Global Precipitation Measurement Cold Season Precipitation Experiment (GCPEX): For Measurement’s Sake, Let It Snow

Author:

Skofronick-Jackson Gail1,Hudak David2,Petersen Walter3,Nesbitt Stephen W.4,Chandrasekar V.5,Durden Stephen6,Gleicher Kirstin J.4,Huang Gwo-Jong5,Joe Paul7,Kollias Pavlos8,Reed Kimberly A.4,Schwaller Mathew R.1,Stewart Ronald9,Tanelli Simone6,Tokay Ali10,Wang James R.11,Wolde Mengistu12

Affiliation:

1. NASA Goddard Space Flight Center, Greenbelt, Maryland

2. Environment Canada, King City, Ontario, Canada

3. NASA Wallops Flight Facility, Wallops Island, Virginia

4. University of Illinois at Urbana–Champaign, Urbana, Illinois

5. Colorado State University, Fort Collins, Colorado

6. Jet Propulsion Laboratory, Pasadena, California

7. Environment Canada, Toronto, Ontario, Canada

8. McGill University, Montreal, Quebec, Canada

9. University of Manitoba, Winnipeg, Manitoba, Canada

10. Joint Center for Earth Systems Technology, University of Maryland, Baltimore County, Baltimore, and NASA Goddard Space Flight Center, Greenbelt, Maryland

11. Science Systems and Applications, Inc., Lanham, Maryland

12. National Research Council of Canada, Ottawa, Ontario, Canada

Abstract

Abstract As a component of Earth’s hydrologic cycle, and especially at higher latitudes, falling snow creates snowpack accumulation that in turn provides a large proportion of the freshwater resources required by many communities throughout the world. To assess the relationships between remotely sensed snow measurements with in situ measurements, a winter field project, termed the Global Precipitation Measurement (GPM) Cold Season Precipitation Experiment (GCPEx), was carried out in the winter of 2011/12 in Ontario, Canada. Its goal was to provide information on the precipitation microphysics and processes associated with cold season precipitation to support GPM snowfall retrieval algorithms that make use of a dual-frequency precipitation radar and a passive microwave imager on board the GPM core satellite and radiometers on constellation member satellites. Multiparameter methods are required to be able to relate changes in the microphysical character of the snow to measureable parameters from which precipitation detection and estimation can be based. The data collection strategy was coordinated, stacked, high-altitude, and in situ cloud aircraft missions with three research aircraft sampling within a broader surface network of five ground sites that in turn were taking in situ and volumetric observations. During the field campaign 25 events were identified and classified according to their varied precipitation type, synoptic context, and precipitation amount. Herein, the GCPEx field campaign is described and three illustrative cases detailed.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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