Cloud Trends and Anomalies Observed by MISR

Slides:



Advertisements
Similar presentations
NOAA National Geophysical Data Center
Advertisements

Characterization of ATMS Bias Using GPSRO Observations Lin Lin 1,2, Fuzhong Weng 2 and Xiaolei Zou 3 1 Earth Resources Technology, Inc.
Measurement of Radiation - Solar radiation - Long wave radiation - Net radiation - Exposure of radiation sensors.
1 An initial CALIPSO cloud climatology ISCCP Anniversary, July 2008, New York Dave Winker NASA LaRC.
Aerosol radiative effects from satellites Gareth Thomas Nicky Chalmers, Caroline Poulsen, Ellie Highwood, Don Grainger Gareth Thomas - NCEO/CEOI-ST Joint.
Quantifying aerosol direct radiative effect with MISR observations Yang Chen, Qinbin Li, Ralph Kahn Jet Propulsion Laboratory California Institute of Technology,
Remote Sensing of Mesoscale Vortices in Hurricane Eyewalls Presented by: Chris Castellano Brian Cerruti Stephen Garbarino.
Page 1 1 of 20, EGU General Assembly, Apr 21, 2009 Vijay Natraj (Caltech), Hartmut Bösch (University of Leicester), Rob Spurr (RT Solutions), Yuk Yung.
Lunar Observations of Changes in the Earth’s Albedo (LOCEA) Alexander Ruzmaikin Jet Propulsion Laboratory, California Institute of Technology in collaboration.
64 or 128 Columns 2°2° 2.5° Depiction of Multi-scale Modeling Framework (MMF) A Cloud Resolving Model with an Adaptive Vertical Grid Roger Marchand and.
Lesson 2 AOSC 621. Radiative equilibrium Where S is the solar constant. The earth reflects some of this radiation. Let the albedo be ρ, then the energy.
ESTEC July 2000 Estimation of Aerosol Properties from CHRIS-PROBA Data Jeff Settle Environmental Systems Science Centre University of Reading.
MODIS Regional and Global Cloud Variability Brent C. Maddux 1,2 Steve Platnick 3, Steven A. Ackerman 1,2, Paul Menzel 1, Kathy Strabala 1, Richard Frey.
Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute.
Fundamentals of Satellite Remote Sensing NASA ARSET- AQ Introduction to Remote Sensing and Air Quality Applications Winter 2014 Webinar Series ARSET -
Lunar libration a complication. Extinction demonstrates precision.
Orbit Characteristics and View Angle Effects on the Global Cloud Field
Lecture 6 Observational network Direct measurements (in situ= in place) Indirect measurements, remote sensing Application of satellite observations to.
1 Applications of Remote Sensing: SeaWiFS and MODIS Ocean Color Outline  Physical principles behind the remote sensing of ocean color parameters  Satellite.
GSFC. Glaciation Level and Vertical Profile of Droplet Size Associated with Cloud-Aerosol Interactions (D. Rosenfeld) Clean Polluted.
Terra Launched December 18, 1999
Andrew Heidinger and Michael Pavolonis
14 ARM Science Team Meeting, Albuquerque, NM, March 21-26, 2004 Canada Centre for Remote Sensing - Centre canadien de télédétection Geomatics Canada Natural.
Investigations of Artifacts in the ISCCP Datasets William B. Rossow July 2006.
H 2 O retrieval from S5 NIR K. Weigel, M. Reuter, S. Noël, H. Bovensmann, and J. P. Burrows University of Bremen, Institute of Environmental Physics
Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.
CLARREO Science Briefing 11/14/08 1 Reflected Solar Accuracy Science Requirements Bruce Wielicki, Dave Young, Constantine Lukashin, Langley Zhonghai Jin,
1 Xiong Liu Harvard-Smithsonian Center for Astrophysics K.V. Chance, C.E. Sioris, R.J.D. Spurr, T.P. Kurosu, R.V. Martin, M.J. Newchurch,
Evidence in ISCCP for regional patterns of cloud response to climate change Joel Norris Scripps Institution of Oceanography ISCCP at 30 Workshop City College.
Barbuda Antigua MISR 250 m The Climatology of Small Tropical Oceanic Cumuli New Findings to Old Problems (Analysis of EOS-Terra data) Larry Di Girolamo,
Interannual Variability and Decadal Change of Solar Reflectance Spectra Zhonghai Jin Costy Loukachine Bruce Wielicki (NASA Langley research Center / SSAI,
Radiometric Comparison between Suomi NPP VIIRS and AQUA MODIS using Extended Simultaneous Nadir Overpass in the Low Latitudes Sirish Uprety a Changyong.
MODIS Atmosphere Products: The Importance of Record Quality and Length in Quantifying Trends and Correlations S. Platnick 1, N. Amarasinghe 1,2, P. Hubanks.
Electro-optical systems Sensor Resolution
A comparison of AMSR-E and AATSR SST time-series A preliminary investigation into the effects of using cloud-cleared SST data as opposed to all-sky SST.
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.
1 SBUV/2 Calibration Lessons Over 30 Years: Liang-Kang Huang, Matthew DeLand, Steve Taylor Science Systems and Applications, Inc. (SSAI) / NASA.
Preliminary Documentation for: Earth Surface and Atmospheric Reflectivity ESDR Since 1979 from Multiple Satellites (TOMS, SBUV, SBUV-2, OMI, SeaWiFS, NPP,
Orbits and Sensors Multispectral Sensors. Satellite Orbits Orbital parameters can be tuned to produce particular, useful orbits Geostationary Sun synchronous.
Rutherford Appleton Laboratory Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: FP, 25 April 2014, ESTEC.
Passive Microwave Remote Sensing
Cassini Huygens EECS 823 DIVYA CHALLA.
NOAA VIIRS Team GIRO Implementation Updates
Surface Pressure Measurements from the NASA Orbiting Carbon Observatory-2 (OCO-2) Presented to CGMS-43 Working Group II, agenda item WGII/10 David Crisp.
Benjamin Scarino, David R
Lunar observation data set preparation
Basic Concepts of Remote Sensing
Satellite Meteorology
The ROLO Lunar Calibration System Description and Current Status
Requirements Consolidation of the Near-Infrared Channel of the GMES-Sentinel-5 UVNS Instrument: FP, 25 April 2014, ESTEC Height-resolved aerosol R.Siddans.
ERT 247 SENSOR & PLATFORM.
Using SCIAMACHY to calibrate GEO imagers
Calibration and Performance MODIS Characterization Support Team (MCST)
DETERMINATION OF PHOTOSYNTHETICALLY ACTIVE RADIATION
Toru Kouyama Supported by SELENE/SP Team HISUI calibration WG
Hyperspectral Wind Retrievals Dave Santek Chris Velden CIMSS Madison, Wisconsin 5th Workshop on Hyperspectral Science 8 June 2005.
Deep Convective Cloud BRDF characterization using PARASOL
Lunar reflectance model based on SELENE/SP data
GOES -12 Imager April 4, 2002 GOES-12 Imager - pre-launch info - radiances - products Timothy J. Schmit et al.
TanSat/CAPI Calibration and validation
Dorothee Coppens.
Current Status of ROLO and Future Development
The Aqua-MODIS calibration transfer using DCC
Strawman Plan for Inter-Calibration of Solar Channels
VALIDATION OF DUAL-MODE METOP AMVs
Andrew Heidinger JPSS Cloud Team Lead
Studying the cloud radiative effect using a new, 35yr spanning dataset of cloud properties and radiative fluxes inferred from global satellite observations.
Representing Climate Data II
Earth Radiation Budget: Insights from GERB and future perspectives
Cloud trends from GOME, SCIAMACHY and OMI
Presentation transcript:

Cloud Trends and Anomalies Observed by MISR R. Davies Physics Department The University of Auckland, New Zealand 7/7/06 GEWEX Cloud Workshop

MISR: Multi-angle Imaging Spectro-Radiometer 9 view angles at Earth surface: 70.5º, 60º, 45.6º, 26.1º forward/ aftward and 0º Multiple spectral bands at each angle: MISR/Terra: 446, 558, 672, 866 nm 400-km swath: 9-day global coverage 275 m - 1.1 km sampling 7 minutes to observe each scene at all 9 angles 7/7/06 GEWEX Cloud Workshop

MISR : observation concept 9 view angles at Earth surface: +70.5º to –70.5º stereo match to get Reflecting Layer Reference Altitude (RLRA) every 2.2 km (90% coverage) 10-day area-weighted zonal averages of mean RLRA (>100 independent samples) similarly, coverage by height independent of radiometric calibration consistent processing since 3/2000 Terra: 10:30 am sun-synchronous 7/7/06 GEWEX Cloud Workshop

first: seasonal cycles globally averaged cloud fraction 10-day means (≈130 independent orbits) area weighted zonal averages avoids overweighting of polar latitudes by Terra stratified by height surface (≈clear) low (<3 km) middle (3–7 km) high (> 7 km) 7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

i.e. global mean cloud fraction > 0.638 at 10:30 am 0.362±0.001 i.e. global mean cloud fraction > 0.638 at 10:30 am 7/7/06 GEWEX Cloud Workshop

0.321±0.001 7/7/06 GEWEX Cloud Workshop

0.1545±0.0004 7/7/06 GEWEX Cloud Workshop

0.161±0.001 7/7/06 GEWEX Cloud Workshop

second: global cloud anomalies deseasonalized 10-day anomalies mean year anomaly with expected sampling error linear regression 7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

third: global implications how do cloud albedos change? what about cloud heights? 7/7/06 GEWEX Cloud Workshop

MISR : observation concept 9 view angles at Earth surface: +70.5º to –70.5º multiple spectral bands at each angle: 446, 558, 672, 866 nm on-board calibration system: ≈1% relative accuracy ‘expansive’ albedo integrated over the view from 30 km, averaged over swath width (300 km) energy-weighted, area-weighted, 10-day zonal averages (>100 independent samples) consistent (reprocessed) data from 5/2000 (discontinuously) to present Terra: 10:30 am sun-synchronous 7/7/06 GEWEX Cloud Workshop

green band albedo 7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

spectral albedo summary all MISR bands show similar anomalies regional anomalies are consistently larger sampling uncertainty (1s) 0.003 (10-day, global) 0.0004 (12-month, global) interannual albedo changes <0.001 (0.3%) overall difference 2005–2000 <0.2% <0.3 W m-2 (equivalent broadband absorption) well within the expected radiometric uncertainty 7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

thru 8/05 global ‘trend’ –11±2 m/yr 7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop

height and fraction summary MISR has the ability to produce consistent records of reflecting layer reference altitude and coverage by height interannual differences sampling error of ±11 m in height, ±0.002 in coverage difference of –44 ±11 m between first and last full year consistent with a reduction in tropical high cloud (ITCZ) –70 ±12 m/yr these differences exceed the sampling uncertainty unlike the albedo time series, the height differences are unaffected by radiometric calibration 7/7/06 GEWEX Cloud Workshop

global ‘trend’ –5±3 m/yr thru 5/06 preliminary 7/7/06 GEWEX Cloud Workshop

wrap up: MISR 2000-2006 can characterize the seasonal variability of cloud fraction (+height and albedo) can limit the secular trend to less than ≈0.001/yr in global total cloud fraction interannual variability in global total cloud fraction ≈0.001 larger relative changes in high cloud amount, with measurable interannual changes in mean cloud top height ≈10m globally, ≈100 m in tropics effective height change > albedo change (radiative forcing) 7/7/06 GEWEX Cloud Workshop

Cloud reconstruction Obtaining cloud top height and cloud position (Xg,Yg) Distance between a features seen with 2 cameras: ∆D (Xc,Yc) D CTH 2) Cloud top height calculation: CTH = ∆D / [tan (2 -1)] 3) Parallax correction : Xc = Xg + CTH * tan() * sin (  ) Yc = Yg + CTH * tan() * cos (  ) 7/7/06 GEWEX Cloud Workshop

7/7/06 GEWEX Cloud Workshop