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CMAQ vs GDPuc

A side-by-side editorial comparison of CMAQ and GDPuc — release velocity, themes, recent moves, and the top alternatives to consider.

CMAQ vs GDPuc: at a glance

FeatureCMAQGDPuc
SectorAnalyticsAnalytics
Velocity score0.00.0
Sparks · 30d00
Top themesair-quality, atmospheric-modeling, epa, scientific-computingeconomics, currency-conversion, data-harmonisation, r-package
Last editorial update40m ago1h ago
WebsiteVisit →Visit →

What is CMAQ?

CMAQ went global in v5.5, and has been patching that surface ever since.

CMAQ is the EPA's Community Multiscale Air Quality modeling system, used for regulatory and research air quality simulation. Its release rhythm is strictly two-tier: numbered major versions carry new science and fresh benchmark datasets, while the x.y.z.n updates carry bug fixes against documentation and benchmarks that stay pinned to the parent version. The current line is v5.5, which introduced CRACMM2 chemistry and coupling to MPAS-A meteorology, followed by three patch rollups.

Read the full CMAQ trajectory →

What is GDPuc?

A GDP unit converter that keeps widening which currencies and deflators it will accept

GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.

Read the full GDPuc trajectory →

CMAQ vs GDPuc: editorial side-by-side

C
CMAQ
ANALYTICS
0.0

CMAQ went global in v5.5, and has been patching that surface ever since.

◆ Current state

CMAQ is the EPA's Community Multiscale Air Quality modeling system, used for regulatory and research air quality simulation. Its release rhythm is strictly two-tier: numbered major versions carry new science and fresh benchmark datasets, while the x.y.z.n updates carry bug fixes against documentation and benchmarks that stay pinned to the parent version. The current line is v5.5, which introduced CRACMM2 chemistry and coupling to MPAS-A meteorology, followed by three patch rollups.

◆ Where it's heading

The v5.5 patches cluster around the newest and most sensitive components. ISAM source apportionment and DDM-3D sensitivity analysis account for corrections in every one of the three updates, and CRACMM2 needed fixes within months of release. That is the expected shape after a major version lands: the science is stable, the instrumentation built on top of it is not. Parallel I/O work in the latest patch suggests the global configurations are now being run at scales that expose throughput limits.

◆ Prediction

The next major version will fold these fixes in with new science, documentation and benchmark data — the release notes state this explicitly each time. Until then, expect further ISAM and DDM-3D corrections, which have appeared in every patch so far.

G
GDPuc
ANALYTICS
0.0

A GDP unit converter that keeps widening which currencies and deflators it will accept

◆ Current state

GDPuc converts GDP figures between currencies, base years and price bases, using World Bank conversion factors, and is used as a dependency inside the madrat/magclass modelling stack. The 1.6.x line introduced xCU as a unit — local currency of any country x — added arguments for non-default iso3c and year columns, and made the package work with madrat caching and region mappings. The most recent release fixes a bug in iso3c column selection.

◆ Where it's heading

The direction is toward accepting messier inputs from more callers. Successive releases have relaxed assumptions the package originally made — that a year column exists, that column names follow a convention, that PPP data is available for every country — and each relaxation is driven by an integration rather than by an economics question. The one genuinely methodological addition is the CPI as an alternative deflator, which arrived in 1.0.0.

◆ Prediction

Conversion factors are versioned World Bank data and were last refreshed in 1.0.0, so a data update is the most likely content of the next substantive release, alongside continued fixes to the column-detection logic that has now produced bugs twice.

Alternatives to CMAQ and GDPuc

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either CMAQ or GDPuc.

See all CMAQ alternatives → · See all GDPuc alternatives →

Recent activity from CMAQ and GDPuc

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 8mo agoGDPucFix iso3c column selection
  2. 8mo agoGDPucxCU unit introduced; madrat caching and region mappings supported
  3. 1y agoCMAQCMAQ 5.5.0.3 enables parallel I/O, fixes DDM-3D control files
  4. 1y agoCMAQCMAQ 5.5.0.2 corrects ISAM aerosol and cloud processing
  5. 1y agoCMAQCMAQ 5.5.0.1 fixes SAPRC mechanism runs and NLCD mapping
  6. 1y agoCMAQCMAQ 5.5 adds global simulation coupled to MPAS-A
  7. 1y agoCMAQCMAQ 5.4.0.5: minor ELMO output fixes
  8. 1y agoGDPucBetter column detection; magclass objects without years accepted
  9. 2y agoGDPucCPI added as an alternative deflator; constant euro conversion
  10. 2y agoCMAQCMAQ 5.4.0.4 fixes RBSTATS under ROS3, corrects a molecular weight
  11. 3y agoGDPucSuggests field cleaned for CRAN compliance
  12. 3y agoGDPucCorrect conversion factors returned by return_cfs

Frequently asked questions

What is the difference between CMAQ and GDPuc?

They serve adjacent needs but don't currently overlap on shipped themes. CMAQ and GDPuc are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is CMAQ better than GDPuc?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. CMAQ and GDPuc are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to CMAQ?

Top CMAQ alternatives in Analytics are ranked by recent ship velocity. Browse the "CMAQ alternatives" section above for the current picks, or visit /alternatives/cmaq for the full list with editorial commentary on each.

What are the best alternatives to GDPuc?

Top GDPuc alternatives in Analytics are ranked by recent ship velocity. Browse the "GDPuc alternatives" section above for the current picks, or visit /alternatives/gdpuc-r for the full list with editorial commentary on each.