Obs | China weather observations | 中国天气网

數據下載 (方法) 僅供學術研究及教學用途

中国天气网

中国天气网（www.weather.com.cn）是公益性气象服务门户网站，是中国气象局公众气象服务权威品牌“中国天气”的重要载体和组成部分，由中国气象局公共气象服务中心主办、华风气象传媒集团负责运营，于2008年7月正式上线运行。

city list

  • 3240 in total
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{
  "101010100": {
    "n": "北京",
    "x": "116.407526",
    "y": "39.904030"
  },
  "101010200": {
    "n": "海淀",
    "x": "116.298346",
    "y": "39.957809"
  },
...
}
  • convert this json to csv by online tool.
  • rename
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areaid,cityname,lon,lat
101010100,北京,116.407526,39.904030
101010200,海淀,116.298346,39.957809
101010300,朝阳,116.443229,39.921368
101010400,顺义,116.654561,40.130347
101010500,怀柔,116.633717,40.319141
101010600,通州,116.655702,39.910234
101010700,昌平,116.231204,40.220660
101010800,延庆,115.974848,40.456951
101010900,丰台,116.285986,39.85668
......

get your IP

  • check or get your IP address
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curl 'https://wgeo.weather.com.cn/ip/?_=1754014328834' \
  -H 'Accept: */*' \
  -H 'Accept-Language: en-US,en;q=0.9,zh-HK;q=0.8,zh;q=0.7,zh-CN;q=0.6' \
  -H 'Connection: keep-alive' \
  -b 'f_city=%E5%8C%97%E4%BA%AC%7C101010100%7C%2C%E4%B8%8A%E6%B5%B7%7C101020100%7C%2C%E5%B9%BF%E5%B7%9E%7C101280101%7C; Hm_lvt_080dabacb001ad3dc8b9b9049b36d43b=1754012142; HMACCOUNT=F49474D9B2D9D090; Hm_lpvt_080dabacb001ad3dc8b9b9049b36d43b=1754014285' \
  -H 'Referer: https://www.weather.com.cn/' \
  -H 'Sec-Fetch-Dest: script' \
  -H 'Sec-Fetch-Mode: no-cors' \
  -H 'Sec-Fetch-Site: same-site' \
  -H 'User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36' \
  -H 'sec-ch-ua: "Not)A;Brand";v="8", "Chromium";v="138", "Google Chrome";v="138"' \
  -H 'sec-ch-ua-mobile: ?0' \
  -H 'sec-ch-ua-platform: "Linux"'
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var ip="xxx.xxx.xxx.xxx";var id="101320xxxx";var addr="香港,香港,香港";

get data (5 mins interval/实时天气)

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curl 'https://d1.weather.com.cn/sk_2d/101010100.html?_=1754014328691' \
  -H 'Accept: */*' \
  -H 'Accept-Language: en-US,en;q=0.9,zh-HK;q=0.8,zh;q=0.7,zh-CN;q=0.6' \
  -H 'Connection: keep-alive' \
  -b 'f_city=%E5%8C%97%E4%BA%AC%7C101010100%7C%2C%E4%B8%8A%E6%B5%B7%7C101020100%7C%2C%E5%B9%BF%E5%B7%9E%7C101280101%7C; Hm_lvt_080dabacb001ad3dc8b9b9049b36d43b=1754012142; HMACCOUNT=F49474D9B2D9D090; Hm_lpvt_080dabacb001ad3dc8b9b9049b36d43b=1754014285' \
  -H 'Referer: https://www.weather.com.cn/' \
  -H 'Sec-Fetch-Dest: script' \
  -H 'Sec-Fetch-Mode: no-cors' \
  -H 'Sec-Fetch-Site: same-site' \
  -H 'User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36' \
  -H 'sec-ch-ua: "Not)A;Brand";v="8", "Chromium";v="138", "Google Chrome";v="138"' \
  -H 'sec-ch-ua-mobile: ?0' \
  -H 'sec-ch-ua-platform: "Linux"'
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var dataSK={"nameen":"beijing","cityname":"北京","city":"101010100","temp":"31.9","tempf":"89.4","WD":"南风","wde":"S","WS":"2级","wse":"9km\/h","SD":"58%","sd":"58%","qy":"997","njd":"19km","time":"16:30","rain":"0","rain24h":"0","aqi":"77","aqi_pm25":"77","weather":"多云","weathere":"Cloudy","weathercode":"d01","limitnumber":"4和9","date":"08月01日(星期五)"}

convert json to csv

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 $ cat convert_json2csv.py 
#!/bin/python
# -*- coding: utf-8 -*-
#------------------------------------------------#
# Author:         wpsze
# Email:          wpsze@gmail.com
# File:           convert_json2csv.py
# Date:           2025-08-01 11:16:07
# Version:        0.0 
# Description:    The purpose of the script
# Copyright (C):  2025 All rights reserved
#------------------------------------------------#

import json
import csv
import argparse
from datetime import datetime

def convert_to_csv(data_str):
    # Extract the JSON part from the string
    json_data = json.loads(data_str.split('=', 1)[1])

    # Generate the CSV file name based on the current date and time
    #csv_file = datetime.now().strftime('%Y-%m-%d_%H-%M-%S') + '.csv'
    #csv_file = datetime.now().strftime('%Y-%m-%d_%H') + '.csv'
    csv_file = datetime.now().strftime('%Y-%m-%d') + '.csv'

    # Writing to CSV
    with open(csv_file, mode='w', newline='', encoding='utf-8') as file:
        writer = csv.DictWriter(file, fieldnames=json_data.keys())
        writer.writeheader()  # Write the header
        writer.writerow(json_data)  # Write the data

    print(f'Data has been written to {csv_file}')

if __name__ == "__main__":
    # Set up argument parsing
    parser = argparse.ArgumentParser(description='Convert data string to CSV format.')
    parser.add_argument('data_str', type=str, help='Input data string')

    args = parser.parse_args()
    convert_to_csv(args.data_str)
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#!/bin/bash

#------------------------------------------------#
# Author:         wpsze
# Email:          wpsze@gmail.com
# File:           run.sh
# Date:           2025-08-01 11:19:08
# Version:        0.0 
# Description:    The purpose of the script
# Copyright (C):  2025 All rights reserved
#------------------------------------------------#

#set -e # stop the shell on first error
#set -u # fail when using an undefined variable
#set -x # echo script lines as they are executed
set -o pipefail

source /home/wpsze/micromamba/etc/profile.d/micromamba.sh
micromamba activate venv
export SCRIPT_DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"

tmp_ym_dir=$(date +'%Y-%m')
tmp_ymd_dir=$(date +'%Y-%m-%d')
mkdir -p ${tmp_ym_dir}/${tmp_ymd_dir}/
cd ${tmp_ym_dir}/${tmp_ymd_dir}/

# Define the CSV file with city IDs
input_file="${SCRIPT_DIR}/test_city_ids.csv"
echo "input city id file = ${input_file}. "

# Read the CSV file and skip the header
tail -n +2 "$input_file" | while IFS=',' read -r city_id; do
  # Call the Python script to crawl data for each city ID
  echo "Crawling data for city ID: $city_id"

  tmp_var=$(curl 'https://d1.weather.com.cn/sk_2d/'${city_id}'.html' \
    -H 'Accept: */*' \
    -H 'Accept-Language: en-US,en;q=0.9,zh-HK;q=0.8,zh;q=0.7,zh-CN;q=0.6' \
    -H 'Connection: keep-alive' \
    -b 'f_city=%E5%8C%97%E4%BA%AC%7C101010100%7C%2C%E4%B8%8A%E6%B5%B7%7C101020100%7C%2C%E5%B9%BF%E5%B7%9E%7C101280101%7C; Hm_lvt_080dabacb001ad3dc8b9b9049b36d43b=1754012142; HMACCOUNT=F49474D9B2D9D090; Hm_lpvt_080dabacb001ad3dc8b9b9049b36d43b=1754014285' \
    -H 'Referer: https://www.weather.com.cn/' \
    -H 'Sec-Fetch-Dest: script' \
    -H 'Sec-Fetch-Mode: no-cors' \
    -H 'Sec-Fetch-Site: same-site' \
    -H 'User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36' \
    -H 'sec-ch-ua: "Not)A;Brand";v="8", "Chromium";v="138", "Google Chrome";v="138"' \
    -H 'sec-ch-ua-mobile: ?0' \
    -H 'sec-ch-ua-platform: "Linux"')

  python ${SCRIPT_DIR}/convert_json2csv.py "${tmp_var}"  # Modify this line as needed
done

# You can also use awk to remove duplicates without sorting:
awk '!seen[$0]++' ${tmp_ymd_dir}.csv > tmp_output.csv
rm ${tmp_ymd_dir}.csv
mv tmp_output.csv ${tmp_ymd_dir}.csv

# Point 1,
# If you want to pass the variable without using backslashes for escaping quotes, 
# you can use single quotes around the entire string in your shell command.
# Define the variable with single quotes around the whole string:
#tmp_dataSK='var dataSK={"nameen":"yinchuan","cityname":"银川","city":"101170101","temp":"24.3","tempf":"75.7","WD":"北风","wde":"N","WS":"2级","wse":"5km\/h","SD":"78%","sd":"78%","qy":"881","njd":"6km","time":"10:55","rain":"0","rain24h":"0","aqi":"36","aqi_pm25":"36","weather":"多云","weathere":"Cloudy","weathercode":"d01","limitnumber":"","date":"08月01日(星期五)"}'

# Point 2,
# The "double quotes" around $tmp_dataSK when calling the Python script 
# ensure that the entire content of the variable is treated as a single argument.
#python convert_json2csv.py "${tmp_dataSK}"
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nameen,cityname,city,temp,tempf,WD,wde,WS,wse,SD,sd,qy,njd,time,rain,rain24h,aqi,aqi_pm25,weather,weathere,weathercode,limitnumber,date
beijing,北京,101010100,32,89.6,南风,S,2级,7km/h,58%,58%,997,20km,16:40,0,0,77,77,多云,Cloudy,d01,4和9,08月01日(星期五)
haidian,海淀,101010200,32.6,90.7,西南风,SW,2级,7km/h,54%,54%,996,24km,16:45,0,0,85,85,多云,Cloudy,d01,4和9,08月01日(星期五)
chaoyang,朝阳,101010300,32,89.6,南风,S,2级,9km/h,56%,56%,997,18km,16:45,0,0,85,85,多云,Cloudy,d01,4和9,08月01日(星期五)

get data (逐小时天气)

天气预报-变量名

WeatherCode

WeatherCode Weather
00 晴
01 多云
02 阴
03 阵雨
04 雷阵雨
05 雷阵雨伴有冰雹
06 雨夹雪
07 小雨
08 中雨
09 大雨
10 暴雨
11 大暴雨
12 特大暴雨
13 阵雪
14 小雪
15 中雪
16 大雪
17 暴雪
18 雾
19 冻雨
20 沙尘暴
21 小雨-中雨
22 中雨-大雨
23 大雨-暴雨
24 暴雨-大暴雨
25 大暴雨-特大暴雨
26 小雪-中雪
27 中雪-大雪
28 大雪-暴雪
29 浮尘
30 扬沙
31 强沙尘暴
32 霾

Error: "ASCII text, with CRLF line terminators,"

If your CSV file is identified as "ASCII text, with CRLF line terminators," it means it uses Windows-style line endings (\r\n). To convert it to Unix-style line endings (\n), you can use various tools available in Linux. Here are a few methods:

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 $ file city_ids.csv 
city_ids.csv: ASCII text, with CRLF line terminators

Method 1: Using sed

You can also use sed to remove the carriage return characters:

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sed 's/\r$//' input.csv > output.csv

Method 2: Using awk

You can also use awk:

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awk '{ sub("\r$", ""); print }' input.csv > output.csv

Block IP?

NWP
#MPAS #NWP #WRF #HKO #GBA #obs #China
Obs | China weather observations | 中国天气网
https://waipangsze.github.io/2025/08/01/Obs-China-weather-observations/
Author
wpsze
Posted on
August 1, 2025
Updated on
January 27, 2026
Licensed under