'Ice clouds' presentation slideshows

Algorithm Theoretical Basis (Fog/Low Stratus) Presented by Michael Pavolonis

Algorithm Theoretical Basis (Fog/Low Stratus) Presented by Michael Pavolonis Aviation Application Team STAR With significant contributions from: Corey Calvert (UW/CIMSS). Algorithm Theoretical Basis.

990 views • 96 slides

Topic 11 New Sensors, Platforms, Analysis Techniques and Integrated Systems for Measuring Ice Cloud Properties Part I

544 views • 43 slides

The Advanced Baseline Imager (ABI)

The Advanced Baseline Imager (ABI). Timothy J. Schmit NOAA/NESDIS/ORA Advanced Satellite Products Team (ASPT) in Madison, Wisconsin in collaboration with the Cooperative Institute for Meteorological Satellite Studies (CIMSS). GOES-R Users Conference 22 May 2001 . UW-Madison.

498 views • 38 slides

Atmosphere

Atmosphere. Composition. The atmosphere is made of a variety of gases, roughly in the following proportions: 78% Nitrogen 20% Oxygen 1% Argon <1% Carbon Dioxide <1% Water vapor. Air temperature. This is the average speed or kinetic energy of all the particles in a mass of air.

487 views • 36 slides

Canadian Participation in FIRE III/SHEBA

Canadian Participation in FIRE III/SHEBA. by George Isaac Cloud Physics Research Division Meteorological Service of Canada.

376 views • 27 slides

Status on Cloudy Radiance Data Assimilation in NCEP GSI

Status on Cloudy Radiance Data Assimilation in NCEP GSI. 1 Min-Jeong Kim. 2 Fuzhong Weng, 3 Emily Liu, 4 Will McCarty, 3 Yanqiu Zhu, 3 John Derber, and 3 Andrew Collard. 1 Cooperative Institute for the Research in Atmosphere (CIRA), Colorado State Univ.

362 views • 24 slides

Examples of multiple scattering

The time-dependent two-stream method for lidar and radar multiple scattering Robin Hogan (University of Reading) Alessandro Battaglia (University of Bonn). To account for multiple scattering in CloudSat and CALIPSO retrievals we need a fast forward model to represent this effect Overview:

226 views • 22 slides

Michael Pavolonis*, Wayne Feltz*, Mike Richards*, Steve Ackerman*, and Andrew Heidinger#

Michael Pavolonis*, Wayne Feltz*, Mike Richards*, Steve Ackerman*, and Andrew Heidinger# * CIMSS/UW-Madison # NOAA/NESDIS-Madison. Towards Operational Satellite-based Detection and Short Term Nowcasting of Volcanic Ash* *There are research applications as well. Volcanic Ash work at CIMSS.

334 views • 19 slides

Satellite Atmospheric Science at Kiruna Space Campus

412 views • 19 slides

Ice in the Atmosphere W+H 6.5; S+P Ch. 17

226 views • 15 slides

Gerd-Jan van Zadelhoff & Dave Donovan

Comparing ice-cloud microphysical properties using Cloudnet & ARM data. Gerd-Jan van Zadelhoff & Dave Donovan. GOAL : Compare and evaluate microphysical cloud properties at 3 sites.

261 views • 15 slides

Modeling Ices in star-forming clouds: MCMC approach

Modeling Ices in star-forming clouds: MCMC approach. Pavel Senin, following J acqueline Keane presentations August 11, 2006. Interstellar ices in star-forming regions:. Image from P.Ehrenfreund & A.G.G.M.Tielens. Iterative model.

234 views • 12 slides

The importance of ice particle shape and orientation for spaceborne radar retrievals

The importance of ice particle shape and orientation for spaceborne radar retrievals. Robin Hogan, Chris Westbrook University of Reading Lin Tian NASA Goddard Space Flight Center Phil Brown Met Office. Introduction and overview.

204 views • 11 slides

The importance of ice particle shape and orientation for spaceborne radar retrievals

The importance of ice particle shape and orientation for spaceborne radar retrievals. Robin Hogan, Chris Westbrook University of Reading Lin Tian NASA Goddard Space Flight Center Phil Brown Met Office. Introduction and overview.

115 views • 11 slides

Clouds

Clouds. MSG-1, 5 Jun 2003, 12:00, ch. 8.7 - 10.8 difference MSG-1, 5 Jun 2003, ch. 3.9, for comparison.

226 views • 10 slides

J. Benson, B. Bonev, P. James, K. Shan, B. Cantor, M. Caplinger ICARUS

The Seasonal Behavior of Water Ice Clouds in the Tharsis and Valles Marineris Regions of Mars: Mars Obiter Camera Observations. J. Benson, B. Bonev, P. James, K. Shan, B. Cantor, M. Caplinger ICARUS. Presented by Kate Hale 12/9/04. Outline. Objectives of the study

173 views • 10 slides

Spring lightning rainbow

Spring lightning rainbow. Ice clouds seasons Rain summer snow. Water flowers winter. Tornado sun autumn. We have chosen for weather because it is a fun and educational subject and you can do a lot with pictures-xoxo-melissa + sila.

127 views • 2 slides

Use of A-Train Observations to Validate Satellite Cloud Phase Algorithms from MODIS and VIIRS

12. 12. 12. 12. 12. 12. 20. 20. 10. 10. 10. 10. 10. 10. 10. 10. 8. 8. 8. 8. 8. 8. 0. 0. Height AGL (km). Height AGL (km). Height AGL (km). Height AGL (km). Height AGL (km). Height AGL (km). 6. 6. 6. 6. 6. 6. Generating Cells ~ 1-1.5 km in Length. 4. 4. 4. 4.

239 views • 1 slides

Instrumentation

148 views • 1 slides

Evaluating Cloud Retrieval Algorithms within the ARM BBHRP Framework

61 views • 1 slides