Improving Severe Weather Forecasting: Hyperspectral IR Data and Low-level Inversions

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Improving Severe Weather Forecasting: Hyperspectral IR Data and Low-level Inversions

June 07, 2005 Case Study Justin M. Sieglaff

Cooperative Institute for Meteorological Satellite Studies (CIMSS)

Department of Atmospheric and Oceanic Sciences

University of Wisconsin - Madison

Timothy J. Schmit

NOAA/NESDIS, SaTellite Applications and Research (STAR)

Advanced Satellite Products Branch (ASPB)

Steven A. Ackerman

Cooperative Institute for Meteorological Satellite Studies (CIMSS)

Department of Atmospheric and Oceanic Sciences

University of Wisconsin - Madison

Thanks also to…

Wayne Feltz, CIMSS

Bob Rabin, NSSL/CIMSS

Jun Li, CIMSS

Jinglong Li, CIMSS

Michael Morgan, UW

Jim Nelson, CIMSS

Gene Brusky, NWSFO GRB

Research Motivation

Goal: Determine how hyperspectral IR data can be used to detect lower tropospheric inversions and use this information to increase probability of detection AND decrease false alarm rate of severe weather events

• TAMDAR aircraft can provide high vertical resolution profile data; these profiles greatly aid in short term convection forecasts

• TAMDAR profiles limited spatially to regional airports and temporally to hours when flights operate; hyperspectral IR data can be used to provide high vertical resolution atmospheric soundings with increased spatial and temporal coverage over aircraft data

• TAMDAR/Hyperspectral IR data can in part be used to improve short term convection forecasts, especially when numerical models do not accurately capture state of the atmosphere

•Hyperspectral data such as AIRS/HES can improve capabilities over broadband data, like the current GOES sounder

GOES-12 B6

286.9 K

GOES-12 B7

291.7K

GOES-12 B8

294.4K

• Excerpt from watch number 425:

“… CAP IS WEAKENING RAPIDLY WITH

HEATING ACROSS CENTRAL WI WITH

MLCAPE APPROACHING 1000 J/KG. RUC

MODEL SOUNDINGS ACROSS CENTRAL

WI HAVE BEEN SHOWING STEEP LOW/MID

LEVEL LAPSE RATES NEARING 8C/KM

INDICATING AN INCREASING THREAT FOR

DAMAGING WINDS AND HAIL. …”

KCWA

2005 06 07 1850 UTC AIRS Granule

872 cm -1 (11.5 µm)

• Calculated and AIRS observed spectra for KCWA

~1900UTC (Note: AIRS observation is for nearby clear AIRS pixel due to clouds over KCWA)

• Note agreement between calculations and AIRS observation – confident in simulated datasets

• However, TAMDAR (green) shows the temperature inversion near 900 hPa, while the RUC (blue) inaccurately dissipated the inversion

• MCS dissipated as it entered WW #425 and watch was eventually cancelled

October 04, 2002 Retrieval

CART

SITE

Future Work

• Future work includes using higher resolution

AIRS forward model for radiances

• Development of methodology for detecting and monitoring lower tropospheric inversions in simulated and observed radiances, however this is complicated by need for retrieved skin temperature

• Below is simulated spectra for the same profile, but varied skin temperature

• Differences between ‘window regions’ and

‘absorption features’ (circled) have different sign depending on skin temperature

• Methodology will need to account for differences imparted by skin temperature, as well as moisture profile

• Brightness temperature difference for two simulated TBB spectra for the inversion noted in the June 7, 2005 case

Select References

The Utility of TAMDAR Regional Aircraft Sounding Data in Short-term

Convective Forecasting , Eugene S. Brusky , NOAA/NWS, Green Bay, WI; and P. Kurimski, 10th Symposium on Integrated Observing and Assimilation

Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS),

February 2006

AirDat System for Ensuring TAMDAR Data Quality , Alan K. Anderson, 10th

Symposium on Integrated Observing and Assimilation Systems for the

Atmosphere, Oceans, and Land Surface (IOAS-AOLS), February 2006

AIRS Subpixel Cloud Characterization Using MODIS Cloud Products,

Jun Li, Et. Al., Journal of Applied Meteorology, August 2004

2002 10 04 1945 UTC AIRS Granule

872 cm -1 (11.5 µm)

• Observed AIRS spectra for CART site, observed temperature and moisture profiles, and retrieved temperature and moisture profiles

• CIMSS/AIRS experimental retrieval (hyperspectral) detects inversion near 850 hPa, while current

GOES sounder (broadband) fails to capture inversion

• Hyperspectral (HES) ΔT for this simulation is larger than HES/PORD NEDT (black line)

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