ArXiv TLDR

Benchmarking Two Chemical Networks used in General Circulation Models of Hot Jupiters

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2604.15850

D. A. Christie, M. Zamyatina, E. Hébrard, T. M. Evans-Soma, N. J. Mayne + 5 more

astro-ph.EP

TLDR

This paper benchmarks two chemical networks in hot Jupiter GCMs, revealing a numerical artifact and highlighting critical rate uncertainties.

Key contributions

  • Benchmarked V19 and MiniCHEM chemical networks in a hot Jupiter GCM (WASP-96b).
  • Found a GCM solver's numerical criterion causes artificial quenching, overestimating HCN, CH4, NH3 by 1.5-3x.
  • Disabling this criterion improves agreement, but HCN and NH3 still differ due to specific reaction rates.
  • Identified a poorly constrained NH2 + NH3 reaction rate and missing species as key sources of discrepancy.

Why it matters

This research identifies a critical numerical artifact in hot Jupiter GCMs that leads to inaccurate chemical abundances. It also highlights the need for improved experimental reaction rates to reduce uncertainties in atmospheric models, ultimately leading to more reliable predictions of exoplanet atmospheres.

Original Abstract

Chemical kinetics is becoming an increasingly vital component of hot Jupiter general circulation models (GCMs). Here we simulate the hot Jupiter WASP-96b using two chemical networks, a reduced chemical network frequently used in the GCM literature (which we refer to as V19) and a more recent effective network making use of tables of net reactions (MiniCHEM), coupled to the same GCM in order to provide a robust benchmark. We find a numerical escape criterion used by the Unified Model chemical kinetics solver to stop integration for the duration of the chemical timestep, independent of the chemical network, results in artificial quenching, overestimating of HCN, CH$_4$, and NH$_3$ abundances by factors of 1.5 to 3. With this criterion disabled, agreement between the two networks is improved, except for HCN and NH$_3$, where different reaction rates and included species results in lower abundances in the V19 network. While many rates differ between the networks, the lower quenched NH$_3$ abundances in the V19 simulations are, in particular, due to the choice of NH$_2$ + NH$_3$ $\rightarrow$ N$_2$H$_3$ + H$_2$ reaction rate, which is poorly constrained in the literature. This reaction also impacts the quenching of HCN, which is additionally affected by the lack of CH$_2$NH$_2$ in the V19 network. While there are reasons to favour the MiniCHEM HCN and NH$_3$ abundances, ultimately, improved experimental and theoretical determination of reaction rates are needed to address the uncertainties and better characterize the quenching behaviour.

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