Zobrazeno 1 - 10
of 357
pro vyhledávání: '"J. L. Anderson"'
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:
Atmospheric Chemistry and Physics, Vol 21, Pp 9573-9583 (2021)
Observations of winds in the planetary boundary layer remain sparse making it challenging to simulate and predict atmospheric conditions that are most important for describing and predicting urban air quality. Short-lived chemicals are observed as pl
Externí odkaz:
https://doaj.org/article/15ec7107e6b6409b830c876e8c87991e
Autor:
Y.-F. Zhang, C. M. Bitz, J. L. Anderson, N. S. Collins, T. J. Hoar, K. D. Raeder, E. Blanchard-Wrigglesworth
Publikováno v:
The Cryosphere, Vol 15, Pp 1277-1284 (2021)
Uncertain or inaccurate parameters in sea ice models influence seasonal predictions and climate change projections in terms of both mean and trend. We explore the feasibility and benefits of applying an ensemble Kalman filter (EnKF) to estimate param
Externí odkaz:
https://doaj.org/article/653a926d6da64657af362495245bd5af
Publikováno v:
Atmospheric Measurement Techniques, Vol 14, Pp 1099-1110 (2021)
Lidar backscatter and wind retrievals of the planetary boundary layer height (PBLH) are assimilated into 22-hourly forecasts from the NASA Unified – Weather and Research Forecast (NU-WRF) model during the Plains Elevated Convection at Night (PECAN)
Externí odkaz:
https://doaj.org/article/ba2d7bb0c3024403a70ba160d9bb8e4e
Autor:
B. Gaubert, L. K. Emmons, K. Raeder, S. Tilmes, K. Miyazaki, A. F. Arellano Jr., N. Elguindi, C. Granier, W. Tang, J. Barré, H. M. Worden, R. R. Buchholz, D. P. Edwards, P. Franke, J. L. Anderson, M. Saunois, J. Schroeder, J.-H. Woo, I. J. Simpson, D. R. Blake, S. Meinardi, P. O. Wennberg, J. Crounse, A. Teng, M. Kim, R. R. Dickerson, H. He, X. Ren, S. E. Pusede, G. S. Diskin
Publikováno v:
Atmospheric Chemistry and Physics, Vol 20, Pp 14617-14647 (2020)
Global coupled chemistry–climate models underestimate carbon monoxide (CO) in the Northern Hemisphere, exhibiting a pervasive negative bias against measurements peaking in late winter and early spring. While this bias has been commonly attributed t
Externí odkaz:
https://doaj.org/article/8ffc0c8366fd4e27a456d9f234799f0a
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
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