Unified Diagnostic System for Uncertainty Analysis

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

All model intercomparison projects (MIPs) have shown large uncertainties in prediction of carbon sequestration among models and poor model-data matches. Although great efforts have been made, it is still difficult to identify causes of model uncertainty. This chapter offers a unified diagnostic system, which is also called a 1-3-5 scheme of diagnostics, for uncertainty analysis in carbon cycle modeling. The number 1 stands for one formula to unify the land carbon models, the number 3 is for one three-dimensional (3D) space to evaluate all model outputs, and the number 5 is for five traceable components to pinpoint uncertainty sources via traceability analysis. Once the uncertainty sources are pinpointed, the model uncertainty can be shrunk to zero by standardizing the traceable components.

Original languageEnglish (US)
Title of host publicationLand Carbon Cycle Modeling
Subtitle of host publicationMatrix Approach, Data Assimilation, Ecological Forecasting, and Machine Learning, Second Edition
PublisherCRC Press
Pages57-62
Number of pages6
ISBN (Electronic)9781040026298
ISBN (Print)9781032698496
DOIs
StatePublished - Jan 1 2024
Externally publishedYes

ASJC Scopus subject areas

  • General Business, Management and Accounting
  • General Agricultural and Biological Sciences
  • General Earth and Planetary Sciences
  • General Environmental Science
  • General Engineering

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