MEIDEX – MEDITERRANEAN ISRAELI DUST EXPERIMENT FOR THE FIRST ISRAELI ASTRONAUT FLIGHT An experiment on board the shuttle within the Hitchhiker program.

Slides:



Advertisements
Similar presentations
Radiative Transfer Dr. X-Pol Microwave Remote Sensing INEL 6669
Advertisements

Lecture 12 Content LIDAR 4/15/2017 GEM 3366.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
A Dictionary of Aerosol Remote Sensing Terms Richard Kleidman SSAI/NASA Goddard Lorraine Remer UMBC / JCET Short.
Remote sensing in meteorology
The Mediterranean Israeli Dust Experiment (MEIDEX) Joachim H. Joseph, Zev Levin, Yuri Mekler, Adam Devir, Eliezer Ganor, Peter Israelevich, Edmund Klodzh,
Remote Sensing of Mesoscale Vortices in Hurricane Eyewalls Presented by: Chris Castellano Brian Cerruti Stephen Garbarino.
Spectroscopy of Stratospheric Molecular O3
Climate, Meteorology and Atmospheric Chemistry.
ESTEC July 2000 Estimation of Aerosol Properties from CHRIS-PROBA Data Jeff Settle Environmental Systems Science Centre University of Reading.
An Introduction to Using Angular Information in Aerosol Remote Sensing Richard Kleidman SSAI/NASA Goddard Lorraine Remer UMBC / JCET Robert C. Levy NASA.
Solar Energy & the Atmosphere
TROPOSPHERE The troposphere is the lowest layer of Earth's atmosphere. The troposphere starts at Earth's surface and goes up to a height of 7 to 20 km.
Satellite basics Estelle de Coning South African Weather Service
Satellite Imagery ARSET Applied Remote SEnsing Training A project of NASA Applied Sciences Introduction to Remote Sensing and Air Quality Applications.
Visible Satellite Imagery Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality A project of NASA Applied Sciences Week –
An Overview of Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences Originally presented as part.
Metr 415/715 Monday May Today’s Agenda 1.Basics of LIDAR - Ground based LIDAR (pointing up) - Air borne LIDAR (pointing down) - Space borne LIDAR.
Stratosphere Troposphere
Satellite Imagery and Remote Sensing NC Climate Fellows June 2012 DeeDee Whitaker SW Guilford High Earth/Environmental Science & Chemistry.
MEIDEX D - 1 MEIDEX – Operational Philosophy IAF Space Branch Major Meir Moalem.
Unit 4 Lesson 5 Weather Maps and Weather Prediction
Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.
An Introduction to Using Spectral Information in Aerosol Remote Sensing Richard Kleidman SSAI/NASA Goddard Lorraine Remer UMBC / JCET Robert C. Levy NASA.
Desert Aerosols By: Michelle Alvarado William Cullen Bryant High School NASA COSI Outreach Program Mentors: Prof. Jeffrey C. Steiner, Earth and Atmospheric.
October 29-30, 2001MEIDEX - Crew Tutorial - Calibration F - 1 MEIDEX – Crew Tutorial Calibration of IMC-201 Adam D. Devir, MEIDEX Payload Manager.
Lecture 6 Observational network Direct measurements (in situ= in place) Indirect measurements, remote sensing Application of satellite observations to.
Sponsors: National Aeronautics and Space Administration (NASA) NASA Goddard Space Flight Center (GSFC) NASA Goddard Institute for Space Studies (GISS)
The Role of Aerosols in Cloud Growth, Suppression, and Precipitation: Yoram Kaufman and his Contributions  Aerosol optical & microphysical properties.
Coordinated Global Measurements of TLE from the Space Shuttle and Ground Stations during MEIDEX Yoav Yair 1, Colin Price, Zev Levin, Peter Israelevitch,
NCKU UCB Tohoku ISUAL / ROCSAT-2 August 2001 Sprites observation by ISUAL on the ROCSAT-2 satellite J. L. Chern, R. R. Hsu, H. T. Su, A. B. Chen, and L.
1 of 26 Characterization of Atmospheric Aerosols using Integrated Multi-Sensor Earth Observations Presented by Ratish Menon (Roll Number ) PhD.
MEIDEX – MEDITERRANEAN ISRAELI DUST EXPERIMENT - A SPACE, AIR AND GROUND BASED STUDY OF DESERT AEROSOL Z. Levin, J. Joseph, Y. Mekler, P. Israelevich,
GE0-CAPE Workshop University of North Carolina-Chapel Hill August 2008 Aerosols: What is measurable and by what remote sensing technique? Omar Torres.
Coordinated Measurements of Transient Luminous Events - SPRITES – from the Space Shuttle and Ground Stations during MEIDEX Zev Levin, Yoav Yair, Colin.
The Atmosphere: Energy Transfer & Properties Weather Unit Science 10.
The Second TEMPO Science Team Meeting Physical Basis of the Near-UV Aerosol Algorithm Omar Torres NASA Goddard Space Flight Center Atmospheric Chemistry.
Characterization of Aerosols using Airborne Lidar, MODIS, and GOCART Data during the TRACE-P (2001) Mission Rich Ferrare 1, Ed Browell 1, Syed Ismail 1,
Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences NASA ARSET- AQ – EPA Training September 29,
A NASA / NSF / NRL airborne field campaign focusing on atmospheric composition, chemistry, and climate over Southeast Asia. Programmatic Context, Issues.
Fog- and cloud-induced aerosol modification observed by the Aerosol Robotic Network (AERONET) Thomas F. Eck (Code 618 NASA GSFC) and Brent N. Holben (Code.
Timothy Logan University of North Dakota Department of Atmospheric Science.
Data was collected from various instruments. AOD values come from our ground Radiometer (AERONET) The Planetary Boundary Layer (PBL) height is collected.
17.1 Atmosphere Characteristics
Synergy of MODIS Deep Blue and Operational Aerosol Products with MISR and SeaWiFS N. Christina Hsu and S.-C. Tsay, M. D. King, M.-J. Jeong NASA Goddard.
SPRITE OBSERVATIONS DURING MEIDEX Yoav Yair, Colin Price, Zev Levin and Adam Devir Department of Geophysics and Planetary Sciences, Tel Aviv University,
Science of the Aqua Mission By: Michael Banta ESS 5 th class Ms. Jakubowyc December 7, 2006.
0 0 Robert Wolfe NASA GSFC, Greenbelt, MD GSFC Hydrospheric and Biospheric Sciences Laboratory, Terrestrial Information System Branch (614.5) Carbon Cycle.
Jetstream 31 (J31) in INTEX-B/MILAGRO. Campaign Context: In March 2006, INTEX-B/MILAGRO studied pollution from Mexico City and regional biomass burning,
Within dr, L changes (dL) from… sources due to scattering & emission losses due to scattering & absorption Spectral Radiance, L(, ,  ) - W m -2 sr -1.
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Image: MODIS Land Group,
AERONET DRAGON Campaign, Summer 2011 Christina Justice College Park Scholars – Science & Global Change Program Environmental Science and Policy
GSFC/Spinhirne 03/13/2002 Multispectral and Stereo Infrared Cloud Observations by COVIR (Compact Visible and Infrared Imaging Radiometer) J. Spinhirne,
טקס העברת שרידי מערכת הניסוי "מיידקס" “MEIDEX” experiment handover ceremony כנס החלל הבינלאומי השנתי ה – 11 ע"ש אילן רמון, The 11 th Annual Ilan.
New Aerosol Models for Ocean Color Retrievals Zia Ahmad NASA-Ocean Biology Processing Group (OBPG) MODIS Meeting May 18-20, 2011.
The Use of Spectral and Angular Information In Remote Sensing
SCM x330 Ocean Discovery through Technology Area F GE.
Unit 4 Lesson 5 Weather Maps and Weather Prediction Copyright © Houghton Mifflin Harcourt Publishing Company.
Climate, Meteorology and Atmospheric Chemistry.
Ocean Sciences The oceans cover 3/4 of the Earth’s surface. They provide the thermal memory for the global climate system, and are a major reservoir of.
UNIT 2 – MODULE 5: Multispectral, Thermal & Hyperspectral Sensing
Balance of Energy on Earth Yumna Sarah Maria. The global energy balance is the balance between incoming energy from the sun and outgoing heat from the.
Atmospheric Applications of Multi- and Hyperspectral Remote Sensing
Unit 4 Lesson 5 Weather Maps and Weather Prediction
Fourth TEMPO Science Team Meeting
GOES visible (or “sun-lit”) image
GAJENDRA KUMAR EC 3rd YR. ROLL NO
Introduction and Basic Concepts
Remote sensing in meteorology
Presentation transcript:

MEIDEX – MEDITERRANEAN ISRAELI DUST EXPERIMENT FOR THE FIRST ISRAELI ASTRONAUT FLIGHT An experiment on board the shuttle within the Hitchhiker program Under an agreement between NASA and ISA (Israeli Space Agency)

WHY STUDY DUST STORMS? Desert dust particles are a major component of natural aerosols in the atmosphere They may help to cool or warm the atmosphere depending on their size and chemical composition They affect clouds and precipitation They are in the right particle size to affect our health being deposited in the lungs They affect mechanical systems (e.g. jet engines, helicopters etc.) They reduce the contrast in remote sensing measurements They affect biological activity in the Ocean

Desert dust particles Dust storm over the Dead Sea Dust in Sahara – view from space Desert dust in Tel Aviv

Non-Absorbing Aerosols in the Atmosphere Major sources and transport routes of the desert dust

The Effects of Dust Particles on Climate They affect climate by changing the dolar albedo – direct effect They affect climate by modifying cloud characteristics – indirect effect They affect rainfall amounts and intensities (dust + sulfate + organic matter)

Other Existing Experiments for Measuring Dust Aerosols MODIS – instrument aboard TERRA satellite – was launched in January 2000 TOMS - aboard Earth Probe satellite – uses UV wavelengths – mostly sensitive to dust at higher altitudes

MEIDEX Science Team Principal Investigators: Prof. Zev Levin Prof. Joachim Joseph Astronauts: Col. Ilan Ramon Lt-Col. Itzhak Mayo Team members: Dr. Adam Devir Dr. Eliezer Ganor Prof. Peter Israelevich Mr. Edmund Klodzh Prof. Yuri Mekler Mr. Meir Moalem Dr. Yoram Noter Mr. David Shtivelman Mr. Amit Teller Dr. Yoav Yair – Project Manager The team consists of scientists from different disciplines: Remote sensing of the atmosphere Radiative transfer Aerosol measurements and analysis Modeling of atmospheric processes Instrumentation for remote sensing and for airborne aerosol sampling

SCIENTIFIC OBJECTIVES DAYTIME PRIMARY EXPERIMENTS : Validate TOMS versus MODIS Sources, Transport, Sinks and Properties of Desert Aerosol over the Mediterranean and Atlantic Ocean Absolute calibration by ground and airborne measurements DAYTIME SECONDARY EXPERIMENTS: Spectral Sea Surface BRDF with emphasis on UV Construct Visual Slant Visibility Model NIGHT TIME EXPERIMENT (TERTIARY): Sprites, Elves and other related phenomena

The Regions of Interest Preferred Seasons: The best season is Spring (March to May) – we are scheduled to fly in spring 2001 The secondary choice is the Fall (September to November)

STS-107 “Space Lab”- 33 Experiments Fast Reaction Experiment Enabling Science, Technology Applications & Research - FREESTAR Primary Experiment: MEIDEX Launch: April 4, 2002

MEIDEX on Xybion IMC- 201 radiometric CCD camera CCD Sensor: 756Hx581V Sensitivity ≥10 -6 fc (~ 0.1 of typical night sky) Spectral range: nm 6 bands: 0.34, 0.38, 0.44, 0.56, 0.66, 0.86 nm Exposure Times: 50 nsec - 4 msec in 50 nsec steps WFOV SEKAI White Light video camera

MEIDEX Optical Bench Mount Cameras are mounted in a 1-axis gimbaled truss Gimbal angular range: ± 22.5 Degrees Scan direction: ± Y FOV Xybion: 16 o (68km at the altitude 256km - about 100m/pixel nominal resolution) FOV SEKAI: 60 o (270 km at the altitude 256 km)

Xybion camera Upper End Plate w/ Quartz Window Gimbal Motor & Worm Drive Worm Gear SEKAI WFOV Camera Lower End Plate Lens & Baffle Xybion Camera Avionics Mount Plate w/ electronics OVERALL MEIDEX CONFIGURATION

1.Wing mounted optical spectrometers (0.1 to 3  m, and 0.3 to 47  m) 2.Isokinetic sampling of aerosol particles on filtered and on EM grids 3.Ram collection of large (>2.5  m) aerosols 4.Two albedometers 5.GPS 6.Temperature sensors Airborne Measurements Flight base: Crete, or Sardinia, or Tenerife Radius: 500 miles

FORECAST Dust Forecast with the TAU_ETA model and TOMS observations for April 23, 2001

SLANT VISIBILITY “VISIBILITY”: Ability of Human Eye to see a reflecting object through a scattering, absorbing and turbulent atmosphere. Depends on Complex Interaction of Multiple Component System: Contrast Threshold of Human Eye, Inherent Spectral Contrast of the Object versus its Background, Atmospheric Spectral Extinction (x,y,h), Atmospheric Turbulence (x,y,h), Geometric Slant Path. IMPOSSIBLE TO CONSTRUCT RELIABLE MODEL BY INFORMATION TRANSFER FROM NON - HUMAN SYSTEMS. Our Experiment: Observation of designated targets along the shuttle footprint as a function of time on a “Yes/No” Basis. Correlation between KNOWN Optical Properties of the Atmosphere and the SUBJECTIVE Detection Capability of the Astronaut’s Eye.

Observations of Sprites Sprite observation by XYBION camera will be carried our over South America and the Tropics (crucial role of the Astronaut) Simultaneous ground observa- tions will be carried out by teams from MIT and from Brazil Measurements of VLF waves (in particular Schumann resonances) from TAU Mitzpe Ramon station will be correlated with the space and ground observations

The MEIDEX Data Acquisition Scheme

OPS ORG & DATA FLOW Surface Obs. AERONET,(GSFC) Huelga, Spain Ilurin, Nigeria Forecast Data NEPC (NOAA) Airport Authority (BG Airport) IAF/MET FORECAST CENTER (TAU) Airport Crew Plane in Flight Dust Sat Obs TOMS SEAWIFS MODIS (GSFC) JSC(Houston) Shuttle POCC (GSFC)

Dr. Y. Kaufman and Staff, GSFC - DA’s, Analysis Dr. B. Holben and Staff, GSFC - AERONET Dr. E. Hilsenrath and Staff, GSFC - –Instrument Optical Properties, Calibrations. Dr. D. Tanre, U. Lille, France - DA’s, CIMEL’s, 6s Dr. Eric Vermote, UMD, US - Changes in 6s Dr. R. Pinker, UMD, US - Calibrations in Nigeria Dr. Victoria Cachorro, U.Valladolid - Calibration Site Prof. P. Alpert, Dr. S. Krichak, Dr. M. Tsidulko, H. Shafir, TAU, Dr. B. Ziv, OU - Dust Forecast Dr. Colin Price, TAU, Prof. Earle Williams, MIT & Many Others - Sprites & Related Measurements. Scientific Cooperation