Search Results

You are looking at 1 - 9 of 9 items for :

  • Forecasting techniques x
  • RELAMPAGO-CACTI: High Impact Weather in Subtropical South America x
  • Refine by Access: All Content x
Clear All
Jake P. Mulholland, Stephen W. Nesbitt, Robert J. Trapp, and John M. Peters

. , B. A. Klimowski , R. L. Thompson , and M. L. Weisman , 2000 : Predicting supercell motion using a new hodograph technique . Wea. Forecasting , 15 , 61 – 79 , https://doi.org/10.1175/1520-0434(2000)015<0061:PSMUAN>2.0.CO;2 . 10.1175/1520-0434(2000)015<0061:PSMUAN>2.0.CO;2 Bunkers , M. J. , J. S. Johnson , L. J. Czepyha , J. M. Grzywacz , B. A. Klimowski , and M. R. Hjelmfelt , 2006 : An observational examination of long-lived supercells. Part II: Environmental

Restricted access
Sujan Pal, Francina Dominguez, María Eugenia Dillon, Javier Alvarez, Carlos Marcelo Garcia, Stephen W. Nesbitt, and David Gochis

hydrologic response for the headwater basins of the Carcarañá, 2) to provide a methodology to realistically hindcast and forecast extreme hydrometeorological events in the region, and 3) to investigate the added value of an advanced regional atmospheric data assimilation technique on hydrologic prediction. This study provides an observation and modeling-based study of a hydrometeorological flash flood event caused by a severe convective storm during the early morning of 27 November 2018 in the Rio

Restricted access
Stephen W. Nesbitt, Paola V. Salio, Eldo Ávila, Phillip Bitzer, Lawrence Carey, V. Chandrasekar, Wiebke Deierling, Francina Dominguez, Maria Eugenia Dillon, C. Marcelo Garcia, David Gochis, Steven Goodman, Deanna A. Hence, Karen A. Kosiba, Matthew R. Kumjian, Timothy Lang, Lorena Medina Luna, James Marquis, Robert Marshall, Lynn A. McMurdie, Ernani de Lima Nascimento, Kristen L. Rasmussen, Rita Roberts, Angela K. Rowe, Juan José Ruiz, Eliah F.M.T. São Sabbas, A. Celeste Saulo, Russ S. Schumacher, Yanina Garcia Skabar, Luiz Augusto Toledo Machado, Robert J. Trapp, Adam C. Varble, James Wilson, Joshua Wurman, Edward J. Zipser, Ivan Arias, Hernán Bechis, and Maxwell A. Grover

difficult because of the uncertainty in forecasting the intensity and location of the events, as well as the fast hydrological response of the basins. Teams were deployed to measure streamflow with acoustic Doppler current profilers and with digital cameras to perform large-scale particle image velocimetry (LSPIV) measurements along the selected river cross sections. LSPIV, a nonintrusive flow velocimetry technique, quantified streamflow during flash flood events. During RELAMPAGO, the team performed a

Full access
Robert J. Trapp, Karen A. Kosiba, James N. Marquis, Matthew R. Kumjian, Stephen W. Nesbitt, Joshua Wurman, Paola Salio, Maxwell A. Grover, Paul Robinson, and Deanna A. Hence

, and D. J. Cecil , 2019 : Subtropical South American hailstorm characteristics and environments . Mon. Wea. Rev. , 147 , 4289 – 4304 , https://doi.org/10.1175/MWR-D-19-0011.1 . 10.1175/MWR-D-19-0011.1 Bunkers , M. J. , B. A. Klimowski , J. W. Zeitler , R. L. Thompson , and M. L. Weisman , 2000 : Predicting supercell motion using a new hodograph technique . Wea. Forecasting , 15 , 61 – 79 , https://doi.org/10.1175/1520-0434(2000)015<0061:PSMUAN>2.0.CO;2 . 10

Free access
Matthew R. Kumjian, Rachel Gutierrez, Joshua S. Soderholm, Stephen W. Nesbitt, Paula Maldonado, Lorena Medina Luna, James Marquis, Kevin A. Bowley, Milagros Alvarez Imaz, and Paola Salio

, Z. S. , K. L. Rasmussen , and D. J. Cecil , 2019 : Subtropical South American hailstorm characteristics and environments . Mon. Wea. Rev. , 147 , 4289 – 4304 , https://doi.org/10.1175/MWR-D-19-0011.1 . 10.1175/MWR-D-19-0011.1 Bunkers , M. J. , B. A. Klimowski , J. W. Zeitler , R. L. Thompson , and M. L. Weisman , 2000 : Predicting supercell motion using a new hodograph technique . Wea. Forecasting , 15 , 61 – 79 , https://doi.org/10

Free access
Jake P. Mulholland, Stephen W. Nesbitt, Robert J. Trapp, Kristen L. Rasmussen, and Paola V. Salio

the RMA1 data. ERA-Interim is a global (atmospheric) reanalysis dataset produced by the European Centre for Medium-Range Weather Forecasts (ECMWF). ERA-Interim includes 3-h surface data and 6-h upper-air data and utilizes four-dimensional variational data assimilation techniques. The horizontal grid spacing is 0.7° (approximately 80 km) with 37 vertical model levels ( P top = 1 hPa); pressure-level interpolated data were used for this analysis. Reanalysis data were used to construct composites of

Full access
Adam C. Varble, Stephen W. Nesbitt, Paola Salio, Joseph C. Hardin, Nitin Bharadwaj, Paloma Borque, Paul J. DeMott, Zhe Feng, Thomas C. J. Hill, James N. Marquis, Alyssa Matthews, Fan Mei, Rusen Öktem, Vagner Castro, Lexie Goldberger, Alexis Hunzinger, Kevin R. Barry, Sonia M. Kreidenweis, Greg M. McFarquhar, Lynn A. McMurdie, Mikhail Pekour, Heath Powers, David M. Romps, Celeste Saulo, Beat Schmid, Jason M. Tomlinson, Susan C. van den Heever, Alla Zelenyuk, Zhixiao Zhang, and Edward J. Zipser

initiating and growing deep convective clouds. The CACTI PI and some science team members were commonly located with the RELAMPAGO science team at the RELAMPAGO operations center in Villa Carlos Paz. Forecasts and near-real-time data displays utilized for RELAMPAGO mobile missions were also utilized for the adaptive observing components of CACTI during the IOP. During RELAMPAGO mobile missions, the CACTI observing sites were commonly used as part of the RELAMPAGO observing network. The integration of

Full access
James N. Marquis, Adam C. Varble, Paul Robinson, T. Connor Nelson, and Katja Friedrich

1. Introduction Correctly representing moist convective processes is critical to accurately predicting regional and global weather and climate, and accompanying operational forecasting of near- and long-term hydrology and severe weather. Numerical simulations rely on a mix of cumulus, turbulence, microphysics, and planetary boundary layer parameterization schemes to represent the generation of shallow and deep moist updrafts and precipitation (e.g., Tiedtke 1989 ; Kain and Fritsch 1990

Open access
Hernán Bechis, Paola Salio, and Juan José Ruiz

Regional Reanalysis (NARR). A detection procedure suitable for high-resolution numerical models is presented by Clark et al. (2015) . Their algorithm includes image processing and pattern recognition techniques applied to various meteorological fields, and machine learning algorithms to further refine the results. This last step helps to better distinguish drylines from other low-level boundaries such as cold fronts intersecting a dryline, weak cold fronts, among others. In the literature, several

Free access