'Cloud height' presentation slideshows

788 views • 66 slides

Andrew Heidinger September 3, 2014

Validated Stage 1 Science Maturity Review for VIIRS Cloud Top Height and Daytime Optical and Microphysical Products. Andrew Heidinger September 3, 2014. Outline. Algorithm Cal/Val Team Members Cloud Top Properties Product Requirements

656 views • 46 slides

A Mechanism for Low Cloud Response in SP-CAM

A Mechanism for Low Cloud Response in SP-CAM. Matthew C. Wyant Christopher S. Bretherton Peter Blossey Department of Atmospheric Sciences University of Washington (thanks also to Marat Khairoutdinov and CMMAP). Wyant et al.(2008) submitted to JAMES, July, 2008. Overview.

535 views • 44 slides

Ozone Profile Retrieval from MetOp

Ozone Profile Retrieval from MetOp. NCEO Atmospheric Composition Theme. Acknowledgements: NERC/NCEO for funding this work EUMETSAT & ECMWF for provision of data Dr N Richards (U. Leeds) TOMCAT data. R. Siddans , G. Miles , B. Latter A. Waterfall, B. Kerridge. Developments.

513 views • 36 slides

Retrieval of cloud parameters from the new sensor generation satellite multispectral measurement

Retrieval of cloud parameters from the new sensor generation satellite multispectral measurement F. ROMANO and V. CUOMO. ITSC-XII Lorne, Victoria, Australia. Main Object: Improvement using AMSU data and high spectral resolution data (IASI and IMG) in

330 views • 24 slides

Status of GEMS

Status of GEMS. Jhoon Kim, Mijin Kim, Ukkyo Jeong GEMS Team Yonsei University. GEMS Science Team. Changwoo Ahn Jay Al-Saadi P.K. Bhartia Kevin Bowman Greg Carmichael Kelly Chance Yunsoo Choi Ron Cohen Russ Dickerson David Edwards Annmarie Eldering Ernest Hilsenrath Daneil Jacob

569 views • 21 slides

Validation of GOES-8 Derived Cloud Properties Over the Southeastern Pacific

Validation of GOES-8 Derived Cloud Properties Over the Southeastern Pacific. J. K. Ayers 1 , P. Minnis 2 , R. Wood 3 , P.W. Heck 1 , D. F. Young 2 , W. L. Smith, Jr. 2 , C. W. Fairall 4 , T. Uttal 4 1 Analytical Services and Materials, Inc, Hampton, VA

213 views • 21 slides

Development of GEMS Cloud Data Processing Algorithm

Development of GEMS Cloud Data Processing Algorithm. Yong-Sang Choi 1 , Bo-Ram Kim 1 , Heeje Cho 2 , Myong -Hwan Ahn 1 (Former COMS PI), and Jhoon Kim 3 (GEMS PI) 1 Ewha Womans University, Seoul 2 Seoul National University, Seoul 3 Yonsei University, Seoul.

303 views • 20 slides

Application of Cloudnet data in the validation of SCIAMACHY cloud height products

Application of Cloudnet data in the validation of SCIAMACHY cloud height products. Ping Wang Piet Stammes KNMI, De Bilt, The Netherlands. CESAR Science day, 19 June, 2013. Overview. SCIAMACHY cloud products Cloud retrieval algorithms from O 2 A band Validation data sets Results

357 views • 18 slides

SEVIRI Height Retrieval Comparison with CALIPSO

SEVIRI Height Retrieval Comparison with CALIPSO. Mike Pavolonis (NOAA/NESDIS). Procedure. The GOES-R volcanic ash retrieval ( http://cimss.ssec.wisc.edu/~mpav/GOESR_ABI_ATBD_Aviation_VolAsh_v2.1.pdf ) was applied to SEVIRI data.

308 views • 17 slides

DSCOVR EPIC FILTER CHOICES

DSCOVR EPIC FILTER CHOICES. O2 A- and B-bands are Complimentary. O2 A-Band : PROS Greater sensitivity to cloud height Detect Aerosols CONS Sensitivity to Temperature Sensitive to surface reflectivity Measures over Oceans only. O2 B-Band : PROS Cloud height over Land

195 views • 12 slides

TOVS Path-P

TOVS Path-P. Axel Schweiger Polar Science Center University of Washington (Given by Jeff Key , NOAA/NESDIS, Madison). Path-P is a derivative of Path-B with polar modifications Processed north of 60 N, 1979-2004, 100 km grid, daily, monthly

234 views • 10 slides

General Aviation Weather Service in Finland Klaus Haikarainen / FMI 18.3.2010

General Aviation Weather Service in Finland Klaus Haikarainen / FMI 18.3.2010. General Aviation in Finland. 1418 aircrafts (2009; excl. airliners) 7209 aviation license holders (2009; excl. ATPL)

240 views • 10 slides

Cloud Height and Cloud Temperature for OCONUS GOES-R Proving Ground

Cloud Height and Cloud Temperature for OCONUS GOES-R Proving Ground. Andrew Heidinger NOAA/NESDIS/ STAR. GOES-R AWG Cloud Team : Michael Pavolonis / NOAA Pat Minnis / NASA Andi Walther, Pat Heck and William Straka / CIMSS. Some Product Details.

166 views • 7 slides

CORE, Large and Yeager 2004

75 views • 7 slides

Using CALIPSO for Quantitative Validation of Cloud Detection

Using CALIPSO for Quantitative Validation of Cloud Detection. CALIPSO analysis was developed to verify globally all thresholds used in the NGST VIIRS cloud mask (VCM; w/Rich Frey, CIMSS). Analysis pointed to some flaws in the VCM and been provided to NGST (below left).

139 views • 1 slides

Andrew Heidinger (GOVERNMENT PRINCIPAL INVESTIGATOR) NOAA/NESDIS/STAR/CoRP/ASPB

Using CALIPSO to Explore the Sensitivity to Cirrus Height in the Infrared Observations from NPOESS/VIIRS and GOES-R/ABI. Andrew Heidinger (GOVERNMENT PRINCIPAL INVESTIGATOR) NOAA/NESDIS/STAR/CoRP/ASPB.

77 views • 1 slides