Jesper Ellerbæk Nielsen 1 of 5 URBANWATER Weather Radar Applications Quantitative Precipitation Estimates Measured by C- and X- Band Radars – The Potential.

Slides:



Advertisements
Similar presentations
1 Ground Based Meteorological Radars Presented By: David Franc NOAAs National Weather Service September 2005.
Advertisements

Præsentation af Aalborg Universitet 1 af 16 SWI workshop Jesper Ellerbæk Nielsen ”Combining C-band and X-band weather radars for accurate precipitation.
A Refresher on Super-Resolution Radar Data Audra Hennecke, Dave Beusterien.
On Estimation of Soil Moisture & Snow Properties with SAR Jiancheng Shi Institute for Computational Earth System Science University of California, Santa.
NEXRAD or WSR-88D [Next Generation Radar] [Weather Surveillance Radar, 1988, Doppler]
Clear air echoes (few small insects) -12 dBZ. Echoes in clear air from insects Common is summer. Watch for echoes to expand area as sun sets and insects.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Monitoring the Quality of Operational and Semi-Operational Satellite Precipitation Estimates – The IPWG Validation / Intercomparison Study Beth Ebert Bureau.
Satellite Rainfall Estimation Robert J. Kuligowski NOAA/NESDIS/STAR 3 October 2011 Workshop on Regional Flash Flood Guidance System—South America Santiago.
© Crown copyright Met Office RAINGAIN Kick-Off Meeting Benefits of High Spatial and Temporal Resolution for Urban Catchments from existing Radars.
Precipitation Over Continental Africa and the East Atlantic: Connections with Synoptic Disturbances Matthew A. Janiga November 8, 2011.
ATS 351 Lecture 8 Satellites
QUANTITATIVE APPLICATIONS OF BROADCAST MEDIA WEATHER RADAR DATA Neil I. Fox Department of Atmospheric Science University of Missouri-Columbia Columbia,
Contrasting Tropical Rainfall Regimes Using TRMM and Ground-Based Polarimetric Radar by S. A. Rutledge, R. Cifelli, T. Lang and S. W. Nesbitt EGU 2009.
The use of radar in evaluating precipitation in LMK and ARPS: two precipitation cases over Belgium 6 March 2007 International PhD-studens and Post-docs.
RHB C-band radar scan strategy constraints Cloud top height less than 1.5 km altitude Features of interest < 5 km in scale Rapid evolution of cells  fast.
1 Radar Displays PPI - Plan position Indicator Maps the received signals on polar coordinates in plan view. The antenna scans 360° at fixed elevation angle.
WHAT IS Z?  Radar reflectivity (dBZ)  Microwave energy reflects off objects (e.g. hydrometeors) and the return is reflectivity WHAT IS R?  Rainfall.
Sonar-Based Real-World Mapping and Navigation by ALBERTO ELFES Presenter Uday Rajanna.
Robert A. Houze University of Washington Robert A. Houze University of Washington Using the TRMM Precipitation Radar for Storm Structure Analysis Precipitation.
Can we use microwave satellite data to monitor inundation at high spatial resolution? Competing issues Passive (high repeat) data have poor (50km) spatial.
Surveillance Weather Radar 2000 AD. Weather Radar Technology- Merits in Chronological Order WSR-57 WSR-88D WSR-07PD.
Spaceborne Weather Radar
Basic RADAR Principles Prof. Sandra Cruz-Pol, Ph.D. Electrical and Computer Engineering UPRM.
1 Gain and Power Gain An isotropic antenna simply beams its energy evenly in all directions The gain is the ratio of the maximum power received from a.
Scott W. Powell and Stacy R. Brodzik University of Washington, Seattle, WA An Improved Algorithm for Radar-derived Classification of Convective and Stratiform.
Cold Land Processes Jared K. Entin May 28 th, 2003.
1 GOES-R AWG Hydrology Algorithm Team: Rainfall Probability June 14, 2011 Presented By: Bob Kuligowski NOAA/NESDIS/STAR.
1 On the use of radar data to verify mesoscale model precipitation forecasts Martin Goeber and Sean Milton Model Diagnostics and Validation group Numerical.
© Crown copyright Met Office Future Upper-Air Network Development (FUND)-Integration TECO 2008 St Petersburg Russia Catherine Gaffard, John Nash, Alec.
Wayne Faas Chief, NOAA National Climatic Data Center Data Operations Division December 3, 2003.
CARPE-DIEM 13/6/02, slide 1German Aerospace Center Microwaves and Radar Institute CARPE-DIEM Besprechung Helsinki, June 2004 Ewan.
Drizzle, Shallow Events Martin Hagen with the help from Elena Saltikoff, Paul Joe and others Deutsches Zentrum für Luft- und Raumfahrt (DLR) Oberpfaffenhofen,
Roma, 5 September 2011 Comparison of spectral characteristics of hourly precipitation between RADAR and COSMO Model.
A Further Look at Q 1 and Q 2 from TOGA COARE* Richard H. Johnson Paul E. Ciesielski Colorado State University Thomas M. Rickenbach East Carolina University.
GAUGES – RADAR – SATELLITE COMBINATION Prof. Eng. Ezio TODINI
Corrections to Scatterometer Wind Vectors from the Effects of Rain, Using High Resolution NEXRAD Radar Collocations David E. Weissman Hofstra University.
Radar Palet e Home Radar Artifacts Radar Palet e Home Radar Artifacts Analysis & Diagnosis 1 Radar Interpretation Problems Reflectivity.
The new DWD polarimetric weather radar network: a new radar data processing framework and new products Michael Frech 1, Nils Rathmann 2, Jörg Steinert.
ATMOS 312 RADAR METEOROLOGY Chapter 1: COURSE OVERVIEW.
Experiment Set-up Fill 2 tubes with 25ml of different soil samples…get third sample from another group… Fill with water to 100ml mark…mix soil and water.
Where are the radars located? What is the radar coverage?
Remote Sensing of Precipitation A Look at Radar Now and in the Future Western South Dakota Hydrology Conference 23 April 2009 Darren R. Clabo Institute.
Reflectivity and Radial Velocity
Part II: Turbulence Signature and Platform Limitations Dan Weber, Frank W. Gallagher, Ken Howard ©2000 Frank W. Gallagher III.
On the Role of Electric Field Changes when Calculating Thunderstorm Currents Yu.V. Shlugaev, V.V. Klimenko, E.A. Mareev Institute of Applied Physics RAS,
EumetCal Examples.
III) CHARACTERISTICS OF THE ADDED CLUTTER RAIN MeteoSvizzera, 6605 Locarno, Switzerland Simulation.
Aspinall Operations Operational Considerations Aspinall Unit Purposes – Water storage / Compact Development – Power Production – Flood Control.
AQUARADAR -D The effects of inhomogeneous rain drop size distributions (DSDs) in a radar volume Vertical structure of DSD profiles Spectral modes of DSDs.
A comparison of cloud microphysics in deep tropical convection forming over the continent and over the ocean Emmanuel Fontaine 1, Elise Drigeard 1, Wolfram.
Task B7. Monitoring and Forecasting for Water Management and Drought/Flood Hazards Goals National scale characterization of snow water resources (Afghanistan’s.
An Outline for Global Precipitation Mission Ground Validation: Building on Lessons Learned from TRMM Sandra Yuter and Robert Houze University of Washington.
JMA Japan Meteorological Agency QPE/QPF of JMA Application of Radar Data Masashi KUNITSUGU Head, National Typhoon Center Japan Meteorological Agency TYPHOON.
Verification of the ARPS Model Forecast of Sea Breeze Related Cloud Systems Jaclyn Shafer Department of Marine and Environmental Systems Florida Institute.
Cloud Top Heights of Cumulonimbi, Thermodynamically Estimated from Objective Analysis Data during the Baiu Season Teruyuki KATO ( Meteorological Research.
REPENTURN July 5, 2015 REPENTURN REPENTURN REPENTURN.
Landsat Satellite Data. 1 LSOS (1-ha) 9 Intensive Study Areas (1km x 1km) 3 Meso-cell Study Areas (25km x 25km) 1 Small Regional Study Area (1.5 o x 2.5.
Travis Smith U. Of Oklahoma & National Severe Storms Laboratory Severe Convection and Climate Workshop 14 Mar 2013 The Multi-Year Reanalysis of Remotely.
Accuracy of Wind Fields in Convective
HARGLO-3: Wind Intercomparisons During IHOP
Weather Radar.
Radar/Surface Quantitative Precipitation Estimation
Radar beam refraction modelling
An overview by: Thomas Jones December 2, 2002
Studying Hector: meteorology and tracer transport
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.
TOWARDS HIGH-RESOLUTION GLOBAL SATELLITE PRECIPITATION ESTIMATION
Introduction 1. Why forecasting is important?
Atmospheric Dynamics Group Themen BSc Seminar HS 2018
Presentation transcript:

Jesper Ellerbæk Nielsen 1 of 5 URBANWATER Weather Radar Applications Quantitative Precipitation Estimates Measured by C- and X- Band Radars – The Potential for Integration

Jesper Ellerbæk Nielsen 2 of 5 URBANWATER Weather Radar Applications Stratiform precipitation – Example 1 09 June 2009 C-band LAWR I case of widespread low-laying precipitation the upper part of the LAWR beam will break out of the precipi- tation quite close to the radar due to the large vertical opening angle. This results in only partly filled sampling volumes and thereby poor observations at longer distances.

Jesper Ellerbæk Nielsen 3 of 5 URBANWATER Weather Radar Applications Stratiform precipitation – Example 2 12 June 2009 I case of widespread low-laying precipita-tion the upper part of the LAWR beam will break out of the precipitation quite close to the radar due to the large vertical opening angle. This results in only partly filled sampling volumes and thereby poor observations at longer distances. C-band LAWR

Jesper Ellerbæk Nielsen 4 of 5 URBANWATER Weather Radar Applications Convective precipitation – Example 1 06 July 2009 In the case of convective precipitation, the vertical extent of the precipitation is much higher and partly filled sampling volumes are no issue for the LAWR radar. In this case, the disadvantage of low spatial resolution for the C-band radar becomes clearer. The LAWR detects the spatial variations within the convective precipitation in more detail. C-band LAWR

Jesper Ellerbæk Nielsen 5 of 5 URBANWATER Weather Radar Applications Convective precipitation – Example 2 07 June 2009 In the case of convective precipitation, the vertical extent of the precipitation is much higher and partly filled sampling volumes are no issue for the LAWR radar. In this case, the disadvantage of low spatial resolution for the C-band radar becomes clearer. The LAWR detects the spatial variations within the convective precipitation in more detail. C-band LAWR

Jesper Ellerbæk Nielsen 6 of 5 URBANWATER Weather Radar Applications

Jesper Ellerbæk Nielsen 7 of 5 URBANWATER Weather Radar Applications

Jesper Ellerbæk Nielsen 8 of 5 URBANWATER Weather Radar Applications

Jesper Ellerbæk Nielsen 9 of 5 URBANWATER Weather Radar Applications