一、数据内容描述
1.1 数据概述
GODAS是一种实时海洋分析和再分析。它用于监测、回顾性分析以及为CFS提供海洋初始条件。温度和合成盐度剖面都采用Derber和Rosati(1989)设计的3DVAR方案进行同化。模型中有40个垂直层和1x1数据值(在赤道10度范围内分辨率提高到1/3x1/3度)。所有纬度的数据都是以1/3x1/3度提供的。GODAS受 NCEP atmospheric Reanalysis 2 的动量通量、热通量和淡水通量的影响。它似乎很好地再现了观测结果(见参考文献)。
NOAA Climate Prediction Center from:
https://www.cpc.ncep.noaa.gov/products/GODAS/.
下载地址:
https://psl.noaa.gov/data/gridded/data.godas.html
数据共28G。每月数据记为一条,共504条数据。
1.2 内容描述
时间分辨率:Monthly
空间分辨率:0.333 degree latitude x 1.0 degree longitude global grid (418x360)
时间范围:1980/01 - 2023/09
空间范围:
74.5S - 64.5N, 0.5E - 359.5E
74.0S - 65.0N, 1.0E - 360.0E
深度范围:
5, 15, 25, 35, 45, 55, 65, 75, 85, 95, 105, 115, 125, 135, 145, 155, 165, 175, 185, 195, 205, 215, 225, 238, 262, 303, 366, 459, 584, 747, 949, 1193, 1479, 1807, 2174, 2579, 3016, 3483, 3972, 4478 m depth.
10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110, 120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 220, 231, 250, 282, 334, 412, 521, 665, 848, 1071, 1336, 1643, 1990, 2376, 2797, 3249, 3727, 4225, 4736 m depth (for geometric vertical velocity only).
Sea Surface
数据格式:CF metadata standard, NetCDF4 format.
Missing data:填充值为-9.96921e+36f
1.3 目录结构描述
Bash
├── [583M] geometric_vertical_velocity_1
│ ├── [291M] dzdt.mon.ltm.1991-2020.nc
│ └── [291M] dzdt.mon.ltm.nc
├── [4.7G] geometric_vertical_velocity_2
│ ├── [105M] dzdt.1980.nc
│ ├── ...
│ └── [ 99M] dzdt.2023.nc
├── [ 14M] meridional_momentum_flux_1
│ ├── [7.2M] vflx.mon.ltm.1991-2020.nc
│ └── [7.2M] vflx.mon.ltm.nc
├── [131M] meridional_momentum_flux_2
│ ├── [2.9M] vflx.1980.nc
│ ├── ...
│ └── [2.6M] vflx.2023.nc
├── [ 14M] ocean_isothermal_layer_depth_below_sea_surface_1
│ ├── [7.2M] dbss_obil.mon.ltm.1991-2020.nc
│ └── [7.2M] dbss_obil.mon.ltm.nc
├── [134M] ocean_isothermal_layer_depth_below_sea_surface_2
│ ├── [3.2M] dbss_obil.1980.nc
│ ├── ...
│ └── [2.2M] dbss_obil.2023.nc
├── [ 14M] ocean_mixed_layer_depth_below_sea_surface_1
│ ├── [7.2M] dbss_obml.mon.ltm.1991-2020.nc
│ └── [7.2M] dbss_obml.mon.ltm.nc
├── [133M] ocean_mixed_layer_depth_below_sea_surface_2
│ ├── [3.1M] dbss_obml.1980.nc
│ ├── ...
│ └── [2.3M] dbss_obml.2023.nc
├── [884M] Potential_Temperature_1
│ ├── [413M] pottmp.mon.ltm.1981-2010.nc
│ ├── [235M] pottmp.mon.ltm.1991-2020.nc
│ └── [235M] pottmp.mon.ltm.nc
├── [4.2G] Potential_Temperature_2
│ ├── [ 98M] pottmp.1980.nc
│ ├── ...
│ └── [ 62M] pottmp.2023.nc
├── [1.4K] ReadMe
├── [468M] salinity_1
│ ├── [234M] salt.mon.ltm.1991-2020.nc
│ └── [234M] salt.mon.ltm.nc
├── [2.9G] salinity_2
│ ├── [ 65M] salt.1980.nc
│ ├── ...
│ └── [ 62M] salt.2023.nc
├── [ 15M] salt_flux_1
│ ├── [7.4M] sltfl.mon.ltm.1991-2020.nc
│ └── [7.4M] sltfl.mon.ltm.nc
├── [147M] salt_flux_2
│ ├── [3.4M] sltfl.1980.nc
│ ├── ...
│ └── [2.3M] sltfl.2023.nc
├── [ 14M] sea_surface_height_relative_to_geoid_1
│ ├── [7.2M] sshg.mon.ltm.1991-2020.nc
│ └── [7.2M] sshg.mon.ltm.nc
├── [154M] sea_surface_height_relative_to_geoid_2
│ ├── [3.5M] sshg.1980.nc
│ ├── ...
│ └── [2.6M] sshg.2023.nc
├── [ 15M] total_downward_heat_flux_at_surface_1
│ ├── [7.4M] thflx.mon.ltm.1991-2020.nc
│ └── [7.4M] thflx.mon.ltm.nc
├── [176M] total_downward_heat_flux_at_surface_2
│ ├── [4.0M] thflx.1980.nc
│ ├── ...
│ └── [2.7M] thflx.2023.nc
├── [570M] u_of_current_1
│ ├── [285M] ucur.mon.ltm.1991-2020.nc
│ └── [285M] ucur.mon.ltm.nc
├── [5.0G] u_of_current_2
│ ├── [114M] ucur.1980.nc
│ ├── ...
│ └── [ 97M] ucur.2023.nc
├── [578M] v_of_current_1
│ ├── [289M] vcur.mon.ltm.1991-2020.nc
│ └── [289M] vcur.mon.ltm.nc
├── [4.9G] v_of_current_2
│ ├── [112M] vcur.1980.nc
│ ├── ...
│ └── [ 96M] vcur.2023.nc
├── [ 14M] zonal_momentum_flux_1
│ ├── [7.1M] uflx.mon.ltm.1991-2020.nc
│ └── [7.1M] uflx.mon.ltm.nc
└── [132M] zonal_momentum_flux_2
├── [3.0M] uflx.1980.nc
├── ...
└── [2.5M] uflx.2023.nc
1.4 文件描述
文件中变量介绍如下:
Potential Temperature
geometric vertical velocity
meridional momentum flux
ocean isothermal layer depth below sea surface
ocean mixed layer depth below sea surface
potential temperature
salinity
salt flux
sea surface height relative to geoid
total downward heat flux at surface
u of current
v of current
zonal momentum flux
二、使用说明
2.1 共享说明
数据集完全共享。
Citation:
Behringer, D.W., M. Ji, and A. Leetmaa, 1998: An improved coupled model for ENSO prediction and implications for ocean initialization. Part I: The ocean data assimilation system. Mon. Wea. Rev., 126, 1013-1021.
Please note: If you acquire NCEP Global Ocean Data Assimilation System (GODAS) data products from PSL, we ask that you acknowledge us in your use of the data. This may be done by including text such as NCEP Global Ocean Data Assimilation System (GODAS) data provided by the NOAA PSL, Boulder, Colorado, USA, from their website at https://psl.noaa.gov in any documents or publications using these data. We would also appreciate receiving a copy of the relevant publications. This will help PSL to justify keeping the data freely available online in the future. Thank you!
2.2使用说明
About netCDF:
Read, Process and Plot Data:
• Suggestions for reading our netCDF files
• Software packages that read and plot our netCDF files
• PSL data display and analysis tools
• General FORTRAN Code That Will Read Our Files
• Common problems with reading files
References:
Behringer, D.W., M. Ji, and A. Leetmaa, 1998: An improved coupled model for ENSO prediction and implications for ocean initialization. Part I: The ocean data assimilation system. Mon. Wea. Rev., 126, 1013-1021.
Behringer, D.W., and Y. Xue, 2004: Evaluation of the global ocean data assimilation system at NCEP: The Pacific Ocean. Eighth Symposium on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, AMS 84th Annual Meeting, Washington State Convention and Trade Center, Seattle, Washington, 11-15. Derber, J.C., and A. Rosati, 1989: A global oceanic data assimilation system. J. Phys. Oceanogr., 19, 1333-1347.
Ji, M., A. Leetmaa, and J. Derber, 1995: An ocean analysis system for seasonal to interannual climate studies. Mon. Wea. Rev., 123, 460-481.
S. Saha, S. Nadiga, C. Thiaw, J. Wang, W. Wang, Q. Zhang, H. M. van den Dool, H.-L. Pan, S. Moorthi, D. Behringer, D. Stokes, M. Pe�a, S. Lord, G. White, W. Ebisuzaki, P. Peng, P. Xie , 2006 : The NCEP Climate Forecast System. Accepted J. Climate.