Zobrazeno 1 - 9
of 9
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::452e59fb50f70a07128ab619976a4550
https://doi.org/10.1175/jcli-d-11-00015.1
https://doi.org/10.1175/jcli-d-11-00015.1
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fdee5470b5b7c8248e9f30206ad7b197
https://doi.org/10.1175/1520-0477(2001)082<1965:teomwf>2.3.co
https://doi.org/10.1175/1520-0477(2001)082<1965:teomwf>2.3.co
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf00d27ce6002bd49b4e6da6edb6ba57
https://doi.org/10.1175/1520-0493(1996)124<1256:dauiau>2.0.co
https://doi.org/10.1175/1520-0493(1996)124<1256:dauiau>2.0.co
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1ab07c4771b4bae2717713d71e59875
https://doi.org/10.1175/1520-0477(1996)077<0869:amgswv>2.0.co
https://doi.org/10.1175/1520-0477(1996)077<0869:amgswv>2.0.co
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b620a782bd825a000855a77d2651709c
https://doi.org/10.1117/12.505896
https://doi.org/10.1117/12.505896
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,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::665f4fb5a14664950b3d4508e7a63d22
https://doi.org/10.1109/oceans.2003.178110
https://doi.org/10.1109/oceans.2003.178110
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81ac2354288a350474fd901a37a18766
https://doi.org/10.1029/90eo00150
https://doi.org/10.1029/90eo00150
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::005460009e05f3ef3740974dd5b82d92
http://www.scopus.com/inward/record.url?eid=2-s2.0-0033562290&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-0033562290&partnerID=MN8TOARS
Publikováno v:
Journal of Geophysical Research. 92:6477
Procedures for dealiasing Seasat data and developing global surface wind and latent and sensible heat flux fields are discussed. Seasat data from September 20, 1978 was dealiased using the Goddard Laboratory for Atmospheres (GLA) analysis/forecast sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::600118af8b7c82bbdda2f79a6c70338e
https://doi.org/10.1029/jc092ic06p06477
https://doi.org/10.1029/jc092ic06p06477