|Home||<< 1 2 3 4 5 6 7 8 9 >>|
|O'Brien, J. J., & Bourassa, M. A. (2000). Scatterometry at COAPS. In Proceedings of the Ocean Vector Wind Science Team Meeting, Arcadia, CA, USA.|
|Powell, M. (2010). ), Observing and Analyzing the Near-Surface Wind Field in Tropical Cyclones. In J. C. L. Chan, & J. D. Kepert (Eds.), Global Perspectives on Tropical Cyclones: From Science to Mitigation (pp. 177–199). World Scientific.|
|Powell, M. D., & Cocke, S. (2012). Hurricane wind fields needed to assess risk to offshore wind farms. Proc Natl Acad Sci U S A, 109(33), E2192; author reply E2193–4.|
Proshutinsky, A., Dukhovskoy, D., Timmermans, M. - L., Krishfield, R., & Bamber, J. L. (2015). Arctic circulation regimes. Philos Trans A Math Phys Eng Sci, 373(2052).
Abstract: Between 1948 and 1996, mean annual environmental parameters in the Arctic experienced a well-pronounced decadal variability with two basic circulation patterns: cyclonic and anticyclonic alternating at 5 to 7 year intervals. During cyclonic regimes, low sea-level atmospheric pressure (SLP) dominated over the Arctic Ocean driving sea ice and the upper ocean counterclockwise; the Arctic atmosphere was relatively warm and humid, and freshwater flux from the Arctic Ocean towards the subarctic seas was intensified. By contrast, during anticylonic circulation regimes, high SLP dominated driving sea ice and the upper ocean clockwise. Meanwhile, the atmosphere was cold and dry and the freshwater flux from the Arctic to the subarctic seas was reduced. Since 1997, however, the Arctic system has been under the influence of an anticyclonic circulation regime (17 years) with a set of environmental parameters that are atypical for this regime. We discuss a hypothesis explaining the causes and mechanisms regulating the intensity and duration of Arctic circulation regimes, and speculate how changes in freshwater fluxes from the Arctic Ocean and Greenland impact environmental conditions and interrupt their decadal variability.
|Purna Chand, C., Rao, M. V., Ramana, I. V., Ali, M. M., Patoux, J., & Bourassa, M. A. (2014). Estimation of sea level pressure fields during Cyclone Nilam from Oceansat-2 scatterometer winds. Atmos. Sci. Lett., 15(1), 65–71.|
|Qian, C., Fu, C., Wu, Z., & Yan, Z. (2011). The role of changes in the annual cycle in earlier onset of climatic spring in northern China. Adv. Atmos. Sci., 28(2), 284–296.|
|Qian, C., Wu, Z., Fu, C., & Zhou, T. (2010). On multi-timescale variability of temperature in China in modulated annual cycle reference frame. Adv. Atmos. Sci., 27(5), 1169–1182.|
|Qian, C., Yan, Z., Wu, Z., Fu, C., & Tu, K. (2011). Trends in temperature extremes in association with weather-intraseasonal fluctuations in eastern China. Adv. Atmos. Sci., 28(2), 297–309.|
Rodríguez, E., Bourassa, M., Chelton, D., Farrar, J. T., Long, D., Perkovic-Martin, D., et al. (2019). The Winds and Currents Mission Concept. Front. Mar. Sci., 6.
Abstract: The Winds and Currents Mission (WaCM) is a proposed approach to meet the need identified by the NRC Decadal Survey for the simultaneous measurements of ocean vector winds and currents. WaCM features a Ka-band pencil-beam Doppler scatterometer able to map ocean winds and currents globally. We review the principles behind the WaCM measurement and the requirements driving the mission. We then present an overview of the WaCM observatory and tie its capabilities to other OceanObs reviews and measurement approaches.
|Shin, D. W., G. A. Baigorria, Y.-K. Lim, S. Cocke, T. E. LaRow, J. J. O'Brien, and J. W. Jones. (2009). Assessing Crop Yield Simulations with Various Seasonal Climate Data. Science and Technology Infusion Climate Bulletin, .|