Domestic 15 day 24-hour forecast data

The elements include weather phenomenon, temperature, wind force and wind direction. The update time is 8, 12 and 18, and the forecast duration is 15 days. Daily medium and long term multi factor forecast is applicable to industries that are heavily affected by meteorological factors and need about one to two weeks to prepare in advance, such as large reservoirs, which need to decide whether to vacate the storage capacity in advance according to the amount of future precipitation; In agriculture, we can determine which field management should be implemented in the future according to the forecast. For example, if the pollination period is rainy, rain prevention or artificial pollination should be carried out in advance to avoid yield reduction; For long-distance logistics, materials can be allocated according to local weather. Data source: jointly release the self-developed data with the public meteorological service center.

consultation: 010-68408994

Site:: National county-level cities（ three thousand two hundred and forty Station)

Daily visits:: Less than 10000 times 10000-50000 times 50000 to 100000 times 100000 to 200000 times 200000 to 500000 times 500000 to 1000000 times 1-2 million times 2-4 million times

Duration:: 1 month 2 months 3 months 4 months 5 months 6 months 7 months 8 months 9 months 10 months 1 year 2 years 3 years

Service provider

Beijing Tianyi Technology Co., Ltd

Contact customer service: 010-68408994

Online time: 8:30 - 17:00

Email: weatherdt@weather.com.cn

Recommended data

instructions Detailed introduction Error reference code

name

Domestic 15 day 24-hour forecast data

Interface example

http://api.weatherdt.com/common/?area=101010100&type=forecast&key= Order Key

Station number list download

http://www.weatherdt.com/userManager/download.html?fileName=station.zip

Download the number corresponding table

http://www.weatherdt.com/userManager/download.html?fileName=codecn.zip

Request mode

get/post

parameter

name	type	Required	Sample value	describe
area	String	yes	one hundred and one million ten thousand and one hundred	City station No
type	String	yes	forecast	Data type identification
key	String	yes	fd034bf8fe70289698ec4ea79876feree	Order Key

data format

                     {'forecast': { '24h': { '101010100': { '1001001': [{ '006': '0',//Night wind code '008': '5',//Evening wind direction code '001': '01',//daytime weather phenomenon code '005': '1',//daytime wind code '004': '2',//Night temperature '003': '16',//daytime temperature '007': '7',//daytime wind direction code '002': '01'//Weather phenomenon code at night }], '000': '201903311100' } } } }

Detailed introduction

The elements include weather phenomenon, temperature, wind force and wind direction. The update time is 8, 12 and 18, and the forecast duration is 15 days. Daily medium and long term multi factor forecast is applicable to industries that are heavily affected by meteorological factors and need about one to two weeks to prepare in advance, such as large reservoirs, which need to decide whether to vacate the storage capacity in advance according to the amount of future precipitation; In agriculture, we can determine which field management should be implemented in the future according to the forecast. For example, if the pollination period is rainy, rain prevention or artificial pollination should be carried out in advance to avoid yield reduction; For long-distance logistics, materials can be allocated according to local weather. Data source: jointly release the self-developed data with the public meteorological service center.

Error code	interpretation
CC1001	The interface needs to be paid, please recharge
CC1002	No corresponding data information exists
CC1101	Error in appKey query
CC1102	The appKey key is missing
CC1004	Access times exceeded
CC1000	Exception in calling the service provider interface, please contact the administrator