Tim Schmit
Cooperative Research Program
Advanced Satellite Products Branch (in Madison, Wisconsin)
Research Scientist
Tim Schmit
works at the Advanced Satellite Products Team within NOAA's NESDIS Office of
Research and Applications located in Madison, WI. Tim's experience with satellite
data and processing covers a number of areas, including calibration, simulations
and algorithms for processing satellite data into meteorological/environmental
information and has a lead role in some of the science applications for GOES-R.
Tim has extensive experience with data and deriving products from the current
GOES imager and sounder data. Tim's interest on GOES-R is truly end-to-end,
from the instruments, downlink, calibration, re-broadcast, distribution,
archive/access, visualization, product generation, validations and
applications. Tim got his Master's degree from the University of Wisconsin—Madison
in 1987.
Tim worked at the Cooperative Institute for Meteorological Satellite Studies
(CIMSS)
for 9 years prior to
joining NOAA/NESDIS
in April 1996. Since then, his research has pursued numerous avenues related to
satellite-based data, products and applications:
- Current GOES Imager Algorithm Development.
Have helped in developing a number of products from the current GOES Imager.
One example is the Clear
Sky Brightness Temperature (CSBT) that global numerical modelers are using
to better depict upper-level moisture. Another is the GOES Imager
cloud-top information product.
- Current GOES Sounder Algorithm Development.
Have helped in developing a number of products from the current GOES Sounder.
Examples include cloud-top
information and retrievals of atmospheric profiles and products such as
Total Precipitable
Water.
- GOES Calibration and Validations.
Tim has worked to monitor the quality of the
infrared calibrations
of both the imager and sounder. Tim is also a member of the GOES-R
calibration/validation steering committee.
- Future GOES Imager.
Some of Tim's GOES-R
Imager activities include: helping to define the early NOAA Advanced
Baseline Imager (ABI) TRD – Technical Requirements Documents, ABI
band selection and definitions, ABI simulations using a myriad of satellite
data, being a member of various committees.
- Future GOES Sounder.
Some GOES-R Sounder activities
include: helping to define the early NOAA (then called the ABS, now called the HES)
TRD – Technical Requirements Documents, HES trade-off studies, co-leads
the NOAA data compression group, and is a a member of various committees.
Most Recent Publications
T. J. Schmit, M. M. Gunshor, W. Paul Menzel, Jun Li, Scott Bachmeier, James
J. Gurka, 2005: Introducing
the Next-generation Advanced Baseline Imager (ABI) on GOES-R, Bull. Amer. Meteor. Soc.,
Vol. 8, pp. 1079-1096.
Li, J., C.-Y. Liu, H.-L. Huang, T. J. Schmit, X. Wu, W. P. Menzel, and J. J.
Gurka, 2005: Optimal Cloud-Clearing for AIRS Radiances Using MODIS., IEEE Trans. on
Geos. and Remote Sensing., Vol 43, pp. 1266-1278.
Bormin Huang, Alok Ahuja, Hung-Lung Huang, Timothy J. Schmit, and Roger W.
Heymann, 2004, Mean-removed Nearest Neighbor Reordering Based Lossless Compression
of 3D Hyperspectral Sounder Data. WSEAS TRANSACTIONS on CIRCUITS AND SYSTEMS,
Issue 4, Volume 3, June 2004.
Gunshor, M. M., T. J. Schmit, and W. P. Menzel, 2004: Intercalibration of the
Infrared Window and Water Vapor Channels on Operational Geostationary
Environmental Satellites Using a Single Polar Orbiting Satellite. J. Atmos.
Oceanic Technol., 21, 61-68.
Bormin Huang, Alok Ahuja and Hung-Lung Huang, Timothy J. Schmit and Roger
W. Heymann, 2004: Lossless Compression of 3D Hyperspectral Sounding Data
using Context-based Adaptive Lossless Image Codec with Bias-Adjusted Reordering.
Optical Engineering. Issue 9, 2071-2079.
Huang, B., A. Ahuja, H.-L. Huang, T. J. Schmit, and R. W. Heymann, 2004:
Improvements to Predictor-based Methods in Lossless Compression of 3D
Hyperspectral Sounding Data via Higher Moment Statistics. WSEAS
Transactions on Electronics, Issue 2, Vol. 1, 299-305.
Li, J., W. P. Menzel, F. Sun, T. J. Schmit, and J. Gurka, 2004:
AIRS sub-pixel cloud characterization using MODIS cloud products.
J. Appl. Meteor. Vol. 43, No. 8, pp. 1083–1094.
Li, J., W. P. Menzel, W. Zhang, F. Sun, T. J. Schmit, J. Gurka, and
E. Weisz, 2004: Synergistic use of MODIS and AIRS in a variational
retrieval of cloud parameters. J. Appl. Meteor., Vol 43, No.
11, 1619-1634.
Feltz W. F., D. Posselt, J. Mecikalski, G. S. Wade, and T. J. Schmit,
2003: Rapid boundary layer water vapor transitions, Bull. Amer. Meteor. Soc.,
Vol 84, pp. 29-23.
Hillger, D. W., T. J. Schmit, and J. M. Daniels, 2003: Imager and
sounder radiance and product validations for the GOES-12 science test,
NOAA Technical Report 115, U.S. Department of Commerce, Washington, DC.
E-mail to: Tim.J.Schmit@noaa.gov
