Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Rolf H. Langland"'
Autor:
Rolf H. Langland, Ryan N. Maue
Publikováno v:
Tellus: Series A, Dynamic Meteorology and Oceanography, Vol 64, Iss 0, Pp 1-10 (2012)
A multi-model archive of global deterministic forecasts and analyses from three operational systems is constructed to analyse recent Northern Hemisphere mid-latitude forecast skill from 2007 to 2012 and its relation to large-scale atmospheric flow an
Externí odkaz:
https://doaj.org/article/d75c4d72971048e5a8ef2911cc7b5b53
Autor:
Dacian N. Daescu, Rolf H. Langland
Publikováno v:
Monthly Weather Review.
The forecast sensitivity to observations (FSO) is embedded into a new optimization framework for improving the observation performance in atmospheric data assimilation. Key ingredients are introduced as follows: the innovation-weight parametrization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8537fa4fcfa3a5d788f6aa0a7405e46b
https://doi.org/10.1175/mwr-d-21-0305.1
https://doi.org/10.1175/mwr-d-21-0305.1
Autor:
Rolf H. Langland, F. Martin Ralph, Rebecca E. Stone, James D. Doyle, Nancy L. Baker, David A. Lavers, Carolyn A. Reynolds
Publikováno v:
Monthly Weather Review. 148:763-782
Atmospheric rivers, often associated with impactful weather along the west coast of North America, can be a challenge to forecast even on short time scales. This is attributed, at least in part, to the scarcity of eastern Pacific in situ observations
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32536992601dc69c8d15ba74d07e55cf
https://doi.org/10.1175/mwr-d-19-0101.1
https://doi.org/10.1175/mwr-d-19-0101.1
Publikováno v:
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) ISBN: 9783030777210
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8075900e890087a08506c5514abdf30b
https://doi.org/10.1007/978-3-030-77722-7_22
https://doi.org/10.1007/978-3-030-77722-7_22
Autor:
Rolf H. Langland, Douglas R. Allen, Craig H. Bishop, David D. Kuhl, Karl W. Hoppel, Sergey Frolov
Publikováno v:
Monthly Weather Review. 146:2247-2270
The local ensemble tangent linear model (LETLM) provides an alternative method for creating the tangent linear model (TLM) and adjoint of a nonlinear model that promises to be easier to maintain and more computationally scalable than earlier methods.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d4a7b4c242510f023fd7ef34e36fcf5
https://doi.org/10.1175/mwr-d-17-0315.1
https://doi.org/10.1175/mwr-d-17-0315.1
Autor:
Heini Wernli, T. Nakazawa, Gilbert Brunet, Duane E. Waliser, Mitchell W. Moncrieff, David Burridge, Christopher P. Riedel, Steven M. Cavallo, Sharanya J. Majumdar, Patrick A. Harr, A. Diongue Niang, A. J. Thorpe, Sarah C. Jones, David B. Parsons, Huw C. Davies, Philippe Bougeault, Thomas M. Hamill, Pierre Gauthier, Jean-Luc Redelsperger, Florence Rabier, Roger Saunders, Brian Mills, Rolf H. Langland, Richard Swinbank, Martin Charron, Melvyn A. Shapiro, M. Beland, Xuguang Wang, Chris D. Thorncroft, Zoltan Toth, Istvan Szunyogh, Véronique Ducrocq, Tiziana Paccagnella, James Caughey
Publikováno v:
Bulletin Of The American Meteorological Society (0003-0007) (Amer Meteorological Soc), 2017-04, Vol. 98, N. 4, P. 807-830
The Observing System Research and Predictability Experiment (THORPEX) was a 10-yr, international research program organized by the World Meteorological Organization’s World Weather Research Program. THORPEX was motivated by the need to accelerate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3220dfe6b337b8fb21feef349169629f
https://doi.org/10.1175/bams-d-14-00025.1
https://doi.org/10.1175/bams-d-14-00025.1
Autor:
Rolf H. Langland, Brett T. Hoover
Publikováno v:
Journal of the Meteorological Society of Japan. Ser. II. 95:369-389
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::288f9d7b875dcd6a5efa6a5d169f03a6
https://doi.org/10.2151/jmsj.2017-023
https://doi.org/10.2151/jmsj.2017-023
Autor:
Rolf H. Langland, Dacian N. Daescu
Publikováno v:
IFAC-PapersOnLine. 49:176-181
An innovation-weight parametrization is introduced as a practical approach to account for deficiencies in the representation of both background error and observation error covariance in a variational data assimilation system. The adjoint-based evalua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::630de6dc73479d529b448d9b706cc6f8
https://doi.org/10.1016/j.ifacol.2016.10.159
https://doi.org/10.1016/j.ifacol.2016.10.159
Autor:
Robert Atlas, Michael J. Kavaya, Will McCarty, Amy C. Clement, Lars Peter Riishojgaard, Martin Weissmann, Rolf H. Langland, W. E. Baker, Sara C. Tucker, Michiko Masutani, James M. Ryan, Erland Källén, R. Bradley Pierce, James G. Yoe, Zhaoxia Pu, Bruce M. Gentry, Zaizhong Ma, R. Michael Hardesty, Carla Cardinali, G. D. Emmitt
Publikováno v:
Bulletin of the American Meteorological Society. 95:543-564
The three-dimensional global wind field is the most important remaining measurement needed to accurately assess the dynamics of the atmosphere. Wind information in the tropics, high latitudes, and stratosphere is particularly deficient. Furthermore,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac136e9c6ce1ba482ef7665c4a5723f9
https://doi.org/10.1175/bams-d-12-00164.1
https://doi.org/10.1175/bams-d-12-00164.1
Autor:
Dacian N. Daescu, Rolf H. Langland
Publikováno v:
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) ISBN: 9783319434148
Novel applications of the adjoint-based sensitivity tools are investigated to obtain a priori guidance on the forecast impact of modeling correlated observational errors in a four-dimensional variational data assimilation system (4D-Var DAS) . A syne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f61e63927b1608b11da01f6585f0ef70
https://doi.org/10.1007/978-3-319-43415-5_16
https://doi.org/10.1007/978-3-319-43415-5_16