NASA ACE-RadEx Olympex Collaboration

Slides:



Advertisements
Similar presentations
ESTO Advanced Component Technology 11/17/03 Laser Sounder for Remotely Measuring Atmospheric CO 2 Concentrations GSFC CO 2 Science and Sounder.
Advertisements

A Microwave Retrieval Algorithm of Above-Cloud Electric Fields Michael J. Peterson The University of Utah Chuntao Liu Texas A & M University – Corpus Christi.
The NARVAL-North campaign: Postfrontal convective cloud research using the HALO aircraft Felix Ament, Nicole Albern, Stephan Bakan, Felix Erdmann, Lutz.
First Flights of High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) During GRIP Lihua Li, Matt Mclinden, Martin Perrine, Lin Tian, Steve Guimond/
OLYMPEX: A Ground Validation Program on the Olympic Peninsula in the Pacific NW Lynn McMurdie, Bob Houze (University of Washington) Walt Petersen (NASA)
An orographically adjusted GPM precipitation retrieval for NOAA’s QPE over mountainous terrain Dan Bikos, Edward Szoke, Steven Miller, Stanley Kidder,
Cloud Physics Breakout Science Questions/Issues: Driving factors/relative importance of these factors in understanding precipitation formation needs to.
Atmospheric structure from lidar and radar Jens Bösenberg 1.Motivation 2.Layer structure 3.Water vapour profiling 4.Turbulence structure 5.Cloud profiling.
Request to embed a DOW in NASA’s OLYMPEX validation campaign for GPM (Houze) OLYMPEX is a NASA ground validation campaign for the recently launched GPM.
Use of TRMM for Analysis of Extreme Precipitation Events Largest Land Daily Rainfall (mm/day)
The Aerosol Cloud Ecosystem Mission was recommended by the 2007 NRC decadal survey. ACE is presently in pre-formulation and will be realized in some form.
Science Objectives for the ATHENA-OAWL Venture Tech Airborne Mission M. Hardesty CIRES University of Colorado/NOAA S. Tucker and C. Weimer Ball Aerospace.
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.
Overview of the NOAA UAS Requirements and Capabilities Database Matt Lucas NOAA UAS Program TriVector Services, Inc.
NARVAL South Lutz Hirsch, Friedhelm Jansen Sensor Synergy While Radars and Lidars provide excellent spatial resolution but only ambiguous information on.
Dr. Scott Braun Principal Investigator. Hurricane Intensity Is Difficult To Predict Intensity prediction is difficult because it depends on weather at.
The Rapid Intensification of Hurricane Karl (2010): Insights from New Remote Sensing Measurements Collaborators: Anthony Didlake (NPP/GSFC),Gerry Heymsfield.
Water Cycle Breakout Session Attendees: June Wang, Julie Haggerty, Tammy Weckwerth, Steve Nesbitt, Carlos Welsh, Vivek, Kathy Sharpe, Brad Small Two objectives:
Precipitation Retrievals Over Land Using SSMIS Nai-Yu Wang 1 and Ralph R. Ferraro 2 1 University of Maryland/ESSIC/CICS 2 NOAA/NESDIS/STAR.
Estimation of Cloud and Precipitation From Warm Clouds in Support of the ABI: A Pre-launch Study with A-Train Zhanqing Li, R. Chen, R. Kuligowski, R. Ferraro,
A NASA / NSF / NRL airborne field campaign focusing on atmospheric composition, chemistry, and climate over Southeast Asia. Programmatic Context, Issues.
Cloud Science Goals for SEAC 4 RS Cirrus Microphysical Composition, Remote Sensing (ACE), Radiative Properties & Fluxes => Aged and fresh cirrus anvils.
Developed for elementary school audiences to help them learn about NASA’s upcoming ground validation campaign, OLYMPEX. October 2015 Dorian Janney GPM.
Frank J. LaFontaine 1, Robbie E. Hood 2, Courtney D. Radley 3, Daniel J. Cecil 4, and Gerald Heymsfield 5 1 Raytheon Information Solutions, Huntsville,
Developed for Secondary School audiences to help them learn about NASA’s upcoming Ground Validation Campaign, the Olympic Mountain Experiment (OLYMPEX)
A NASA / NSF / NRL airborne field campaign focusing on atmospheric composition, chemistry, and climate over Southeast Asia. Programmatic Context, Issues.
Evaluation of Passive Microwave Rainfall Estimates Using TRMM PR and Ground Measurements as References Xin Lin and Arthur Y. Hou NASA Goddard Space Flight.
Improvement of Cold Season Land Precipitation Retrievals Through The Use of Field Campaign Data and High Frequency Microwave Radiative Transfer Model IPWG.
SEAC4RS Hurricane Study Brief Description of SEAC4RS Science Objectives of SEAC4RS Hurricane Component How both experiments can benefit Sample flight plans.
Summary of GOES-R Activities at CIMSS/ASPB and Recommendations for the Future Steven Ackerman, Tom Achtor GOES-R Algorithm Working Group GOES-R Algorithm.
CLOUD PHYSICS LIDAR for GOES-R Matthew McGill / Goddard Space Flight Center April 8, 2015.
Comparison of Oceanic Warm Rain from AMSR-E and CloudSat Matt Lebsock Chris Kummerow.
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.
1 Recommendations from the 2 nd GOES-R Users’ Conference: Jim Gurka Tim Schmit NOAA/ NESDIS Dick Reynolds Short and Associates.
Earth Observing Satellites Update John Murray, NASA Langley Research Center NASA Aviation Weather Satellites Last Year NASA’s AURA satellite, the chemistry.
Jetstream 31 (J31) in INTEX-B/MILAGRO. Campaign Context: In March 2006, INTEX-B/MILAGRO studied pollution from Mexico City and regional biomass burning,
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
The Aerosol Cloud Ecosystem Mission was recommended by the 2007 NRC decadal survey. ACE is presently in pre-formulation and will be realized in some form.
SeaWiFS Views Equatorial Pacific Waves Gene Feldman NASA Goddard Space Flight Center, Lab. For Hydrospheric Processes, This.
An Outline for Global Precipitation Mission Ground Validation: Building on Lessons Learned from TRMM Sandra Yuter and Robert Houze University of Washington.
Session 2 Conclusion: Future Product Development Activities Science Advisory Committee Meeting 26 – 28 August, 2014 National Space Science and Technology.
Cloud Science Goals for SEAC 4 RS Knowledge of Cirrus Microphysical Composition (IWC, N i (r), habit) => Basic knowledge/models & remote sensing Spatial.
Cloud Science Traceability Matrix David Starr, NASA Goddard Space Flight Center ACE Study Lead Scientist Cloud Team Lead: Jay Mace, University of Utah.
The study of cloud and aerosol properties during CalNex using newly developed spectral methods Patrick J. McBride, Samuel LeBlanc, K. Sebastian Schmidt,
GPM Mission Overview and Status
Principal Investigator: Eni G. Njoku
Multi-Frequency Radar/Passive Microwave retrievals of Cold Season Precipitation from OLYMPEX data Frederic Tridon1, Alessandro Battaglia1,2, Joe Turk3,
UND Citation Aircraft OLYMPEX Data
Structure of the general part
NASA/US Ocean Satellite Missions
RENISH THOMAS (GPM) Global-Precipitation- Mapper
OLYMPEX breakout session
Developing an OSSE Testbed at NASA/SIVO
ER-2 Radars During RADEX/OLYMPEX
Andrew Heymsfield and Aaron Bansemer, NCAR
ACE Objectives and Targets for OLYMPEX/RADEX
Jianbo Liu Characterizing Global Precipitation Patterns Using Results from CloudSat Jianbo Liu
Ed Zipser, University of Utah with contributions from
Horizontally Oriented Ice and Precipitation in Maritime Clouds Using CloudSat, CALIOP, and MODIS Observations Alexa Ross Steve Ackerman Robert Holz University.
GEO-CAPE to TEMPO GEO-CAPE mission defined in 2007 Earth Science Decadal Survey Provide high temporal & spatial resolution observations from geostationary.
CHUVA Project CHUVA - Cloud processes of tHe main precipitation systems in Brazil: A contribUtion to cloud resolVing modeling and to the GPM (GlobAl Precipitation.
NPOESS Airborne Sounder Testbed (NAST)
Matt Lebsock Chris Kummerow Graeme Stephens Tristan L’Ecuyer
OLYMPEX An “integrated” GV experiment
OLYMPEx Precipitation
Aircraft PSD Studies Using UND Citation Data
Fourth International Workshop on Space-based Snowfall Measurement
SnowEx: a NASA airborne campaign leading to a snow satellite mission
Generation of Simulated GIFTS Datasets
JDS international seminar
Presentation transcript:

NASA ACE-RadEx Olympex Collaboration Jay Mace Roger Marchand, Tristan L’Ecuyer, Matt Lebsock, Derek Posselt, Joe Munchak, Simone Tanelli, Gerry Heymsfield, Joe Turk, Zhuocan Xu, Adrian Loftus, Tim Lang

A Step Towards a Solution: Integrated multi-platform observing systems – The A-Train NASA A-Train ACE was conceived by the 2007 Decadal Survey as the follow-on to the A-Train..

ACE Algorithm Development Activities Goal: Explore the trade space defined by science objectives, technology, and instrument suite complexity – achieve baseline science goals for minimum cost. Presently, ACE-like data sets or retrieval algorithms don’t exist. It is therefore difficult to demonstrate capability or explore trade space. The RADar Definition Experiment (RADEX) was conceived to develop super-ACE remote sensing data sets supported by in situ validation. 1) Demonstrate the capability of super synergy for simultaneously characterizing cloud and precipitation microphysical processes. 2) Characterize the instruments needed to achieve basic science goals. GPM validation activities presented a significant opportunity to leverage assets IPHEX in Spring 2014. Target warm shallow marine clouds. Olympex, Contributed ER2 with super ACE package (CRS, HiWrap – triple freq Doppler radars, AMPR, HSRL, eMAS, Polarimeter).

superpod, (unpressurized aft) ER-2 Payload for RADEX - OLYMPEX eMAS VIS-IR imager (not hyperspectral) EXRAD (X-band radar) AirMSPI (VIS-SWIR multiangle imaginging polarimeter) nose superpod Q-bay superpod, (unpressurized aft) CPL Lidar Backscatter AMPR Passive Microwave ~ 10-85 GHz Assumptions: Move of CRS from right superpod to left superpod and consolidate a few boxes. HIWRAP Ka/Ku- band radar CRS W-band radar GMI

Summary of ER-2 flights : Most Coordinated with DC-8 (additional Microwave and Scanning Radar) and/or Citation (in situ cloud microphysics). DC8 coordination when attempted was very tight with nearly continuous simultaneous sampling Working with the GPM GV team/UW team was a very positive experience. Target Assessment Overall very positive on the breadth of the sampling heavy sampling of warm conveyor belt (ice phase processes) Limited prefrontal conditions were sampled. Only a few examples of embedded frontal convection Post frontal convection was sampled well on 4 flights but particularly well on two flights. … next few slides highlight a few cases/datasets

Highlights: 11/23 Advancing Frontal Rain bands ER2 and DC8 conducted a coordinated flight in an advancing frontal band offshore of the Olympic Peninsula. SW-NE oriented race tracks that were entirely offshore were conducted initially followed by a NW-SE oriented racetrack that had NPOL on SE end. Citation conducted two flights. Early flight was conducted under the NE end of the early race tracks. Second flight was near the SE end of the later racetrack. DC8 and ER2 Racetracks Advancing Frontal Rainbands Citation Spiral

Highlights: 12/04 Cold Air Cumulus

Highlights: 12/04 Cold Air Cumulus

Ongoing RADEX Research: L’Ecuyer: analyzing the HIWRAP + CRS data from both RADEX deployments with an eye toward defining sensitivity, vertical, and spatial resolution requirements Lebsock/Leinonen/Storer: Exploring 3-frequency snowfall retrievals and footprint deconvolution techniques Munchak: Multi instrument, multi-platform inverse and forward modeling during OLYMPEX/RADEX Posselt/Mace/Xu: Applying Markov Chain Monte Carlo techniques to retrieval algorithm development to explore instrument/science trade space in ACE-like data sets Marchand: Using high resolution Polarimeter and imager data to define potential for next generation cloud and aerosol interaction studies.