European Metrology Research Program (EMRP) MeteoMet Project (October 2011) WP3. Traceable measurements methods and protocols for ground based meteorological.

Slides:



Advertisements
Similar presentations
Maintenance system and technology used in FMI´s observation network Jani Gustafsson Introduction FMI´s observation network.
Advertisements

Wind: Energy measurement and analysis services in FMI
Zentralanstalt für Meteorologie und Geodynamik Atmospheric stability in urban areas detected by ultrasonic anemometers Martin Piringer, August Kaiser.
Bridging the Gap Between Statistics and Engineering Statistical calibration of CFD simulations in Urban street canyons with Experimental data Liora Malki-Epshtein.
Page 1© Crown copyright 2004 Introduction to upper air measurements with radiosondes and other in situ observing systems [3] John Nash, C. Gaffard,R. Smout.
Meteorological Observatory Lindenberg – Richard Assmann Observatory The GCOS Reference Upper Air Network.
A thermodynamic model for estimating sea and lake ice thickness with optical satellite data Student presentation for GGS656 Sanmei Li April 17, 2012.
Field experiment on the effects of a nearby asphalt road on temperature measurement Mariko Kumamoto 1, Michiko Otsuka 2, Takeshi Sakai 1 and Toshinori.
Meteorology is the study of weather, weather phenomena, and weather forecasting. It uses two kinds of observations: Qualitative: not based on numbers.
VOSClim Project Information. Why do we want the VOSClim information? The purpose of VOSClim Project To provide a high-quality set of marine met obs Detailed.
Atmosphere, Weather and Climate
CEREA – Group « Meteorological Measurements » 15 September METEOROLOGICAL MEASUREMENTS IN THE ATMOSPHERIC BOUNDARY LAYER E. Dupont – D. Demengel.
Climate & Unit 1. Vocabulary Weather Atmosphere Climate Precipitations Wind Meteorologist Anemometer Wind vane.
Selection of measuring instruments
1 / 17 Deutscher Wetterdienst Meteorological Observatory Lindenberg Richard Assmann Observatory The GCOS Reference Upper Air Network Holger Vömel GRUAN.
Welcome to Weather Science Jeopardy GeneralKnowledge Weather Factors I Weather Factors II ForecastingTools Final Jeopardy.
Earth and Atmospheric Sciences EAS535 Atmospheric Measurements and Observations II EAS 535
Met 163: Lecture 2 Human aspects of measurement human perception vs sensor measurements reasons for automation design, implementation, and maintenance.
WEATHER Weather vs. Climate Weather – the atmospheric conditions over a relatively short period of time Weather – the atmospheric conditions over a relatively.
Barometric Altimetry Using the Vernier LabPro. Purpose of Report Improved altitude determination for Balloon Fest and other activities Improved altitude.
Short Course on Introduction to Meteorological Instrumentation and Observations Techniques Wind Measurements Short Course on Introduction to Meteorological.
Climate & Unit 1. Vocabulary Weather Atmosphere Climate Precipitations Wind Meteorologist Anemometer Wing vane.
Humidity - Humidity sensors - Vapour pressure and dew point temperature - Soil moisture sensors - Leaf wetness sensors.
Miruna DOBRE – SMD (Belgium) Stephanie BELL – NPL (United Kingdom) Dolores del CAMPO – CEM (Spain) Martti HEINONEN - MIKES (Finland)
© NMISA 2010 INTERNATIONAL ACTIVITIES AT THE NMISA HUMIDITY LABORATORY DURING 2009/2010 Deona Jonker.
John Nash Upper Air Technology Centre Met Office , UK
2010 CEOS Field Reflectance Intercomparisons Lessons Learned K. Thome 1, N. Fox 2 1 NASA/GSFC, 2 National Physical Laboratory.
7th European Conference SAUVEUR 1 Wind Tunnel Modelling in Conservation Stanislav Pospíšil, Miloš Drdácký, Zuzana Slížková, Jaroslav Lesák, Dagmar Knotková.
Leon Tolstoy, UPRM, UMASS Elena SaltikoffVaisala Internship in Helsinki, Finland January - February 2006.
Meteorological Observatory Lindenberg – Richard Assmann Observatory The GCOS Reference Upper Air Network.
Passive House Seminar for Professionals from the Building Sector
Section 12.3 Gathering Weather Data
NAV-IS: Navigation Information System
Chapter 2, Lesson 3.  A weather forecast is a prediction of weather conditions over the next 3 to 5 days.  A meteorologist is a person who observes.
Moisture impact on building rocks - the laboratory and in situ investigations FIDRÍKOVÁ D., KUBIČÁR Ľ. Institute of Physics SAS, Bratislava, Slovakia The.
Guided Notes on Gathering Weather Data
The Tiksi Hydrometeorological Observatory Program International Collaboration for Climate Studies U.S. Science Contact:
Scientific Methods Error Analysis Random and Systematic Errors Precision and Accuracy.
Documentation of surface observation. Classification for siting and performance characteristics Michel Leroy, Météo-France.
Russian proposals to Scientific program of Hydrometeorological observatory in framework of meteorological and radiation measurements (prepared by A. Makshtas)
© TAFE MECAT 2008 Chapter 6(b) Where & how we take measurements.
Automated Weather Observations from Ships and Buoys: A Future Resource for Climatologists Shawn R. Smith Center for Ocean-Atmospheric Prediction Studies.
Predicting the Weather 2006 Prentice Hall Science Explorer-Earth Science.
What are they? What do they do?
Quality management, calibration, testing and comparison of instruments and observing systems M. Leroy, CIMO ET on SBII&CM.
Meteorological Observatory Lindenberg Results of the Measurement Strategy of the GCOS Reference Upper Air Network (GRUAN) Holger Vömel, GRUAN.
March 8, 2005 Calibration and Operation of the Stepped Frequency Microwave Radiometer during the 2005 Hurricane Season Ivan PopStefanija
A novel methodology for identification of inhomogeneities in climate time series Andrés Farall 1, Jean-Phillipe Boulanger 1, Liliana Orellana 2 1 CLARIS.
Arctic Circle 2015, October 16-18, Reykjavík - Iceland MeteoMet Project: Metrology Activities in Ny-Ålesund (Svalbard) Chiara Musacchio Istituto Nazionale.
Morten Karstoft Rasmussen, Danish Technological Institute Metrology for the environment in the Arctic – traceability and data quality for.
Metrology for Extreme Environments Tom Gardiner, NPL Andrea Merlone, INRIM EMPIR Environment Workshop 1 st December 2015, INRIM Welcome to the National.
Carmen García Izquierdo Centro Español de Metrología Proposal of traceable measurements of permafrost temperature by optical.
1 / 22 Deutscher Wetterdienst Lindenberg Meteorological Observatory Richard Assmann Observatory What final GRUAN observations may consist of and look like.
1. What is a thin blanket of air that surrounds the Earth?
Water Energy What is Water energy?
The Earth is surrounded by a thin blanket of air called the atmosphere.
Weather.
Evaluation for China L band radiosonde
MET3220C & MET6480 Computational Statistics
Unit: Water and the Atmosphere Lesson 6: Winds Essential Questions:
Meteorological Instrumentation and Observations
Plans of the GCOS Reference Upper Air Network (GRUAN)
On the accuracy of precipitation measurements in the Arctic
Handbook on Meteorological Observations
Lidar Measurement Accuracy under Complex Wind Flow in Use for Wind Farm Projects Matthieu Boquet, Mehdi Machta, Jean-Marc Thevenoud
Study these weather words!
Weather Stations and Weather Maps
An Analysis of Possibilities of Forecasting the AVISO Agrometeorological Model Input   Münster P. Chuchma F.
Weather.
WEATHER UNIT VOCABULARY
Presentation transcript:

European Metrology Research Program (EMRP) MeteoMet Project (October 2011) WP3. Traceable measurements methods and protocols for ground based meteorological observations. 16 partners from different European countries Objectives: 1.- Improve the reliability of the weather stations measurements 2.- Assure traceability of the weather stations measurements to National Standards

Climate change: 1. Robustness the climate measurements and its uncertainties 2. Metrological traceability of the measurements Limitations: 1.- The mutual influences of several parameters systematic error 2.- There aren’t accurate methods for in-situ calibrations of weather stations (mostly are sort of checks) Today: Conventional calibrations of the weather stations: By comparison Calibration of 1 parameter at a time

1. Influences between parameters Weather stations: sensors T, rh, p, v Reliable uncertainties calculation Study the influence of quantities wind temperature 1.2salinity pressure solar radiation humidity temperature 1.1pressure humidity temperature 1.3pressurewind humidity

1.1. Mutual influence of the parameters. (T, rh, p →T, Rh, p) Performance of the most common sensors of T, rh and p, simulating ≠ T, rh and altitude conditions. T rh p Behaviour with fast changes → Response time of each sensor Stability test ( 0%, 95%) rh (700, 1150) hPa (-40, 50) ºC (0 %, 95 %) rh ( -40, 50) ºC (700, 1150) hPa

1.2.1 Influence of the parameters. (wind speed →T, rh, p) T rh p 1 m/s ≤ v ≤ 40 m/s ≠ wind directions fast changes T = f 1 (v), rh = f 2 (v), p = f 3 (v) f 1, f 2, f 3 → Correction model + uncertainty Uncertainty Tests in 3 wind tunnels

1.2.1 Influence of the parameters. (wind speed →T, p, rh) Wind tunnel built at the Mars Simulation Laboratory (AU) Danish Technological Institute Aim: Use this facility for testing, calibration and comparison of meteorological sensors under a wide range of terrestrial conditions REG 3 Researcher: “Mars simulator” → adapt to earth conditions Extensive modifications of the control system, sensor systems and mechanical design of the facility Characterization of the wind tunnel before its use as chamber for testing the meteorological sensors T rh p v T rh p

Influence of the parameters. (salinity →T, rh, p) It’s not only a cause of malfunctioning It’s also a source of uncertainty Ageing of the sensors in salinity chamber with periodical control calibrations T rh → Stability p Sensors will be cleaned and checked to understand the limits of the possible recovery

Influence of the parameters. (solar radiation →T, rh, p) Protection shield for rain and direct sun radiation - is heated under direct solar radiation - avoids the free movement of fresh air sensor environment ≠ real environment systematic errors Aim: Evaluate the effect of the solar radiation in weather measurements

Mutual influence of the parameters. (solar radiation →T, rh, p) Reference radiation shield has been designed and built -Forced mechanical ventilation -A simulation was performed to make sure that the aspirated air is leaving the shield straight out instead of out downwards -One reference shield will be white and the other one black -Some tests and a comparison with other types of housing (real situation or sun simulator) - Analysis of temperature error data - Development of a temperature model, f( v, radiation, shield ageing, type of housing ) - Proposal of procedures to measure in a harmonizing way with different shields A comparison (1 year) of different housings with reference shield will be done in Spain and Sweden - Same kind of sensors - Continuous readings of T, v, radiation Aging of the shield

1.3. Mutual influence of the parameters. (T, rh, p → wind speed) Anemometers (cup, propeller or ultrasonic) Calibration alone in a laboratoryreliable measurements - Strongly dependence on the surrounding environment (local geography and /or buildings) - Influence of seeding, rain and ice mainly in ultrasonic anemometers Calibration in situ

1.3. Mutual influence of the parameters. (T, rh, p → wind speed) Calibration in-situ: v 1 (40 m) v 2 (10 m) Laser based measurement technique : v 2 = f (v 1 ) - take several days in places with difficult holography -establish a rough relation more reliable and traceable measurements Mathematical model effect of seeding, rain and ice -tested with experimental measurements in wind tunnel controlling seeding, ice growth or rain - tested with experimental measurements in real conditions Calibration ≠ kinds of wind speed anemometers T (10, 40) ºC rh up 90% v (1, 40) m/s ≠ wind directions Danish Technological Institute

2. Accurate methods for weather station calibration Calibration of weather station usually in situ by comparisonweak point [1] Construction of two new chambers specifically designed for the calibration of weather stations -Laboratory facility -Primary climate chamber for traceable in-situ calibrations [1] G. Lopardo, D. Marengo, A. Meda, A. Merlone, F. Moro, F. R. Pennecchi, M. Sardi, “Traceability and online publication of weather station measurements of temperature, pressure, and humidity” Int J Thermophys, (2012) DOI /s The standards, used in in-situ calibration, usually are calibrated in a laboratory without taking into account the influence of the other meteorological quantities. behaviour in laboratory ≠ behaviour in the calibration site.

2. Accurate methods for weather station calibration. Laboratory chamber -Chamber can host different types of weather stations and sensors -Separated and independent control of T, rh, p control within: 0,05 ºC, -40 ºC ≤ T ≤ 50 ºC 100 Pa, 75 kPa ≤ p ≤ 110 kPa accuracy (0,3 % rh, 0,7% rh) (5, 98) % rh, (0, 50) ºC -Will also include a wind generator (0, 30) m/s -Will be designed to contain a solar radiation generator Combined and simultaneous calibration of T, rh and p sensors Study the impact of the interfering quantities on individual calibration curves (T, rh, p)

2. Accurate methods for weather station calibration. Chamber in-situ calibration - Smaller than the laboratory chamber. REG1 Researcher: it will be used at the base of Everest Mount -Separated and Independent control of T, rh, p within: 0,05 ºC, -20 ºC ≤ T ≤ 50 ºC 100 Pa, 50 kPa ≤ p ≤ 110 kPa uncertainty 1.5 % (5, 98) % rh, T (0, 50) ºC -Measurements of T, rh and p, with instruments directly calibrated against primary standards -June 2012 the first prototype was used in a campaign of calibration of meteorological sensors in-situ (Italy). -Final prototype was ended in August 2012 and now is under characterization

Conclusions 1.The activities of the WP3 of the project are focus on the improving the reliability of the measurements of the ground-based meteorological weather stations. 2.The mutual influence of the meteorological quantities is going to be studied. 3.A reference shield has been designed, built and characterized to analyze the impact of the solar radiation to the sensors of surface ground based instruments. A comparison is going to run at two very different meteorological sites to see the influence of the aging shield 4.The influence of the salinity in meteorological measurements is going to be analyzed 5.A new in-situ calibration method of anemometers will be developed, where the local holography is taken into account. A new mathematical model will tell us the influence the seeding, rain and ice in wind speed measurements performed by ultrasonic anemometers 6.Two new chambers, specifically designed for the calibration of weather stations and sensors, are under construction. One of them is a laboratory facility and the other one is for in-situ calibrations. The use of both chambers, will increase the reliability of the measurements by means of weather stations