MINT: An intelligent interface for understanding the impacts of climate change on hydrological, agricultural and economic systems

Deborah Khider1, Yolanda Gil1, Kelly M Cobourn2, Ewa Deelman3, Christopher Duffy4, Rafael Ferreira da Silva5, Armen Kemanian6, Craig Knoblock7, Vipin Kumar8, Scott Dale Peckham9, Yao-Yi Chiang10, Dan Feldman11, Daniel Garijo1, Daniel Hardesty Lewis12, Ankush Khandelwal8, Rajiv Mayani13, Maximiliano Osorio14, Minh Pahm11, Suzanne A Pierce15, Jay Pujara11, Varun Ratnakar1, Lele Shu16, Hae Jin Song11, Basel Shbita14, Maria Stoica17, Binh Vu11 and Lissa Pearson18, (1)University of Southern California, Information Sciences Institute, Los Angeles, CA, United States, (2)Virginia Polytechnic Institute and State University, Blacksburg, United States, (3)USC Information Sciences Inst., Marina Del Rey, CA, United States, (4)Pennsylvania State University Main Campus, Department of Environmental and Civil Engineering, University Park, PA, United States, (5)University of Southern California, Information Sciences Institute,, Los Angeles, CA, United States, (6)Pennsylvania State University Main Campus, University Park, PA, United States, (7)University of Southern California, Marina Del Rey, CA, United States, (8)University of Minnesota Twin Cities, Minneapolis, MN, United States, (9)University of Colorado, Boulder, CO, United States, (10)University of Southern California, Los Angeles, CA, United States, (11)University of Southern California, Los Angeles, United States, (12)Texas Advanced Computing Center, Austin, TX, United States, (13)University of Southern California, Information Sciences Institute, Los Angles, United States, (14)University of Southern California, Information Sciences Institute, Los Angeles, United States, (15)University of Texas at Austin, Austin, TX, United States, (16)Pennsylvania State University, University Park, PA, United States, (17)Institute of Arctic and Alpine Research, Boulder, CO, United States, (18)The university of Texas at Austin, Austin, United States