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<p style="margin:0in;margin-bottom:.0001pt"><span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121"><img width="284" height="74" style="width:2.9583in;height:.7708in" id="gmail-m_-5620389940236451697gmail-m_-7661646782105514399Picture_x0020_1" src="cid:image001.png@01D4C9D2.5B7079C0"></span><o:p></o:p></p>
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<p style="margin:0in;margin-bottom:.0001pt"><span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121">Hello Everyone,</span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121">Please join us
<b>Today Feb. 21</b> for this week's Enviro-Lunch talk<b> </b>by Kripa Jagannathan from University of California, Berkeley, at 12-1pm in room
<b>SE2-302</b>.<o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="color:#212121"> </span><o:p></o:p></p>
<p align="center" style="margin:0in;margin-bottom:.0001pt;text-align:center"><b><span style="font-size:18.0pt;color:#212121">Can long-term climate information be useful for on-farm adaptation planning?</span></b><span style="font-size:13.5pt;font-family:"Times New Roman",serif;color:black"> </span><o:p></o:p></p>
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<img width="323" height="318" style="width:3.3645in;height:3.3125in" id="Picture_x0020_1" src="cid:image002.jpg@01D4C9D2.5B7079C0"><o:p></o:p></p>
<p style="font-variant-caps:normal;text-align:start;word-spacing:0px"><span style="color:black">In the last decade, many advances have been made in climate modeling and projections. Yet, several sources still report that climate projections are not widely used
in the agriculture sector, as they may not be meeting farmers’ needs. This may be because, farmers require information on very specific climatic metrics (such as start of rains during the planting season, or number of low temperature days during the growing
season), and such crop-specific decision relevant information is not always readily available to them. Furthermore, even when such information is available, projections tend to go unused as they are provided without considering how farmers may apply them in
their decision-making context. <o:p></o:p></span></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="color:black">This research aims to provide a better understanding of the types of long-term projections that are potentially useful (and the types that are not useful) for different types of on-farm adaptation
decisions. I will be presenting findings from semi-structured interviews with almond farmers, farm advisors, and industry association members across the central valley of California. Specifically, I will talk about how farmers have used weather/climate data
in the past, the climatic metrics that are important to their crops, the types of climate projections that they are likely to find useful (including their perceptions on appropriate temporal scales & acceptable uncertainty levels in projections), and their
preferred information communication methods. I will end with a critical discussion on whether and how the ‘usability’ of climate science can be improved so that it can aid on-farm adaptations.<o:p></o:p></span></p>
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<b><span style="color:black">Bio: </span></b>Kripa Jagannathan is a PhD candidate at the Energy and Resources Group (ERG) of UC Berkeley. Her research interests are in climate change adaptation and climate-resilient planning, and her doctoral thesis focuses
on improving the usability of climate science for adaptation decision-making. Since 2015, Kripa has been working with UC Cooperative extension and the US Department of Agriculture’s California Climate Hub to better understand how long-term climate information
can be made more useful for perennial tree crop growers in California. As a UC Global Food Initiative Fellow, Kripa has worked with Lawrence Berkeley Lab (LBL), to evaluate the skill of different Global Circulation Models in predicting the decision-relevant
metric of chill hours in California, and examine how differences in model choice may impact future projections. Kripa is currently working at LBL as a team member for ‘Project Hyperion’ where scientists and water managers are co-producing decision-relevant
science to aid in climate-resilient water management for four watershed regions across the US. Prior to her PhD, Kripa worked for 7 years in the climate change consulting space where she led a variety of technical advisory projects. Her work included developing
climate adaptation strategies and implementing carbon reduction projects for governmental agencies as well as private companies.<o:p></o:p></p>
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<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121">When: Thursday 2/21, 12pm – 1pm</span><o:p></o:p></p>
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<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121"> </span><o:p></o:p></p>
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<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121">Where: SE2-302</span><o:p></o:p></p>
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<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121"> </span><o:p></o:p></p>
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<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121">Coffee will be provided, please bring your own mugs.</span><o:p></o:p></p>
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<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121">We look forward to seeing you,</span><o:p></o:p></p>
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<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121"> </span><o:p></o:p></p>
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<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121">Jing & Jennifer</span><o:p></o:p></p>
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<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121"> </span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt;font-variant-caps:normal;text-align:start;word-spacing:0px">
<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121">Organizers for Spring 2019: Jing Yan and Jennifer Alvarez</span><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt;font-variant-caps:normal;text-align:start;word-spacing:0px">
<span style="font-size:9.5pt;font-family:"Arial",sans-serif;color:#212121">Faculty coordinator: Asmeret Asefaw Berhe</span><o:p></o:p></p>
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