Output Module (last updated 8/27/2015)

Size: px
Start display at page:

Download "Output Module (last updated 8/27/2015)"

Transcription

1 Output Module (last updated 8/27/2015) Goals: Provide a common output format and content from all modeling groups for Tier 2 files. Provide a data file that is compatible with the GFDL Vortex Tracker program and contains sufficient information to fully evaluate the various models. Data Requirements: Gridded model data must be on a non-staggered, uniform-spaced, latitudelongitude grid, with specified fields and levels, in a GRIB1 file. Each modeling group will be responsible for developing the front-end portion of the postprocessing routine necessary to produce the specified output fields on a nonstaggered, uniform-spaced, latitude-longitude grid for the specified levels. The Output Module provides the code that collects fields and grid information and writes a GRIB1file in the correct format for evaluation. Overview: The Output Module is a set of Fortran routines that produces a GRIB1 file. The input to this module is the specified meteorological fields on a non-staggered, uniform-spaced, latitude-longitude grid (see Table A). the latitude-longitude grid definition parameters (see Table B). The data file specifications are defined in Table C. Compile/Run Instructions: Code needed for generating the necessary output files is provided in a tar file via attachment (OutputModule.tar.gz). First unzip and untar this file - tar xvf OutputModule_v2.2.tar.gz This tar file has the following contents: makefile: use to compile and link the Output Module code to the GRIB1 library, with a command-line option to select either linux or ibm w3lib directory: code for building the GRIB1 library OutputModule directory o makefile o DRIVER.f : a template/sample driver routine which calls gribbing routines o *.f : additional routines to prepare the data for gribbing o *.comm and *.tbl : common blocks and tables to prepare the data for gribbing o fort.14: namelist that determines GRIB1 fields to output 1

2 To implement the code, the first step is to edit DRIVER.f and insert your customized code to: Loop over all forecast times at 6-h intervals. o Read in the model dataset. o If necessary, de-stagger and interpolate required data fields to a uniform-spaced, latitude-longitude grid and appropriate vertical levels. o Order the arrays from West to East (first index) and North to South (second index). o Assign data fields to the arrays required by the Output Module, including vorticity if available (see Table A). If vorticity is not available, fill the vorticity arrays with (signifies missing data). Accumulated precipitation at the initial time should be filled with (signifies missing data). o Define grid and date parameters, including date/time/forecast/model_id in common data elements required by the Output Module (see Table B). o Call routines READCNTRL and PROCESS to pack/write the GRIB file (will append to existing/open file). Close the output file Once DRIVER.f has been customized, compile and link using the makefile in top-level directory: make linux <or> make ibm o supplied makefiles assume PGI compilers for linux and xlf compilers for IBM if you have different compilers, you will need to edit the toplevel makefile. It is not necessary to manually change the makefile in the w3lib or OutputModule subdirectories. Information for running driver.exe: Environment variables used: none. Run-time parameters/files needed: o Input: fort.14: a parameter file containing GRIB field codes. Do not modify this file! o Output: fort.70 will be opened and appended with each time-step. After the run, fort.70 should be renamed using the requested file naming convention, listed below. Optionally, you may open unit=70 in the Fortran code with the appropriate filename. 2

3 File naming convention: Global <mdl>_<h,d><vvvv>_<yyyymmddhh>.grb Regional <mdl>_<h,d><vvvv>_<yyyymmddhh>_<basin><cyclone number><yyyy>.grb where, <mdl> = assigned model ATCF ID <h,d> = use h to designate historical or retrospective forecasts and d for demo or quasi-real-time forecasts <vvvv> = use this 4-letter identifier to indicate the version of your model used to generate the forecast. This identifier can be as simple as the year in which you generated the forecast or a more sophisticated identifier that is directly connected to your group s method for tracking model versions. Please provide information on how to translate this identifier. <yyyymmddhh> = date/time of forecast initialization. <basin> = ocean basin abbreviation corresponding to location of the storm al = North Atlantic basin, north of the Equator sl = South Atlantic basin, south of the Equator ep = North East Pacific basin, eastward of 140 W cp = North Central Pacific basin, between the dateline and 140 W wp = North West Pacific basin, westward of the dateline io = North Indian Ocean basin, north of the Equator, between 40 E and 100 E sh = South Pacific Ocean basin and South Indian Ocean basin <cyclone number> = 01 49, training/test, invests <YYYY> = year portion of the full ATCF id for the storm year of the hurricane (e.g., 2010) Files should be deposited on either the jet (NOAA/GSD) or bluefire (NCAR). You will need an account on one of these systems; please contact the following data manager if you need assistance in setting up an account: Christopher Williams cwill@ucar.edu

4 Delivery to jet (preferred): Jet is the preferred system for data delivery to TCMT. If you need to open an account on this system, download the application form from Fax the completed application to , attention Lee Cohen and ask to be added to the tcmt project group. Once your user ID has been enabled and you are a member of the tcmt group, you will need to transfer secure ssh keys that you generate on the system currently holding your Tier 2 data files to jetscp, a file-transfer frontend system for jet. To generate your secure ssh keys perform the following on the system currently holding your Tier 2 data files: a) on your chosen host (where your Tier 2 data currently resides): ssh-keygen -t dsa cat ~/.ssh/*dsa* b) copy & paste the output of cat into an and send it to hpcshelp.fsl@noaa.gov, requesting installation into jetscp Once the key installation is complete you can scp files to a location under the tcmt project directory specified by your TCMT data manager via jetscp by executing (locally) a command similar to: scp some_file jetscp.rdhpcs.noaa.gov:/lfs2/projects/tcmt/<h,d><yyyy> where, <h,d> = use h to designate historical or retrospective forecasts and d for demo or quasi-real-time forecasts <yyyy> = year of project Delivery to bluefire: Please deposit the files in a directory of your choosing. Once the files are on bluefire, please inform your data manager of the path to the directory where the data is located. 4

5 Table A: Meteorological fields to be included in Tier 2 data files, as well as the corresponding array name for this field in the Output Module Meteorological Field (units) Level Output array name Sea Surface Temperature (K) Surface SST Mean Sea Level Pressure (Pa) Surface PSFC 6-h accumulated precipitation Surface ACPREC (mm) Vertically integrated water Surface VW condensate (kg m -2 ) Total precipitable water (mm) Surface PW U component of the wind (m s -1 ) 10-m AGL U10 U component of the wind (m s -1 ) 850 hpa U(*,*,1) U component of the wind (m s -1 ) 700 hpa U(*,*,2) U component of the wind (m s -1 ) 500 hpa U(*,*,3) U component of the wind (m s -1 ) 300 hpa U(*,*,4) U component of the wind (m s -1 ) 200 hpa U(*,*,5) V component of the wind (m s -1 ) 10-m AGL V10 V component of the wind (m s -1 ) 850 hpa V(*,*,1) V component of the wind (m s -1 ) 700 hpa V(*,*,2) V component of the wind (m s -1 ) 500 hpa V(*,*,3) V component of the wind (m s -1 ) 300 hpa V(*,*,4) V component of the wind (m s -1 ) 200 hpa V(*,*,5) Temperature (K) 2-m AGL TSFC Temperature (K) 850 hpa T(*,*,1) Temperature (K) 700 hpa T(*,*,2) Temperature (K) 500 hpa T(*,*,3) Temperature (K) 300 hpa T(*,*,4) Temperature (K) 200 hpa T(*,*,5) Relative Humidity (%) 2-m AGL RHSFC Relative Humidity (%) 850 hpa RH(*,*,1) Relative Humidity (%) 700 hpa RH(*,*,2) Relative Humidity (%) 500 hpa RH(*,*,3) Relative Humidity (%) 300 hpa RH(*,*,4) Relative Humidity (%) 200 hpa RH(*,*,5) Geopotential Height (m) 850 hpa Z(*,*,1) Geopotential Height (m) 700 hpa Z(*,*,2) Geopotential Height (m) 500 hpa Z(*,*,3) Geopotential Height (m) 300 hpa Z(*,*,4) Geopotential Height (m) 200 hpa Z(*,*,5) Absolute Vorticity (s -1 ) 850 hpa AVORT (*,*,1) Absolute Vorticity (s -1 ) 700 hpa AVORT (*,*,2) 5

6 Table B: List of grid and date parameters to include in Tier 2 data files. Grid Parameter Variable LATSTART Northernmost latitude (range -90 to +90 ) LONSTART Westernmost longitude (range -180 to +180 ) LATLAST Southernmost latitude (range -90 to +90 ) LONLAST Easternmost longitude (range -180 to +180 ) DXVAL West-east grid spacing ( ) DYVAL North-south grid spacing ( ) SDAT(1) Month of model initialization SDAT(2) Day of model initialization SDAT(3) Year of model initialization (4 digits) IHRST Hour of model initialization (UTC) IMIN Minute of model initialization IFHR Forecast hour IFMIN Forecast minute IMDLTY Assigned model ATCF ID 6

7 Table C: Tier 2 data file specifications Format GRIB1 You may use the HFIP Output Module to convert your files to GRIB1 format. Projection Temporal resolution Forecast length Unstaggered, uniform-spacing, latitude-longitude 6 h Global 7 days Regional 5 days Spatial Resolution Global: 0.50 Regional: 0.10 Domain Global: global domain Regional: 20 x 20 deg domain centered on the storm. Models run on nested grids smaller than 20 x 20 are requested to send a single 20 x20 grid created by blending data from the appropriate nested domains. Data delivery Modeling groups will only provide gridded data files for forecasts for which a storm is present. Please deposit on either bluefire or the jet system. 7

WRF Modeling System Overview

WRF Modeling System Overview WRF Modeling System Overview Jimy Dudhia What is WRF? WRF: Weather Research and Forecasting Model Used for both research and operational forecasting It is a supported community model, i.e. a free and shared

More information

CSU RAMS. Standard Input Formats for Pressure Coordinate and Observational Data (Data Prep Stage)

CSU RAMS. Standard Input Formats for Pressure Coordinate and Observational Data (Data Prep Stage) CSU RAMS Standard Input Formats for Pressure Coordinate and Observational Data (Data Prep Stage) This document contains detailed notes on how gridded pressure level datasets (such as NCEP-reanalysis, GFS

More information

NCEP s UNIFIED POST PROCESSOR (UPP) 2018 HWRF Tutorial

NCEP s UNIFIED POST PROCESSOR (UPP) 2018 HWRF Tutorial NCEP s UNIFIED POST PROCESSOR (UPP) Hui-Ya Chuang NOAA/NCEP/EMC 2018 HWRF Tutorial 1 Outline Overview Components and Functions Sample fields generated Running unipost Controlling output generation Running

More information

Use of the GFDL Vortex Tracker

Use of the GFDL Vortex Tracker Use of the GFDL Vortex Tracker Tim Marchok NOAA / Geophysical Fluid Dynamics Laboratory WRF Tutorial for Hurricanes January 24, 2018 Outline History & description of the GFDL vortex tracker Inputs & Outputs

More information

User's Guide for the NMM Core of the Weather Research and Forecast (WRF) Modeling System Version 3. Chapter 4: WRF-NMM Initialization

User's Guide for the NMM Core of the Weather Research and Forecast (WRF) Modeling System Version 3. Chapter 4: WRF-NMM Initialization User's Guide for the NMM Core of the Weather Research and Forecast (WRF) Modeling System Version 3 Table of Contents Chapter 4: WRF-NMM Initialization Introduction Initialization for Real Data Cases Running

More information

WRF Modeling System Overview

WRF Modeling System Overview WRF Modeling System Overview Jimy Dudhia What is WRF? WRF: Weather Research and Forecasting Model Used for both research and operational forecasting It is a supported community model, i.e. a free and shared

More information

Scientific Documentation for the Community release of the GFDL Vortex Tracker

Scientific Documentation for the Community release of the GFDL Vortex Tracker Scientific Documentation for the Community release of the GFDL Vortex Tracker May 2016 Version 3.7b The Developmental Testbed Center Timothy Marchok NOAA/GFDL Please send questions to: hwrf-help@ucar.edu

More information

WRF Modeling System Overview

WRF Modeling System Overview WRF Modeling System Overview Wei Wang & Jimy Dudhia Nansha, Guangdong, China December 2015 What is WRF? WRF: Weather Research and Forecasting Model Used for both research and operational forecasting It

More information

Hui-Ya Chuang. Presented by Matthew Pyle

Hui-Ya Chuang. Presented by Matthew Pyle Hui-Ya Chuang (Hui-Ya.Chuang@noaa.gov) Presented by Matthew Pyle (Matthew.Pyle@noaa.gov) Overview Components and Functions Sample fields generated Installation Running unipost Controlling output generation

More information

GFDL Hurricane Model Ensemble Performance During the 2012 Hurricane Season

GFDL Hurricane Model Ensemble Performance During the 2012 Hurricane Season GFDL Hurricane Model Ensemble Performance During the 2012 Hurricane Season Tim Marchok (NOAA / GFDL) Matt Morin (DRC HPTG / GFDL) Morris Bender (NOAA / GFDL) HFIP Team Telecon 12 December 2012 Acknowledgments:

More information

DSJRA-55 Product Users Handbook. Climate Prediction Division Global Environment and Marine Department Japan Meteorological Agency July 2017

DSJRA-55 Product Users Handbook. Climate Prediction Division Global Environment and Marine Department Japan Meteorological Agency July 2017 DSJRA-55 Product Users Handbook Climate Prediction Division Global Environment and Marine Department Japan Meteorological Agency July 2017 Change record Version Date Remarks 1.0 13 July 2017 First version

More information

GSI Radar Data Interface for DTC community GSI release version 3.2

GSI Radar Data Interface for DTC community GSI release version 3.2 GSI Radar Data Interface for DTC community GSI release version 3.2 1. Introduction This note is to help users to generate their own radar radial velocity and reflectivity BUFR files that can be used by

More information

Predicting Tropical Cyclone Formation and Structure Change

Predicting Tropical Cyclone Formation and Structure Change Predicting Tropical Cyclone Formation and Structure Change Patrick A. Harr Department of Meteorology Naval Postgraduate School Monterey, CA 93943-5114 phone: (831)656-3787 fax: (831)656-3061 email: paharr@nps.navy.mil

More information

WRF Modeling System Overview

WRF Modeling System Overview WRF Modeling System Overview Louisa Nance National Center for Atmospheric Research (NCAR) Developmental Testbed Center (DTC) 27 February 2007 1 Outline What is WRF? WRF Modeling System WRF Software Design

More information

NCEP s WRF POST PROCESSOR. Hui-Ya Chuang

NCEP s WRF POST PROCESSOR. Hui-Ya Chuang NCEP s WRF POST PROCESSOR Hui-Ya Chuang Outline Overview Sample fields generated by WRF post package Derivation of commonly used fields Break Installation Controlling what to output Visualization Introduction

More information

Predicting Tropical Cyclone Formation and Structure Change

Predicting Tropical Cyclone Formation and Structure Change Predicting Tropical Cyclone Formation and Structure Change Patrick A. Harr Department of Meteorology Naval Postgraduate School Monterey, CA 93943-5114 Telephone: (831)656-3787 FAX:(831)656-3061 email:

More information

Richard M. Yablonsky University of Rhode Island. WRF for Hurricanes Tutorial Boulder, CO 25 February 2010

Richard M. Yablonsky University of Rhode Island. WRF for Hurricanes Tutorial Boulder, CO 25 February 2010 Richard M. Yablonsky University of Rhode Island WRF for Hurricanes Tutorial Boulder, CO 25 February 2010 1 What is the Princeton Ocean Model? Three dimensional, primitive equation, numerical ocean model

More information

WRF Modeling System Overview

WRF Modeling System Overview WRF Modeling System Overview Jimy Dudhia What is WRF? WRF: Weather Research and Forecasting Model Used for both research and operational forecasting It is a supported community model, i.e. a free and shared

More information

GEOS Chem v7 Adjoint User's Guide

GEOS Chem v7 Adjoint User's Guide GEOS Chem v7 Adjoint User's Guide An adjoint model for GEOS-Chem to perform 4D-Var Data Assimilation and Sensitivity Analysis Kumaresh Singh, Adrian Sandu & Paul Eller Department of Computer Science Virginia

More information

National Climatic Data Center DATA DOCUMENTATION FOR DATA SET 6406 (DSI-6406) ASOS SURFACE 1-MINUTE, PAGE 2 DATA. July 12, 2006

National Climatic Data Center DATA DOCUMENTATION FOR DATA SET 6406 (DSI-6406) ASOS SURFACE 1-MINUTE, PAGE 2 DATA. July 12, 2006 DATA DOCUMENTATION FOR DATA SET 6406 (DSI-6406) ASOS SURFACE 1-MINUTE, PAGE 2 DATA July 12, 2006 151 Patton Ave. Asheville, NC 28801-5001 USA Table of Contents Topic Page Number 1. Abstract... 3 2. Element

More information

A description of these quick prepbufrobs_assim text files is given below.

A description of these quick prepbufrobs_assim text files is given below. The 20 th Century Reanalysis (20CR) Project Ensemble Filter data assimilation system produces ASCII text files containing the surface and sea level pressure observations used in the assimilation, essential

More information

User Guide for the MATCH stand alone Module of RODOS-PV 5.0

User Guide for the MATCH stand alone Module of RODOS-PV 5.0 User Guide for the MATCH stand alone Module of RODOS-PV 5.0 Lennart Robertson USER GUIDE FOR THE MATCH STAND ALONE MODULE OF RODOS-PV 5.0 1 1 Overview 2 1.1 Resource files 3 1.2 File input and output 3

More information

GRIB API A database driven decoding library

GRIB API A database driven decoding library GRIB API A database driven decoding library Enrico Fucile, Cristian Codorean Data & Services ECMWF Slide 1 Slide 1 Overview Introduction GRIB code GRIB API keys database Parameters database Slide 2 Slide

More information

Assignment #5: Cumulus Parameterization Sensitivity Due: 14 November 2017

Assignment #5: Cumulus Parameterization Sensitivity Due: 14 November 2017 Assignment #5: Cumulus Parameterization Sensitivity Due: 14 November 2017 Objectives In this assignment, we use the WRF-ARW model to run two nearly-identical simulations in which only the cumulus parameterization

More information

Careful, Cyclones Can Blow You Away!

Careful, Cyclones Can Blow You Away! Title: Careful, Cyclones Can Blow You Away! (Meteorology) Grade(s): 6-8 Introduction: Most people associate twisters with tornadoes, but in fact tropical twisters come from hurricanes. Hurricanes are what

More information

A Reformulation of the Logistic Growth Equation Model (LGEM) for Ensemble and Extended Range Intensity Prediction

A Reformulation of the Logistic Growth Equation Model (LGEM) for Ensemble and Extended Range Intensity Prediction A Reformulation of the Logistic Growth Equation Model (LGEM) for Ensemble and Extended Range Intensity Prediction Mark DeMaria NOAA/NESDIS, Fort Collins, CO Andrea Schumacher and Kate Musgrave CIRA/CSU,

More information

USACE-ERDC Coastal Storm Modeling System Updates Chris Massey, PhD

USACE-ERDC Coastal Storm Modeling System Updates Chris Massey, PhD USACE-ERDC Coastal Storm Modeling System Updates Chris Massey, PhD Research Mathematician USACE-ERDC Coastal & Hydraulics Lab Chris.Massey@usace.army.mil ERDC s Coastal Storm-Modeling System (ERDC CSTORM-MS)

More information

Tropical cyclone simulations and predictions with GFDL s prototype global cloud resolving model

Tropical cyclone simulations and predictions with GFDL s prototype global cloud resolving model Tropical cyclone simulations and predictions with GFDL s prototype global cloud resolving model S.-J. Lin and GFDL model development teams NOAA/Geophysical Fluid Dynamics Laboratory Workshop on High-Resolution

More information

Experiments of clustering for central European area specially in extreme weather situations. István Ihász. Hungarian Meteorological Service

Experiments of clustering for central European area specially in extreme weather situations. István Ihász. Hungarian Meteorological Service Experiments of clustering for central European area specially in extreme weather situations István Ihász Hungarian Meteorological Service 1 1. ECMWF clustering 2. Clustering for central European area Forecasters

More information

ECMWF Medium-Range Forecast Graphical Products

ECMWF Medium-Range Forecast Graphical Products ECMWF Medium-Range Forecast Graphical Products Analysis Snow cover, ice cover, albedo, leaf area index, orography and sea depth Albedo Europe, Global, Central Europe, North West Europe, North East Europe,

More information

The Information System in ECDIS

The Information System in ECDIS The Information System in ECDIS Bjørn Åge Hjøllo Product Manager Weather/Routing/Piracy Jeppesen, Norway Nordic Institute of Navigation (NNF); Seminar on enavigation Bergen, May 2011 19 May 2011-1 - enavigation

More information

Motivation & Goal. We investigate a way to generate PDFs from a single deterministic run

Motivation & Goal. We investigate a way to generate PDFs from a single deterministic run Motivation & Goal Numerical weather prediction is limited by errors in initial conditions, model imperfections, and nonlinearity. Ensembles of an NWP model provide forecast probability density functions

More information

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 4-17, 2015

COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 4-17, 2015 COLORADO STATE UNIVERSITY FORECAST OF ATLANTIC HURRICANE ACTIVITY FROM AUGUST 4-17, 2015 We expect that the next two weeks will be characterized by below-average amounts (

More information

Application and verification of ECMWF products 2018

Application and verification of ECMWF products 2018 Application and verification of ECMWF products 2018 National Meteorological Administration, Romania 1. Summary of major highlights In the field of numerical model verification, the daily GRID_STAT method

More information

WMO LC-LRFMME Website User Manual

WMO LC-LRFMME Website User Manual WMO LC-LRFMME Website User Manual World Meteorological Organization Lead Centre for Long-Range Forecast Multi-Model Ensemble Last update: August 2016 Contents 1. WMO LC-LRFMME Introduction... 1 1.1. Overview

More information

Overview of the Tropical Cyclone Guidance Project

Overview of the Tropical Cyclone Guidance Project Overview of the Tropical Cyclone Guidance Project Dr. Jonathan L. Vigh With thanks to Mahsa Mirzargar (Univ. of Miami) Shanghai Typhoon Institute 09 July 2018 NCAR is sponsored by the National Science

More information

HWRF Ocean: MPIPOM-TC

HWRF Ocean: MPIPOM-TC HWRF v3.7a Tutorial Nanjing, China, December 2, 2015 HWRF Ocean: MPIPOM-TC Ligia Bernardet NOAA SRL Global Systems Division, Boulder CO University of Colorado CIRS, Boulder CO Acknowledgement Richard Yablonsky

More information

Initialization of Tropical Cyclone Structure for Operational Application

Initialization of Tropical Cyclone Structure for Operational Application DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. Initialization of Tropical Cyclone Structure for Operational Application PI: Tim Li IPRC/SOEST, University of Hawaii at

More information

IBTrACS: International Best Track Archive for Climate Stewardship. Put your title here too

IBTrACS: International Best Track Archive for Climate Stewardship. Put your title here too IBTrACS: International Best Track Archive for Climate Stewardship Put your title here too 1 The IBTrACS Players Ken Knapp, Paula Hennon, Michael Kruk, Howard Diamond, Ethan Gibney, Carl Schreck NOAA s

More information

User Guide for the MATCH stand alone Module of RODOS-PV 6.0

User Guide for the MATCH stand alone Module of RODOS-PV 6.0 User Guide for the MATCH stand alone Module of RODOS-PV 6.0 Lennart Robertson USER GUIDE FOR THE MATCH STAND ALONE MODULE OF RODOS-PV 6.0 1 1 Overview 3 1.1 Resource files 4 1.2 File input and output 4

More information

WRF Pre-Processing (WPS)

WRF Pre-Processing (WPS) NCAR Earth System Laboratory National Center for Atmospheric Research NCAR is Sponsored by NSF and this work is partially supported by the Willis Research Network and the Research Partnership to Secure

More information

NOTES AND CORRESPONDENCE. Statistical Postprocessing of NOGAPS Tropical Cyclone Track Forecasts

NOTES AND CORRESPONDENCE. Statistical Postprocessing of NOGAPS Tropical Cyclone Track Forecasts 1912 MONTHLY WEATHER REVIEW VOLUME 127 NOTES AND CORRESPONDENCE Statistical Postprocessing of NOGAPS Tropical Cyclone Track Forecasts RUSSELL L. ELSBERRY, MARK A. BOOTHE, GREG A. ULSES, AND PATRICK A.

More information

Ensemble TC Track/Genesis Products in

Ensemble TC Track/Genesis Products in Ensemble TC Track/Genesis Products in Parallel @NCO Resolution Members Daily Frequency Forecast Length NCEP ensemble (AEMN-para) GFS T574L64-33km(12/02/15) 20+1_CTL 00, 06, 12, 18 UTC 16 days (384hrs)

More information

Moisture transport to Syowa Station and Dome Fuji Station, Antarctica

Moisture transport to Syowa Station and Dome Fuji Station, Antarctica Session 5: Science Using Ground-Based and Satellite Measurements Moisture transport to Syowa Station and Dome Fuji Station, Antarctica Kazue Suzuki, Takashi Yamanouchi, Naohiko Hirasawa and Hideaki Motoyama

More information

ATMOSPHERIC MODELLING. GEOG/ENST 3331 Lecture 9 Ahrens: Chapter 13; A&B: Chapters 12 and 13

ATMOSPHERIC MODELLING. GEOG/ENST 3331 Lecture 9 Ahrens: Chapter 13; A&B: Chapters 12 and 13 ATMOSPHERIC MODELLING GEOG/ENST 3331 Lecture 9 Ahrens: Chapter 13; A&B: Chapters 12 and 13 Agenda for February 3 Assignment 3: Due on Friday Lecture Outline Numerical modelling Long-range forecasts Oscillations

More information

Weather observations from Tórshavn, The Faroe Islands

Weather observations from Tórshavn, The Faroe Islands Weather observations from Tórshavn, The Faroe Islands 1953-2014 - Observation data with description John Cappelen Copenhagen 2015 http://www.dmi.dk/fileadmin/rapporter/tr/tr15-09 page 1 of 14 Colophon

More information

Advancements in Operations and Research on Hurricane Modeling and Ensemble Prediction System at EMC/NOAA

Advancements in Operations and Research on Hurricane Modeling and Ensemble Prediction System at EMC/NOAA Advancements in Operations and Research on Hurricane Modeling and Ensemble Prediction System at EMC/NOAA Zhan Zhang and Vijay Tallapragada EMC/NCEP/NOAA/DOC Acknowledgements: HWRF Team Members at EMC,

More information

Centralized Forecasting Registration and Communication Requirements for Distribution Connected Variable Generators. IESO Training

Centralized Forecasting Registration and Communication Requirements for Distribution Connected Variable Generators. IESO Training Centralized Forecasting Registration and Communication Requirements for Distribution Connected Variable Generators IESO Training May 2017 Centralized Forecasting - Registration and Communication Requirements

More information

Iris. A python package for the analysis and visualisation of Meteorological data. Philip Elson

Iris. A python package for the analysis and visualisation of Meteorological data. Philip Elson Iris A python package for the analysis and visualisation of Meteorological data Philip Elson 30 th Sept 2015 Outline What is Iris? Iris demo Using Iris for novel analysis Opportunities for combining Iris

More information

Experimental Probabilistic Hurricane Inundation Surge Height (PHISH) Guidance

Experimental Probabilistic Hurricane Inundation Surge Height (PHISH) Guidance Experimental Probabilistic Hurricane Inundation Surge Height (PHISH) Guidance DRBC Flood Advisory Committee John Kuhn - NWS/OCWWS Anne Myckow (NWS/MDL), Arthur Taylor (NWS/MDL) SLOSH Sea, Lake and Overland

More information

OpenWeatherMap Module

OpenWeatherMap Module OpenWeatherMap Module Installation and Usage Guide Revision: Date: Author(s): 1.0 Friday, October 13, 2017 Richard Mullins Contents Overview 2 Installation 3 Import the TCM in to accelerator 3 Add the

More information

NHC Ensemble/Probabilistic Guidance Products

NHC Ensemble/Probabilistic Guidance Products NHC Ensemble/Probabilistic Guidance Products Michael Brennan NOAA/NWS/NCEP/NHC Mark DeMaria NESDIS/STAR HFIP Ensemble Product Development Workshop 21 April 2010 Boulder, CO 1 Current Ensemble/Probability

More information

What can I do with the TIEGCM?

What can I do with the TIEGCM? What can I do with the TIEGCM? Astrid Maute and lots of people at HAO, and the community High Altitude Observatory NCAR High Altitude Observatory (HAO) National Center for Atmospheric Research (NCAR) The

More information

Synoptic Meteorology

Synoptic Meteorology M.Sc. in Meteorology Synoptic Meteorology [MAPH P312] Prof Peter Lynch Second Semester, 2004 2005 Seminar Room Dept. of Maths. Physics, UCD, Belfield. Part 9 Extratropical Weather Systems These lectures

More information

Speedwell High Resolution WRF Forecasts. Application

Speedwell High Resolution WRF Forecasts. Application Speedwell High Resolution WRF Forecasts Speedwell weather are providers of high quality weather data and forecasts for many markets. Historically we have provided forecasts which use a statistical bias

More information

AODT Advanced Objective Dvorak Technique USERS GUIDE (X-Window Version 6.3)

AODT Advanced Objective Dvorak Technique USERS GUIDE (X-Window Version 6.3) AODT Advanced Objective Dvorak Technique USERS GUIDE (X-Window Version 6.3) Prepared by Timothy L. Olander and Christopher S. Velden on behalf of The Cooperative Institute for Meteorological Satellite

More information

Examination of Tropical Cyclogenesis using the High Temporal and Spatial Resolution JRA-25 Dataset

Examination of Tropical Cyclogenesis using the High Temporal and Spatial Resolution JRA-25 Dataset Examination of Tropical Cyclogenesis using the High Temporal and Spatial Resolution JRA-25 Dataset Masato Sugi Forecast Research Department, Meteorological Research Institute, Japan Correspondence: msugi@mri-jma.go.jp

More information

Project Summary 2015 DTC Task MM5: Test of an Expanded WRF-ARW Domain

Project Summary 2015 DTC Task MM5: Test of an Expanded WRF-ARW Domain 1. Introduction Project Summary 2015 DTC Task MM5: Test of an Expanded WRF-ARW Domain Trevor Alcott Ligia Bernardet Isidora Jankov The High-Resolution Rapid Refresh (HRRR) model represents a major step

More information

Topic 3.2: Tropical Cyclone Variability on Seasonal Time Scales (Observations and Forecasting)

Topic 3.2: Tropical Cyclone Variability on Seasonal Time Scales (Observations and Forecasting) Topic 3.2: Tropical Cyclone Variability on Seasonal Time Scales (Observations and Forecasting) Phil Klotzbach 7 th International Workshop on Tropical Cyclones November 18, 2010 Working Group: Maritza Ballester

More information

Extratropical transition of North Atlantic tropical cyclones in variable-resolution CAM5

Extratropical transition of North Atlantic tropical cyclones in variable-resolution CAM5 Extratropical transition of North Atlantic tropical cyclones in variable-resolution CAM5 Diana Thatcher, Christiane Jablonowski University of Michigan Colin Zarzycki National Center for Atmospheric Research

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

Introduction of products for Climate System Monitoring

Introduction of products for Climate System Monitoring Introduction of products for Climate System Monitoring 1 Typical flow of making one month forecast Textbook P.66 Observed data Atmospheric and Oceanic conditions Analysis Numerical model Ensemble forecast

More information

VDM+: The Enhanced Vortex Message Dataset: Structure, Intensity, and Environmental Parameters from Atlantic Tropical Cyclones

VDM+: The Enhanced Vortex Message Dataset: Structure, Intensity, and Environmental Parameters from Atlantic Tropical Cyclones VDM+: The Enhanced Vortex Message Dataset: Structure, Intensity, and Environmental Parameters from Atlantic Tropical Cyclones Jonathan L. Vigh NCAR Technical Notes NCAR/TN 517+STR National Center for Atmospheric

More information

Collaborative WRF-based research and education enabled by software containers

Collaborative WRF-based research and education enabled by software containers Collaborative WRF-based research and education enabled by software containers J. Hacker, J. Exby, K. Fossell National Center for Atmospheric Research Contributions from Tim See (U. North Dakota) 1 Why

More information

10B.2 THE ROLE OF THE OCCLUSION PROCESS IN THE EXTRATROPICAL-TO-TROPICAL TRANSITION OF ATLANTIC HURRICANE KAREN

10B.2 THE ROLE OF THE OCCLUSION PROCESS IN THE EXTRATROPICAL-TO-TROPICAL TRANSITION OF ATLANTIC HURRICANE KAREN 10B.2 THE ROLE OF THE OCCLUSION PROCESS IN THE EXTRATROPICAL-TO-TROPICAL TRANSITION OF ATLANTIC HURRICANE KAREN Andrew L. Hulme* and Jonathan E. Martin University of Wisconsin-Madison, Madison, Wisconsin

More information

Genesis Parameters, Genesis Thresholds, and Mid-Level Humidity

Genesis Parameters, Genesis Thresholds, and Mid-Level Humidity Genesis Parameters, Genesis Thresholds, and Mid-Level Humidity Michael G. McGauley and David S. Nolan Rosenstiel School of Marine and Atmospheric Science University of Miami Miami, Florida, USA This work

More information

NHM Tutorial Part I. Brief Usage of the NHM

NHM Tutorial Part I. Brief Usage of the NHM 1 / 22 NHM Tutorial Part I. Brief Usage of the NHM Syugo HAYASHI (Forecast Research Department / Meteorological Research Institute) 2 / 18 Overall Index (Tutorial_0~3) 0. What is the NHM? NHM_Tutorial_0.ppt

More information

ECEN 449: Microprocessor System Design Department of Electrical and Computer Engineering Texas A&M University

ECEN 449: Microprocessor System Design Department of Electrical and Computer Engineering Texas A&M University ECEN 449: Microprocessor System Design Department of Electrical and Computer Engineering Texas A&M University Prof. Sunil P Khatri (Lab exercise created and tested by Ramu Endluri, He Zhou and Sunil P

More information

THE IMPACT OF SATELLITE-DERIVED WINDS ON GFDL HURRICANE MODEL FORECASTS

THE IMPACT OF SATELLITE-DERIVED WINDS ON GFDL HURRICANE MODEL FORECASTS THE IMPACT OF SATELLITE-DERIVED WINDS ON GFDL HURRICANE MODEL FORECASTS Brian J. Soden 1 and Christopher S. Velden 2 1) Geophysical Fluid Dynamics Laboratory National Oceanic and Atmospheric Administration

More information

JRA-55 Product Users' Handbook

JRA-55 Product Users' Handbook Climate Prediction Division Global Environment and Marine Department Japan Meteorological Agency September 2013 Change record Version Date Remarks 1.0 30 September 2013 First version 2.0 3 March 2014 Corrected

More information

Ensemble Prediction Systems

Ensemble Prediction Systems Ensemble Prediction Systems Eric Blake National Hurricane Center 7 March 2017 Acknowledgements to Michael Brennan 1 Question 1 What are some current advantages of using single-model ensembles? A. Estimates

More information

William M. Frank* and George S. Young The Pennsylvania State University, University Park, PA. 2. Data

William M. Frank* and George S. Young The Pennsylvania State University, University Park, PA. 2. Data 1C.1 THE 80 CYCLONES MYTH William M. Frank* and George S. Young The Pennsylvania State University, University Park, PA 1. Introduction myth: A traditional story accepted as history and/or fact. For the

More information

11/19/14. Chapter 11: Hurricanes. The Atmosphere: An Introduction to Meteorology, 12 th. Lutgens Tarbuck

11/19/14. Chapter 11: Hurricanes. The Atmosphere: An Introduction to Meteorology, 12 th. Lutgens Tarbuck Chapter 11: Hurricanes The Atmosphere: An Introduction to Meteorology, 12 th Lutgens Tarbuck Lectures by: Heather Gallacher, Cleveland State University! Hurricanes: " Hurricanes are intense centers of

More information

The 2009 Hurricane Season Overview

The 2009 Hurricane Season Overview The 2009 Hurricane Season Overview Jae-Kyung Schemm Gerry Bell Climate Prediction Center NOAA/ NWS/ NCEP 1 Overview outline 1. Current status for the Atlantic, Eastern Pacific and Western Pacific basins

More information

Introduction of climate monitoring and analysis products for one-month forecast

Introduction of climate monitoring and analysis products for one-month forecast Introduction of climate monitoring and analysis products for one-month forecast TCC Training Seminar on One-month Forecast on 13 November 2018 10:30 11:00 1 Typical flow of making one-month forecast Observed

More information

IMPACT OF GROUND-BASED GPS PRECIPITABLE WATER VAPOR AND COSMIC GPS REFRACTIVITY PROFILE ON HURRICANE DEAN FORECAST. (a) (b) (c)

IMPACT OF GROUND-BASED GPS PRECIPITABLE WATER VAPOR AND COSMIC GPS REFRACTIVITY PROFILE ON HURRICANE DEAN FORECAST. (a) (b) (c) 9B.3 IMPACT OF GROUND-BASED GPS PRECIPITABLE WATER VAPOR AND COSMIC GPS REFRACTIVITY PROFILE ON HURRICANE DEAN FORECAST Tetsuya Iwabuchi *, J. J. Braun, and T. Van Hove UCAR, Boulder, Colorado 1. INTRODUCTION

More information

Your Source for Global Aviation Forecasts

Your Source for Global Aviation Forecasts Your Source for Global Aviation Forecasts (831) 238-5054 100 Sky Park Drive Monterey, CA 93940 Weather4Cast.com Live Weather Data Feeds Weather4Cast.com provides Live Aviation Weather Data Feeds formatted

More information

Characteristics of Storm Tracks in JMA s Seasonal Forecast Model

Characteristics of Storm Tracks in JMA s Seasonal Forecast Model Characteristics of Storm Tracks in JMA s Seasonal Forecast Model Akihiko Shimpo 1 1 Climate Prediction Division, Japan Meteorological Agency, Japan Correspondence: ashimpo@naps.kishou.go.jp INTRODUCTION

More information

Exploring the Use of Dynamical Weather and Climate Models for Risk Assessment

Exploring the Use of Dynamical Weather and Climate Models for Risk Assessment Exploring the Use of Dynamical Weather and Climate Models for Risk Assessment James Done Willis Research Network Fellow National Center for Atmospheric Research Boulder CO, US Leverages resources in the

More information

WindNinja Tutorial 3: Point Initialization

WindNinja Tutorial 3: Point Initialization WindNinja Tutorial 3: Point Initialization 6/27/2018 Introduction Welcome to WindNinja Tutorial 3: Point Initialization. This tutorial will step you through the process of downloading weather station data

More information

DMI Report Weather observations from Tórshavn, The Faroe Islands Observation data with description

DMI Report Weather observations from Tórshavn, The Faroe Islands Observation data with description DMI Report 17-09 Weather observations from Tórshavn, The Faroe Islands 1953-2016 - Observation data with description John Cappelen Copenhagen 2017 http://www.dmi.dk/laer-om/generelt/dmi-publikationer/

More information

COAMPS-TC 2015 Version, Performance, and Future Plans

COAMPS-TC 2015 Version, Performance, and Future Plans COAMPS-TC 2015 Version, Performance, and Future Plans James D. Doyle, R. Hodur 1, J. Moskaitis, S. Chen, E. Hendricks 2, H. Jin, Y. Jin, A. Reinecke, S. Wang Naval Research Laboratory, Monterey, CA 1 IES/SAIC,

More information

FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2018

FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2018 FORECAST OF ATLANTIC SEASONAL HURRICANE ACTIVITY AND LANDFALL STRIKE PROBABILITY FOR 2018 We have decreased our forecast and now believe that 2018 will have below-average activity. The tropical and subtropical

More information

1. Introduction. 3. Climatology of Genesis Potential Index. Figure 1: Genesis potential index climatology annual

1. Introduction. 3. Climatology of Genesis Potential Index. Figure 1: Genesis potential index climatology annual C. ENSO AND GENESIS POTENTIAL INDEX IN REANALYSIS AND AGCMS Suzana J. Camargo, Kerry A. Emanuel, and Adam H. Sobel International Research Institute for Climate and Society, Columbia Earth Institute, Palisades,

More information

Report on stay at ZAMG

Report on stay at ZAMG Report on stay at ZAMG Viena, Austria 13.05.2013 05.07.2013 Simona Tascu NMA, Romania Supervised by: Yong Wang and Theresa Gorgas Introduction The goal of the present stay was to develop and optimize the

More information

Lower-Tropospheric Height Tendencies Associated with the Shearwise and Transverse Components of Quasigeostrophic Vertical Motion

Lower-Tropospheric Height Tendencies Associated with the Shearwise and Transverse Components of Quasigeostrophic Vertical Motion JULY 2007 N O T E S A N D C O R R E S P O N D E N C E 2803 Lower-Tropospheric Height Tendencies Associated with the Shearwise and Transverse Components of Quasigeostrophic Vertical Motion JONATHAN E. MARTIN

More information

NWS 13: NetCDF Wind/Pressure Inputs for ADCIRC

NWS 13: NetCDF Wind/Pressure Inputs for ADCIRC NWS 13: NetCDF Wind/Pressure Inputs for ADCIRC Alex Crosby Oceanweather Inc. Casey Dietrich NC State University 2018 ADCIRC User s Group Meeting Summary Motivation NetCDF Structure/Schema Implementation

More information

Table of Contents DBCP Buoy Monitoring Statistics... 1

Table of Contents DBCP Buoy Monitoring Statistics... 1 DBCP Buoy Monitoring Statistics Table of Contents DBCP Buoy Monitoring Statistics... 1 Introduction... 1 Standard format for the buoy monitoring statistics:... 4 Distribution of the statistics:... 4 Standard

More information

JRA-55 Product Users Handbook

JRA-55 Product Users Handbook Climate Prediction Division Global Environment and Marine Department Japan Meteorological Agency September 2013 Change record Version Date Remarks 1.0 30 September 2013 First version 2.0 3 March 2014 Corrected

More information

TECA, 13TB, 80,000 processors

TECA, 13TB, 80,000 processors TECA, 13TB, 80,000 processors Or: Characterizing extreme weather in a changing climate Second Workshop on Understanding Climate Change from Data University of Minnesota Michael F. Wehner, Prabhat, Surendra

More information

Global NWP Index documentation

Global NWP Index documentation Global NWP Index documentation The global index is calculated in two ways, against observations, and against model analyses. Observations are sparse in some parts of the world, and using full gridded analyses

More information

Forced and internal variability of tropical cyclone track density in the western North Pacific

Forced and internal variability of tropical cyclone track density in the western North Pacific Forced and internal variability of tropical cyclone track density in the western North Pacific Wei Mei 1 Shang-Ping Xie 1, Ming Zhao 2 & Yuqing Wang 3 Climate Variability and Change and Paleoclimate Working

More information

An Objective Algorithm for the Identification of Convective Tropical Cloud Clusters in Geostationary Infrared Imagery

An Objective Algorithm for the Identification of Convective Tropical Cloud Clusters in Geostationary Infrared Imagery University of North Carolina Asheville Journal of Undergraduate Research Asheville, North Carolina, 2010 An Objective Algorithm for the Identification of Convective Tropical Cloud Clusters in Geostationary

More information

The Interdecadal Variation of the Western Pacific Subtropical High as Measured by 500 hpa Eddy Geopotential Height

The Interdecadal Variation of the Western Pacific Subtropical High as Measured by 500 hpa Eddy Geopotential Height ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2015, VOL. 8, NO. 6, 371 375 The Interdecadal Variation of the Western Pacific Subtropical High as Measured by 500 hpa Eddy Geopotential Height HUANG Yan-Yan and

More information

Model Output Statistics (MOS)

Model Output Statistics (MOS) Model Output Statistics (MOS) Numerical Weather Prediction (NWP) models calculate the future state of the atmosphere at certain points of time (forecasts). The calculation of these forecasts is based on

More information

Finnish Open Data Portal for Meteorological Data

Finnish Open Data Portal for Meteorological Data 18.11.2013 1 Finnish Open Data Portal for Meteorological Data 14th Workshop on meteorological operational systems Roope Tervo Finnish Meteorological Institute Example of Data Sets -- Observations Data

More information

AN INTERNATIONAL SOLAR IRRADIANCE DATA INGEST SYSTEM FOR FORECASTING SOLAR POWER AND AGRICULTURAL CROP YIELDS

AN INTERNATIONAL SOLAR IRRADIANCE DATA INGEST SYSTEM FOR FORECASTING SOLAR POWER AND AGRICULTURAL CROP YIELDS AN INTERNATIONAL SOLAR IRRADIANCE DATA INGEST SYSTEM FOR FORECASTING SOLAR POWER AND AGRICULTURAL CROP YIELDS James Hall JHTech PO Box 877 Divide, CO 80814 Email: jameshall@jhtech.com Jeffrey Hall JHTech

More information

London Heathrow Field Site Metadata

London Heathrow Field Site Metadata London Heathrow Field Site Metadata Field Site Information Name: Heathrow src_id (Station ID number): 708 Geographic Area: Greater London Latitude (decimal ): 51.479 Longitude (decimal ): -0.449 OS Grid

More information

Earth Networks ENcast 6- Day Hourly Lat- Lon Forecast Feed

Earth Networks ENcast 6- Day Hourly Lat- Lon Forecast Feed Earth Networks ENcast 6- Day Hourly Lat- Lon Forecast Feed Introduction: The Earth Networks ENcast 6- Day Hourly Lat- Lon Forecast Feed will provide you with a variety of hourly forecast variables up to

More information

an accessible interface to marine environmental data Russell Moffitt

an accessible interface to marine environmental data Russell Moffitt an accessible interface to marine environmental data Russell Moffitt The Atlas Project GOAL: To provide a single point of access to oceanographic and environmental data for use by marine resource researchers,

More information