Weissman, D. E., Bourassa, M. A., O'Brien, J. J., & Tongue, J. S. (2003). Calibrating the quikscat/seawinds radar for measuring rainrate over the oceans. IEEE Trans. Geosci. Remote Sensing, 41(12), 2814–2820.
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Weissman, D. E., Bourassa, M. A., & Tongue, J. (2002). Effects of Rain Rate and Wind Magnitude on SeaWinds Scatterometer Wind Speed Errors. J. Atmos. Oceanic Technol., 19(5), 738–746.
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Weissman, D. E., & Bourassa, M. A. (2011). The effect of rain on ASCAT observations of the sea surface radar cross section using simultaneous 3-d NEXRAD rain measurements. In IEEE International Symposium on Geoscience and Remote Sensing IGARSS (pp. 1171–1174).
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Weissman, D. E., Morey, S., & Bourassa, M. (2017). Studies of the effects of rain on the performance of the SMAP radiometer surface salinity estimates and applications to remote sensing of river plumes. In IEEE International Symposium on Geoscience and Remote Sensing IGARSS (pp. 1491–1494).
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Wentz, F. J., Ricciardulli, L., Rodriguez, E., Stiles, B. W., Bourassa, M. A., Long, D. G., et al. (2017). Evaluating and Extending the Ocean Wind Climate Data Record. IEEE J Sel Top Appl Earth Obs Remote Sens, 10(5), 2165–2185.
Abstract: Satellite microwave sensors, both active scatterometers and passive radiometers, have been systematically measuring near-surface ocean winds for nearly 40 years, establishing an important legacy in studying and monitoring weather and climate variability. As an aid to such activities, the various wind datasets are being intercalibrated and merged into consistent climate data records (CDRs). The ocean wind CDRs (OW-CDRs) are evaluated by comparisons with ocean buoys and intercomparisons among the different satellite sensors and among the different data providers. Extending the OW-CDR into the future requires exploiting all available datasets, such as OSCAT-2 scheduled to launch in July 2016. Three planned methods of calibrating the OSCAT-2 sigmao measurements include 1) direct Ku-band sigmao intercalibration to QuikSCAT and RapidScat; 2) multisensor wind speed intercalibration; and 3) calibration to stable rainforest targets. Unfortunately, RapidScat failed in August 2016 and cannot be used to directly calibrate OSCAT-2. A particular future continuity concern is the absence of scheduled new or continuation radiometer missions capable of measuring wind speed. Specialized model assimilations provide 30-year long high temporal/spatial resolution wind vector grids that composite the satellite wind information from OW-CDRs of multiple satellites viewing the Earth at different local times.
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Zavala-Hidalgo, J., Yu, P., Morey, S. L., Bourassa, M. A., & O'Brien, J. J. (2003). A new interpolation method for high frequency forcing fields (J. Cote, Ed.). Research Activities in Atmospheric and Oceanic Modeling, Report No. 33. Geneva, Switzerland: World Meteorological Organization.
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Zheng, Y., Ali, M. M., & Bourassa, M. A. (2016). Contribution of Monthly and Regional Rainfall to the Strength of Indian Summer Monsoon. Mon. Wea. Rev., 144(9), 3037–3055.
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Zheng, Y., Bourassa, M. A., & Dukhovskoy, D. S. (2018). Upper-Ocean Processes Controlling the Sea Surface Temperature in the Western Gulf of Mexico. In American Geophysical Union (Vol. Fall Meeting).
Abstract: This study examines the upper-ocean processes controlling the mixed layer temperature in the western Gulf of Mexico (GOM) through estimating the contributing terms in the heat equation, with an emphasis on eddies' role. The major heat contributing terms for the upper GOM were estimated using two ocean reanalysis datasets: an eddy-resolving HYbrid Coordinate Ocean Model (HYCOM) and a Simple Ocean Data Assimilation (SODA). Analysis of net surface heat fluxes from four datasets reveals that the long-term mean net surface heat flux cools the northern GOM and warms the southern GOM. Two regions are focused for analysis: an eddy-rich region where LCEs are energetic, and the southwestern Gulf where eddy activity is relatively weak and the features of near surface temperature differ from the eddy-rich region. An eddy-rich region in the western GOM is defined based on the eddy kinetic energy derived from satellite sea surface heights. The long-term mean horizontal heat advection causes a weak warming over most of the eddy rich region, partly attributed to the flow-temperature configuration that the long-term and seasonally mean flow is nearly parallel to the corresponding mean isotherms. By contrast, the temporal mean vertical heat advection causes a strong warming in the eddy rich region, partly balancing the cooling caused by net surface heat flux. The temporal mean eddy heat flux convergence in the western GOM, whose positive and negative values are not small at some locations, appears heterogeneous in space, resulting in a small term for the western GOM when area averaged. The persistent warm water in the southwestern Gulf is primarily caused by the net warming from net surface heat flux rather than from eddies and heat advection.
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Zheng, Y., Bourassa, M. A., Ali, M. M., & Krishnamurti, T. N. (2016). Distinctive features of rainfall over the Indian homogeneous rainfall regions between strong and weak Indian summer monsoons. J. Geophys. Res. Atmos., 121(10), 5631–5647.
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Zheng, Y., Bourassa, M. A., & Hughes, P. (2013). Influences of Sea Surface Temperature Gradients and Surface Roughness Changes on the Motion of Surface Oil: A Simple Idealized Study. J. Appl. Meteor. Climatol., 52(7), 1561–1575.
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