TY - JOUR
T1 - Passive microwave observations of the historic February 2010 snow storms in the Baltimore/Washington D.C. area
AU - Foster, James
AU - Skofronick-Jackson, Gail
AU - Meng, Huan
AU - Riggs, George
AU - Johnson, Ben
AU - Wang, Jim
AU - Hall, Dorothy
AU - Nghiem, Son
PY - 2010
Y1 - 2010
N2 - The unprecedented snowfall during early February 2010 in the Baltimore/Washington area provided a unique opportunity to map, monitor and measure snowfall, snow cover extent, snow water equivalent (SWE), and snow melt using a suite of remote sensing instruments. Because snow cover in the Middle Atlantic area is in most years patchy and a true multi-layered snow pack is rarely established, utilizing a remote sensing approach to observe snow parameters is more challenging than in regions where falling snow and snow packs are more reliable. The Advanced Microwave Scanning Radiometer (AMSR-E) and Scanning Microwave/Instrument (SSM/I) data were used to assess SWE and the onset of melt. For this investigation, the Advanced Microwave Sounding Unit-B (AMSU-B) images were employed to detect falling snow. Snowfall observations and retrievals show that indeed falling snow signatures can be seen in high frequency brightness temperatures. Detection of falling snow is performed operationally, while retrieving falling snow rates is a new area of scientific research and still requires additional investigation. However, it is encouraging that, in general, where falling snow is occurring, on the surface below, snow cover is present. Pixels that are mixed with water seriously compromise the efficacy of snow pack observing sensors operating in the microwave portion of the electromagnetic spectrum. The Chesapeake Bay and its wide mouthed, tidewater tributaries thus negatively impacts efforts to derive SWE and snowmelt. Furthermore, the average daytime maximum temperatures in this region are well above freezing, and on occasion even the daily minimum temperatures may remain above 0° C, confounding the passive microwave algorithms used to derive SWE, which assume dry snowpack conditions. Although the passive microwave signatures illustrated in this study are clearly related to snow, it's not straightforward whether or not the signatures are due to variations in SWE or to snowpack metamorphism or to a combination of both.
AB - The unprecedented snowfall during early February 2010 in the Baltimore/Washington area provided a unique opportunity to map, monitor and measure snowfall, snow cover extent, snow water equivalent (SWE), and snow melt using a suite of remote sensing instruments. Because snow cover in the Middle Atlantic area is in most years patchy and a true multi-layered snow pack is rarely established, utilizing a remote sensing approach to observe snow parameters is more challenging than in regions where falling snow and snow packs are more reliable. The Advanced Microwave Scanning Radiometer (AMSR-E) and Scanning Microwave/Instrument (SSM/I) data were used to assess SWE and the onset of melt. For this investigation, the Advanced Microwave Sounding Unit-B (AMSU-B) images were employed to detect falling snow. Snowfall observations and retrievals show that indeed falling snow signatures can be seen in high frequency brightness temperatures. Detection of falling snow is performed operationally, while retrieving falling snow rates is a new area of scientific research and still requires additional investigation. However, it is encouraging that, in general, where falling snow is occurring, on the surface below, snow cover is present. Pixels that are mixed with water seriously compromise the efficacy of snow pack observing sensors operating in the microwave portion of the electromagnetic spectrum. The Chesapeake Bay and its wide mouthed, tidewater tributaries thus negatively impacts efforts to derive SWE and snowmelt. Furthermore, the average daytime maximum temperatures in this region are well above freezing, and on occasion even the daily minimum temperatures may remain above 0° C, confounding the passive microwave algorithms used to derive SWE, which assume dry snowpack conditions. Although the passive microwave signatures illustrated in this study are clearly related to snow, it's not straightforward whether or not the signatures are due to variations in SWE or to snowpack metamorphism or to a combination of both.
KW - AMSR-E
KW - AMSU-B
KW - Historical
KW - Microwave
KW - Snowfall
UR - https://www.scopus.com/pages/publications/84924042598
M3 - Conference article
AN - SCOPUS:84924042598
SN - 1682-1750
VL - 38
SP - 361
EP - 365
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
T2 - ISPRS Technical Commission VIII Symposium on Networking the World with Remote Sensing
Y2 - 9 August 2010 through 12 August 2010
ER -