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Subject Matter Topics:
Drought Monitoring and Flash Drought Development
Ensemble and Variational Data Assimilation
Model Verification Using Satellite Observations
Satellite Retrieval Demonstration and Development
Using Model Simulations to Improve Our Understanding of Atmospheric Processes
Convective Influence on Gravity Wave Variability
Drought Monitoring and Flash Drought Development
Anderson, M. C., W. P. Kustas, J. M. Norman; G. T. Diak, C. R. Hain, F. Gao, Y. Yang, K. R. Knipper, J. Xue, Y. Yang, W. T. Crow, T. R. H. Holmes, H. Nieto, R. Guzinski, J. A. Otkin, J. R. Mecikalski, C. Cammalleri, A. T. Torres-Ruan, X. Zhan, L. Fang, P. D. Colaizzi, and N. Agam, 2024: A brief history of the thermal IR-based Two-Source Energy Balance (TSEB) model – diagnosing water and energy fluxes from plant to global scales. Agr. Forest Meteorol., 350, 109951, https://doi.org/10.1016/j.agrformet.2024.109951. View
Woloszyn, M., S. Reeves, M. Skumanich, E. Hasenbeck, A. Lang, J. Lisonbee, R.D. Leeper, M. Muth, E. Ossowski, J. Otkin, H. Wang, 2024. 2nd National Flash Drought Workshop Report: Building on Progress and Looking Forward. NOAA National Integrated Drought Information System. View
Ford, T. W., J. A. Otkin, S. M. Quiring, J. Lisonbee, M. Woloszyn, J. Wang, and Y. Zhong, 2023: Flash drought indicator intercomparison in the United States. J. Appl. Meteor. Climatol., 62, 1713–1730, https://doi.org/10.1175/JAMC-D-23-0081.1. View
Christian, J., M. Hobbins, A. Hoell, J. A. Otkin, T. Ford, A. Cravens, K. Powlen, H. Wang, and V. Mishra, 2023: Flash drought: A state of the science review. WIREs Water, e1714. https://doi.org/10.1002/wat2.1714 View
Nguyen, H., M. C. Wheeler, J. A. Otkin, T. Nguyen-Huy, and T. Cowan, 2023: Climatology and history of flash drought over Australia. J. Hydrometeor., 24, 1087-1101. View
Christian, J. I., E. R. Martin, J. B. Basara, J. C. Furtado, J. A. Otkin, L. E. Lowman, E. D. Hunt, V. Mishra, and X. Xiao, 2023: Global projections of flash drought in a warming climate. Commun Earth Environ, 4, 165. https://doi.org/10.1038/s43247-023-00826-1. View
Yuan, X., Y. Wang, P. Ji, J. Sheffield, and J. A. Otkin, 2023: A global transition to flash droughts under climate change. Science, 380, 187-191. https://doi.org/10.1126/science.abn6301. View
Edris, S., J. B. Basara, J. I. Christian, E. D. Hunt, J. A. Otkin, S. T. Salesky, and B. G. Illston, 2023: Decomposing the critical components of flash drought using the standardized evaporative stress ratio. Agr. Forest Meteorol., 330, 109288, https://doi.org/10.1016/j.agrformet.2022.109288. View
Otkin, J. A., M. Woloszyn, H. Wang, M. Svoboda, M. Skumanich, R. Pulwarty, J. Lisonbee, A. Hoell, M. Hobbins, T. Haigh, and A. Cravens, 2022: Getting ahead of flash drought: From early warning to early action. Bull. Am. Meteorol. Soc, 103, E2188-E2202. https://doi.org/10.1175/BAMS-D-21-0288.1. View
Ahmad, S. K., S. V. Kumar, T. M. Lahmers, S. Wang, P.-W. Liu, M. L. Wrzesien, R. Bindlish, A. Getirana, K. A. Locke, T. R. Holmes, and J. A. Otkin, 2022: Flash drought onset and development mechanisms captured with soil moisture and vegetation data assimilation. Water Resour. Res., 58, e2022WR032894. https://doi.org/10.1029/2022WR032894. View
Lisonbee, J., J. Ribbe, J. A. Otkin, and C. Pudmensky 2022: Wet season rainfall onset and flash drought: The case of the northern Australian wet season. Int. J. Climatol, 42, 6499– 6514. https://doi.org/10.1002/joc.7609. View
Haigh, T., J. A. Otkin, M. Woloszyn, D. Todey, and C. Felkley, 2022: Meeting the climate information needs of Midwest perennial specialty crop production. J. Appl. Meteor. Climatol., 61, 839-855. https://doi.org/10.1175/JAMC-D-21-0105.1. View
Zhang, M. X. Yuan, J. A. Otkin, and P. Ji, 2022: Climate warming outweighs vegetation greening in intensifying flash droughts over China. Environ. Res. Lett., 17, 054041, https://doi.org/10.1088/1748-9326/ac69fb. View
Khan, A. M., P. C. Stoy, J. Joiner, D. Baldocchi, J. Verfaillie, M. Chen, and J. A. Otkin, 2022: The diurnal dynamics of gross primary productivity (GPP) using observations from the Geostationary Operational Environmental Satellites-R Series (GOES-R) at an oak savanna ecosystem. J. Geophys. Res. Biogeosci., 127, e2021JG006701. https://doi.org/10.1029/2021JG006701 View
Osman, M., B. Zaitchik, H. Badr, J. A. Otkin, Y. Zhong, D. Lorenz, M. C. Anderson, T. F. Keenan, D. L. Miller, C. Hain, and T. Holmes, 2022: Diagnostic classification of flash drought events reveals distinct classes of forcings and impacts. J. Hydrometeor., 23, 275-289. View
Lorenz, D. J., J. A. Otkin, B. Zaitchik, M. C. Anderson, and C. R. Hain, 2021: Predicting rapid changes in evaporative stress index (ESI) and soil moisture anomalies over the continental United States. J. Hydrometeor., 22, 3017-3036. View
Christian, J. I., J. B. Basara, E. D. Hunt, J. A. Otkin, J. C. Furtado, V. Mishra, X. Xiao, and R. M. Randall, 2021: Global distribution, trends, and drivers of flash drought occurrence. Nat. Commun., 12, 6330, https://doi.org/10.1038/s41467-021-26692-z. View
Hoell, A., T. W. Ford, M. Woloszyn, J. A. Otkin, and J. Eischeid, 2021: Characteristics and predictability of Midwestern United States drought. J. Hydrometeor, 22, 3087-3105. View
Hunt, E. D., F. Femia, C. Werrell, J. Christian, J. Basara, J. A. Otkin, R. Randall, T. White, C. Hain, M. C. Anderson, and K. McGauhgey, 2021: Agricultural and food security impacts from the 2010 Russia flash drought. Weather Clim. Extremes, 34, 100383, https://doi.org/10.1016/j.wace.2021.100383. View
Woloszyn, M., M. Skumanich, J. Lisonbee, V. Deheza, M. Hobbins, A. Hoell, J. A. Otkin, M. Svoboda, and H. Wang, 2021: Flash drought: Current understanding and future priorities. Report of the 2020 NIDIS Flash Drought Virtual Workshop, NOAA National Integrated Drought Information System. View
Khan, A., P. C. Stoy, J. T. Douglas, M. C. Anderson, G. Diak, J. A. Otkin, E. M. Rehbein, and J. McCorkel, 2021: Reviews and syntheses: Ongoing and emerging opportunities to improve environmental science using geostationary satellite observations. Biogeosciences, 18, 4117-4141, https://doi.org/10.5194/bg-18-4117-2021. View
Otkin, J. A., Y. Zhong, E. D. Hunt, J. I. Christian, J. B. Basara, H. Nguyen, M. C. Wheeler, T. W. Ford, A. Hoell, M. Svoboda, and M. C. Anderson, 2021: Development of a flash drought intensity index. Atmosphere, 12, 741, http://dx.doi.org/10.3390/atmos12060741. View
Yang, Y., M. C. Anderson, F. Gao, Y. Yang, L. Sun, W. Dulaney, C. Hain, J. A. Otkin, J. Prueger, T. Meyers, and C. Bernacchi, 2021: Remote sensing of a field-scale ET-based stress indicator for crop yield forecasting: an application across the U.S. Corn Belt. Rem. Sens. Env., 257, 112337. View
Nguyen, H., M. C. Wheeler, H. H. Hendon, E.-P. Lim, and J. A. Otkin, 2021: The 2019 flash droughts in subtropical eastern Australia and their association with large-scale climate drivers. Weather Clim. Extremes, 32, 100321, https://doi.org/10.1016/j.wace.2021.100321. View
Osman, M., B. F. Zaitchik, H. S. Badr, J. Christian, T. Tadesse, J. A. Otkin, and M. C. Anderson, 2021: Flash droughts over the contiguous United States: Sensitivity of inventories and trends to quantitative definitions. Hydrol. Earth Syst. Sci., 25, 565–581. View
Hunt, E. D., J. I. Christian, J. B. Basara, L. Lowman, J. A. Otkin, J. Bell, K. Jarecke, R. A. Wakefield, and R. M. Randall, 2020: The flash drought of 1936. J. Appl. Serv. Climatol., http://www.doi.org/10.46275/JOASC.2020.11.001. View
Zhang, M., X. Yuan, and J. A. Otkin, 2020: Remote sensing of the impact of flash drought events on terrestrial carbon dynamics over China. Carbon Balance Manage., 15, 20, https://doi.org/10.1186/s13021-020-00156-1. View
Nguyen, H., J. A. Otkin, M. C. Wheeler, P. Hope, B. Trewin, and C. Pudmenzky, 2020: Climatology and variability of the Evaporative Stress Index and its suitability as a tool to monitor Australian drought. J. Hydrometeor., 21, 2309-2324. View
Christian, J. I., J. B. Basara, E. D. Hunt, J. A. Otkin, and X. Xiao, 2020: Flash drought development and cascading impacts associated with the 2010 Russian heatwave. Environ. Res. Lett., 15, 094078. View
Zhong, Y., J. A. Otkin, M. C. Anderson, and C. R. Hain, 2020: Investigating the relationship between the Evaporative Stress Index and land surface conditions in the contiguous United States. J. Hydrometeor., 21, 1469-1484. View
Liu, Y., Y. Zhu, L. Ren, J. A. Otkin, E. D. Hunt, X. Yang, R. Yuan, and S. Jian, 2020: Two different methods for flash drought identification: Comparison of their strengths and limitations. J. Hydrometeor., 24, 691-704. View
Christian, J. I., J. B. Basara, J. A. Otkin, and E. D. Hunt, 2019: Regional characteristics of flash droughts across the United States. Environ. Res. Commun., 1, 125004. View
Haigh, T. R., J. A. Otkin, and A. Mucia, M. Hayes, M. Burbach, 2019: Drought early warning and the timing of range manager's drought response. Adv. Meteorol., DOI: https://doi.org/10.1155/2019/9461513. View
Basara, J. B., J. I. Christian, R. A. Wakefield, J. A. Otkin, E. Hunt, and D. Brown, 2019: The evolution, propagation, and spread of flash drought in the central United States during 2012. Environ. Res. Lett., 14, DOI: https://doi.org/10.1088/1748-9326/ab2cc0. View
Nguyen, H., M. C. Wheeler, J. A. Otkin, A. Frost, R. Stone, and T. Cowan, 2019: Using the evaporative stress index to monitor flash drought in Australia. Environ. Res. Lett., 14, DOI: https://doi.org/10.1088/1748-9326/ab2103. View
Christian, J. I., J. B. Basara, J. A. Otkin, E. D. Hunt, R. A. Wakefield, P. X. Flanagan, and X. Xiao, 2019: A methodology for flash drought identification in gridded datasets: Application of flash drought frequency across the United States. J. Hydrometeor., 20, 833-846. View
Otkin, J. A., Y. Zhong, E. D. Hunt, J. Basara, M. Svoboda, M. C. Anderson, and C. Hain, 2019: Assessing the evolution of soil moisture and vegetation conditions during a flash drought - flash recovery sequence over the south-central United States. J. Hydrometeor., 20, 549-562. View
Otkin, J. A., Y. Zhong, D. Lorenz, M. C. Anderson, and C. Hain, 2018: Exploring seasonal and regional relationships between the Evaporative Stress Index and surface weather and soil moisture anomalies across the United States. Hydrol. Earth Syst. Sci., 22, 5373–5386. View
Otkin, J. A., T. Haigh, A. Mucia, M. C. Anderson, and C. R. Hain, 2018: Comparison of agricultural stakeholder survey results and drought monitoring datasets during the 2016 U.S. Northern Plains flash drought. Wea. Climate Soc., 10, 867-883. View
Lorenz, D. J., J. A. Otkin, M. Svoboda, C. R. Hain, and Y. Zhong, 2018: Forecasting rapid drought intensification using the Climate Forecast System (CFS). J. Geophys. Res., 123, 8365–8373. https://doi.org/10.1029/ 2018JD028880. View
Otkin, J. A., M. Svoboda, E. D. Hunt, T. W. Ford, M. C. Anderson, C. Hain, and J. B. Basara, 2018: Flash droughts: A review and assessment of the challenges imposed by rapid onset droughts in the United States. Bull. Am. Meteorol. Soc., 99, 911-919. View
Yang, Y., M. C. Anderson, G. Gao, B. Wardlow, C. R. Hain, J. A. Otkin, J. Alfieri, Y. Yang, L. Sun, and W. Dulaney, 2018: Field-scale mapping of evaporative stress indicators of crop yield: An application over Mead, NE, USA. Remote Sens. Environ., 210, 387-402. View
Wardlow, B. D., M. C. Anderson, C. Hain, W. Crow, J. A. Otkin, T. Tadesse, and A. AghaKouchak, 2017: Advancements in Satellite Remote Sensing for Drought Monitoring. Book chapter in Drought and Water Crises: Integrating Science, Management, and Policy, CRC Press, 542 pp.
Lorenz, D. J., J. A. Otkin, M. Svoboda, C. Hain, M. C. Anderson, and Y. Zhong, 2017a: Predicting U.S. Drought Monitor states using precipitation, soil moisture, and evapotranspiration anomalies. Part I: Development of a non-discrete USDM index. J. Hydrometeor., 18, 1943-1962. View
Lorenz, D. J., J. A. Otkin, M. Svoboda, C. Hain, M. C. Anderson, and Y. Zhong, 2017b: Predicting U.S. Drought Monitor states using precipitation, soil moisture, and evapotranspiration anomalies. Part 2: Intraseasonal drought intensification forecasts. J. Hydrometeor., 18, 1963-1982. View
Yang, Y., M. C. Anderson, F. Gao, C. Hain, W. P. Kustas, T. Meyers, W. T. Crow, R. G. Finocchiaro, J. A. Otkin, L. Sun, and Y. Yang, 2017: Impact of tile drainage on evapotranspiration (ET) in South Dakota, USA based on high spatiotemporal resolution ET timeseries from a multi-satellite data fusion system. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens., 10, 2550-2564. View
Flanagan, P. X., J. B. Basara, B. G. Illston, and J. A. Otkin, 2017: The effect of the dryline and convective initiation on drought evolution over Oklahoma during the 2011 drought. Adv. Meteorol., 2017, 8430743, doi:10.1155/2017/8430743. View
Zhou, Y., X. Xiao, G. Zhang, P. Wagle, R. Bajgain, J. Dong, C. Jin, J. Basara, M. C. Anderson, C. Hain, and J. A. Otkin, 2017: Quantifying agricultural drought in tall grass prairie region in the U.S. Southern Great Plains through analysis of a water-related vegetation index from MODIS images. Agr. Forest Meteorol., 246, 111-122. View
Anderson, M. C., C. R. Hain, F. Jurecka, M. Trnka, P. Hlavinka, W. Dulaney, J. A. Otkin, D. Johnson, and F. Gao, 2016: An energy balance approach for mapping crop water stress and yield impacts over the Czech Republic. Clim. Res., 70, 215-230. View
Anderson, M. C., C. Zolin, P. Sentelhas, C. R. Hain, K. Semmens, M. T. Yilmaz, F. Gao, J. A. Otkin, and R. Tetrault, 2016: Assessing correlations of satellite-derived evapotranspiration, precipitation, and leaf area index anomalies with yields of major Brazilian crops. Remote Sens. Environ., 174, 82-99. View
Otkin, J. A., M. C. Anderson, C. Hain, M. Svoboda, D. Johnson, R. Mueller, T. Tadesse, B. Wardlow, and J. Brown, 2016: Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought. Agr. Forest Meteorol., 218–219, 230–242. View
Otkin, J. A., M. Shafer, M. Svoboda, B. Wardlow, M. C. Anderson, C. Hain, and J. Basara, 2015: Facilitating the use of drought early warning information through interactions with agricultural stakeholders. Bull. Am. Meteorol. Soc., 96, 1073-1078. View
Otkin, J. A., M. C. Anderson, C. Hain, and M. Svoboda, 2015: Using temporal changes in drought indices to generate probabilistic drought intensification forecasts. J. Hydrometeor., 16, 88-105. View
Otkin, J. A., M. C. Anderson, C. Hain, and M. Svoboda, 2014: Examining the relationship between drought development and rapid changes in the Evaporative Stress Index. J. Hydrometeor., 15, 938-956. View
Otkin, J. A., M. C. Anderson, C. Hain, I. Mladenova, J. Basara, and M. Svoboda, 2013: Examining rapid onset drought development using the thermal infrared based Evaporative Stress Index. J. Hydrometeor., 14, 1057-1074. View
Anderson, M. C., C. Hain, J. A. Otkin, X. Zhan, K. Mo, M. Svoboda, W. Dulaney, and A. Pimstein, 2013: An intercomparison of drought indicators based on thermal remote sensing and NLDAS-2 simulations with U.S. Drought Monitor classifications. J. Hydrometeor., 14, 1035-1056. View
Anderson, M.C., W.P. Kustas, C.R. Hain, C. Cammalleri, F. Gao, M.T. Yilmaz, I.E. Mladenova, J.A. Otkin, M. A. Schull, and R. Houborg, 2013: Mapping Surface Fluxes and Moisture Conditions from Field to Global Scales using ALEXI/DisALEXI. Book chapter in Remote Sensing of Land Surface Turbulent Fluxes and Soil Surface Moisture Content, Taylor and Francis, 562 pp.
Anderson, M. C., J. R. Norman, J. R. Mecikalski, J. A. Otkin, and W. P. Kustas, 2007: A climatological study of fluxes and moisture stress across the continental U. S. based on thermal remote sensing. 2: Surface Moisture Climatology. J. Geophys. Res., 112, D11112, doi:10.1029/2006JD007507. View
Anderson, M. C., J. R. Norman, J. R. Mecikalski, J. A. Otkin, and W. P. Kustas, 2007: A climatological study of fluxes and moisture stress across the continental U. S. based on thermal remote sensing. 1: Model formulation. J. Geophys. Res., 112, D10117, doi:10.1029/2006JD007506. View
Otkin, J. A., M. C. Anderson, J. R. Mecikalski, and G. R. Diak, 2005: Validation of GOES-based insolation estimates using data from the United States Climate Reference Network. J. Hydrometeor., 8, 460-475. View
Ensemble and Variational Data Assimilation
Hoover, B. T., J. A. Otkin, E. M. Petrescu, and E. Niebuhr, 2022: A high-resolution quantitative precipitation estimate over Alaska through kriging-based merging of rain gauges and short-range regional precipitation forecasts. J. Atmos. Ocean. Technol., 39, 739-753. View
Chandramouli, K., X. Wang, A. Johnson, and J. A. Otkin, 2022: Online nonlinear bias correction in ensemble Kalman filter to assimilate GOES-R all-sky radiances for the analysis and prediction of rapidly developing supercells. J. Adv. Model. Earth Syst., 14, e2021MS002711. https://doi.org/10.1029/2021MS002711. View
Li, J., A. J. Geer, K. Okamoto, J. A. Otkin, Z. Liu, W. Han, and P. Wang, 2022: Satellite all-sky infrared radiance assimilation: Recent progress and future perspectives. Adv. Atmos. Sci., 39, 9−21, https://doi.org/10.1007/s00376-021-1088-9. View
Otkin, J. A., and R. E. Potthast, 2021: Nonlinear conditional bias estimation for data assimilation. SIAM J. Applied Dynamical Systems, 299-332. View
Lewis, W., T. J. Wagner, J. A. Otkin, and T. A. Jones, 2020: Impact of AERI temperature and moisture retrievals on the simulation of a central plains severe convective weather event. Atmosphere, 11, 729, https://doi.org/10.3390/atmos1107079. View
Otkin, J. A., and R. Potthast, 2019: Assimilation of all-sky SEVIRI infrared brightness temperatures with nonlinear bias corrections in a regional-scale ensemble data assimilation system. Mon. Wea. Rev., 147, 4481-4509. View
Li, Z., J. Li, T. J. Schmit, P. Wang, A. Lim, J. Li, F. Nagle, W. Bai, J. A. Otkin, R. Atlas, R. Hoffman, S. Boukabara, W. Blackwell, and T. Pagano, 2019: The alternative of CubeSat based advanced infrared and microwave sounders for high impact weather forecasting. Atmos. Oceanic Sci. Lett., DOI: 10.1080/16742834.2019.1568816. View
Kurzrock, F., S. Cros, F. Chane-Ming, J. A. Otkin, L. Linguet, A. Hutt, G. Lajoie, and R. Potthast, 2018: The assimilation of geostationary meteorological satellite observations in regional NWP for cloudiness forecasting. Meteorol. Zeitschrift, 27, 277-298. View.
Otkin, J. A., R. Potthast, and A. Lawless, 2018: Nonlinear bias correction for satellite data assimilation using Taylor series polynomials. Mon. Wea. Rev., 146, 263-285. View
Boukabara, S. A., T. Zhu, H. L. Tolman, S. Lord, S. Goodman, R. Atlas, M. Goldberg, T. Auligne, R. B. Pierce, L. Cucurull, M. Zupanski, M. Zhang, I. Moradi, J. A. Otkin, D. Santek, B. Hoover, Z. Pu, X. Zhan, C. Hain, E. Kalnay, D. Hotta, S. Nolin, E. Bayler, A. Mehra, S. Casey, D. Lindsey, L. Grasso, K. Kumar, A. Powell, J. Xu, T. Greenwald, J. Zajic, J. Li, J. Li, B. Li, J. Liu, L. Fang, P. Wang, and T.-C. Chen, 2016: S4: An O2R/R2O infrastructure for optimizing satellite data utilization in NOAA numerical modeling systems, a significant step toward bridging the valley of death. Bull. Am. Meteorol. Soc, 97, 2379-2394. View
Cintineo, R., J. A. Otkin, T. Jones, S. Koch, and D. J. Stensrud, 2016: Assimilation of synthetic GOES-R ABI infrared brightness temperatures and WSR-88D radar observations in a high-resolution OSSE. Mon. Wea. Rev., 144, 3159-3180. View
Lim, A. H. N., J. A. Jung, H.-L. Huang, S. A. Ackerman, and J. A. Otkin, 2014: Assimilation of AIRS radiances in short term regional forecasts using community models. J. Appl. Remote Sen., 8, 083655, http://dx.doi.org/10.1117/1.JRS.8.083655. View
Jones, T. A., J. A. Otkin, D. J. Stensrud, and K. Knopfmeier, 2014: Forecast evaluation of an Observing System Simulation Experiment assimilating both radar and satellite data. Mon. Wea. Rev., 142, 107-124. View
Jones, T. A., J. A. Otkin, D. J. Stensrud, and K. Knopfmeier, 2013: Assimilation of simulated GOES-R satellite radiances and WSR-88D Doppler radar reflectivity and velocity using an Observing System Simulation Experiment. Mon. Wea. Rev., 141, 3273-3299. View
Otkin, J. A., 2012: Assimilation of water vapor sensitive infrared brightness temperature observations during a high impact weather event. J. Geophys. Res., 117, D19203, doi:10.1029/2012JD017568. View
Otkin, J. A., 2012: Assessing the impact of the covariance localization radius when assimilating infrared brightness temperature observations using an ensemble Kalman filter. Mon. Wea. Rev., 140, 543-561. View
Hartung, D. C., J. A., Otkin, D. D. Turner, R. Peterson, and W. F. Feltz, 2011: Assimilation of surface-based boundary layer profiler observations during a cool season weather event using an Observation System Simulation Experiment. Part 2: Forecast assessment. Mon. Wea. Rev., 139, 2327-2346. View
Otkin, J. A., Hartung, D. C., D. D. Turner, R. Peterson, W. F. Feltz, and Erik Janzon, 2011: Assimilation of surface-based boundary layer profiler observations during a cool season weather event using an Observation System Simulation Experiment. Part 1: Analysis impact. Mon. Wea. Rev., 139, 2309-2326. View
Otkin, J. A., 2010: Clear and cloudy-sky infrared brightness temperature assimilation using an ensemble Kalman filter. J. Geophys Res., 115, D19207, doi:10.1029/2009JD013759. View
Model Verification Using Satellite Observations
Pierce, R. B, M. Harkey, A. Lenzen, L. Cronce, J. A. Otkin, J. L. Case, D. S. Henderson, Z. Adelman, T. Nergui, and C. Hain, 2023: High-resolution air quality simulations of ozone exceedance events during the Lake Michigan Ozone Study. Atmos. Chem. Phys., 23, 9613-9635, https://doi.org/10.5194/acp-23-9613-2023. View
Otkin, J. A., L. Cronce, J. Case, R. Pierce, M. Harkey, A. Lenzen, D. Henderson, Z. Adelman, T. Nergui, and C. R. Hain, 2023: Evaluation of high-resolution model simulations in the Lake Michigan region. Atmos. Chem. Phys, 23, 7935–7954, https://doi.org/10.5194/acp-23-7935-2023. View
Henderson, D. S., J. A. Otkin, and J. R. Mecikalski, 2022: Examining the role of the land surface on convection using high-resolution model forecasts over the southeastern United States. J. Geophys. Res. Atmos., 127, e2022JD036563. https://doi.org/10.1029/2022JD036563. View
Li, X., J. R. Mecikalski, J. A. Otkin, D. Henderson, and J. Srikishen, 2022: A polarimetric radar operator and application for convective storm simulation. Atmosphere, 13, 645, https://doi.org/10.3390/atmos13050645. View
Griffin, S. M., and J. A. Otkin, 2022: Evaluating the impact of planetary boundary layer, land surface model, and microphysics parameterization schemes on simulated GOES-16 water vapor brightness temperatures. Atmosphere, 13, 366, https://doi.org/10.3390/atmos13030366. View
Griffin, S. M., J. A. Otkin, S. E. Nebuda, T. L. Jensen, P. Skinner, E. Gilleland, T. A. Supinie, and M. Xue, 2021: Evaluating the impact of planetary boundary layer, land surface model, and microphysics parameterization schemes on upper-level cloud objects in simulated GOES-16 brightness temperatures. J. Geophys. Res. - Atmos, 126, e2021JD034709. https://doi.org/10.1029/2021JD034709. View
Thompson, G., J. Berner, M. Frediani, J. A. Otkin, and S. M. Griffin, 2021: A stochastic parameter perturbation method to represent uncertainty in a microphysics scheme. Mon. Wea. Rev., 149, 1481-1497. View
Henderson, D. S., J. A. Otkin, and J. R. Mecikalski, 2021: Evaluating convective initiation in high-resolution numerical weather prediction models using GOES-16 infrared brightness temperatures. Mon. Wea. Rev, 149, 1153-1172. View
Griffin, S. M., J. A. Otkin, G. Thompson, M. Frediani, and J. Berner, 2020: Assessing the impact of stochastic cloud microphysics using GOES-16 infrared brightness temperatures. Mon. Wea. Rev., 148, 3111-3137. View
Griffin, S. M., J. A. Otkin, C. M. Rozoff, J. M. Sieglaff, L. M. Cronce, C. R. Alexander, T. L. Jensen, and J. K. Wolff, 2017: Seasonal analysis of cloud objects in the High Resolution Rapid Refresh (HRRR) model using object-based verification. Mon. Wea. Rev., 56, 2317-2334. View
Sieron, S. B., E. E. Clothiaux, F. Zhang, Y. Lu, and J. A. Otkin, 2017: Comparison of using distribution-specific versus effective-radius methods for hydrometeor single-scattering properties for all-sky microwave satellite radiance simulations with different microphysics parameterization schemes. J. Geophys. Res., 122, 7027-7046. View
Otkin, J. A., W. E. Lewis, A. Lenzen, B. McNoldy, and S. Majumdar, 2017: Assessing the accuracy of the cloud and water vapor fields in the Hurricane WRF (HWRF) model using satellite infrared brightness temperatures. Mon. Wea. Rev., 145, 2027-2046. View
Griffin, S. M., J. A. Otkin, C. M. Rozoff, J. M. Sieglaff, L. M. Cronce, and C. R. Alexander, 2017: Methods for comparing simulated and observed satellite infrared brightness temperatures and what do they tell us? Wea. Forecasting, 32, 5-25. View
Thompson, G., M. Tewari, K. Ikeda, S. Tessendorf, C. Weeks, J. A. Otkin, and F. Kong, 2016: Explicitly-coupled cloud physics and radiation parameterizations and subsequent evaluation in WRF high-resolution convective forecasts. Atmos. Res., 168, 92-104. View
Lee, Y.-K., J. A. Otkin, and T. J. Greenwald, 2014: Evaluating model simulated cloud characteristics through comparisons with satellite observations. J. Appl. Meteor. Climatol., 53, 1046-1058. View
Cintineo, R., J. A. Otkin, F. Kong, and M. Xue, 2014: Evaluating the accuracy of planetary boundary layer and cloud microphysical parameterization schemes in a convection-permitting ensemble using synthetic GOES-13 satellite observations. Mon. Wea. Rev., 142, 163-182. View
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. View
Lakshmanan, V., R. Rabin, J. A. Otkin, J. S. Kain, and S. Dembek, 2012: Visualizing model data using a fast approximation of a radiative transfer model. J. Atmos. Ocean. Technol., 29, 745-754. View
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. View
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. View
Otkin, J. A., and T. J. Greenwald, 2008: Comparison of WRF model-simulated and MODIS-derived cloud data. Mon. Wea. Rev., 136, 1957-1970.View
Satellite Retrieval Demonstration and Development
Greenwald, T. J., R. B. Pierce, T. Schaack, J. A. Otkin, M. Rogal, K. Bah, and H.-L. Huang, 2016: Near real-time production of simulated GOES-R Advanced Baseline Imager data for user readiness and product validation. Bull. Am. Meteorol. Soc., 97, 245-261. View
Bormann, N., A. Hernandez-Carrascal, R. Borde, H.-J. Lutz, J. A. Otkin, and S. Wanzong, 2013: Atmospheric motion vectors from model simulations. Part I: Methods and characterization as single-level estimates of wind. J. Appl. Meteor. Climatol., 53, 47-64. View
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. View
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. View
Otkin, 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. Atmos. Ocean. Technol., 24, 585-601. View
Using Model Simulations to Improve Our Understanding of Atmospheric Processes
Saide, P. E., S. N. Spak, R. B. Pierce, J. A. Otkin, T. K. Schaack, A. K. Heidinger, A. M. da Silva, M. Kacenelenbogen, J. Redemann ,and G. R. Carmichael, 2015: Role of Central American biomass burning smoke in increasing tornado severity in the U.S. Geophys. Res. Lett., 42, 956–965, doi:10.1002/2014GL062826. View
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. View
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. View
Otkin, J. A., and J. E. Martin, 2004: The large-scale modulation of subtropical cyclogenesis in the central and eastern Pacific Ocean. Mon. Wea. Rev., 132, 1813-1828. View
Otkin, J. A., and J. E. Martin, 2004: A synoptic climatology of the subtropical Kona storm. Mon. Wea. Rev., 132, 1502-1517. View
Martin, J. E., and J. A. Otkin, 2004: The rapid growth and decay of an extratropical cyclone in the central Pacific Ocean. Wea. Forecasting, 19, 358-376. View
Convective Influence on Gravity Wave Variability
Hansen, A. R., G. D. Nastrom, J. A. Otkin, and F. D. Eaton, 2002: MST radar observations of gravity waves and turbulence near thunderstorms. J. Appl. Meteor., 41, 298-305. View