Linpus Weather is the best weather application for planning your leisure time, outdoor social life or any kind of trip whether personal or business. Linpus Weather does this in several ways: weather is not ideal where you live, it automatically lists out weather for places around and nearby you; planning outdoor activity, you can get lifestyle information for nearby you so you know if it is good day for mountain biking, boating, the beach or bad for hayfever; and, if you are planning any kind of trip, set up another page for that trip and also get all the nearby weather and lifestyle info for that location too.
Full List of key features below With Linpus Weather, you will get:
- Localization for Taiwan (in particular Taipei, New Taipei, Hsinchu, Miaoli, Taichung, Chiayi and Tainan city).
- Localization for China (in particular Beijing, Shanghai, Shenzhen, Tianjin, Chongqing, Hunan, Henan, Zhejiang, Jiangsu & Yunnan).
- Localization for Hong Kong & Macao.
- Support more than 3500+ location searches via Chinese / English keyword
- 4 days forecast support
- 15 lifestyle indices
- Able to get the weather for an additional 6 nearby places.
- Metric & imperial unit support.
- Supports Android 2.2 or higher including Android 4.1 (Jelly Beans).
- Lunar calendar support
- Week number support
- Y2013 W/W holidays according to user area for W/W holidays according to user area for America (US, Canada, Brazil), Asia (China, Taiwan, Hong Kong, Macao, Malaysia, Singapore,Saudi Arabia, Korea, Thailand, Japan) and Europe (England, Ireland, Scotland, Wales, France, Germany, Italy, Portugal, Spain, Netherlands, Poland, Denmark, Finland, Norway, Sweden, Czech Republic, Hungary, Romania, Russia, Ukraine, Greece).
Please feedback your problem with us via Email ([email protected]
), any is welcome:)
1) Fixed one crash issue
2) Added splash screen Advertisement
1) Added functionality to search a city directly from the AccuWeather database. Added a search icon in the search tab which allows the user to search any city from the Accuweather database (online).
2) Improve the local database search speed.