[LTER-sbc_all] Fwd: [Climate Meeting] Reminder: June Climate Meeting: Friday, JUNE 03, at noon, ERI conference room, Ellison Hall, 6th floor

[Jenny Dugan]

Hi Everyone,

Please see the announcement below for Naomi's talk: Modeling eco-hydrology in water-limited environments
 at noon today.

Jenny

-------- Original Message --------
From: Leila Carvalho <leila at eri.ucsb.edu>
Date: Jun 2, 2016 8:52:23 PM
Subject: [Climate Meeting] Reminder: June Climate Meeting: Friday, JUNE 03, at noon, ERI conference room, Ellison Hall, 6th floor
To: climatemeeting at eri.ucsb.edu



  


 Hello everyone, 
 This is a reminder for the June Climate Meeting
 

>  Friday, 03, at noon, Ellison Hall, 6th floor conference room 
> Presenters:
>  
>  
> 30 mil talk: Dr. Naomi (Christina) Tague (Bren School)
>  
>  
> Title: Modeling eco-hydrology in water-limited environments
>  
>  
> 15 min talk: Mr. Ty Brandt (PhD candidate, Bren School):
>  
>  
> Title: Snowfall’s Footprints: Using NASA’s Airborne Snow Observatory to quantify spatial patterns of precipitation in the central Sierra Nevada
>  
>  
> Abstracts:
>  
> N. Tague: Modeling eco-hydrology in water-limited environments
>  
>  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,. 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 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.
>  
>  
> Bio
>  
> 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: (https://tagueteamlab.org)https://tagueteamlab.org.
>   Brandt: Snowfall’s Footprints: Using NASA’s Airborne Snow Observatory to quantify spatial patterns of precipitation in the central Sierra Nevada
>  
>  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.
>  
>  
>  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.
>  
>  Thanks and hope to see you all on Friday
>  
 
 
-- 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: http://clivac.eri.ucsb.edu/ 

 



--

Jenny Dugan

Marine Science Institute
University of California
Santa Barbara, CA 93106-6150
Phone: 805-893-2675
email: j_dugan at lifesci.ucsb.edu
http://msi.ucsb.edu/people/research-scientists/jenny-dugan () 
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