Snow Measurement 2013 Excellence in Snow Measurement.

Slides:



Advertisements
Similar presentations
Real-time Data Collection in Flood Warning Systems
Advertisements

Smart heat for comfort and safety 1 Self-regulating system to maintain water flow in gutters and downpipes.
C2 NWS Snow Model. C2 Snow Model Terms  SWE - Snow water equivalent  AESC - Areal extent of snow cover  Heat Deficit - Energy required to bring the.
Comparison between temperature sensors in plastic, aluminium shields and “Stevenson” screen Franco Stravisi, Stefano Cirilli (University of Trieste, Dept.
SMART TEMPERATURE SENSOR digital temperature sensor
ULTRASONIC WATER AND FLOW METERS
Autonomous Remote Sensing of Water Level and Waves
Total Precipitation Gauge (TPG)
Properties of cast resin transformers
Open Channel Flow Panel Meters The materials included in this compilation are for the use of Dwyer Instruments, Inc. potential customers and.
SNOW SURVEY, SNOTEL (SNOwpack TELemetry) & SCAN (Soil Climate Analysis Network) Presented at NWS Cold Regions Workshop November , 2004.
Snow Pack Analyser, May Snow Pack Analyser SPA.
Hydrological Services America Excellence in Snow Measurement.
You Can Measure the Benefits… Solid Applied Technologies Sewer Level Monitoring.
The Color Colour of Snow and its Interpretation from Imaging Spectrometry.
Surface Water Balance (2). Review of last lecture Components of global water cycle Ocean water Land soil moisture, rivers, snow cover, ice sheet and glaciers.
Monitoring the hydrologic cycle in the Sierra Nevada mountains.
Sensing Winter Soil Respiration Dynamics in Near-Real Time Alexandra Contosta 1, Elizabeth Burakowski 1,2, Ruth Varner 1, and Serita Frey 3 1 University.
Alpine3D: an alpine surface processes model Mathias Bavay WSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland.
SMOS – The Science Perspective Matthias Drusch Hamburg, Germany 30/10/2009.
Lecture ERS 482/682 (Fall 2002) Snow hydrology ERS 482/682 Small Watershed Hydrology.
Hydrological Modeling FISH 513 April 10, Overview: What is wrong with simple statistical regressions of hydrologic response on impervious area?
Outline Background, climatology & variability Role of snow in the global climate system Indicators of climate change Future projections & implications.
1 Automated Snow Sensor Experiment Overview In 2003, Nolan Doesken (Colorado State Climatologist) was granted funding from Headquarters, to perform testing.
EKT314/4 Electronic Instrumentation
CPC’s U.S. Seasonal Drought Outlook & Future Plans April 20, 2010 Brad Pugh, CPC.
MODELING OF COLD SEASON PROCESSES Snow Ablation and Accumulation Frozen Ground Processes.
HydrometJanuary AMS Short Course on Instrumentation1 HydrometeorologicalMeasurements Melanie A. Wetzel Desert Research Institute University of.
GPSonde M2K2 (WMO Code 56) Patrick CHARPENTIER - Rémy PEPIN MODEM - France ET-UASI Geneva – March 2004.
Maraco Inc What Is GasPal? 2.
Distinct properties of snow
INDUSTRIAL AUTOMATION FROM ONE PROVIDER EAST ELECTRIC 1 SYSTEMINTEGRATOR & SALES PARTNER.
These notes are provided to help you pay attention IN class. If I notice poor attendance, fewer notes will begin to appear on these pages Snow Measuring.
Environmental Monitoring for Hydro-Power Generating Group Name: WG#1 Source: Kerry-Lynn Gauci, Inmarsat, Meeting Date:
Recent advances in remote sensing in hydrology
Retrieving Snowpack Properties From Land Surface Microwave Emissivities Based on Artificial Neural Network Techniques Narges Shahroudi William Rossow NOAA-CREST.
1 Drainage and Environment, Results of the Monitoring of Non Point Source Pollution Viesturs Jansons Department of Environmental Engineering and Water.
Passive Microwave Remote Sensing
Russian proposals to Scientific program of Hydrometeorological observatory in framework of meteorological and radiation measurements (prepared by A. Makshtas)
RESULTS OF RESEARCH RELATED TO CHARIS IN KAZAKHSTAN I. Severskiy, L. Kogutenko.
Typical product developments and applications JF Daucourt Product Development & Quality Manager.
RQ-30, General training data and information, 2011, V001, © Sommer GmbH & Co. KG, Exclusion: Subject to deliverability, technical changes and errors excepted.
Understanding Glacier Characteristics in Rocky Mountains Using Remote Sensing Yang Qing.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
Marshall Earle, Ph.D., Principal Investigator Mike Brown, Lead Electrical Engineer Jeffrey Gallagher, Electrical Engineer (Bill Hughes, Lead Mechanical.
Understanding hydrologic changes: application of the VIC model Vimal Mishra Assistant Professor Indian Institute of Technology (IIT), Gandhinagar
DTerEST, DTerIdF PAGE 1 Task 1 : to assess the refreshing potential of a VGR Task 2 : to develop relevant indicators dedicated to VGR environmental impacts.
Monitor CE52SR3 SANYO Sales & Marketing Europe GmbH.
Ultrasonic Level Transmitters The materials included in this compilation are for the use of Dwyer Instruments, Inc. potential customers and.
1 National HIC/RH/HQ Meeting ● January 27, 2006 version: FOCUSFOCUS FOCUSFOCUS FOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS FOCUSFOCUS.
DATA ACQUISITION DATA PROCESSING DATA MODELLING VALUE ADDITION JOURNEY OF RTDSS FROM DATA COLLECTION TO DECISION MAKING 4.
Snow Pack Analyser, March Snow Pack Analyser SPA.
Series RHP Temperature and Humidity Transmitter The materials included in this compilation are for the use of Dwyer Instruments, Inc. potential.
The changing contribution of snow to the hydrology of the Fraser River Basin Do-Hyuk “DK” Kang 1, Xiaogang Shi 2, Huilin Gao 3, and Stephen J. Déry 1 1.
Name Of The College & Dept
Student’s Name with USN No.
Performance Comparison of an Energy- Budget and the Temperature Index-Based (Snow-17) Snow Models at SNOTEL Stations Fan Lei, Victor Koren 2, Fekadu Moreda.
EVALUATION OF A GLOBAL PREDICTION SYSTEM: THE MISSISSIPPI RIVER BASIN AS A TEST CASE Nathalie Voisin, Andy W. Wood and Dennis P. Lettenmaier Civil and.
An advanced snow parameterization for the models of atmospheric circulation Ekaterina E. Machul’skaya¹, Vasily N. Lykosov ¹Hydrometeorological Centre of.
Improve your skills on soil and water research q-SENSE Multi 100 © ETC october 2012.
Passive Microwave Remote Sensing
Linescanner MP150 Infrared Temperature Measurement for Quality Control and Process Automation Raytek Confidential 10/2010, Rev. B.
CANOVATE MOBILE (CONTAINER) DATA CENTER SOLUTIONS
5708 Models and Peripherals
SIGENTICS HV Series S-modyn
A transformer is a complex protective object
Snowmelt runoff generation Snowmelt modeling
Kostas M. Andreadis1, Dennis P. Lettenmaier1
Pressure Level Sensor OTT PLS
Controlling Sensors Efficiently with MCUs
Presentation transcript:

Snow Measurement 2013 Excellence in Snow Measurement

Agenda »Introduction »Snow height sensor - USH-8 »Snow Water Equivalent sensor - SSG »Snow Pack Analyser – SPA General Product Presentation

Introduction For more than 25 years Sommer GmbH has developed and produced high quality sensors for meterological, hydrological and geological applications. Since 1989 Sommer has put a special focus on snow measurement and avalanche warning systems and developed robust sensors for determination of »Snow height »Snow temperature »Snow water equivalent »Liquid water content in snow pack »Snow melt-off prediction Snow Measurement

Introduction » Snow covers more than 60% of the Northern hemisphere » Snow is an important freshwater resource » Water will be more and more valuable » Environmental damages - flood management, avalanche service Snow Measurement

Introduction Snow Measurement

Introduction 6 Snow Measurement 2013 air temperature and humidity snow surface temperature (infrared) solar panel snow depth (ultrasonic) global radiation lightning protection measurement system enclosure GSM / GPRS antenna (radio transmission) snow temperature profile (snow-covered) SWE sensor (snow-covered)

USH-8 SNOW DEPTH SENSOR 7 Snow Measurement 2013

USH-8 Snow Depth Sensor »Continuous and contact-free ultrasonic snow depth sensor »Designed for extreme conditions »Robust sealed ceramic membrane »Correct measurement during snowfall and snow drift »Protective shield against icing »Integrated lightning protection »High measuring accuracy due to integrated temperature compensation »Energy-saving sensor operation »Standby“ between measuring phases »Ideal for solar-powered stations »Simple sensor integration »Analogue and digital interface Snow Measurement

USH-8 Snow Depth Sensor Interface »Analog: »Output: Snow depth »4 - 20mA (configurable) »Max. load 300 Ω »Digital: »Output: Snow depth, air temp., quality flag »Connection via RS 232 »Various ASCII formats supported Snow Measurement

USH-8 Snow Depth Sensor 10 Snow Measurement 2013 H (m)Ø (m)DB (m) 20,4 1,0 30,6 1,2 40,8 1,4 51,1 1,6 61,3 1,8 71,5 2,0 81,7 2,2

USH-8 Snow Depth Sensor 11 Snow Measurement 2013

SSG – SNOW WATER EQUIVALENT SENSOR 12 Snow Measurement 2013

SSG – SWE Sensor »Continuous measurement of Snow-Water-Equivalent (SWE) »Minimization of ice bridging effects »Optimized thermal flow between sensor and ground due to perforated aluminium sheets, providing high accuracy during the melting process »Robust and long life aluminum construction »Measure up to 200 / 500 / / 2000 mm of SWE »No antifreeze liquid required »Simple system integration »No preparation of the measuring site required Snow Measurement

SSG – SWE Sensor »Higher accuracy during melting process compared to snow pillow. Snow Measurement

SSG – SWE Sensor 15 Snow Measurement 2013 Modular construction, no part heavier than 10 kg

SPA – SNOW PACK ANALYSER 16 Snow Measurement 2013

SPA – Snow Pack Analyser »The Snow Pack Analyser is a unique system for automatic and continuous measurement of all relevant snow parameters. »Snow depth »Snow density »Snow water equivalent (SWE) »Content of liquid water and ice »Standard SPA for up to 2m snow height. Others on request Snow Measurement

SPA – Snow Pack Analyser »Automatic, continuous measurement »Energy-saving sensor operation »“Standby“ between the measuring phases »Ideal for solar-powered stations »No measurement errors caused by ice layers »Possible installation at hillsides »System assembly on demand »Information about »the whole snow pack »At a specific snow depth level (with multiple sensors at different heights) »an extended area, by measuring with up to 4 SPA-sensors Snow Measurement

SPA – Snow Pack Analyser SPA Measurement Príncipe »Three components of snow are determined: »Ice »Liquid water »Air »The dielectric constant between ice, water and air is different »The dielectric constant is determined by complex impedance measurements Snow Measurement

SWE from SPA and snow pillow 20 Snow Measurement 2013

SWE from SPA and new snow 21 Snow Measurement 2013

Snow density at 10 cm near ground 22 Snow Measurement 2013

Run-off prediction 23 Snow Measurement 2013 Point A »Snow compression starts »SWE constant Point B »Significant increase of liquid water content prior to the start of the run-off AB Point C »Run-off starts »SWE decreases C

SPA – Snow Pack Analyser Snow Measurement » Forecast of water capacity from snow melt and run-off » Flood prevention » Management of hydro power resources » Liquid water content » Prediction of wet snow avalanches » Flood prediction » Large areal resolution » Calibration of remote sensing data » Calibration of numeric models

SPA – Snow Pack Analyser 25 Snow Measurement 2013

26 Snow Measurement 2013 Thank you for your attention! Wolfram Sommer Matthias Kaufmann CEODirector International Sales