Land Carbon Cycle Modeling Matrix Approach, Data Assimilation, & Ecological Forecasting PDF

Land Carbon Cycle Modeling Matrix Approach, Data Assimilation, & Ecological Forecasting PDF

Name:
Land Carbon Cycle Modeling Matrix Approach, Data Assimilation, & Ecological Forecasting PDF

Published Date:
01/01/2023

Status:
[ Revised ]

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Publisher:
CRC Press Books

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Active

Format:
Electronic (PDF)

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10 minutes

Delivery time (for Russian version):
200 business days

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ISBN: 9781498737029

Carbon moves through the atmosphere, through the oceans, onto land, and into ecosystems. This cycling has a large effect on climate – changing geographic patterns of rainfall and the frequency of extreme weather – and is altered as the use of fossil fuels adds carbon to the cycle. The dynamics of this global carbon cycling are largely predicted over broad spatial scales and long periods of time by Earth system models. This book addresses the crucial question of how to assess, evaluate, and estimate the potential impact of the additional carbon to the land carbon cycle. The contributors describe a set of new approaches to land carbon cycle modeling for better exploring ecological questions regarding changes in carbon cycling; employing data assimilation techniques for model improvement; and doing real- or near-time ecological forecasting for decision support. This book strives to balance theoretical considerations, technical details, and applications of ecosystem modeling for research, assessment, and crucial decision making.

Key Features

Helps readers understand, implement, and criticize land carbon cycle models

Offers a new theoretical framework to understand transient dynamics of land carbon cycle

Describes a suite of modeling skills – matrix approach to represent land carbon, nitrogen, and phosphorus cycles; data assimilation and machine learning to improve parameterization; and workflow systems to facilitate ecological forecasting

Introduces a new set of techniques, such as semi-analytic spin-up (SASU), unified diagnostic system with a 1-3-5 scheme, traceability analysis, and benchmark analysis, for model evaluation and improvement

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Authors: Yiqi Luo, Benjamin Smith


Edition : 1.
Number of Pages : 399
Published : 01/01/2023
isbn : 9781498737029

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