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Datasets Pre-Processing Configuration Simulation Prediction: Temperature, Precipitation, Evapotranspiration

This document discusses challenges and approaches related to modeling soil carbon levels. It focuses on issues around data collection and preprocessing, model configuration and simulation, and prediction of future changes in soil carbon. Key problems include high costs of carbon fraction measurements, limited carbon fraction data, and uncertainties in soil carbon turnover estimates and responses to changes. The document proposes developing more efficient sampling and measurement methods, building databases, and improving understanding of carbon sequestration patterns. It also suggests multi-scale assessments of soil carbon and its controls through improved spatial sampling techniques. Better parameterization of soil carbon pools and uncertainty assessment in biogeochemical models are discussed as approaches.

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Rakib Hassan
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0% found this document useful (0 votes)
56 views2 pages

Datasets Pre-Processing Configuration Simulation Prediction: Temperature, Precipitation, Evapotranspiration

This document discusses challenges and approaches related to modeling soil carbon levels. It focuses on issues around data collection and preprocessing, model configuration and simulation, and prediction of future changes in soil carbon. Key problems include high costs of carbon fraction measurements, limited carbon fraction data, and uncertainties in soil carbon turnover estimates and responses to changes. The document proposes developing more efficient sampling and measurement methods, building databases, and improving understanding of carbon sequestration patterns. It also suggests multi-scale assessments of soil carbon and its controls through improved spatial sampling techniques. Better parameterization of soil carbon pools and uncertainty assessment in biogeochemical models are discussed as approaches.

Uploaded by

Rakib Hassan
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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Datasets Pre-processing Configuration Simulation Prediction

Climate Temporal Weather data


Large-scale Temperature, aggregation/ at required Initialization/
Public data precipitation, disaggregation resolution parameter
Remote sensing evapotranspiration estimation
Spectroscopy
Digital soil maps Land use Reclassification
Land use and Change in
management soil organic C
regime Model stocks and
Management composition
Local-scale
by scenario
Farmer/manager
Proximal sensing
Soil properties Spatial Soil data at Baseline
Spectroscopy
C fractions, clay, aggregation/ required Verification soil organic C
Field-scale
bulk density, disaggregation resolution stocks and
digital soil maps water content … composition
Tasks Problems Approaches
• High costs and inefficiency of C • Development of efficient
fraction measurements methods of soil fractionation
Measurements • A limited C fraction data • Database development
• Highly uncertain soil C turnover • New understanding of C
Informed
sampling

estimates sequestration and


• Poor understanding of C fraction stabilisation patterns in soils
Inputs responses to changes
• No multi-scale assessment of soil • Plant and soil co-sampling
Spatial • More accurate estimation of
Planning
C and its controls
Modelling • Unbalance in spatial soil and soil spatial variation
plant sampling across scales • Improved assessment of
Inputs Inputs climate, vegetation and land
use on soil C
Inputs
• Difficulties in soil C model • Improvement of soil C pool-
Biogeochemical parameterisation specific uncertainty
simulation • Unsupported uncertainty in assessment
Future change modelled C pool estimates • Building simulation capacity for
predictions • Unknown model confidence flexibility and wide applications

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