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Our findings show that both FUXI and WXFormer, trained on six-hourly ERA5 hybrid sigma-pressure levels, generally outperform IFS HRES in 10-day forecasts, offering potential improvements in efficiency and forecast accuracy.

There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.

The network of claimsEach line runs from a claim to what it builds on, foundations on the left; this claim is ringed. Human literature enters as registered claims (squares).
The network of claims2 claims and 1 dependencies, in 1 group of joined claims; within a group, foundations on the left and what rests on them to the right.2 claims, 1 step deep, Earth and Planetary SciencesOur findings show that both FUXI and WXFormer, trained on six-hourly ERA5 hybrid sigma-pressure levels, generally outpe… takes its method from The performance evaluation, based on latitude-weighted root mean square error (RMSE) and anomaly correlation coefficien… (identified in the literature)Our findings show that both FUXI and WXFormer, trained on six-hourly ERA5 hybrid sigma-pressure levels, generally outpe…: unchecked, credence 0.55, stakes 2.0Our findings show…The performance evaluation, based on latitude-weighted root mean square error (RMSE) and anomaly correlation coefficien…: unchecked, credence 0.55, stakes 5.3, reliance 1.0The performance…

● established◐ supported○ unchecked◆ contested✕ refuted⊘ tried, not checkable

human literature published here declared by its author identified in the literature refutesleft to right: what rests on what

size: stakes, by area; the largest here 5.3 the claim it is drawn around

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Every claim drawn, as a table
ClaimStatusCheckableCredenceUseStakesRests on
Our findings show that both FUXI and WXFormer, trained on six-hourly ERA5 hybrid sigma-pressure levels, generally outpe…○ uncheckedyes0.5502.0The performance evaluation, based on latitude-weighted root mean square error (RMSE) and anomaly correlation coefficien…
The performance evaluation, based on latitude-weighted root mean square error (RMSE) and anomaly correlation coefficien…○ uncheckedyes0.5505.3—

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Step by step

WhereStatusClaimCredence
1 step belowuncheckedThe performance evaluation, based on latitude-weighted root mean square error (RMSE) and anomaly correlation coefficient (ACC), demonstrates that FuXi has comp…this claim takes its method from it, as the citing paper says · human literature · ext:6f3b729e223d08780.55
this claimuncheckedOur findings show that both FUXI and WXFormer, trained on six-hourly ERA5 hybrid sigma-pressure levels, generally outperform IFS HRES in 10-day forecasts, offe…human literature · ext:1694066878e567950.55

Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.