'Low cloud' presentation slideshows

VOCALS Chris Bretherton, Univ. of Washington Bob Weller, WHOI

VOCALS Chris Bretherton, Univ. of Washington Bob Weller, WHOI. VOCALS GOAL. Better understand, simulate, and predict the Southeast Pacific cool-ocean climate regime and its interactions with the larger-scale coupled ocean-atmosphere-land system on diurnal to interannual timescales.

463 views • 35 slides

Depiction of Multi-scale Modeling Framework (MMF)

394 views • 27 slides

Class #20: Friday, October 20, 2010

366 views • 25 slides

Outback Air Race 2012

331 views • 22 slides

Wind Erosion

1.23k views • 17 slides

Paul Nutter NWS Great Falls, MT

Using MODIS/VIIRS Night-Time Microphysics RGB Imagery with Proximity Soundings to Diagnose Low-Topped Precipitation Events. Paul Nutter NWS Great Falls, MT. Kevin Fuell NASA/SPoRT. SPoRT Partners Virtual Workshop 13 February 2014. Low-Topped Precipitation. Heavy rain at Havre, MT

341 views • 17 slides

Analysis of CAM clouds with COSP (a lot has happened in the last year!)

315 views • 17 slides

Using remote sensing to understand entrainment processes in stratocumulus

Using remote sensing to understand entrainment processes in stratocumulus. Rob Wood, University of Washington POST Meeting, February, 2009. Outline. Motivation MBL depth estimates Large scale forcings from satellite (humidity, surface divergence)

272 views • 16 slides

Carnage and Cognizance from Yusef Komunyakaa

Carnage and Cognizance from Yusef Komunyakaa. Thomas Schwarzenbach , Teddy Yerdon , Alexander Andriatis , and Gary Marshuetz. P risoners.

241 views • 16 slides

Battle of the Bulge

Battle of the Bulge. Time: December 16th 1944 Location: Ardennes Forest Fighters: Canadian, British, US vs. Germany. Purpose. Hitler had convinced himself that the alliance between the allies in W. Europe was not strong Felt a major attack and defeat by Germany would break up the alliance

545 views • 14 slides

Gregory Thompson, Roy Rasmussen, Trude Eidhammer

348 views • 14 slides

Types of clouds

Types of clouds. Meera Mehtaji. CLOUDS. Four Types of Clouds. Cirrus Clouds Cumulonimbus Clouds Cumulus clouds Stratus Clouds. Cirrus Clouds . Cirrus clouds are the most common of the High Cloud (5000-13000m) group.

513 views • 11 slides

Lecture 4: Map Discussion

204 views • 10 slides

Evening Discussion: Toward a better understanding of PBL cloud feedbacks on climate sensitivity

Evening Discussion: Toward a better understanding of PBL cloud feedbacks on climate sensitivity. Some introductory material Chris Bretherton University of Washington. Low-latitude PBL clouds interact with climate change in model-dependent ways. CCSM3. Ping Zhu.

242 views • 10 slides

Briefing, 20130801

Briefing, 20130801. Surface wx through Monday(Palmdale ) Cloud conditions in CA region for Friday and Monday. Flight context. Planning ER-2 test flight today (2-3 hours) Planning on longer ER-2 test flight Friday DC -8 test flight Friday DC-8 test flight Monday

244 views • 9 slides

Azores IOP Mary Jane Bartholomew Brookhaven National Laboratory

Azores IOP Mary Jane Bartholomew Brookhaven National Laboratory. Clouds, Aerosol and Precipitation in the Marine Boundary Layer CAP-MBL. Science Plan Summary. Science Team Members. PI Robert Wood – University of Washington Christopher Bretherton – University of Washington

182 views • 9 slides

239 views • 7 slides

+ q nudging

Suggested mechanism of SP-CAM low cloud increase. Atmosphere warmer and moister. Cu layer destabilized by stronger radiative cooling. More Cu clouds. Possible issues SP-CAM under-resolution Sensitive to ? GHG & warming scenario since radiatively-driven.

154 views • 1 slides

Science Support for Proving Ground Efforts

GOES-R Product Set - 68. GOES-R 34 Baseline Products. GOES-R 34 Additional Products (Option 2). Aerosol Particle Size. Aerosol Detection (incl Smoke & Dust). Suspended Matter / Optical Depth. Aircraft Icing Threat. Volcanic Ash: Detection & Height. Cloud Ice Water Path.

106 views • 1 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