Katharine Kanak

Last updated
Katharine M. Kanak
Alma mater University of Oklahoma (B.S., 1987)
University of Wisconsin–Madison (M.S., 1990)
University of Oklahoma (Ph.D., 1999)
Known forTurbulent boundary layer structures; Dust devils on Earth and Mars; Tornadoes and supercells; Mammatus clouds; Hailstorms
AwardsUniversity of Wisconsin-Madison: Schwerdtfeger Award and Lettau Award. University of Oklahoma: Graduate Teaching Award
Scientific career
Fields Meteorology
Institutions University of Oklahoma, School of Meteorology/ CIMMS (now CIWRO)
Thesis On the Formation of Vertical Vortices in the Atmosphere  (1999)
Doctoral advisor Douglas K. Lilly
John T. Snow
Other academic advisorsGregory J. Tripoli

Katharine M. Kanak is an American atmospheric scientist with noted publications on the dynamics and morphologies of atmospheric vortices, including tropical cyclones, supercell storms, tornadoes, and convective boundary layer vortices, such as dust devils, [1] both terrestrial [2] [3] and Martian [4] [5] . She has also published papers on mammatus clouds [6] [7] [8] , hailstorms, and hail processes [9] and numerical techniques.

Contents

Kanak earned a B.S. from the University of Oklahoma in 1987, majoring in meteorology and minoring in mathematics. At the University of Wisconsin-Madison she completed an M.S. in meteorology in 1990 with the thesis, Three-Dimensional, Non-Hydrostatic Numerical Simulation of a Developing Tropical Cyclone. She returned to the University of Oklahoma and was awarded a Ph.D. in 1999 with the dissertation On the Formation of Vertical Vortices in the Atmosphere. Kanak has developed three-dimensional numerical models for both Earth and Mars and collaborated in field research. She was assistant field coordinator for Project VORTEX in 1994-1995 and participated in STEPS in 2000 [10] , as well as VORTEX2 in 2009-2010. [11]

See also

Related Research Articles

<span class="mw-page-title-main">Cyclone</span> Large scale rotating air mass

In meteorology, a cyclone is a large air mass that rotates around a strong center of low atmospheric pressure, counterclockwise in the Northern Hemisphere and clockwise in the Southern Hemisphere as viewed from above. Cyclones are characterized by inward-spiraling winds that rotate about a zone of low pressure. The largest low-pressure systems are polar vortices and extratropical cyclones of the largest scale. Warm-core cyclones such as tropical cyclones and subtropical cyclones also lie within the synoptic scale. Mesocyclones, tornadoes, and dust devils lie within the smaller mesoscale.

<span class="mw-page-title-main">Climate model</span> Quantitative methods used to simulate climate

Numerical climate models are mathematical models that can simulate the interactions of important drivers of climate. These drivers are the atmosphere, oceans, land surface and ice. Scientists use climate models to study the dynamics of the climate system and to make projections of future climate and of climate change. Climate models can also be qualitative models and contain narratives, largely descriptive, of possible futures.

<span class="mw-page-title-main">Mammatus cloud</span> Distinct pattern of pouches on the underside of some clouds

Mammatus is a cellular pattern of pouches hanging underneath the base of a cloud, typically a cumulonimbus raincloud, although they may be attached to other classes of parent clouds. The name mammatus is derived from the Latin mamma.

<span class="mw-page-title-main">Fujiwhara effect</span> Meteorological phenomenon involving two cyclones circling each other

The Fujiwhara effect, sometimes referred to as the Fujiwara effect, Fujiw(h)ara interaction or binary interaction, is a phenomenon that occurs when two nearby cyclonic vortices move around each other and close the distance between the circulations of their corresponding low-pressure areas. The effect is named after Sakuhei Fujiwhara, the Japanese meteorologist who initially described the effect. Binary interaction of smaller circulations can cause the development of a larger cyclone, or cause two cyclones to merge into one. Extratropical cyclones typically engage in binary interaction when within 2,000 kilometres (1,200 mi) of one another, while tropical cyclones typically interact within 1,400 kilometres (870 mi) of each other.

<span class="mw-page-title-main">Ensemble forecasting</span> Multiple simulation method for weather forecasting

Ensemble forecasting is a method used in or within numerical weather prediction. Instead of making a single forecast of the most likely weather, a set of forecasts is produced. This set of forecasts aims to give an indication of the range of possible future states of the atmosphere.

<span class="mw-page-title-main">Hot tower</span>

A hot tower is a tropical cumulonimbus cloud that reaches out of the lowest layer of the atmosphere, the troposphere, and into the stratosphere. These formations are called "hot" because of the large amount of latent heat released as water vapor condenses into liquid and freezes into ice within the cloud. Hot towers in regions of sufficient vorticity may acquire rotating updrafts; these are known as vortical hot towers In some instances, hot towers appear to develop characteristics of a supercell, with deep and persistent rotation present in the updraft. The role of hot towers in tropical weather was first formulated by Joanne Simpson in 1958. Hot towers dominated discussions in tropical meteorology in the 1960s and are now considered the main drivers of rising air within tropical cyclones and a major component of the Hadley circulation. Although the prevalence of hot towers in scientific literature decreased in the 1970s, hot towers remain an active area of research. The presence of hot towers in tropical cyclones is correlated with an increase in the tropical cyclones' intensities.

<span class="mw-page-title-main">Weather Research and Forecasting Model</span> Numerical weather prediction system

The Weather Research and Forecasting (WRF) Model is a numerical weather prediction (NWP) system designed to serve both atmospheric research and operational forecasting needs. NWP refers to the simulation and prediction of the atmosphere with a computer model, and WRF is a set of software for this. WRF features two dynamical (computational) cores, a data assimilation system, and a software architecture allowing for parallel computation and system extensibility. The model serves a wide range of meteorological applications across scales ranging from meters to thousands of kilometers.

<span class="mw-page-title-main">Tornadogenesis</span> Process by which a tornado forms

Tornadogenesis is the process by which a tornado forms. There are many types of tornadoes and these vary in methods of formation. Despite ongoing scientific study and high-profile research projects such as VORTEX, tornadogenesis is a volatile process and the intricacies of many of the mechanisms of tornado formation are still poorly understood.

<span class="mw-page-title-main">Horizontal convective rolls</span> Long rolls of counter-rotating air

Horizontal convective rolls, also known as horizontal roll vortices or cloud streets, are long rolls of counter-rotating air that are oriented approximately parallel to the ground in the planetary boundary layer. Although horizontal convective rolls, also known as cloud streets, have been clearly seen in satellite photographs for the last 30 years, their development is poorly understood, due to a lack of observational data. From the ground, they appear as rows of cumulus or cumulus-type clouds aligned parallel to the low-level wind. Research has shown these eddies to be significant to the vertical transport of momentum, heat, moisture, and air pollutants within the boundary layer. Cloud streets are usually more or less straight; rarely, cloud streets assume paisley patterns when the wind driving the clouds encounters an obstacle. Those cloud formations are known as von Kármán vortex streets.

<span class="mw-page-title-main">Mesonet</span> Network of weather and environment monitoring stations

In meteorology and climatology, a mesonet, portmanteau of mesoscale network, is a network of automated weather and, often also including environmental monitoring stations, designed to observe mesoscale meteorological phenomena and/or microclimates.

<span class="mw-page-title-main">Atmospheric convection</span> Atmospheric phenomenon

Atmospheric convection is the result of a parcel-environment instability in the atmosphere. Different lapse rates within dry and moist air masses lead to instability. Mixing of air during the day expands the height of the planetary boundary layer, leading to increased winds, cumulus cloud development, and decreased surface dew points. Convection involving moist air masses leads to thunderstorm development, which is often responsible for severe weather throughout the world. Special threats from thunderstorms include hail, downbursts, and tornadoes.

<span class="mw-page-title-main">VORTEX projects</span> Field experiments that study tornadoes

The Verification of the Origins of Rotation in Tornadoes Experiment are field experiments that study tornadoes. VORTEX1 was the first time scientists completely researched the entire evolution of a tornado with an array of instrumentation, enabling a greater understanding of the processes involved with tornadogenesis. A violent tornado near Union City, Oklahoma was documented in its entirety by chasers of the Tornado Intercept Project (TIP) in 1973. Their visual observations led to advancement in understanding of tornado structure and life cycles.

<span class="mw-page-title-main">Martian dust devils</span> Weather phenomenon on Mars

Martian dust devils are convective atmospheric vortices that occur on the surface of Mars. They were discovered from data reported by NASA's Viking probes, and have been photographed by orbiting satellites and surface rovers in subsequent missions.

<span class="mw-page-title-main">Eyewall replacement cycle</span> Meteorological process around and within the eye of intense tropical cyclones

In meteorology, eyewall replacement cycles, also called concentric eyewall cycles, naturally occur in intense tropical cyclones, generally with winds greater than 185 km/h (115 mph), or major hurricanes. When tropical cyclones reach this intensity, and the eyewall contracts are already small, some of the outer rainbands may strengthen and organize into a ring of thunderstorms—a new, outer eyewall—that slowly moves inward and robs the original, inner eyewall of its needed moisture and angular momentum. Since the strongest winds are in a tropical cyclone's eyewall, the storm usually weakens during this phase, as the inner wall is "choked" by the outer wall. Eventually the outer eyewall replaces the inner one completely, and the storm may re-intensify.

<span class="mw-page-title-main">Erik N. Rasmussen</span> American meteorologist

Erik Nels Rasmussen is an American meteorologist and leading expert on mesoscale meteorology, severe convective storms, forecasting of storms, and tornadogenesis. He was the field coordinator of the first of the VORTEX projects in 1994-1995 and a lead principal investigator for VORTEX2 from 2009-2010 and VORTEX-SE from 2016-2017, as well as involved in other smaller VORTEX offshoots and many field projects.

<span class="mw-page-title-main">Jerry Straka</span> American atmospheric scientist

Jerry Michael Straka is an American atmospheric scientist with expertise microphysics of clouds, cloud modeling, and dynamics of severe convection in conjunction with weather radar. He was in leadership roles in both the VORTEX projects and subsequent field research focusing on tornadogenesis.

<span class="mw-page-title-main">Louis Wicker</span> American meteorologist

Louis John Wicker is an American atmospheric scientist with expertise in numerical analysis, numerical simulation, and forecasts of severe convection and tornadoes. Doing storm chasing field research, Wicker deployed the TOtable Tornado Observatory (TOTO) and was in leadership roles in the VORTEX projects. He is also known for pioneering work simulating convection at the National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana–Champaign (UIUC).

<span class="mw-page-title-main">Cold pool</span>

In atmospheric science, a cold pool (CP) is a cold pocket of dense air that forms when rain evaporates during intense precipitation e.g. underneath a thunderstorm cloud or a precipitating shallow cloud. Typically, cold pools spread at 10 m/s and last 2–3 hours. Cold pools are ubiquitous both over land and ocean.

M. Joan Alexander is an atmospheric scientist known for her research on gravity waves and their role in atmospheric circulation.

<span class="mw-page-title-main">Descending reflectivity core</span> Small-scale area of enhanced radar reflectivity

A descending reflectivity core (DRC), sometimes referred to as a blob, is a meteorological phenomenon observed in supercell thunderstorms, characterized by a localized, small-scale area of enhanced radar reflectivity that descends from the echo overhang into the lower levels of the storm. Typically found on the right rear flank of supercells, DRCs are significant for their potential role in the development or intensification of low-level rotation within these storms. The descent of DRCs has been associated with the formation and evolution of hook echoes, a key radar signature of supercells, suggesting a complex interplay between these cores and storm dynamics.

References

  1. Speckman, Stephen (2001-07-24). "Utah a dust-devil haven". Deseret News. Retrieved 2021-10-11.
  2. Kanak, Katharine M.; Lilly, Douglas K.; Snow, John T. (October 2000). "The formation of vertical Vortices in the convective boundary layer". Quarterly Journal of the Royal Meteorological Society. 126 (569): 2789–2810. doi:10.1002/qj.49712656910. ISSN   0035-9009.
  3. Kanak, Katharine M. (2005-04-01). "Numerical simulation of dust devil-scale vortices". Quarterly Journal of the Royal Meteorological Society. 131 (607): 1271–1292. doi:10.1256/qj.03.172.
  4. Kanak, Katharine M. (October 2006). "On the numerical simulation of dust devil–like vortices in terrestrial and Martian convective boundary layers". Geophysical Research Letters. 33 (19). doi:10.1029/2006GL026207. ISSN   0094-8276.
  5. Cantor, Bruce A.; Kanak, Katharine M.; Edgett, Kenneth S. (December 2006). "Mars Orbiter Camera observations of Martian dust devils and their tracks (September 1997 to January 2006) and evaluation of theoretical vortex models". Journal of Geophysical Research: Planets. 111 (E12). doi:10.1029/2006JE002700. ISSN   0148-0227.
  6. Schultz, David M.; Kanak, Katharine M.; Straka, Jerry M.; Trapp, Robert J.; Gordon, Brent A.; Zrnić, Dusan S.; Bryan, George H.; Durant, Adam J.; Garrett, Timothy J.; Klein, Petra M.; Lilly, Douglas K. (2006-10-01). "The Mysteries of Mammatus Clouds: Observations and Formation Mechanisms". Journal of the Atmospheric Sciences. 63 (10): 2409–2435. doi:10.1175/JAS3758.1. ISSN   1520-0469.
  7. Kanak, Katharine M.; Straka, Jerry M.; Schultz, David M. (2008-05-01). "Numerical Simulation of Mammatus". Journal of the Atmospheric Sciences. 65 (5): 1606–1621. doi:10.1175/2007JAS2469.1. ISSN   1520-0469.
  8. Kanak, Katharine M.; Straka, Jerry M. (October 2009). "Effects of linear, ambient wind shear on simulated mammatus‐like clouds". Atmospheric Science Letters. 10 (4): 226–232. doi: 10.1002/asl.224 . ISSN   1530-261X.
  9. Straka, Jerry M.; Kanak, Katharine M.; Gilmore, Matthew S. (2007-08-01). "The Behavior of Number Concentration Tendencies for the Continuous Collection Growth Equation Using One- and Two-Moment Bulk Parameterization Schemes". Journal of Applied Meteorology and Climatology. 46 (8): 1264–1274. doi:10.1175/JAM2527.1. ISSN   1558-8432.
  10. Kanak, Katharine M. (Jun 2012). "Vitae". University of Oklahoma. Archived from the original on 2014-05-17. Retrieved 2014-05-17.
  11. "VORTEX2: Our Team". Archived from the original on 2016-08-01. Retrieved 2014-05-19.