5 Works

Climate Predictability Tool version 15.6.1

Simon J. Mason & Michael K. Tippett
The Climate Predictability Tool (CPT) is a software 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 or similar predictors. Although the software is specifically tailored for these applications, it can be used in...

Climate Predictability Tool version 15.6.3

Simon J. Mason & Michael K. Tippett
The Climate Predictability Tool (CPT) is a software 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 or similar predictors. Although the software is specifically tailored for these applications, it can be used in...

ChroniclerJ: Lightweight Recording of Nondeterministic Inputs to Reproduce Field Failures (System Implementation)

Jonathan Schaffer Bell, Nikhil Sarda & Gail E. Kaiser
This archive contains the Java implementation of our system, Chronicler, described below: When programs fail in the field, developers are often left with limited information to diagnose the failure. Automated error reporting tools can assist in bug report generation but without precise steps from the end user it is often difficult for developers to recreate the failure. Advanced remote debugging tools aim to capture sufficient information from field executions to recreate failures in the lab...

DiscreteRS: Mathematica Code for evaluating the discrete Rayleigh-Sommerfeld convolution

H. S. Bhat & Braxton Osting
Mathematica Code for evaluating the discrete Rayleigh-Sommerfeld convolution.

Climate Predictability Tool version 15.5.10

Simon J. Mason & Michael K. Tippett
The Climate Predictability Tool (CPT) is a software 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 or similar predictors. Although the software is specifically tailored for these applications, it can be used in...

Registration Year

  • 2017
    5

Resource Types

  • Software
    5

Data Centers

  • Columbia University Libraries
    5