Year |
Citation |
Score |
2017 |
Ansari S, Greco SD, Kearns E, Brown O, Wilkins S, Ramamurthy M, Weber J, May R, Sundwall J, Layton J, Gold A, Pasch A, Lakshmanan V. Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership Bulletin of the American Meteorological Society. 99: 189-204. DOI: 10.1175/Bams-D-16-0021.1 |
0.306 |
|
2016 |
Smith TM, Lakshmanan V, Stumpf GJ, Ortega KL, Hondl K, Cooper K, Calhoun KM, Kingfield DM, Manross KL, Toomey R, Brogden J. Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities Bulletin of the American Meteorological Society. 97: 1617-1630. DOI: 10.1175/Bams-D-14-00173.1 |
0.306 |
|
2015 |
Clark AJ, Mackenzie A, Mcgovern A, Lakshmanan V, Brown RA. An automated, multiparameter dryline identification algorithm Weather and Forecasting. 30: 1781-1794. DOI: 10.1175/Waf-D-15-0070.1 |
0.385 |
|
2015 |
Hwang Y, Clark AJ, Lakshmanan V, Koch SE. Improved nowcasts by blending extrapolation and model forecasts Weather and Forecasting. 30: 1201-1217. DOI: 10.1175/Waf-D-15-0057.1 |
0.326 |
|
2015 |
Lakshmanan V, Karstens C, Krause J, Elmore K, Ryzhkov A, Berkseth S. Which Polarimetric Variables Are Important for Weather/No-Weather Discrimination? Journal of Atmospheric and Oceanic Technology. 32: 1209-1223. DOI: 10.1175/Jtech-D-13-00205.1 |
0.368 |
|
2015 |
Lakshmanan V, Herzog B, Kingfield D. A method for extracting postevent storm tracks Journal of Applied Meteorology and Climatology. 54: 451-462. DOI: 10.1175/Jamc-D-14-0132.1 |
0.37 |
|
2015 |
Wang G, Hong Y, Liu L, Wong WK, Zahraei A, Lakshmanan V. Inter-comparison of radar-based nowcasting schemes in the Jianghuai River Basin, China Meteorological Applications. 22: 289-300. DOI: 10.1002/Met.1451 |
0.339 |
|
2014 |
Tang L, Zhang J, Langston C, Krause J, Howard K, Lakshmanan V. A Physically Based Precipitation–Nonprecipitation Radar Echo Classifier Using Polarimetric and Environmental Data in a Real-Time National System Weather and Forecasting. 29: 1106-1119. DOI: 10.1175/Waf-D-13-00072.1 |
0.413 |
|
2014 |
Smith TM, Gao J, Calhoun KM, Stensrud DJ, Manross KL, Ortega KL, Fu C, Kingfield DM, Elmore KL, Lakshmanan V, Riedel C. Examination of a real-time 3DVAR analysis system in the hazardous weather testbed Weather and Forecasting. 29: 63-77. DOI: 10.1175/Waf-D-13-00044.1 |
0.385 |
|
2014 |
Lakshmanan V, Karstens C, Krause J, Tang L. Quality control of weather radar data using polarimetric variables Journal of Atmospheric and Oceanic Technology. 31: 1234-1249. DOI: 10.1175/Jtech-D-13-00073.1 |
0.389 |
|
2014 |
Lakshmanan V, Humphrey TW. A map reduce technique to mosaic continental-scale weather radar data in real-time Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 7: 721-732. DOI: 10.1109/Jstars.2013.2282040 |
0.395 |
|
2013 |
Gao J, Smith TM, Stensrud DJ, Fu C, Calhoun K, Manross KL, Brogden J, Lakshmanan V, Wang Y, Thomas KW, Brewster K, Xue M. A real-time weather-adaptive 3DVAR analysis system for severe weather detections and warnings Weather and Forecasting. 28: 727-745. DOI: 10.1175/Waf-D-12-00093.1 |
0.375 |
|
2013 |
Lakshmanan V, Hondl K, Potvin CK, Preignitz D. An improved method for estimating radar echo-top height Weather and Forecasting. 28: 481-488. DOI: 10.1175/Waf-D-12-00084.1 |
0.352 |
|
2013 |
Miller ML, Lakshmanan V, Smith TM. An automated method for depicting mesocyclone paths and intensities Weather and Forecasting. 28: 570-585. DOI: 10.1175/Waf-D-12-00065.1 |
0.362 |
|
2013 |
Newman JF, Lakshmanan V, Heinselman PL, Richman MB, Smith TM. Range-correcting Azimuthal shear in doppler radar data Weather and Forecasting. 28: 194-211. DOI: 10.1175/Waf-D-11-00154.1 |
0.339 |
|
2013 |
Lakshmanan V, Miller M, Smith T. Quality control of accumulated fields by applying spatial and temporal constraints Journal of Atmospheric and Oceanic Technology. 30: 745-758. DOI: 10.1175/Jtech-D-12-00128.1 |
0.355 |
|
2013 |
Sieglaff JM, Hartung DC, Feltz WF, Cronce LM, Lakshmanan V. A Satellite-Based Convective Cloud Object Tracking and Multipurpose Data Fusion Tool with Application to Developing Convection Journal of Atmospheric and Oceanic Technology. 30: 510-525. DOI: 10.1175/Jtech-D-12-00114.1 |
0.371 |
|
2013 |
Kain JS, Coniglio MC, Correia J, Clark AJ, Marsh PT, Ziegler CL, Lakshmanan V, Miller SD, Dembek SR, Weiss SJ, Kong F, Xue M, Sobash RA, Dean AR, Jirak IL, et al. A feasibility study for probabilistic convection initiation forecasts based on explicit numerical guidance Bulletin of the American Meteorological Society. 94: 1213-1225. DOI: 10.1175/Bams-D-11-00264.1 |
0.301 |
|
2012 |
Cintineo JL, Smith TM, Lakshmanan V, Brooks HE, Ortega KL. An objective high-resolution hail climatology of the contiguous United States Weather and Forecasting. 27: 1235-1248. DOI: 10.1175/Waf-D-11-00151.1 |
0.352 |
|
2012 |
Lakshmanan V, Crockett J, Sperow K, Ba M, Xin L. Tuning AutoNowcaster automatically Weather and Forecasting. 27: 1568-1579. DOI: 10.1175/Waf-D-11-00141.1 |
0.311 |
|
2012 |
Marsh PT, Kain JS, Lakshmanan V, Clark AJ, Hitchens NM, Hardy J. A Method for calibrating deterministic forecasts of rare events Weather and Forecasting. 27: 531-538. DOI: 10.1175/Waf-D-11-00074.1 |
0.331 |
|
2012 |
Lakshmanan V, Zhang J, Hondl K, Langston C. A statistical approach to mitigating persistent clutter in radar reflectivity data Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 5: 652-662. DOI: 10.1109/Jstars.2011.2181828 |
0.384 |
|
2012 |
Zahraei A, Hsu Kl, Sorooshian S, Gourley JJ, Lakshmanan V, Hong Y, Bellerby T. Quantitative Precipitation Nowcasting: A Lagrangian Pixel-Based Approach Atmospheric Research. 118: 418-434. DOI: 10.1016/J.Atmosres.2012.07.001 |
0.386 |
|
2012 |
Kolodziej Hobson AG, Lakshmanan V, Smith TM, Richman M. An automated technique to categorize storm type from radar and near-storm environment data Atmospheric Research. 111: 104-113. DOI: 10.1016/J.Atmosres.2012.03.004 |
0.416 |
|
2011 |
McCarroll S, Yeary M, Hougen D, Lakshmanan V, Smith S. Approaches for compression of super-resolution WSR-88D data Ieee Geoscience and Remote Sensing Letters. 8: 191-195. DOI: 10.1109/Lgrs.2010.2058089 |
0.37 |
|
2011 |
Smith TM, Lakshmanan V. Real-time, rapidly updating severe weather products for virtual globes Computers and Geosciences. 37: 3-12. DOI: 10.1016/J.Cageo.2010.03.023 |
0.352 |
|
2011 |
Zhu M, Lakshmanan V, Zhang P, Hong Y, Cheng K, Chen S. Spatial verification using a true metric Atmospheric Research. 102: 408-419. DOI: 10.1016/J.Atmosres.2011.09.004 |
0.342 |
|
2010 |
Lakshmanan V, Kain JS. A Gaussian mixture model approach to forecast verification Weather and Forecasting. 25: 908-920. DOI: 10.1175/2010Waf2222355.1 |
0.34 |
|
2010 |
Lakshmanan V, Smith T. An objective method of evaluating and devising storm-tracking algorithms Weather and Forecasting. 25: 701-709. DOI: 10.1175/2009Waf2222330.1 |
0.338 |
|
2010 |
Lakshmanan V, Zhang J, Howard K. A technique to censor biological echoes in radar reflectivity data Journal of Applied Meteorology and Climatology. 49: 453-462. DOI: 10.1175/2009Jamc2255.1 |
0.359 |
|
2010 |
Roy SS, Lakshmanan V, Bhowmik SKR, Thampi SB. Doppler weather radar based nowcasting of cyclone Ogni Journal of Earth System Science. 119: 183-199. DOI: 10.1007/S12040-010-0016-7 |
0.393 |
|
2009 |
Lakshmanan V, Smith T. Data mining storm attributes from spatial grids Journal of Atmospheric and Oceanic Technology. 26: 2353-2365. DOI: 10.1175/2009Jtecha1257.1 |
0.376 |
|
2009 |
Lakshmanan V, Hondl K, Rabin R. An efficient, general-purpose technique for identifying storm cells in geospatial images Journal of Atmospheric and Oceanic Technology. 26: 523-537. DOI: 10.1175/2008Jtecha1153.1 |
0.367 |
|
2009 |
Adrianto I, Trafalis TB, Lakshmanan V. Support vector machines for spatiotemporal tornado prediction International Journal of General Systems. 38: 759-776. DOI: 10.1080/03081070601068629 |
0.337 |
|
2007 |
Lakshmanan V, Smith T, Stumpf G, Hondl K. The warning decision support system-integrated information Weather and Forecasting. 22: 596-612. DOI: 10.1175/Waf1009.1 |
0.357 |
|
2007 |
Lakshmanan V, Fritz A, Smith T, Hondl K, Stumf G. An automated technique to quality control radar reflectivity data Journal of Applied Meteorology and Climatology. 46: 288-305. DOI: 10.1175/Jam2460.1 |
0.376 |
|
2007 |
Lakshmanan V. Overview of radar data compression Proceedings of Spie - the International Society For Optical Engineering. 6683. DOI: 10.1117/12.740171 |
0.382 |
|
2006 |
Lakshmanan V, Smith T, Hondl K, Stumpf GJ, Witt A. A real-time, three-dimensional, rapidly updating, heterogeneous radar merger technique for reflectivity, velocity, and derived products Weather and Forecasting. 21: 802-823. DOI: 10.1175/Waf942.1 |
0.372 |
|
2006 |
Pal NR, Mandal AK, Pal S, Das J, Lakshmanan V. Fuzzy rule-based approach for detection of bounded weak-echo regions in radar images Journal of Applied Meteorology and Climatology. 45: 1304-1312. DOI: 10.1175/Jam2408.1 |
0.381 |
|
2003 |
Lakshmanan V, Rabin R, DeBrunner V. Multiscale storm identification and forecast Atmospheric Research. 67: 367-380. DOI: 10.1016/S0169-8095(03)00068-1 |
0.574 |
|
2002 |
Lakshmanan V, DeBrunner VE, Rabin R. Nested partitions using texture segmentation Proceedings of the Ieee Southwest Symposium On Image Analysis and Interpretation. 2002: 153-157. DOI: 10.1109/IAI.2002.999909 |
0.525 |
|
2000 |
Lakshmanan V. Speeding up a large-scale filter Journal of Atmospheric and Oceanic Technology. 17: 468-473. DOI: 10.1175/1520-0426(2000)017<0468:Sualsf>2.0.Co;2 |
0.302 |
|
2000 |
Lakshmanan V, DeBrunner V, Rabin R. Texture-based segmentation of satellite weather imagery Ieee International Conference On Image Processing. 2: 732-735. |
0.538 |
|
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