Dry River 'The Twelve Spies' 2017

2017 Dry River 'The Twelve Spies' is a complex and elegant red blend from Martinborough, New Zealand, a region renowned for producing some of the country's finest cool-climate wines. Dry River, established in 1979, is known for its meticulous approach to viticulture and winemaking, crafting limited-production wines that showcase purity, structure, and longevity. The Twelve Spies is a unique blend of Syrah, Pinot Noir, and Tempranillo, offering a layered and expressive interpretation of Martinborough’s diverse terroir.

The 2017 vintage experienced a cooler growing season, allowing for a long ripening period that preserved natural acidity and developed refined tannins. Fermented with wild yeasts and aged in French oak barrels, this wine balances fruit intensity with savory depth and spice.

Appearance: Deep ruby with a garnet hue, indicating both vibrancy and early signs of evolution.

Aroma: The nose is rich and layered, with dark cherry, blackberry, and plum at the forefront, complemented by hints of violets and dried herbs. Earthy undertones of leather, black olive, and crushed spice add complexity, while subtle oak influence brings notes of cedar and cacao.

Taste: Medium to full-bodied, the palate unfolds with layers of red and black fruit, including raspberry, blackcurrant, and mulberry. Silky tannins provide structure, while savory elements of black pepper, dried thyme, and smoked meat add depth. The wine’s bright acidity ensures balance, while the oak imparts subtle warmth and spice without overpowering the fruit.

Finish: Long and refined, with lingering notes of dark fruit, spice, and a touch of mineral-driven freshness, leaving a polished and elegant impression.

Food Pairing: 2017 Dry River 'The Twelve Spies' pairs beautifully with herb-crusted lamb rack, where its fruit and spice notes complement the dish’s richness. It also pairs well with wild mushroom risotto, enhancing the earthy Flavors while maintaining freshness and balance. Decanting for 30–45 minutes is recommended to fully express its complexity.