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JournalQ1· SCImago 2025

Geoscientific Model Development

ISSN 1991-959X

• Q1Quartile
• 2.00SJR
• 159h-index
• 12papers summarised

About this journal

Geoscientific Model Development is a Q1 journal by SCImago Journal Rank (2025 data), with an SJR of 2.00 and an h-index of 159. Most of its papers in the Pofolia pool fall under Hardware and Architecture. Pofolia holds AI summaries of 12 paper(s) from this journal; the most cited is “Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding…” (6160 citations).

The quartile (Q1–Q4) is the journal's percentile position within its subject area by SCImago Journal Rank; Q1 is the top 25%. What is a Q1 journal? · What is the h-index?

Most-cited papers in Hardware and Architecture →

Papers we summarise from this journal

• Root mean square error (RMSE) or mean absolute error (MAE)? – Arguments against avoiding RMSE in the literature2014 · 6160 citations
• Root-mean-square error (RMSE) or mean absolute error (MAE): when to use them or not2022 · 1795 citations
• The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7)2026 · 85 citations
• Short-lived halogen sources and chemistry in the Community Earth System Model v2 (CESM2-SLH)2026 · 4 citations
• Modelling wind farm effects in HARMONIE-AROME (cycle 43.2.2) – Part 2: wind turbine database and application to Europe2026 · 3 citations
• Stratospheric aerosol forcing for CMIP7 – Part 2: Volcanic sulfur dioxide emissions2026 · 2 citations
• Schumpeterian disaggregation and integrated assessment: An endogenous, stock-flow consistent economy in disequilibrium for FRIDA v2.12026 · 2 citations
• CMIP7 Data Request: co-created guidance for the production of CMIP7 data [v1.2.2.5]2026 · 2 citations
• Towards high-fidelity simulations of coastal submesoscale baroclinic instabilities with MPAS-O (vE3SM3.0.0) – Part 1: Idealized experiments2026 · 1 citations
• Virtual Rain v1.0: a unified toolkit for high-resolution rainfall simulation and disaggregation2026 · 1 citations
• Enhancing the advection module performance in the EPICC-Model V1.6.0 via GPU-HADVPPM4HIP V1.0 coupling and GPU-optimized strategies2026 · 0 citations
• High-performance geodynamics on GPUs using the PETSc CUDA backend (GAUZZ v1.0.0)2026 · 0 citations

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