GSFC. Glaciation Level and Vertical Profile of Droplet Size Associated with Cloud-Aerosol Interactions (D. Rosenfeld) Clean Polluted.

Slides:



Advertisements
Similar presentations
Robin Hogan, Richard Allan, Nicky Chalmers, Thorwald Stein, Julien Delanoë University of Reading How accurate are the radiative properties of ice clouds.
Advertisements

Robin Hogan Julien Delanoe University of Reading Remote sensing of ice clouds from space.
Integrated Profiling at the AMF
Simulating cloud-microphysical processes in CRCM5 Ping Du, Éric Girard, Jean-Pierre Blanchet.
Calibration of GOES-R ABI cloud products and TRMM/GPM observations to ground-based radar rainfall estimates for the MRMS system – Status and future plans.
3D Radiative Transfer in Cloudy Atmospheres: Diffusion Approximation and Monte Carlo Simulation for Thermal Emission K. N. Liou, Y. Chen, and Y. Gu Department.
GEOS-5 Simulations of Aerosol Index and Aerosol Absorption Optical Depth with Comparison to OMI retrievals. V. Buchard, A. da Silva, P. Colarco, R. Spurr.
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.
Proposed participation of the MODIS Aerosol team and Si-Chee in the Dry/wet AMC + SMOCC campaign in Amazonia August-November 2002 (There are question marks.
Atmospheric effect in the solar spectrum
Microstructure of Israeli Clouds and their Suitability for Seeding Eyal Freud and Daniel Rosenfeld יום עיון מחקרי רשות המים, 21 ביוני 2011.
Page 1© Crown copyright The Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 Steve Abel First VOCALS Regional Experiment (REx) Preparatory.
Clouds and Climate: Forced Changes to Clouds SOEE3410 Ken Carslaw Lecture 4 of a series of 5 on clouds and climate Properties and distribution of clouds.
Figure 2.10 IPCC Working Group I (2007) Clouds and Radiation Through a Soda Straw.
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.
MODIS CLOUD RETRIEVAL: A presentation based on this document.
ESTEC July 2000 Estimation of Aerosol Properties from CHRIS-PROBA Data Jeff Settle Environmental Systems Science Centre University of Reading.
IRCTR - International Research Centre for Telecommunication and Radar ATMOS Ice crystals properties retrieval within ice and mixed-phase clouds using the.
Cooperative Institute for Meteorological Satellite Studies University of Wisconsin - Madison Steve Ackerman Director, Cooperative Institute for Meteorological.
Satellite basics Estelle de Coning South African Weather Service
Photo by Dave Fratello. Focus To evaluate CAM5/CARMA at 1x1 degree resolution with aircraft observations. - Improve cirrus cloud representation in the.
Bastiaan van Diedenhoven (Columbia University, NASA GISS) Ann Fridlind, Andrew Ackerman & Brian Cairns (NASA GISS) An investigation of ice crystal sizes.
Understanding the effects of aerosols on deep convective clouds Eric Wilcox, Desert Research Institute, Reno NV Tianle.
EARLINET and Satellites: Partners for Aerosol Observations Matthias Wiegner Universität München Meteorologisches Institut (Satellites: spaceborne passive.
Characterization of Arctic Mixed-Phase Cloudy Boundary Layers with the Adiabatic Assumption Paquita Zuidema*, Janet Intrieri, Sergey Matrosov, Matthew.
Determination of the optical thickness and effective radius from reflected solar radiation measurements David Painemal MPO531.
MT Workshop October 2005 JUNE 2004 DECEMBER 2004 End of OCTOBER 2005 ? MAY 2002 ? Capabilities of multi-angle polarization cloud measurements from.
Test simulation of Aerosol impact on solar radiation with WRF-CHEM DustDNI (w/o dust) – DNI (w/ dust) Positive value indicates the decreased DNI due to.
Faculty of Physics and Earth Sciences Vertical thermodynamic phase distribution in convective clouds derived from cloud side observations Evelyn Jäkel.
Maria Val Martin and J. Logan (Harvard Univ., USA) D. Nelson, C. Ichoku, R. Kahn and D. Diner (NASA, USA) S. Freitas (INPE, Brazil) F.-Y. Leung (Washington.
1 GOES-R AWG Product Validation Tool Development Aviation Application Team – Volcanic Ash Mike Pavolonis (STAR)
1 GOES-R AWG Product Validation Tool Development Aviation Application Team – Volcanic Ash Mike Pavolonis (STAR)
USING OF METEOSAT SECOND GENERATION HIGH RESOLUTION VISIBLE DATA FOR THE IMPOVEMENT OF THE RAPID DEVELOPPING THUNDERSTORM PRODUCT Oleksiy Kryvobok Ukrainian.
Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental Satellite (GOES)-R platform. The sensor.
4STAR: Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research Development and Results from First Test-flights A collaboration involving: PNNL:
Satellite Imagery ARSET - AQ Applied Remote SEnsing Training – Air Quality A project of NASA Applied Sciences NASA ARSET- AQ – EPA Training September 29,
Group proposal Aerosol, Cloud, and Climate ( EAS 8802) April 24 th, 2006 Does Asian dust play a role as CCN? Gill-Ran Jeong, Lance Giles, Matthew Widlansky.
Matthew Shupe Ola Persson Paul Johnston Duane Hazen Clouds during ASCOS U. of Colorado and NOAA.
4STAR: Spectrometer for Sky-Scanning, Sun- Tracking Atmospheric Research Results from Test-flight Series PNNLNASA AmesNASA GSFC B. SchmidS. DunaganS. Sinyuk.
Cloud optical properties: modeling and sensitivity study Ping Yang Texas A&M University May 28,2003 Madison, Wisconsin.
A Sharper View of Fuzzy Objects: Warm Clouds and their Role in the Climate System as seen by Satellite Ralf Bennartz University of Wisconsin – Madison.
Retrieval of Cloud Phase and Ice Crystal Habit From Satellite Data Sally McFarlane, Roger Marchand*, and Thomas Ackerman Pacific Northwest National Laboratory.
SATELLITE REMOTE SENSING OF TERRESTRIAL CLOUDS Alexander A. Kokhanovsky Institute of Remote Sensing, Bremen University P. O. Box Bremen, Germany.
TOMS Ozone Retrieval Sensitivity to Assumption of Lambertian Cloud Surface Part 1. Scattering Phase Function Xiong Liu, 1 Mike Newchurch, 1,2 Robert Loughman.
Zhibo (zippo) Zhang 03/29/2010 ESSIC
4STAR Instrument Technology Development Dunagan, 1/13 4STAR: Spectrometer for Sky-Scanning, Sun- Tracking Atmospheric Research Instrument Design, Development.
SEMIANALYTICAL CLOUD RETRIEVAL ALGORITHM AND ITS APPLICATION TO DATA FROM MULTIPLE OPTICAL INSTRUMENTS ON SPACEBORNE PLATFORMS: SCIAMACHY, MERIS, MODIS,
Initial Analysis of the Pixel-Level Uncertainties in Global MODIS Cloud Optical Thickness and Effective Particle Size Retrievals Steven Platnick 1, Robert.
3km 1.7 km 60 o 30 o With 1dg FOV, 3km from the cloud, the foot print perpendicular to the cloud will be about 50m. Cloud-Aerosol Scanner: Possible measurements.
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.
Cloud property retrieval from hyperspectral IR measurements Jun Li, Peng Zhang, Chian-Yi Liu, Xuebao Wu and CIMSS colleagues Cooperative Institute for.
ACE - Aerosol Working Group Science Traceability Matrix Category 1: Aerosols, Clouds and Climate Category 2: Aerosols, Clouds and Precipitation.
UCLA Vector Radiative Transfer Models for Application to Satellite Data Assimilation K. N. Liou, S. C. Ou, Y. Takano and Q. Yue Department of Atmospheric.
Rob Roebeling CloudNET meeting 18 – 19 October 2004, Delft METEOSAT-8 OBSERVATIONS AND DERIVED CLOUD MICROPHYSICAL PROPERTIES.
Impact of 3D Clouds on Aerosol Retrievals Guoyong Wen 1,2 Alexander Marshak 1 Robert F. Cahalan 1 Lorraine Remer 1 Richard Kleidman 1,3 1 NASA/Goddard.
UNIVERSITY OF BASILICATA CNR-IMAA (Consiglio Nazionale delle Ricerche Istituto di Metodologie per l’Analisi Ambientale) Tito Scalo (PZ) Analysis and interpretation.
The study of cloud and aerosol properties during CalNex using newly developed spectral methods Patrick J. McBride, Samuel LeBlanc, K. Sebastian Schmidt,
Earth Science Projects for Olin College Students: J. Vanderlei Martins UMBC Physics Department and NASA GSFC Climate and Radiation Branch 1. CCD Detection.
  Lorraine A. Remer JCET UMBC
Bluing of Aerosols near Clouds: Results from a Simple Model and MODIS Observations Alexander Marshak (GSFC) Tam á s V á rnai and Guoyong Wen (UMBC/GSFC)
Motivation: Help satellite studies of aerosol-cloud interactions Aerosol remote sensing near clouds is challenging Excluding areas near-cloud risks biases.
Motivation: Help satellite studies of aerosol-cloud interactions Aerosol remote sensing near clouds is challenging Excluding areas near-cloud risks biases.
1 Synthetic Hyperspectral Radiances for Retrieval Algorithm Development J. E. Davies, J. A. Otkin, E. R. Olson, X. Wang, H-L. Huang, Ping Yang # and Jianguo.
Aerosol properties in a cloudy world (from MODIS and CALIOP) Alexander Marshak (GSFC) Bob Cahalan (GSFC), Tamas Varnai (UMBC), Guoyong Wen, Weidong Yang.
Cloud Trends and Anomalies Observed by MISR
Group interests RICO data required
Betsy Berry and Jay Mace University of Utah
Group interests RICO data in support of studies
Presentation transcript:

GSFC

Glaciation Level and Vertical Profile of Droplet Size Associated with Cloud-Aerosol Interactions (D. Rosenfeld) Clean Polluted

GSFC Glaciation Level and Vertical Profile of Droplet Size Associated with Cloud-Aerosol Interactions (D. Rosenfeld) Clean Clean Cases Polluted Cases

GSFC Scientific Scenario for CLAIM-3D: Today, Microphysical Effects on Clouds: Studied from Cloud Top with many assumptions With complicated/limited in situ aircraft measurements. The CLOUD SCANNER add: Instantaneous measurements of the cloud vertical profile of microphysics, thermodynamic phase, and cloud 3D properties Simultaneous measurements of aerosol properties Today, Microphysical Effects on Clouds: Studied from Cloud Top with many assumptions With complicated/limited in situ aircraft measurements. The CLOUD SCANNER add: Instantaneous measurements of the cloud vertical profile of microphysics, thermodynamic phase, and cloud 3D properties Simultaneous measurements of aerosol properties

GSFC Cloud Scanner Measurements During the LBA/SMOCC/Racci Experiment 2002

GSFC

350  nm) 2500 Ice Water 350(nm) 2500 Ice Water Ice Water Ice Water Ice Water Clear Sky Cloud Surface ice water Glaciation Level Clear Sky Cloud Surface ice water Glaciation Level 350(nm) 2500 Prototype Results Thermodynamic Phase Droplet Size Temperature Aerosol Type + Amount Aircraft Proof of Concept Cloud Side Measurements 0 Effective Radius (  m) 50

GSFC King et. all 1997

GSFC Reflectances from Side and Top of a Cylindrical Cloud (  z=50,  x=30) Reflectance height (km) Cloud Top Cloud Side 2.1  m 0.66  m  o = 60,  = 40 3-D Radiative Transfer Studies:

GSFC  v =60 ,  v =180   v =60 ,  v =0   o =60 ,   o =0   v =0 ,   v =0   v =60 ,  v =90  A. Marshak – 3D Cloud Simulation Input (optical depth) Output

GSFC 100km Default Simple Scanning Mode The instrument points towards the illuminated side of the clouds and scans as the satellite moves (see simple scan movie). An extra feature and also descope option can be a second simple camera (between 1 to 3 visible wavelengths for parallax observations of the cloud structure). Additional 1- view angle for Parallax (also for descope option) Multi Spectral Cloud Scanner View direction

GSFC

100km Geometry of the Multi-Angle Scan The instrument view angle changes from forward to backward geometries as it scans a selected region (see full scan movie) ~ 400km

GSFC ~ 400km

GSFC CLAIM-3D Observing Geometry (fig 1) Side view International collaboration: Enhanced Polder International collaboration: Enhanced Polder Cloud Scanner Cloud Scanner 3D view Min. 100km swath Cloud Structure And Vegetation Hot Spot

GSFC

TMI Image 60dg View angle Courtesy of Antony Davis

GSFC