python 利用探空数据识别整层云

选用蔡淼的论文：[1]蔡淼,欧建军,周毓荃,等.L波段探空判别云区方法的研究[J].大气科学,2014,38(02):213-222.

里面的阈值法：

#!/usr/bin/python3
# -*- coding: utf-8 -*-
"""
@Time : 2025/1/20 23:22
@Author : Suyue
@Email : 1493117872@qq.com
@File : cloud_area.py
@Project : untitled4
"""
import pandas as pd


df = pd.read_csv('D:/探空数据计算/tankong-2020-50527_with_final_times_lat_lon_cleaned_data.csv')
df = pd.DataFrame(df)

# 根据条件筛选数据
mask = (
    ((df['GPH'] >= 0) & (df['GPH'] < 1000) & (df['RHU'] == 91)) |
    ((df['GPH'] >= 1000) & (df['GPH'] < 2000) & (df['RHU'] > 84) & (df['RHU'] <= 90)) |
    ((df['GPH'] >= 2000) & (df['GPH'] < 7562) & (df['RHU'] > 78) & (df['RHU'] <= 84)) |
    ((df['GPH'] >= 7562) & (df['GPH'] <= 10000) & (df['RHU'] >= 68) & (df['RHU'] <= 78)) |
    ((df['GPH'] > 10) & (df['RHU'] == 68))
)

# 保留满足条件的行
filtered_df = df[mask]

# 将结果保存回CSV文件
filtered_df.to_csv('D:/探空数据计算/tankong-2020-50527_with_final_times_lat_lon_cleaned_data_filtered_data.csv', index=False)

# 打印结果以确认（可选）
# print(filtered_df)