Snow Remote Sensing
Since 2010, the CUNY-Snow Analysis and Field Experiment (CUNY-SAFE) is conducted each winter. This experiment builds on earlier studies by extending over the full winter season instead of only one or a few days, thus allowing processes of snowpack accumulation, metamorphism, and melting – and their impacts on microwave emissivity – to be observed sequentially at the same site. The objective of this long term field experiment is to characterize the behavior of snow-emitted microwave radiation throughout the winter season. The experiment examines and interprets the effect of snowpack temperature (related to dry and wet snow conditions) on the microwave brightness temperature. The continuation of long-term observations of in situ snow properties combined with microwave radiances will facilitate the assessment of current snow retrieval algorithms and their capability to infer snow properties under different meteorological conditions. https://www.cessrst.org/snow/
- Basic Snow Research (Link Hydrology and Earth System Sciences Paper)
– Field Experiments using Microwave Radiometers (37- 89 GHz) – Preliminary Analysis
– Algorithm Development for Snow Water Equivalent using Remote Sensing Data
– Synergistic Use of Remote Sensing for Snow Cover and Water Equivalent Estimation - Applied Snow Research
– Remote Sensing and Weather Forcing Analysis for Streamflow Simulation
– Remote Sensing based Snow estimates for Hydro-logical Models Applications - Calibration and Validation of snow products
– Validation of NOAA Interactive Snow Maps with National Climatic Data Center - Graduated Students: Jessica Chiu (BS), Christine Chen (MS), Hiram Sanchez (MS),
Jose Infante Corona (PhD), Carlos Perez (PhD) and Jonathan Munoz (PhD)
