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本帖最后由 hillside 于 2015-2-1 19:19 编辑
以下内容来自哥伦比亚大学气候学研究网站
Climate Predictability Tool
The Climate Predictability Tool (CPT) provides a Windows package for constructing a seasonal climate forecast model, performing model validation, and producing forecasts given updated data. Its design has been tailored for producing seasonal climate forecasts using model output statistic (MOS) corrections to climate predictions from general circulation model (GCM), or for producing forecasts using fields of sea-surface temperatures. Although the software is specifically tailored for these applications, it can be used in more general settings to perform canonical correlation analysis (CCA) or principal components regression (PCR) on any data, and for any application. Comments and requests for changes and developments can be emailed to cpt@iri.columbia.edu.
Climate Predictability Tool (CPT)
Ousmane Ndiaye and Simon J. Mason
cpt@iri.columbia.edu
International Research Institute for Climate and Society
The Earth Institute of Columbia University
The Climate Predictability Tool (CPT) provides a Windows package for :
• seasonal climate forecasting
• model validation
• actual forecasts given updated data
• Uses ASCII input files
• Options :
• Principal Components Regression (PCR)
• Canonical Correlation Analysis (CCA)
• Multi Linear Regression (MLR)
• Global Model Output (GCM)
FORTRAN模块程序摘录:
! CPT_formatV11 module of subroutines is used to save data in CPT V11 formats.
! The output data are ASCII values. The user can call the following subroutines
! to create appropriate data file.
!
! 1. write_cpt_grid_v11 --> gridded data
! 2. write_cpt_stns_v11 --> station data
! 3. write_cpt_unrf_v11 --> unreferenced data
!
! The data can be provided in single or double precision. Different versions of
! each routine are provided depending upon whether the data contain multiple fields
! and or lagged fields.
!
! Use of these subroutines:
! Include the following statement at the beginning of subroutines or modules.
!
! USE CPT_formatV11
…………………(以下省略)
软件运行封面:
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