Zobrazeno 1 - 10
of 266
pro vyhledávání: '"S. C. Bloom"'
Autor:
Arlindo da Silva, John S. Woollen, Siegfried D. Schubert, Christopher R. Redder, Gi-Kong Kim, Andrea Molod, Junye Chen, Tommy Owens, Joanna Joiner, Philip Pegion, Rolf H. Reichle, Steven Pawson, S. C. Bloom, Robert A. Lucchesi, Michael G. Bosilovich, Ricardo Todling, Meta Sienkiewicz, Austin Conaty, Lawrence L. Takacs, Michele M. Rienecker, Albert G. Ruddick, Max J. Suarez, Randal D. Koster, Julio T. Bacmeister, Franklin R. Robertson, Ronald Gelaro, Emily Liu, Wei Gu, Douglas Collins
Publikováno v:
Journal of Climate. 24:3624-3648
The Modern-Era Retrospective Analysis for Research and Applications (MERRA) was undertaken by NASA’s Global Modeling and Assimilation Office with two primary objectives: to place observations from NASA’s Earth Observing System satellites into a c
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 20:585-605
Autor:
J. Terry, S. M. Leidner, Robert Atlas, S. C. Bloom, J. C. Jusem, J. Ardizzone, D. Bungato, T.-W. Yu, J. Sienkiewicz, E. Brin, Ross N. Hoffman
Publikováno v:
Bulletin of the American Meteorological Society. 82:1965-1990
Satellite scatterometer observations of the ocean surface wind speed and direction improve the depiction of storms at sea. Over the ocean, scatterometer surface winds are deduced from multiple measurements of reflected radar power made from several d
Publikováno v:
Monthly Weather Review. 124:1256-1271
The IAU (incremental analysis updating) process incorporates analysis increments into a model integration in a gradual manner. It does this by using analysis increments as constant forcings in a model's prognostic equations over a 6-h period centered
Publikováno v:
Bulletin of the American Meteorological Society. 77:869-882
The Special Sensor Microwave Imagers (SSM/I) aboard three DMSP satellites have improved a large dataset of surface wind speeds over the global oceans from July 1987 to the present. These data are characterized by high resolution, coverage, and accura
Publikováno v:
SPIE Proceedings.
The SeaWinds scatterometer (like NSCAT and ERS) is able to detect unequivocal signatures of meteorological features including cyclones, fronts, anticyclones, easterly waves and other precursors of hurricanes and typhoons. Through collaborative effort
Publikováno v:
Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492).
Scatterometer observations of the ocean surface wind speed and direction improve the depiction and prediction of storms at sea. These data are especially valuable where observations are otherwise sparse-mostly in the Southern Hemisphere and tropics,
Publikováno v:
Eos, Transactions American Geophysical Union. 72:201-201
A novel and unique ocean-surface wind data-set has been derived by combining the Defense Meteorological Satellite Program Special Sensor Microwave Imager data with additional conventional data. The variational analysis used generates a gridded surfac
Autor:
Buckner-Capone, Anji, Dougan, Marcelle
Publikováno v:
Health Promotion Practice; Sep2024, Vol. 25 Issue 5, p787-798, 12p
Autor:
J. Terry, Ross N. Hoffman, J. Ardizzone, E. Brin, Robert Atlas, S. C. Bloom, J. C. Jusem, D. Bungato
Publikováno v:
Scopus-Elsevier
A detailed geophysical evaluation of the initial NASA scatterometer (NSCAT) wind data sets was performed in order to determine the error characteristics of these data and their applicability to ocean surface analysis and numerical prediction. The fir
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