RAMS数据处理程序—垂直剖面分析程序

该程序的主要特点：

• 使用Cartopy创建地图投影
• 添加海岸线、国界线等地理要素
• 绘制等值线图显示气象要素分布
• 自动设置颜色标尺和标题
• 支持不同层次的数据展示

import matplotlib.pyplot as plt

def plot_vertical_cross_section(data, start_lat, start_lon, 
                              end_lat, end_lon):
    """绘制垂直剖面图"""
    
    # 计算剖面线上的点
    num_points = 100
    lats = np.linspace(start_lat, end_lat, num_points)
    lons = np.linspace(start_lon, end_lon, num_points)
    
    # 插值到剖面线上
    from scipy.interpolate import griddata
    
    # 创建网格点
    grid_lats, grid_z = np.meshgrid(lats, data['elevation'])
    
    # 对温度进行插值
    temp_cross = np.zeros((data['temperature'].shape[0], len(lats)))
    for z in range(data['temperature'].shape[0]):
        points = np.array([data['latitude'].flatten(), 
                          data['longitude'].flatten()]).T
        temp_cross[z, :] = griddata(
            points,
            data['temperature'][z].flatten(),
            (lats, lons),
            method='linear'
        )
    
    # 绘图
    fig, ax = plt.subplots(figsize=(12, 6))
    
    levels = np.linspace(np.min(temp_cross), np.max(temp_cross), 15)
    cs = ax.contourf(lats, range(data['temperature'].shape[0]), 
                     temp_cross, levels=levels, cmap='RdBu_r')
    
    plt.colorbar(cs, ax=ax, label='Temperature (K)')
    
    ax.set_xlabel('Latitude')
    ax.set_ylabel('Model Level')
    ax.set_title('Temperature Vertical Cross Section')
    
    plt.show()

# 使用示例
plot_vertical_cross_section(data, 30.0, 120.0, 35.0, 125.0)