How KNMI meteorologists work with meteorological information systems

Slides:

Advertisements

Similar presentations

R. L. Buckley and C. H. Hunter Atmospheric Technologies Group Savannah River National Laboratory Recent Improvements to an Advanced Atmospheric Transport.

Advertisements

JMA Takayuki MATSUMURA (Forecast Department, JMA) C Asia Air Survey co., ltd New Forecast Technologies for Disaster Prevention and Mitigation 1.

Chapter 13 – Weather Analysis and Forecasting

“A LPB demonstration project” Celeste Saulo CIMA and Dept. of Atmos. and Ocean Sciences University of Buenos Aires Argentina Christopher Cunningham Center.

A drag parameterization for extreme wind speeds that leads to improved hurricane simulations Gerrit Burgers Niels Zweers Vladimir Makin Hans de Vries EMS.

Coupled NMM-CALMET Meteorology Development for the CALPUFF Air Dispersion Modelling in Complex Terrain and Shoreline Settings Presented at: European Geoscience.

Very-Short-Range Forecast of Precipitation in Japan World Weather Research Program Symposium on Nowcasting and Very Short Range Forecasting Toulouse France,

Chapter 9: Weather Forecasting Acquisition of weather information Acquisition of weather information Weather forecasting tools Weather forecasting tools.

Pete Bosler Modeling Geophysical Fluid Flows. Overview G “Geophysical Fluid Flow” G Ocean & Atmosphere G Physical oceanography and meteorology G Across.

Application of Numerical Model Verification and Ensemble Techniques to Improve Operational Weather Forecasting. Northeast Regional Operational Workshop.

Rapid Update Cycle Model William Sachman and Steven Earle ESC452 - Spring 2006.

FMI contribution to WGii first report Requirements from the forecasters and from the cuntomers Janne Kotro Jukka Julkunen Juha Kilpinen.

Forecasting convective initiation over Alpine terrain by means of automatic nowcasting and a high-resolution NWP model Georg Pistotnik, Thomas Haiden,

Chapter 13 – Weather Analysis and Forecasting. The National Weather Service The National Weather Service (NWS) is responsible for forecasts several times.

© Crown copyright 2012 Met Office Weather Observations Website (WOW) Aidan Green, 17 th October Introducing the.

March 14, 2006Intl FFF Workshop, Costa Rica Weather Decision Technologies, Inc. Hydro-Meteorological Decision Support System Bill Conway, Vice President.

Objectives What does it mean to be a meteorologist? By: Christian Tisby.

Numerical Weather Prediction at DWD COSMO-EU Grid spacing: 7 km Layers: 40 Forecast range: 78 h at 00 and 12 UTC 48 h at 06 and 18 UTC 1 grid element:

What is a Climate Model?.

Dynamical downscaling of wind fields in stratified flow: a high resolution mesoscale approach Pedro Miranda, R Tomé, A Rodrigues, J Palma, F Castro, J.

A comparison of air quality simulated by LOTO-EUROS driven by Harmonie and ECMWF using observations from Cabauw Jieying Ding, Ujjwal Kumar, Henk Eskes,

Verification and Case Studies for Urban Effects in HIRLAM Numerical Weather Forecasting A. Baklanov, A. Mahura, C. Petersen, N.W. Nielsen, B. Amstrup Danish.

NCAR Auto-Nowcaster Convective Weather Group NCAR/RAL.

MDL Lightning-Based Products Kathryn Hughes NOAA/NWS/OST December 3, 2003

Chapter 9: Weather Forecasting Surface weather maps 500mb weather maps Satellite Images Radar Images.

An air quality information system for cities with complex terrain based on high resolution NWP Viel Ødegaard, r&d department.

Weather Chapter 21 1.

Significance of Helsinki Testbed in research Overall themes: Mesoscale atmospheric research Forecast models development and verification Dispersion models.

Prediction of Tropical Cyclones Chapter 9. Tropical weather data from traditional sources (surface and radiosonde) is scarce, so remote sensing via other.

1 Current and Future needs of Numerical Weather Prediction Guidance at the NOAA Aviation Weather Center Jason Levit Techniques Development Meteorologist.

Early Warning System in Thailand by Prawit JAMPANYA Weather Forecast Bureau Thai Meteorological Department Ministry of Information and Communication Technology.

Henning Gisselø Danish Meteorological Institute in Copenhagen Operational forecaster for 17 years.

Eskes, TROPOMI workshop, Mar 2008 Air Quality Forecasting in Europe Henk Eskes European ensemble forecasts: GEMS and PROMOTE Air Quality forecasts for.

Forecasting the weather

Case study of a gust front passing the Danish island Funen on 9 November 2008 Majken Demant Meteorologist, aviation forecaster, DMI Eumetcal.

Regional Re-analyses of Observations, Ensembles and Uncertainties of Climate information Per Undén Coordinator UERRA SMHI.

WEATHER Week of Feb BELLRINGER: FEB 15 TH No School: Presidents Day.

Nathalie Voisin1 , Andrew W. Wood1 , Dennis P. Lettenmaier1 and Eric F

Numerical Weather Forecast Model (governing equations)

60 min Nowcasts 60 min Verification Cold Front Regime

RA IV Experts Group Meeting for SWFDP

Global Circulation Models

Outline of NMCs Presentation

University of Washington Ensemble Systems for Probabilistic Analysis and Forecasting Cliff Mass, Atmospheric Sciences University of Washington.

How do models work? METR 2021: Spring 2009 Lab 10.

Center for Analysis and Prediction of Storms (CAPS) Briefing by Ming Xue, Director CAPS is one of the 1st NSF Science and Technology Centers established.

Huaqing Cai, Jim Wilson, James Pinto, Dave Albo and Cindy Mueller

Yuanfu Xie, Steve Albers, Hongli Jiang Paul Schultz and ZoltanToth

Peter May and Beth Ebert CAWCR Bureau of Meteorology Australia

Use of ECMWF data at KNMI:

CAPS Mission Statement

Update on the Status of Numerical Weather Prediction

Forecasting Weather.

USING NUMERICAL PREDICTED RAINFALL DATA FOR A DISTRIBUTED HYDROLOGICAL MODEL TO ENHANCE FLOOD FORECAST: A CASE STUDY IN CENTRAL VIETNAM Nguyen Thanh.

Naval Research Laboratory

Ideas for NWS EPS Advancement

Introduction and Overview of Course

Challenge: High resolution models need high resolution observations

Meterology The study of atmospheric phenomena

How will the earth’s temperature change?

WMO NWP Wokshop: Blending Breakout

(Country Report)[1] Name of the organization

NWP Strategy of DWD after 2006 GF XY DWD Feb-19.

The Technology and Future of Weather Forecasting ATMS 490

Earth and Space Science Chapter 24

Ideas for NWS EPS Advancement

Poster Session: Numerical Weather Prediction at MeteoSwiss

Peter May and Beth Ebert CAWCR Bureau of Meteorology Australia

Short and Long Term Forecasting

The Impact of Moist Singular Vectors and Horizontal Resolution on Short-Range Limited-Area Ensemble Forecasts for Extreme Weather Events A. Walser1) M.

Presentation transcript:

How KNMI meteorologists work with meteorological information systems Jos Diepeveen forecaster Central Weather room De Bilt 29-4-2019 ADAGUC PRESENTATION

Overview Weather room Different types of forecasts/forecasters Example of 2 types of forecasts with a link to GIS. Short demonstration of Meteorological Workstation 29-4-2019 ADAGUC PRESENTATION

General forecaster Maritime forecaster Aviation forecaster Central weather room De Bilt General forecaster Maritime forecaster Aviation forecaster 29-4-2019 ADAGUC PRESENTATION

Forecasts have different scales in time and space 0-18 hrs  NOWCASTING 18-48 hrs  Short term Forecasting 48-240 hrs  Long term forecasting Working methods and added value of forecaster is very dependent of timescale. 29-4-2019 ADAGUC PRESENTATION

Long term forecasting (48-240 hrs) Looking at large scale flow patterns Forecast to ten days at 40 km resolution (high-resolution model) Added value of a forecaster? 29-4-2019 ADAGUC PRESENTATION

Long term forecasting (48-240 hrs) Ensemble prediction system 29-4-2019 ADAGUC PRESENTATION

Short term forecasting 18-48 hrs Use of Local area models (HiRLAM) resolution 11/22 km 29-4-2019 ADAGUC PRESENTATION

Short term forecasting 18-48 hrs Regional differences can be made Added value of a forecaster? 29-4-2019 ADAGUC PRESENTATION

Nowcasting (0-18 hrs) High resolution local area models Radar/Satellite/Ground observations Added value of a forecaster. NWP models Observations End Production Workstation forecaster 29-4-2019 ADAGUC PRESENTATION

Nowcasting (0-18 hr) Combination of Sat-observations and modelfields to verify the numerical model. 29-4-2019 ADAGUC PRESENTATION

Nowcasting (0-18 hr) 29-4-2019 ADAGUC PRESENTATION

Nowcasting (0-18 hr) Combination of ground-observations and modelfields to verify the numerical model. 29-4-2019 ADAGUC PRESENTATION

Nowcasting (0-18 hr) Radar (loop) Marking of important meteorological items. Quite often using of simple linear extrapolation. Finescale structures are usually not ‘caught’ by the numerical model Radar (loop) 29-4-2019 ADAGUC PRESENTATION

Example of 2 types of forecasts with a link to GIS. Downscaling Chemical calamities 29-4-2019 ADAGUC PRESENTATION

Downscaling Highest resolution of Hirlam model 11 km Flightplanning on e.g. Airports (sometimes) needs finer scale Downscaling is bases on simple model of the Planet Boundary layer and on the use of high resolution topographical information of surface roughness derived from GIS datasets 29-4-2019 ADAGUC PRESENTATION

Downscaling Model wind (10m) Downscaling wind 29-4-2019 ADAGUC PRESENTATION

Downscaling Windprofiles for runways on Amsterdam airport 29-4-2019 http://oper.knmi.nl/downscaling ADAGUC PRESENTATION

Chemical calamities vs GIS In case of a chemical calamity KNMI provides meteorological information on a interactive internet portal of the responsible ministry of environment. Calculation of dispersion is made and combined with an advanced GIS functionality 29-4-2019 ADAGUC PRESENTATION

29-4-2019 ADAGUC PRESENTATION

Short Demonstration of Meteorological Work Station 29-4-2019 ADAGUC PRESENTATION