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arxiv: 2606.12762 · v1 · pith:VED6FUNAnew · submitted 2026-06-11 · ⚛️ physics.ao-ph

Comparison of Two Operational Microphysics Schemes Across Various Regional-MPAS Simulations

Abraham I. Roseman (1) , Falko Judt (2) , Wei Wang (2) , Ting-Yu Cha (2) , Giuseppe Torri (1) ((1) Department of Atmospheric Sciences , University of Hawai'i at Manoa , Honolulu , Hawai'i
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USA (2) Mesoscale & Microscale Meteorology Laboratory National Center for Atmospheric Research Boulder Colorado USA)
This is my paper

Pith reviewed 2026-06-27 05:37 UTC · model grok-4.3

classification ⚛️ physics.ao-ph
keywords microphysics parameterizationconvective organizationprecipitation distributionMPAS-ATEMPONSSLtropical convectionnumerical weather prediction
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0 comments X

The pith

TEMPO produces more numerous weaker convective cores and widespread precipitation while NSSL favors fewer stronger cores and intense localized rain, but both diverge more from observations than from each other.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This paper compares two operational microphysics schemes, TEMPO and NSSL, in MPAS-A hindcasts over subtropical and tropical regions at 1-km resolution during boreal summer. It establishes that the schemes generate different storm structures and rainfall patterns, with TEMPO yielding earlier widespread precipitation and cooler surfaces and NSSL yielding stronger updrafts with more concentrated intense rain. Both schemes however produce scattered cells with little mesoscale organization and insufficient stratiform precipitation, showing greater deviation from observations than from each other and with larger errors in weakly-forced regimes. A reader would care because these findings isolate how microphysics choices affect convection representation in numerical weather prediction models for these environments.

Core claim

The central claim on the paper's terms is that TEMPO and NSSL microphysics schemes produce distinct convective organizations and hydrometeor distributions in MPAS-A simulations, with TEMPO creating more numerous weaker cores, earlier widespread precipitation, and cooler surfaces while NSSL creates fewer stronger cores and updrafts with more cloud water, ice, and graupel but less snow and more spatially concentrated intense rainfall; despite these differences both schemes diverge more from observations than from each other, yielding scattered convective cells, minimal mesoscale organization, and insufficient stratiform precipitation, with regime-dependent rainfall errors that are larger in we

What carries the argument

Direct comparison of NSSL and TEMPO microphysics parameterizations within variable-resolution MPAS-A hindcasts across strongly- and weakly-forced regimes in three regions.

If this is right

  • Both schemes produce scattered convective cells with minimal mesoscale organization and insufficient stratiform precipitation.
  • Rainfall is under-represented in strongly-forced regimes and over-represented in weakly-forced regimes.
  • Forecast skill is notably lower in weakly-forced regimes than in strongly-forced regimes.
  • Improving representation of localized precipitation processes is required to capture convection across a wider range of scales and regimes.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The performance gap between the schemes might narrow or widen if the same comparison were repeated at coarser or finer resolutions.
  • Similar structural differences could appear when these microphysics schemes are used inside other convection-permitting models.
  • Targeted adjustments to stratiform processes in both schemes might reduce the shared bias toward insufficient organization.
  • Extending the evaluation to additional seasons or mid-latitude regions could test whether the regime-dependent errors generalize.

Load-bearing premise

Differences between the two schemes and observations arise primarily from the microphysics parameterizations rather than from other model components, resolution limits, or initial and boundary condition errors.

What would settle it

A set of simulations in which the microphysics schemes are swapped into a different dynamical core or resolution while holding all else fixed, followed by verification against the same observations to check whether the relative performance gap between TEMPO and NSSL persists or reverses.

read the original abstract

Accurately representing convection and precipitation remains a persistent challenge for Numerical Weather Prediction (NWP) models due to biases in convective initiation, storm organization, and rainfall distribution, particularly in subtropical/tropical environments. This study evaluated how microphysics parameterizations influence convective organization and precipitation using hindcasts with the Model for Prediction Across Scales - Atmosphere (MPAS-A) on a variable-resolution mesh down to 1-km resolution. Two operational microphysics schemes, National Severe Storm Labs (NSSL) microphysics and Thompson-Eidhammer Microphysics Parameterization for Operations (TEMPO), were examined across three subtropical/tropical regions during boreal summer under strongly- and weakly-forced regimes. Both schemes captured the general timing and placement of convection, but differed in storm structure and rainfall distribution. TEMPO produced more numerous, weaker convective cores with earlier, more widespread precipitation and cooler surface conditions, while NSSL favored fewer, stronger cores and updrafts with more cloud water, ice, and graupel hydrometeors, though less snow, and more spatially concentrated, intense rainfall. Despite these structural differences, both schemes diverged more from observations than from each other, producing scattered convective cells with minimal mesoscale organization and insufficient stratiform precipitation. The simulations also exhibited regime-dependent errors, with rainfall under- (over)-represented in strongly- (weakly)-forced regimes and forecast skill notably lower in the latter. Improving representation of localized precipitation processes remains essential for capturing convection across a wider range of scales and regimes. Future work should target microphysics evaluation across regimes and regions, with process-level improvements reducing convective biases.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

2 major / 1 minor

Summary. The paper compares NSSL and TEMPO microphysics schemes in MPAS-A variable-resolution hindcasts (down to 1 km) over three subtropical/tropical regions in strongly- and weakly-forced boreal-summer regimes. It reports that the schemes differ in convective core number/strength, hydrometeor species, and rainfall spatial distribution (TEMPO: more numerous/weaker cores, earlier/widespread rain; NSSL: fewer/stronger cores, concentrated intense rain), yet both diverge more from observations than from each other, with scattered cells, minimal mesoscale organization, insufficient stratiform precipitation, and regime-dependent rainfall biases (under in strong forcing, over in weak).

Significance. If the inter-scheme and scheme-observation comparisons hold with robust metrics, the work supplies a useful multi-region, multi-regime benchmark for operational microphysics in MPAS-A, underscoring that scheme differences are secondary to larger structural biases in convective organization. This has direct relevance for NWP bias reduction in tropical/subtropical environments.

major comments (2)
  1. [Abstract] Abstract (paragraph on simulation setup and regime-dependent errors): the claim that both schemes 'diverged more from observations than from each other' and that microphysics differences are secondary rests on the untested assumption that other model components (dynamics, resolution, IC/BC) do not dominate the scheme-obs gaps; no sensitivity experiments, resolution convergence tests, or error decomposition are described to isolate microphysics contributions.
  2. [Abstract] Abstract (final paragraph): the statement of 'regime-dependent errors' with rainfall under- (over)-represented in strongly- (weakly)-forced regimes is presented without quantitative support (e.g., regime-specific skill scores or bias magnitudes) that would allow assessment of whether these errors are microphysics-driven or shared across schemes.
minor comments (1)
  1. [Abstract] Abstract: the specific verification metrics or error norms used to quantify 'diverged more from observations than from each other' are not stated, making the central comparison difficult to evaluate from the summary alone.

Simulated Author's Rebuttal

2 responses · 0 unresolved

We thank the referee for their constructive comments. We respond to each major comment below and will revise the abstract accordingly.

read point-by-point responses

  1. Referee: [Abstract] Abstract (paragraph on simulation setup and regime-dependent errors): the claim that both schemes 'diverged more from observations than from each other' and that microphysics differences are secondary rests on the untested assumption that other model components (dynamics, resolution, IC/BC) do not dominate the scheme-obs gaps; no sensitivity experiments, resolution convergence tests, or error decomposition are described to isolate microphysics contributions.

    Authors: We agree that the manuscript does not include sensitivity experiments or error decompositions to fully isolate microphysics from other components. The inter-scheme comparison holds all other factors fixed, and the claim that microphysics differences are secondary is based on the relative size of inter-scheme versus scheme-observation differences within this fixed setup. We will revise the abstract to qualify the scope and avoid implying complete isolation of microphysics effects. revision: yes

  2. Referee: [Abstract] Abstract (final paragraph): the statement of 'regime-dependent errors' with rainfall under- (over)-represented in strongly- (weakly)-forced regimes is presented without quantitative support (e.g., regime-specific skill scores or bias magnitudes) that would allow assessment of whether these errors are microphysics-driven or shared across schemes.

    Authors: Quantitative regime-specific rainfall biases and skill comparisons are presented in the results section. We will add explicit bias magnitudes and skill-score references to the abstract to provide the requested quantitative support. revision: yes

Circularity Check

0 steps flagged

No circularity: direct empirical comparison of scheme outputs to observations

full rationale

The paper conducts hindcast simulations with MPAS-A using two microphysics schemes (NSSL and TEMPO) and compares their outputs (convective cores, hydrometeor species, rainfall distribution) against observations across regions and regimes. No equations, derivations, fitted parameters, or predictions are presented; the central claim is an empirical finding that both schemes diverge more from observations than from each other. No self-citations, ansatzes, or uniqueness theorems are invoked to support any derivation chain. The analysis is self-contained against external benchmarks (observations), with no reduction of results to inputs by construction. Regime-dependent errors and lack of isolation are noted limitations but do not constitute circularity.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is an empirical model intercomparison study. No free parameters, axioms, or invented entities are introduced beyond standard atmospheric modeling assumptions already present in MPAS-A and the two schemes.

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