u10_regrid = ESMF_regrid(u10,Opt) v10_regrid = ESMF_regrid(v10,Opt) slp_regrid = ESMF_regrid(slp,Opt) t2_regrid = ESMF_regrid(t2,Opt) ; td_regrid = ESMF_regrid(td,Opt) rainc_regrid = ESMF_regrid(rainc,Opt) rainn
Miscellaneous ESMPY: Earth System Modeling Framework (ESMF) Python interface PyHSPF: Python extensions to the Hydrological Simulation Program in Fortran (HSPF). SPHY: Spatial Processes in HYdrology (SPHY) model xsboringen: (In Dutch) A python library for processing and plotting borehole and CPT dat...
/Users/gtoth/ESMF_nagfor/bin/bing/Darwin.nag.64.mpich.default/ESMX_Builder --prefix=/Users/gtoth/Tmp_nag/SWMF --verbose Settings: ESMX_BUILD_FILE=esmxBuild.yaml ESMF_ESMXDIR=/Users/gtoth/ESMF_nagfor/include/ESMX ESMFMKFILE=/Users/gtoth/ESMF_nagfor/esmf.mk BUILD_DIR=/Users/gtoth/...
•xESMF和ESMPy:气象数据空间插值,尤其是对于模式网格数据而言,提供了一些便捷的命令可对网格数据进行一些列插值操作•python-stratify:针对大气和海洋数据进行垂直插值•scipy.interpolate模块提供了大量插值函数•python-geotiepoints:针对地理网格数据的空间插值 说到地球科学领域的数据处理,最离不开的应该也是模式输...
由于python和julia都没有像NCL一样直接处理非结构化网格的画图能力(基于ncarg实现的),插值就是必不可少的步骤。在NCL中对于MPAS的插值处理都是基于ESMF实现的,并且NCL实现了对于ESMF的Wrapper。但是在python中,使用ESMPy/Dsgrid极其复杂,需要对于网格本身有一些了解,而且Dsgrid已经许久没更新。
Dependencies on (a) a specific “driver”2 component to coordinate model components implementation (e.g. MOSSCO (Modular System for Shelves and Coasts), ESMF), (b) other frameworks (e.g. MOSSCO relies on the ESMF/NUOPC) or (c) couplers (e.g. OASIS3-MCT (Ocean–Atmosphere–Sea–Ice–...
由于python和julia都没有像NCL一样直接处理非结构化网格的画图能力(基于ncarg实现的),插值就是必不可少的步骤。在NCL中对于MPAS的插值处理都是基于ESMF实现的,并且NCL实现了对于ESMF的Wrapper。但是在python中,使用ESMPy/Dsgrid极其复杂,需要对于网格本身有一些了解,而且Dsgrid已经许久没更新。
and Interpolation Package. This is used by the pyroms module. The Python scrip code (a rather old version) isbundled in pyromsand can be built and installed separately as described below. In future we plan to move from the bundled scrip code to a stand-alone package likeESMF/ESMPyorPy...
numpy,pandas,xarray,scipy,matplotlib,proplot,cartopy,xesmf等 往期精彩 【写在前篇】Why Python——新手选看 【WRF报错-ungrib】你以为把数据打包上传就万无一失了嘛? 【基础知识】Anaconda的安装 发布于 2022-10-28 21:23・安徽 1 外交部回应美对华加征 245% 关税,称「中方不愿打,但也绝不怕打」,美国...
import pandas as pd import xarray as xr import matplotlib.pyplot as plt #Set at 0.2 degree grids ish freq=20 lats=240 lons=1020 time=pd.date_range('2000-01',periods=freq,freq='Y') data=np.random.rand(freq,lats,lons) lat=np.linspace(-19.5,19.5,lats) ...