Andrew Heymsfield and Aaron Bansemer, NCAR

Slides:



Advertisements
Similar presentations
Robin Hogan, Chris Westbrook University of Reading Lin Tian NASA Goddard Space Flight Center Phil Brown Met Office Why it is important that ice particles.
Advertisements

The time-dependent two-stream method for lidar and radar multiple scattering Robin Hogan (University of Reading) Alessandro Battaglia (University of Bonn)
Robin Hogan, Chris Westbrook University of Reading Lin Tian NASA Goddard Space Flight Center Phil Brown Met Office The importance of ice particle shape.
Modelling radar and lidar multiple scattering Modelling radar and lidar multiple scattering Robin Hogan The CloudSat radar and the Calipso lidar were launched.
Cloud Radar in Space: CloudSat While TRMM has been a successful precipitation radar, its dBZ minimum detectable signal does not allow views of light.
A Microwave Retrieval Algorithm of Above-Cloud Electric Fields Michael J. Peterson The University of Utah Chuntao Liu Texas A & M University – Corpus Christi.
First Flights of High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) During GRIP Lihua Li, Matt Mclinden, Martin Perrine, Lin Tian, Steve Guimond/
Water vapor estimates using simultaneous S and Ka band radar measurements Scott Ellis, Jothiram Vivekanandan NCAR, Boulder CO, USA.
“OLYMPEX” Physical validation Precipitation estimation Hydrological applications Field Experiment Proposed for November-December th International.
Equation for the microwave backscatter cross section of aggregate snowflakes using the Self-Similar Rayleigh- Gans Approximation Robin Hogan ECMWF and.
Seminar, National Taiwan University, Taipei, 15 April 2011 Robert Houze University of Washington The tropical convective cloud population.
Global Ice Sheet Mapping Orbiter Understand the polar ice sheets sufficiently to predict their response to global climate change and their contribution.
Hydrometeors Injected into the Large-scale Environment by Tropical Cloud Systems Robert A. Houze & Courtney Schumacher Co-PIs ARM Science Team Meeting,
Understanding Atmospheric Heating in the GPM Era Robert Houze University of Washington 6 th GPM International Planning Workshop, 6-8 November 2006, Annapolis,
/5/2001 GPM Planning Workship Ka-band Radar for GPM: Issues Toshio Iguchi Communications Research Laboratory The Global Precipitation Mission Planning.
Spaceborne Weather Radar
Spaceborne Radar for Snowfall Measurements
Bryan A. Baum 1, Ping Yang 2, Andrew J. Heymsfield 3, and Sarah Thomas 4 1 NASA Langley Research Center, Hampton, VA 2 Texas A&M University, College Station,
Bastiaan van Diedenhoven (Columbia University, NASA GISS) Ann Fridlind, Andrew Ackerman & Brian Cairns (NASA GISS) An investigation of ice crystal sizes.
G O D D A R D S P A C E F L I G H T C E N T E R Status of the HIWRAP and URAD Conical Scan Radars for Wind Measurements Gerald Heymsfield NASA/Goddard.
Testing of V1. GPM algorithm of rainfall retrieval from microwave brightness temperatures - preliminary results using TRMM observations Chuntao Liu Department.
EarthCARE and snow Robin Hogan University of Reading.
Radar Remote Sensing Microphysical Processes? Feasibility using In Situ Data from SEAC4RS and TC4 Jay Mace Measurement Provided by: Simone Tanelli, Paul.
IGARSS July Thresholds of Detection for Falling Snow from Satellite-Borne Active and Passive Sensors IGARSS 2011 Vancouver, Canada Gail Skofronick.
Water Cycle Breakout Session Attendees: June Wang, Julie Haggerty, Tammy Weckwerth, Steve Nesbitt, Carlos Welsh, Vivek, Kathy Sharpe, Brad Small Two objectives:
NASA GRIP 2010 Brief status report Ed Zipser, Univ. of Utah, Salt Lake City, UT on behalf of the GRIP Science Team.
USE OF PRECIPITATION INFORMATION FROM SPACEBORNE RADAR FOR VERIFICATION AND ASSIMILATION IN THE ECMWF MODEL A.Benedetti, P. Lopez, E. Moreau, P. Bauer,
Canada Global Precipitation Mission Paul Joe Meteorological Service of Canada.
1 Development Of Space-borne Rain Radar In China: The First Results From Airborne Dual- Frequency Rain Radar Field Campaign Hu Yang, Honggang Yin, Jian.
Second International Workshop on Space-based Snowfall Measurement 31 March - 4 April 2008 Steamboat Ski Village, Colorado Organizing Committee Ralf Bennartz.
Towards parametrized GEC current sources for the CESM model FESD project meeting February 2014 Wiebke Deierling, Andreas Baumgaertner, Tina Kalb.
A Global Kalman Filtered CMORPH using TRMM to Blend Satellite Rainfall Robert Joyce NOAA/NCEP/CPC Wyle Information Systems Pingping Xie NOAA/NCEP/CPC John.
2nd International GPM GV Workshop Taipei, Taiwan, September 27-29, 2005 Characteristics of Convective Systems Observed During TRMM-LBA Rob Cifelli, Steve.
“High resolution ensemble analysis: linking correlations and spread to physical processes ” S. Dey Supervisors: R. Plant, N. Roberts and S. Migliorini.
Improvement of Cold Season Land Precipitation Retrievals Through The Use of Field Campaign Data and High Frequency Microwave Radiative Transfer Model IPWG.
Relationships between lightning flash rates over the tropics and subtropics and the vertical structures of precipitation radar reflectivity Chuntao Liu.
Hurricane Karl’s landfall as seen by high-resolution radar data and WRF Jennifer DeHart and Robert Houze Cyclone Workshop NASA grants: NNX13AG71G.
CRL’s Planned Contribution to GPM Harunobu Masuko and Toshio Iguchi Applied Research and Standards Division Communications Research Laboratory 4-2-1, Nukkui-kita-machi,
Challenges and Strategies for Combined Active/Passive Precipitation Retrievals S. Joseph Munchak 1, W. S. Olson 1,2, M. Grecu 1,3 1: NASA Goddard Space.
Liang Liao Goddard Earth Sciences & Technology Research Morgan State University Greenbelt, MD Robert Meneghini NASA/Goddard Space Flight Center Greenbelt,
JAPAN’s GV Strategy and Plans for GPM
An Outline for Global Precipitation Mission Ground Validation: Building on Lessons Learned from TRMM Sandra Yuter and Robert Houze University of Washington.
Robin Hogan Anthony Illingworth Marion Mittermaier Ice water content from radar reflectivity factor and temperature.
1 Current and planned research with data collected during the IFEX/RAINEX missions Robert Rogers NOAA/AOML/Hurricane Research Division.
Developing Winter Precipitation Algorithm over Land from Satellite Microwave and C3VP Field Campaign Observations Fifth Workshop of the International Precipitation.
GPM Mission Overview and Status
Multi-Frequency Radar/Passive Microwave retrievals of Cold Season Precipitation from OLYMPEX data Frederic Tridon1, Alessandro Battaglia1,2, Joe Turk3,
Jennifer DeHart and Robert Houze
University of Illinois OAP Processing Software
ER-2 Radars During RADEX/OLYMPEX
Variations in Raindrop Concentration and Size Distribution on the Olympic Peninsula during the Nov Heavy Rain Event Parsivel-2 Disdrometer at the.
NASA ACE-RadEx Olympex Collaboration
Jianbo Liu Characterizing Global Precipitation Patterns Using Results from CloudSat Jianbo Liu
Andrew Heymsfield and Aaron Bansemer, NCAR Guosheng Liu, FSU
Ed Zipser, University of Utah with contributions from
Methodology for 3D Wind Retrieval from HIWRAP Conical Scan Data:
Jennifer DeHart and Robert Houze Pacific Northwest Weather Workshop
A LATENT HEAT RETRIEVAL IN A RAPIDLY INTENSIFYING HURRICANE
Roughness Correction for Aquarius (AQ) Sea Surface Salinity (SSS) Algorithm using MicroWave Radiometer (MWR) W. Linwood Jones, Yazan Hejazin Central FL.
Overview of USWRP’s International H2O Project (IHOP_2002)
Microwave Remote Sensing
Matt Lebsock Chris Kummerow Graeme Stephens Tristan L’Ecuyer
OLYMPEX An “integrated” GV experiment
OLYMPEx Precipitation
Aircraft PSD Studies Using UND Citation Data
Validation of Satellite Precipitation Estimates using High-Resolution Surface Rainfall Observations in West Africa Paul A. Kucera and Andrew J. Newman.
OLYMPEX CFAD Analysis S. Brodzik et al.
Citation Data Comparison
Spaceborne Radar for Snowfall Measurements
JDS international seminar
Presentation transcript:

Andrew Heymsfield and Aaron Bansemer, NCAR OLYMPEX Airborne Data Applied to Development of Snowfall Rate-Reflectivity Relationships Andrew Heymsfield and Aaron Bansemer, NCAR Contributors: Mike Poellot, Simone Tanelli, Guosheng Liu, Chuntao Liu, Norm Wood

Objectives Using Citation aircraft data from OLYMPEX, develop relationships between snowfall (rainfall) rate and radar reflectivity that apply to W, Ka and Ku bands Relate APR3 W, Ka and Ku band reflectivities to snowfall (rainfall) rates derived from in-situ aircraft data for times when the ER-2 and Citation aircraft are within 2 km of each other Compare these relationships to developed from retrieval products from CloudSat, GPM TRMM processed data sets. Discuss preliminary results from the forward-modeling “challenge” project.

Evaluate Forward Calculated Radar Reflectivity for Rain No assumption about particle mass Non-Rayleigh effects relatively small # 1-sec collocations: 4807

# 1-sec collocations= 13377

Rainfall Rates, derived for P=1000 hPa

Snowfall rates Derived for P=1000 hPa

GCPEX Forward Model Evaluation APR2-Citation Collocations Sent Investigators PSDs, they forward- Modeled Ze

Summary and Conclusions OLYMPEX airborne observations are a rich source of data for developing and evaluating spaceborne radar retrieval algorithms Snowfall rates from retrievals are low relative to those developed here Will now send out OLYMPEX data to investigators to do an evaluation of their forward models I will discuss “representativeness” of OLYMPEX observations tomorrow

Feedback: Privacy Policy Feedback
Do Not Sell My Personal Information
About project: SlidePlayer Terms of Service

© 2025 SlidePlayer.com. Inc. All rights reserved.