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NOAA Cooperative Institutes NOAA Cooperative Institutes
NOAA Cooperative Institutes
The NOAA Cooperative Institutes are academic and non-profit research institutions that demonstrate the highest level of performance and conduct research that supports NOAA's Mission Goals and Strategic Plan. Currently, NOAA supports 17 Cooperative Institutes consisting of 58 universities and research institutions across 23 states and the District of Columbia. This collection consists of documents (technical reports and memorandum, as well as journal articles) that have been produced by these institutes in support of NOAA research through the use of NOAA funding support.
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  • Multihazard Weather Risk Perception and Preparedness in Eight Countries
    Filetype[PDF - 1.84 MB]
    Personal Author:
    Keul, Alexander G.; Brunner, Bernhard; Allen, John; Wilson, Katie A.; Taszarek, Mateusz; Price, Colin; Soleiman, Gary; Sharma, Sanjay; Roy, Partha; Aini Mat Said; Elistina, Abu Bakar; Kadir, Mohd Zainal Abidin Ab; Gomes, Chandima;
    Published Date:
    2018
    Source:
    Wea. Climate Soc. (2018) 10 (3): 501–520.
    Description:
    Weather risk perception research lacks multihazard and transcultural datasets. This hypothesis-generating study used a cognitive behavioral approach and Brunswik’s lens model for subjective risk parameters across eight countries. In Germany, Poland...
    File Type:
    Filetype[PDF - 1.84 MB]
  • WRF Model Study of the Great Plains Low-Level Jet: Effects of Grid Spacing and Boundary Layer Parameterization
    Filetype[PDF - 4.86 MB]
    Personal Author:
    Smith, Elizabeth N.; Gibbs, Jeremy A.; Fedorovich, E. E. (Evgenii E.); Klein, Petra M.;
    Published Date:
    2018
    Source:
    J. Appl. Meteor. Climatol. (2018) 57 (10): 2375–2397.
    Description:
    Previous studies have shown that the Weather Research and Forecasting (WRF) Model often underpredicts the strength of the Great Plains nocturnal low-level jet (NLLJ), which has implications for weather, climate, aviation, air quality, and wind energy...
    File Type:
    Filetype[PDF - 4.86 MB]
  • The Great Plains Low-Level Jet during PECAN: Observed and Simulated Characteristics
    Filetype[PDF - 6.61 MB]
    Personal Author:
    Smith, Elizabeth N.; Gebauer, Joshua G.; Klein, Petra M.; Fedorovich, E. E. (Evgenii E.); Gibbs, Jeremy A.;
    Published Date:
    2019
    Source:
    Mon. Wea. Rev. (2019) 147 (6): 1845–1869.
    Description:
    During the 2015 Plains Elevated Convection at Night (PECAN) field campaign, several nocturnal low-level jets (NLLJs) were observed with integrated boundary layer profiling systems at multiple sites. This paper gives an overview of selected PECAN NLLJ...
    File Type:
    Filetype[PDF - 6.61 MB]
  • Meteorological Differences Characterizing Tornado Outbreak Forecasts of Varying Quality
    Filetype[PDF - 5.22 MB]
    Personal Author:
    Mercer, Andrew; Bates, Alyssa Victoria, 1988-;
    Published Date:
    2018
    Source:
    Atmosphere 2019, 10(1), 16.
    Description:
    Tornado outbreaks (TOs) are a major hazard to life and property for locations east of the Rocky Mountains. Improving tornado outbreak (TO) forecasts will help minimize risks associated with these major events. In this study, we present a methodology ...
    File Type:
    Filetype[PDF - 5.22 MB]
  • Revised Magmatic Source Models for the 2015 Eruption at Axial Seamount Including Estimates of Fault-Induced Deformation
    Filetype[PDF - 17.83 MB]
    Personal Author:
    Hefner, W. L.; Nooner, S. L.; Chadwick Jr, W. W.; Bohnenstiehl, D. R.;
    Published Date:
    2020
    Source:
    Journal of Geophysical Research: Solid Earth, 125(4)
    Description:
    Axial Seamount is an active submarine volcano located at the intersection of the Cobb hot spot and the Juan de Fuca Ridge (45°57′N, 130°01′W). Bottom pressure recorders captured co-eruption subsidence of 2.4–3.2 m in 1998, 2011, and 2015, an...
    File Type:
    Filetype[PDF - 17.83 MB]
  • A polarimetric Doppler radar time‐series simulator for biological applications
    Filetype[PDF - 2.02 MB]
    Personal Author:
    Stepanian, Phillip M.; Mirkovic, Djordje; Chilson, Philip B., 1963-;
    Published Date:
    2018
    Source:
    Remote Sensing in Ecology and Conservation 4(4): 285-302, 2019.
    Description:
    The high mobility of airborne organisms makes them inherently difficult to study, motivating the use of radars and radar networks as biological surveillance tools. While the utility of radar for ecological studies has been demonstrated, a number of c...
    File Type:
    Filetype[PDF - 2.02 MB]
  • A novel laboratory simulation system to uncover the mechanisms of uranium upward transport in a desert landscape
    Filetype[PDF - 1020.69 KB]
    Personal Author:
    Zhang, Qinku; Larson, Steven L.; Ballard, John H.; Cheah, Pohlee; Kazery, Joseph A.; Knotek-Smith, Heather M.; Han, Fengxiang X.;
    Published Date:
    2020
    Source:
    MethodsX. 2020; 7: 100758.
    Description:
    After depleted uranium (DU) is deposited in the environment, it corrodes producing mobile uranium species. The upward transport mechanism in a desert landscape is associated with the dissolution/precipitation of uranium minerals that vary in composit...
    File Type:
    Filetype[PDF - 1020.69 KB]
  • An Evaluation of the Impact of Assimilating AERI Retrievals, Kinematic Profilers, Rawinsondes, and Surface Observations on a Forecast of a Nocturnal Convection Initiation Event during the PECAN Field Campaign
    Filetype[PDF - 6.89 MB]
    Personal Author:
    Degelia, Samuel K.; Wang, Xuguang; Stensrud, David J.;
    Published Date:
    2019
    Source:
    Mon. Wea. Rev. (2019) 147 (8): 2739–2764.
    Description:
    Numerical weather prediction models often fail to correctly forecast convection initiation (CI) at night. To improve our understanding of such events, researchers collected a unique dataset of thermodynamic and kinematic remote sensing profilers as p...
    File Type:
    Filetype[PDF - 6.89 MB]
  • An Integrated Scenario Ensemble‐Based Framework for Hurricane Evacuation Modeling: Part 2—Hazard Modeling
    Filetype[PDF - 2.40 MB]
    Personal Author:
    Blanton, Brian Orin; Dresback, Kendra M., 1974-; Colle, Brian; Kolar, Randy; Vergara, Humberto; Hong, Yang; Leonardo, Nicholas; Davidson, Rachel; Nozick, Linda K.; Wachtendorf, Tricia, 1972-;
    Published Date:
    2020
    Source:
    Risk Analysis (2020) 40(1): 117-133, 2020.
    Description:
    Hurricane track and intensity can change rapidly in unexpected ways, thus making predictions of hurricanes and related hazards uncertain. This inherent uncertainty often translates into suboptimal decision‐making outcomes, such as unnecessary evacu...
    File Type:
    Filetype[PDF - 2.40 MB]
  • The Effect of Surface Drag Strength on Mesocyclone Intensification and Tornadogenesis in Idealized Supercell Simulations
    Filetype[PDF - 8.33 MB]
    Personal Author:
    Roberts, Brett; Xue, Ming; Dawson, Daniel T.;
    Published Date:
    2020
    Source:
    J. Atmos. Sci. (2020) 77 (5): 1699–1721.
    Description:
    A suite of six idealized supercell simulations is performed in which the surface drag coefficient Cd is varied over a range of values from 0 to 0.05 to represent a variety of water and land surfaces. The experiments employ a new technique for enforci...
    File Type:
    Filetype[PDF - 8.33 MB]
  • Evaluation of WRF-DART (ARW v3.9.1.1 and DART Manhattan release) multiphase cloud water path assimilation for short-term solar irradiance forecasting in a tropical environment
    Filetype[PDF - 6.59 MB]
    Personal Author:
    Kurzrock, Frederik; Nguyen, Hannah; Sauer, Jerome; Ming, Fabrice Chane; Cros, Sylvain; Smith, William L. Jr.; Minnis, Patrick; Palikonda, Rabindra; Jones, Thomas A.; Lallemand, Caroline; Linguet, Laurent; Lajoie, Gilles, 1964-;
    Published Date:
    2019
    Source:
    Geosci. Model Dev., 12, 3939–3954, 2019.
    Description:
    Numerical weather prediction models tend to underestimate cloud presence and therefore often overestimate global horizontal irradiance (GHI). The assimilation of cloud water path (CWP) retrievals from geostationary satellites using an ensemble Kalman...
    File Type:
    Filetype[PDF - 6.59 MB]
  • Exploring Controls on Tropical Cyclone Count through the Geography of Environmental Favorability