dept. of Soil, Water, & Environmental Science The University of Arizona Yes, another climate tool for

More information

Climatography of the United States No

Climatography of the United States No Climate Division: CA 6 NWS Call Sign: LAX Elevation: 1 Feet Lat: 33 Month (1) Min (2) Month(1) Extremes Lowest (2) Temperature ( F) Lowest Month(1) Degree s (1) Base Temp 65 Heating Cooling 1 Number of

More information

Suppression of colonies of Reticulitermes spp. using the Sentricon termite colony elimination system: : A case study in Chatsworth, CA

Suppression of colonies of Reticulitermes spp. using the Sentricon termite colony elimination system: : A case study in Chatsworth, CA Suppression of colonies of Reticulitermes spp. using the Sentricon termite colony elimination system: : A case study in Chatsworth, CA Gail M. Getty, MS, Chris Solek, MS, Ron 1 1 Sbragia, Ph.D., Michael

More information

Location. Datum. Survey. information. Etrometa. Step Gauge. Description. relative to Herne Bay is -2.72m. The site new level.

Location. Datum. Survey. information. Etrometa. Step Gauge. Description. relative to Herne Bay is -2.72m. The site new level. Tide Gauge Location OS: 616895E 169377N WGS84: Latitude: 51 o 22.919196 N Longitude: 01 o 6.9335907 E Instrument Type Etrometa Step Gauge Benchmarks Benchmark TGBM = 5.524m above Ordnance Datum Newlyn

More information

AIT Graduation (Pinning Ceremony) 1-78th Field Artillery

AIT Graduation (Pinning Ceremony) 1-78th Field Artillery 13B10 CANNON CREWMEMBER 13D10 FA TACTICAL DATA SYS SPECIALIST 16-10 12 FEB 10 26 MAR 10 21-10 12 FEB 10 6 APR 10 18-10 19 FEB 10 1 APR 10 22-10 12 FEB 10 6 APR 10 19-10 19 MAR 10 29 APR 10 23-10 19 FEB

More information

Appendix BAL Baltimore, Maryland 2003 Annual Report on Freeway Mobility and Reliability

Appendix BAL Baltimore, Maryland 2003 Annual Report on Freeway Mobility and Reliability (http://mobility.tamu.edu/mmp) Office of Operations, Federal Highway Administration Appendix BAL Baltimore, Maryland 2003 Annual Report on Freeway Mobility and Reliability This report is a supplement to:

More information

Determine the trend for time series data

Determine the trend for time series data Extra Online Questions Determine the trend for time series data Covers AS 90641 (Statistics and Modelling 3.1) Scholarship Statistics and Modelling Chapter 1 Essent ial exam notes Time series 1. The value

More information

Location. Datum. Survey. information. Etrometa. Step Gauge. Description. relative to Herne Bay is -2.72m. The site new level.

Location. Datum. Survey. information. Etrometa. Step Gauge. Description. relative to Herne Bay is -2.72m. The site new level. Tide Gauge Location OS: 616895E 169377N WGS84: Latitude: 51 o 22.919196 N Longitude: 01 o 6.9335907 E Instrument Type Etrometa Step Gauge Benchmarks Benchmark TGBM = 5.524m above Ordnance Datum Newlyn

More information

An introduction to homogenisation

An introduction to homogenisation An introduction to homogenisation WMO-ETSCI Workshop, Pune 3-7 October 2016 Acacia Pepler Australian Bureau of Meteorology What do we want? A perfect station A well-situated and maintained station with

More information

Working Paper Series Department of Economics Alfred Lerner College of Business & Economics University of Delaware

Working Paper Series Department of Economics Alfred Lerner College of Business & Economics University of Delaware Working Paper Series Department of Economics Alfred Lerner College of Business & Economics University of Delaware Working Paper No. 2005-07 There and Back Again: Airline Routes, Fares, and Passenger Flows

More information

The Planning of Ground Delay Programs Subject to Uncertain Capacity

The Planning of Ground Delay Programs Subject to Uncertain Capacity The Planning of Ground Delay Programs Subject to Uncertain Capacity Michael Hanowsky October 26, 2006 The Planning of Ground Delay Programs Subject to Uncertain Capacity Michael Hanowsky Advising Committee:

More information

FEB DASHBOARD FEB JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC

FEB DASHBOARD FEB JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEC Positive Response Compliance 215 Compliant 215 Non-Compliant 216 Compliant 216 Non-Compliant 1% 87% 96% 86% 96% 88% 89% 89% 88% 86% 92% 93% 94% 96% 94% 8% 6% 4% 2% 13% 4% 14% 4% 12% 11% 11% 12% JAN MAR

More information

Future Weather in Toronto and the GTA

Future Weather in Toronto and the GTA Future Weather in Toronto and the GTA Due to Climate Change Electrical Sector Meeting, Nov. 23 rd, 2011 Christopher Ll. Morgan, PhD Toronto Environment Office Contents 2 Introduction (Why We Did What We

More information

TILT, DAYLIGHT AND SEASONS WORKSHEET

TILT, DAYLIGHT AND SEASONS WORKSHEET TILT, DAYLIGHT AND SEASONS WORKSHEET Activity Description: Students will use a data table to make a graph for the length of day and average high temperature in Utah. They will then answer questions based

More information

Technical note on seasonal adjustment for Capital goods imports

Technical note on seasonal adjustment for Capital goods imports Technical note on seasonal adjustment for Capital goods imports July 1, 2013 Contents 1 Capital goods imports 2 1.1 Additive versus multiplicative seasonality..................... 2 2 Steps in the seasonal

More information

EFFECTIVE DECEMBER 1, 2003 GET AGREAT LOW FARE. AND A LOT MORE AIRLINE.

EFFECTIVE DECEMBER 1, 2003 GET AGREAT LOW FARE. AND A LOT MORE AIRLINE. EFFECTIVE DECEMBER 1, 2003 GET AGREAT LOW FARE. AND A LOT MORE AIRLINE. How to use our Timetable: This is not an actual flight it is an example only. 1 Departure City Dep Arr Flight Type Freq St Meal Dur

More information

MEASURING AND RANKING EFFICIENCY OF MAJOR AIRPORTS IN THE UNITED STATES USING DATA ENVELOPMENT ANALYSIS

MEASURING AND RANKING EFFICIENCY OF MAJOR AIRPORTS IN THE UNITED STATES USING DATA ENVELOPMENT ANALYSIS MEASURING AND RANKING EFFICIENCY OF MAJOR AIRPORTS IN THE UNITED STATES USING DATA ENVELOPMENT ANALYSIS Myughyu Lee Poect epot submitted to the faculty of the Vigiia Polytechic Istitute ad State Uivesity

More information

Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds.

Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. Proceedings of the 2017 Winter Simulation Conference W. K. V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, and E. Page, eds. USING FAST-TIME SIMULATION TO ASSESS WEATHER FORECAST ACCURACY

More information

S95 INCOME-TESTED ASSISTANCE RECONCILIATION WORKSHEET (V3.1MF)

S95 INCOME-TESTED ASSISTANCE RECONCILIATION WORKSHEET (V3.1MF) Welcome! Here's your reconciliation Quick-Start. Please read all five steps before you get started. 1 2 3 Excel 2003? Are you using software other than Microsoft Excel 2003? Say what? Here are the concepts

More information

Montana Drought & Climate

Montana Drought & Climate Montana Drought & Climate MARCH 219 MONITORING AND FORECASTING FOR AGRICULTURE PRODUCERS A SERVICE OF THE MONTANA CLIMATE OFFICE IN THIS ISSUE IN BRIEF PAGE 2 REFERENCE In a Word PAGE 3 REVIEW Winter 219:

More information

Met Éireann Climatological Note No. 15 Long-term rainfall averages for Ireland,

Met Éireann Climatological Note No. 15 Long-term rainfall averages for Ireland, Met Éireann Climatological Note No. 15 Long-term rainfall averages for Ireland, 1981-2010 Séamus Walsh Glasnevin Hill, Dublin 9 2016 Disclaimer Although every effort has been made to ensure the accuracy

More information

Minnesota s Climatic Conditions, Outlook, and Impacts on Agriculture. Today. 1. The weather and climate of 2017 to date

Minnesota s Climatic Conditions, Outlook, and Impacts on Agriculture. Today. 1. The weather and climate of 2017 to date Minnesota s Climatic Conditions, Outlook, and Impacts on Agriculture Kenny Blumenfeld, State Climatology Office Crop Insurance Conference, Sep 13, 2017 Today 1. The weather and climate of 2017 to date

More information