HAL (France)
open access
Multi-model approach for statistical downscaling and bias correction of Earth system model outputs for marine ecosystem impact applications
Earth system models (ESMs) are the main tool for understanding the impacts of global change and are regularly updated to provide more reliable scenarios of the future. However, their confrontation with observations reveals biases that need to be corrected, especially for impact applications where th
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Multi‐Model Ensembles in Ecosystem Modeling: Challenges and Best Practices for Decision‐Making#495638
- GLOBAL CLIMATE MODEL:A COMPREHENSIVE TOOL IN CLIMATE CHANGE IMPACT STUDIES#11015
- Pronounced inter-model uncertainties in TRENDY-simulated terrestrial carbon sink responses to hydroclimatic extremes#1399520
- Integrated land ecosystem-atmosphere processes study (iLEAPS) assessment of global observational networks#492078
- Development and evaluation of a variably saturated flow model in the global E3SM Land Model (ELM) version 1.0#1165828
Record · ID 1537922
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive