Professor Graber receives the German Cross of Merit
Hans C. Graber, UM Rosenstiel School professor of ocean sciences and director of the Center for Southeastern Tropical Remote Sensing (CSTARS), was awarded the Federal Cross of the Order of Merit, or Bundesverdienstkreuz, by the German government, the highest civilian award given by the Federal Republic of Germany. The Consul General Juergen Borsch presented the Federal Cross of Merit to Graber at an event on March 20 in Miami.
The order was established in 1951 to provide awards “for achievements that served the rebuilding of the country in the fields of political, socio-economic and intellectual activity, and is intended to mean an award of all those whose work contributes to the peaceful rise of the Federal Republic of Germany.”
Graber’s research focuses on radar remote sensing of hurricanes and typhoons, understanding air-sea interactions and the generation of ocean waves and storm surge.
Notable recipients of the Bundesverdienstkreuz include, Queen Elizabeth II and her husband Prince Philip, Duke of Edinburgh, Mikhail Gorbachev and Queen Sofía of Spain.
Professor Amy Clement Receives Mentor Award
Amy Clement, associate dean and professor of atmospheric sciences is the second recipient of the UM Rosenstiel School Outstanding Mentor Award. Clement was presented the award by the Graduate Academic Committee at a ceremony on May 20 at the School. At the award ceremony she gave a talk titled, “A discussion on mentoring and being mentored.”
The award was designed to recognize an exceptional faculty mentor and based upon the recommendation of a committee of Rosenstiel School students, post-doctorate researchers and faculty.
Clement leads a climate modeling research group at the UM Rosenstiel School, which aims to better understand various aspects of Earth’s climate, from Saharan dust and clouds to El Niño/Southern Oscillation (ENSO), which is the largest mode of variability in the modern climate. Clement’s research focus is on fundamental aspects of the climate system, including understanding why the climate changed in the past, and predicting how it will change in the future.
