[Grad-postdoc-assn] Fwd: ATOC Colloquium: Friday, April 14 @ 11am MT – Vikas Hanasoge Nataraja, Ziqi Yin, and Ethan Murray (SEEC S228 and Zoom)
Scott Briggs
sbriggs at ucar.edu
Thu Apr 13 10:38:52 MDT 2023
Friendly Reminder
---------- Forwarded message ---------
From: Andrew Winters <andrew.c.winters at colorado.edu>
Date: Thu, Apr 13, 2023 at 8:00 AM
Subject: Re: ATOC Colloquium: Friday, April 14 @ 11am MT – Vikas Hanasoge
Nataraja, Ziqi Yin, and Ethan Murray (SEEC S228 and Zoom)
To: atoc-faculty (Alexandra Jahn) <atoc-faculty at lists.colorado.edu>,
atoc-students (Julie Lundquist) <atoc-students at lists.colorado.edu>,
Atoc-majors at lists.colorado.edu <atoc-majors at lists.colorado.edu>,
Atoc-minors at lists.colorado.edu <atoc-minors at lists.colorado.edu>,
atoc-researchers (Kelly Duong) <atoc-researchers at lists.colorado.edu>,
atoc-colloquium at lists.colorado.edu <atoc-colloquium at lists.colorado.edu>
Hi everyone,
A reminder that the next ATOC Colloquium will be held in a hybrid
format on *Friday,
April 14 from 11a–12p MT over Zoom and in SEEC S228. *This week's
colloquium will
feature a trio of conference-length talks from *ATOC graduate students,
Vikas Hanasoge Nataraja, Ziqi Yin, and Ethan Murray.* The zoom login
information and abstracts for each talk are provided below. Please join us
for coffee and conversation beginning at 10:45am MT, and stay afterwards
for a lunch catered by Illegal Pete's.
We look forward to seeing you on Friday!
-The ATOC Colloquium Committee
_________________________________________________
*Using Machine Learning to Improve Cloud Retrievals*
Vikas Hanasoge Nataraja (ATOC/LASP)
Cloud optical properties play an important role in determining the cloud
radiative effect (CRE), surface energy budget, and heating profiles. Cloud
optical thickness (COT), in particular, is important for the shortwave CRE.
Accurately predicting the COT will help to improve our understanding of the
Earth’s energy budget. Current algorithms for COT retrieval from passive
satellite imagery assume that clouds are homogenous within a pixel and
neglect the so-called “3D effect” of clouds. We present a machine learning
model that takes into account the spatial context in satellite imagery to
retrieve the COT more accurately. Our model uses radiance fields from just
a single wavelength and is robust to various optical depths even when
trained on a highly constrained and limited data set. Testing on synthetic
and aircraft imagery has shown that the model is grounded in physics and is
self-consistent with the radiance fields.
*High-Resolution, Fully-Coupled Simulations of the Greenland Ice Sheet in a
Future, Strong Warming Scenario*
Ziqi Yin (ATOC)
The Greenland Ice Sheet (GrIS) is rapidly losing mass in response to global
warming, and its mass loss is driven both by atmospheric warming,
increasing surface melt and meltwater runoff, and oceanic warming, leading
to glacier speedup and enhanced ice discharge. Constraining future GrIS
mass loss therefore calls for a unified and coupled model infrastructure
employed at high horizontal resolution, allowing to resolve individual
glacier basins and detailed atmospheric processes such as orographic
precipitation. We will present results of a set of fully coupled
CESM2.2-CISM2.1 simulations, in which a variable-resolution grid that
features ¼˚ regional refinement over the Arctic is used to represent the
atmosphere and land. An idealized warming experiment simulating a scenario
with atmospheric CO2 increasing 1% per year until quadrupling the
pre-industrial level and then held fixed, is carried out after a 180-year
pre-industrial simulation. We will present results on how the GrIS mass
balance and surface mass balance change and briefly cover the impact of
these changes on the climate. A comparison between our results and a
lower-resolution simulation using the 1˚ grid will also be discussed.
*Aircraft Measurements of Convective Eye and Eyewall Clouds in Tropical
Cyclone Sam*
Ethan Murray (ATOC/LASP)
Novel aircraft-based observations are used to diagnose the evolution of an
intense tropical cyclone's inner core. Six flights into Tropical Cyclone
Sam in 2021 resulted in excellent lidar, radar, and in situ data coverage
throughout the storm. Radar data provide a view into the cyclone's overall
precipitation structure, while detailed lidar data highlight Sam's
thermodynamic profile and low level clouds in the eye and eyewall. These
observations display the variety of convective and stratiform clouds, along
with their thermodynamic environments, within the inner core. In situ
observations confirm the thermodynamic changes in Sam, and measurements of
horizontal vorticity mixing explain how the cyclone's structure evolves
over time.
__________________________________________________
*Zoom login Information:*
*Topic: ATOC Colloquium*
*Time: Friday, Apr. 14 at 11am MT*
*Join Zoom Meeting*
*https://cuboulder.zoom.us/j/97845417945
<https://cuboulder.zoom.us/j/97845417945>*
*Meeting ID: 978 4541 7945 *
*Passcode: ATOC*
One tap mobile
+17193594580,,97845417945# US
+16699006833,,97845417945# US (San Jose)
Dial by your location
+1 719 359 4580 US
+1 669 900 6833 US (San Jose)
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
+1 669 444 9171 US
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+1 646 931 3860 US
+1 301 715 8592 US (Washington DC)
+1 309 205 3325 US
+1 312 626 6799 US (Chicago)
+1 386 347 5053 US
+1 564 217 2000 US
Meeting ID: 978 4541 7945
Find your local number: https://cuboulder.zoom.us/u/acegj8GnMV
Join by SIP
97845417945 at zoomcrc.com
Join by H.323
162.255.37.11 (US West)
162.255.36.11 (US East)
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213.244.140.110 (Germany)
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103.122.167.55 (Australia Melbourne)
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149.137.68.253 (Mexico)
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65.39.152.160 (Canada Vancouver)
207.226.132.110 (Japan Tokyo)
149.137.24.110 (Japan Osaka)
Meeting ID: 978 4541 7945
Passcode: 432312
_______________________________________________________
*Andrew C. Winters*
Assistant Professor
Department of Atmospheric and Oceanic Sciences (ATOC)
University of Colorado Boulder
311 UCB, Boulder, CO 80309-0311
Office: SEEC C277 || Phone: 303-735-5775
https://acwinters.weebly.com || @acwinters_wx || he/him/his
*CU Boulder acknowledges that it is located on the traditional territories
and ancestral homelands of the Cheyenne, Arapaho, Ute and many other Native
American nations. Their forced removal from these territories has caused
devastating and lasting impacts. Full CU Boulder land acknowledgment
<https://www.colorado.edu/about/land-acknowledgement> *
------------------------------
*From:* Andrew Winters
*Sent:* Monday, April 10, 2023 1:34 PM
*To:* atoc-faculty (Alexandra Jahn) <atoc-faculty at lists.colorado.edu>;
atoc-students (Julie Lundquist) <atoc-students at lists.colorado.edu>;
Atoc-majors at lists.colorado.edu <atoc-majors at lists.colorado.edu>;
Atoc-minors at lists.colorado.edu <atoc-minors at lists.colorado.edu>;
atoc-researchers (Kelly Duong) <atoc-researchers at lists.colorado.edu>;
atoc-colloquium at lists.colorado.edu <atoc-colloquium at lists.colorado.edu>
*Subject:* ATOC Colloquium: Friday, April 14 @ 11am MT – Vikas Hanasoge
Nataraja, Ziqi Yin, and Ethan Murray (SEEC S228 and Zoom)
Hi everyone,
The next ATOC Colloquium will be held in a hybrid format on *Friday, April
14 from 11a–12p MT over Zoom and in SEEC S228. *This week's colloquium will
feature a trio of conference-length talks from *ATOC graduate students,
Vikas Hanasoge Nataraja, Ziqi Yin, and Ethan Murray.* The zoom login
information and abstracts for each talk are provided below. Please join us
for coffee and conversation beginning at 10:45am MT, and stay afterwards
for a lunch catered by Illegal Pete's.
Please let us know if you have any questions or are interested in
delivering a talk at a future colloquium. A full schedule of ATOC colloquia
can be found at https://www.colorado.edu/atoc/colloquium.
We look forward to seeing you on Apr. 14!
-The ATOC Colloquium Committee
_________________________________________________
*Using Machine Learning to Improve Cloud Retrievals*
Vikas Hanasoge Nataraja (ATOC/LASP)
Cloud optical properties play an important role in determining the cloud
radiative effect (CRE), surface energy budget, and heating profiles. Cloud
optical thickness (COT), in particular, is important for the shortwave CRE.
Accurately predicting the COT will help to improve our understanding of the
Earth’s energy budget. Current algorithms for COT retrieval from passive
satellite imagery assume that clouds are homogenous within a pixel and
neglect the so-called “3D effect” of clouds. We present a machine learning
model that takes into account the spatial context in satellite imagery to
retrieve the COT more accurately. Our model uses radiance fields from just
a single wavelength and is robust to various optical depths even when
trained on a highly constrained and limited data set. Testing on synthetic
and aircraft imagery has shown that the model is grounded in physics and is
self-consistent with the radiance fields.
*High-Resolution, Fully-Coupled Simulations of the Greenland Ice Sheet in a
Future, Strong Warming Scenario*
Ziqi Yin (ATOC)
The Greenland Ice Sheet (GrIS) is rapidly losing mass in response to global
warming, and its mass loss is driven both by atmospheric warming,
increasing surface melt and meltwater runoff, and oceanic warming, leading
to glacier speedup and enhanced ice discharge. Constraining future GrIS
mass loss therefore calls for a unified and coupled model infrastructure
employed at high horizontal resolution, allowing to resolve individual
glacier basins and detailed atmospheric processes such as orographic
precipitation. We will present results of a set of fully coupled
CESM2.2-CISM2.1 simulations, in which a variable-resolution grid that
features ¼˚ regional refinement over the Arctic is used to represent the
atmosphere and land. An idealized warming experiment simulating a scenario
with atmospheric CO2 increasing 1% per year until quadrupling the
pre-industrial level and then held fixed, is carried out after a 180-year
pre-industrial simulation. We will present results on how the GrIS mass
balance and surface mass balance change and briefly cover the impact of
these changes on the climate. A comparison between our results and a
lower-resolution simulation using the 1˚ grid will also be discussed.
*Aircraft Measurements of Convective Eye and Eyewall Clouds in Tropical
Cyclone Sam*
Ethan Murray (ATOC/LASP)
Novel aircraft-based observations are used to diagnose the evolution of an
intense tropical cyclone's inner core. Six flights into Tropical Cyclone
Sam in 2021 resulted in excellent lidar, radar, and in situ data coverage
throughout the storm. Radar data provide a view into the cyclone's overall
precipitation structure, while detailed lidar data highlight Sam's
thermodynamic profile and low level clouds in the eye and eyewall. These
observations display the variety of convective and stratiform clouds, along
with their thermodynamic environments, within the inner core. In situ
observations confirm the thermodynamic changes in Sam, and measurements of
horizontal vorticity mixing explain how the cyclone's structure evolves
over time.
__________________________________________________
*Zoom login Information:*
*Topic: ATOC Colloquium*
*Time: Friday, Apr. 14 at 11am MT*
*Join Zoom Meeting*
*https://cuboulder.zoom.us/j/97845417945
<https://cuboulder.zoom.us/j/97845417945>*
*Meeting ID: 978 4541 7945 *
*Passcode: ATOC*
One tap mobile
+17193594580,,97845417945# US
+16699006833,,97845417945# US (San Jose)
Dial by your location
+1 719 359 4580 US
+1 669 900 6833 US (San Jose)
+1 253 215 8782 US (Tacoma)
+1 346 248 7799 US (Houston)
+1 669 444 9171 US
+1 646 558 8656 US (New York)
+1 646 931 3860 US
+1 301 715 8592 US (Washington DC)
+1 309 205 3325 US
+1 312 626 6799 US (Chicago)
+1 386 347 5053 US
+1 564 217 2000 US
Meeting ID: 978 4541 7945
Find your local number: https://cuboulder.zoom.us/u/acegj8GnMV
Join by SIP
97845417945 at zoomcrc.com
Join by H.323
162.255.37.11 (US West)
162.255.36.11 (US East)
115.114.131.7 (India Mumbai)
115.114.115.7 (India Hyderabad)
213.19.144.110 (Amsterdam Netherlands)
213.244.140.110 (Germany)
103.122.166.55 (Australia Sydney)
103.122.167.55 (Australia Melbourne)
149.137.40.110 (Singapore)
64.211.144.160 (Brazil)
149.137.68.253 (Mexico)
69.174.57.160 (Canada Toronto)
65.39.152.160 (Canada Vancouver)
207.226.132.110 (Japan Tokyo)
149.137.24.110 (Japan Osaka)
Meeting ID: 978 4541 7945
Passcode: 432312
_______________________________________________________
*Andrew C. Winters*
Assistant Professor
Department of Atmospheric and Oceanic Sciences (ATOC)
University of Colorado Boulder
311 UCB, Boulder, CO 80309-0311
Office: SEEC C277 || Phone: 303-735-5775
https://acwinters.weebly.com || @acwinters_wx || he/him/his
*CU Boulder acknowledges that it is located on the traditional territories
and ancestral homelands of the Cheyenne, Arapaho, Ute and many other Native
American nations. Their forced removal from these territories has caused
devastating and lasting impacts. Full CU Boulder land acknowledgment
<https://www.colorado.edu/about/land-acknowledgement> *
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Scott Briggs (he/him/his)
Administrator
Advanced Study Program
Education, Engagement and Early-Career Development
National Center For Atmospheric Research
*phone: 303.497.1607*
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