风场图 - cedarkit-notebook指南

本节介绍如何使用 cedarkit-plots 绘制 850 hPa 风场图。

首先导入需要使用的包。包括：

数据结构：numpy, pandas
可视化：matplotlib
cedarkit 工具套件
- 数据准备：reki
  - 数据查找函数： find_local_file
  - GRIB2文件要素加载函数：load_field_from_file
- 气象可视化：cedarkit.plots
  - 绘图板：Panel
  - 底图布局：EastAsiaMapDomain
  - 绘图样式：BarbStyle

import pandas as pd

from reki.data_finder import find_local_file
from reki.format.grib.eccodes import load_field_from_file

from cedarkit.plots.style import BarbStyle
from cedarkit.plots.chart import Panel
from cedarkit.plots.domains import EastAsiaMapTemplate

/home/wangdp/project/cedarkit/notebook-project/notebook-devel/repo/cedarkit-notebook-project/cedarkit-notebook/.venv/lib/python3.14/site-packages/gribapi/__init__.py:23: UserWarning: ecCodes 2.42.0 or higher is recommended. You are running version 2.34.1
  warnings.warn(

# 数据环境配置：使用本地数据目录（可用环境变量 CEDARKIT_NOTEBOOK_DATA_ROOT 覆盖）
from cedarkit_notebook.data import get_data_root, get_dataset_query

DATA_CLASS = "cmadaas"
STORAGE_BASE = str(get_data_root())

设置绘图的数据参数，使用 CMA-GFS 最近可获取的时次 024 时效数据。

system_name = "CMA-GFS"
data_type = "cma_gfs_gmf/grib2/orig"
# 起报时次与预报时效固定为本地已下载数据（见 data/metadata/cma-gfs.yaml）
query = get_dataset_query("cma-gfs")
start_time = pd.to_datetime(query["start_time"], format="%Y%m%d%H")
forecast_time = pd.to_timedelta(query["forecast_time"])

加载数据¶

获取 GRIB2 数据路径

file_path = find_local_file(
    data_type,
    start_time=start_time,
    forecast_time=forecast_time,
    data_class=DATA_CLASS,
    storage_base=STORAGE_BASE
)
file_path

PosixPath('/home/wangdp/project/cedarkit/notebook-project/notebook-devel/repo/cedarkit-notebook-project/cedarkit-notebook/data/DATA/NAFP/NMC/GRAPES-GFS-GLB/2026/20260725/Z_NAFP_C_BABJ_20260725000000_P_NWPC-GRAPES-GFS-GLB-02400.grib2')

加载 850 hPa 风场。风场在 ecCodes 的内置要素名为 u 和 v

u_850_field = load_field_from_file(
    file_path,
    parameter="u",
    level_type="pl",
    level=850
)
v_850_field = load_field_from_file(
    file_path,
    parameter="v",
    level_type="pl",
    level=850
)
v_850_field

配置¶

定义风场图样式 (BarbStyle)

wind_barb_style = BarbStyle(
    barbcolor="red",
    flagcolor="red",
    linewidth=0.3,
)

绘制¶

创建中国区域底图布局

domain = EastAsiaMapTemplate()

绘图风场图，设置标题。

注：这里将风场稀疏化后再绘图，并只在主区域（第 1 层）绘图，即 layer=[0]

panel = Panel(domain=domain)
panel.plot([[u_850_field[::14, ::14], v_850_field[::14, ::14]]], style=wind_barb_style, layer=[0])

domain.set_title(
    panel=panel,
    graph_name="850 hPa WIND (m/s) windbarb",
    system_name=system_name,
    start_time=start_time,
    forecast_time=forecast_time,
)
panel.show()