Welcome to ICECHIP!

Collaborative Research: AGS-FIRP Track 3: In-situ Collaborative Experiment for the Collection of Hail In the Plains (ICECHIP)

Hail is the most consistently damaging hazard of severe thunderstorms, producing losses in the U.S. alone exceeding $10 billion per year over the past 14 years with impacts on homeowners, business owners, aviation, agriculture, transportation, and renewable energy producers. The In-situ Collaborative Experiment for Collection of Hail In the Plains field campaign, or ICECHIP, will improve radar detection and monitoring of hail, provide critical ground-truth information for materials science, and improve the nation's capabilities to predict hailstorms and their impacts.

Current hail forecasting methods struggle to forecast more extreme hail events, and it is difficult to connect radar-observed storm characteristics with specific hail characteristics such as concentration or extreme sizes. Very few observations of hail characteristics other than maximum dimension are even available, nor knowledge of how those characteristics could change during a storm. ICECHIP, the first U.S. hail-focused field campaign in over 40 years, will use modern instrumentation and numerical modeling capacity to provide a long-awaited advancement in hail science. Mobile radars, unpiloted aerial systems, lofted drifters and probes, laser scanning technologies, high-resolution cameras, and more traditional field observations such as atmospheric conditions and surface hail size will all be used to obtain synchronized and comprehensive observations of hailstorms, the hailstones they produce, and the damage they cause. Researchers will deploy a fully mobile network for 6 weeks across the Front Range and Central Plains, gathering observations from a wide variety of hailstorms and hail types. This first-of-its-kind dataset will be instrumental in improving radar-based hail detection, hail models and forecasting, and resulting warnings through diverse collaboration among academic, government, private sector, and international partners. ICECHIP will promote educational efforts through training of 32 undergraduate and 20 graduate students across 10 U.S. universities, including two Minority Serving Institutions.

ICECHIP will address 5 major research themes, each corresponding to a current significant gap in hail science. In Theme 1, which focuses on hailstone growth and fall behavior, advances in digital photography will be used to explore little-observed microscale hail processes such as tumbling, melting, and shedding with the aim of reducing the uncertainty in microphysical parameterizations and hail growth models. ICECHIP's comprehensive observations will be used to validate newly developed hail trajectory models and parameterizations in Theme 2, which concentrates on in-storm hail trajectory and convective updraft relationships. Those models will then be used to explore how thunderstorm updraft characteristics and evolution can modify in-storm hail trajectories and surface hail production. Environmental impacts on hail processes and predictability will be examined in Theme 3 by quantifying model hail forecasting skill, with a particular focus on environmental wind, moisture, and temperature profiles. In Theme 4 the surface properties of hailstones and associated impacts will be investigated by linking the internal and environmental storm characteristics to predictable variations in observed hailstone properties (size, shape, density, and strength) in both space and time within the swath and through new insights derived into the impact of wind on hail impacts. These properties will be linked through laboratory and model experiments to different damage modes of materials and structures. Finally, in Theme 5, which focuses on relationships between hailstone physical properties and growth processes to radar observations, radar-based detection of hail size and concentration will be better established through comprehensive ground truth validation that includes the natural variability of hail properties. Radar indicators of updraft width will be linked directly to increases in hailstone mass and damage potential at the surface.

Principal Investigators

Rebecca Adams-Selin: Atmospheric and Environmental Research
John Allen: Central Michigan University
Victor Gensini: Northern Illinois University
Andrew Heymsfield: National Center for Atmospheric Research

Steering Committee

Brian Argrow: Univ. Colorado Boulder
Ian Giammanco: Insurace Institute for Business and Home Safety
Karen Kosiba: Univ. Alabama Huntsville
Matthew Kumjian: Pennsylvania State Univ.
Joshua Wurman: Univ. Alabama Huntsville

Additional Science PIs

V. Chandrasekar: Colorado State Univ.
Xingchao Chen: Pennsylvania State Univ.
Daniel Dawson: Purdue Univ.
Walker Ashley: Northern Illinois Univ.
Justin Dodd: Northern Illinois Univ.
Katja Friedrich: Univ. Colorado Boulder
Yongli Gao: Univ. Texas San Antonio
Cameron Homeyer: Oklahoma Univ.
Jason Keeler: Central Michigan Univ.
Zachary Lebo: Oklahoma Univ.
Kelly Lombardo: Pennsylvania State Univ.
Ted Mansell: NOAA/National Severe Storms Laboratory
Russ Schumacher: Colorado State Univ.
Hannah Vagasky: Atmospheric and Environmental Research
Loren White: Jackson State University
Yunji Zhang: Pennsylvania State Univ.
Conrad Ziegler: NOAA/National Severe Storms Laboratory

Collaborators/Partners

Australian Bureau of Meteorology: (Joshua Soderholm, Alain Protait)
Insurance Institute for Business and Home Safety: (Ian Giammanco)
Northern Hail Project: (Julian Brimelow)
Universität Bern: (Olivia Romppainen-Martius)
Expert Forecaster: (David Imy)

GRLevelX Placefiles

ICECHIP Assets: https://icechip.niu.edu/placefiles/icechip_placefile_all.txt

Analysis and Forecasting

Quick-look HUD

Victor's Mobile Mesoanalysis

Downloads

Guru

Franson GpsGate

GpsGate Instructions

Sonde Frequencies

Frequency MHz Hardware Owner Institute
401.0 iMet receiver 1 Victor Gensini NIU
404.0 IMet receiver 1 John Allen CMU
410.0, 410.5, 411.0 Sparv RR2 receiver 1 Victor Gensini NIU
412.0, 412.5, 413.0 Sparv RR2 receiver 1 Jason Keeler CMU
414.0, 414.5, 415.0 Sparv RR2 receiver 1 Kelly Lombardo PSU
416.0, 416.5, 417.0 Sparv RR2 receiver 1 Michael Kunz KIT
418.0, 418.5, 419.0 Sparv RR2 receiver 2 Michael Kunz KIT
420.0, 420.5, 421.0 Sparv RR2 receiver 1 Joshua Soderholm BOM
422.0 Sparv RR4 receiver 1 Joshua Soderholm BOM
424.0 Spare 1
426.0 Spare 2

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