🌡 Vapor Pressure Deficit#

[1]:
from herbie import Herbie
from toolbox import EasyMap, pc
from toolbox.pressure import vapor_pressure_deficit
[2]:
ds = Herbie("2021-04-23").xarray("(TMP|RH):2 m")
βœ… Found β”Š model=hrrr β”Š product=sfc β”Š 2021-Apr-23 00:00 UTC F00 β”Š GRIB2 @ aws β”Š IDX @ aws
C:\Users\blaylock\_GITHUB\Herbie\herbie\archive.py:722: UserWarning: This pattern is interpreted as a regular expression, and has match groups. To actually get the groups, use str.extract.
  logic = df.search_this.str.contains(search)
πŸ‘¨πŸ»β€πŸ­ Created directory: [C:\Users\blaylock\data\hrrr\20210423]
C:\Users\blaylock\_GITHUB\Herbie\herbie\archive.py:1041: UserWarning: sorry, on windows I couldn't remove the file.
  warnings.warn("sorry, on windows I couldn't remove the file.")
[3]:
vpd = vapor_pressure_deficit(ds["t2m"] - 273.15, ds["r2"])

crs = ds.herbie.crs
[5]:
ax = EasyMap("50m", crs=crs, figsize=[10, 5], dpi=150).STATES().ax
vpd.plot.pcolormesh(
    x="longitude",
    y="latitude",
    transform=pc,
    cmap="Oranges",
    ax=ax,
    cbar_kwargs=dict(label="2 m Vapor Pressure Deficit (hPa)"),
)
[5]:
<cartopy.mpl.geocollection.GeoQuadMesh at 0x15c5b2ec970>
../../../_images/user_guide_tutorial_bonus_notebooks_vapor_pressure_deficit_4_1.png
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