“最好的气候数据处理软件是什么？”（作者为NCAR研究员）

hillside

https://climatedataguide.ucar.edu/processing/software/overview

Climate Data Processing Software
The following is by Dennis Shea (NCAR):

A common question:
                                 "What is the best software to use for climate data processing?"

There is no simple answer.  All software tools and languages have strengths and weaknesses. For large scale data processing on a variety of data sets in assorted data formats and differing project requirements, it is unlikley that a perfect tool or language exits.  Often, a combination of software tools and languages will be needed.

Climate data processing involves 3 components:
   (1) file handling (I/O),
   (2) processing (data manipulation and computations), and
   (3) graphics (visualization).

There are three different software categories used for climate data processing and visualization:
   (1) compiled languages (eg., fortran, C, C++),
   (2) command line operators, viewers (NCO, CDO, ncview) , and
   (3) interpreted languages (NCL, GrADS, Ferret, R, Python [CDAT/PyNIO/PyNGL/Numpy/matplotlib] and the commercial products Matlab, IDL and, to a lesser extent, PV-Wave).   

Compiled languages can be much faster than the interpreted languages for large computation bound tasks. Language compilers analyze and optimize code and create machine specific execution instructions. As a result, they can perform looping (iterations) faster.  For example, weather forecast and climate models are often written in fortran (usually f90). However, compiled languages lack builtin support for accessing the different data formats used in climate studies and they have no builtin graphics.  Further, programming in compiled languages can be tedious.

Command line operators (CLOs) are tools that can be executed directly at the system prompt line. There are many NCO and CDO operators and there is some functional overlap. Each operator is designed to perform a specific task efficiently. For example, the NCO operator "ncra" can input one or more netCDF files, compute time averages (means) of all or selected variables on the file(s) and save the results to a netCDF file. It is not uncommon to use an NCO/CDO operator to accomplish a specific task and, then, feed the output file to a different CDO/NCO operator. Ncview is a commonly used visual browser for netCDF format files.

Interpreted languages are general purpose software tools. They include support to read and write assorted data formats; have many builtin computational functions; and, create visualizations. These tools have all the capabilities of the CLOs and ncview and can do much more. However, they do require users to enter commands interactively or via a script.

Within NCAR's Climate Analysis Section, tera-bytes of model output, observationally based data sets like the reanalysis products (ERA-Interim, MERRA, NCEP-NCAR, JRA, ...) and satellite data are analyzed, evaluated and used as the basis for publications. The data are in a variety of formats, including: netCDF-3/4, GRIB-1/2, HDF4, HDF4-EOS, HDF5, HDF5-EOS. The primary post-processing tools used are NCL and the NCO. In some cases, data created by NCL/NCO are input to R for certain statistical methods not available within NCL (eg., extreme value statistics). Depending upon the application, the CDO, IDL and Matlab are also used.


Recommendation: If a desired operation can be performed by a CLO (CDO or NCO), we recommend that the appropriate operator be used. Why? Only because it can be more convenient since no programming is necessary. However, like programming in compiled or interpreted languages, it can sometimes require users to experiment with the appropriate options.

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Comments
#23: Gurunath chinthalu of Indian Institute of Tropical Meteorology on Tuesday, February 5, 2013 - 11:08pm said:

The scope for futher improvements in earth science data visualation and analysis exist , I feel we can take the best from softwares like grads, ferret, python , ncl and other try to build more user friendly software. Well I hope this is possible and the Atmospheric and Ocean science research community will benefit from such an exercise.

gumblear

看着就

nuister

大概读了下，觉得结论是都要用啊。 grads, ferret, python , ncl and other try to build more user friendly software

kongfeng0824

强大，ncl支持

geyx

好东西  要好好看一下

cuhum

虽然很强大，但是很晕

renjinhao

楼主若是能翻译成中文就好了，现在这样子看着眼花

renjinhao

楼主若是能翻译成中文就好了，现在这样子看着眼花

swjtugsz

刚才浏览NCAR网站时看到了这段话。

guigui

the best is no best