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Getvar Returned Large SLP Values Occasionally #230

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zhanshi1997 opened this issue Feb 23, 2024 · 1 comment
Closed

Getvar Returned Large SLP Values Occasionally #230

zhanshi1997 opened this issue Feb 23, 2024 · 1 comment

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@zhanshi1997
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Hello, I am wondering if anyone had the same problem or could help me with this. Really appreciate any help.

So I have wrf output files and try to get the sea level pressure by:
slp_sim = getvar(wrfout, 'slp')
The returned results are around 1040 to 1050 hPa while slp from ERA5 reanalysis is around 1016 hPa.
Also, this happens only in a few output files (one time step output per file). For example, when I use an output file of different time, it matches with the reanalysis.

@zhanshi1997
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Attached are two wrf output files. I got large values in Aug 16_00 file, while Aug 16_03 is good: https://drive.google.com/drive/folders/1o2JtpElNSTTM68dDx_3QxijfEx9afc27?usp=sharing

Here's the list of my package in this environment:

Name Version Build Channel

asttokens 2.4.1 pyhd8ed1ab_0 conda-forge
blas 1.0 mkl
bottleneck 1.3.7 py310h9128911_0
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
bzip2 1.0.8 hcfcfb64_5 conda-forge
ca-certificates 2024.2.2 h56e8100_0 conda-forge
cartopy 0.22.0 py310h4748b25_0
certifi 2024.2.2 py310haa95532_0
cftime 1.6.2 py310h9128911_0
colorama 0.4.6 pyhd8ed1ab_0 conda-forge
comm 0.2.1 pyhd8ed1ab_0 conda-forge
contourpy 1.2.0 py310h59b6b97_0
cycler 0.11.0 pyhd3eb1b0_0
debugpy 1.8.1 py310h00ffb61_0 conda-forge
decorator 5.1.1 pyhd8ed1ab_0 conda-forge
exceptiongroup 1.2.0 pyhd8ed1ab_2 conda-forge
executing 2.0.1 pyhd8ed1ab_0 conda-forge
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 ha860e81_0
geos 3.8.0 h33f27b4_0
hdf4 4.2.13 h712560f_2
hdf5 1.12.1 h51c971a_3
icc_rt 2022.1.0 h6049295_2
importlib-metadata 7.0.1 pyha770c72_0 conda-forge
importlib_metadata 7.0.1 hd8ed1ab_0 conda-forge
intel-openmp 2023.1.0 h59b6b97_46320
ipykernel 6.29.2 pyha63f2e9_0 conda-forge
ipython 8.22.0 pyh7428d3b_0 conda-forge
jedi 0.19.1 pyhd8ed1ab_0 conda-forge
jpeg 9e h2bbff1b_1
jupyter_client 8.6.0 pyhd8ed1ab_0 conda-forge
jupyter_core 5.7.1 py310h5588dad_0 conda-forge
kiwisolver 1.4.4 py310hd77b12b_0
lerc 3.0 hd77b12b_0
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libcurl 8.5.0 h86230a5_0
libdeflate 1.17 h2bbff1b_1
libffi 3.4.4 hd77b12b_0
libnetcdf 4.8.1 h6685c40_4
libpng 1.6.39 h8cc25b3_0
libsodium 1.0.18 h8d14728_1 conda-forge
libsqlite 3.45.1 hcfcfb64_0 conda-forge
libssh2 1.10.0 he2ea4bf_2
libtiff 4.5.1 hd77b12b_0
libwebp-base 1.3.2 h2bbff1b_0
libzip 1.8.0 h289538f_1
libzlib 1.2.13 hcfcfb64_5 conda-forge
lz4-c 1.9.4 h2bbff1b_0
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2
matplotlib-base 3.8.0 py310h4ed8f06_0
matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge
mkl 2023.1.0 h6b88ed4_46358
mkl-service 2.4.0 py310h2bbff1b_1
mkl_fft 1.3.8 py310h2bbff1b_0
mkl_random 1.2.4 py310h59b6b97_0
msys2-conda-epoch 20160418 1
munkres 1.1.4 py_0
nest-asyncio 1.6.0 pyhd8ed1ab_0 conda-forge
netcdf4 1.6.2 py310hadf358c_0
numexpr 2.8.7 py310h2cd9be0_0
numpy 1.26.3 py310h055cbcc_0
numpy-base 1.26.3 py310h65a83cf_0
openjpeg 2.4.0 h4fc8c34_0
openssl 3.2.1 hcfcfb64_0 conda-forge
packaging 23.2 pyhd8ed1ab_0 conda-forge
pandas 2.1.4 py310h4ed8f06_0
parso 0.8.3 pyhd8ed1ab_0 conda-forge
pickleshare 0.7.5 py_1003 conda-forge
pillow 10.2.0 py310h2bbff1b_0
pip 24.0 pyhd8ed1ab_0 conda-forge
platformdirs 4.2.0 pyhd8ed1ab_0 conda-forge
proj 9.3.1 ha107b6e_0
prompt-toolkit 3.0.42 pyha770c72_0 conda-forge
psutil 5.9.8 py310h8d17308_0 conda-forge
pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge
pygments 2.17.2 pyhd8ed1ab_0 conda-forge
pyparsing 3.0.9 py310haa95532_0
pyproj 3.6.1 py310h8d66fa9_0
pyshp 2.3.1 py310haa95532_0
python 3.10.13 h4de0772_1_cpython conda-forge
python-dateutil 2.8.2 pyhd8ed1ab_0 conda-forge
python-tzdata 2023.3 pyhd3eb1b0_0
python_abi 3.10 4_cp310 conda-forge
pytz 2023.3.post1 py310haa95532_0
pywin32 306 py310h00ffb61_2 conda-forge
pyzmq 25.1.2 py310h2849c00_0 conda-forge
scipy 1.11.4 py310h309d312_0
setuptools 69.1.0 pyhd8ed1ab_1 conda-forge
shapely 2.0.1 py310h6c53999_0
six 1.16.0 pyh6c4a22f_0 conda-forge
sqlite 3.45.1 hcfcfb64_0 conda-forge
stack_data 0.6.2 pyhd8ed1ab_0 conda-forge
tbb 2021.8.0 h59b6b97_0
tk 8.6.13 h5226925_1 conda-forge
tornado 6.4 py310h8d17308_0 conda-forge
traitlets 5.14.1 pyhd8ed1ab_0 conda-forge
typing_extensions 4.9.0 pyha770c72_0 conda-forge
tzdata 2024a h0c530f3_0 conda-forge
ucrt 10.0.22621.0 h57928b3_0 conda-forge
vc 14.3 hcf57466_18 conda-forge
vc14_runtime 14.38.33130 h82b7239_18 conda-forge
vs2015_runtime 14.38.33130 hcb4865c_18 conda-forge
wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge
wheel 0.42.0 pyhd8ed1ab_0 conda-forge
wrapt 1.14.1 py310h2bbff1b_0
wrf-python 1.3.4.1 py310hf8fe482_2 conda-forge
xarray 2023.6.0 py310haa95532_0
xz 5.4.5 h8cc25b3_0
zeromq 4.3.5 h63175ca_0 conda-forge
zipp 3.17.0 pyhd8ed1ab_0 conda-forge
zlib 1.2.13 hcfcfb64_5 conda-forge
zstd 1.5.5 hd43e919_0

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