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Global Carbon Storage and Flux Prediction at 1km Scales to 2300: Workflow for Ecological Data

This workflow aims to predict carbon storage and flux globally at fine scales up to 2300 by integrating contemporary climate and ecological data, existing models, and paleo-data. It includes model intercomparison, hindcast climate analysis, and future projections, requiring various datasets like climatologies, topography, ecological trait data, and flux measurements. Software needs encompass data processing, storage, and model optimization for accurate predictions.

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Global Carbon Storage and Flux Prediction at 1km Scales to 2300: Workflow for Ecological Data

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  1. Spatially and temporally predict carbon storage & flux globally at 1km scales to 2300

  2. Workflow Ecological data Contemporary testing Climate data Model intercomparison and diagnosis Existing models Hindcast climate Hindcast Paleo-data Land use projections Carbon fluxes & storage Future Prediction Climate projections

  3. Data Needs • Climate & abiotic data (relatively available) • Climatologies: temperature, precipitation, irradiance, pH, nutrients • Topography/bathymetry, currents • GCM output • Ecological trait data (poorly aggregated) • Rooting depth, specific leaf area, vein density, cuticle thickness, phenological cue • Phytoplankton size, stochiometry, thermal tolerance, light requirements • Ecological comparison data • Flux measurements (particle export, flux towers) • Species composition data (forest and marine species inventories) • Cores (lake and marine sediments) • Remote sensing (e.g., color) • Projections • Land use projects • Climate projections

  4. Software Needs • Data conflation • Re-gridding & re-classification • Data quality tracking & versioning • Data cleaning • Storage & access • Tracking decisions • Workflow systems • Modeling • Data format translations • Model speed-up & high-performance computing • Model documentation & versioning • Data assimilation & parameterization • Model intercomparison • Visualization of model outputs (3 or 4D) • Standardized comparisons & skill assessment • Storage & transferring data

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