Zobrazeno 1 - 10
of 356
pro vyhledávání: '"J L Anderson"'
Publikováno v:
The Cryosphere, Vol 18, Pp 5365-5382 (2024)
A rigorous exploration of the sea ice data assimilation (DA) problem using a framework specifically developed for rapid, interpretable hypothesis testing is presented. In many applications, DA is implemented to constrain a modeled estimate of a state
Externí odkaz:
https://doaj.org/article/13797d02ecd64fc7bb31112b0999303d
Autor:
E H Ludwig, P N Hopkins, A Allen, L L Wu, R R Williams, J L Anderson, R H Ward, J M Lalouel, T L Innerarity
Publikováno v:
Journal of Lipid Research, Vol 38, Iss 7, Pp 1361-1373 (1997)
To search for unique mutations in the apolipoprotein B (apoB) gene that disrupt the binding of LDL to its receptor and cause hypercholesterolemia, we examined more than 800 patients with high LDL cholesterol levels and/or coronary artery disease (CAD
Externí odkaz:
https://doaj.org/article/67689e897eaf42f4a73acc830168b206
Autor:
J. L. Anderson
Pigs are everywhere in United States history. They cleared frontiers and built cities (notably Cincinnati, once known as Porkopolis), served as an early form of welfare, and were at the center of two nineteenth-century “pig wars.” American pork f
Autor:
E. Gorokhovsky, J. L. Anderson
Publikováno v:
Nonlinear Processes in Geophysics, Vol 30, Pp 37-47 (2023)
Data assimilation (DA), the statistical combination of computer models with measurements, is applied in a variety of scientific fields involving forecasting of dynamical systems, most prominently in atmospheric and ocean sciences. The existence of mi
Externí odkaz:
https://doaj.org/article/f815f0b5b36f4ceb9a34081f07847113
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 3727-3745 (2018)
Assimilation of atmospheric composition retrievals presents computational challenges due to their high data volume and often sparse information density. Assimilation of compact phase space retrievals (CPSRs) meets those challenges and offers a pro
Externí odkaz:
https://doaj.org/article/ae82ef9f97b542119b71bcb9aa01d03f
Autor:
A. Aydoğdu, T. J. Hoar, T. Vukicevic, J. L. Anderson, N. Pinardi, A. Karspeck, J. Hendricks, N. Collins, F. Macchia, E. Özsoy
Publikováno v:
Nonlinear Processes in Geophysics, Vol 25, Pp 537-551 (2018)
An observing system simulation experiment (OSSE) is presented in the Sea of Marmara. A high-resolution ocean circulation model (FESOM) and an ensemble data assimilation tool (DART) are coupled. The OSSE methodology is used to assess the possible i
Externí odkaz:
https://doaj.org/article/8dbbaf97ce7e432fbe68e31d5669f116
Publikováno v:
Atmospheric Chemistry and Physics, Vol 17, Pp 7067-7081 (2017)
Observations of trace gases from space-based instruments offer the opportunity to constrain chemical and weather forecast and reanalysis models using the tools of data assimilation. In this study, observing system simulation experiments (OSSEs) ar
Externí odkaz:
https://doaj.org/article/e1ecb2ff5ea9487dad0f238f997d67bb
Autor:
J. L. Anderson
Publikováno v:
A Companion to American Agricultural History. :60-74
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::609c037d5be8ceca2c0fb003eacb4790
https://doi.org/10.1002/9781119632214.ch5
https://doi.org/10.1002/9781119632214.ch5
Publikováno v:
Geoscientific Model Development, Vol 9, Iss 3, Pp 965-978 (2016)
This paper introduces the Weather Research and Forecasting Model with chemistry/Data Assimilation Research Testbed (WRF-Chem/DART) chemical transport forecasting/data assimilation system together with the assimilation of compact phase space retrieval
Externí odkaz:
https://doaj.org/article/72f3e710c4304d199c8bc06710528c25
Autor:
J. I. Rubin, J. S. Reid, J. A. Hansen, J. L. Anderson, N. Collins, T. J. Hoar, T. Hogan, P. Lynch, J. McLay, C. A. Reynolds, W. R. Sessions, D. L. Westphal, J. Zhang
Publikováno v:
Atmospheric Chemistry and Physics, Vol 16, Pp 3927-3951 (2016)
An ensemble-based forecast and data assimilation system has been developed for use in Navy aerosol forecasting. The system makes use of an ensemble of the Navy Aerosol Analysis Prediction System (ENAAPS) at 1 × 1°, combined with an ensemble adju
Externí odkaz:
https://doaj.org/article/0fc46aba805043ab8d208c88466a7f79