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Models
297
Datasets
245
Organisations
128

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37 entries in Climate

Showing 37 of 37

ACE2-ERA5allenaiAi2 Climate Emulator v2 trained on ERA5 reanalysis — fast, stable atmospheric simulation at global scale for multi-year climate projections.Climate EmulationBrowse
AIFS ENS 1.0ecmwfFirst 1.0 release of the AIFS ensemble model — probabilistic data-driven global forecasts, predecessor to AIFS ENS 2.0.Weather ForecastingBrowse
AIFS ENS 2.0ecmwfLatest AIFS ensemble forecasting model — generates probabilistic medium-range global forecasts on the Anemoi framework, the open ML counterpart to ECMWF’s IFS ensemble.Weather ForecastingBrowse
AIFS Single 0.2.1ecmwfEarly-release AIFS deterministic model (0.2.1) — original AIFS checkpoint demonstrating ECMWF’s data-driven medium-range forecasting on the Anemoi framework.Weather ForecastingBrowse
AIFS Single 1.1ecmwfAIFS Single 1.1 — intermediate deterministic AIFS release on the Anemoi framework, supporting reproducibility of operational forecast comparisons.Weather ForecastingBrowse
AIFS Single 2.0ecmwfLatest deterministic AIFS — ECMWF’s data-driven global weather model on the Anemoi framework, producing single-trajectory medium-range forecasts.Weather ForecastingBrowse
AuroramicrosoftFoundation model for the Earth system — global weather forecasting, atmospheric chemistry, ocean waves, and tropical-cyclone tracking from a single shared backbone.Weather Foundation ModelBrowse
cBottlenvidiaDiffusion-based generative model that generates atmospheric states at kilometer resolution.Climate ModelingBrowse
CloudSEN12Plusisp-uv-esLarge-scale cloud detection dataset with 49,000+ Sentinel-2 patches and expert-quality cloud/shadow annotations across global biomes and seasons.Earth ObservationBrowse
EO-via-NLPnasa-impactPaired earth observation imagery and natural-language descriptions for training and evaluating multimodal models on remote sensing understanding tasks.Earth ObservationBrowse
FourCastNet 3nvidiaAdvanced ML model for global weather forecasting - produces 60-day forecasts in under 4 minutes on a single GPU.Weather PredictionBrowse
HiRO-ACEallenaiAI framework for efficient climate and weather simulation with kilometer-scale precipitation downscaling.Climate EmulationBrowse
ML4Floodsisp-uv-esImage segmentation model for near-real-time flood extent mapping from Sentinel-2 and Landsat imagery, supporting disaster response and humanitarian aid.Flood DetectionBrowse
MosaicAMLab-UvAICML 2026 probabilistic weather forecasting model — 214M-parameter transformer with block-sparse attention on the HEALPix mesh. At 1.5° resolution, matches or outperforms 0.25° baselines while preserving spectral fidelity; 24-member 10-day forecast in under 12 s on a single H100. ## Blog Posts (2)Weather ForecastingBrowse
OlmoEarth v1 BaseallenaiBase-size OlmoEarth checkpoint — Ai2 foundation model balancing capacity and inference cost for Earth-observation workloads.Earth-Observation Foundation ModelBrowse
OlmoEarth v1 FT — Ecosystem Type Mapping (Base)allenaiOlmoEarth v1 Base fine-tuned for ecosystem-type classification — predicts ecosystem categories from satellite imagery for biodiversity and conservation workflows.Earth-Observation Fine-TuneBrowse
OlmoEarth v1 FT — Forest Loss Driver (Base)allenaiOlmoEarth v1 Base fine-tuned to attribute forest-loss events to underlying drivers (e.g. agriculture, logging, fire) from satellite imagery.Earth-Observation Fine-TuneBrowse
OlmoEarth v1 FT — LFMC (Base)allenaiOlmoEarth v1 Base fine-tuned for Live Fuel Moisture Content (LFMC) prediction — supports wildfire-risk monitoring from satellite imagery.Earth-Observation Fine-TuneBrowse
OlmoEarth v1 FT — Mangrove (Base)allenaiOlmoEarth v1 Base fine-tuned for mangrove ecosystem mapping — supports coastal conservation, blue-carbon accounting, and habitat monitoring.Earth-Observation Fine-TuneBrowse
OlmoEarth v1 LargeallenaiLargest OlmoEarth checkpoint — Ai2 foundation model for satellite imagery and Earth observation, supporting land cover, climate, and environmental monitoring tasks.Earth-Observation Foundation ModelBrowse
OlmoEarth v1 NanoallenaiSmallest OlmoEarth checkpoint — minimal-footprint variant for embedded and high-throughput Earth-observation inference pipelines.Earth-Observation Foundation ModelBrowse
OlmoEarth v1 TinyallenaiCompact OlmoEarth variant — light-weight Earth-observation foundation model suited to large-scale or on-device satellite-imagery inference.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.1 BaseallenaiOlmoEarth v1.1 Base — updated base-size checkpoint of Ai2’s Earth-observation foundation model, with improved pretraining and downstream-task performance over v1.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.1 NanoallenaiOlmoEarth v1.1 Nano — refreshed minimal-footprint OlmoEarth checkpoint for embedded and high-throughput Earth-observation pipelines.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.1 TinyallenaiOlmoEarth v1.1 Tiny — refreshed compact OlmoEarth variant for large-scale or on-device satellite-imagery inference.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.2 BaseallenaiOlmoEarth v1.2 Base — latest base-size checkpoint of Ai2’s Earth-observation foundation model line.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.2 NanoallenaiOlmoEarth v1.2 Nano — latest minimal-footprint OlmoEarth checkpoint for embedded and high-throughput Earth-observation inference.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.2 SmallallenaiOlmoEarth v1.2 Small — new intermediate-scale OlmoEarth checkpoint introduced in the v1.2 family for tasks needing more capacity than Tiny/Nano but less than Base.Earth-Observation Foundation ModelBrowse
OlmoEarth v1.2 TinyallenaiOlmoEarth v1.2 Tiny — latest compact OlmoEarth checkpoint for large-scale or on-device Earth-observation inference.Earth-Observation Foundation ModelBrowse
olmoearth-paper-embeddingsallenaiPrecomputed embeddings released alongside the OlmoEarth paper — drop-in feature set for evaluating Earth-observation foundation-model performance on downstream tasks without re-running the backbone.Earth-Observation EmbeddingsBrowse
rtm_emulationisp-uv-esAtmospheric radiative transfer model emulation dataset for training fast neural surrogates to replace computationally expensive RTM simulations in satellite data processing. ## Models (32)Earth ObservationBrowse
StarCOPisp-uv-esMethane plume detection model for EMIT and AVIRIS hyperspectral imagery, enabling automated identification of point-source greenhouse gas emissions from space.GHG DetectionBrowse
StormCast V1nvidiaMesoscale ML model for convection-allowing weather forecasting at kilometer-scale resolution.Weather PredictionBrowse
SuperIXisp-uv-esExplainable AI super-resolution model for Sentinel-2 imagery, enhancing 10m resolution to finer scales with interpretable uncertainty estimates.Satellite Super-ResolutionBrowse
ThousandWorldsAstroAutomataThousandWorlds — benchmark for emulating exoplanet climates: 1,760 simulations across 5 GCMs, 8 planet parameters, and atmospheric variables on a 32 × 64 × 10 lat-lon-pressure grid, with three nested benchmark subsets, two evaluation protocols, and eight released baseline methods.Exoplanet Climate BenchmarkBrowse
WorldFloodsv2isp-uv-esGlobal flood mapping dataset with Sentinel-1/2 and Landsat imagery paired with flood extent labels across hundreds of flood events worldwide.Earth ObservationBrowse
WxC-Benchnasa-impactStandardised benchmark for evaluating AI models across six atmospheric and earth science tasks including gravity wave parameterisation, turbulence prediction, and hurricane track forecasting.Climate BenchmarkBrowse