Large Oil Painting, Black & White Winter Landscape on Canvas, H. Gamlen, 1980

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Large vintage black & white winter landscape oil painting on canvas by h. Gamlen – 1980s – framed & signed

… Read more Large vintage black & white winter landscape oil painting on canvas by h. Gamlen – 1980s – framed & signed

this large and atmospheric black and white winter landscape oil painting, signed by h. Gamlen and dating from the 1980s, is a striking and evocative work that brings a sense of calm, depth, and quiet drama to any interior. It is in superb condition.

the composition centres on a tranquil river winding through a snow-covered woodland, leading the eye towards a softly misted mountain in the distance. Bare winter trees frame the scene beautifully, their frost-laden branches rendered with delicate detail. Nestled discreetly among the trees is a small woodland cabin, adding warmth and narrative to the otherwise untouched landscape.

the restrained monochrome palette enhances the mood of the painting, allowing light, texture, and contrast to take precedence. It is easy to imagine sitting inside that secluded cabin on a cold winter’s day, the glow of a log fire inside while the frozen stillness outside remains undisturbed. The painting has a timeless, contemplative quality that invites the viewer to pause and escape.

presented in a substantial mahogany frame with an elegant speckled gold inner border, the artwork has a strong and confident presence. The frame complements the painting perfectly, adding warmth and refinement without overpowering the composition.

this is a commanding piece, ideal as a focal point above a fireplace, in a living room, study, or country home interior. It will appeal to collectors, interior designers, and those who appreciate expressive landscape art with atmosphere and narrative.

measurements:
overall including frame: 103cm l x 72cm h x 3cm d
actual canvas: 90cm l x 60cm h this piece has an attribution mark,
i am sure that it is completely authentic and take full responsibility for any authenticity
issues arising from misattribution See less