GOES-R AWG (Algorithm Working Group) Model-Derived Proxy Datasets
NWP Modeling Investigators: Jason A. Otkin and H.-L. Allen Huang.
Objective: In support of the NOAA GOES-R mission and the ongoing GOES-R Risk Reduction (GOES-R3) effort, the GOES-R Algorithm Working Group (AWG) was created in order to manage and coordinate development of GOES-R products and validation activities that will support preparation for GOES-R implementation and operations. As part of this project, sophisticated numerical weather prediction (NWP) models have been used to generate simulated atmospheric profile datasets with high spatial and temporal resolution for a wide range of atmospheric conditions. These proxy datasets are subsequently used by various GOES-R team members for algorithm development and demonstration activities.
Atmospheric Profile Datasets
24 June 2003 FULLDISK Simulation
FULLDISK Dataset Documentation (coming soon)
Please complete the on-line form for access to this dataset.
Atmospheric Profile Datasets
|Other Modeling Projects
29 November 2006 Southern Plains Cold Front
24-25 June 2003 Northern Plains Convection Simulation
Publications List for Jason A. Otkin
Journal Articles Using Synthetic Satellite Datasets or Model Simulations
Bormann, N., A. Hernandez-Carrascal, R. Borde, H.-J. Lutz, J. A. Otkin, and S. Wanzong, 2012: Atmospheric motion vectors from model simulations. Part I: Methods and characterisation as single-level estimates of wind. Submitted to J. Appl. Meteor. Climatol.
Bikos, D., D. T. Lindsey, J. A. Otkin, J. Sieglaff, L. Grasso, C. Siewart, J. Correia, M. Coniglio, R. Rabin, J. Kain, and S. Dembek, 2012: Synthetic satellite imagery for real-time high resolution model evaluation. Wea. Forecasting, 27, 784-795.
Lakshmanan, V., R. Rabin, J. A. Otkin, and J. S. Kain, 2012: Visualizing model data using a fast approximation of a radiative transfer model. J. Atmospheric and Oceanic Tech., 29, 745-754.
Li, J., J. Li, J. A. Otkin, T. J. Schmit, and C.-Y. Liu, 2011: Warning information in a Preconvection Environment from the Geostationary Advanced Infrared Sounding System -- A simulation using the IHOP case. J. Appl. Meteor. Climatol., 50, 776-783.
Greenwald, T. J., Y.-K. Lee, J. A. Otkin, and T. L'Ecuyer, 2010: Evaluation of midlatitude clouds in a large-scale high-resolution simulation using CloudSat observations. J. Geophys. Res., 115, D19203, doi:10.1029/2009JD013552.
Hartung, D. C., J. A. Otkin, J. E. Martin, and D. D. Turner, 2010: The life cycle of an undular bore and its interaction with a shallow, intense cold front. Mon. Wea. Rev., 138, 886-908.
Bedka, K. M., J. Brunner, R. Dworak, W. Feltz, J. A. Otkin, and T. J. Greenwald, 2010: Objective overshooting top detection using infrared window channel brightness temperature gradients. J. Appl. Meteor. Climatol., 49, 181-202.
Otkin, J. A., T. J. Greenwald, J. Sieglaff, and H.-L. Huang, 2009: Validation of a large-scale simulated brightness temperature dataset using SEVIRI satellite observations. J. Appl. Meteor. Climatol., 48, 1613-1626.
Feltz, W. F., K. M. Bedka, J. A. Otkin, T. Greenwald, and S. A. Ackerman, 2009: Understanding satellite-observed mountain wave signatures using high-resolution numerical model data. Wea. Forecasting, 24, 76-86.
Otkin, J. A., and T. J. Greenwald, 2008: Comparison of WRF model-simulated and MODIS-derived cloud data. Mon. Wea. Rev., 136, 1957-1970.
J. A., D. J. Posselt, E. R. Olson, H.-L. Huang, J. E. Davies, J.
Li, and C. S. Velden, 2007: Mesoscale numerical weather
prediction models used in support of infrared hyperspectral
measurements simulation and product algorithm development. J. Atmospheric and Oceanic Tech., 24, 585-601.