US National Fire Danger Rating System: Past, Present and Future

Size: px
Start display at page:

Download "US National Fire Danger Rating System: Past, Present and Future"

Transcription

1 US National Fire Danger System: Past, Present and Future Dr. W. Matt Jolly US Forest Service, Fire Sciences Laboratory Missoula, MT 17/09/2008 NWCG IRMWT 1

2 Outline Introduction to the US National Fire Danger System Decision making and breakpoints Future directions of NFDRS in United States

3 Introduction to the US NFDRS First National System in 1972, Updated in 1978 and Modified in 1988 Point-based Based on ~2200 Remote Automated Weather Stations (RAWS) nationwide All manager have control over their own stations Assumed to represent a broad area Indices are calculated and applied to a Danger area Point values are interpolated to create spatial maps and distributed on the Wildland Fire Assessment System

4

5 General Flow of Weather Observations Afternoon Wx (1300 LST) NFDRS Processor Observed Indices WIMS NIFMID Forecaster Applications FireFamily Plus

6 Simplified US NFDRS Flow Chart Site Information (Fuels and Topography) Daily Weather Data (RAWS) Previous Day s Fuel Moistures Fire Danger Estimates Live and Dead Fuel Moistures NFDRS Components and Indices Weather Fuel Topography Fire Environment Triangle

7

8 Alaska, Minnesota, Wisconsin and Michigan Use the CFFDRS

9 Uses of Fire Danger Fire Danger Signs Public Land Closures and Burning Restrictions Logging operations limited Dispatch and Staffing levels Pre-positioning resources Situational awareness for firefighter safety Wildland Fire Use Decisions

10 Decision Points Climatological Breakpoints Compare current values to historical values Fire Business Thresholds Compare historical fire danger values to fire occurrence Local managers decide the number and value of decision points using FireFamily Plus

11 FireFamily Plus Analysis Tools Examines historical fire danger climatology Determines breakpoints Also calculates the CFFWI Indices Variable season start-up and initialization Imports generic weather and fire occurrence data to calculate indices

12 The Gridded Fire Danger System Operational Gridded Products (WFAS) National Digital Forecast Database Spatial Fire Danger Estimates Standardized / Relative Indices Historical Gridded Climatology

13 National Digital Forecast Database National Weather Service operational gridded forecasts Updated at least twice daily Moderate resolution 5 Km being downscaled to 2.5 Km Three to six hour forecasts Entire CONUS coverage Alaska is also currently in experimental stage

14 Seven Day Fire Danger Forecast

15 Fire Danger Climatology using the North American Regional Reanalysis 32 km resolution for North America Three hourly data Includes all variables to calculate the US NFDRS Full dataset is ~4 TB

16 Example ERCg Grid

17

18 Comparison of ERC and Relative ERC for Flagstaff, AZ ERCg Relative ERCg Yearday Flagstaff ERC Flagstaff Relative ERC

19

20 Standardized NFDRS Forecast 17/09/2008 NWCG IRMWT 20

21 Based on climatological daily mean and standard deviation

22 Future Enhancements Revisit the current NFDRS structure and simplify the system Radiation-driven driven dead fuel moisture model New live fuel moisture model Initialize forecasts with gridded surface weather observations

23 Questions? 17/09/2008 NWCG IRMWT 23

FireFamily Plus User s Guide

FireFamily Plus User s Guide United States Department of Agriculture Forest Service Rocky Mountain Research Station General Technical Report RMRS-GTR-67-WWW September 2000 FireFamily Plus User s Guide Version 2.0 Larry Bradshaw Erin

More information

ECPC/NCEP March 2008 Seasonal Fire Danger Forecasts J. Roads 1, P. Tripp 1, H. Juang 2, J. Wang 2, S. Chen 3, F. Fujioka 3

ECPC/NCEP March 2008 Seasonal Fire Danger Forecasts J. Roads 1, P. Tripp 1, H. Juang 2, J. Wang 2, S. Chen 3, F. Fujioka 3 Roads, J., P. Tripp, H. Juang, J. Wang, S. Chen, F. Fujioka, 2008: ECPC/NCEP March 2008 Seasonal Fire Danger Forecasts. Experimental Long-Lead Forecasts Bulletin, 17, 7 pp. ECPC/NCEP March 2008 Seasonal

More information

Fire Weather Monitoring and Predictability in the Southeast

Fire Weather Monitoring and Predictability in the Southeast Fire Weather Monitoring and Predictability in the Southeast Corey Davis October 9, 2014 Photo: Pains Bay fire in 2011 (courtesy Donnie Harris, NCFWS) Outline Fire risk monitoring Fire risk climatology

More information

10.5 PROBABLISTIC LIGHTNING FORECASTS AND FUEL DRYNESS LEVEL FORECASTS IN THE GRAPHICAL FOREAST EDITOR: EXPANDED DOMAIN AND DISTRIBUTION FOR 2009

10.5 PROBABLISTIC LIGHTNING FORECASTS AND FUEL DRYNESS LEVEL FORECASTS IN THE GRAPHICAL FOREAST EDITOR: EXPANDED DOMAIN AND DISTRIBUTION FOR 2009 10.5 PROBABLISTIC LIGHTNING FORECASTS AND FUEL DRYNESS LEVEL FORECASTS IN THE GRAPHICAL FOREAST EDITOR: EXPANDED DOMAIN AND DISTRIBUTION FOR 2009 Chris V. Gibson 1*, and P. D. Bothwell 2, S. Sharples 3,

More information

FireFamilyPlus Version 5.0

FireFamilyPlus Version 5.0 FireFamilyPlus Version 5.0 Working with the new 2016 NFDRS model Objectives During this presentation, we will discuss Changes to FireFamilyPlus Data requirements for NFDRS2016 Quality control for data

More information

Development of U.S. Operational Fire Danger 15-Day Forecasts

Development of U.S. Operational Fire Danger 15-Day Forecasts Program for Climate, Ecosystem and Fire Applications Development of U.S. Operational Fire Danger 15-Day Forecasts Beth L. Hall Timothy J. Brown Larry S. Bradshaw Division of Atmospheric Sciences. CEFA

More information

4.5 Comparison of weather data from the Remote Automated Weather Station network and the North American Regional Reanalysis

4.5 Comparison of weather data from the Remote Automated Weather Station network and the North American Regional Reanalysis 4.5 Comparison of weather data from the Remote Automated Weather Station network and the North American Regional Reanalysis Beth L. Hall and Timothy. J. Brown DRI, Reno, NV ABSTRACT. The North American

More information

FINAL REPORT Phase One

FINAL REPORT Phase One FINAL REPORT Phase One FS Agreement Number: 03-JV-11222046-077 Cooperator Agreement Number: 2477 Evaluation of a New Dead Fuel Moisture Model in a Near-Real-Time Data Assimilation and Forecast Environment

More information

Zachary Holden - US Forest Service Region 1, Missoula MT Alan Swanson University of Montana Dept. of Geography David Affleck University of Montana

Zachary Holden - US Forest Service Region 1, Missoula MT Alan Swanson University of Montana Dept. of Geography David Affleck University of Montana Progress modeling topographic variation in temperature and moisture for inland Northwest forest management Zachary Holden - US Forest Service Region 1, Missoula MT Alan Swanson University of Montana Dept.

More information

8-km Historical Datasets for FPA

8-km Historical Datasets for FPA Program for Climate, Ecosystem and Fire Applications 8-km Historical Datasets for FPA Project Report John T. Abatzoglou Timothy J. Brown Division of Atmospheric Sciences. CEFA Report 09-04 June 2009 8-km

More information

SPC Fire Weather Forecast Criteria

SPC Fire Weather Forecast Criteria SPC Fire Weather Forecast Criteria Critical for temperature, wind, and relative humidity: - Sustained winds 20 mph or greater (15 mph Florida) - Minimum relative humidity at or below regional thresholds

More information

Quality Control of the National RAWS Database for FPA Timothy J Brown Beth L Hall

Quality Control of the National RAWS Database for FPA Timothy J Brown Beth L Hall Quality Control of the National RAWS Database for FPA Timothy J Brown Beth L Hall Desert Research Institute Program for Climate, Ecosystem and Fire Applications May 2005 Project Objectives Run coarse QC

More information

Predicting wildfire ignitions, escapes, and large fire activity using Predictive Service s 7-Day Fire Potential Outlook in the western USA

Predicting wildfire ignitions, escapes, and large fire activity using Predictive Service s 7-Day Fire Potential Outlook in the western USA http://dx.doi.org/10.14195/978-989-26-0884-6_135 Chapter 4 - Fire Risk Assessment and Climate Change Predicting wildfire ignitions, escapes, and large fire activity using Predictive Service s 7-Day Fire

More information

NWS Fire Weather Forecast, Wildland Fire Assessment Systems and OKMesonet Products Applications as Short Term Mitigation Tools for Emergency Response

NWS Fire Weather Forecast, Wildland Fire Assessment Systems and OKMesonet Products Applications as Short Term Mitigation Tools for Emergency Response NWS Fire Weather Forecast, Wildland Fire Assessment Systems and OKMesonet Products Applications as Short Term Mitigation Tools for Emergency Response Presentation for The Southern Climate Impacts Planning

More information

Extended-range Fire Weather Products within the Canadian Wildland Fire Information System

Extended-range Fire Weather Products within the Canadian Wildland Fire Information System Extended-range Fire Weather Products within the Canadian Wildland Fire Information System Kerry Anderson, Richard Carr, Peter Englefield, John Little, Rod Suddaby Canadian Forest Service Introduction Introduction

More information

Disseminating Fire Weather/Fire Danger Forecasts through a Web GIS. Andrew Wilson Riverside Fire Lab USDA Forest Service

Disseminating Fire Weather/Fire Danger Forecasts through a Web GIS. Andrew Wilson Riverside Fire Lab USDA Forest Service Disseminating Fire Weather/Fire Danger Forecasts through a Web GIS Andrew Wilson Riverside Fire Lab USDA Forest Service Hawaii Fire Danger System Supporters Hawaii Department of Forestry & Wildlife Pacific

More information

WORLD AREA FORECAST SYSTEM OPERATIONS GROUP (WAFSOPSG)

WORLD AREA FORECAST SYSTEM OPERATIONS GROUP (WAFSOPSG) International Civil Aviation Organization WAFSOPSG/7-WP/10 5/7/12 WORKING PAPER WORLD AREA FORECAST SYSTEM OPERATIONS GROUP (WAFSOPSG) SEVENTH MEETING Lima, Peru, 17 to 21 September 2012 Agenda Item 6:

More information

National Wildland Significant Fire Potential Outlook

National Wildland Significant Fire Potential Outlook National Wildland Significant Fire Potential Outlook National Interagency Fire Center Predictive Services Issued: September, 2007 Wildland Fire Outlook September through December 2007 Significant fire

More information

J. D. Carlson A,F, Larry S. Bradshaw B, Ralph M. Nelson Jr C, Randall R. Bensch D and Rafal Jabrzemski E

J. D. Carlson A,F, Larry S. Bradshaw B, Ralph M. Nelson Jr C, Randall R. Bensch D and Rafal Jabrzemski E CSIRO PUBLISHING International Journal of Wildland Fire, 2007, 16, 204 216 www.publish.csiro.au/journals/ijwf Application of the Nelson model to four timelag fuel classes using Oklahoma field observations:

More information

Fire danger. The skill provided by ECMWF ensemble prediction system. Francesca Di Giuseppe and Claudia Vitolo Forecast Department, ECMWF

Fire danger. The skill provided by ECMWF ensemble prediction system. Francesca Di Giuseppe and Claudia Vitolo Forecast Department, ECMWF Fire danger The skill provided by ECMWF ensemble prediction system Link to slides: https://goo.gl/qm15fk Francesca Di Giuseppe and Claudia Vitolo Forecast Department, ECMWF ECMWF August 2, 2016 Fire forecast

More information

P1.5 FIELD VERIFICATION OF THE NELSON DEAD FUEL MOISTURE MODEL AND COMPARISONS WITH NATIONAL FIRE DANGER RATING SYSTEM (NFDRS) PREDICTIONS

P1.5 FIELD VERIFICATION OF THE NELSON DEAD FUEL MOISTURE MODEL AND COMPARISONS WITH NATIONAL FIRE DANGER RATING SYSTEM (NFDRS) PREDICTIONS P1.5 FIELD VERIFICATION OF THE NELSON DEAD FUEL MOISTURE MODEL AND COMPARISONS WITH NATIONAL FIRE DANGER RATING SYSTEM (NFDRS) PREDICTIONS J. D. Carlson * Oklahoma State University, Stillwater, Oklahoma

More information

TEXAS FIREFIGHTER POCKET CARDS

TEXAS FIREFIGHTER POCKET CARDS TEXAS FIREFIGHTER POCKET CARDS UPDATED: FEBRUARY 2014 Table of Contents Guide to Percentiles and Thresholds... 1 Fire Business... 2 Predictive Service Area Map... 4 Firefighter Pocket Cards Central Texas...

More information

Page 1 of 6 SWCC MORNING INTELLIGENCE BRIEFING. June 1, Daily Summary

Page 1 of 6 SWCC MORNING INTELLIGENCE BRIEFING. June 1, Daily Summary SWCC MORNING INTELLIGENCE BRIEFING June 1, 2015 PDF Version Product Feedback Daily Summary SITUATION: With nine dispatch centers reporting, fire activity continues to be light throughout the Southwest

More information

2011 National Seasonal Assessment Workshop for the Eastern, Southern, & Southwest Geographic Areas

2011 National Seasonal Assessment Workshop for the Eastern, Southern, & Southwest Geographic Areas 2011 National Seasonal Assessment Workshop for the Eastern, Southern, & Southwest Geographic Areas On January 11-13, 2011, wildland fire, weather, and climate met virtually for the ninth annual National

More information

9.10 ROMAN- Realtime Observation Monitoring and Analysis Network

9.10 ROMAN- Realtime Observation Monitoring and Analysis Network 9.10 ROMAN- Realtime Observation Monitoring and Analysis Network John Horel 1 *, Mike Splitt 1, Judy Pechmann 1, Brian, Olsen 1, Edward Delgado 2 1 NOAA Cooperative Institute for Regional Prediction 2

More information

FOREST FIRE HAZARD MODEL DEFINITION FOR LOCAL LAND USE (TUSCANY REGION)

FOREST FIRE HAZARD MODEL DEFINITION FOR LOCAL LAND USE (TUSCANY REGION) FOREST FIRE HAZARD MODEL DEFINITION FOR LOCAL LAND USE (TUSCANY REGION) C. Conese 3, L. Bonora 1, M. Romani 1, E. Checcacci 1 and E. Tesi 2 1 National Research Council - Institute of Biometeorology (CNR-

More information

OPERATIONAL FDR IN SOUTH AFRICA LOWVELD FIRE DANGER RATING SYSTEM

OPERATIONAL FDR IN SOUTH AFRICA LOWVELD FIRE DANGER RATING SYSTEM Thank You OPERATIONAL FDR IN SOUTH AFRICA LOWVELD FIRE DANGER RATING SYSTEM Presented By: Chris de Bruno Austin 1 CONTENTS The FDR System Weather Station Weather Station Placement Thank You FDR and Fire

More information

HOW WELL DOES THE GROWING SEASON INDEX CORRESPOND TO THE START OF FIRE SEASON? San Antonio College, San Antonio, TX

HOW WELL DOES THE GROWING SEASON INDEX CORRESPOND TO THE START OF FIRE SEASON? San Antonio College, San Antonio, TX HOW WELL DOES THE GROWING SEASON INDEX CORRESPOND TO THE START OF FIRE SEASON? Matthew Anaya 1, Brian Potter 2* and Narasimhan Larkin 2 1 San Antonio College, San Antonio, TX 2 AirFire Team, USDA Forest

More information

Electric Program Investment Charge (EPIC)

Electric Program Investment Charge (EPIC) EPIC Final Report Program Electric Program Investment Charge (EPIC) Project EPIC 1.05 Demonstrate New Resource Forecast Methods to Better Predict Variable Resource Output Reference Name Department Project

More information

Fire danger: the predictive skill provided by ECMWF Integrated forecasting System (IFS)

Fire danger: the predictive skill provided by ECMWF Integrated forecasting System (IFS) Fire danger: the predictive skill provided by ECMWF Integrated forecasting System (IFS) Francesca Di Giuseppe and the fire group at ECMWF ECMWF, Reading, UK F.DiGiuseppe@ecmwf.int ECMWF April 21, 2017

More information

Multi-Sensor Precipitation Reanalysis

Multi-Sensor Precipitation Reanalysis Multi-Sensor Precipitation Reanalysis Brian R. Nelson, Dongsoo Kim, and John J. Bates NOAA National Climatic Data Center, Asheville, North Carolina D.J. Seo NOAA NWS Office of Hydrologic Development, Silver

More information

FINAL REPORT. FS Agreement Number: 03-JV (Phase Two) Cooperator Agreement Number: 2477

FINAL REPORT. FS Agreement Number: 03-JV (Phase Two) Cooperator Agreement Number: 2477 FINAL REPORT FS Agreement Number: 03-JV-11222046-077 (Phase Two) Cooperator Agreement Number: 2477 Evaluation of a New Dead Fuel Moisture Model in a Near-Real-Time Data Assimilation and Forecast Environment

More information

2008 California Fire Season Outlook

2008 California Fire Season Outlook 2008 California Fire Season Outlook For July through October 2008 (issued 6/25/08) 1 North Ops Concerns and Implications for Management NOPS currently in a worsening drought, due to the driest spring on

More information

Development of High Resolution Gridded Dew Point Data from Regional Networks

Development of High Resolution Gridded Dew Point Data from Regional Networks Development of High Resolution Gridded Dew Point Data from Regional Networks North Central Climate Science Center Open Science Conference May 20, 2015 Ruben Behnke Numerical Terradynamic Simulation Group

More information

Climate Variables for Energy: WP2

Climate Variables for Energy: WP2 Climate Variables for Energy: WP2 Phil Jones CRU, UEA, Norwich, UK Within ECEM, WP2 provides climate data for numerous variables to feed into WP3, where ESCIIs will be used to produce energy-relevant series

More information

MULTI-AGENCY COORDINATION SYSTEM PUBLICATION CALIFORNIA FIRE WEATHER PROGRAM RISK PREPAREDNESS GUIDE MACS 410-3

MULTI-AGENCY COORDINATION SYSTEM PUBLICATION CALIFORNIA FIRE WEATHER PROGRAM RISK PREPAREDNESS GUIDE MACS 410-3 MULTI-AGENCY COORDINATION SYSTEM PUBLICATION CALIFORNIA FIRE WEATHER PROGRAM RISK PREPAREDNESS GUIDE MACS 410-3 August 26, 2013 California Fire Weather Program Risk Preparedness Guide Table of Contents

More information

Using the environmental lapse rate (ELR) to forecast wildfire blow-ups

Using the environmental lapse rate (ELR) to forecast wildfire blow-ups Using the environmental lapse rate (ELR) to forecast wildfire blow-ups 2015 Project Update Greg Baxter Background Goal: To improve firefighter safety Objectives: Determine if the AIMMS sensor provides

More information

J. D. Carlson * Oklahoma State University, Stillwater, Oklahoma

J. D. Carlson * Oklahoma State University, Stillwater, Oklahoma 7.3 EVALUATION OF THE NELSON DEAD FUEL MOISTURE MODEL IN A FORECAST ENVIRONMENT J. D. Carlson * Oklahoma State University, Stillwater, Oklahoma Larry S. Bradshaw Rocky Mountain Research Station, USDA Forest

More information

QualiMET 2.0. The new Quality Control System of Deutscher Wetterdienst

QualiMET 2.0. The new Quality Control System of Deutscher Wetterdienst QualiMET 2.0 The new Quality Control System of Deutscher Wetterdienst Reinhard Spengler Deutscher Wetterdienst Department Observing Networks and Data Quality Assurance of Meteorological Data Michendorfer

More information

Texas Wildland Fire Season Outlook. for. Winter 2009

Texas Wildland Fire Season Outlook. for. Winter 2009 Texas Wildland Fire Season Outlook for Winter 2009 December 5, 2008 Contents Section Page Executive Summary 1 Introduction 2 Underlying Fuels Condition 4 Weather Outlook 8 Findings 10 Credits 11 Attachments

More information

Combining Deterministic and Probabilistic Methods to Produce Gridded Climatologies

Combining Deterministic and Probabilistic Methods to Produce Gridded Climatologies Combining Deterministic and Probabilistic Methods to Produce Gridded Climatologies Michael Squires Alan McNab National Climatic Data Center (NCDC - NOAA) Asheville, NC Abstract There are nearly 8,000 sites

More information

Urban Forest Effects-Dry Deposition (UFORE D) Model Enhancements. Satoshi Hirabayashi

Urban Forest Effects-Dry Deposition (UFORE D) Model Enhancements. Satoshi Hirabayashi Urban Forest Effects-Dry Deposition (UFORE D) Model Enhancements Satoshi Hirabayashi The Davey Institute, The Davey Tree Expert Company, Syracuse, New York 13210, USA Surface Weather Data NOAA Integrated

More information

Probabilistic Forecast Verification. Yuejian Zhu EMC/NCEP/NOAA

Probabilistic Forecast Verification. Yuejian Zhu EMC/NCEP/NOAA Probabilistic Forecast Verification Yuejian Zhu EMC/NCEP/NOAA Review NAEFS Products (FY07) (December 4 th 2007) Bias corrected NCEP/GFS forecast 4 times daily, every 6 hours, out to 180 hours Bias corrected

More information

Southern California Edison Wildfire Mitigation & Grid Resiliency

Southern California Edison Wildfire Mitigation & Grid Resiliency Southern California Edison Wildfire Mitigation & Grid Resiliency California State Legislative Conference Committee on Wildfire Preparedness and Response August 7, 2018 CALIFORNIA S WILDFIRE RISK Year-Round

More information

Forest Service Suppression Cost Forecasts and Simulation Forecast for Fiscal Year 2010 Spring Update

Forest Service Suppression Cost Forecasts and Simulation Forecast for Fiscal Year 2010 Spring Update Forest Service Suppression Cost Forecasts and Simulation Forecast for Fiscal Year 2010 Spring Update Jeffrey P. Prestemon, Southern Research Station, Forest Service Krista Gebert, Rocky Mountain Research

More information

Experimental MOS Precipitation Type Guidance from the ECMWF Model

Experimental MOS Precipitation Type Guidance from the ECMWF Model Experimental MOS Precipitation Type Guidance from the ECMWF Model Phillip E. Shafer David E. Rudack National Weather Service Meteorological Development Laboratory Silver Spring, MD Development Overview:

More information

USING GRIDDED MOS TECHNIQUES TO DERIVE SNOWFALL CLIMATOLOGIES

USING GRIDDED MOS TECHNIQUES TO DERIVE SNOWFALL CLIMATOLOGIES JP4.12 USING GRIDDED MOS TECHNIQUES TO DERIVE SNOWFALL CLIMATOLOGIES Michael N. Baker * and Kari L. Sheets Meteorological Development Laboratory Office of Science and Technology National Weather Service,

More information

P3.1 Development of MOS Thunderstorm and Severe Thunderstorm Forecast Equations with Multiple Data Sources

P3.1 Development of MOS Thunderstorm and Severe Thunderstorm Forecast Equations with Multiple Data Sources P3.1 Development of MOS Thunderstorm and Severe Thunderstorm Forecast Equations with Multiple Data Sources Kathryn K. Hughes * Meteorological Development Laboratory Office of Science and Technology National

More information

Hindcast Arabian Gulf

Hindcast Arabian Gulf Hindcast Arabian Gulf Image of isobars of atmospheric pressure and hindcast wind- and wave field over the Arabian Gulf during a storm in January 1993. Detailed wave studies are supported by nesting of

More information

The National Operational Hydrologic Remote Sensing Center Operational Snow Analysis

The National Operational Hydrologic Remote Sensing Center Operational Snow Analysis The National Operational Hydrologic Remote Sensing Center Operational Snow Analysis World Meteorological Organization Global Cryosphere Watch Snow-Watch Workshop Session 3: Snow Analysis Products Andrew

More information

Using Multivariate Adaptive Constructed Analogs (MACA) data product for climate projections

Using Multivariate Adaptive Constructed Analogs (MACA) data product for climate projections Using Multivariate Adaptive Constructed Analogs (MACA) data product for climate projections Maria Herrmann and Ray Najjar Chesapeake Hypoxia Analysis and Modeling Program (CHAMP) Conference Call 2017-04-21

More information

Adaptation of the Nelson Dead Fuel Moisture Model for Fire Behavior and Fire Danger Software Application

Adaptation of the Nelson Dead Fuel Moisture Model for Fire Behavior and Fire Danger Software Application Adaptation of the Nelson Dead Fuel Moisture Model for Fire Behavior and Fire Danger Software Application April 2005 Collin D. Bevins Systems for Environmental Management Page 1 0. Introduction This document

More information

Monitoring Extreme Weather Events. February 8, 2010

Monitoring Extreme Weather Events. February 8, 2010 Monitoring Extreme Weather Events February 8, 2010 Extensive network of over 800 stations across the Prairies Good coverage across entire agriculture production region Network of networks strategy includes

More information

WAFS_Word. 2. Menu. 2.1 Untitled Slide

WAFS_Word. 2. Menu. 2.1 Untitled Slide WAFS_Word 2. Menu 2.1 Untitled Slide Published by Articulate Storyline 1. Introduction 1.1 Introduction Notes: As you will probably be aware, the traditional significant weather forecasts, usually seen

More information

(Regional) Climate Model Validation

(Regional) Climate Model Validation (Regional) Climate Model Validation Francis W. Zwiers Canadian Centre for Climate Modelling and Analysis Atmospheric Environment Service Victoria, BC Outline - three questions What sophisticated validation

More information

The Tahoe Climate Information Management System (Tahoeclim)

The Tahoe Climate Information Management System (Tahoeclim) The Tahoe Climate Information Management System (Tahoeclim) Final Report August 2016 Kelly T. Redmond 1, Geoff Schladow 2 1 Desert Research Institute Reno, NV 2 Tahoe Environmental Research Center, UC

More information

PUBLIC SAFETY POWER SHUTOFF POLICIES AND PROCEDURES

PUBLIC SAFETY POWER SHUTOFF POLICIES AND PROCEDURES PACIFIC GAS AND ELECTRIC COMPANY PUBLIC SAFETY POWER SHUTOFF POLICIES AND PROCEDURES SEPTEMBER 2018 1 PACIFIC GAS AND ELECTRIC COMPANY PUBLIC SAFETY POWER SHUTOFF POLICIES AND PROCEDURES SEPTEMBER 2018

More information

Climate Analysis of the 2000 Fire Season

Climate Analysis of the 2000 Fire Season Program for Climate, Ecosystem and Fire Applications.......... Climate Analysis of the 2000 Fire Season Timothy J. Brown Beth L. Hall. Division of Atmospheric Sciences CEFA Report 01-02 August 2001 Climate

More information

Shootout 2017 Problem Statement

Shootout 2017 Problem Statement Shootout 2017 Problem Statement Understanding Wildfires 1 Background In the fall of 2016, a number of wildfires occurred in the southeastern United States. Spanning over 5 states and several weeks, more

More information

Weather in the Canadian Wildland Fire Information System

Weather in the Canadian Wildland Fire Information System Weather in the Canadian Wildland Fire Information System Forest Fires in Canada 35% are caused by lightning (higher proportion in west) 65% are caused by people 87% of the area burned is from lightning-caused

More information

July 5-6, 2010 Mytilene, Greece

July 5-6, 2010 Mytilene, Greece Web GIS platform for forest fire management Prof. Kostas Kalabokidis Principal Investigator Univ. of the Aegean, Dept. of Geography, Greece Prof. George Kallos Univ. of Athens, Dept. of Physics, Greece

More information

Climate Change Impacts in Alaska: the Weather Perspective

Climate Change Impacts in Alaska: the Weather Perspective Climate Change Impacts in Alaska: the Weather Perspective September 18, 2007 NOAA s National Weather Service, Alaska Region James Partain, Chief Environmental and Scientific Services Division NOAA NWS

More information

Application and verification of ECMWF products 2014

Application and verification of ECMWF products 2014 Application and verification of ECMWF products 2014 Israel Meteorological Service (IMS), 1. Summary of major highlights ECMWF deterministic runs are used to issue most of the operational forecasts at IMS.

More information

Remote Sensing and Sensor Networks:

Remote Sensing and Sensor Networks: SDG&E Meteorology Remote Sensing and Sensor Networks: Providing meteorological intelligence to support system operations Mike Espinoza Project Manager Steven Vanderburg Senior Meteorologist Brian D Agostino

More information

ClimateBC version history

ClimateBC version history ClimateBC version history ClimateBC v5.60 (August 31, 2018) Improvements Historical monthly data from the Climate Research Unit (CRU ts4.01) for the years 1999-2016 have been replaced by our newly developed

More information

J9.4 THE SOUTHWEST MONSOON AND THE RELATION TO FIRE OCCURRENCE

J9.4 THE SOUTHWEST MONSOON AND THE RELATION TO FIRE OCCURRENCE J9.4 THE SOUTHWEST MONSOON AND THE RELATION TO FIRE OCCURRENCE Charlene R. Mohrle, Beth L. Hall, and Timothy J. Brown* Desert Research Institute, Reno, Nevada 1. INTRODUCTION In southeastern Arizona, a

More information

Elements of the National Weather Service Fire Weather Forecast By Casey Sullivan, National Weather Service, Chicago

Elements of the National Weather Service Fire Weather Forecast By Casey Sullivan, National Weather Service, Chicago Elements of the National Weather Service Fire Weather Forecast By Casey Sullivan, National Weather Service, Chicago Today s Presentation Begins at 12 pm CST, 1 pm EST Please Take Our One Question Survey

More information

The CANSAC/BLUESKY Connection

The CANSAC/BLUESKY Connection The CANSAC/BLUESKY Connection Timothy Brown Desert Research Institute Program for Climate, Ecosystem and Fire Applications Reno, NV Partners USDA Forest Service Region 5 California Air Resources Board

More information

A Regional Database Tracking Fire Footprint Each Year within the South Atlantic Region: Current Database Description and Future Directions

A Regional Database Tracking Fire Footprint Each Year within the South Atlantic Region: Current Database Description and Future Directions A Regional Database Tracking Fire Footprint Each Year within the South Atlantic Region: Current Database Description and Future Directions Last Updated on September 30, 2018 Contributors: NatureServe,

More information

SuperPack North America

SuperPack North America SuperPack North America Speedwell SuperPack makes available an unprecedented range of quality historical weather data, and weather data feeds for a single annual fee. SuperPack dramatically simplifies

More information

Operational Hydrologic Ensemble Forecasting. Rob Hartman Hydrologist in Charge NWS / California-Nevada River Forecast Center

Operational Hydrologic Ensemble Forecasting. Rob Hartman Hydrologist in Charge NWS / California-Nevada River Forecast Center Operational Hydrologic Ensemble Forecasting Rob Hartman Hydrologist in Charge NWS / California-Nevada River Forecast Center Mission of NWS Hydrologic Services Program Provide river and flood forecasts

More information

Defining Normal Weather for Energy and Peak Normalization

Defining Normal Weather for Energy and Peak Normalization Itron White Paper Energy Forecasting Defining Normal Weather for Energy and Peak Normalization J. Stuart McMenamin, Ph.D Managing Director, Itron Forecasting 2008, Itron Inc. All rights reserved. 1 Introduction

More information

Developing a High-Resolution Texas Water and Climate Prediction Model

Developing a High-Resolution Texas Water and Climate Prediction Model Developing a High-Resolution Texas Water and Climate Prediction Model Zong-Liang Yang (512) 471-3824 liang@jsg.utexas.edu Water Forum II on Texas Drought and Beyond, Austin, Texas, 22-23 October, 2012

More information

STORM PREDICTION CENTER S FIRE WEATHER VERIFICATION

STORM PREDICTION CENTER S FIRE WEATHER VERIFICATION STORM PREDICTION CENTER S FIRE WEATHER VERIFICATION Richard J. Naden *, P.D. Bothwell, J.L. Peters NOAA/NWS/NCEP/SPC, Norman, OK 73069 1. INTRODUCTION The National Weather Service s (NWS) Storm Prediction

More information

National Wildland Significant Fire Potential Outlook

National Wildland Significant Fire Potential Outlook National Wildland Significant Fire Potential Outlook National Interagency Fire Center Predictive Services Issued: April 1, 2008 Next Issue: May 1, 2008 Wildland Fire Outlook April 2008 through July 2008

More information

NextGen Update. Cecilia Miner May, 2017

NextGen Update. Cecilia Miner May, 2017 NextGen Update Cecilia Miner May, 2017 Agenda What s changed? NextGen Background FAA NextGen Weather Architecture NextGen Weather Processor Aviation Weather Display Common Support Services - Weather NWS

More information

Atmospheric Fire Risk (Haines Index) in a Changed Climate

Atmospheric Fire Risk (Haines Index) in a Changed Climate University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln JFSP Research Project Reports U.S. Joint Fire Science Program 2007 Atmospheric Fire Risk (Haines Index) in a Changed Climate

More information

Initial Report. North Central Texas Initial Attack. Hildreth Road Dozer Accident. February 9, 2006

Initial Report. North Central Texas Initial Attack. Hildreth Road Dozer Accident. February 9, 2006 6.152 February 17, 2006 Initial Report North Central Texas Initial Attack Hildreth Road Dozer Accident February 9, 2006 This report is intended to inform interested parties, for a safety and training tool,

More information

Speedwell Weather. Topics: Setting up a weather desk (a shopping list)

Speedwell Weather. Topics: Setting up a weather desk (a shopping list) Speedwell Weather Topics: Setting up a weather desk (a shopping list) As Presented to the Weather Risk Management Association, Dusseldorf September 2011 RWE Trading Floor (Europe's largest energy trading

More information

INTRODUCTION HAZARDOUS CONVECTIVE WEATHER (HCW)

INTRODUCTION HAZARDOUS CONVECTIVE WEATHER (HCW) CLIMATE CHANGE AND HAZARDOUS CONVECTIVE WEATHER IN THE UNITED STATES: INSIGHT FROM HIGH-RESOLUTION DYNAMICAL DOWNSCALING GEWEX WORKSHOP Kimberly Hoogewind 1,2, Jeff Trapp 2, and Mike Baldwin 1 1 Purdue

More information

Seven Day Streamflow Forecasting

Seven Day Streamflow Forecasting Seven Day Streamflow Forecasting - An ensemble streamflow forecasting system for Australia Dr. Sophie Zhang Water Forecasting Service Bureau of Meteorology 02 May 2018, Delft-FEWS Users Days and Workshop

More information

Introduction to Weather Data Cleaning

Introduction to Weather Data Cleaning Introduction to Weather Data Cleaning Speedwell Weather Limited An Introduction Providing weather services since 1999 Largest private-sector database of world-wide historic weather data Major provider

More information

Using Temperature and Dew Point to Aid Forecasting Springtime Radiational Frost and/or Freezing Temperatures in the NWS La Crosse Service Area

Using Temperature and Dew Point to Aid Forecasting Springtime Radiational Frost and/or Freezing Temperatures in the NWS La Crosse Service Area Using Temperature and Dew Point to Aid Forecasting Springtime Radiational Frost and/or Freezing Temperatures in the NWS La Crosse Service Area WFO La Crosse Climatology Series #21 The formation of radiational

More information

Predicting Fire Season Severity in the Pacific Northwest

Predicting Fire Season Severity in the Pacific Northwest Predicting Fire Season Severity in the Pacific Northwest Paul Werth 1 Abstract Projections of fire season severity that integrate historical weather and fire information can be used by fire managers when

More information

#FireWeather. Historical Weather Data Clustering for Scenario-based Fire Simulation

#FireWeather. Historical Weather Data Clustering for Scenario-based Fire Simulation #FireWeather Historical Weather Data Clustering for Scenario-based Fire Simulation Alex Masarie, student, Colorado State University Dr Douglas Rideout, Dr Yu Wei, Colorado State University Dr Michael Bevers,

More information

Diagnosing the Climatology and Interannual Variability of North American Summer Climate with the Regional Atmospheric Modeling System (RAMS)

Diagnosing the Climatology and Interannual Variability of North American Summer Climate with the Regional Atmospheric Modeling System (RAMS) Diagnosing the Climatology and Interannual Variability of North American Summer Climate with the Regional Atmospheric Modeling System (RAMS) Christopher L. Castro and Roger A. Pielke, Sr. Department of

More information

Combining sensor and forecast information to aid decision making: real-time determination of hydrological peat fire risk in Kalimantan

Combining sensor and forecast information to aid decision making: real-time determination of hydrological peat fire risk in Kalimantan Combining sensor and forecast information to aid decision making: real-time determination of hydrological peat fire risk in Kalimantan Jaap Schellekens Based on work by: Aljosja Hooijer, Ronald Vernimmen,

More information

Tokyo Climate Center Website (TCC website) and its products -For monitoring the world climate and ocean-

Tokyo Climate Center Website (TCC website) and its products -For monitoring the world climate and ocean- Tokyo, 14 November 2016, TCC Training Seminar Tokyo Climate Center Website (TCC website) and its products -For monitoring the world climate and ocean- Yasushi MOCHIZUKI Tokyo Climate Center Japan Meteorological

More information

Importance of Numerical Weather Prediction in Variable Renewable Energy Forecast

Importance of Numerical Weather Prediction in Variable Renewable Energy Forecast Importance of Numerical Weather Prediction in Variable Renewable Energy Forecast Dr. Abhijit Basu (Integrated Research & Action for Development) Arideep Halder (Thinkthrough Consulting Pvt. Ltd.) September

More information

Speedwell Weather System. SWS Version 11 What s New?

Speedwell Weather System. SWS Version 11 What s New? Speedwell Weather System The Open Weather Derivative Pricing and Risk Management System SWS Version 11 What s New? SWS Version 11 has been released. We are pleased to announce the following important new

More information

Wildland fire probabilities estimated from weather model-deduced monthly mean fire danger indices

Wildland fire probabilities estimated from weather model-deduced monthly mean fire danger indices CSIRO PUBLISHING www.publish.csiro.au/journals/ijwf International Journal of Wildland Fire 2008, 17, 305 316 Wildland fire probabilities estimated from weather model-deduced monthly mean fire danger indices

More information

Planned Burn (PB)-Piedmont online version user guide. Climate, Ecosystem and Fire Applications (CEFA) Desert Research Institute (DRI) June 2017

Planned Burn (PB)-Piedmont online version user guide. Climate, Ecosystem and Fire Applications (CEFA) Desert Research Institute (DRI) June 2017 Planned Burn (PB)-Piedmont online version user guide Climate, Ecosystem and Fire Applications (CEFA) Desert Research Institute (DRI) June 2017 The Planned Burn (PB)-Piedmont model (Achtemeier 2005) is

More information

Advance signals that can be used to foresee demand response days PJM SODRTF - March 9, 2018

Advance signals that can be used to foresee demand response days PJM SODRTF - March 9, 2018 Advance signals that can be used to foresee demand response days PJM SODRTF - March 9, 2018 1 OVERVIEW BGE s load response programs are split between two programs Peak Rewards and Smart Energy Rewards

More information

Regional Flash Flood Guidance and Early Warning System

Regional Flash Flood Guidance and Early Warning System WMO Training for Trainers Workshop on Integrated approach to flash flood and flood risk management 24-28 October 2010 Kathmandu, Nepal Regional Flash Flood Guidance and Early Warning System Dr. W. E. Grabs

More information

Proceedings, International Snow Science Workshop, Innsbruck, Austria, 2018

Proceedings, International Snow Science Workshop, Innsbruck, Austria, 2018 RELEASE OF AVALANCHES ON PERSISTENT WEAK LAYERS IN RELATION TO LOADING EVENTS IN COLORADO, USA Jason Konigsberg 1, Spencer Logan 1, and Ethan Greene 1 1 Colorado Avalanche Information Center, Boulder,

More information

The Evolution of NWI Mapping and How It Has Changed Since Inception

The Evolution of NWI Mapping and How It Has Changed Since Inception The Evolution of NWI Mapping and How It Has Changed Since Inception Some Basic NWI Facts: Established in 1974 Goal to create database on characteristics and extent of U.S. wetlands Maps & Statistics In

More information

Exploring ensemble forecast calibration issues using reforecast data sets

Exploring ensemble forecast calibration issues using reforecast data sets NOAA Earth System Research Laboratory Exploring ensemble forecast calibration issues using reforecast data sets Tom Hamill and Jeff Whitaker NOAA Earth System Research Lab, Boulder, CO tom.hamill@noaa.gov

More information

A Community Gridded Atmospheric Forecast System for Calibrated Solar Irradiance

A Community Gridded Atmospheric Forecast System for Calibrated Solar Irradiance A Community Gridded Atmospheric Forecast System for Calibrated Solar Irradiance David John Gagne 1,2 Sue E. Haupt 1,3 Seth Linden 1 Gerry Wiener 1 1. NCAR RAL 2. University of Oklahoma 3. Penn State University

More information

John R. Mecikalski #1, Martha C. Anderson*, Ryan D. Torn #, John M. Norman*, George R. Diak #

John R. Mecikalski #1, Martha C. Anderson*, Ryan D. Torn #, John M. Norman*, George R. Diak # P4.22 THE ATMOSPHERE-LAND EXCHANGE INVERSE (ALEXI) MODEL: REGIONAL- SCALE FLUX VALIDATIONS, CLIMATOLOGIES AND AVAILABLE SOIL WATER DERIVED FROM REMOTE SENSING INPUTS John R. Mecikalski #1, Martha C. Anderson*,

More information

Advances in Statistical Downscaling of Meteorological Data:

Advances in Statistical Downscaling of Meteorological Data: Advances in Statistical Downscaling of Meteorological Data: Development, Validation and Applications John Abatzoglou University of Idaho Department t of Geography EPSCoR Western Tri-State Consortium 7

More information