Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Three-dimensional variational data assimilation for a limited area model Part II: Observation handling and assimilation experiments
SMHI, Forskningsavdelningen, Meteorologi.ORCID-id: 0000-0003-4870-5459
SMHI, Forskningsavdelningen, Meteorologi.ORCID-id: 0000-0001-8376-2729
Vise andre og tillknytning
2001 (engelsk)Inngår i: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 53, nr 4, s. 447-468Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A 3-dimensional variational data assimilation (3D-Var) scheme for the HIgh Resolution Limited Area Model (HIRLAM) forecasting system is described. The HIRLAM 3D-Var is based on the minimisation of a cost function that consists of one term, J(b), which measures the distance between the resulting analysis and a background field, in general a short-range forecast, and another term. J(o), which measures the distance between the analysis and the observations. This paper is concerned with J(o) and the handling of observations, while the companion Paper by Gustafsson et al. (2001) is concerned with the general 3D-Var formulation and with the J(b) term. Individual system components. such as the screening of observations and the observation operators, and other issues, such as the parallelisation strategy for the computer code, are described. The functionality of the observation quality control is investigated and the 3D-Var system is validated through data assimilation and forecast experiments. Results from assimilation and forecast experiments indicate that the 3D-Var assimilation system performs significantly better than two currently used HIRLAM systems. which are based on statistical interpolation. The use of all significant level data from multilevel observation reports is shown to be one factor contributing to the superiority of the 3D-Var system. Other contributing factors are most probably the formulation of the analysis as a single global problem, the use of non-separable structure functions and the variational quality control, which accounts for non-Gaussian observation errors.

sted, utgiver, år, opplag, sider
2001. Vol. 53, nr 4, s. 447-468
HSV kategori
Forskningsprogram
Meteorologi
Identifikatorer
URN: urn:nbn:se:smhi:diva-1475DOI: 10.1111/j.1600-0870.2001.00447.xISI: 000170143400002OAI: oai:DiVA.org:smhi-1475DiVA, id: diva2:849326
Tilgjengelig fra: 2015-08-28 Laget: 2015-08-17 Sist oppdatert: 2017-12-04bibliografisk kontrollert

Open Access i DiVA

fulltext(2283 kB)147 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 2283 kBChecksum SHA-512
dfe1a834b80c60f104263f45aee214c2fcd8b2df2fbca92160d9571de9a57056f77d1c77518904cf609419166c9def365d34445fd2de8604c44c3ef690703a97
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekst

Personposter BETA

Lindskog, MagnusGustafsson, NilsAndrae, Ulf

Søk i DiVA

Av forfatter/redaktør
Lindskog, MagnusGustafsson, NilsAndrae, Ulf
Av organisasjonen
I samme tidsskrift
Tellus. Series A, Dynamic meteorology and oceanography

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 147 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 70 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.8
|