大吉岭 11月 天气

Darjeeling's forum and local guides both rate November for one specific reason: the clearest skies of the year for Kanchenjunga, visible from town on a good morning. It's also when the autumn tea harvest wraps up, so garden visits are still worthwhile even after the main picking season ends.

Darjeeling-forum threads on a February visit describe this as genuinely deep off-season, posters naming nights below freezing and days in the low single digits as standard this time of year. Regulars call strong early-morning wind a real recurring complaint, several posters naming this as a factor that makes the cold feel worse than the temperature alone suggests. Posters call Sandakphu nearby the real place where snow actually gathers, several regulars naming mid-December through February as that window, while snow in Darjeeling town itself stays genuinely rare. Regulars call clear February skies a real upside, several threads naming good Kanchenjunga views as the payoff for visiting during the cold, quiet stretch. Posters recommend real serious cold-weather layers for a February trip, several regulars calling this standard given how sharp the wind chill gets. The record: 11.3C days, 3.1C nights, an extraordinarily high 168.7mm across nearly 23 days and 80 percent humidity.

Darjeeling-forum threads on April weather call this genuinely mid-season locally, posters describing the strongest windows as April through June and then September through December. Regulars call conditions mostly tourist-friendly this month, pleasant to slightly cool with a real but limited chance of showers. Posters call hotel occupancy generally manageable in April, though booking ahead with family in tow is still recommended for peace of mind. Regulars call the toy train, tea gardens and Tiger Hill sunrise viewpoint all real April highlights, mountain visibility considered better here than during the hazier pre-monsoon months elsewhere in the country. Posters recommend real layers for the morning and evening chill despite comfortable daytime warmth, hill station elevation here making a genuine difference. The record: 17.6C days feeling like 17C, 8.7C nights, an extraordinarily high 377.1mm across over 28 days and 83 percent humidity.

Darjeeling-forum threads on March weather describe a genuinely pleasant, crisp stretch, daytime temperatures comfortable for walking and clear enough on a good morning for real Kanchenjunga views from Tiger Hill, though posters are consistent nights and early mornings stay cold enough that proper woolens are non-negotiable, especially for the pre-dawn viewpoint crowd. Scattered showers are called common enough that a waterproof layer is standing advice even under a promising morning sky. Regulars are candid that visibility is the real variable - a clear March day here delivers some of the best mountain views of the year, while a cloudy stretch can hide the peaks entirely for several days running. The town itself stays comfortably walkable throughout, tea gardens especially scenic this time of year. The record: 14.7C days feeling like 14C, 5.7C nights, a notably high 315mm across nearly 29 days, 78 percent humidity and 10 hours of sun.

Darjeeling-forum threads on August weather are direct that this sits at the peak of the monsoon, rain expected daily and posters calling it genuinely not a great month to visit given how much it disrupts outdoor plans. Fog typically accompanies the rain, obscuring the famous Kanchenjunga and Tiger Hill sunrise views that draw most visitors in the first place. The terrain adds a real safety factor - these are landslide-prone hills, and road blockages are a genuine possibility during the heaviest stretches. Regulars recommend pushing a trip to mid-or-late September instead, once monsoon intensity has eased. That said, some posters find a certain charm in the wet, quiet hill-station atmosphere. The record: 19.8C days feeling like 22C, 15.2C nights, an extraordinarily high 691mm across nearly 31 days, 92 percent humidity and just 6.3 hours of sun - among the wettest entries anywhere on this dataset.