EGU22-12019
https://doi.org/10.5194/egusphere-egu22-12019
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Analysis of snow water equivalent data needs and capabilities

Carrie Vuyovich1, Ana Barros2, Dorothy Hall1,3, Rhae Sung Kim1,3, Eunsang Cho1,3, Melissa Wrzesien1,3, and Sujay Kumar1
Carrie Vuyovich et al.
  • 1NASA, Goddard Space Flight Center, Greenbelt, MD USA (carrie.m.vuyovich@nasa.gov)
  • 2University of Illinois, Champaign, IL USA
  • 3University of Maryland, College Park, MD USA

Global snow cover is an integral part of the Earth’s water and energy cycles, contributing life-giving water resources to billions of people around the world while helping to cool the planet by reflecting solar energy back to space.  Accurate measurements of snow at a regional scale are needed to improve runoff predictions to inform water supply and hydropower needs and to help predict conditions that are associated with floods, drought, and wildfires. Though we can measure the extent of snow cover globally, we cannot yet reliably measure the amount of water stored in a snowpack, or snow-water equivalent (SWE) from space at the resolution and accuracy needed to understand its role in the water cycle. In addition, it is uncertain how the extent and the volume of snow will be changed across the globe in a warmer climate. Here we will review the snow data needs to address our most pressing science questions and operational requirements. We will also present the results of a coverage analysis of SWE data from currently-available and upcoming sensors over the northern hemisphere to identify gaps in current capabilities.

How to cite: Vuyovich, C., Barros, A., Hall, D., Kim, R. S., Cho, E., Wrzesien, M., and Kumar, S.: Analysis of snow water equivalent data needs and capabilities, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12019, https://doi.org/10.5194/egusphere-egu22-12019, 2022.