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concepts → System

System

GraphCast

frontieras of 2026-092 connections

ten-day global forecasts from a graph network, beating the operational physics system

Where it sits

The prism has six jobs across and eight layers down. Its primary cell is infer × L1. Hatched cells cannot exist — a GPU does not learn, an institution does not infer.

Runs at: datacenter. Evidence: benchmark.

What must come first — and what it unlocks

Left to right is reading order, derived from the prerequisite_of edges. Nothing here is hand-ordered: the diagram is the graph.

nothing comes first — this is a starting pointGraphCastnothing depends on it yet — a leaf in the reading order

Where to read it

The chapter that introduces it, and any chapter that uses it again.

64Simulating the Worldact XIV · AI for Science

Where it comes from

paperLearning Skillful Medium-Range Global Weather ForecastingLam et al., Google DeepMind · 2023

Every connection

All 2 edges touching this node, grouped by relation family — the sections above are highlights from this list. Colours match the relation families inthe atlas.

Structure · 1
is an instance ofNeural weather modelModel
Flow · 1
usesGraph neural networkArchitecture

This page is a projection of one node in src/data/concepts.ts. It has no prose file of its own — 521 declared edges produce all 340 of these pages. Edit an edge and both endpoints change.