-고 (written): The Plain Listing Connector Grown Up

You already met -고 as beginner “and.” This supplementary slot is not a new Hangul string. It is the same ending, watched in the place intermediate Korean actually lives: clean written lists.

Curriculum gloss: the plain written connector. 우리말샘 -고 「032」 is the equal listing sense — two or more facts laid out side by side. Weather units love it because forecasts are lists: clear, cold, windy — not a chain of causes.

What it does — and why it is “extra”

Beginner -고 taught the ending. Intermediate writing reveals the habit: when you describe a place, a forecast, or a paired observation, Korean often coordinates with -고 instead of inventing a reason every time.

하늘이 맑고 바람도 선선해요.
비가 오고 기온도 떨어져요.
교통이 편하고 마트도 가까워요.
가격은 낮고 위치는 좋아요.

Speech can do the same. Writing leans on it harder because paragraphs need parallel structure without the emotional push of “so / because.”

Forms (reminder, not re-invention)

아침에는 안개가 끼고 오후에는 갤 거래요.
습도가 높고 불쾌지수가 올라가요.

Keep auxiliary -고 있다 / -고 싶다 off this page’s target. Those are different dictionary senses and different lessons.

Near neighbours

비가 와서 경기가 취소됐어요.     cause
비가 오고 바람이 불었어요.       listed weather facts

If you feel tempted to write …고 그래서… every time, ask whether you actually need cause. Reports often do not.

Dictionary also lists sequential and contrastive -고. Intermediate practice still starts with 대등 나열 — equal ranking — because that is what overwrites the beginner habit of treating every link as drama.

When to use — and when to choose something else

Use -고 when facts are peers: two weather traits, two neighbourhood perks, two results that are not arguing.

Prefer something else when:

• you mean because — -아서 / -어서 or a reason ending;
• you mean after finishing X, then Y with a tight hinge — -고서;
• the second clause is a command or suggestion tied to a reason — not this connector’s job.

Practice rule: if deleting “and” would still leave two independent weather-report bullets, -고 is doing the right work. If deleting it destroys the why, you wanted a causal tool all along.