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2. Where are the indigenous scientific leaders? Examining the participation of Native American/ Alaska Natives in weather and water academic programs and the federal workforce

Author

Van Cooten, Suzanne

Subjects
Labor force -- Research, Government agencies -- Recruiting, Social science research -- Analysis, Native Americans -- Employment -- Education -- Statistics, Science education, Industry hiring, Business, Earth sciences
Abstract

Native American (American Indian)/Alaska Natives (AI/AN) are significantly underrepresented in the U.S. federal science and engineering (S&E) labor force. This underrepresentation extends into the leadership ranks of federal agencies responsible for designing, implementing, and maintaining resource monitoring and enforcement programs on tribal lands. Datasets documenting demographics and salaries of the federal S&E workforce show AI/AN are the smallest S&E workforce segment among minorities and receive the lowest average salaries for engineers and physical scientists. Academic statistics show AI/AN students earn significantly fewer engineering and Earth, atmospheric, and ocean science (EA&OS) bachelor's degrees than other ethnic groups and rarely earn advanced degrees in these disciplines. Additional aspects in federal and academic datasets offer clues on a spectrum of causative factors affecting the AI/AN recruitment pool for federal S&E jobs and the rarity of AI/AN ascending to leadership positions with federal scientific organizations., The absence of indigenous leaders in federal science and engineering organizations inherently limits effective infusion of traditional ecological knowledge into our nation's sustainability programs The long-term knowledge of weather extremes [...]

Published
2014
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5. Quantitative proteomics analysis identifies MUC1 as an effect sensor of EGFR inhibition

Author

de Boer, H. Rudolf, primary, Pool, Martin, additional, Joosten, Esméé, additional, Everts, Marieke, additional, Samplonius, Douwe F., additional, Helfrich, Wijnand, additional, Groen, Harry J. M., additional, van Cooten, Suzanne, additional, Fusetti, Fabrizia, additional, Fehrmann, Rudolf S. N., additional, de Vries, Elisabeth G. E., additional, and van Vugt, Marcel A. T. M., additional

Published
2018
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7. Skill assessment of a real-time forecast system utilizing a coupled hydrologic and coastal hydrodynamic model during Hurricane Irene (2011)

Author

Dresback, Kendra M., primary, Fleming, Jason G., additional, Blanton, Brian O., additional, Kaiser, Carola, additional, Gourley, Jonathan J., additional, Tromble, Evan M., additional, Luettich, Richard A., additional, Kolar, Randall L., additional, Hong, Yang, additional, Van Cooten, Suzanne, additional, Vergara, Humberto J., additional, Flamig, Zac L., additional, Lander, Howard M., additional, Kelleher, Kevin E., additional, and Nemunaitis-Monroe, Kodi L., additional

Published
2013
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8. The CI-Flow Project: A System for Total Water Level Prediction from the Summit to the Sea

Author

NAVAL RESEARCH LAB STENNIS DETACHMENT STENNIS SPACE CENTER MS OCEANOGRAPHY DIV, Van Cooten, Suzanne, Kelleher, Kevin E, Howard, Kenneth, Zhang, Jian, Gourley, Jonathan J, Kain, John S, Nemunaitis-Monroe, Kodi, Flamig, Zac, Moser, Heather, Arthur, Ami, NAVAL RESEARCH LAB STENNIS DETACHMENT STENNIS SPACE CENTER MS OCEANOGRAPHY DIV, Van Cooten, Suzanne, Kelleher, Kevin E, Howard, Kenneth, Zhang, Jian, Gourley, Jonathan J, Kain, John S, Nemunaitis-Monroe, Kodi, Flamig, Zac, Moser, Heather, and Arthur, Ami

Abstract

The objective of the Coastal and Inland Flooding Observation and Warning (CI-FLOW) project is to prototype new hydrometeorologic techniques to address a critical NOAA service gap: routine total water level predictions for tidally influenced watersheds Since February 2000, the project has focused on developing a coupled modeling system to accurately account for water at all locations in a coastal watershed by exchanging data between atmospheric, hydrologic, and hydrodynamic models. These simulations account for the quantity of water associated with waves, tides, storm surge, rivers, and rainfall, including interactions at the tidal/surge interface. Within this project, Cl-FLOW addresses the following goals: (1) apply advanced weather and oceanographic monitoring and prediction techniques to the coastal environment; (2) prototype an automated hydrometeorologic data collection and prediction system; (3) facilitate interdisciplinary and multi-organizational collaborations; and (4) enhance techniques and technologies that improve actionable hydrologic/hydrodynamic information to reduce the impacts of coastal flooding Results are presented for Hurricane Isabel (2003), Hurricane Earl (20I0), and Tropical Storm Nicole (2010) for the Tar -Pamlico and Neuse River basins of North Carolina. This area was chosen, in part, because of the tremendous damage inflicted by Hurricanes Dennis and Floyd (1999) The vision is to transition CI-FLOW research findings and technologies to other U.S. coastal watersheds., Published in the American Meteorological Society p1427-1442, Nov 2011.

Published
2011

9. The CI-FLOW Project: A System for Total Water Level Prediction from the Summit to the Sea

Author

Van Cooten, Suzanne, primary, Kelleher, Kevin E., additional, Howard, Kenneth, additional, Zhang, Jian, additional, Gourley, Jonathan J., additional, Kain, John S., additional, Nemunaitis-Monroe, Kodi, additional, Flamig, Zac, additional, Moser, Heather, additional, Arthur, Ami, additional, Langston, Carrie, additional, Kolar, Randall, additional, Hong, Yang, additional, Dresback, Kendra, additional, Tromble, Evan, additional, Vergara, Humberto, additional, Luettich, Richard A, additional, Blanton, Brian, additional, Lander, Howard, additional, Galluppi, Ken, additional, Losego, Jessica Proud, additional, Blain, Cheryl Ann, additional, Thigpen, Jack, additional, Mosher, Katie, additional, Figurskey, Darin, additional, Moneypenny, Michael, additional, Blaes, Jonathan, additional, Orrock, Jeff, additional, Bandy, Rich, additional, Goodall, Carin, additional, Kelley, John G. W., additional, Greenlaw, Jason, additional, Wengren, Micah, additional, Eslinger, Dave, additional, Payne, Jeff, additional, Olmi, Geno, additional, Feldt, John, additional, Schmidt, John, additional, Hamill, Todd, additional, Bacon, Robert, additional, Stickney, Robert, additional, and Spence, Lundie, additional

Published
2011
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10. National Mosaic and Multi-Sensor QPE (NMQ) System: Description, Results, and Future Plans

Author

Zhang, Jian, primary, Howard, Kenneth, primary, Langston, Carrie, additional, Vasiloff, Steve, additional, Kaney, Brian, additional, Arthur, Ami, additional, Van Cooten, Suzanne, additional, Kelleher, Kevin, additional, Kitzmiller, David, additional, Ding, Feng, additional, Seo, Dong-Jun, additional, Wells, Ernie, additional, and Dempsey, Chuck, additional

Published
2011
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12. Statistical Analysis of Seasonal Precipitation for the Lake Pontchartrain Basin and Associated Watersheds

Author

Van Cooten, Suzanne

Subjects
Statistical analysis of rainfall, Louisiana precipitation, Lake Pontchartrain, Rainfall Patterns, Rainfall Database, Rainfall Climatology
Abstract

To investigate seasonal patterns of precipitation, statistical analysis was performed on a dataset of daily rainfall observed at 63 south Louisiana stations from 1836 to 2002. Each station record was examined for data quality and continuity with special attention to time periods surrounding station relocation or equipment exchange. Mean Areal Precipitation (MAP) sheets were compiled for every month from 1836 to 2002 to document the daily rainfall across south Louisiana and neighboring portions of southern and coastal Mississippi. Using these MAP sheets, missing data was examined to see if a reasonable value could be substituted to extend the continuity of a station's rainfall record. Once these data quality and continuity checks were completed, a series of statistical tests were conducted to determine an accurate scheme to form station groups. To group stations together, each station was required to have a normal distribution of monthly average rainfall, a statistically equivalent variance, and a statistically equivalent mean when compared with other stations in the group. As a result of the Shapiro-Wilk Test, the F-Test, and the Student T-test, eight station groups were formed. To define seasonal rainfall patterns across south Louisiana, statistical tests were conducted for a 12 month period and six and three month intervals. For the six month intervals, group rainfall averages and pooled variances were calculated for each interval beginning with January-July and ending with December-May. For the three month intervals, group rainfall averages and pooled variances were calculated for January-March and concluded with December-February. To test the hypothesis of a statistically significant difference in mean rainfall between the eight groups for a 12, six, and three month period, the Student T-test was conducted. For an annual basis, there is a statistically significant difference in average rainfall at a five percent level of significance between all of the groups except the Southshore (S.S) group when compared to the SW1 group. For six and three month intervals, statistically significant differences exist between the eight groups especially during winter and segments of the Hurricane season from June to November.

Published
2005

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