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Earlier sources: Climate Science
This science thread follows climate science through original research, public projects, and source reports. Read the evidence below to see which developments are represented in SYMTRI’s archive.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗34 classified signals in the fourteen-day window. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- arXiv · Published · First archived
ClimateBench v2.0: Probabilistic Climate Model Benchmarking ↗
We present ClimateBench v2, a standardized protocol for evaluating climate models on diagnostics expected to be informative for their skill in projecting mid-century regional temperature and precipitation changes. The protocol is designed to evaluate any physics-based, data-driven, or hybrid climate model on equal footing using a common set of observational and out-of-distribution tests. We define three tiers of evaluation. Tier I establishes physical credibility through entry-ticket tests of energy conservation, coupled (co-)variability, and basic forced responses. Tier II scores models again…
- OpenAlex · Published · First archived
Establishing Yarrowia lipolytica for aloesone biosynthesis through lipid-metabolism rewiring and carbon-source evaluation ↗
Aloesone is a plant-derived aromatic polyketide that serves as a biosynthetic precursor of aloesin and related glucosides, yet its production in yeast cell factories has not been systematically established. In this study, we reconstructed aloesone biosynthesis in a Yarrowia lipolytica strain pre-optimized for efficient xylose utilization by integrating the aloesone synthase (ALS) gene derived from Rheum palmatum into its genome. LC-MS/MS analysis confirmed the formation of aloesone in the engineered yeast strain, whereas no corresponding signal was observed in the control strain. The ALS overe…
- OpenAlex · Published · First archived
Life cycle carbon, energy, and water impacts of isobutanol and sustainable aviation fuel from pea starch ↗
The rapid expansion of plant-based food markets has increased the importance of pea protein production in the food industry, while generating large quantities of pea starch as a low-value co-product. Pea starch is currently used in applications such as animal feed, but these outlets may be insufficient to absorb increasing co-product volumes. Improving pea processing systems requires identifying higher-value and lower-impact applications for this starch, and converting it into isobutanol (IBA) and sustainable aviation fuel (SAF) offers such an outlet while serving aviation, a sector expected t…
- arXiv · Published · First archived
A Multivariable Approach to the Regional Calibration of the Galvez Davison Index across Mexico Climate Regimes ↗
The Gálvez Davison Index (GDI) is a thermodynamic diagnostic designed to summarize convective favorability in the tropical regions, yet its transferability across complex terrain and heterogeneous hydroclimates remains uncertain. Here we assess the climatological behavior and precipitation relevance of the GDI over Mexico using ERA5 hourly fields and CHIRPS daily precipitation for 1981 to 2024. We characterize the seasonal cycle and spatial contrasts of GDI and evaluate its association with rainfall using grid point and regional Pearson and Spearman correlations between daily maximum GDI and d…
- arXiv · Published · First archived
SDECast: Probabilistic Weather Forecasting in Continuous Time with Neural SDEs ↗
Existing machine learning weather forecasting models typically generate forecasts through autoregressive rollouts at a fixed temporal resolution. While highly efficient for long-range prediction, this formulation can suffer from severe error accumulation when used with shorter time steps and does not explicitly encode the locality and temporal continuity of atmospheric dynamics. To address these limitations, we introduce **SDECast**, a Neural Stochastic Differential Equation (SDE) framework for continuous-time probabilistic weather forecasting. SDECast extends SDE Matching to learn stochastic…
- Europe PMC · Published · First archived
Computational framework for analyzing inhibitory gas access in carbon monoxide dehydrogenases for industrial biocatalysis. ↗
Carbon monoxide dehydrogenases (CODHs) are emerging as promising biocatalysts for industrial gas fermentation and sustainable C1 bioconversion. However, their practical application is frequently limited by inhibitory gases present in complex industrial gas streams. Here, we used computational analysis to characterize molecular transport pathways in four ChCODH isoforms from Carboxydothermus hydrogenoformans (Ch) and compare ligand transport profiles across the identified pathways. Comparison of the substrate carbon monoxide (CO) and representative inhibitor-associated species, including hydrog
- arXiv · Published · First archived
Dependence of the precipitation intensity distribution on spatial and temporal resolution in observations ↗
Precipitation intensity varies with both spatial and temporal resolution, with broad implications across climate science, yet the nature of this dependence is poorly characterized. We investigate how precipitation intensity distributions change with spatial and temporal resolutions and introduce a framework that approximates these changes between resolutions. Using merged satellite-gauge data regridded to various grid sizes, we construct precipitation amount distributions for spatial resolutions ranging from a base resolution of 0.1$^\circ$ for IMERG and 1$^\circ$ for the FROGS database to a c…
- arXiv · Published · First archived
Post-Training Quantization of Autoregressive Weather Models ↗
Advancements in high-resolution numerical weather prediction (NWP) and data assimilation (DA) have shaped the developments in deep learning (DL) architectures emulating atmospheric dynamics. Emulators for weather forecasting exhibit forecast quality comparable to physics based models at forecast horizon scaling from few days to subseasonal time scales. The emulators are driven by hardware-accelerated matrix multiplication in autoregressive inferences, significantly reducing the computation time and resources required for NWP. Optimization of the matrix multiplication processes in GPU architect…
- arXiv · Published · First archived
AI Emulation of Stochastic Sudden Stratospheric Warming with Interpretable Latent Structure ↗
Rare weather regime transitions pose a challenge for data-driven modeling due to class imbalance. In this study, we develop a probabilistic deep learning emulator for a prototypical system with regime transitions, the stochastic Holton--Mass model of stratospheric variability, and analyze the structure of its learned latent space. The Holton--Mass model exhibits two metastable regimes, a strong and a weak polar vortex, maintained by nonlinear wave--mean flow interactions, with weak stochastic forcing intermittently triggering rare transitions between these regimes that qualitatively represent…
- arXiv · Published · First archived
Varda-single-1.0: deterministic data-driven weather forecasting at 1 km resolution over Switzerland's complex topography ↗
We present Varda-single-1.0, a medium-range data-driven weather prediction system built for the Alpine domain. It provides hourly deterministic regional forecasts on a mesh of 1 km resolution and global forecasts on a 31 km mesh. The system comprises two independently trained stretched-grid Graph Transformer models with encoder-processor-decoder architecture, developed in the Anemoi framework: a 6-hourly autoregressive forecaster and a temporal downscaler reconstructing hourly forecasts between the forecaster's steps. Its training curriculum includes pre-training on ERA5 reanalysis data, follo…
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How to assess evidence about Climate Science
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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