@article{mcmurdie_heymsfield_yorks_braun_skofronick-jackson_rauber_yuter_colle_mcfarquhar_poellot_et al._2022, title={Chasing Snowstorms The Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) Campaign}, volume={103}, ISSN={["1520-0477"]}, DOI={10.1175/BAMS-D-20-0246.1}, abstractNote={Abstract
The Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) is a NASA-sponsored field campaign to study wintertime snowstorms focusing on East Coast cyclones. This large cooperative effort takes place during the winters of 2020–23 to study precipitation variability in winter cyclones to improve remote sensing and numerical forecasts of snowfall. Snowfall within these storms is frequently organized in banded structures on multiple scales. The causes for the occurrence and evolution of a wide spectrum of snowbands remain poorly understood. The goals of IMPACTS are to characterize the spatial and temporal scales and structures of snowbands, understand their dynamical, thermodynamical, and microphysical processes, and apply this understanding to improve remote sensing and modeling of snowfall. The first deployment took place in January–February 2020 with two aircraft that flew coordinated flight patterns and sampled a range of storms from the Midwest to the East Coast. The satellite-simulating ER-2 aircraft flew above the clouds and carried a suite of remote sensing instruments including cloud and precipitation radars, lidar, and passive microwave radiometers. The in situ P-3 aircraft flew within the clouds and sampled environmental and microphysical quantities. Ground-based radar measurements from the National Weather Service network and a suite of radars located on Long Island, New York, along with supplemental soundings and the New York State Mesonet ground network provided environmental context for the airborne observations. Future deployments will occur during the 2022 and 2023 winters. The coordination between remote sensing and in situ platforms makes this a unique publicly available dataset applicable to a wide variety of interests.}, number={5}, journal={BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY}, author={McMurdie, Lynn A. and Heymsfield, Gerald M. and Yorks, John E. and Braun, Scott A. and Skofronick-Jackson, Gail and Rauber, Robert M. and Yuter, Sandra and Colle, Brian and McFarquhar, Greg M. and Poellot, Michael and et al.}, year={2022}, month={May}, pages={E1243–E1269} }
 @article{miller_yuter_hoban_tomkins_colle_2022, title={Detecting wave features in Doppler radial velocity radar observations}, volume={15}, ISSN={["1867-8548"]}, url={https://doi.org/10.5194/amt-15-1689-2022}, DOI={10.5194/amt-15-1689-2022}, abstractNote={Abstract. Mesoscale, wave-like perturbations in horizontal air motions in the troposphere (velocity waves) are associated with vertical velocity, temperature, and pressure perturbations that can initiate or enhance precipitation within clouds. The ability to detect velocity waves from horizontal wind information is an important tool for atmospheric research and weather forecasting. This paper presents a method to routinely detect velocity waves using Doppler radial velocity data from a scanning weather radar. The method utilizes the difference field between consecutive position plan indicator (PPI) scans at a given elevation angle. Using the difference between fields a few minutes apart highlights small-scale perturbations associated with waves because the larger-scale wind field changes more slowly. Image filtering retains larger contiguous velocity bands and discards noise. Wave detection scales are limited by the size of the temporal difference relative to the wave motion and the radar resolution volume size.
                    }, number={6}, journal={ATMOSPHERIC MEASUREMENT TECHNIQUES}, publisher={Copernicus GmbH}, author={Miller, Matthew A. and Yuter, Sandra E. and Hoban, Nicole P. and Tomkins, Laura M. and Colle, Brian A.}, year={2022}, month={Mar}, pages={1689–1702} }
 @article{ganetis_colle_yuter_hoban_2018, title={Environmental Conditions Associated with Observed Snowband Structures within Northeast US Winter Storms}, volume={146}, ISSN={["1520-0493"]}, DOI={10.1175/MWR-D-18-0054.1}, abstractNote={Abstract
               Northeast U.S. winter storms commonly exhibit multiple meso-β-scale (L < 200 km) bands of enhanced radar reflectivity and precipitation. We use radar observations, upper-air soundings, and reanalyses from 108 cases of cool season (October–April) storms from 1996 to 2016 that occurred within the coastal corridor from Delaware to Maine to identify and assess various banding structures and environments. Banding can occur in several configurations among storms, and banding characteristics can differ at different times within the same storm. We classified 6-h storm periods as containing long (>200 km) single bands, single bands co-occurring with sets of mesoscale multibands, multibands only, and radar echoes without any bands using a combination of automated and manual methods. Use of radar reflectivity data at 0.5-dB precision and a variable rather than a fixed threshold showed that the occurrence of long single bands without any mesoscale multibands was rare, occurring in only 5 of 113 6-h periods. The most frequently occurring band configuration (55%) was concurrent single bands and multibands, which usually were present in the northwest quadrant of mature cyclones. Sets of multibands without a nearby single band usually occurred in the northeast quadrant of a cyclone poleward of weak midlevel forcing along a warm front. Overall, mesoscale single and multibands more commonly occurred after the cyclone occluded than in the developing stages. Multibands occurred in a wide range of frontogenesis and moist potential vorticity environments.}, number={11}, journal={MONTHLY WEATHER REVIEW}, author={Ganetis, Sara A. and Colle, Brian A. and Yuter, Sandra E. and Hoban, Nicole P.}, year={2018}, month={Nov}, pages={3675–3690} }