【数据下载】SODA数据更新至2022并教学下载

【数据下载】SODA数据更新至2022并教学下载
我为什么那么喜欢使用SODA数据?

就是三维网格化的数据,好用。

但是需要高分辨率还是需要找别的。

以前分享过SODA数据下载,但上次版本过于凌乱。因此重新借助更新再分享一次,不为过。

SODA: Simple Ocean Data Assimilation

01:介绍----总是很长的

The Simple Ocean Data Assimilation, or SODA, analysis is an ocean reanalysis data set consisting of gridded variables for the global ocean, as well as several derived fields. The goal is to provide an improved estimate of ocean state from those based solely on observations or numerical simulations.

Project Goal
The goal of the Simple Ocean Data Assimilation (SODA) project is to reconstruct the historical physical (and eventually biogeochemical) history of the ocean back (eventually) to the beginning of the 20th century. As its name implies, SODA uses a simple architecture based on community standard codes with resolution chosen to match available data and the scales of motion that are resolvable. Agreement with direct measurements (to within estimates of the observational error) as well as unbiased statistics are expected. While SODA remains a university-based research project, we want to be helpful to users by providing a reliable, well-documented, source of seasonal-to-decadal scale ocean/sea ice reanalysis to complement the atmospheric reanalyses available elsewhere.

Our current focus is on examining the impact of improved forecast model physics. In particular we are exploring the impacts of improved (eddy-resolving) horizontal and vertical resolution, improved meteological forcing, and improved tidal mixing. To speed development of a global reanalysis that includes these improvements we’ve begun by focussing on a limited region. Our initial effort has been to develop regional reanalyses of increasing sophistication for the North polar cap (north of 47oN). The first of these, RARE1, has nominal 0.1o horizontal resolution and 75 vertical levels. Even this high resolution does not resolve the fine scales of the Arctic ocean eddy field and so the RARE1 project is being followed by the even higher resolution RARE2, with nominal 0.05o horizontal resolution.

While we continue to work on representing and exploring North polar ocean/sea ice variability as part of the RARE project we have begun applying what we’ve learned to develop the SODA4 global eddy-resolving ocean/ice reanalysis.

02:数据首页
链接:SODA Reanalysis Project (umd.edu)

03:更新

在这里插入图片描述
在这里插入图片描述
为什么我说更新了呢?以前使用也是SODA3里面的数据

年份:1980-2017;
现在:1980-2022;
04:下载—主题
3种类型:

5天平均:

10天平均:

月平均:

下载方式:

linux 系统终端直接运行:


wget -r -l1 --no-parent --progress=bar -nd -A 'soda3.15.2_5dy_ocean_*.nc' http://dsrs.atmos.umd.edu/DATA/soda3.15.2/ORIGINAL/ocean/
wget -r -l1 --no-parent --progress=bar -nd -A 'soda3.15.2_5dy_ice_*.nc' http://dsrs.atmos.umd.edu/DATA/soda3.15.2/ORIGINAL/ice/
wget -r -l1 --no-parent --progress=bar -nd -A 'soda3.15.2_5dy_ocean_reg_*.nc' http://dsrs.atmos.umd.edu/DATA/soda3.15.2/REGRIDED/ocean/
wget -r -l1 --no-parent --progress=bar -nd -A 'soda3.15.2_5dy_ice_reg_*.nc' http://dsrs.atmos.umd.edu/DATA/soda3.15.2/REGRIDED/ice/
wget -r -l1 --no-parent --progress=bar -nd -A 'soda3.15.2_mn_ocean_reg_*.nc' http://dsrs.atmos.umd.edu/DATA/soda3.15.2/REGRIDED/ocean/
wget -r -l1 --no-parent --progress=bar -nd -A 'soda3.15.2_mn_ice_reg_*.nc' http://dsrs.atmos.umd.edu/DATA/soda3.15.2/REGRIDED/ice/
wget -r -l1 --no-parent --progress=bar -nd -A.nc http://dsrs.atmos.umd.edu/DATA/soda3.15.2/SODA
wget -r -l1 --no-parent --progress=bar -nd -A.nc http://dsrs.atmos.umd.edu/DATA/soda3.15.2/ORIGINAL/transport

相关推荐

  1. CMEMS数据下载

    2024-04-11 13:24:03       58 阅读

最近更新

  1. docker php8.1+nginx base 镜像 dockerfile 配置

    2024-04-11 13:24:03       98 阅读
  2. Could not load dynamic library ‘cudart64_100.dll‘

    2024-04-11 13:24:03       106 阅读
  3. 在Django里面运行非项目文件

    2024-04-11 13:24:03       87 阅读
  4. Python语言-面向对象

    2024-04-11 13:24:03       96 阅读

热门阅读

  1. C语言实现MurmurHash1算法

    2024-04-11 13:24:03       37 阅读
  2. SpringClound Eureka 1.9.12 版本源码解析

    2024-04-11 13:24:03       32 阅读
  3. docker保存、导入、导出和加载tar及其tar

    2024-04-11 13:24:03       31 阅读
  4. 前端解决跨域问题

    2024-04-11 13:24:03       37 阅读
  5. 神经网络与深度学习(三)

    2024-04-11 13:24:03       28 阅读
  6. 谈谈系列之金融直播展业畅想

    2024-04-11 13:24:03       34 阅读
  7. Rabbitmq基础

    2024-04-11 13:24:03       37 阅读
  8. 利用python构建Dockerfile 文件

    2024-04-11 13:24:03       35 阅读
  9. Docker- Redis

    2024-04-11 13:24:03       48 阅读
  10. 视觉循迹小车(旭日x3派、opencv)

    2024-04-11 13:24:03       39 阅读
  11. uniApp使用textarea,默认高度且文字多后自适应设置

    2024-04-11 13:24:03       37 阅读
  12. flex布局的学习笔记

    2024-04-11 13:24:03       33 阅读
  13. web按钮点击打开qt窗体

    2024-04-11 13:24:03       36 阅读
  14. 自定义OPPO-r9s的kernel内核,并开启安卓支持docker

    2024-04-11 13:24:03       83 阅读