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.

w2merger

How data from multiple radars are combined

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.

w2segmotionll/cg or w2localmax or

w2advectorll/cg

(1)   Identifying and tracking cells

(2)   Motion estimation

(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

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

(3)   V. Lakshmanan and T. Smith, ``Data mining storm attributes from spatial grids,'' J. Ocea. and Atmos. Tech., p. Under review, 2008.

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. 1, p. subm., 1 2009.

w2ltg

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

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.

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.       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.

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.

w2merger (POSH, SHI, etc.)

Hail algorithms

Ortega, K.L, and T.M. Smith, 2006: Verification of multi-sensor, multi-radar hail diagnosis techniques. 1st Severe Local Storms Special Symposium, Atlanta, GA, Amer. Meteo. Soc.