CIRA Publications


Shi W., Wang M. and Jiang L., Tidal effects on ecosystem variability in the Chesapeake Bay, Remote Sensing of Environment, Volume 138, November 2013, Pages 65-76, ISSN 0034-4257,

DeMaria, M., J.A. Knaff, M. Brennan, D. Brown, R. Knabb, R.T, DeMaria, A.B. Schumacher, C. Lauer, D. Roberts, C. Sampson, P. Santos, D. Sharp, and K. Winters, 2013: Improvements to the operational tropical cyclone wind speed probability model, Wea. Forecasting, 28, 586-602. doi:

Boukabara, S-A., K. Garrett, C. Grassotti, F. Iturbide-Sanchez, W. Chen, Z. Jiang, S.A. Clough, X. Zhan, P. Liang, Q. Liu, T. Islam, V. Zubko and A. Mims, (2013), A physical approach for a simultaneous retrieval of sounding, surface, hydrometeor & cryosphericparameters from SNPP/JPSS ATMS, J. Geophys. Res. Atmos., 118, 12,600-12,619, doi:

Son S and Wang M., Water properties in Chesapeake Bay from MODIS-Aqua measurements, Remote Sensing of Environment, Volume 123, August 2012, Pages 163-174, ISSN 0034-4257,

Hillger, D.W., T. Kopp, T. Lee, D.T. Lindsey, C. Seaman, S.D. Miller, J. Solbrig, S.Q. Kidder, S. Bachmeier, T. Jasmin, and T. Rink, 2013: First-Light Imagery from Suomi NPP VIIRS, Bull. Amer. Meteor. Soc., 94, 1019-1029. doi:

Cao, C., X. Xiong, S. Blonski, Q. Liu, S. Uprety, X. Shao, Y. Bai, F. Weng,, (2013), Suomi NPP VIIRS sensor data record verification, validation, and long-term performance monitoring, J. Geophys. Res. Atmos., 118, 11,664-11,678, doi:

Smith, R.A., C.D. Kummerow, 2013: A Comparison of in situ, reanalysis, and satellite water budgets over the Upper Colorado River Basin, J. Hydrometeor, 14, 888-905. doi:

Matrosov S. Y., Cifelli R. C. and Gochis D., 2013: Measurements of Heavy Convective Rainfall in the Presence of Hail in Flood-Prone Areas Using an X-Band Polarimetric Radar, J. Appl. Meteor. Climatol., 52, 395-407. doi:

Liang, X., and A. Ignatov, (2013), AVHRR, MODIS, and VIIRS radiometric stability and consistency in SST bands, J. Geophys. Res. Oceans, 118, 3161-3171, doi:

Slade, S. A., and E. D. Maloney, 2013: A Statistical Prediction Model for East Pacific and Atlantic Tropical Cyclone Genesis, Mon. Wea. Rev., 141, 1925-1942. doi:

Kuciauskas, A. J. Solbrig, T. Lee, J. Hawkins, S. D. Miller, M. Surratt, K. Richardson, R. Bankert, and J. Kent, 2013: New satellite meteorology technology unveiled, Bull. Amer. Meteor. Soc., 94, 1824-1825. doi:

Sapiano, M. R. P., Berg, W. K., McKague, D. S., and Kummerow, C. D.,, Towards an intercalibrated fundamental climate data record of the SSM/I sensors, Geoscience and Remote Sensing, IEEE Transactions on, vol.51, no.3, pp.1492,1503, March 2013 doi:

Knaff, J.A., M. DeMaria, C.R. Sampson, J.E. Peak, J. Cummings, W.H. Schubert, 2013: Upper oceanic energy response to tropical cyclone passage, J. Climate, 26, 2631-2650. doi:

Setvak M., Bedka K.M., Lindsey D. T., Sokol A., Charvat Z., Stastka J. and Wang P. K., A-Train observations of deep convective storm tops, Atmospheric Research, Volume 123, 1 April 2013, Pages 229-248, ISSN 0169-8095,

Li, X., J.A. Zhang, X. Yang, G. Pichel, M. DeMaria, D. Long, Z. Li, 2013: Tropical cyclone morphology from spaceborne synthetic aperture radar, Bull. Amer. Meteor. Soc., 94, 215-230. doi:

Toth, G. D.W. Hillger, A philatelic history of climate change, Weatherwise; (Jul-Aug 2013), p. 34

Noh, Y. J., C. J. Seaman, T. H. Vonder Haar, G. Liu, 2013: In situ aircraft measurements of water content profiles in various midlatitude mixed-phase clouds, J. Appl. Meteor. Climatol., 52, 269-279. doi:

Benedict J., Maloney E. D., Frierson D. M., Donner L. and Sobel A. H., 2013: Tropical intraseasonal variability in version 3 of the GFDL atmosphere model, J. Climate, 26, 426-449. doi:

Wang, M., S. Son, Y. Zhang, & W. Shi, Estimation of water radiance contribution at the MODIS SWIR 1240 nm band for China's inland Lake Taihu, Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol.6, no.6, pp.2505,2516, Dec. 2013 doi:

Sharma, N., M.M. Ali, J.A. Knaff, and P. Chand, (2013), A soft-computing cyclone intensity prediction scheme for the Western North Pacific Ocean, Atmosph. Sci. Lett., 14: 187-192. doi:

Grasso L. D., Hillger D. W., Schaaf C, Brummer R. L. and DeMaria R. T., Use of MODIS 16 day albedo values in the generation of synthetic GOES-R natural color imagery, J. Appl. Remote Sens. 7(1), 073584 (Feb 22, 2013). doi:

Walther, A., A. K. Heidinger, and S. Miller, (2013), The expected performance of cloud optical and microphysical properties derived from Suomi NPP VIIRS day/night band lunar reflectance, J. Geophys. Res. Atmos., 118, 13,230-13,240, doi:

Solbrig, J. E., T. F. Lee, and S. D. Miller, (2013), Advances in remote sensing: imaging the Earth by moonlight, Eos Trans. AGU, 94(40), 349 -

Wang, M, X. Liu, L. Tan, L. Jiang, S. Son, W. Shi, K. Rausch, and K. Voss, (2013), Impacts of VIIRS SDR performance on ocean color products, J. Geophys. Res. Atmos., 118, 10,347-10,360, doi:

Zhang, M., M. Zupanski, M.-J. Kim, J.A. Knaff, 2013: Assimilating AMSU-A radiances in the TC Core Area with NOAA Operational HWRF (2011) and a Hybrid Data Assimilation System: Danielle (2010), Mon. Wea. Rev., 141, 3889-3907. doi:

Ware, R., D. Cimini, E. Campos, G. Giuliana, S. Albers, M. Nelson, S.E. Koch, P. Joe, and S. Cober, Thermodynamic and liquid profiling during the 2010 Winter Olympics, Atmospheric Research, Volumes 132-133, October-November 2013, Pages 278-290, ISSN 0169-8095,

Schuh A. E., Lauvaux T., West T., Uliasz M., Lokupitiya E. Y., Andrews A., Cooley D., Denning A. S., Davis K. and Ogle S., (2013), Evaluating atmospheric CO2 inversions at multiple scales over a highly-inventoried agricultural landscape, Global Change Biology, 19: 1424-1439. doi:

Lindsey, D.T., T.J. Schmit, W.M. MacKenzie, Jr., C. P. Jewett, M.M. Gunshor, L.D. Grasso, 10.35 um: atmospheric window on the GOES-R Advanced Baseline Imager with less moisture attenuation, J. Appl. Remote Sens. 6(1), 063598 (Oct 30, 2012). doi:

Wang, N.,, An efficient search algorithm for minimum covering polygons on the sphere, SIAM J. Sci. Comput., 35(3), A1669-A1688 doi:

Zhu, T., and F. Weng, (2013), Hurricane Sandy warm-core structure observed from advanced Technology Microwave Sounder, Geophys. Res. Lett., 40, 3325-3330, doi:

Gregow, E., E. Saltikoff, S. Albers, and H. Hohti, Precipitation accumulation analysis - assimilation of radar-gauge, Hydrol. Earth Syst. Sci., 17, 4109-4120, doi:, 2013.

Schmit, T.J., S.J. Goodman, D.T. Lindsey, R.M. Rabin, K.M. Bedka, M.M. Gunshor, J.L. Cintineo, C.S. Velden, A.S. Bachmeier, S.S. Lindstrom, C.C. Schmidt, GOES-14 Super Rapid Scan Operations to Prepare for GOES-R, J. Appl. Remote Sens. 7(1), 073462 (Dec 16, 2013). doi:

Uprety, S., C. Cao, X. Xiong, S. Blonski, A. Wu, and X. Shao, 2013: Radiometric inter-comparison between Suomi NPP VIIRS and Aqua MODIS reflective solar bands using simultaneous nadir overpass in the low latitudes, J. Atmos. Oceanic Technol., 30, 2720-2736. doi:

Hong, S.-Y., M.-S. Koo, J. Jang, J.-E. Kim, H. Park, M.-S. Joh, J.-H. Kang,, 2013: An evaluation of the software system dependency of a global atmospheric model, Mon. Wea. Rev., 141, 4165-4172. doi:

Kosaka, Y., and S-P. Xie, Recent global-warming hiatus tied to equatorial Pacific surface cooling, Nature 501, 403-407 (19 September 2013) doi:

Miller, S. D., W. Straka, III, S. P. Mills, C. D. Elvidge, T. F. Lee, J. Solbrig, A. Walther, A. K. Heidinger, and S. C. Weiss, Illuminating the capabilities of the Suomi NPP VIIRS Day/Night Band, Remote Sens. 2013, 5(12), 6717-6766; doi:

Sandgathe, S., B. G. Brown, B. Etherton, and E. I. Tollerud, 2013: Designing multimodel ensembles requires meaningful methodologies, Bull. Amer. Meteor. Soc., 94, ES183-ES185. doi:

Maloney, E. D., and S.-P. Xie, (2013), Sensitivity of MJO activity to the pattern of climate warming, J. Adv. Model. Earth Syst., 5, 32-47, doi:

White, A.B., M. L. Anderson, M. D. Dettinger, F. M. Ralph, A. Hinojosa, D. R. Cayan, R. K. Hartman, D. W. Reynolds, L. E. Johnson, T. L. Schneider, R. Cifelli, Z. Toth, S. I. Gutman C. W. King, F. Gehrke, P. E. Johnston, C. Walls, D. Mann, D. J. Gottas, a, 2013: A Twenty-First-Century California observing network for monitoring extreme weather events, J. Atmos. Oceanic Technol., 30, 1585-1603. doi:

Knapp, K.R., J.A. Knaff, C.R. Sampson, G. Riggio, A. Schnapp, 2013: A pressure-based analysis of the historical western North Pacific tropical cyclone intensity record, Mon. Wea. Rev., 141, 2611-2631. doi:

Phillips, M., Into thin air: Characterizing sublimation in the Upper Colorado River Basin, NIDIS newsletter - 2013

Jiang, L. and M. Wang, Identification of pixels with stray light and cloud shadow contaminations in the satellite ocean color data processing, Appl. Opt. 52, 6757-6770 (2013). doi:

Seaman, C.J. and S.D. Miller, 2013: VIIRS Captures Aurora Motions, Bull. Amer. Meteor. Soc., 94, 1491-1493. doi:

Cao, C., X. Shao; S. Uprety,, Detecting light outages after Severe Storms Using the S-NPP/VIIRS Day/Night Band Radiances, Geoscience and Remote Sensing Letters, IEEE, vol.10, no.6, pp.1582,1586, Nov. 2013 doi:

Azorin-Molina C, Baena-Calatrava R, Echave-Calvo I, Connell B. H., Vincente-Serrano S.M. and Lopez-Moreno J.I, (2013), A daytime over land algorithm for computing AVHRR convective cloud climatologies for the Iberian Peninsula and the Balearic Islands, Int. J. Climatol., 33: 2113-2128. doi:

Lin, I-I, G.J. Goni, J.A. Knaff, C. Forbes, M.M. Ali,, Tropical cyclone heat potential for tropical cyclone intensity forecasting and its impact on storm surge, Natural Hazards, April 2013, Volume 66, Issue 3, pp 1481-1500. doi:

Phillips, M., Estimates of sublimation in the Upper Colorado River basin, NIDIS newsletter - 2013


Bikos D. E., Lindsey D. T., Otkin J., Sieglaff J., Grasso L. D., Siewart C., Correia J, Coniglio M, Rabin R. M., Kain J. S. and Dembek S, 2012: Synthetic satellite imagery for real-time high resolution model evaluation, Wea. Forecasting, 27, 784-795. doi:

Toth Z., Albers S. C. and Xie Y. F., 2012: Analysis of fine scale weather phenomena, Bull. Amer. Meteor. Soc., 93, ES35-ES38. doi:

Chen Y., Weng F., Han Y. and Liu Q., 2012: Planck weighted transmittance and correction of solar reflection for broadband infrared satellite channels, J. Atmos. Oceanic Technol., 29, 382-396. doi: