Co-authored by Prof. Teresa Bandosz of City College
Co-authored by Prof. John Flynn of AMNH
Authored by Prof. Alfredo Morabia
Co-Presented by Prof Fred Moshary of City College
Harold C. Connolly Jr. has been appointed Co-Investigator of JAXA’s asteroid sample return mission, Hayabusa2
The Asteroid Explorer “Hayabusa2” will fly near the Earth to perform an Earth swing-by utilizing the Earth’s gravity on Dec. 3 (Thur.) for its orbit control. The Hayabusa2, which soared into space on Dec. 3, 2014, will coincidentally come close to the Earth on Dec. 3 (Thur.), 2015, to conduct the Earth swing-by. The explorer will fly closest to the Earth at around 7:07 p.m. on that day (Japan Standard Time). After the swing-by, the Hayabusa2 will head to its target asteroid “Ryugu”.
The Asteroid is named for an ancient Japanese Story where the main character, brings back a casket from the Dragon’s palace, or the “Ryugu” Castle, at the bottom of ocean. The Hayabusa2 will also bring back a capsule with sample selected, in part, by Dr. Connolly.
First authored by Professor Carsten Kebler of Hunter College
News Articles about the work of EES graduate student Harry Maisch IV (@hmaisch)
Coauthored by Reza Khanbilvardi of City College in Geosciences
Evaluation of the Snow Thermal Model (SNTHERM) through Continuous in situ Observations of Snow’s Physical Properties at the CREST-SAFE Field Experiment
Snowpack properties like temperature or density are the result of a complex energy and mass balance process in the snowpack that varies temporally and spatially. The Snow Thermal Model (SNTHERM) is a 1-dimensional model, energy and mass balance-driven, that simulates these properties. This article analyzes the simulated snowpack properties using SNTHERM forced with two datasets, namely measured meteorological data at the Cooperative Remote Sensing Science and Technology-Snow Analysis and Field Experiment (CREST-SAFE) site and the National Land Data Assimilation System (NLDAS). The study area is located on the premises of Caribou Municipal Airport at Caribou (ME, USA). The model evaluation is based on properties such as snow depth, snow water equivalent, and snow density, in addition to a layer-by-layer comparison of snowpack properties. The simulations were assessed with precise in situ observations collected at the CREST-SAFE site. The outputs of the SNTHERM model showed very good agreement with observed data in properties like snow depth, snow water equivalent, and average temperature. Conversely, the model was not very efficient when simulating properties like temperature and grain size in different layers of the snowpack