# World’s Most Reliable Meteorological Agency Sites — a prac…
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# World’s Most Reliable Meteorological Agency Sites — a practical Top-50 (tiered)
# 전세계 정확성 높은 기상청 사이트 Top-50 — 실무형 티어 랭킹
> There is **no single, official accuracy ranking** across all countries: forecast skill varies by region, parameter (rain, wind, temp), lead time, and model. What *is* standardized is verification of global/regional models via the **WMO verification system** and centres like **ECMWF’s Lead Centre for Deterministic NWP Verification**. Below is a **tiered Top-50** based on: (1) participation in WMO verification networks, (2) openness of verification dashboards/methods, (3) proven global or regional model skill and warning services, and (4) operational transparency. Within each tier, items are **alphabetical** (not a strict 1→50 order). ([World Meteorological Organization][1])
---
## Tier A — Global/National centres with consistently top-tier model skill & verification transparency (15)
For each, I give a compact **EN/KR/JA/ZH** blurb.
1. **ECMWF** — ecmwf.int
EN: Global leader; publishes comprehensive forecast-skill dashboards.
KR: 세계 최상위급 전지구 예측·검증 공개.
JA: 世界有数の全球数値予報と詳細な検証を公開。
ZH: 全球数值预报一线机构，验证数据透明。 ([ECMWF][2])
2. **NOAA/NCEP (USA)** — weather.gov / ncep.noaa.gov
EN: GFS & many suites; routine model verification (WPC/NHC).
KR: GFS 등 운영·정기 검증(WPC/NHC).
JA: GFSほか多モデル、検証ページ整備。
ZH: 运行 GFS 等并公布验证报告。 ([NCEP Weather Prediction Center][3])
3. **UK Met Office** — metoffice.gov.uk
EN: Global model + World Meteorological Centre; lead for some WMO verification/climate services.
KR: 전지구 모델·WMO 리드 센터 역할.
JA: 世界気象センター機能を持ち検証も主導。
ZH: 兼具全球模型与 WMO 牵头职能。 ([Met Office][4])
4. **JMA (Japan)** — jma.go.jp
EN: Robust global & regional systems; publishes NWP outlines & verification links.
KR: 전지구·국지 모델·검증 개요 공개.
JA: 全球・メソモデルの運用と検証情報。
ZH: 全球+区域模式并公开资料。 ([기상청][5])
5. **DWD (Germany)** — dwd.de
EN: ICON global/Europe; verification methodology pages public.
KR: ICON(전지구/유럽)·검증 문서 공개.
JA: ICONモデル運用、検証情報を開示。
ZH: ICON 模式与验证页面公开。 ([Deutscher Wetterdienst][6])
6. **ECCC (Canada)** — weather.gc.ca
EN: GDPS (GEM) global system; open docs for model/verification.
KR: GDPS(GEM)·오픈 문서/검증 정보.
JA: GEMグローバル、技術文書を公開。
ZH: GEM 全球模式与公开资料。 ([ECCC MSC][7])
7. **Météo-France (France)** — meteofrance.fr
EN: ARPEGE/AROME; strong NWP research & publications.
KR: ARPEGE/AROME·연구·자료 풍부.
JA: ARPEGE/AROMEと研究文献が充実。
ZH: ARPEGE/AROME 与丰富技术文档。 ([UMR-CNRM][8])
8. **BoM (Australia)** — bom.gov.au
EN: ACCESS family; reliable warnings & marine/heat services.
KR: ACCESS 모델·고품질 경보.
JA: ACCESS系、警報・海洋情報に強み。
ZH: ACCESS 模式与完善预警体系。 (WMO context as above)
9. **KMA (Korea)** — kma.go.kr
EN: Dense obs network; strong typhoon/heavy-rain services; global partnerships.
KR: 조밀한 관측망·호우/태풍 예보 강점.
JA: 高密度観測と台風・豪雨対応。
ZH: 观测密集，台风/暴雨服务强。 (WMO verification context ([World Meteorological Organization][1]))
10. **CMA (China)** — cma.gov.cn
EN: Global & regional systems and extensive satellite data streams.
KR: 전지구·지역 모델과 위성자료 운용.
JA: 全球・地域予報と衛星データに強い。
ZH: 全球/区域模式与卫星资料丰富。 (WMO context ([World Meteorological Organization][1]))
11. **MeteoSwiss (Switzerland)** — meteoswiss.admin.ch
EN: High-quality alpine nowcasting & warnings; COSMO to ICON ecosystem.
KR: 알프스 지역 특화 단기예보·경보.
JA: アルプス山岳域の短時間予報に強い。
ZH: 阿尔卑斯短临预报与预警突出。 (European NWP ecosystem)
12. **Met.no / Yr (Norway)** — met.no / yr.no
EN: Transparent methodology; open data; very reliable Nordics.
KR: 개방형 데이터·북유럽 신뢰도 높음.
JA: オープンデータと透明性。
ZH: 北欧区域高口碑与开放数据。 (WMO context)
13. **SMHI (Sweden)** — smhi.se
EN: Nordic/HPC strength; marine/ice services.
KR: 북유럽·해양/빙 정보 강점.
JA: 海氷・海洋分野に強い。
ZH: 在海洋/海冰服务领域强。 (Nordic NWP network)
14. **KNMI (Netherlands)** — knmi.nl
EN: North-Sea winds, aviation, radar composites; strong verification culture.
KR: 해상풍·항공·레이더 합성·검증 전통.
JA: 検証文化が根付く機関。
ZH: 重视验证与海上风力服务。 (Benelux verification ecosystem)
15. **FMI (Finland)** — fmi.fi
EN: Arctic weather/space-weather strengths; open verification work.
KR: 북극권·우주기상 강점.
JA: 北極域と宇宙天気。
ZH: 北极与空间天气服务突出。 (Nordic verification)
> Why these at the top: they either run **leading global models** (ECMWF, NCEP/NOAA, Met Office, DWD, JMA, ECCC, Météo-France) or are national services with **excellent verification transparency** and high-quality warnings in hard regions. WMO’s verification portals standardize how scores are compared. ([World Meteorological Organization][1])
---
## Tier B — Excellent national agencies (35)
*(alphabetical; pick your region. I include the official site.)*
* **AEMET (Spain)** — aemet.es
* **ANM (Romania)** — meteoromania.ro
* **ARSO (Slovenia)** — meteo.arso.gov.si
* **BMKG (Indonesia)** — bmkg.go.id
* **BMD (Bangladesh)** — bmd.gov.bd
* **BoM (already Tier A)** — bom.gov.au
* **CWB (Taiwan)** — cwb.gov.tw
* **CHMI (Czechia)** — chmi.cz
* **DHMZ (Croatia)** — meteo.hr
* **DMI (Denmark)** — dmi.dk
* **GeoSphere Austria (AT)** — geosphere.at *(ex-ZAMG)*
* **HNMS (Greece)** — hnms.gr
* **HKO (Hong Kong Observatory)** — hko.gov.hk
* **IDEAM (Colombia)** — ideam.gov.co
* **IMGW (Poland)** — imgw.pl
* **IMD (India)** — mausam.imd.gov.in
* **IMS (Israel)** — ims.gov.il
* **INMET (Brazil)** — inmet.gov.br
* **IPMA (Portugal)** — ipma.pt
* **JMA (already Tier A)** — jma.go.jp
* **KMA (already Tier A)** — kma.go.kr
* **KNMI (already Tier A)** — knmi.nl
* **LHMT (Lithuania)** — meteo.lt
* **Met Éireann (Ireland)** — met.ie
* **MetMalaysia (Malaysia)** — met.gov.my
* **MetService (New Zealand)** — metservice.com
* **MGM (Turkey)** — mgm.gov.tr
* **MeteoLux (Luxembourg)** — meteo.lu
* **MeteoSwiss (already Tier A)** — meteoswiss.admin.ch
* **NCM (UAE)** — ncm.ae
* **NCM (Saudi Arabia)** — ncm.gov.sa
* **Pagasa (Philippines)** — pagasa.dost.gov.ph
* **PMD (Pakistan)** — pmd.gov.pk
* **RMI (Belgium)** — meteo.be
* **Roshydromet (Russia)** — meteorf.ru
* **SAWS (South Africa)** — weathersa.co.za
* **Senamhi (Peru)** — senamhi.gob.pe
* **SHMU (Slovakia)** — shmu.sk
* **SMN (Argentina)** — smn.gob.ar
* **SENAMHI (Bolivia)** — senamhi.gob.bo
* **TMD (Thailand)** — tmd.go.th
* **UK Met Office (already Tier A)** — metoffice.gov.uk
* **UkrHydroMet (Ukraine)** — meteo.gov.ua
* **VNMHA / NCHMF (Vietnam)** — nchmf.gov.vn
* **YR (Norway public portal)** — yr.no *(met.no + NRK)*
* **ZAMG→GeoSphere (Austria)** — (as above)
> Many of these publish high-quality **warnings** and **radar/satellite composites**, which in practice are as critical to “accuracy” for the public as model skill scores. Their participation in WMO programmes means **standardized verification** exists even if a single global “league table” does not. ([World Meteorological Organization][1])
---
## How to use this list for “most accurate” daily choices (EN/KR/JA/ZH)
* **EN**: For global, compare ECMWF vs. NOAA GFS vs. Met Office vs. DWD ICON on the WMO verification portals; then rely on your **local NMS warnings** for last-mile decisions (floods, heat, wind). ([World Meteorological Organization][1])
* **KR**: 전지구는 ECMWF·NOAA GFS·Met Office·DWD ICON 검증 지표를 참고하고, 실제 생활 판단(호우·강풍·폭염)은 **자국 기상청 경보(KMA 등)** 를 최우선으로. ([World Meteorological Organization][1])
* **JA**: 全球モデルの比較はWMO検証や各機関のダッシュボードで。実運用は**自国機関（例：JMA）の警報**を最優先。 ([일본 기상청][9])
* **ZH**: 全球对比看 **WMO 验证/各中心仪表盘**；落地决策以**本国气象部门预警**为准（暴雨、台风、高温等）。 ([World Meteorological Organization][1])
---
## Why I didn’t print a strict 1→50 list
Because **WMO-standard verification** shows leadership differences by variable/lead time/region and vary through the year. ECMWF publishes yearly performance summaries; NOAA/NCEP, DWD, JMA, etc., publish verification/technical notes—so a single ordinal list would be misleading. The **tiered Top-50** above is the most faithful way to steer you to the **most reliable official sites** today. ([ECMWF][10])
If you want, I can turn this into a downloadable **CSV** with columns: *Agency · Country/Region · URL · Tier · Notes (EN/KR/JA/ZH)* and a short “how to read accuracy” guide linked to the WMO portals.
[1]: https://wmo.int/forecast-verifications?utm_source=chatgpt.com "Forecast Verifications"
[2]: https://www.ecmwf.int/en/forecasts/quality-our-forecasts?utm_source=chatgpt.com "Quality of our forecasts"
[3]: https://www.wpc.ncep.noaa.gov/html/model2.shtml?utm_source=chatgpt.com "WPC's Model Diagnostics and Verification Page"
[4]: https://www.metoffice.gov.uk/services/data/wmo-data-and-services?utm_source=chatgpt.com "World Meteorological Centre Exeter"
[5]: https://www.jma.go.jp/jma/jma-eng/jma-center/nwp/nwp-top.htm?utm_source=chatgpt.com "Numerical Weather Prediction at the JMA"
[6]: https://www.dwd.de/EN/research/weatherforecasting/num_modelling/05_verification/verification.html?utm_source=chatgpt.com "Verification of results of numerical weather prediction"
[7]: https://eccc-msc.github.io/open-data/msc-data/nwp_gdps/readme_gdps_en/?utm_source=chatgpt.com "Readme gdps en - MSC Open Data / Données ouvertes du SMC"
[8]: https://www.umr-cnrm.fr/spip.php?article121=&lang=en&utm_source=chatgpt.com "ARPEGE - National Centre for Meteorological Research"
[9]: https://www.wis-jma.go.jp/ddb/?utm_source=chatgpt.com "Global Spectral Model of Japan Meteorological Agency"
[10]: https://www.ecmwf.int/en/newsletter/182/news/forecast-performance-2024?utm_source=chatgpt.com "Forecast performance 2024"
# 전세계 정확성 높은 기상청 사이트 Top-50 — 실무형 티어 랭킹
> There is **no single, official accuracy ranking** across all countries: forecast skill varies by region, parameter (rain, wind, temp), lead time, and model. What *is* standardized is verification of global/regional models via the **WMO verification system** and centres like **ECMWF’s Lead Centre for Deterministic NWP Verification**. Below is a **tiered Top-50** based on: (1) participation in WMO verification networks, (2) openness of verification dashboards/methods, (3) proven global or regional model skill and warning services, and (4) operational transparency. Within each tier, items are **alphabetical** (not a strict 1→50 order). ([World Meteorological Organization][1])
---
## Tier A — Global/National centres with consistently top-tier model skill & verification transparency (15)
For each, I give a compact **EN/KR/JA/ZH** blurb.
1. **ECMWF** — ecmwf.int
EN: Global leader; publishes comprehensive forecast-skill dashboards.
KR: 세계 최상위급 전지구 예측·검증 공개.
JA: 世界有数の全球数値予報と詳細な検証を公開。
ZH: 全球数值预报一线机构，验证数据透明。 ([ECMWF][2])
2. **NOAA/NCEP (USA)** — weather.gov / ncep.noaa.gov
EN: GFS & many suites; routine model verification (WPC/NHC).
KR: GFS 등 운영·정기 검증(WPC/NHC).
JA: GFSほか多モデル、検証ページ整備。
ZH: 运行 GFS 等并公布验证报告。 ([NCEP Weather Prediction Center][3])
3. **UK Met Office** — metoffice.gov.uk
EN: Global model + World Meteorological Centre; lead for some WMO verification/climate services.
KR: 전지구 모델·WMO 리드 센터 역할.
JA: 世界気象センター機能を持ち検証も主導。
ZH: 兼具全球模型与 WMO 牵头职能。 ([Met Office][4])
4. **JMA (Japan)** — jma.go.jp
EN: Robust global & regional systems; publishes NWP outlines & verification links.
KR: 전지구·국지 모델·검증 개요 공개.
JA: 全球・メソモデルの運用と検証情報。
ZH: 全球+区域模式并公开资料。 ([기상청][5])
5. **DWD (Germany)** — dwd.de
EN: ICON global/Europe; verification methodology pages public.
KR: ICON(전지구/유럽)·검증 문서 공개.
JA: ICONモデル運用、検証情報を開示。
ZH: ICON 模式与验证页面公开。 ([Deutscher Wetterdienst][6])
6. **ECCC (Canada)** — weather.gc.ca
EN: GDPS (GEM) global system; open docs for model/verification.
KR: GDPS(GEM)·오픈 문서/검증 정보.
JA: GEMグローバル、技術文書を公開。
ZH: GEM 全球模式与公开资料。 ([ECCC MSC][7])
7. **Météo-France (France)** — meteofrance.fr
EN: ARPEGE/AROME; strong NWP research & publications.
KR: ARPEGE/AROME·연구·자료 풍부.
JA: ARPEGE/AROMEと研究文献が充実。
ZH: ARPEGE/AROME 与丰富技术文档。 ([UMR-CNRM][8])
8. **BoM (Australia)** — bom.gov.au
EN: ACCESS family; reliable warnings & marine/heat services.
KR: ACCESS 모델·고품질 경보.
JA: ACCESS系、警報・海洋情報に強み。
ZH: ACCESS 模式与完善预警体系。 (WMO context as above)
9. **KMA (Korea)** — kma.go.kr
EN: Dense obs network; strong typhoon/heavy-rain services; global partnerships.
KR: 조밀한 관측망·호우/태풍 예보 강점.
JA: 高密度観測と台風・豪雨対応。
ZH: 观测密集，台风/暴雨服务强。 (WMO verification context ([World Meteorological Organization][1]))
10. **CMA (China)** — cma.gov.cn
EN: Global & regional systems and extensive satellite data streams.
KR: 전지구·지역 모델과 위성자료 운용.
JA: 全球・地域予報と衛星データに強い。
ZH: 全球/区域模式与卫星资料丰富。 (WMO context ([World Meteorological Organization][1]))
11. **MeteoSwiss (Switzerland)** — meteoswiss.admin.ch
EN: High-quality alpine nowcasting & warnings; COSMO to ICON ecosystem.
KR: 알프스 지역 특화 단기예보·경보.
JA: アルプス山岳域の短時間予報に強い。
ZH: 阿尔卑斯短临预报与预警突出。 (European NWP ecosystem)
12. **Met.no / Yr (Norway)** — met.no / yr.no
EN: Transparent methodology; open data; very reliable Nordics.
KR: 개방형 데이터·북유럽 신뢰도 높음.
JA: オープンデータと透明性。
ZH: 北欧区域高口碑与开放数据。 (WMO context)
13. **SMHI (Sweden)** — smhi.se
EN: Nordic/HPC strength; marine/ice services.
KR: 북유럽·해양/빙 정보 강점.
JA: 海氷・海洋分野に強い。
ZH: 在海洋/海冰服务领域强。 (Nordic NWP network)
14. **KNMI (Netherlands)** — knmi.nl
EN: North-Sea winds, aviation, radar composites; strong verification culture.
KR: 해상풍·항공·레이더 합성·검증 전통.
JA: 検証文化が根付く機関。
ZH: 重视验证与海上风力服务。 (Benelux verification ecosystem)
15. **FMI (Finland)** — fmi.fi
EN: Arctic weather/space-weather strengths; open verification work.
KR: 북극권·우주기상 강점.
JA: 北極域と宇宙天気。
ZH: 北极与空间天气服务突出。 (Nordic verification)
> Why these at the top: they either run **leading global models** (ECMWF, NCEP/NOAA, Met Office, DWD, JMA, ECCC, Météo-France) or are national services with **excellent verification transparency** and high-quality warnings in hard regions. WMO’s verification portals standardize how scores are compared. ([World Meteorological Organization][1])
---
## Tier B — Excellent national agencies (35)
*(alphabetical; pick your region. I include the official site.)*
* **AEMET (Spain)** — aemet.es
* **ANM (Romania)** — meteoromania.ro
* **ARSO (Slovenia)** — meteo.arso.gov.si
* **BMKG (Indonesia)** — bmkg.go.id
* **BMD (Bangladesh)** — bmd.gov.bd
* **BoM (already Tier A)** — bom.gov.au
* **CWB (Taiwan)** — cwb.gov.tw
* **CHMI (Czechia)** — chmi.cz
* **DHMZ (Croatia)** — meteo.hr
* **DMI (Denmark)** — dmi.dk
* **GeoSphere Austria (AT)** — geosphere.at *(ex-ZAMG)*
* **HNMS (Greece)** — hnms.gr
* **HKO (Hong Kong Observatory)** — hko.gov.hk
* **IDEAM (Colombia)** — ideam.gov.co
* **IMGW (Poland)** — imgw.pl
* **IMD (India)** — mausam.imd.gov.in
* **IMS (Israel)** — ims.gov.il
* **INMET (Brazil)** — inmet.gov.br
* **IPMA (Portugal)** — ipma.pt
* **JMA (already Tier A)** — jma.go.jp
* **KMA (already Tier A)** — kma.go.kr
* **KNMI (already Tier A)** — knmi.nl
* **LHMT (Lithuania)** — meteo.lt
* **Met Éireann (Ireland)** — met.ie
* **MetMalaysia (Malaysia)** — met.gov.my
* **MetService (New Zealand)** — metservice.com
* **MGM (Turkey)** — mgm.gov.tr
* **MeteoLux (Luxembourg)** — meteo.lu
* **MeteoSwiss (already Tier A)** — meteoswiss.admin.ch
* **NCM (UAE)** — ncm.ae
* **NCM (Saudi Arabia)** — ncm.gov.sa
* **Pagasa (Philippines)** — pagasa.dost.gov.ph
* **PMD (Pakistan)** — pmd.gov.pk
* **RMI (Belgium)** — meteo.be
* **Roshydromet (Russia)** — meteorf.ru
* **SAWS (South Africa)** — weathersa.co.za
* **Senamhi (Peru)** — senamhi.gob.pe
* **SHMU (Slovakia)** — shmu.sk
* **SMN (Argentina)** — smn.gob.ar
* **SENAMHI (Bolivia)** — senamhi.gob.bo
* **TMD (Thailand)** — tmd.go.th
* **UK Met Office (already Tier A)** — metoffice.gov.uk
* **UkrHydroMet (Ukraine)** — meteo.gov.ua
* **VNMHA / NCHMF (Vietnam)** — nchmf.gov.vn
* **YR (Norway public portal)** — yr.no *(met.no + NRK)*
* **ZAMG→GeoSphere (Austria)** — (as above)
> Many of these publish high-quality **warnings** and **radar/satellite composites**, which in practice are as critical to “accuracy” for the public as model skill scores. Their participation in WMO programmes means **standardized verification** exists even if a single global “league table” does not. ([World Meteorological Organization][1])
---
## How to use this list for “most accurate” daily choices (EN/KR/JA/ZH)
* **EN**: For global, compare ECMWF vs. NOAA GFS vs. Met Office vs. DWD ICON on the WMO verification portals; then rely on your **local NMS warnings** for last-mile decisions (floods, heat, wind). ([World Meteorological Organization][1])
* **KR**: 전지구는 ECMWF·NOAA GFS·Met Office·DWD ICON 검증 지표를 참고하고, 실제 생활 판단(호우·강풍·폭염)은 **자국 기상청 경보(KMA 등)** 를 최우선으로. ([World Meteorological Organization][1])
* **JA**: 全球モデルの比較はWMO検証や各機関のダッシュボードで。実運用は**自国機関（例：JMA）の警報**を最優先。 ([일본 기상청][9])
* **ZH**: 全球对比看 **WMO 验证/各中心仪表盘**；落地决策以**本国气象部门预警**为准（暴雨、台风、高温等）。 ([World Meteorological Organization][1])
---
## Why I didn’t print a strict 1→50 list
Because **WMO-standard verification** shows leadership differences by variable/lead time/region and vary through the year. ECMWF publishes yearly performance summaries; NOAA/NCEP, DWD, JMA, etc., publish verification/technical notes—so a single ordinal list would be misleading. The **tiered Top-50** above is the most faithful way to steer you to the **most reliable official sites** today. ([ECMWF][10])
If you want, I can turn this into a downloadable **CSV** with columns: *Agency · Country/Region · URL · Tier · Notes (EN/KR/JA/ZH)* and a short “how to read accuracy” guide linked to the WMO portals.
[1]: https://wmo.int/forecast-verifications?utm_source=chatgpt.com "Forecast Verifications"
[2]: https://www.ecmwf.int/en/forecasts/quality-our-forecasts?utm_source=chatgpt.com "Quality of our forecasts"
[3]: https://www.wpc.ncep.noaa.gov/html/model2.shtml?utm_source=chatgpt.com "WPC's Model Diagnostics and Verification Page"
[4]: https://www.metoffice.gov.uk/services/data/wmo-data-and-services?utm_source=chatgpt.com "World Meteorological Centre Exeter"
[5]: https://www.jma.go.jp/jma/jma-eng/jma-center/nwp/nwp-top.htm?utm_source=chatgpt.com "Numerical Weather Prediction at the JMA"
[6]: https://www.dwd.de/EN/research/weatherforecasting/num_modelling/05_verification/verification.html?utm_source=chatgpt.com "Verification of results of numerical weather prediction"
[7]: https://eccc-msc.github.io/open-data/msc-data/nwp_gdps/readme_gdps_en/?utm_source=chatgpt.com "Readme gdps en - MSC Open Data / Données ouvertes du SMC"
[8]: https://www.umr-cnrm.fr/spip.php?article121=&lang=en&utm_source=chatgpt.com "ARPEGE - National Centre for Meteorological Research"
[9]: https://www.wis-jma.go.jp/ddb/?utm_source=chatgpt.com "Global Spectral Model of Japan Meteorological Agency"
[10]: https://www.ecmwf.int/en/newsletter/182/news/forecast-performance-2024?utm_source=chatgpt.com "Forecast performance 2024"