Observability Meeting NRL Monterey, CA April 2010

Similar documents
Future NASA Atmospheric Missions: Adding to the A-Train Calipso OCO NPP CloudSat Glory

The Research Scanning Polarimeter (RSP)

Glory. Key Glory Facts. Summary. Instruments. Points of Contact. Mission Type. Relevant Science Focus Areas (see Research Program section) Launch

Overview of Measured SSI and Its Variability

IAA. 1.9: Aerosol-UA - Satellite remote sensing of aerosols in the Earth atmosphere

Overview Total Irradiance SORCE/TIM observations and database variability components, models, comparisons Spectral Irradiance

The EarthCARE mission: An active view on aerosols, clouds and radiation

Wind Imaging Spectrometer and Humidity-sounder (WISH): a Practical and Effective NPOESS P3I Sensor

Satellite remote sensing of aerosols in the Earth atmosphere

Atmospheric Lidar The Atmospheric Lidar (ATLID) is a high-spectral resolution lidar and will be the first of its type to be flown in space.

Influence of Clouds and Aerosols on the Earth s Radiation Budget Using Clouds and the Earth s Radiant Energy System (CERES) Measurements

Changes in Earth s Albedo Measured by satellite

Chapter 4 Nadir looking UV measurement. Part-I: Theory and algorithm

The Earth Climate Hyperspectral Observatory: Advances in Climate Change Detection, Attribution, and Remote Sensing

First Lunar Results from the Moon & Earth Radiation Budget Experiment (MERBE)

The Orbiting Carbon Observatory (OCO)

Accurate Monitoring of Terrestrial Aerosols and Total Solar Irradiance

Hampton University 2. University of Wisconsin-Madison 3. NASA Langley Research Center

SpexOne for the NASA PACE Mission

Overview and Status of the SORCE

Thermal And Near infrared Sensor for carbon Observation (TANSO) On board the Greenhouse gases Observing SATellite (GOSAT) Research Announcement

MSG system over view

Spectropolarimetry for Earth observations: a novel method for characterisation of aerosols and clouds

Satellite observation of atmospheric dust

Interpretation of Polar-orbiting Satellite Observations. Atmospheric Instrumentation

The Sun-Climate Connection What have we learned during this solar minimum? Robert.F.Cahalan

NASA's Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) mission update

Characterization of the VIIRS Blackbody Emittance

Ground-based Validation of spaceborne lidar measurements

Satellite remote sensing of aerosols & clouds: An introduction

Ground and On-Orbit Characterization and Calibration of the Geosynchronous Imaging Fourier Transform Spectrometer (GIFTS)

The Moon & Earth Radiation Budget Experiment (MERBE)

The History and Future of TSI and SSI Measurements

Thermal Design and Analysis of the BroadBand Radiometer. Oliver Poyntz-Wright (Rutherford Appleton Laboratory, United Kingdom)

NIR Solar Reference Spectrum Algorithm for the Orbiting Carbon Observatory (OCO)

The EarthCARE mission: An active view on aerosols, clouds and radiation

The Compact SIM (CSIM) and Compact TIM (CTIM) Instruments

Ice clouds observed by passive remote sensing :

HARP CubeSat An innovative Hyperangular Imaging Polarimeter for Earth Science Applications

Joint Polar Satellite System. 3 rd Post-EPS User Consultation Workshop Mike Haas

HY-2A Satellite User s Guide

An Observational Study of the Relationship between Cloud, Aerosol and Meteorology in Marine Stratus Regions

The Spectral Radiative Effects of Inhomogeneous Clouds and Aerosols

An Overview of the Radiation Budget in the Lower Atmosphere

THE METOP SECOND GENERATION 3MI MISSION

Remote Sensing How we know what we know A Brief Tour

New capabilities with high resolution cloud micro-structure facilitated by MTG 2.3 um channel

Operational systems for SST products. Prof. Chris Merchant University of Reading UK

Measuring Carbon Dioxide from the A-Train: The OCO-2 Mission

Authors response to the reviewers comments

Solar Insolation and Earth Radiation Budget Measurements

Global observations from CALIPSO

Monitoring CO 2 Sources and Sinks from Space with the Orbiting Carbon Observatory (OCO)

Principles of Radiative Transfer Principles of Remote Sensing. Marianne König EUMETSAT

APPLICATIONS WITH METEOROLOGICAL SATELLITES. W. Paul Menzel. Office of Research and Applications NOAA/NESDIS University of Wisconsin Madison, WI

Study of the Influence of Thin Cirrus Clouds on Satellite Radiances Using Raman Lidar and GOES Data

Spaceborne Atmospheric Boundary Layer Explorer (SABLE)

UKCA_RADAER Aerosol-radiation interactions

Atmospheric Measurements from Space

History of Earth Radiation Budget Measurements With results from a recent assessment

Overview of the SORCE Mission

Traceability to the GIRO and ROLO

Accuracy and Precision Requirements for Climate-Level Data Sets

FLUXNET and Remote Sensing Workshop: Towards Upscaling Flux Information from Towers to the Globe

Atmospheric Correction Using Hyperion

2nd Annual CICS-MD Science Meeting November 6-7, 2013 Earth System Science Interdisciplinary Center University of Maryland, College Park, MD

Case Studies of Aerosol Retrievals over the Ocean from Multiangle, Multispectral Photopolarimetric Remote Sensing Data

Long-Term Time Series of Water Vapour Total Columns from GOME, SCIAMACHY and GOME-2

Launched on May 4, K. Hokusai

Verification of Sciamachy s Reflectance over the Sahara J.R. Acarreta and P. Stammes

SCIAMACHY REFLECTANCE AND POLARISATION VALIDATION: SCIAMACHY VERSUS POLDER

School on Modelling Tools and Capacity Building in Climate and Public Health April Remote Sensing

Characterization of Atmospheric Mineral Dust from Radiometric and Polarimetric Remote Sensing

The NOAA/NESDIS/STAR IASI Near Real-Time Product Processing and Distribution System

THE GLI 380-NM CHANNEL APPLICATION FOR SATELLITE REMOTE SENSING OF TROPOSPHERIC AEROSOL

HICO Science Mission Overview

Status of VIIRS Reflective Solar Bands On-orbit Calibration and Performance

Earth Science Flight Mission Overview

TESTS. GRASP sensitivity. Observation Conditions. Retrieval assumptions ISTINA-WP AERO. MODELS. B. Torres, O. Dubovik and D.

Satellite-based estimate of global aerosol-cloud radiative forcing by marine warm clouds

Polarimetry in the PACE mission. Science Team Consensus Document July 23, 2015

Simulated Radiances for OMI

A Method for MERIS Aerosol Correction : Principles and validation. David Béal, Frédéric Baret, Cédric Bacour, Kathy Pavageau

ESA Cloud-CCI Phase 1 Results Climate Research Perspective

Comparison of Results Between the Miniature FASat-Bravo Ozone Mapping Detector (OMAD) and NASA s Total Ozone Mapping Spectrometer (TOMS)

Condensing Massive Satellite Datasets For Rapid Interactive Analysis

The Compact Infrared Imager and Radiometer

Calibration of Ocean Colour Sensors

Thermal And Near infrared Sensor for carbon Observation (TANSO) onboard the Greenhouse gases Observing SATellite (GOSAT) Research Announcement

Coastal Characterization Using EO-1 Hyperion Data

Overview of the NASA Solar Irradiance Science Team (SIST) Program

On the Satellite Determination of Multilayered Multiphase Cloud Properties. Science Systems and Applications, Inc., Hampton, Virginia 2

Determination of atmospheric temperature, far- infrared hyperspectral measurements

THE LAND-SAF SURFACE ALBEDO AND DOWNWELLING SHORTWAVE RADIATION FLUX PRODUCTS

Emission Limb sounders (MIPAS)

GMES: calibration of remote sensing datasets

Cloud property retrievals for climate monitoring:

CLAVR-x is the Clouds from AVHRR Extended Processing System. Responsible for AVHRR cloud products and other products at various times.

University of Colorado Laboratory for Atmospheric and Space Physics Tom Woods Sun-Climate 2018 Meeting 1

Remote sensing of ice clouds

Transcription:

Hal Maring, Program Scientist Michael Mishchenko, Project Scientist Brian Cairns, APS Scientist Greg Kopp, TIM Scientist Bryan Fafaul, Project Manager Observability Meeting NRL Monterey, CA 27-29 April 2010

The uncertainties in our understanding of TSI and aerosol climate forcings are unacceptably large Effective climate forcings (W/m 2 ) (1880 2003) Hansen et al., Science 308, 1431 1435 (2005)

Glory mission provides timely key data for climate change research The Glory Mission Objectives are to: Quantify the role of aerosols as natural and anthropogenic agents of climate change by flying APS Continue measuring the total solar irradiance to determine its direct and indirect effects on climate by flying TIM

The main function of a satellite aerosol climatology Provide an accurate, reliable, and comprehensive constraint on models in terms of long-term global distributions of aerosol: 1. Optical thickness 2. Size distribution 3. Chemical composition (via refractive index) 4. Single-scattering albedo

Aerosol remote sensing from space is an exceedingly complex problem + cirr + aero

APS science requirements The APS science measurement requirements are driven by the need to be able to estimate and diagnose the radiative forcing caused by aerosols.

Polarization Will Provide More Information About Aerosols Glory APS strategy: exploit the polarization information content of reflected sunlight Classification of passive remote sensing techniques by 1. Spectral range 2. Scattering geometry range 3. Number of Stokes parameters Hierarchy of existing/planned instruments: AVHRR MODIS, MISR, VIIRS Glory APS Glory APS will be a bridge to NPOESS era measurements. I( λ, ) Q( λ, ) U ( λ, ) V ( λ, ) The measurement approach developed for the Glory mission is to use multiangle multi-spectral polarimetric measurements because: Polarization is a relative measurement that can be made extremely accurately. Polarimetric measurements can be accurately and stably calibrated on orbit. The variation of polarization with scattering angle and wavelength allows aerosol particle size, refractive index and shape to be determined.

Polarization is very sensitive to aerosol particle size and refractive index Q/I Scattered intensity (above) weakly depends on particle size and refractive index (not shown), whereas scattered polarization (right) can change not only in magnitude but even in sign with minute changes in radius or refractive index. The contour plots on the right demonstrate why multiangle multi-wavelength measurements of polarization are so sensitive to aerosol microphysics and chemical composition. effective size parameter = 2π*(effective radius)/wavelength

Reduced Sensitivity to Surface Albedo Variability Polarization observations are less affected by the surface and are more sensitive to aerosols than intensity measurements.

Glory APS Specifications Type: Passive multi-angle photopolarimeter Fore-optic: Rotating polarization-compensated mirror assembly scanning along orbit-track +50.5 to 63 (fore-to-aft) from nadir Aft-optic: 6 bore-sighted optical assemblies, each with a Wollaston prism providing polarization separation, beamsplitters & bandpass filters producing spectral separation, and paired detectors sensing orthogonal polarizations Directionality: ~250 views of a scene Approx. dimensions: 60 x 58 x 47 cm Mass/power/data rate: 53 kg / 36 W / 120 kbps Spectral range: 412 2250 nm Measurement specifics: 3 visible (412, 443, 555 nm), 3 near-ir (672, 865, 910 nm), and 3 short-wave IR (1378, 1610, 2250 nm) bands; three Stokes parameters (I, Q, and U) Ground resolution at nadir: 6 km SNR requirements: 235 (channels 1 5, 8, and 9), 94 (channel 6), and 141 (channel 7) Polarization accuracy: 0.0015 at P = 0.2, 0.002 at P = 0.5 Repeat cycle: 16 days APS angular scanning APS spectral channels

Glory APS Data Products aerosol optical thickness (uncertainty of 0.04 or 15%) effective radius (uncertainty of 0.15 μm or 15%) effective variance of the size distribution (uncertainty for spherical aerosols of 0.35 or 60%) refractive index (uncertainty for spherical aerosols of 0.03) single-scattering albedo (uncertainty of 0.04) column number density (uncertainty for spherical aerosols of 40%) shape (placement in one of several qualitative shape categories) for two modes of the aerosol population spectral behavior of the aerosol refractive index and single-scattering albedo cloud optical thickness (uncertainty of 0.2 or 10%) cloud particle effective radius (uncertainty for liquid-water clouds of 2 μm or 15%) effective variance (uncertainty for liquid-water clouds of 0.07 or 50%, whichever is greater) cloud phase (liquid water or solid ice) cloud particle shape (placement in one of several qualitative shape categories) column number density (uncertainty for liquid-water clouds of 40% Level 2 data latency will be 1-3 days

Glory APS challenges Coverage: APS is not an imager like MODIS or MISR 1. Validation 2. Assimilation APS has a relatively large pixel (~6 km at nadir) 1. Cloud contamination is an issue 2. Simultaneous retrieval of aerosols and clouds within the APS footprint? APS microphysical retrievals may be difficult to validate because of their accuracy

Glory in A-Train

Basis of TSI proxies is recent measurements The sunspot record is the longest (~ 400 years) observation related to climate. Sunspot and cosmogenic isotope records give long-term TSI proxies to compare with climate. TSI proxies are extrapolations based on recent space-based observations. TSI is compared to sunspot record for last 27 years. Sunspot record is compared to cosmogenic isotopes for last 400 yrs.

Back Up

Space-borne TSI record relies on continuity TSI measurements need to be accurate and well-connected to the existing 27-year record. 2008-2011 Glory

Glory TIM summary Instrument type: absolute radiometer Primary detector type: electrical substitution radiometer Wavelength range: total Resolution: N/A Accuracy: 100 PPM Precision: 10 PPM/year Dimensions (H W D): 17.7 27.9 27.2 cm Mass: 7.9 kg Power: 14 watts Nominal data rate: 539 bps Field-of-view: 12.8 (full cone angle)

Glory mission overview

Glory Data Product Flow Glory S/C USN Remote Ground Station USN Network Management Center Raw TIM Raw APS/CC Temp Temp LASP FTP FTP Server Server Science Data Processing L0 APS L0 CC L1a, L1b, L2, L3? Database Server/ Storage Array L0 APS L0 CC Raw Level Zero Proc and CC Decomp Raw Telem Data Proc L0/L1a Database Server/ Storage Array L1a L1b, L2, L3 Science Data Processing L0, L1,L2, L3? Meta, L1, L2, L3? Columbia U Redundant Storage All Irreplaceable L0 and SW Colorado U Redundant Storage All Irreplaceable Data, SW, etc. L0, L1a, L1b L2, L3 Meta, L0, L3 L3 WWW Server L3 APS/CC Meta, L1, L2, L3? GES DISC TIM Meta, L0, and L3