SlideShare a Scribd company logo
The combination of visibility
and temperature, strong
surrogate for icing occurrence?

Jarkko Hirvonen
Finnish Meteorological Institute
Winterwind2012
Feb 6 – 7 2012 Skellefteå




07.02.12
Background
• Visibility (VIS) and temperature (T) measured since Oct 2005 in Puijo tower
• Direct observations of icing only partially for icing seasons:
  • 2009-2010, 2010-2011, 2011-2012
  • Webcam, LID-3300IP, Rosemount 0871LH1 FZ Sensor
• How reliable is it to use visibility and temperature to deduce icing occurence?
  • Comparison between direct icing observation and VIS/T-measurements
  • Aim: longer period of “icing” measurements for icing climatology




                                                                          07.02.12
Background
• Visibility (VIS) and temperature (T) measured since Oct 2005 in Puijo tower
• Direct observations of icing only partially for icing seasons:
  • 2009-2010, 2010-2011, 2011-2012
  • Webcam, LID-3300IP, Rosemount 0871LH1 FZ Sensor
• How reliable is it to use visibility and temperature to deduce icing occurence?
  • Comparison between direct icing observation and VIS/T-measurements
  • Aim: longer period of “icing” measurements for icing climatology




                                                                          07.02.12
Case selection and criteria for icing
• Only in-cloud cases are considered so far
   • Icing by mist (BR) or patchy cloudiness likely excluded
   • Icing by freezing (FZ) precipitation likely excluded
• in-cloud cases selected independently according to nearby lower level cloud
  base height (CBZ) detector (ceilometer), in-cloud if CBZ < 200 m.
• Surrogate icing: if VIS is poor (< 200 m) and freezing T (< 0°C)
• Real icing: if one of the direct instruments hints for icing
• Manual inspection of cases
   • low number of cases completed so far




                                                                        07.02.12
Case selection and criteria for icing
• Only in-cloud cases are considered so far
   • Icing by mist (BR) or patchy cloudiness likely excluded
   • Icing by freezing (FZ) precipitation likely excluded
• in-cloud cases selected independently according to nearby lower level cloud
  base height (CBZ) detector (ceilometer), in-cloud if CBZ < 200 m.
• Surrogate icing: if VIS is poor (< 200 m) and freezing T (< 0°C)
• Real icing: if one of the direct instruments hints for icing
• Manual inspection of cases
   • low number of cases completed so far




                                                                        07.02.12
Instrument
Puijo tower: VIS, T, webcam
                                                          elevations




                      Savilahti: CBZ




                                   image: P. Tukiainen
                                                                07.02.12
Instrument
Puijo tower: VIS, T, webcam
                                                          elevations




                      Savilahti: CBZ




                                   image: P. Tukiainen
                                                                07.02.12
Local map

• Distance between Savilahti
  ceilometer and Puijo tower 2,2 km.




                                07.02.12
Local map

• Distance between Savilahti
  ceilometer and Puijo tower 2,2 km.




                                07.02.12
Icing instruments on the roof of Puijo tower




• FD12P: VIS and T                   • LID-3300IP, right
• webcam                             • Rosemount 0871LH1, left   07.02.12
Icing instruments on the roof of Puijo tower




• FD12P: VIS and T                   • LID-3300IP, right
• webcam                             • Rosemount 0871LH1, left   07.02.12
Ceilometer on Lake Kallavesi level Savilahti weather station




                                            • Savilahti weather station




                                                                  07.02.12
Left: Rosemount     Dec 14 2010 at 07:30 UTC
                 Aerospace 0871LH1

                   Right: Labkotec
                   LID 3300IP


Icesensors on the roof of Puijo
tower seen through the
webcam




                                                   07.02.12
Left: Rosemount     Dec 14 2010 at 07:30 UTC
                 Aerospace 0871LH1

                   Right: Labkotec
                   LID 3300IP


Icesensors on the roof of Puijo
tower seen through the
webcam




                                                   07.02.12
Sensor signals during icing (FZDZ case)




LID-3300IP: Icing if signal value drops from 100 significantly   Rosemount 0871LH1: Ice event (cumulative): one 130 Hz
Heating starts at signal value 50                                Decrease from 40 kHz




                                                                                                                07.02.12
Sensor signals during icing (FZDZ case)




LID-3300IP: Icing if signal value drops from 100 significantly   Rosemount 0871LH1: Ice event (cumulative): one 130 Hz
Heating starts at signal value 50                                Decrease from 40 kHz




                                                                                                                07.02.12
Webcam, 10 hours icing Jan 16 2012 14:00 UTC




                                               07.02.12
Webcam, 10 hours icing Jan 17 2012 02:00 UTC




                                               07.02.12
Webcam, 10 hours icing Jan 16 2012 14:00 UTC




                                               07.02.12
Webcam, 10 hours icing Jan 17 2012 02:00 UTC




                                               07.02.12
Webcam, 10 hours icing Jan 16 2012 14:00 UTC




                                               07.02.12
Webcam, 10 hours icing Jan 17 2012 02:00 UTC




                                               07.02.12
Webcam, 3 days of sublimation between Jan 28 2012 06:45 UTC




                                                              07.02.12
Webcam, 3 days of sublimation between Jan 29 2012 06:45 UTC




                                                              07.02.12
Webcam, 3 days of sublimation between Jan 30 2012 06:45 UTC




                                                              07.02.12
Webcam, 3 days of sublimation between Jan 31 2012 06:45 UTC




                                                              07.02.12
Glaze ice formed by freezing drizzle on tower structures 23 Nov 2011




                                                                07.02.12
© Frisk Kim Ilmatieteen laitos




Present weather 1983-1992
Tampere Airport when VIS < 8 km.



            haze
            mist
           mist 1h
             fog
           drizzle
           FZRA
           SNRA
            -SN
            SN/
            +SN
           SHRA
           SHSN
                                      07.02.12   28
Cloud base height (CBZ) during an (icing) in-cloud case




       at least 3h of low cloudiness




                                                          07.02.12
Cloud base height (CBZ) during an (icing) in-cloud case




       at least 3h of low cloudiness




                                                          07.02.12
General problem with icing detectors in weather station usage
• every once in a while sensors do get ice all over if right meteorological
  conditions for icing prevail long enough
                                10.2.2011
        Rosemount         LID




                                                               VIS sensor
                                                 10.2.2011                    07.02.12
General problem with icing detectors in weather station usage
• every once in a while sensors do get ice all over if right meteorological
  conditions for icing prevail long enough
                                10.2.2011
        Rosemount         LID




                                                               VIS sensor
                                                 10.2.2011                    07.02.12
Results: comparison table for 13 (from 132 available) cases from
2009, (2010, 2011 TODO)




                                                             07.02.12
Conclusions
• Low cold (T<0°C) clouds practically always contain some liquid water
• VIS and T rule strong indicator for in-cloud icing as visibility is poor in-cloud
   • Exception might occur when T just slightly below zero (T=0...-1°C)
   • Then the ice detectors might stay quiet as latent heat release in phase transition
     (water->solid) is able to keep sensor surface above zero.3
• Other icing phenomena excluded in this study
   • Mist, pathy cloudiness , freezing precipitation, snow mixed rain
   • VIS/T-rule probably not work as well in these situations
   • Cases with ice detectors indicating without clear reason needs further studying
• Number of cases analyzed here is very small due to manual manipulation
   • further studies required with automated analysis
• Heavy and/or long-lasting mid and late icing season cases harder to study as
  ice detectors more likely ice up
                                                                                 07.02.12
Conclusions
• Low cold (T<0°C) clouds practically always contain some liquid water
• VIS and T rule strong indicator for in-cloud icing as visibility is poor in-cloud
   • Exception might occur when T just slightly below zero (T=0...-1°C)
   • Then the ice detectors might stay quiet as latent heat release in phase transition
     (water->solid) is able to keep sensor surface above zero.3
• Other icing phenomena excluded in this study
   • Mist, pathy cloudiness , freezing precipitation, snow mixed rain
   • VIS/T-rule probably not work as well in these situations
   • Cases with ice detectors indicating without clear reason needs further studying
• Number of cases analyzed here is very small due to manual manipulation
   • further studies required with automated analysis
• Heavy and/or long-lasting mid and late icing season cases harder to study as
  ice detectors more likely ice up
                                                                                 07.02.12
Thank you!


Jarkko Hirvonen
Finnish Meteorological Institute
jarkko.hirvonen@fmi.fi
p.+358-50-5230130




07.02.12

More Related Content

More from Winterwind

Kvt mapping of_icing
Kvt mapping of_icingKvt mapping of_icing
Kvt mapping of_icingWinterwind
 
Bergström hans
Bergström hansBergström hans
Bergström hansWinterwind
 
Bergström fredrik
Bergström fredrikBergström fredrik
Bergström fredrikWinterwind
 
Byrkjedal øyvind
Byrkjedal øyvindByrkjedal øyvind
Byrkjedal øyvindWinterwind
 
Delle monache luca
Delle monache lucaDelle monache luca
Delle monache lucaWinterwind
 
Hietanen jarmo
Hietanen jarmoHietanen jarmo
Hietanen jarmoWinterwind
 
Hudecz adriana
Hudecz adrianaHudecz adriana
Hudecz adrianaWinterwind
 
Huttunen saara
Huttunen saaraHuttunen saara
Huttunen saaraWinterwind
 
Jordaens pieter jan
Jordaens pieter janJordaens pieter jan
Jordaens pieter janWinterwind
 
Meyer sebastian
Meyer sebastianMeyer sebastian
Meyer sebastianWinterwind
 
Olsson esbjörn
Olsson esbjörnOlsson esbjörn
Olsson esbjörnWinterwind
 
Sell dr. stephan
Sell dr. stephanSell dr. stephan
Sell dr. stephanWinterwind
 

More from Winterwind (20)

Kvt mapping of_icing
Kvt mapping of_icingKvt mapping of_icing
Kvt mapping of_icing
 
Bergström hans
Bergström hansBergström hans
Bergström hans
 
Bergström fredrik
Bergström fredrikBergström fredrik
Bergström fredrik
 
Byrkjedal øyvind
Byrkjedal øyvindByrkjedal øyvind
Byrkjedal øyvind
 
Campbell iain
Campbell iainCampbell iain
Campbell iain
 
Davis neil
Davis neilDavis neil
Davis neil
 
Delle monache luca
Delle monache lucaDelle monache luca
Delle monache luca
 
Derrick alan
Derrick alanDerrick alan
Derrick alan
 
Hietanen jarmo
Hietanen jarmoHietanen jarmo
Hietanen jarmo
 
Hudecz adriana
Hudecz adrianaHudecz adriana
Hudecz adriana
 
Hutton gail
Hutton gailHutton gail
Hutton gail
 
Huttunen saara
Huttunen saaraHuttunen saara
Huttunen saara
 
Jeffs justin
Jeffs justinJeffs justin
Jeffs justin
 
Jordaens pieter jan
Jordaens pieter janJordaens pieter jan
Jordaens pieter jan
 
Karlsson timo
Karlsson timoKarlsson timo
Karlsson timo
 
Meyer sebastian
Meyer sebastianMeyer sebastian
Meyer sebastian
 
Olsson esbjörn
Olsson esbjörnOlsson esbjörn
Olsson esbjörn
 
Ribeiro carla
Ribeiro carlaRibeiro carla
Ribeiro carla
 
Sell dr. stephan
Sell dr. stephanSell dr. stephan
Sell dr. stephan
 
Sukosd attila
Sukosd attilaSukosd attila
Sukosd attila
 

Recently uploaded

Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Paige Cruz
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
RinaMondal9
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
Adtran
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
DanBrown980551
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neo4j
 
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Nexer Digital
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
SOFTTECHHUB
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Matthew Sinclair
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
Quotidiano Piemontese
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
James Anderson
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
Laura Byrne
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
DianaGray10
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
mikeeftimakis1
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
Uni Systems S.M.S.A.
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
Aftab Hussain
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Albert Hoitingh
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Aggregage
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
James Anderson
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
Rohit Gautam
 

Recently uploaded (20)

Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfObservability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdf
 
Free Complete Python - A step towards Data Science
Free Complete Python - A step towards Data ScienceFree Complete Python - A step towards Data Science
Free Complete Python - A step towards Data Science
 
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdfFIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
 
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 daysPushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
 
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...
 
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024GraphSummit Singapore | The Art of the  Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
 
Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?Elizabeth Buie - Older adults: Are we really designing for our future selves?
Elizabeth Buie - Older adults: Are we really designing for our future selves?
 
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...
 
20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 202420240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
 
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practicesNational Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
 
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...
 
The Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and SalesThe Art of the Pitch: WordPress Relationships and Sales
The Art of the Pitch: WordPress Relationships and Sales
 
Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1Communications Mining Series - Zero to Hero - Session 1
Communications Mining Series - Zero to Hero - Session 1
 
Introduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - CybersecurityIntroduction to CHERI technology - Cybersecurity
Introduction to CHERI technology - Cybersecurity
 
Microsoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdfMicrosoft - Power Platform_G.Aspiotis.pdf
Microsoft - Power Platform_G.Aspiotis.pdf
 
Removing Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software FuzzingRemoving Uninteresting Bytes in Software Fuzzing
Removing Uninteresting Bytes in Software Fuzzing
 
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024
 
Generative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionGenerative AI Deep Dive: Advancing from Proof of Concept to Production
Generative AI Deep Dive: Advancing from Proof of Concept to Production
 
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
 
Large Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial ApplicationsLarge Language Model (LLM) and it’s Geospatial Applications
Large Language Model (LLM) and it’s Geospatial Applications
 

Comparison of visibility observations at a meteorological tower to cloud base height observations from nearby and distant weather stations Jarkko Hirvonen, Finnish Meteorological Institute

  • 1. The combination of visibility and temperature, strong surrogate for icing occurrence? Jarkko Hirvonen Finnish Meteorological Institute Winterwind2012 Feb 6 – 7 2012 Skellefteå 07.02.12
  • 2. Background • Visibility (VIS) and temperature (T) measured since Oct 2005 in Puijo tower • Direct observations of icing only partially for icing seasons: • 2009-2010, 2010-2011, 2011-2012 • Webcam, LID-3300IP, Rosemount 0871LH1 FZ Sensor • How reliable is it to use visibility and temperature to deduce icing occurence? • Comparison between direct icing observation and VIS/T-measurements • Aim: longer period of “icing” measurements for icing climatology 07.02.12
  • 3. Background • Visibility (VIS) and temperature (T) measured since Oct 2005 in Puijo tower • Direct observations of icing only partially for icing seasons: • 2009-2010, 2010-2011, 2011-2012 • Webcam, LID-3300IP, Rosemount 0871LH1 FZ Sensor • How reliable is it to use visibility and temperature to deduce icing occurence? • Comparison between direct icing observation and VIS/T-measurements • Aim: longer period of “icing” measurements for icing climatology 07.02.12
  • 4. Case selection and criteria for icing • Only in-cloud cases are considered so far • Icing by mist (BR) or patchy cloudiness likely excluded • Icing by freezing (FZ) precipitation likely excluded • in-cloud cases selected independently according to nearby lower level cloud base height (CBZ) detector (ceilometer), in-cloud if CBZ < 200 m. • Surrogate icing: if VIS is poor (< 200 m) and freezing T (< 0°C) • Real icing: if one of the direct instruments hints for icing • Manual inspection of cases • low number of cases completed so far 07.02.12
  • 5. Case selection and criteria for icing • Only in-cloud cases are considered so far • Icing by mist (BR) or patchy cloudiness likely excluded • Icing by freezing (FZ) precipitation likely excluded • in-cloud cases selected independently according to nearby lower level cloud base height (CBZ) detector (ceilometer), in-cloud if CBZ < 200 m. • Surrogate icing: if VIS is poor (< 200 m) and freezing T (< 0°C) • Real icing: if one of the direct instruments hints for icing • Manual inspection of cases • low number of cases completed so far 07.02.12
  • 6. Instrument Puijo tower: VIS, T, webcam elevations Savilahti: CBZ image: P. Tukiainen 07.02.12
  • 7. Instrument Puijo tower: VIS, T, webcam elevations Savilahti: CBZ image: P. Tukiainen 07.02.12
  • 8. Local map • Distance between Savilahti ceilometer and Puijo tower 2,2 km. 07.02.12
  • 9. Local map • Distance between Savilahti ceilometer and Puijo tower 2,2 km. 07.02.12
  • 10. Icing instruments on the roof of Puijo tower • FD12P: VIS and T • LID-3300IP, right • webcam • Rosemount 0871LH1, left 07.02.12
  • 11. Icing instruments on the roof of Puijo tower • FD12P: VIS and T • LID-3300IP, right • webcam • Rosemount 0871LH1, left 07.02.12
  • 12. Ceilometer on Lake Kallavesi level Savilahti weather station • Savilahti weather station 07.02.12
  • 13. Left: Rosemount Dec 14 2010 at 07:30 UTC Aerospace 0871LH1 Right: Labkotec LID 3300IP Icesensors on the roof of Puijo tower seen through the webcam 07.02.12
  • 14. Left: Rosemount Dec 14 2010 at 07:30 UTC Aerospace 0871LH1 Right: Labkotec LID 3300IP Icesensors on the roof of Puijo tower seen through the webcam 07.02.12
  • 15. Sensor signals during icing (FZDZ case) LID-3300IP: Icing if signal value drops from 100 significantly Rosemount 0871LH1: Ice event (cumulative): one 130 Hz Heating starts at signal value 50 Decrease from 40 kHz 07.02.12
  • 16. Sensor signals during icing (FZDZ case) LID-3300IP: Icing if signal value drops from 100 significantly Rosemount 0871LH1: Ice event (cumulative): one 130 Hz Heating starts at signal value 50 Decrease from 40 kHz 07.02.12
  • 17. Webcam, 10 hours icing Jan 16 2012 14:00 UTC 07.02.12
  • 18. Webcam, 10 hours icing Jan 17 2012 02:00 UTC 07.02.12
  • 19. Webcam, 10 hours icing Jan 16 2012 14:00 UTC 07.02.12
  • 20. Webcam, 10 hours icing Jan 17 2012 02:00 UTC 07.02.12
  • 21. Webcam, 10 hours icing Jan 16 2012 14:00 UTC 07.02.12
  • 22. Webcam, 10 hours icing Jan 17 2012 02:00 UTC 07.02.12
  • 23. Webcam, 3 days of sublimation between Jan 28 2012 06:45 UTC 07.02.12
  • 24. Webcam, 3 days of sublimation between Jan 29 2012 06:45 UTC 07.02.12
  • 25. Webcam, 3 days of sublimation between Jan 30 2012 06:45 UTC 07.02.12
  • 26. Webcam, 3 days of sublimation between Jan 31 2012 06:45 UTC 07.02.12
  • 27. Glaze ice formed by freezing drizzle on tower structures 23 Nov 2011 07.02.12
  • 28. © Frisk Kim Ilmatieteen laitos Present weather 1983-1992 Tampere Airport when VIS < 8 km. haze mist mist 1h fog drizzle FZRA SNRA -SN SN/ +SN SHRA SHSN 07.02.12 28
  • 29. Cloud base height (CBZ) during an (icing) in-cloud case at least 3h of low cloudiness 07.02.12
  • 30. Cloud base height (CBZ) during an (icing) in-cloud case at least 3h of low cloudiness 07.02.12
  • 31. General problem with icing detectors in weather station usage • every once in a while sensors do get ice all over if right meteorological conditions for icing prevail long enough 10.2.2011 Rosemount LID VIS sensor 10.2.2011 07.02.12
  • 32. General problem with icing detectors in weather station usage • every once in a while sensors do get ice all over if right meteorological conditions for icing prevail long enough 10.2.2011 Rosemount LID VIS sensor 10.2.2011 07.02.12
  • 33. Results: comparison table for 13 (from 132 available) cases from 2009, (2010, 2011 TODO) 07.02.12
  • 34. Conclusions • Low cold (T<0°C) clouds practically always contain some liquid water • VIS and T rule strong indicator for in-cloud icing as visibility is poor in-cloud • Exception might occur when T just slightly below zero (T=0...-1°C) • Then the ice detectors might stay quiet as latent heat release in phase transition (water->solid) is able to keep sensor surface above zero.3 • Other icing phenomena excluded in this study • Mist, pathy cloudiness , freezing precipitation, snow mixed rain • VIS/T-rule probably not work as well in these situations • Cases with ice detectors indicating without clear reason needs further studying • Number of cases analyzed here is very small due to manual manipulation • further studies required with automated analysis • Heavy and/or long-lasting mid and late icing season cases harder to study as ice detectors more likely ice up 07.02.12
  • 35. Conclusions • Low cold (T<0°C) clouds practically always contain some liquid water • VIS and T rule strong indicator for in-cloud icing as visibility is poor in-cloud • Exception might occur when T just slightly below zero (T=0...-1°C) • Then the ice detectors might stay quiet as latent heat release in phase transition (water->solid) is able to keep sensor surface above zero.3 • Other icing phenomena excluded in this study • Mist, pathy cloudiness , freezing precipitation, snow mixed rain • VIS/T-rule probably not work as well in these situations • Cases with ice detectors indicating without clear reason needs further studying • Number of cases analyzed here is very small due to manual manipulation • further studies required with automated analysis • Heavy and/or long-lasting mid and late icing season cases harder to study as ice detectors more likely ice up 07.02.12
  • 36. Thank you! Jarkko Hirvonen Finnish Meteorological Institute jarkko.hirvonen@fmi.fi p.+358-50-5230130 07.02.12