Ragnhild Hemsing
- World Music
The Norwegian violinist Ragnhild Hemsing has always incorporated old Norwegian traditions into her previous programmes. This is mainly due to the fact that she not only plays the modern violin, but also the traditional Hardanger fiddle. Ragnhild Hemsing is therefore not only an interpreter and representative of Norwegian musical tradition, but also preserves it and brings it into the modern age. In keeping with the winter season, she delves deep into the musical tradition of her home region of Valdres with her programme »Vetra«. Winter is the central theme in all the works. The word »Vetra« comes from the dialect spoken in Valdres and means winter. She has also gathered outstanding musicians around her, all of whom are also very familiar with Norwegian musical history.
PERFORMERS
Ragnhild Hemsing violin, Hardanger fiddle
Arve Henriksen trumpet
Steinar Raknes double bass
Terje Isungset percussion
PROGRAM
»VETRA – My Norwegian Winter«
Traditionelles Volkslied aus Valdres
Nu rinder solen op af Østerlide (Jetzt geht die Sonne über Østerlide auf)
Traditionelles »Springar« aus Valdres
Fanteladda
Traditionelle Melodie aus Valdres
Jeg vet et evigt Himmelrig (Ich kenne ein ewiges Himmelreich)
Traditionelle Melodie aus Valdres
Det ottande Bud paa Sinai – Eg kan så mangen ein vakker sang (Das achte Gebot am Sinai – Ich kenne so viele schöne Lieder)
Ragnhild Hemsing
Vinterstemning (Winter-Stimmung)
Ragnhild Hemsing
Bånsull
Traditionelle Melodie aus Valdres
Andris E. Vang
Traditionelles Volkslied aus Valdres
Ringjetøsja
Traditionelle Melodie aus Valdres
Se solens skjønne lys og prakt (Sieh das schöne Licht und die Pracht der Sonne)
Ragnhild Hemsing
Vetrahalling (Winter Halling)
Traditionelle Melodie aus Valdres
Et barn er født i Betlehem (In Bethlehem wird ein Kind geboren)
Traditionelles »Halling« aus Valdres
Fossegrimen
Traditionelles Volkslied aus Valdres
Kome nord! (Komm nach Norden!)
Traditionelles Volkslied aus Valdres
Mitt hjerte alltid vanker (Stets wandert mein Herz)
No liability is assumed for the correctness of the data.