Title: The Houston Environmental Aerosol Thunderstorm (HEAT) Project: 2005
1The Houston Environmental Aerosol Thunderstorm
(HEAT) Project 2005
http//www.met.tamu.edu/ciams/heat/index.html
Richard (Dick) Orville with John Nielsen-Gammon,
Renyi Zhang, Don Collins and Amy Stuart Dept. of
Atmospheric Sciences Texas AM
University College Station, TX Email
rorville_at_tamu.edu March 15, 2004
2Introduction Houston, the Lightning Capital of
Texas
- National Lightning Detection Network (NLDN)
analyzed climatological data (Orville et al.
2001) have indicated a significant CG lightning
enhancement (60) over and near the city of
Houston, Texas (pop. 5 million). - The hypothesized causes include
- The urban heat island effect enhancing convection
- The petroleum refining operations (49 of the USA
capacity) - The sea breeze circulation system and increased
CCN/IN concentrations from the multitude of
pollution sources in the Houston region.
3Intracloud Lightning
4- Cloud-to-ground lightning
5Data and Methods
- The National Lightning Detection Network (NLDN)
- Detects only CG flashes
- 106 sensors (DF/TOA) across the U. S.
- Since 1994, the resolution is 500 m, and
detection efficiency is 85 - Created and analyzed lightning flash density maps
for different season and time periods
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7E60
8Sea Heat Island Breeze
- From MM5 simulations Orville et al., 2001,
enhanced low-level convergence does not occur
without the city. - The main effect is increased thunderstorm
initiation directly over the city. - Greater warm season daytime enhancement gives
support for this.
9Pollution
- Houston atmosphere is polluted due to the oil
refineries and automobiles - Hypothesis Effect of CCN concentrations on
lightning - Higher CCN
- Mean drop radius decreased
- More small supercooled droplets above 0o C level
- Greater volume of mixed phase (ice and
supercooled water) - More charge separation
- More lightning!
10Proposed Research
- Houston has a significant lightning enhancement
during all seasons, but highest in the summer. - Field experiments (CCN/IN, cloud droplet size
distributions over Houston), and modeling
(separate effects from city, bay, and pollution)
should help in determining the relative
importance of each factor. - HEAT Project is needed with measurements of total
lightning (both cloud-to-ground and intracloud
lightning), polarimetric radars, and aircraft
sampling of clouds.
11Houston Environmental Aerosol Thunderstorm (HEAT)
Project 2005
-
- Houston Environmental AerosolThunderstorm
Project(HEAT) - DRAFT
- Scientific Overview Operational Plan for
HEAT-2004/2005 - Table of Contents Download PDF
- Abstract 1. Introduction 1.1 Primary Goals
of HEAT Pollution Effects
Urban Heat Island Dynamics The Effect
of a Complex Coastline Atmospheric
Chemistry Lightning 2. Project
Overview 3. Scientific Objectives 3.1
Pollution Effects 3.2 Urban Heat Island
Dynamics 3.3 The Effect of a Complex
Coastline 3.4 Atmospheric Chemistry 3.5
Lightning 4. Operation Plan Daily Schedule and
Conduct of Operations 4.1 Briefings 4.2
Conduct of Field Operations and the Operations
Center 4.2.1 Operations Center
Team 4.2.2 Chief Coordinators and
Representatives for the Major
Components and Observing Systems 4.3
Operations Center Layout
- http//www.met.tamu.edu/ciams/heat/index.html
12Primary Goals of the HEAT Project
- Evaluate the pollution effects (small aerosols)
and precipitation suppression - Evaluate the urban heat island (UHI) dynamics
(e.g. Huff and Changnon 1972) - Evaluate the effect of a complex coastline
- Low level convergence
- Interaction of sea breeze with UHI
- Effect of sea breeze on convection intensity
13- Atmospheric Chemistry
- Thunderstorms are efficient in transporting
planetary boundary air to higher levels. Flux of
certain atmospheric constituents (CO, CO2, O3,
HC, NOx and aerosols) will be measured by
aircraft observations into and out of storms. - Lightning Total lightning (IC and CG) will be
measured. Why a 58 enhancement (CG) over urban
area?
14Scientific objectives
- Lightning
- Measure the total lightning over Houston
- Determine the lightning polarity over Houston
- Obtain thunderstorm electric field profiles over
Houston and over non-urban environments.
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- Cloud microphysics
- Objective M1 Mixed-phase region
- Objective M2 Cloud droplet spectra
- Objective M3 Precipitation drop-size
distributions - Objective M4 Pollution effects in the
early-storm stages
16(cont)
- Urban heat island dynamics
- Objective U1 Urban heat island thermodynamics
- Objective U2 Urban wind modification
- Objective U3 Urban updraft enhancement
- Objective U4 Urban effects on convective storm
mergers and lightning production
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- The effect of a complex coastline
- Objective C1 Sea breeze modification low level
convergence field associated with a complex
coastline and its effects on convective
initiation - Objective C2 Sea breeze interaction with the
Houston heat island - Objective C3 Intensity of sea breeze convection
18(cont)
- Atmospheric chemistry
- Objective A1 NOx production by lightning
- Objective A2 Transport and fate of pollutants in
thunderstorms - Objective A3 Effect of urban thunderstorms on
upper tropospheric chemistry
19Project Overview Approximate locations of
CSU-CHILL polarimetric radar, S-Pol polarimetric
radar, NWS WSR-88D radar, upper air sites, TAOS
sites, and wind profiler sites. The Houston
metro area is outlined in red.
20Total (CG plus IC) Lightning and Polarimetric
Radar Measurements
21Note that the sensor spacing is closer in the
middle of the network and farther apart on the
outside of Houston. Green stars airports with
the exception of the green star in the center of
Houston.
22 Radar Systems
- NCAR S-Pol radar
- CSU-CHILL Research radar
- NWS WSR-88D Operational weather radar
- Texas AM, NSSL, OU, Texas Tech mobile C- band
radars (2)
23Aircraft Systems
- University of Wyoming King Air
- WMI Lear Jet
- North Dakota Citation
- Airborne chemistry instrumentation (Baylor)
- HIAPER
24Balloon Sounding Units
- MGLASS Units (2)
- Mobile electrical sounding units (2)
- TAOS units
- Upper air sounding station
25Lightning Detection
- National Lightning Detection Network (NLDN) for
CG lightning (in place since 1989) - Lightning Detection and Ranging (LDAR II) network
(Funded September 2003 NSF) to detect total
lightning (IC and CG)
26Conclusions
- Field observing systems in HEAT (2005) will
include - Radar systems
- Surface mesonet systems
- Aircraft
- Balloon sounding units
- Lightning detection and mapping arrays
- All lightning discharges are detected
- Cloud-to-ground
- Intracloud
- Up to several thousand locations for an
individual flash - Location accuracy of 50 to 100 meters
- Charge layers can be identified
- Flash type can be identified
27The Beginning!
28 Time of Arrival Lightning Mapping System (LDAR
II)
Radiation occurs at time t, at location (x, y, z)
- Measure time RF pulse arrives at multiple
stations - Determine position and time of source
- Locate hundreds to thousands of sources per flash
Radiation arrives at station i at time ti,
location (xi, yi, zi)
29Layout of LDAR II Plots
Altitude vs. Time (Color Coded)
Number of LDAR II Points vs. Height
Altitude vs. x
Plan View (x vs. y)
Altitude vs. y
30LDAR II Image of an airplane avoiding thunderstorm
s 20 Minutes of Data Plane Flying 400 MPH
at 30,000 ft
31Intra-Cloud Lightning
32Cloud-to-Ground Lightning
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35LDAR-II Antenna FAA Facility in Texas Ground
Mount
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37LDAR-II Antenna -Roof of DFWAirport
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39Note that the sensor spacing is closer in the
middle of the network and farther apart on the
outside of Houston. Green stars airports with
the exception of the green star in the center of
Houston.
403D/2D Lightning Mapping - LDAR II
- Most advanced lightning detection capability in
the world - In 1997, GAI and NASA entered into a technology
transfer agreement (NASA had been using VHF
lightning detection for many years) - In 1999, GAI and NMT began a collaboration that
lead to the future commercialization of LDAR II
(NMT had developed a similar VHF lightning
detection sensor with slightly different
technology) - 3-Dimensional mapping within network perimeter
- 100-200 meter or better location accuracy
- Greater than 95 expected flash detection
efficiency - Reduces to 2-dimensional mapping well outside of
the network (150 km) - 2 km or better location accuracy
- Greater than 90 expected flash detection
efficiency
41Conclusions
- Field observing systems in HEAT (2005) will
include - Radar systems
- Surface mesonet systems
- Aircraft
- Balloon sounding units
- Lightning detection and mapping arrays
- All lightning discharges are detected
- Cloud-to-ground
- Intracloud
- Up to several thousand locations for an
individual flash - Location accuracy of 50 to 100 meters
- Charge layers can be identified
- Flash type can be identified
42The Beginning!
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44- Lightning sensor for cloud-to-ground lightning
- Installation for experimental use at Texas AM
45Option I No Storm/Before Storm Initiation/Before
Storm Enters Domain (including Sea Breeze)
- Goals Document ambient pollution levels,
vertical atmospheric thermodynamic structure and
E-fields - Instruments King air, T-28, MGLASS, mobile
electrical sounding units
Harris County
Sea Breeze Front
46Option IIIsolated Urban Storm
- Goals Document storm cloud droplet spectra, ice
nuclei content, and amount of supercooled water
E-field measurements inside/outside of storm - Instruments T-28, mobile electrical sounding
units
47Option IIIIsolated Environmental and Urban
Storms in Coexistence
- Goals Document cloud droplet spectra, ice nuclei
content, amount of supercooled water, and
E-fields in/near convective cores for an urban
and one environmental storm. - Instruments T-28, mobile electrical sounding
units
48Option IVStorm System Transgressing Study Area
(i.e., squall line)
- Goals Document cloud droplet spectra, ice nuclei
content, amount of supercooled water, and
E-fields in/near convective cores for urban and
environmental portions of the system. Sample
before, during, and after propagating through
Houston. - Instruments T-28, mobile electrical sounding
units
49Title The Houston Environmental Aerosol
Thunderstorm (HEAT) Project Principal
Investigators Richard Orville, John
Nielsen-Gammon, Renyi Zhang, and Don Collins
(Texas AM University) Proposed Co-investigators
Danny Rosenfeld (Hebrew University), William
Woodley (Woodley, Inc.), Earle Williams (MIT),
John Helsdon and Andy Detwiler (South Dakota
Tech), Steve Rutledge (Colorado State), Paul
Krehbiel (New Mexico Tech), Maribeth Stolzenburg
and Tom Marshall (U. of Mississippi), Walt Lyons
(FMA, Inc.), Ron Holle, Ken Cummins, and Nick
Demetriades (Global Atmospherics, Inc.), David
Rust and Don MacGorman (National Severe Storms
Laboratory), Bill Read and Steve Allen (National
Weather Service, Houston), Daewon Byun
(University of Houston), J. G. Hudson (Desert
Research Institute, Nevada), J. Marshall Shepherd
(NASA-Goddard), Gary Huffines (U.S. Air Force),
NCAR-MMM personnel to be determined, Lead
Institutions Texas AM University and the
National Center for Atmospheric Research
(NCAR) Project Period Four years (2003-2007)
field program (summer 2005)