Hi Everyone,<br /><br />Please see the announcement below for Naomi's talk: <span class="sender"><span><b>Modeling eco-hydrology in water-limited environments</b><b><br />
</b></span></span>at noon today.<br /><br />Jenny<br /><br />-------- Original Message --------<br />From: <span class="sender"><b class="name">Leila Carvalho </b><leila@eri.ucsb.edu><br />Date: Jun 2, 2016 8:52:23 PM<br />Subject: [Climate Meeting] Reminder: June Climate Meeting: Friday, JUNE 03, at noon, ERI conference room, Ellison Hall, 6th floor<br />To: climatemeeting@eri.ucsb.edu<br /><br /><div class="mimepart text html"><span><p>
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Hello everyone, <br />
This is a reminder for the June Climate Meeting<br />
</p><blockquote cite="mid:5f646c08-7d2e-63fb-45c6-fcad3dbc0258@eri.ucsb.edu" type="cite"> Friday, 03, at noon, Ellison Hall, 6th floor
conference room
<p>Presenters:<br />
</p>
<p><b>30 mil talk: Dr. Naomi (Christina) Tague (Bren School)</b><b><br />
</b></p>
<p><b>Title: Modeling eco-hydrology in water-limited environments</b><b><br />
</b></p>
<p><b>15 min talk: Mr. Ty Brandt (PhD candidate, Bren School):</b><b><br />
</b></p>
<p><b>Title: Snowfall’s Footprints: Using NASA’s Airborne Snow
Observatory to quantify spatial patterns of precipitation in
the central Sierra Nevada</b><br />
</p>
<p>Abstracts:</p>
<p><b><font color="#cc0000">N. Tague: Modeling eco-hydrology in
water-limited environments</font></b></p>
<p class=""><span class=""> <span style="font-size:11pt;font-family:'Times New Roman'">Coupled
models of ecosystem hydrology and carbon cycling are tools
that can help researchers understand these complex
interactions and assist managers in reducing fire risk,
maintaining ecosystem health, and regulating water
resources. In this talk, I will provide an overview of
RHESSys a coupled model of ecosystem carbon cycling and
spatially distributed hydrology,. </span><span style="font-size:11pt;font-family:'Times New Roman'">This
model utilizes state-of-the art computing to develop
integrated modeling tools, workflows, documentation, and
visualization that support data assimilation, collaborative
model development, and usage by a broader research
community. Recent model developments emphasize the use of
the model to examine forest water use following thinning and
fire over long-term (decadal) recovery periods, and the
assimilation of remote sensing data. We demonstrate the
application of the model to forested regions of the </span><span style="font-size:11pt;font-family:'Times New Roman'">southern
Sierra Nevada Mountains of California and to urban regions.
We use the model to project changes in vegetation water
under climate variability and change and land management
scenarios.</span><b><br />
</b></span></p>
<p class=""><span class=""><span style="font-size:11pt;font-family:'Times New Roman'"><b>Bio</b></span></span></p>
<p class=""><span class=""><span style="color:rgb(68,68,68);font-family:calluna-sans-1,calluna-sans-2,sans-serif;font-size:14.4px;line-height:17.28px;text-align:justify;background-color:rgb(249,249,249)">Naomi's
(Christina) Tague is an associate professor at the Bren
School of Environmental Science and Management, University
of California at Santa Barbara research. She studies the
interactions between hydrology and ecosystem processes and
how these eco-hydrologic systems are altered by changes in
land use and climate. Much of her work involves developing
and using spatial simulation models to integrate data from
field-based monitoring and remote sensing. Reflecting that
emphasis, she is one of the principal developers of the
Regional Hydro-Ecologic Simulation System (RHESSys), an
integrated model of spatially distributed carbon, water, and
nitrogen cycling. RHESSys is designed to provide
science-based information about spatial patterns of
ecosystem health and vulnerability in terms of water
quantity and quality. For more information: </span></span><span style="font-size:14.4px;line-height:17.28px;color:rgb(68,68,68);font-family:calluna-sans-1,calluna-sans-2,sans-serif;text-align:justify;background-color:rgb(249,249,249)"><a class="moz-txt-link-freetext" href="https://tagueteamlab.org" moz-do-not-send="true" target="1"></a><a class="moz-txt-link-freetext" href="https://tagueteamlab.org" target="1">https://tagueteamlab.org</a>.</span></p>
<b><font color="#cc0000"> Brandt: Snowfall’s Footprints: Using
NASA’s Airborne Snow Observatory to quantify spatial patterns
of precipitation in the central Sierra Nevada<br />
</font></b><br />
<font size="-1">Abstract: California depends greatly on snow
accumulation in high altitude watersheds in the Sierra Nevada
for its annual water supply. The topographic lifting of moist
air advected to the region by powerful winter storms generates
snowfall, and higher elevations tend to receive more snow that
the lowland areas due to orographic effects. To quantify these
storms we typically use a combination of rain gauges and snow
pillows. However, the paucity of these stations, particularly
at high elevations, makes the estimate of mountain precipitation
error prone and hard to assess with large implications for
runoff forecasting. In order to reduce the error around these
runoff forecasts, we need alternatives to surface stations that
can truly capture the spatial patterns of precipitation.
Remotely sensed snow depth and water equivalent, at a time scale
that resolves storms, could offer a truly unique answer to this
problem. NASA’s Airborne Snow Observatory (ASO), an imaging
spectrometer and LiDAR system, has measured snow in the Tuolumne
River Basin in California’s Sierra Nevada for the past four
years, 2013-2016, and measurements will continue. Principally,
ASO monitors the progression of melt for water supply
forecasting at a 50 m spatial resolution. However, the
mission’s flights spanned periods between several storms in the
Tuolumne River Basin in 2014, 2015 and 2016. Crucially, ASO
fills in the data gaps between surface station data, and
therefore represents a substantial improvement on our ability to
observe how mountain precipitation varies spatially.
Furthermore, the potential for using ASO to validate
high-resolution, dynamically-downscaled precipitation products,
such as the Weather Research and Forecasting (WRF) model, is of
great interest for the improvement of mountain weather and
hydrologic forecasting.<br />
<br />
<br />
Bio: Ty Brandt is a PhD student at the Bren School of
Environmental Science and Management, and is advised by Dr. Jeff
Dozier. He received his undergraduate degree from Whitman
College, and a Master of Science degree from California State
University Monterey Bay. His interests include snow remote
sensing, water resources and hydrologic forecasting.<br />
</font><br />
Thanks and hope to see you all on Friday<br />
</blockquote>
<br />
<pre class="moz-signature" cols="72">--
Dr. Leila M. Vespoli de Carvalho
Associate Professor
Meteorology and Climate Sciences
Dept. of Geography and Earth Research Institute
University of California, Santa Barbara CA 93106
Ellison Hall 6813
Phone: ++1 (805) 893-7351(Since May 2014) (805) 679-3216 (Cell)
FAX: (805) 893-2578
web: <a class="moz-txt-link-freetext" href="http://clivac.eri.ucsb.edu/" target="1">http://clivac.eri.ucsb.edu/</a>
</pre>
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</p></span></div><br /><br />--<br signature="separator" /><div align="" left""=""><font face="Tahoma" size="2"><b>Jenny Dugan</b><br /></font></div><font face="Tahoma" size="2">Marine Science Institute<br />University of California<br />Santa Barbara, CA 93106-6150<br />Phone: 805-893-2675</font><font face="Tahoma" size="2"><font #191970""="" color=""><font color="#000000"><br />email: j_dugan@lifesci.ucsb.edu<br /></font></font></font><font face="Tahoma" size="2"><a href="" http:="" index.html""="" sbc.lternet.edu="">http://msi.ucsb.edu/people/research-scientists/jenny-dugan </a></font><font 2""="" face="Tahoma" size=""><font #191970""="" color=""><font size="2"> </font><br /></font></font><font color="#2f4f4f" face="Tahoma" size="2"><a href="" http:="" index.html""="" sbc.lternet.edu=""><font color="#000000">SBC LTER:</font> </a></font><font face="Tahoma" size="2"><a href="" http:="" index.html""="" sbc.lternet.edu=""> http://sbc.lternet.edu/index.html</a></font><font face="Tahoma" size="2"> <br /></font></span>