GFS要素清单:1-5#

import numpy as np
import pandas as pd
import xarray as xr

from reki.format.grib.eccodes import load_field_from_file
/home/wangdp/project/cedarkit/notebook-project/notebook-devel/ref/data-notebook-project/data-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(
from data_notebook.data import get_data_file

gfs_grib2_orig_file_path = get_data_file("cma-gfs")
gfs_grib2_orig_file_path
PosixPath('/home/wangdp/project/cedarkit/notebook-project/notebook-devel/ref/data-notebook-project/data-notebook/data/cma-gfs/grib2/orig/Z_NAFP_C_BABJ_20260725000000_P_NWPC-GRAPES-GFS-GLB-02400.grib2')

ACPCP/NCPCP/APCP/ASNOW#

对流降水#

要素名

wgrib2

eccodes

cemc

GRIB key

层次类型

层次

编号

对流降水

ACPCP

acpcp

rainc

(0, 1, 10)

-

-

1

field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="ACPCP",
    lazy=True
)
assert field.attrs["GRIB_count"] == 1
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="acpcp",
    lazy=True
)
assert field.attrs["GRIB_count"] == 1
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="rainc",
    lazy=True
)
assert field.attrs["GRIB_count"] == 1
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter={
        "discipline": 0,
        "parameterCategory": 1,
        "parameterNumber": 10,
    },
    lazy=True
)
assert field.attrs["GRIB_count"] == 1

大尺度降水#

要素名

wgrib2

eccodes

cemc

GRIB Key

层次类型

层次

编号

大尺度降水

NCPCP

ncpcp

rainnc

(0, 1, 9)

-

-

2

field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="NCPCP",
    lazy=True
)
assert field.attrs["GRIB_count"] == 2
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="ncpcp",
    lazy=True
)
assert field.attrs["GRIB_count"] == 2
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="rainnc",
    lazy=True
)
assert field.attrs["GRIB_count"] == 2
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter={
        "discipline": 0,
        "parameterCategory": 1,
        "parameterNumber": 9,
    },
    lazy=True
)
assert field.attrs["GRIB_count"] == 2

总降水#

要素名

wgrib2

eccodes

cemc

GRIB Key

层次类型

层次

编号

总降水

APCP

-

rain

(0, 1, 8)

-

-

3

field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="APCP",
    lazy=True
)
assert field.attrs["GRIB_count"] == 3
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="rain",
    lazy=True
)
assert field.attrs["GRIB_count"] == 3
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter={
        "discipline": 0,
        "parameterCategory": 1,
        "parameterNumber": 8,
    },
    lazy=True
)
assert field.attrs["GRIB_count"] == 3

降雪量#

要素名

wgrib2

eccodes

cemc

GRIB Key

层次类型

层次

编号

降雪量

ASNOW

-

snow

(0, 1, 29)

-

-

4

field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="ASNOW",
    lazy=True
)
assert field.attrs["GRIB_count"] == 4
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter={
        "discipline": 0,
        "parameterCategory": 1,
        "parameterNumber": 29,
    },
    lazy=True
)
assert field.attrs["GRIB_count"] == 4

TMP#

地表温度#

要素名

wgrib2

eccodes

cemc

GRIB Key

层次类型

层次

编号

地表温度

TMP

t

ts

(0, 0, 0)

surface

-

5

field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="TMP",
    level_type="sfc",
    lazy=True
)
assert field.attrs["GRIB_count"] == 5
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="t",
    level_type="surface",
    lazy=True
)
assert field.attrs["GRIB_count"] == 5
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter="ts",
    lazy=True
)
assert field.attrs["GRIB_count"] == 5
field = load_field_from_file(
    gfs_grib2_orig_file_path,
    parameter={
        "discipline": 0,
        "parameterCategory": 0,
        "parameterNumber": 0,
    },
    level_type="sfc",
    lazy=True
)
assert field.attrs["GRIB_count"] == 5