Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mariken Homleid"'
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 3347-3368 (2018)
Sea ice is an important factor affecting weather regimes, especially in polar regions. A lack of its representation in numerical weather prediction (NWP) systems leads to large errors. For example, in the HARMONIE–AROME model configuration of the A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b51be4c875b47a60521243dfbd06db5
https://www.geosci-model-dev.net/11/3347/2018/gmd-11-3347-2018.pdf
https://www.geosci-model-dev.net/11/3347/2018/gmd-11-3347-2018.pdf
Autor:
Mariken Homleid, Dag Bjørge, Per Dahlgren, Ulf Andrae, Knut Helge Midtbø, Roger Randriamampianina, Trygve Aspelien, Malte Müller, Morten Køltzow, Karl-Ivar Ivarsson, Ole Vignes, Martin Ridal, Jørn Kristiansen, Lars Berggren, Magnus Lindskog
Publikováno v:
Weather and Forecasting. 32:609-627
Since October 2013 a convective-scale weather prediction model has been used operationally to provide short-term forecasts covering large parts of the Nordic region. The model is now operated by a bilateral cooperative effort [Meteorological Cooperat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::143e2b45ad4b3504c92bfb7fa6320524
https://doi.org/10.1175/waf-d-16-0099.1
https://doi.org/10.1175/waf-d-16-0099.1
In Norway, thirty percent of the annual precipitation falls as snow. Knowledge of the snow reservoir is therefore important for energy production and water resource management. The land surface model SURFEX with the detailed snowpack scheme Crocus (S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::688ade631e81fa923defc4f175eeef2a
https://doi.org/10.5194/tc-2017-220
https://doi.org/10.5194/tc-2017-220
Autor:
Mariken Homleid
Publikováno v:
Weather and Forecasting. 10:689-707
Surface temperature forecasts from numerical weather prediction models are known to have systematic errors, partly due to poor resolution of the topography and deficiencies in the physical formulation. The Kalman filter theory provides an excellent t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::390859902f0724a4ebe89af93c5128d1
https://doi.org/10.1175/1520-0434(1995)010<0689:dcosts>2.0.co
https://doi.org/10.1175/1520-0434(1995)010<0689:dcosts>2.0.co
Autor:
Lars-Anders Breivik, Mariken Homleid
Publikováno v:
Tellus A; Vol 47, No 1 (1995)
This paper presents an investigation of how to use spatially dense and correlated observations in numerical weather prediction (NWP) models. As an example, we study the error characteristics of ERS-1 scatterometer winds, by comparison to collocated 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::331255a908318dc6d8a44a4fec78671f
http://www.tellusa.net/index.php/tellusa/article/view/11494
http://www.tellusa.net/index.php/tellusa/article/view/11494