python气象学_[实用]大气科学常用的Python库一览

时间:2025-04-25 10:55:48

[1] awesome-atmos: /MeteoAI/awesome-atmos[2] awesome-python: /vinta/awesome-python[3] wrf-python: /en/latest/[4] CAMxtools: /jaegunjung/CAMxtools[5] salem: /en/latest/[6] geos2cmaq: /barronh/geos2cmaq[7] ingest_cm1: /cwebster2/ingest_cm1[8] CESM_postprocessing: /NCAR/CESM_postprocessing[9] DAPPER: /nansencenter/DAPPER[10] pyWRFDART: /lmadaus/pyWRFDART[11] PSU_WRF_EnKF: /myying/PSU_WRF_EnKF[12] PyART: /ARM-DOE/pyart[13] wradlib: /[14] DualPol: /nasa/DualPol[15] SingleDop: /nasa/DualPol[16] ARTView: /nguy/artview[17] satpy: /pytroll/satpy[18] PyCAMA: /projects/pycama[19] pys5p: /rmvanhees/pys5p[20] pyresample: /en/latest/[21] Metpy: /MetPy/latest/[22] Sharppy: /sharppy/SHARPpy[23] atmos: /atmos-python/atmos[24] siphon: /siphon/latest/[25] cfgrib: /ecmwf/cfgrib[26] h5netcdf: /shoyer/h5netcdf[27] PseudoNetcdf: /barronh/pseudonetcdf[28] netcdf4-python: /Unidata/netcdf4-python[29] xarray: /en/stable/[30] iris: /iris/docs/v1.9.0/html/[31] PyNio: /NCAR/pynio[32] xESMF: /JiaweiZhuang/xESMF[33] esmlab-regrid: /NCAR/esmlab-regrid[34] geopandas: /geopandas/geopandas[35] PySAL: /pysal/PySAL[36] cdat: /CDAT/cdat[37] aospy: /spencerahill/aospy[38] hageleslag: /djgagne/hagelslag[39] IDEA Lab: /idea/[40] EarthML: /pyviz-topics/EarthML[41] sklearn: /stable/[42] keras: /keras-team/keras[43] TensorFlow: /tensorflow/tensorflow[44] CNTK: /Microsoft/CNTK[45] Theano: /Theano/Theano[46] TensorFlow: /tensorflow/tensorflow/[47] PyTorch: /pytorch/pytorch[48] MXNet: /apache/incubator-mxnet[49] XGBoost: /dmlc/xgboost[50] CatBoost: /catboost/catboost[51] LightGBM: /Microsoft/LightGBM[52] matplotlib: /matplotlib/matplotlib[53] PyNGL: /NCAR/pyngl[54] Seaborn: /mwaskom/seaborn[55] Basemap: /basemap/[56] Cartopy: /cartopy/docs/latest/[57] holoviews: /pyviz/holoviews[58] pangeo: /[59] ECCO: /[60] NMC-WFT: /nmcdev[61] Python & Practical Application on Climate Variability Studies: /royalosyin/Python-Practical-Application-on-Climate-Variability-Studies[62] Python for Climate and Meteorological Data Analysis and Visualisation: /nicolasfauchereau/Auckland_Python_Workshop[63] Example notebooks showing how to work with ECMWF services and data: /ecmwf/notebook-examples