Mesoscale Observing Network Course The Sea Breeze Project Reijo Hyvönen, FMI Christer Helenelund, Vaisala.

Slides:



Advertisements
Similar presentations
Development of a severe frontal rainband - plans for the Testbed- course study Jenni Teittinen Finnish Meteorological Institute 16 February 2007.
Advertisements

Aviation Climatology Andrew Rorke WFO LOX Los Angeles / Oxnard.
#4095. How much colder than standard temperature is the actual temperature at 9,000 feet, as indicated in the excerpt from the Winds and Temperature Aloft.
Warm-up Wednesday, February 13 Based on the weather outside, answer the questions: 1.What type of pressure system is it? (Low or High) 2.Is it a cold or.
HTB data collection Mesoscale Atmospheric Network Workshop University of Helsinki, 12 February 2007 Heikki Turtiainen.
How to obtain data, Researcher’s Interface 1.Overview 2.Self-registration walk through and listing the data 3.Creation of user-accounts 4.Hands-on experiments.
Mesoscale Investigations and Modeling in the Northern Mid-Atlantic Paul J. Croft and Shing Yoh.
Aegean Circulation Based on the 2002 Pilot Drifter Array A collaboration between the University of Miami, the Greek National Center of Marine Research.
Warm-Season Lake-/Sea-Breeze Severe Weather in the Northeast Patrick H. Wilson, Lance F. Bosart, and Daniel Keyser Department of Earth and Atmospheric.
Towards the operational cloud classification in Finland Otto Hyvärinen COST 722 Expert Meeting, Helsinki, 9 June 2004.
Coastal front formation at the Llobregat delta. Preliminary study David Pino 1,2 & Jordi Mazón 1 1 Applied Physics Department (UPC) 2 Institut d’Estudis.
Meteorological charts. Station Circle These symbols summarise a surface met. observation. The circle denotes the position. Pressure is in tenths of mb.
Chukchi Sea and Beaufort Sea Weather Research and Forecasting WRF Mesoscale Meteorology Model Mid-Term Project Meeting Funded by Bureau of Ocean Energy.
Helsinki Testbed Mesoscale weather research Forecast and dispersion models development and verification Information systems and technology integration.
Warm Season Thunderstorm Patterns Over the New Jersey Area Al Cope Paul Croft National Weather Service Kean University Mount Holly, NJ Union, NJ.
Weather and Climate Unit Part 1: Introduction to Weather and Climate Key Learning: The unequal heating and cooling of the Earth’s surface causes our weather.
3 Climate and Vegetation Chapter PHYSICAL GEOGRAPHY
Tips on Writing a Lab Report Please refer to the “Lab Report Reference Sheet” to help you as well.
RA-228 AND RA-226 FROFILES FROM THE NORTHERN SOUTH CHINA SEA Hsiu-Chuan Lin, Yu-Chia Chung and Chi-Ju Lin Institute of Marine Geology and Chemistry, National.
Boundary layer temperature profile observations using ground-based microwave radiometers Bernhard Pospichal, ISARS 2006 Garmisch-Partenkirchen AMMA - Benin.
IMPROVING VERY-SHORT-TERM STORM PREDICTIONS BY ASSIMILATING RADAR AND SATELLITE DATA INTO A MESOSCALE NWP MODEL Allen Zhao 1, John Cook 1, Qin Xu 2, and.
Piezoelectric precipitation sensor from VAISALA
Earth-Sun System Division National Aeronautics and Space Administration SPoRT SAC Nov 21-22, 2005 SPoRT Extensions to Coastal WFOs EOS Data and Products.
Use of Dynamical Adaptation in Research Impact Studies Second Workshop on Statistical and Dynamical Adaptation May 2003, Vienna, Austria Martina.
Trajectory Analysis of Pakistan for the Year 2007 By Sajjad Saeed, Zia ul Islam 2, Ahsan Rafi kiani 2 1- Pakistan Meteorological Department, Islamabad,
Significance of Helsinki Testbed in research Overall themes: Mesoscale atmospheric research Forecast models development and verification Dispersion models.
Determining Relationships between Lightning and Radar in Severe and Non-Severe Storms Scott D. Rudlosky Florida State University Department of Earth, Ocean,
Unit 1 Sections 1-1 & : Introduction What is Statistics?  Statistics – the science of conducting studies to collect, organize, summarize, analyze,
Exploring Weather Patterns. Collect and analyze data all year long. Use graphs and charts to collect data. Observe changes in weather patterns over the.
Dynamics of foreshore along Karwar beach, central west coast of India Shramik Patil* and U.G.Bhatt Dept of Marine Biology, KUPG Center, Kodibag, Karwar.
Title Authors Introduction Text, text, text, text, text, text Background Information Text, text, text, text, text, text Observations Text, text, text,
Chapter 4 © Oxford University Press, All rights reserved. 1 CHAPTER 4 ATMOSPHERIC CIRCULATION.
Statistics Module Statistics Statistics are a powerful tool for finding patterns in data and inferring important connections between events in.
Report writing. What is a report?? Record of a particular event. The literal meaning of the word report is a collection of formal or official statements,
MSG cloud mask initialisation in hydrostatic and non-hydrostatic NWP models Sibbo van der Veen KNMI De Bilt, The Netherlands EMS conference, September.
X = Y. Direct variation X 1 X = Y 1 Y 2.
Study of the Low Level Wind Shear using AMDAR reports Ana Denisa Urlea¹·², Mirela Pietrisi¹·³, Simmons Tascu³ ¹University of Bucharest, Faculty of Physics,
STMAS (Aviation Weather Testbed (AWT-2011) case: 22 July 2011 Highlight: Strong storms with a small line move through Chicago (O’Hare Airport) at 15z with.
On polarimetric characteristics of mesoscale cellular convection in the marine atmospheric boundary layer Haiyan Li, William Perrie, Lanli Guo , Biao Zhang.
Weather Reflection Do Now 1.Make a hypothesis for why we have wind 2.My hypothesis is that wind is formed when…. Weather 11/26/12 Observe, Question, Comment.
Preliminary Analysis by: Fawn Hornsby 1, Charles Rogers 2, & Sarah Thornton 3 1,3 North Carolina State University 2 University of Texas at El Paso Client:
OKX The OKX sounding at 1200 UTC has 153 J kg -1 CIN extending upwards to 800 hPa and < 500 J kg -1 CAPE. There was 41.8 mm of precipitable water. By 1400.
Lab Assignment Mobile Networks Lab 3
Vaisala Capabilities in Hydrometeorology Nicholas W. S. Demetriades and Ronald L. Holle Vaisala, Inc. Tucson, Arizona Fourth Symposium On Southwest Hydrometeorology.
PALAU Field Campaign in June – July 2008
TOPOGRAPHICALLY INDUCED CONVECTIVE CLOUD PATTERNS
RGB Applications for Cloud Microphysical Analysis in NinJo
Regional Weather and Climate Data
Probability and Statistics
Low level Jet.
Bell-Ringer! Think about the skills a scientist uses when designing an experiment. What are some skills you think are essential in the scientific process.
Daylength Local Mesoscale Winds Chinook Winds (Foehn) Loma, MT: January 15, 1972, the temperature rose from -54 to 49°F (-48 to 9°C), a 103°F (58°C)
Weather 12. Low Pressure System Air Pressure Humidity 13. Air Mass
Weather Chapter 13 Heating Effects in the Atmosphere.
Fig. 2 shows the relationship between air temperature and relative humidity. 2 (a) (i) Describe the relationship shown in Fig. 2. [3] (ii) State.
The Nature of Probability and Statistics
The course finished last lesson but what are you missing?
خشنه اتره اهورهه مزدا شيوۀ ارائه مقاله 17/10/1388.
Chapter 1 Data Analysis Ch.1 Introduction
Fig. 2 shows the relationship between air temperature and relative humidity. (a) (i) Describe the relationship shown in Fig. 2. [3] (ii) State.
Nonlinear modulation of O3 and CO induced by mountain waves in the UTLS region during TREX Mohamed Moustaoui(1), Alex Mahalov(1), Hector Teitelbaum(2)
Lab #3: Inquiry into Cell Division-Mitosis
Uta Gjertsen, met.no, Norway Günther Haase, SMHI, Sweden
Probability and Statistics
El Niño and La Niña.
Meteorological Institute, Hamburg University, Hamburg, Germany
Data Comparison and Analysis of the Frontal Passage Event on 2 FEB 04
Dual-Aircraft Investigation of the Inner Core of Hurricane Nobert
Tips on Writing a Lab Report
Presentation transcript:

Mesoscale Observing Network Course The Sea Breeze Project Reijo Hyvönen, FMI Christer Helenelund, Vaisala

©Vaisala | CH | December 2006 | Page 2 Suggested project title Characteristics of sea breeze at the Finnish South Coast

©Vaisala | CH | December 2006 | Page 3 Introduction Purpose/goal To clarify the sea breeze conditions on the Finnish South Coast using HTB data What is done/methodology Pick suitable dates to study (May 6, May 10, July 6 and July 8, 2006) Collect, summarize and analyze wind data from masts and wind profiler for these days for two cross sections along the coast Draw conclusions from the data obtained

©Vaisala | CH | December 2006 | Page 4 Measurement campaigns of HTB phase 1 May 2005 testing August 2005 (no database, limited instrumentation) convection, nowcasting by extrapolation World Championships in Athletics November 2005 snow/rain January-February 2006 inversions May 2006 sea breeze fog August 2006 convection

©Vaisala | CH | December 2006 | Page 5 Measurement lines

©Vaisala | CH | December 2006 | Page 6 Idealized sea breeze circulation

©Vaisala | CH | December 2006 | Page 7 Measurement station in conjunction with cellular base station Weather transmitter h = m Weather transmitter h = 2 m Cell phone data transfer module and power supply Station specific URL address for Internet access

©Vaisala | CH | December 2006 | Page 8 Malmi Wind Profiler (Vaisala LAP-3000) Photo from Malmi airport

©Vaisala | CH | December 2006 | Page 9 SYNOP

©Vaisala | CH | December 2006 | Page 10 Wind Profiler measurements

©Vaisala | CH | December 2006 | Page 11 Wind Profiler measurements

©Vaisala | CH | December 2006 | Page 12 Wind measurements :30UTC

©Vaisala | CH | December 2006 | Page 13 Wind measurements :45UTC

©Vaisala | CH | December 2006 | Page 14 Wind measurements :00UTC

©Vaisala | CH | December 2006 | Page 15 Wind measurements :15UTC

©Vaisala | CH | December 2006 | Page 16 Sea breeze front Reflections from insects & birds (swallows, swifts)

©Vaisala | CH | December 2006 | Page 17 Initial comments Limited HTB data available -> Too small statistical basis for finding common patterns Many days with unclear sea breeze effect The general weather pattern (the geostrophic wind and scattered cloudiness) makes very often the sea breeze weaker or even or non-existent The scattered archipelago makes the coast line diffuse and also the sea breeze unclear The scattered topography impacts also the local wind (tunneling effect) The albedo on the shore varies quite much along the coast On top of all this, there is obviously the normal stochastical variation in the wind Based on this it might be difficult to make any solid conclusions