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Dahlgren, Per
Publikationer (5 of 5) Visa alla publikationer
Dahlgren, P., Landelius, T., Kållberg, P. & Gollvik, S. (2016). A high-resolution regional reanalysis for Europe. Part 1: Three-dimensional reanalysis with the regional HIgh-Resolution Limited-Area Model (HIRLAM). Quarterly Journal of the Royal Meteorological Society, 142(698), 2119-2131
Öppna denna publikation i ny flik eller fönster >>A high-resolution regional reanalysis for Europe. Part 1: Three-dimensional reanalysis with the regional HIgh-Resolution Limited-Area Model (HIRLAM)
2016 (Engelska)Ingår i: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870X, Vol. 142, nr 698, s. 2119-2131Artikel i tidskrift (Refereegranskat) Published
Nationell ämneskategori
Meteorologi och atmosfärforskning
Forskningsämne
Meteorologi
Identifikatorer
urn:nbn:se:smhi:diva-3037 (URN)10.1002/qj.2807 (DOI)000380941100019 ()
Externt samarbete:
Tillgänglig från: 2016-09-01 Skapad: 2016-09-01 Senast uppdaterad: 2017-11-21Bibliografiskt granskad
Landelius, T., Dahlgren, P., Gollvik, S., Jansson, A. & Olsson, E. (2016). A high-resolution regional reanalysis for Europe. Part 2: 2D analysis of surface temperature, precipitation and wind. Quarterly Journal of the Royal Meteorological Society, 142(698), 2132-2142
Öppna denna publikation i ny flik eller fönster >>A high-resolution regional reanalysis for Europe. Part 2: 2D analysis of surface temperature, precipitation and wind
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2016 (Engelska)Ingår i: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870X, Vol. 142, nr 698, s. 2132-2142Artikel i tidskrift (Refereegranskat) Published
Nationell ämneskategori
Meteorologi och atmosfärforskning
Forskningsämne
Meteorologi
Identifikatorer
urn:nbn:se:smhi:diva-3038 (URN)10.1002/qj.2813 (DOI)000380941100020 ()
Externt samarbete:
Tillgänglig från: 2016-09-01 Skapad: 2016-09-01 Senast uppdaterad: 2017-11-21Bibliografiskt granskad
Dahlgren, P. & Gustafsson, N. (2012). Assimilating host model information into a limited area model. Tellus. Series A, Dynamic meteorology and oceanography, 64, Article ID 15836.
Öppna denna publikation i ny flik eller fönster >>Assimilating host model information into a limited area model
2012 (Engelska)Ingår i: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 64, artikel-id 15836Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

We propose to add an extra source of information to the data-assimilation of the regional HIgh Resolution Limited Area Model (HIRLAM) model, constraining larger scales to the host model providing the lateral boundary conditions. An extra term, J(k), measuring the distance to the large-scale vorticity of the host model, is added to the cost-function of the variational data-assimilation. Vorticity is chosen because it is a good representative of the large-scale flow and because vorticity is a basic control variable of the HIRLAM variational data-assimilation. Furthermore, by choosing only vorticity, the remaining model variables, divergence, temperature, surface pressure and specific humidity will be allowed to adapt to the modified vorticity field in accordance with the internal balance constraints of the regional model. The error characteristics of the J(k) term are described by the horizontal spectral densities and the vertical eigenmodes (eigenvectors and eigenvalues) of the host model vorticity forecast error fields, expressed in the regional model geometry. The vorticity field, provided by the European Centre for Medium-range Weather Forecasts (ECMWF) operational model, was assimilated into the HIRLAM model during an experiment period of 33 d in winter with positive impact on forecast verification statistics for upper air variables and mean sea level pressure.

Nyckelord
data-assimilation, large-scale constraint, error covariances, limited area, host model
Nationell ämneskategori
Meteorologi och atmosfärforskning
Forskningsämne
Meteorologi
Identifikatorer
urn:nbn:se:smhi:diva-489 (URN)10.3402/tellusa.v64i0.15836 (DOI)000300394900001 ()
Tillgänglig från: 2015-04-14 Skapad: 2015-04-14 Senast uppdaterad: 2017-12-04Bibliografiskt granskad
Stengel, M., Undén, P., Lindskog, M., Dahlgren, P., Gustafsson, N. & Bennartz, R. (2009). Assimilation of SEVIRI infrared radiances with HIRLAM 4D-Var. Quarterly Journal of the Royal Meteorological Society, 135(645), 2100-2109
Öppna denna publikation i ny flik eller fönster >>Assimilation of SEVIRI infrared radiances with HIRLAM 4D-Var
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2009 (Engelska)Ingår i: Quarterly Journal of the Royal Meteorological Society, ISSN 0035-9009, E-ISSN 1477-870X, Vol. 135, nr 645, s. 2100-2109Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Four-dimensional variational data assimilation (4D-Var) systems are ideally suited to obtain the best possible initial model state by utilizing information about the dynamical evolution of the. atmospheric state from observations, such as satellite measurements, distributed over a certain period of time. In recent years, 4D-Var systems have been developed for several global and limited-area models. At the same time, spatially and temporally highly resolved satellite observations, as for example performed by the Spinning Enhanced Visible and InfraRed Imager (SEVIRI) on board the Meteosat Second Generation satellites, have become available. Here we demonstrate the benefit of a regional NWP model's analyses and forecasts gained by the assimilation of those radiances. The 4D-Var system of the High Resolution Limited Area Model (HIRLAM) has been adjusted to utilize three of SEVIRI's infrared channels (located around 6.2 mu m, 7.3 mu m, and 13.4 mu m, respectively) under clear-sky and low-level cloud conditions. Extended assimilation and forecast experiments show that the main direct impact of assimilated SEVIRI radiances on the atmospheric analysis were additional tropospheric humidity and wind increments. Forecast verification reveals a positive impact for almost all upper-air variables throughout the troposphere. Largest improvements are found for humidity and geopotential height in the middle troposphere. The observations in regions of low-level clouds provide especially beneficial information to the NWP system, which highlights the importance of satellite observations in cloudy areas for further improvements in the accuracy of weather forecasts. Copyright (C) 2009 Royal Meteorological Society

Nyckelord
limited-area NWP model, IR satellite observations, clear-sky conditions, low-level clouds
Nationell ämneskategori
Meteorologi och atmosfärforskning
Forskningsämne
Meteorologi
Identifikatorer
urn:nbn:se:smhi:diva-605 (URN)10.1002/qj.501 (DOI)000273575200013 ()
Tillgänglig från: 2015-04-27 Skapad: 2015-04-21 Senast uppdaterad: 2017-12-04Bibliografiskt granskad
Heygster, G., Melsheimer, C., Mathew, N., Toudal, L., Saldo, R., Andersen, S., . . . Dahlgren, P. (2009). Integrated Observation and Modeling of the Arctic Sea Ice and Atmosphere. Bulletin of The American Meteorological Society - (BAMS), 90(3), 293-297
Öppna denna publikation i ny flik eller fönster >>Integrated Observation and Modeling of the Arctic Sea Ice and Atmosphere
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2009 (Engelska)Ingår i: Bulletin of The American Meteorological Society - (BAMS), ISSN 0003-0007, E-ISSN 1520-0477, Vol. 90, nr 3, s. 293-297Artikel i tidskrift (Refereegranskat) Published
Nationell ämneskategori
Meteorologi och atmosfärforskning
Forskningsämne
Fjärranalys
Identifikatorer
urn:nbn:se:smhi:diva-626 (URN)10.1175/2008BAMS2202.1 (DOI)000265031800001 ()
Tillgänglig från: 2015-04-23 Skapad: 2015-04-21 Senast uppdaterad: 2017-12-04Bibliografiskt granskad
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