CURRENT AND FUTURE TROPOSPHERIC APPLICATIONS (Feltz)

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ATMOSPHERIC EMITTED RADIANCE
INTERFEROMETER - CURRENT AND FUTURE
TROPOSPHERIC APPLICATIONS
W. F. Feltz, #D. Turner, H. B. Howell, R. Dedecker, *W. L. Smith and H. Woolf
6th ISTP Leipzig, Germany 14-20 September 2003
University of Wisconsin CIMSS/SSEC
*NASA LaRC, # Pacific Northwest National Laboratory
Tropospheric Profiling Meeting 2003
AERI
OVERVIEW
• Instrument Overview
• Some current AERI Applications
• Advancements in Temperature and Moisture
Retrieval (IHOP and CRYSTAL-FACE)
• Conclusions
Tropospheric Profiling Meeting 2003
AERI
INSTRUMENT OVERVIEW
ABB
IR Detector
Dewar with
Cooler Cold Finger
Stirling Cooler
Compressor
HBB
Bomem
Interferometer
Tropospheric Profiling Meeting 2003
AERI
AERI SPECIFICATIONS
• Spectral Resolution better than 1 cm-1
wavenumber from 520-3000 cm-1 (3 - 20 um)
• Calibrated to 1% ambient radiance (better
than 1 K ambient temperature)
• Automated and environmentally hardened
• Time resolution: 6 - 10 minutes (adjustable)
• Ground-based and portable
• Surface viewing mode and uplooking mode
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AERI
Experiment
GAPEX
CRSPE
WISP
PT SUR 1991
SPECTRE
Location
Denve r,CO
Madison, WI
Plattevill e, CO
Monterey, CA
Coffeyv ill e, KS
Date
October 1988
Nov-Dec 1989
March 1991
May 1991
Nov-Dec 1991
STORMFEST
PT SUR 1992
ARM SGP
VOCAR
CAMEX
OTIS
CAMEX II
CSP
WVIOP96
WINCE
WVIOP97
SHEBA
WALLOPS98
CAMEX3
WINTEX
WALLOPS99
WISC-T2000
WVIOP2000
AFWEX
TX-2001
CLAMS
IHOP
CRYSTAL-FACE
TX-2002
Senec a, KS
Monterey, CA
Lamont, OK
Pt Mugu, CA
Wall ops Island , VA
Gulf of Mexico
Wall ops Island , VA
R/V DISCOVERER
Lamont, OK
Madison, WI
Lamont, OK
Arctic Ice Pack
Wall ops Island , VA
And ros Island
Madison, WI
Wall ops Island , VA
Madison, WI
Lamont, OK
Lamont, OK
Lamont, OK
Wall ops Island , VA
OK Panhand le
Everg lades, Florida
Lamont, OK
Feb-Mar 1992
May 1992
Mar 1993- Jun 1995
Aug -Sep 1993
Sep-Oct 1993
Jan 1995
Aug -Sep 1995
Mar-Apr 1996
Sep 1996
Jan-Feb 1997
Sep-Oct 1997
Sep 1997-Aug 1998
Jul 1998
Aug -Sep 1998
Mar-Apr 1999
Aug 1999
Feb-Mar 2000
Sep-Oct 2000
Nov-Dec 2000
Mar-Apr 2001
Jun -Jul 2001
May-Jun 2002
Jul- Aug 2002
Nov-Dec 2002
Tropospheric Profiling Meeting 2003
AERI
Instrument ID
HIS
HIS, GB-HIS
GB-HIS
GB-HIS
GB-HIS, AERI
Prototype
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI-01 (LN2)
AERI-01 (LN2)
AERI-01 (LN2)
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI-00U
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI Prototyp e
AERI-03
AERI-03
AERI-03
UW AERI - 2 (AERIBAGO, SSEC)
DOE AERI - 8 (Kansas/Oklahoma, Alaska, S. Pacific)
U-Miami M-AERI - 3 (Florida)
Bomem AERI -8 (Italy, California, Maryland, Canada)
U Idaho P-AERI - 1 (Antarctica)
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AERI
Tropospheric Profiling Meeting 2003
AERI
AERI APPLICATIONS
Tropospheric Profiling Meeting 2003
AERI
Real-time Thermodynamic Retrievals
Six AERI systems (including Madison, WI) are currently processing
PBL retrievals in near real-time, allowing “on the fly” validation:
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AERI
AERI Cloud Phase Detection: Sample Results
Credits: Dr. David Turner Pacific Northwest National Laboratories
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AERI
INTERCOMPARISON OF TWO MARINE
AERIS MEASURING SST
16 Day Cruise
Hawaii
New Zealand
Track of the R/V Roger Revelle
28 Sept. - 14 Oct. 1997
Largest Daily Mean Difference: 0.020 K
Ten Day Mean Difference:
0.005 K
Credits: Dr. Peter Minnett U of Miami RSMAS
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AERI
Marine-AERI Cruises Conducted by U of
Miami Since 1996 to Obtain Ocean Surface
Skin Temperature and Emissivity
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AERI
AERI THERMODYNAMIC RETRIEVAL
SPECTRAL REGIONS
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AERI
AERI Thermodynamic Retrieval
Flow Chart
Radiosonde
Climatology Regression
Data Base
T,Q Surface to 3 Km
AERI Radiance
Hybrid First Guess
Cloud Base Height
(if present)
Physical Retrieval
NWP Model/Satellite
T,Q Profile 2 Km Tropopause
Temperature/
Moisture Profile
Surface Moisture
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AERI
AERIplus Retrieval Description
• Two step retrieval, construct optimal first guess than
conduct physical retrieval
– Statistical retrieval is a combined regression and NWP profile
– Physical retrieval used is iterative onion peel technique
• Temperature and water vapor mixing ratio profiles retrieved
from high resolution AERI spectra up to 3 km
• Temporal resolution ~ ten minutes (increasing to < 1
minute)
• Vertical resolution improved in lowest kilometer from
100 m to 50 m
• Fast model update based on LBLRTM with HITRAN
2000 trans. coeffs
• Constraints: AERI retrieval only possible in clear sky or
below cloud base to 3 kilometers
Tropospheric Profiling Meeting 2003
AERI
AERIplus, RUC, GOE-8 Profile Statistics
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AERI
Examples of the updated AERIplus temperature retrieval
improvement during the IHOP field experiment. The red profile was
calculated with old algorithm while the green profile uses the new
LBLRTM based fast model with improved vertical resolution and
spectroscopy as compared to radiosonde (thick black line)
Double inversion
resolved with new
algorithm
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AERI
IHOP AERIplus Retrieval RMS Statistics
Tropospheric Profiling Meeting 2003
AERI
AERI THERMODYNAMIC RETRIEVALS
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AERI
IHOP AERIplus Retrieval RMS Statistics
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AERI
Hillsboro
3 June 0230 UTC
Vici
Lamont
Purcell
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AERI
Morris
AERI
West – East AERI water
vapor cross sections
during IHOP
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AERI
Total Precipitable Water
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AERI
AERIPLUS COUPLED WITH NOAA WIND PROFILER
MOISTURE DIVERGENCE/ADVECTION
Storm Reports from 30 April 2003
Moisture Divergence Calculation
Credits: Robin Tanamachi U of Oklahoma
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AERI
Example: Crystal Rapid-sampling AERI data
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AERI
Applications of High Temporal Resolution AERI Data:
Boundary Layer Roll Detection during CRYSTAL
20 g/kg
40-s Profiles: 17-21 UTC
Altitude (km)
2.0
15
1.5
1.0
10
0.5
315 m
0
5
17
5
Time (UTC)
21
AERI WV (g/kg) Perturbations: 315 m
0
40 s Perturbation
5 min. Running Mean
-5
17
Time (UTC)
Tropospheric Profiling Meeting 2003
AERI
21
Applications of High Temporal Resolution AERI Data:
Boundary Layer Roll Detection during CRYSTAL
Perturbation Power Spectrum
17-25 min period at
99 % significance
AERI
Boundary
Layer Rolls
Boundary Layer Depth: 700 meters
Roll Wavelength: ~ 5 km, Updraft Width: ~1.5 km
Roll Orientation: 120°, Motion: 135°
GOES Derived Roll Periodicity: 23 minutes
GOES-8 1 km Visible: 1925 UTC, 7/29/02 AERI Derived Roll Periodicity: 17-25 mins
Mecikalski J.M., K. M. Bedka, D. D. Turner, and W.F. Feltz: Evidence for
the Presence of Roll Structures in the Convective Boundary Layer using
Thermodynamic Profiling Instruments. J. Geo. Res., In Preparation
Tropospheric Profiling Meeting 2003
AERI
Future Research Plans
• Updated AERIplus retrieval algorithm implemented at for DOE
ARM at PNNL, all AERI data from SGP with be reprocess with
RUC analysis at first guess
• High temporal resolution (< 1 minute) AERI radiance
measurements were collected at Crystal and Texas 2002 to test
improvement in gathering cloud and thermodynamic information,
all DOE ARM AERI systems will be in rapid sample mode in near
future
• Experimenting with SHEBA and NSA data using ECMWF analysis
as first guess (no RUC available) for PBL LES (Dr J. Pinto and Dr
J. Curry)
• Test new physical retrieval methodology will be tested to allow
error bars and error covariance matrixes to be calculated for
mesoscale model assimilation (working with Dr. D. Turner PNNL)
Tropospheric Profiling Meeting 2003
AERI
Future Research Plans
• A five year period of a five AERI system network with collocated
with exist for study of moisture temporal and spatial gradients
(students working in this direction)
• New research in determination of cloud properties (starting with
cloud phase) using emissivity observations derived from AERI
data (Dr. D. Turner presentation)
• Working with several groups outside the DOE ARM science team
on PBL and atmospheric stability research using the AERI
thermodynamic data
• Coupled with the Raman Lidar and wind profilers at the central
SGP facility near Lamont, Oklahoma there is a long-term
“treasure chest” of temperature, moisture, wind, and aerosol
tropospheric profile information which is underutilized for
tropospheric research (See Dr. R. Ferrare presention)
Tropospheric Profiling Meeting 2003
AERI
AERI Information:
• References:
–
Feltz, W. F., J. R. Mecikalski, 2002: Monitoring High Temporal Resolution Convective Stability
Indices Using the Ground-based Atmospheric Emitted Radiance Interferometer (AERI) During
the 3 May 1999 Oklahoma/Kansas Tornado Outbreak. Wea. Forecasting, 17, 445-455.
–
Feltz, W. F., H. B. Howell, R. O. Knuteson, H. M. Woolf, and H E. Revercomb, 2003: Near
Continuous Profiling of Temperature, Moisture, and Atmospheric Stability using the
Atmospheric Emitted Radiance Interferometer (AERI). J. Appl. Meteor., 42, 584-597.
–
Minnett, P. J., R. O. Knuteson, F. A. Best, B. J. Osborne, J. A. Hanafin, O. B. Brown, 2001: The
Marine-Atmospheric Emitted Radiance Interferometer: A High-Accuracy, Seagoing Infrared
Spectroradiometer. J. Atmos. Oceanic Technol, 18, 994-1013.
–
Tobin, D.C., and coauthors, Downwelling spectral radiance observations at the SHEBA ice
station: water vapor continuum measurements from 17 to 26 um. JGR, 104, 2081-2092.
–
Turner, D. D., W. F. Feltz, R. Ferrare, 2000: Continuous Water Vapor Profiles from Operational
Ground-based Active and Passive Sensors. Bull. Amer. Soc., 81, 1301-1317.
–
Turner D. D., S. A. Ackerman, B. A. Baum, H. E. Revercomb, and P. Yang, 2003: Cloud phase
determination using ground-based AERI observations at SHEBA. Journal of Applied
Meteorology, 42, 701-715.
•
AERI HOMEPAGE: http://cimss.ssec.wisc.edu/aeri/
•
EMAIL: wayne.feltz@ssec.wisc.edu
Tropospheric Profiling Meeting 2003
AERI
Statistical Retrieval Description
• Synthetic EOF Regression
• ~1100 clear radiosondes from DOE ARM central
facility near Lamont, Oklahoma for 1994-1996
• Forward calculations using 60-level fast model
based on AER LBLRTM
• EOF regression conducted relating each
radiosonde – spectrum (562 channels) pair
• Regression data set is very robust since a wide
variety of weather is experiences in northern
Oklahoma throughout the year
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AERI
Hybrid First Guess
• Statistical retrieval achieved during clear sky
conditions (no update until a clear scene is
present)
• Statistical retrieval errors grow rapidly with
altitude above one kilometer
• Satellite profiles and NWP can be used to
constrain the first guess through a simple linear
interpolation between 1-2 km
• This improved first guess constrains the physical
retrieval and improves PBL retrieval profile
• Currently combination of hourly RUC
analysis/AERI statistical retrieval used over
United States used to optimize the retrievals
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AERI
Physical Retrieval Description
• “Onion peel” retrieval methodology
• Physical iterative recursive retrieval solution of
the infrared radiative transfer equation
• During each iteration the temperature and water
vapor mixing ratio profile adjustments are made
to minimize the difference between observed and
calculated spectra
• To correctly account for forward model
spectroscopy and regression errors a static bias
is used for water vapor (not needed for
temperature retrieval spectral regions), currently
bias is static but dynamic bias ties to water vapor
is being considered with goal to be bias free
Tropospheric Profiling Meeting 2003
AERI
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