Warning Decision Support System -- Integrated Information

Algorithm or data feed

Description

Formal citation

WDSS-II

WDSS-II as a whole

V. Lakshmanan, T. Smith, G. J. Stumpf, and K. Hondl, ``The warning decision support system - integrated information,'' Weather and Forecasting, vol. 22, no. 3, pp. 596-612, 2007.

Miscellaneous tools

Spatial analysis tools in WDSS-II

V. Lakshmanan, Automating the Analysis of Spatial Grids: A Practical Guide to Data Mining Geospatial Images for Human and Environmental Applications. 
Springer, 2012. 
ISBN: 978-94-007-4074-7. 

w2merger

How data from multiple radars are combined

V. Lakshmanan and T. W. Humphrey, ``A mapreduce technique to mosaic continental-scale weather radar data in real-time,'' IEEE J. of Select Topics in Appl. Earth Obs. and Remote Sensing, in Review, 2013.

V. Lakshmanan, T. Smith, K. Hondl, G. J. Stumpf, and A. Witt, ``A real-time, three dimensional, rapidly updating, heterogeneous radar merger technique for reflectivity, velocity and derived products,'' Weather and Forecasting, vol. 21, no. 5, pp. 802-823, 2006.

w2merger (POSH, SHI, etc.)

Hail algorithms

Ortega, K.L., T.M. Smith, K.L. Manross, K.A. Scharfenberg, A. Witt, A.G. Kolodziej, and J.J. Gourley, 2009: The Severe Hazards Analysis and Verification Experiment. Bull. Amer. Meteor. Soc., 90, 1519–1530

J. Cintineo, T. Smith, V. Lakshmanan, H. Brooks, and K. Ortega, ``An objective high-resolution hail climatology of the contiguous united states,'' Wea. Forecasting, vol. 27, pp. 1235-1248, 2012.

w2segmotionll -X

Probability of cloud-to-ground lightning

(1)    V. Lakshmanan and T. Smith, ``Data mining storm attributes from spatial grids,'' J. Ocea. and Atmos. Tech., vol. 26, no. 11, pp. 2353-2365, 2009.

(2)    V. Lakshmanan and T. Smith, ``Lighting warning and prediction using observations and models,'' in 4th Conference on the Meteorological Applications of Lightning Data, (Phoenix), p. 6.4, Amer. Meteor. Soc., Jan 2009

w2segmotionll -X

Automated storm type classification

(1)    V. Lakshmanan and T. Smith, ``Data mining storm attributes from spatial grids,'' J. Ocea. and Atmos. Tech., vol. 26, no. 11, pp. 2353-2365, 2009.

(2)    Kolodziej, A. and V. Lakshmanan, Using a K-Means clustering and watershed algorithm to automatically classify convective storm types in 8^th Conference on Artificial Intelligence Applications to Environmental Science, (Altanta) p 455, Amer. Meteo. Soc., Jan 2010

w2segmotionll/cg or w2localmax or

w2advectorll/cg

(1)   Identifying storm cells

(2) Tracking cells

(2)   Motion estimation and Advection

(3)   Attribute extraction

(1)    V. Lakshmanan, K. Hondl, and R. Rabin, ``An efficient, general-purpose technique for identifying storm cells in geospatial images,'' J. Ocean. Atmos. Tech., vol. 26, , no. 3, pp. 523-37, 2009

(2)    V. Lakshmanan and T. Smith, ``An objective method of evaluating and devising storm tracking algorithms,'' Wea. and Forecasting, pp. 721-729, vol. 29 no. 3, 2010. 

(3)    V. Lakshmanan, R. Rabin, and V. DeBrunner, ``Multiscale storm identification and forecast,'' J. Atm. Res., vol. 67, pp. 367-380, July 2003.

(4)   V. Lakshmanan and T. Smith, ``Data mining storm attributes from spatial grids,'' J. Ocea. and Atmos. Tech., vol. 26, no. 11, pp. 2353-2365, 2009.

w2qcnn

Radar data quality control

(1) V. Lakshmanan, A. Fritz, T. Smith, K. Hondl, and G. J. Stumpf, ``An automated technique to quality control radar reflectivity data,'' J. Applied Meteorology, vol. 4

(2) V. Lakshmanan, J. Zhang, and K. Howard, ``A technique to censor biological echoes in radar reflectivity data,'' J. Applied Meteorology, vol. 49, pp. 435-462, 3 2010

w2qcnndp

Radar data quality control using dual-pol variables

V. Lakshmanan, C. Karstens, J. Krause, and L. Tang, ``Quality control of weather radar data using polarimetric variables,'' J. Atm. Ocea. Tech., vol. 0, p. under review, 2013.

w2ltg

Total Lightning density

V. Lakshmanan, K. Hondl, and G. Stumpf, ``Preprints, the uses of lightning mapping array data in WDSS-II,'' in 22nd Conference on Severe Local Storms, (Hyan

w2smooth

Smoothing filters

V. Lakshmanan, ``A separable filter for directional smoothing,'' IEEE Geosc. and Remote Sensing Letters, vol. 1, pp. 192-195, 7 2004.

w2circ, rotation tracks

Azimuthal shear

Smith, T.M. and K. L. Elmore, 2004: The use of radial velocity derivatives to diagnose rotation and divergence. Preprints, 11th Conf. on Aviation, Range, and Aerospace, Hyannis, MA, Amer. Meteor. Soc., P5.6 - CD preprints.

M. Miller, V. Lakshmanan, and T. Smith, ``An automated method for depicting mesocyclone paths and intensities,'' Wea. Forecasting, vol. 1, p. 1, 2012. 

V. Lakshmanan, M. Miller, and T. Smith, ``Quality control of accumulated fields by applying spatial and temporal constraints,'' J. Atmos. Ocean. Tech., vol. 30, pp. 745-757, 2013

w2accumulator

Rotation tracks, hail tracks, etc.

V. Lakshmanan, M. Miller, and T. Smith, ``Quality control of accumulated fields by applying spatial and temporal constraints,'' J. Atmos. Ocean. Tech., vol. 30, pp. 745-757, 2013. 

w2birddensity

Estimating bird density based on VPR

Buler, J. and Lakshmanan, V. and La Puma, D, “Improving Weather Radar Data Processing for Biological Research Applications: Final Report”, Technical Report to Patuxtent Wildlife Research Center, USGS, Laurel MD, 2012, 15pp.

Google Earth images from http://wdssii.nssl.noaa.gov/

The continental US (CONUS) WDSSII system and the KML markup of that data for Google Earth

1.       T. Smith and V. Lakshmanan, ``Real-time, rapidly updating severe weather products for virtual globes,'' Computers and Geosciences, p. subm., 2009

2.       V. Lakshmanan, T. Smith, K. Hondl, G. J. Stumpf, and A. Witt, ``A real-time, three dimensional, rapidly updating, heterogeneous radar merger technique for reflectivity, velocity and derived products,'' Weather and Forecasting, vol. 21, no. 5, pp. 802-823, 2006.

3.       Smith, T.M. and V. Lakshmanan, 2006: Utilizing Google Earth as a GIS platform for weather applications. 22nd Conference on Interactive Information Processing Systems, Atlanta, GA, Amer. Meteo. Soc.