Mobile friction observations and thermal mapping in Testbed area Helsinki Testbed mesoscale course Toni Hellinen and Marjo Hippi.

Slides:

Advertisements

Similar presentations

Predicting Weather. Meteorologist A person who studies the weather. They make weather maps from information gathered using various weather instruments.

Advertisements

TRANS ALASKA PIPELINE 800 mile Trans Alaska Pipeline system (TAPS) stretches from Prudhoe Bay to Valdez in North America Pipeline Transports crude oil.

Development of high spatial resolution Forest Fire Index for boreal conditions Applications to Helsinki Testbed area - Preliminary results- Andrea Vajda,

Predicting the Weather

The role of remote sensing in oceanographic studies. Satellites used :Jason, Oceansat, Topeix-Poseidon,MODIS, AVHRR, SeaWiFS…

Remote Sensing of Mesoscale Vortices in Hurricane Eyewalls Presented by: Chris Castellano Brian Cerruti Stephen Garbarino.

Predicting the Weather. Weather Forecasting Meteorologists are scientists who study the causes of weather and try to predict it. –They analyze data and.

Driving Under Adverse Weather Conditions NHTSA School Bus Driver In-Service Safety Series.

Preparing Your Car for Winter Driving

Surface Temperature Described scientifically, surface temperature is the radiating temperature of the ground surface including grass, bare soil, roads,

Clouds. Clouds  Tiny droplets of water and/or ice crystals piled together  Droplets are seven times smaller than the width of a hair  White because.

MDSS Challenges, Research, and Managing User Expectations - Weather Issues - Bill Mahoney & Kevin Petty National Center for Atmospheric Research (NCAR)

WINTER STORMS By: Hannah Winter Storms Moisture evaporates in the air. Snow falls into warm air and melts into rain. An ice storm is a type of winter.

Surface Transportation Weather: Assessment of Current Capabilities and Future Trends William Mahoney Richard Wagoner National Center For Atmospheric Research.

4-1 Lesson 4 Technology: Resources and Implementation.

The National Environmental Agency of Georgia L. Megrelidze, N. Kutaladze, Kh. Kokosadze NWP Local Area Models’ Failure in Simulation of Eastern Invasion.

Remote sensing for Earth observation Dr Nigel Trodd Coventry University.

Use of GIS Monitoring California Resources. Data fusion, remote sensing and predicitions.

The Relevance of Measuring Dewpoint Immediately Above The Road Henrik Baad, Danish Road Directorate Søren Brodersen, Danish Meteorological Institute.

REGIONAL DECISION SUPPORT SYSTEM T. Bazlova, N. Bocharnikov, V. Olenev, and A. Solonin Institute of Radar Meteorology St. – Petersburg, Russia 2010.

15th International Road Weather Conference February 5th - 7th, 2010 in Québec City, Canada By Naoto Takahashi*, Roberto Tokunaga* & Naoki Nishiyama **

Satellite and Radar Imagery

Best Practices on Monitoring Deployment Road Weather Monitoring Conclusions Yrjö Pilli-Sihvola Finnish Road Administration.

1 OFCM Session 6 – Urban Test Beds Vehicles as Mobile Platforms Andrew Stern Consulting Meteorologist FHWA Road Weather Management Team Noblis, Inc., Falls.

MV-4920 Physical Modeling Remote Sensing Basics Mapping VR/Simulation Scientific Visualization/GIS Smart Weapons Physical Nomenclature Atmospherics Illumination.

© TAFE MECAT 2008 Chapter 6(b) Where & how we take measurements.

Suitability of the new paradigm for winter observation of road condition Mr. Rok Kršmanc, Ms. Alenka Šajn Slak, Mr. Samo Čarman CGS plus d.o.o., Slovenia,

Severe Weather By Samantha. Hurricanes Hurricanes are powerful storms. They happen a lot in August, September and October. The sky gets dark. There may.

Chapter 18 Notes Weather. Fronts, pressures, clouds  Fronts - leading edge of a moving air mass.  Pressures – areas of sinking or rising air.  Clouds.

W ATER C YCLE A ND W EATHER S CALES. What is weather scale? Meteorologists classify weather phenomena into four classes or scales. The four scales are:

31 October 2015 A statistical forecast model for road surface friction Marjo Hippi Ilkka Juga Pertti Nurmi Finnish.

Reaction Time and Breaking Distance. 1. Reaction distance: Distance the vehicle moves during the time it takes to react (reaction time) and apply the.

This material is based upon work supported by the National Science Foundation under Grant No. ANT Any opinions, findings, and conclusions or recommendations.

Cloud Evolution and the Sea Breeze Front

To know that condensation is the process of gas cooling to form a liquid. Mª Teresa Villarroya I Font CONDENSATION.

Fronts and Pressure. Fronts, pressures, clouds  Fronts - leading edge of a moving air mass.  Pressures – areas of sinking or rising air.  Clouds –

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

Predicting the Weather Section Forecasting Weather Collecting Data Direct Observations Use of instruments.

Habitats: Life in a Polar Region. What do polar region habitats look like? The only people that live in the Antarctic are scientists in research stations.

Planning, development and implementation of a Mobile Winter Maintenance Centre Authors: Bent Juhl Pedersen, M.Sc.EE, Danish Road Directorate Kim Niels.

R = Channel 02 (VIS0.8) G = Channel 04r (IR3.9, solar component) B = Channel 09 (IR10.8) Day Microphysics RGB devised by: D. Rosenfeld Applications: Applications:Cloud.

Unit 11 Lesson 2 Elements of Weather

Instrument location ceilo pyro radar 10m Ground-based remote sensing instruments of clouds and precip at Princess Elisabeth.

Satellite Microwave Radiometry: Current and Future Products Rogre De Roo and Tony England Atmospheric, Oceanic, and Space Sciences.

How does a glacier build up? A glacier builds up by snow piling up, and from cold weather, it eventually freezes into a glacier. Snow will compact over.

UNIT 6 VEHICLE HANDLING THE EFFECT OF CONDITIONS

PHYSICAL WEATHERING YEAR 8_O 1st May 2007.

Surface Transportation and Atmospheric Observation Integrating the ITS Infostructure and Environmental Observation Paul Pisano, FHWA HOTO-1 Road Weather.

Unit 4 Lesson 1 Elements of Weather

Optimal selection of Parameters NOMEK 2011 Helsinki 9-13 Maj, Elena Saltikoff & Anna Geidne, SMHI Mallversion

SIRWEC. All slides Copyright 2010 Mike Chapman / NCAR Michael Chapman, Sheldon Drobot, Elena Schuler, Brice Lambi, Gerry Wiener, William Mahoney, NCAR.

Chapter 20 Section 5 Forecasting Weather Objectives: -Compare and contrast the different technologies used to gather weather data -Analyze weather symbols,

ANALYSIS OF DURABILITY AND RETRO-REFLECTION OF ROAD MARKING

Forecasting Lake Effect Snow Storms

Atmosphere & Weather Review

Road Weather Information Systems (RWIS)

Runway Weather Information Systems & Grip

Essential Questions Why is accurate weather data important?

Future Applications AviCast, CheckTime, Mobile Sensors

The influence of air mass circulation patterns on the urban heat island intensity and fire risk weather in Helsinki Testbed Andrea Vajda, Achim Drebs Finnish.

Thermal Wind, Temperature Advection, and Doppler

Frost shattering or freeze thaw weathering

Section 3: Gathering Weather Data

Thermal Wind, Temperature Advection, and Doppler

The FMI Road Weather Model, Applications and Projects

Winter weather characteristics and effects

Predicting the Weather

WHO WILL WIN THE RACE TO AUTONOMY ? RONI DULBERG, CEO

Presentation transcript:

Mobile friction observations and thermal mapping in Testbed area Helsinki Testbed mesoscale course Toni Hellinen and Marjo Hippi

Motivations Interest of using new equipments Researching the spatial fluctuation of road temperature and friction Finding the sensitive places of road slipperiness Identification of different weather phenomena that cause slipperiness on roads

Vaisala Remote Road Surface Condition Sensor DSC111 Remote surface state sensing Measuring thickness of water ice slush snow or frost layer friction coefficient (0-1) Parallel use with remote temperature sensor Both attached to vehicle

Observations Mobile measurements from ColdSpots project data Comparable data from road weather stations in Testbed area Mobile measurements were done in interesting weather situations Thawing period Snowing period Cold slippery (surface temperature below -7 C and light snow) Slush period

Map of the area (Vt1)

Case study Vt

Radar data :30 UTC

Conclusions Research three different occasions Vt : Snowing Vt6, Vt : Thawing and snowing Vt6, Vt : Slush Comparing optical friction and temperature measurements to road weather observations and radar data