Difference between revisions of "ColorfulClouds Weather API"
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− | == | + | == Try out by yourself == |
− | |||
− | |||
− | == Data coverage == | + | <code>S45Fnpxcwyq0QT4b</code> is a demo token,in production and development, you should use your own token after signing up at '''[https://dashboard.caiyunapp.com/user/sign_up/ the dahsboard]''' |
+ | |||
+ | * [[General weather interface/v2.5|General weather interface]] | ||
+ | ** New York: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/-74.0060,40.7128/weather.json?lang=en_US&unit=imperial</code> | ||
+ | |||
+ | The quota of the demo token is very limited and is renewed periodically, so please only use it for testing. If you meet any problem to access the above link, please contact us at [mailto:api@caiyunapp.com api@caiyunapp.com] | ||
+ | |||
+ | == Contact us == | ||
+ | |||
+ | Email: [mailto:api@caiyunapp.com api@caiyunapp.com] | ||
+ | |||
+ | == Business Scenarios == | ||
+ | |||
+ | ColorfulClouds Weather API is carefully designed for different scenarios. | ||
+ | |||
+ | === Weather apps === | ||
+ | |||
+ | [[File:SmartphoneApp.jpg|235px|right|thumb|Weather apps]] | ||
+ | |||
+ | '''The hyperlocal feature''': | ||
+ | |||
+ | * Union Square, San Francisco in next 2 hr: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/-122.4075,37.7879/weather.json?lang=en_US&granu=minutely</code> | ||
+ | |||
+ | '''Global availability''': | ||
+ | |||
+ | * Kathmandu: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/85.3240,27.7172/weather.json?lang=en_US&unit=imperial</code> | ||
+ | * Frankfurt: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/8.6821,50.1109/weather.json?lang=en_US&unit=imperial</code> | ||
+ | * New York: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/-74.0059,40.7128/weather.json?lang=en_US&unit=imperial</code> | ||
+ | * Hawaii: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/-157.8583,21.3069/weather.json?lang=en_US&unit=imperial</code> | ||
+ | * Sydney: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/151.2093,-33.8688/weather.json?lang=en_US&unit=imperial</code> | ||
+ | * Cape Town: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/18.4241,-33.9249/weather.json?lang=en_US&unit=imperial</code> | ||
+ | |||
+ | [[File:Autumn Drone.jpg|235px|right|thumb|Drone controlling]] | ||
+ | |||
+ | '''Supported languages''': | ||
+ | |||
+ | * Tokyo: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/139.7690,35.6804/weather.json?lang=ja</code> | ||
+ | * Beijing: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/116.4074,39.9042/weather.json?lang=zh_CN</code> | ||
+ | |||
+ | '''Different unit systems''': | ||
+ | |||
+ | * Paris: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/2.3522,48.8566/weather.json?lang=en_US&unit=metric</code> | ||
+ | * Sydney: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/151.2093,-33.8688/weather.json?lang=en_US&unit=imperial</code> | ||
+ | |||
+ | '''Sun rise and set time''': | ||
+ | |||
+ | * London: <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/0.1278,51.5074/weather.json?lang=en_US&granu=daily&fields=astro</code> | ||
+ | |||
+ | === System control & IoT scenarios === | ||
+ | |||
+ | In system control scenarios, it is very convenient to set the unit system to SI for calculation, and in many case you only need real-time data, so you can call the API in such a way | ||
+ | |||
+ | * <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/-157.8583,21.3069/weather.json?lang=en_US&unit=SI&granu=realtime</code> | ||
+ | |||
+ | === Planning scenarios === | ||
+ | |||
+ | * Short term: 24 hour hourly forecast | ||
+ | ** <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/-74.0060,40.7128/weather.json?lang=en_US&unit=imperial&granu=hourly&hourlysteps=24</code> | ||
+ | * Long term: 10 days daily forecast | ||
+ | ** <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/139.7690,35.6804/weather.json?lang=ja&granu=daily&dailysteps=10</code> | ||
+ | |||
+ | === Web applications === | ||
+ | |||
+ | To integrate with a third party data, you need the '''jsonp''' support | ||
+ | * with jsonp callback <code>check_weather</code> | ||
+ | ** <code>https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/-157.8583,21.3069/weather.jsonp?lang=en_US&callback=check_weather</code> | ||
+ | |||
+ | |||
+ | == A global service == | ||
+ | |||
+ | [[File:2020.3 彩云天气高精度数据覆盖范围.png|thumb|Global coverage of minutely forecast]] | ||
+ | |||
+ | === Internationalization === | ||
+ | |||
+ | * the datetime calculation will impact the avg/max/min values of weather variables, our i18n features fully support this. | ||
+ | * the unit of measurement is fully support i18n requirement, we support [https://en.wikipedia.org/wiki/Metric_system Metric system], [https://en.wikipedia.org/wiki/Imperial_and_US_customary_measurement_systems Imperial and US customary units] and [https://en.wikipedia.org/wiki/International_System_of_Units International System of Units] | ||
+ | * the user-friendly nature language description of current weather conditions is support i18n, but we only provide Chinese, English and Japanese support. | ||
+ | |||
+ | === Data coverage of general weather forecast === | ||
− | |||
* Since the just begining of our weather API offering, we provide global hourly and daily weather forecast at any point on earth with '''arbitrary latitude and longitude'''. | * Since the just begining of our weather API offering, we provide global hourly and daily weather forecast at any point on earth with '''arbitrary latitude and longitude'''. | ||
− | === | + | === Data coverage of minute-by-minute nowcasting service === |
− | + | ||
+ | We are among the few providers can give global-wide nowcasting service, we can provide service in [[{{FULLPAGENAME}}#Appendix 1: table of countries that nowcasting is supported|below areas]]. | ||
+ | |||
+ | The quality of our nowcasting services is related with the quality of service of the radar data providers, it may vary from country to country; but as a service provider since 2014, we are a provened player in this area. | ||
+ | |||
+ | === Data coverage of air quality forecast === | ||
+ | |||
+ | Full scope of China. | ||
+ | |||
+ | == API Features == | ||
+ | |||
+ | === Full-scoped variables === | ||
+ | |||
+ | You can check a detailed table of [[{{FULLPAGENAME}}#Appendix 2: table of available variables|the supported variables]]. | ||
+ | |||
+ | === The nowcasting service === | ||
+ | |||
+ | We provide two kind of nowcasting service: | ||
+ | |||
+ | * pointwise API calls specified by latitude and longitude | ||
+ | * forecasted weather radar images and forecasted data matrix | ||
+ | |||
+ | == The AI technology behind == | ||
+ | |||
+ | Since the founding at 2014, we always dedicated in improving the algorithms for years, there are many works behind the services. | ||
+ | |||
+ | {| style="margin-left: auto; margin-right: auto; border: none;" | ||
+ | |- style="vertical-align: top" | ||
+ | | [[File:Caiyun Intro.009.jpeg|thumb|the 1st generation denoise algorithm]] | ||
+ | | [[File:Caiyun Intro.011.jpeg|thumb|the 3rd generation of precipitation forecast algorithm]] | ||
+ | | [[File:Caiyun Intro.013.jpeg|thumb|the comparison of 1st and 2nd generation air quality forecast]] | ||
+ | |} | ||
+ | |||
+ | == The reliable and stable backend == | ||
+ | |||
+ | * Scalability: the public service pool can offer 300M ~ 800M API calls per day and can be scaled up easily on demanding | ||
+ | * Availability: the availability of the public service pool for the past year is at 99.94% | ||
+ | |||
+ | {| style="margin-left: auto; margin-right: auto; border: none;" | ||
+ | |- style="vertical-align: top" | ||
+ | | [[File:Caiyun Intro.015.jpeg|thumb|the capacity and availability monitoring platform]] | ||
+ | | [[File:Caiyun Intro.016.jpeg|thumb|the technical architecture behind]] | ||
+ | |} | ||
+ | |||
+ | We can offer private service pool with better availability for large-demanding clients | ||
+ | |||
+ | == The team behind == | ||
+ | |||
+ | {| style="margin-left: auto; margin-right: auto; border: none;" | ||
+ | |- style="vertical-align: top" | ||
+ | | [[File:Caiyun Intro.008.jpeg|thumb|the team members after the annual party]] | ||
+ | | [[File:彩云小史.011.jpeg|thumb|the office and working environment]] | ||
+ | |} | ||
+ | |||
+ | |||
+ | == Appendix 1: table of countries that nowcasting is supported == | ||
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{| class="wikitable" | {| class="wikitable" | ||
!Continent | !Continent | ||
− | ! | + | !Country/region |
|- | |- | ||
|Europe | |Europe | ||
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|} | |} | ||
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− | + | == Appendix 2: table of available weather variables == | |
− | + | {{:Table of available weather variables}} | |
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− | + | [[zh-cn:彩云天气 API]] |
Latest revision as of 02:50, 9 April 2020
Contents
Try out by yourself
S45Fnpxcwyq0QT4b
is a demo token,in production and development, you should use your own token after signing up at the dahsboard
The quota of the demo token is very limited and is renewed periodically, so please only use it for testing. If you meet any problem to access the above link, please contact us at api@caiyunapp.com
Contact us
Email: api@caiyunapp.com
Business Scenarios
ColorfulClouds Weather API is carefully designed for different scenarios.
Weather apps
The hyperlocal feature:
- Union Square, San Francisco in next 2 hr:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/-122.4075,37.7879/weather.json?lang=en_US&granu=minutely
Global availability:
- Kathmandu:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/85.3240,27.7172/weather.json?lang=en_US&unit=imperial
- Frankfurt:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/8.6821,50.1109/weather.json?lang=en_US&unit=imperial
- New York:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/-74.0059,40.7128/weather.json?lang=en_US&unit=imperial
- Hawaii:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/-157.8583,21.3069/weather.json?lang=en_US&unit=imperial
- Sydney:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/151.2093,-33.8688/weather.json?lang=en_US&unit=imperial
- Cape Town:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/18.4241,-33.9249/weather.json?lang=en_US&unit=imperial
Supported languages:
- Tokyo:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/139.7690,35.6804/weather.json?lang=ja
- Beijing:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/116.4074,39.9042/weather.json?lang=zh_CN
Different unit systems:
- Paris:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/2.3522,48.8566/weather.json?lang=en_US&unit=metric
- Sydney:
https://api.caiyunapp.com/v2.5/S45Fnpxcwyq0QT4b/151.2093,-33.8688/weather.json?lang=en_US&unit=imperial
Sun rise and set time:
System control & IoT scenarios
In system control scenarios, it is very convenient to set the unit system to SI for calculation, and in many case you only need real-time data, so you can call the API in such a way
Planning scenarios
- Short term: 24 hour hourly forecast
- Long term: 10 days daily forecast
Web applications
To integrate with a third party data, you need the jsonp support
- with jsonp callback
check_weather
A global service
Internationalization
- the datetime calculation will impact the avg/max/min values of weather variables, our i18n features fully support this.
- the unit of measurement is fully support i18n requirement, we support Metric system, Imperial and US customary units and International System of Units
- the user-friendly nature language description of current weather conditions is support i18n, but we only provide Chinese, English and Japanese support.
Data coverage of general weather forecast
- Since the just begining of our weather API offering, we provide global hourly and daily weather forecast at any point on earth with arbitrary latitude and longitude.
Data coverage of minute-by-minute nowcasting service
We are among the few providers can give global-wide nowcasting service, we can provide service in below areas.
The quality of our nowcasting services is related with the quality of service of the radar data providers, it may vary from country to country; but as a service provider since 2014, we are a provened player in this area.
Data coverage of air quality forecast
Full scope of China.
API Features
Full-scoped variables
You can check a detailed table of the supported variables.
The nowcasting service
We provide two kind of nowcasting service:
- pointwise API calls specified by latitude and longitude
- forecasted weather radar images and forecasted data matrix
The AI technology behind
Since the founding at 2014, we always dedicated in improving the algorithms for years, there are many works behind the services.
The reliable and stable backend
- Scalability: the public service pool can offer 300M ~ 800M API calls per day and can be scaled up easily on demanding
- Availability: the availability of the public service pool for the past year is at 99.94%
We can offer private service pool with better availability for large-demanding clients
The team behind
Appendix 1: table of countries that nowcasting is supported
Continent | Country/region |
---|---|
Europe | Italy, Lithuania, Malta, France, Slovakia, Norway, Belarus, Iceland, Czech Republic, Slovenia, Germany, Spain, Ukraine, Denmark, Poland, Finland, Sweden, Croatia, Russia, Romania, Portugal, Estonia, Serbia, United Kingdom, Austria, Greece, Hungary |
Oceania | Fiji, Guam, Australia, Marshall Islands, New Caledonia, Australia |
Asia | Mainland China, Hong Kong, Macao and Taiwan, Diaoyu Islands, Spratly Islands, Turkey, Bahrain, Saudi Arabia, Indonesia, Iran, Singapore, Oman, Philippines, Japan, India, Cambodia, Cyprus, Malaysia, Vietnam, Kuwait, Thailand, South Korea, North Korea |
North America | Canada, Bahamas, Cayman Islands, Mexico, Panama, Martinique, Cuba, United States, Bermuda, Puerto Rico, Kura, Guadeloupe, Nicaragua |
South America | Brazil, French Guiana, Colombia, Guyana, Paraguay, Argentina |
Appendix 2: table of available weather variables
Name | Code | Quality | Unit of measurement | Temporal granularity | Geospatial scope | Comments |
---|---|---|---|---|---|---|
Temperature | temperature | temperature | °C, °F, K | realtime, hourly, daily | globally | temperature 2m above |
Pressure | pressure | pressure | Pa | realtime, hourly, daily | globally | pressure on surface |
Relative humidity | humidity | relative humidity | % | realtime, hourly, daily | globally | relative humidity 2m above |
Wind direction | wind direction | wind direction | degree | realtime, hourly, daily | globally | wind direction 10m above |
Wind speed | wind speed | wind speed | km/h, mph, m/h | realtime, hourly, daily | globally | wind speed 10m above |
Cloud rate | cloudrate | total cloud rate | 0~1 | realtime, hourly, daily | globally | total cloud rate |
Shortwave radiation | dswrf | downward shortwave radiation | W/m^2 | realtime, hourly, daily | globally | downward shortwave radiation on surface |
Visibility | visibility | visibility by distance | km, mile, m | realtime, hourly, daily | globally | horizontal visibility by distance on surface |
Nearest distance to precipitation area | Nearest distance to precipitation area | distance | km, mile, m | realtime | radar supported area | nearest distance to precipitation area |
Intensity of nearest precipitation | intensity of nearest precipitation | precipitation intensity | 0~1 | realtime | radar supported area | intensity of nearest precipitation |
Intensity of local precipitation | Intensity of local precipitation | precipitation intensity | 0~1 | realtime, minutely | radar supported area | intensity of local precipitation |
sky condition | skycon | weather condition | text | realtime, hourly, daily | globally | weather condition |
comfort index | comfort index | comfort index | text | realtime, hourly, daily | globally | weather comfort condition |
ultraviolet index | ultraviolet index | ultraviolet index | text | realtime, hourly, daily | globally | ultraviolet condition |
PM25 | pm25 | PM25 | μg/m^3 | realtime, hourly, daily | air-quality forecast supported area | PM25 mass concentration |
PM10 | pm10 | PM10 | μg/m^3 | realtime | air-quality forecast supported area | PM10 mass concentration |
O3 | o3 | O3 | μg/m^3 | realtime | air-quality forecast supported area | O3 mass concentration |
NO2 | no2 | No2 | μg/m^3 | realtime | air-quality forecast supported area | NO2 mass concentration |
SO2 | so2 | SO2 | μg/m^3 | realtime | air-quality forecast supported area | SO2 mass concentration |
CO | co | CO | mg/m^3 | realtime | air-quality forecast supported area | CO mass concentration |
AQI | aqi | AQI by US and China standard | 0~500 | realtime, hourly, daily | air-quality forecast supported area | AQI by US and China standard |