活躍南支槽槽前的輻合區正向東移,與其相關的雨區正影響珠江口以西以及香港以南水域,未來數小時有機會影響本港,預料部分地區雨勢頗大。讀者請留意天氣變化。
🐳21⚡1😱1

Channel
@metwarn
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
24,217subscribers
-182 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001394006413 |
|---|---|
| Type | Channel |
| Username | @metwarn |
| Description | 捉得緊現在,先可以預報未來。 MET WARN 天氣預警頻道提供最新天氣消息,請善用Forward功能轉發信息。 免責聲明: 1. 此頻道的天氣資訊均為非官方資訊,如欲獲得官方資訊,請到香港天文台網頁。 2. MET WARN 天氣預警 不會對使用本頻道資料而導致的任何損失而負責。 網頁: www.metwarn.hk |
| Created | 31 May 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 13 November 2026 |
| On Telegram | t.me/metwarn |
Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 67% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Nov 2026, 09:57 | 24,217 | -4 |
| 10 Nov 2026, 20:46 | 24,221 | -3 |
| 9 Nov 2026, 07:55 | 24,224 | -4 |
| 7 Nov 2026, 22:07 | 24,228 | -2 |
| 6 Nov 2026, 21:49 | 24,230 | -3 |
| 5 Nov 2026, 20:38 | 24,233 | -5 |
| 4 Nov 2026, 23:16 | 24,238 | -2 |
| 3 Nov 2026, 23:28 | 24,240 | -4 |
| 3 Nov 2026, 02:10 | 24,244 | -3 |
| 2 Nov 2026, 04:20 | 24,247 | +1 |
| 1 Nov 2026, 02:19 | 24,246 | -4 |
| 31 Oct 2026, 05:06 | 24,250 | -2 |
| 30 Oct 2026, 03:14 | 24,252 | -8 |
| 28 Oct 2026, 02:10 | 24,260 | +3 |
| 27 Oct 2026, 02:39 | 24,257 | -3 |
| 26 Oct 2026, 05:26 | 24,260 | +2 |
| 25 Oct 2026, 05:10 | 24,258 | +1 |
| 23 Oct 2026, 01:50 | 24,257 | -7 |
| 22 Oct 2026, 01:26 | 24,264 | -7 |
| 20 Oct 2026, 17:48 | 24,271 | first reading |
157 posts held, back to 31 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 133 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 13 November 2026 |
|---|---|
| Posts held | 157 (31 July 2026 – 13 November 2026) |
| Views total | 166,630 |
| Reactions total | 1,590 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 17:44 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 3 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
9,677 reactions across 156 posts, in 54 distinct kinds. The most used accounts for 16.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🐳 | 1,581 | 16.3% | |
| 🔥 | 1,436 | 14.8% | |
| ❤ | 858 | 8.87% | |
| 🤡 | 828 | 8.56% | |
| 👍 | 809 | 8.36% | |
| 🫡 | 685 | 7.08% | |
| 🥱 | 388 | 4.01% | |
| 💩 | 359 | 3.71% | |
| 👏 | 228 | 2.36% | |
| 🕊 | 215 | 2.22% | |
| 😱 | 213 | 2.20% | |
| 🤣 | 205 | 2.12% | |
| 🙏 | 160 | 1.65% | |
| 🤯 | 151 | 1.56% | |
| 👎 | 144 | 1.49% | |
| 😴 | 140 | 1.45% | |
| ☃ | 134 | 1.38% | |
| 😢 | 134 | 1.38% | |
| 🎉 | 98 | 1.01% | |
| 🖕 | 84 | 0.868% | |
| 34 further kinds | 827 | 8.55% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 157 of the 157 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 9,718 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 157 most recent posts we hold, published 31 July 2026 to 13 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram’s own ‘edited’ marker: 5 of 27 posts held from the last 30 days (18.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
活躍南支槽槽前的輻合區正向東移,與其相關的雨區正影響珠江口以西以及香港以南水域,未來數小時有機會影響本港,預料部分地區雨勢頗大。讀者請留意天氣變化。
🐳21⚡1😱1
預料本港週五、六有大驟雨、強陣風和雷暴風險。到底11月落大雨有幾罕見? 深秋時分,廣東沿岸一般受乾燥的東北季候風主導,甚少出現暴雨。但在2006年11月21日下午,強雷雨帶不斷由西向東橫過本港,黃色暴雨警告信號生效近5小時,至今仍保持年內最遲黃雨紀錄。究竟這場「深秋暴雨」是如何煉成的? 翻查當日大氣環境,可發現三個有利暴雨形成的條件。第一,近地面氣流出現顯著輻合,偏東氣流與較弱的偏北風在珠江口匯聚抬升。第二,大氣中低空吹較暖濕的西南風,一方面為暴雨提供「原材料」,另一方面「上冷下暖」格局令大氣更不穩定,促使氣流進一步向上升。第三,一道短波槽橫過華南,槽前盛行的上升氣流猶如「抽吸機」,將氣流往上吸。 週五、六的大氣配置,集齊廿年前黃雨當日的三大特點,但仍略有不同之處,最大分別是今次地面氣溫稍高,大氣「上冷下暖」的對比可能更明顯。另外值得留意的是,當年黃雨在晚間取消後,凌晨仍有強雨區持續影響珠江口,反映降雨不一定只集中在氣溫較…
🐳23🫡12❤8🎉3👍2👎2😁2💩1
經歷稍涼的天氣後,本港未來數日天氣溫暖,週五、六需提防大驟雨及雷暴的風險。 電腦模式預料,東北季候風明日起會逐漸緩和。在缺乏冷空氣補充下,本港未來數日天氣顯著回暖,最高氣溫約26至28度。 此外,本港週五稍後至週六初時存在大驟雨及雷暴風險。電腦模式預料,一道活躍南支槽屆時將橫過華南,槽前盛行的上升氣流有利雨區發展。同時,近地面氣流亦較可能出現輻合,或誘發雨區形成。至於雨區位置、強度、影響範圍及時段,則視乎地面氣流輻合位置、強度,以及南支槽的移動速度,因此目前仍存變數。 讀者應留意天氣變化,週五、六出門前應帶備雨具。
🤯38🔥11💩9❤5🫡5🎉2🥴2🥰1
今早本港天氣清涼,市區最低氣溫約為16至17度。天文台錄得最低17.5度,為入秋以來的最低紀錄。 高地天氣寒冷,大帽山最低只有6.9度,達嚴寒水平。 預料明日天氣仍然稍涼,新界再低兩三度,日夜溫差較大。
☃52👏10🆒4❤3🫡3🥰1
一道冷鋒已橫過廣東沿岸,受相關的強烈東北季候風影響,本港北風增強,離岸吹強風,部分高地達烈風程度。 海面風浪較大,進行水上活動的讀者應留意大浪造成的風險。 隨著冷空氣繼續向南擴展,預料本港氣溫會降至今晚約19度,明早更會降至約16度。
❤43☃16👍8🫡3
現時位於華南內陸的冷鋒會在明日初時橫過廣東沿岸,本港北風增強,市區氣溫由明早約22度顯著降至週二早上約16度。 電腦模式下調未來兩三日的預測氣溫,是因為西風槽的南探幅度較先前預測較深。冷空氣強度較早前預期高,較可能翻越南嶺,從「中路」南下影響本港。 天文台預料,週一、二離岸吹強風,高地達烈風。在「風寒效應」影響下,離岸、高地及空曠地區的體感溫度或較實際低。 天氣明顯轉涼,讀者應按需要增添衣物保暖。隨著冷空氣緩和,星期四起氣溫顯著回升。
❤36☃23🫡3🆒2😢1
天文台昨日(11月6日)錄得最低氣溫為26.4度,成為有記錄以來十一月份的最高紀錄。 值得一提的是,11月5日的日最低氣溫26.1度,以及11月1日、2日及3日的日最低氣溫25.9度,分別為有記錄以來十一月份的第二及第三高。可見進入十一月後本港天氣仍然異常偏暖。
🔥52😱16❤5🎉3👍2🫡2😢2🤮1
預料下週初本港氣溫會顯著下降,下週二市區氣溫或跌至19度,天色大致良好及乾燥。 一股東風潮會在明日下午率先抵達廣東沿岸,屆時本港的風勢會逐漸增強,週末期間本港會受偏東強風影響,離岸、高地以及空曠地方會更為當風,已安排戶外及水上活動的讀者應留意強風可能造成的危險。 較顯著的降溫則會在下週一開始。隨著內陸的冷空氣進一步向南擴展,屆時本港會轉受北風潮影響,氣溫顯著下降,預計下週二三市區的最低氣溫或跌至20度或以下,新界會再低兩三度。 天氣變化較明顯,讀者可按需要增添防風外套或準備長袖衣物。
🎉41☃33❤7😁5🫡3😢1😭1
極地渦旋最近成為社交媒體熱門話題,甚至有人謠傳冬天超乎尋常。到底所謂極地渦旋,對本港以至北半球天氣有何影響? 近日廣傳的極地渦旋異常,實指即將發生的平流層暴發增溫,即是極地離約一萬米的高空,數日內氣溫急劇上升數十度的現象。至於真正的極地渦旋,其實就像家中冰箱的門一樣,是把冷空氣困在極地的金剛圈。 平流層暴發增溫前夕,極地渦旋會有所減弱,甚至出現風向逆轉。這現象平均一兩年發生一次,但這次特別之處,在於發生時間可能是有紀錄以來最早。一般而言,隨著北半球踏入深秋,極地渦旋會有所增強,步入冬季後才有機會突然煞車,導致平流層暴發增溫。這次卻反其道而行,未加速先煞車,冬季前已出現平流層暴發增溫。 至於平流層暴發增溫對地面天氣的影響,一般要觀察數週,但其實亦有不少變數。原因之一是發生位置在離地面約一萬米的高空,影響如何往下擴散亦須視乎其他因素,甚至有時平流層暴發增溫後,地面天氣未有明顯變化。其次,即使地面冷空氣脫離極地渦旋這個金剛圈,其…
👍37❤10🫡10
截至下午3時40分,上水錄得最高氣溫34.6度,打破設立自動氣象站以來香港境內11月最高氣溫紀錄。 市區方面,九龍城亦錄得33.0度,為設置自動氣象站後市區首次在11月錄得酷熱水平氣溫。而天文台總部錄得31.1度,是自1884年以來11月第二高紀錄。
🔥70❤6🫡2
剛過去的十月是香港自1884年有紀錄以來最熱的十月。天文台錄得的平均最高氣溫30.5度、平均氣溫27.6度,以及平均最低氣溫25.8度,均創下有紀錄以來十月份的最高紀錄。其中,平均最高氣溫更較氣候平均值高出2.4度。 今年十月西風帶的主要活動範圍較常年偏北,而且波動幅度較小,令冷空氣較難沿西風帶南下,亦未能有效推進至華南沿岸地區。同時,十月東北季候風的強度亦較弱,未能為華南沿岸帶來明顯降溫。在超強厄爾尼諾現象的影響下,大氣環流出現上述特徵的機會亦相對較高。 另一方面,副熱帶高壓勢力偏強,加上十月期間華南一帶未有受到熱帶氣旋影響,整體天氣較為穩定,進一步有利氣溫維持在較高水平。 預料11月上半月大部份時間仍然會顯著偏暖,相信要待高緯度大氣形勢有所調整,西風帶「鬆綁」令冷空氣南下,才有機會出現較明顯的降溫。
🔥52🤮7❤3👍2🫡2
踏入11月,本港仍然異常炎熱。流浮山今日(1日)下午錄得33.6度,為11月本港境內錄得第五高的氣溫。此外,元朗公園及上水氣溫亦超過33度,達酷熱水平。 現時影響廣東沿岸的東北季候風較正常弱,冷空氣未能滲透至華南一帶。另外,副熱帶高壓脊正覆蓋南海北部,所帶來的晴朗天氣有利日間升溫。 天文台預料,明日氣溫仍高達30度。氣溫概率預報顯示,本港臨近11月中旬才可能出現較明顯降溫,其餘時間氣溫顯著高於氣候平均值。
🔥63🫡3👍2❤1😢1
Showing the 12 most recent of 157 posts we hold for @metwarn. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
@metwarn edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 16 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 12 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 November 2026 — this entry's latest reading, not the date you are reading this.
“MET WARN 天氣預警” (@metwarn), 24,217 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/metwarn.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.