arXiv (All)
open access
Steering Diffusion Priors with Sparse Observations for High-Resolution Temperature Downscaling
Local heatwave hazard depends on fine-scale air temperature, but ground stations are sparse and reanalysis products such as ERA5 cannot resolve the terrain and land-surface contrasts that shape real heat exposure. We present a conditional diffusion emulator for high-resolution 2-m temperature downsc
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters#7437
- Effects of Local Thermal Nonequilibrium and Sediment Heterogeneity on Heat Tracer‐Based Downwelling Flux Quantification in Streambeds#1133977
- Software pipeline for the high-resolution estimation of air temperatures and probabilistic heat hazards in urban regions#666716
- A Conditional Denoising Diffusion Probabilistic Model for RFI Mitigation in Synthetic Aperture Interferometric Radiometer#1084174
- Integration of Earth Observation Data and Ground-based Measurements to generate High Spatiotemporal Resolution Land Surface Temperature Maps#325708
Record · ID 987013
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive