(EXPERIMENTAL) NOAA FourCastNet Global Forecast System (FourCastNetGFS) (EXPERIMENTAL)

Managed by NOAA

The FourCastNet Global Forecast System (FourCastNetGFS) is an experimental system set up by the National Centers for Environmental Prediction (NCEP) to produce medium range global forecasts. The model runs on a 0.25 degree latitude-longitude grid (about 28 km) and 13 pressure levels. The model produces forecasts 4 times a day at 00Z, 06Z, 12Z and 18Z cycles. Major atmospheric and surface fields including temperature, wind components, geopotential height, relative humidity and 2 meter temperature and 10 meter winds are available. The products are 6 hourly forecasts up to 10 days. The data format is ...

AI Weather Prediction (AIWP) Model Reforecasts

Managed by Dr. Jacob Radford (jacob.radford@noaa.gov)

Atmospheric Models from Météo-France

Managed by OpenMeteoData

Global and high-resolution regional atmospheric models from Météo-France.

• ARPEGE World covers the entire world at a base horizontal resolution of 0.5° (~55km) between grid points, it predicts weather out up to 114 hours in the future.
• ARPEGE Europe covers Europe and North-Africa at a base horizontal resolution of 0.1° (~11km) between grid points, it predicts weather out up to 114 hours in the future.
• AROME France covers France at a base horizontal resolution of 0.025° (~2.5km) between grid points, it predicts weather out up to 42 hours in the future.
• AROME France HD covers France and neighborhood a

...

CRC-SAS/SISSA historical seasonal and subseasonal forecast database

Managed by SISSA

East Coast Community Ocean Forecast System (ECCOFS)

Managed by NOAA

The East Coast Community Ocean Forecast System (ECCOFS) is a data assimilating ocean analysis and forecast system being developed by Rutgers University, the University of California Santa Cruz, Fathom Science Inc., and the National Ocean Service (NOS) of NOAA for transition to operations at NCEP in 2028. The ECCOFS domain spans the eastern seaboard of North America and Intra-Americas Seas from the Grand Banks of Newfoundland in the north to the mouth of the Orinoco River, Venezuela, in the south. ECCOFS will complement the existing WCOFS (West Coast Operational Forecast System) to achieve complete forecast coverage of U.S. territori...

Finnish Meteorological Institute Weather Radar Data

Managed by Finnish Meteorological Institute

The up-to-date weather radar from the FMI radar network is available as Open Data. The data contain both single radar data along with composites over Finland in GeoTIFF and HDF5-formats. Available composite parameters consist of radar reflectivity (DBZ), rainfall intensity (RR), and precipitation accumulation of 1, 12, and 24 hours. Single radar parameters consist of radar reflectivity (DBZ), radial velocity (VRAD), rain classification (HCLASS), and Cloud top height (ETOP 20). Raw volume data from singe radars are also provided in HDF5 format with ODIM 2.3 conventions. Radar data becomes avail...

GRAF Reforecast

Managed by The Weather Company

A zarr-formatted dataset of 1836 reforecast cases (approx. 5 years) from The Weather Company GRAF (Global high-Resolution Atmospheric Forecasting) model, a version of the National Center for Atmospheric Research (NCAR) Model for Predictions Across Scales (MPAS). GRAF is global, but the configuration for this reforecast had a mesh refinement to approx. 4 km over the US, Caribbean Basin, and Europe, and 15 km elsewhere. This model was designed to run much of its computation on graphical processing units, with this development assisted by NVIDIA. The 1836 cases (approx. 5 years) were generated fr...

Met Office Blended Probabilistic Forecast – Global gridded percentiles

Managed by Met Office

This product provides percentile weather forecasts. The grid resolution is approximately 20km and covers the whole globe. It is produced by the Met Office IMPROVER Blended Probabilistic Forecast system. It is available in NetCDF format.Blended Probabilistic Forecast data is derived from the Met Office's operational NWP (Numerical Weather Prediction) ensembles and nowcasts. To give more reliable predictions, these are then blended and calibrated using the IMPROVER pipeline, and verified using spread–skill and reliability checks.This is 1 of 8 Blended Probabilistic Forecast products publishe...

Met Office Blended Probabilistic Forecast – Global gridded probabilities

Managed by Met Office

This product provides gridded probabilistic weather forecasts. The grid resolution is approximately 20km and covers the whole globe. It is produced by the Met Office IMPROVER Blended Probabilistic Forecast system. It is available in NetCDF format.Blended Probabilistic Forecast data is derived from the Met Office's operational NWP (Numerical Weather Prediction) ensembles and nowcasts. To give more reliable predictions, these are then blended and calibrated using the IMPROVER pipeline, and verified using spread–skill and reliability checks.This is 1 of 8 Blended Probabilistic Forecast produc...

Met Office Blended Probabilistic Forecast – Global spot percentiles

Managed by Met Office

Met Office Blended Probabilistic Forecast – Global spot probabilities

Managed by Met Office

Met Office Blended Probabilistic Forecast – UK Spot Percentiles

Managed by Met Office

Met Office Blended Probabilistic Forecast – UK Spot Probabilities

Managed by Met Office

Met Office Blended Probabilistic Forecast – UK gridded percentiles

Managed by Met Office

This product provides gridded percentile weather forecasts. The grid resolution is approximately 2km and covers the UK and parts of Western Europe. It is produced by the Met Office IMPROVER Blended Probabilistic Forecast system. It is available in NetCDF format.Blended Probabilistic Forecast data is derived from the Met Office's operational NWP (Numerical Weather Prediction) ensembles and nowcasts. To give more reliable predictions, these are then blended and calibrated using the IMPROVER pipeline, and verified using spread–skill and reliability checks.This is 1 of 8 Blended Probabilistic ...

Met Office Blended Probabilistic Forecast – UK gridded probabilities

Managed by Met Office

This product provides gridded probabilistic weather forecasts. The grid resolution is approximately 2km and covers the UK and parts of Western Europe. It is produced by the Met Office IMPROVER Blended Probabilistic Forecast system. It is available in NetCDF format.Blended Probabilistic Forecast data is derived from the Met Office's operational NWP (Numerical Weather Prediction) ensembles and nowcasts. To give more reliable predictions, these are then blended and calibrated using the IMPROVER pipeline, and verified using spread–skill and reliability checks.This is 1 of 8 Blended Probabilist...

Met Office Global Deterministic 10km on a 2-year rolling archive

Managed by Met Office

Met Office Global Ensemble Prediction System (MOGREPS-G) on a 30-day rolling archive

Managed by Met Office

Met Office Global Ocean model on a 2-year rolling archive

Managed by Met Office

The Global Ocean component of the Met Office Global Coupled Atmosphere-Land-Ocean-Ice system which has been running in operations since May 2022. The system provides a global physical analysis and coupled forecast products providing 3D daily mean fields of temperature and salinity, zonal and meridional velocities; 2D daily mean fields of sea surface height, bottom temperature, mixed layer depth, sea ice fraction, sea ice thickness and sea ice zonal and meridional velocities; and instantaneous hourly fields for sea surface height, sea surface temperature and surface currents. The Met Office Glo...

Met Office Global Wave model on a 2-year rolling archive

Managed by Met Office

The Met Office runs global wave forecast models to support marine safety and operational decision making. Met Office configurations are developed to be run using the community wave model WAVEWATCH IIITM. The global wave configuration is designed to generate accurate forecasts for open waters of the world’s oceans and larger seas. The Met Office wave models are forced using wind data from the Met Office Global Atmospheric Hi-Res Model. The global wave model is run to provide a five day outlook for wave characteristics defining height, period and direction of waves within a given sea-state. The ...

Met Office Global and Regional Ensemble Prediction System - UK (MOGREPS-UK) on a 30-day rolling archive

Managed by Met Office

Met Office NWS Ocean model on a 2-year rolling archive

Managed by Met Office

The Northwest European continental shelf physical ocean model predicts temperature, salinity and circulation for waters surrounding the UK. Ocean physics analysis provides a 6-day forecast for the North-West European Atlantic shelf at 1.5km resolution:

• 33 depth levels
  
• Currents
  
• Salinity
  
• Temperature
  
• Mixing Layer Thickness

Met Office NWS Wave model on a 2-year rolling archive

Managed by Met Office

Northwest European continental shelf regional wave model predicting sea-state and various sea and swell wave characteristics for waters surrounding the UK.The Met Office runs global and regional wave forecast models to support marine safety and operational decision making. Met Office configurations are developed to be run using the community wave model WAVEWATCH IIITM. The global wave configuration is designed to generate accurate forecasts for open waters of the world's oceans and larger seas, whilst regional configurations are run in order to improve accuracy closer to the coast. The Met...

Met Office UK Deterministic (UKV)2km on a 2-year rolling archive

Managed by Met Office

Met Office UK Land Surface Observations

Managed by Met Office

• -15 (West)
• 48 (South)
• 5 (East)
• 62 (North) On average they are about 40km apart,

...

Met Office UK Marine Observations

Managed by Met Office

NEXRAD on AWS

Managed by Unidata

Real-time and archival data from the Next Generation Weather Radar (NEXRAD) network....

NOAA Climate Forecast System (CFS)

Managed by NOAA

The Climate Forecast System (CFS) is a model representing the global interaction between Earth's oceans, land, and atmosphere. Produced by several dozen scientists under guidance from the National Centers for Environmental Prediction (NCEP), this model offers hourly data with a horizontal resolution down to one-half of a degree (approximately 56 km) around Earth for many variables. CFS uses the latest scientific approaches for taking in, or assimilating, observations from data sources including surface observations, upper air balloon observations, aircraft observations, and satellite obser...

NOAA Global Ensemble Forecast System (GEFS)

Managed by NOAA

The Global Ensemble Forecast System (GEFS), previously known as the GFS Global ENSemble (GENS), is a weather forecast model made up of 21 separate forecasts, or ensemble members. The National Centers for Environmental Prediction (NCEP) started the GEFS to address the nature of uncertainty in weather observations, which is used to initialize weather forecast models. The GEFS attempts to quantify the amount of uncertainty in a forecast by generating an ensemble of multiple forecasts, each minutely different, or perturbed, from the original observations. With global coverage, GEFS is produced fo...

NOAA Global Ensemble Forecast System (GEFS) Re-forecast

Managed by NOAA

NOAA has generated a multi-decadal reanalysis and reforecast data set to accompany the next-generation version of its ensemble prediction system, the Global Ensemble Forecast System, version 12 (GEFSv12). Accompanying the real-time forecasts are “reforecasts” of the weather, that is, retrospective forecasts spanning the period 2000-2019. These reforecasts are not as numerous as the real-time data; they were generated only once per day, from 00 UTC initial conditions, and only 5 members were provided, with the following exception. Once weekly, an 11-member reforecast was generated, and these ex...

NOAA Global Forecast System (GFS)

Managed by NOAA

NOAA Global Forecast System (GFS) netCDF Formatted Data

Managed by NOAA

The Global Forecast System (GFS) is a weather forecast model produced by the National Centers for Environmental Prediction (NCEP). Dozens of atmospheric and land-soil variables are available through this dataset, from temperatures, winds, and precipitation to soil moisture and atmospheric ozone concentration. The GFS data files stored here can be immediately used for OAR/ARL’s NOAA-EPA Atmosphere-Chemistry Coupler Cloud (NACC-Cloud) tool, and are in a Network Common Data Form (netCDF), which is a very common format used across the scientific community. These particular GFS files contain a comprehensive number of global atmosphere/land variables at a relatively high spati</>...

NOAA Global Surface Summary of Day

Managed by NOAA

Global Surface Summary of the Day is derived from The Integrated Surface Hourly (ISH) dataset. The ISH dataset includes global data obtained from the USAF Climatology Center, located in the Federal Climate Complex with NCDC. The latest daily summary data are normally available 1-2 days after the date-time of the observations used in the daily summaries. The online data files begin with 1929 and are at the time of this writing at the Version 8 software level. Over 9000 stations' data are typically available. The daily elements included in the dataset (as available from each station) are:
Mean t...

NOAA HYSPLIT-compatible meteorological data archives

Managed by NOAA

The HYSPLIT model is a complete system for computing simple air parcel trajectories, as well as complex transport, dispersion, chemical transformation, and deposition simulations. HYSPLIT continues to be one of the most extensively used atmospheric transport and dispersion models in the atmospheric sciences community. A common application is a back trajectory analysis to determine the origin of air masses and establish source-receptor relationships. HYSPLIT has also been used in a variety of simulations describing the atmospheric transport, dispersion, and deposition of pollutants and hazardou...

NOAA High-Resolution Rapid Refresh (HRRR) Model

Managed by NOAA

NOAA Hurricane Analysis and Forecast System (HAFS)

Managed by NOAA

1. To improve the HAFS. The HAFS is NOAA’s next-generation multi-scale numerical model, with data assimilation package and ocean coupling, which will provide an op

...

NOAA Integrated Surface Database (ISD)

Managed by NOAA

The Integrated Surface Database (ISD) consists of global hourly and synoptic observations compiled from numerous sources into a gzipped fixed width format. ISD was developed as a joint activity within Asheville's Federal Climate Complex. The database includes over 35,000 stations worldwide, with some having data as far back as 1901, though the data show a substantial increase in volume in the 1940s and again in the early 1970s. Currently, there are over 14,000 "active" stations updated daily in the database. The total uncompressed data volume is around 600 gigabytes; however, it ...

NOAA Multi-Radar/Multi-Sensor System (MRMS)

Managed by NOAA

NOAA NASA Joint Archive (NNJA) of Observations for Earth System Reanalysis

Managed by NOAA

The NOAA NASA Joint Archive (NNJA) of Observations for Earth System Reanalysis is a curated joint observation archive containing Earth system data from 1979 to present prepared by teams at NOAA's Physical Sciences Laboratory and NASA's Global Modeling and Assimilation Office. The goal is to foster collaboration across organizations and develop the ability for direct comparison of Earth System reanalysis results. Providing a singular dataset for observation input use will allow reanalyses to be compared on their unique development qualities by removing the variation from using different...

NOAA National Air Quality Forecast Capability (NAQFC) Regional Model Guidance

Managed by NOAA

The National Air Quality Forecasting Capability (NAQFC) dataset contains model-generated air quality (AQ) forecast guidance from three different prediction systems. The first system is a coupled weather and atmospheric chemistry numerical forecast model, known as the Air Quality Model (AQM). It is used to produce forecast guidance for ozone (O3) and particulate matter that is less than or equal to 2.5 micrometers in diameter (PM2.5). Prior to May 14, 2024, AQM predictions were derived using the EPA’s Community Multiscale Air Quality (CMAQ) model, driven by meteorological fields from NCEP’s operational weather forecast models, ...

NOAA National Blend of Models (NBM)

Managed by NOAA

The National Blend of Models (NBM) is a nationally consistent and skillful suite of calibrated forecast guidance based on a blend of both NWS and non-NWS numerical weather prediction model data and post-processed model guidance. The goal of the NBM is to create a highly accurate, skillful and consistent starting point for the gridded forecast.

NOAA National Blend of Models (NBM) Parallel

Managed by NOAA

The National Blend of Models (NBM) is a nationally consistent and skillful suite of calibrated forecast guidance based on a blend of both NWS and non-NWS numerical weather prediction model data and post-processed model guidance. The goal of the NBM is to create a highly accurate, skillful and consistent starting point for the gridded forecast. This dataset contains data from the current parallel version of the NBM which is a test version, featuring many changes, that is a candidate to be implemented into operations following a careful vetting process.

NOAA National Digital Forecast Database (NDFD)

Managed by NOAA

The National Digital Forecast Database (NDFD) is a suite of gridded forecasts of sensible weather elements (e.g., cloud cover, maximum temperature). Forecasts prepared by NWS field offices working in collaboration with the National Centers for Environmental Prediction (NCEP) are combined in the NDFD to create a seamless mosaic of digital forecasts from which operational NWS products are generated. The most recent data is under the opnl and expr prefixes. A copy is also placed under the wmo prefix. The wmo prefix is structured like so: wmo/&lt;parameter&gt;/&lt;year&gt;/&...

NOAA North American Mesoscale Forecast System (NAM)

Managed by NOAA

The North American Mesoscale Forecast System (NAM) is one of the National Centers For Environmental Prediction’s (NCEP) major models for producing weather forecasts. NAM generates multiple grids (or domains) of weather forecasts over the North American continent at various horizontal resolutions. Each grid contains data for dozens of weather parameters, including temperature, precipitation, lightning, and turbulent kinetic energy. NAM uses additional numerical weather models to generate high-resolution forecasts over fixed regions, and occasionally to follow significant weather events like hur...

NOAA North American Multi-Model Ensemble (NMME)

Managed by NOAA

NOAA Rapid Refresh (RAP)

Managed by NOAA

The Rapid Refresh (RAP) is a NOAA/NCEP operational weather prediction system comprised primarily of a numerical forecast model and analysis/assimilation system to initialize that model. It covers North America and is run with a horizontal resolution of 13 km and 50 vertical layers. The RAP was developed to serve users needing frequently updated short-range weather forecasts, including those in the US aviation community and US severe weather forecasting community. The model is run for every hour of the day; it is integrated to 51 hours for the 03/09/15/21 UTC cycles and to 21 hours for every ot...

NOAA Real-Time Mesoscale Analysis (RTMA) / Unrestricted Mesoscale Analysis (URMA)

Managed by NOAA

NOAA Severe Weather Data Inventory (SWDI)

Managed by NOAA

The Storm Events Database is an integrated database of severe weather events across the United States from 1950 to this year, with information about a storm event's location, azimuth, distance, impact, and severity, including the cost of damages to property and crops. It contains data documenting: The occurrence of storms and other significant weather phenomena having sufficient intensity to cause loss of life, injuries, significant property damage, and/or disruption to commerce. Rare, unusual, weather phenomena that generate media attention, such as snow flurries in South Florida or the S...

NOAA Unified Forecast System (UFS) Global Ensemble Forecast System (GEFS) Version 13 Replay

Managed by NOAA

NOAA Unified Forecast System (UFS) Hierarchical Testing Framework (HTF)

Managed by NOAA

NOAA Unified Forecast System (UFS) Land Data Assimilation (DA) System

Managed by NOAA

The Unified Forecast System (UFS) is a community-based, coupled, comprehensive Earth modeling system. It supports "multiple applications" covering different forecast durations and spatial domains. The Land Data Assimilation (DA) System is an offline version of the Noah Multi-Physics (Noah-MP) land surface model (LSM) used in the UFS Weather Model (WM). Its data assimilation framework uses "[Joint Effort for Data assimilation Integration - JEDI] (https://www.jcsda.org/jcsda-project-jedi)" software. The offline Noah-MP LSM is a stand-alone, uncoupled model used to execute land surface simu</></>...

NOAA Unified Forecast System (UFS) Marine Reanalysis: 1979-2019

Managed by NOAA

The NOAA UFS Marine Reanalysis is a global sea ice ocean coupled reanalysis product produced by the marine data assimilation team of the UFS Research-to-Operation (R2O) project. Underlying forecast and data assimilation systems are based on the UFS model prototype version-6 and the Next Generation Global Ocean Data Assimilation System (NG-GODAS) release of the Joint Effort for Data assimilation Integration (JEDI) Sea Ice Ocean Coupled Assimilation (SOCA). Covering the 40 year reanalysis time period from 1979 to 2019, the data atmosphere option of the UFS coupled global atmosphere ocean sea ice (DAT...

NOAA Unified Forecast System Subseasonal to Seasonal Prototypes

Managed by NOAA

The Unified Forecast System Subseasonal to Seasonal prototypes consist of reforecast data from the UFS atmosphere-ocean coupled model experimental prototype version 5, 6, 7, and 8 produced by the Medium Range and Subseasonal to Seasonal Application team of the UFS-R2O project. The UFS prototypes are the first dataset released to the broader weather community for analysis and feedback as part of the development of the next generation operational numerical weather prediction system from NWS. The datasets includes all the major weather variables for atmosphere, land, ocean, sea ice, and ocean wav...

NOAA Unified Forecast System Weather Model (UFS-WM) Regression Tests

Managed by NOAA

The Unified Forecast System (UFS) is a community-based, coupled, comprehensive Earth Modeling System. The ufs-weather-model (UFS-WM) is the model source of the UFS for NOAA’s operational numerical weather prediction applications. The UFS-WM Regression Test (RT) is the testing software to ensure that previously developed and tested capabilities in UFS-WM still work after code changes are integrated into the system. It is required that UFS-WM RTs are performed successfully on the required Tier-1 platforms whenever code changes are made to the UFS-WM. The results of the UFS-WM RTs are summarized i...

Planette C3S Seasonal Forecast Data

Managed by Planette.ai

The C3S seasonal forecast dataset provides global, daily, probabilistic forecasts of the Earth system, enabling users to assess the likelihood of future climate states. These forecasts are particularly valuable for studying slowly evolving climate patterns such as El Niño, La Niña, and the North Atlantic Oscillation (NAO), which can be predicted with greater skill than the chaotic atmosphere. This dataset is derived from the Copernicus Climate Change Service (C3S) archive and includes SEAS5 hindcasts (1981-2016) and forecasts (2017-present) at 1°x1° global resolution. More models from the...

Planette ECMWF IFS S2S Reforecast Data

Managed by Planette.ai

Global IFS-CY49R1 S2S reforecasts: 10-member ensemble, 46-day lead, 1.5° atmosphere/surface and 1° ocean, 2006–2025.This dataset is derived from the ECMWF Data Store (S2S on-the-fly reforecasts) and published by Planette as a single cloud-native Icechunk/Zarr data cube at s3://planette-ifs-46-day/reforecasts for efficient analysis with xarray.

Planette ERA5 Archive

Managed by Planette.ai

The ERA5 archive provides a comprehensive record of global weather and climate from 1940 to present, with multiple temporal aggregations for flexible analysis. This dataset is derived from the ECMWF/Copernicus ERA5 reanalysis and includes daily means, 7-day rolling means, and monthly/seasonal aggregations at 0.25°×0.25° global resolution. The Planette ERA5 archive stores this data in cloud-native format (Zarr with icechunk) for efficient access and analysis.The dataset includes essential atmospheric variables at both surface and pressure levels, enabling a wide range of climate analyses, ...

SMN Hi-Res Weather Forecast over Argentina

Managed by SMN

SondeHub Radiosonde Telemetry

Managed by SondeHub

SondeHub Radiosonde telemetry contains global radiosonde (weather balloon) data captured by SondeHub from our participating radiosonde_auto_rx receiving stations. radiosonde_auto_rx is a open source project aimed at receiving and decoding telemetry from airborne radiosondes using software-defined-radio techniques, enabling study of the telemetry and sometimes recovery of the radiosonde itself. Currently 313 receiver stations are providing data for an average of 384 radiosondes a day. The data within this repository contains received telemetry frames, including radiosonde type, gps position, a...

Storm EVent ImageRy (SEVIR)

Managed by Mark S. Veillette

Collection of spatially and temporally aligned GOES-16 ABI satellite imagery, NEXRAD radar mosaics, and GOES-16 GLM lightning detections.

All-Sky Data | Wide-field Infrared Survey Explorer (WISE)

Managed by NASA/IPAC Infrared Science Archive (IRSA) at Caltech

The Wide-field Infrared Survey Explorer (WISE) was a NASA Medium Explorer satellite in low-Earth orbit that conducted an all-sky astronomical imaging survey over four infrared bands from 2010-2011. The All-Sky Release includes all data taken during the WISE full cryogenic mission phase, 7 January 2010 to 6 August 2010, in the 3.4, 4.6, 12, and 22 micron bands (i.e., W1, W2, W3, W4) that were processed with improved calibrations and reduction algorithms.

CAFE60 reanalysis

Managed by CSIRO

The CSIRO Climate retrospective Analysis and Forecast Ensemble system: version 1 (CAFE60v1) provides a large ensemble retrospective analysis of the global climate system from 1960 to present with sufficiently many realizations and at spatio-temporal resolutions suitable to enable probabilistic climate studies. Using a variant of the ensemble Kalman filter, 96 climate state estimates are generated over the most recent six decades. These state estimates are constrained by monthly mean ocean, atmosphere and sea ice observations such that their trajectories track the observed state while enabling ...

CAM6 Data Assimilation Research Testbed (DART) Reanalysis: Cloud-Optimized Dataset

Managed by National Center for Atmospheric Research

This is a cloud-hosted subset of the CAM6+DART (Community Atmosphere Model version 6 Data Assimilation Research Testbed) Reanalysis dataset. These data products are designed to facilitate a broad variety of research using the NCAR CESM 2.1 (National Center for Atmospheric Research's Community Earth System Model version 2.1), including model evaluation, ensemble hindcasting, data assimilation experiments, and sensitivity studies. They come from an 80 member ensemble reanalysis of the global troposphere and stratosphere using DART and CAM6. The data products represent states of the atmospher...

CESM-HR

Managed by TAMU

This dataset provides several global fields describing the state of atmosphere, ocean, land and ice from a high-resolution (0.1o for the ocean/ice models 0.25o for the land/atmosphere models) numerical earth system model, the Community Earth System Model (CESM, https://www.cesm.ucar.edu/). Texas A&M University (TAMU) and National Center for Atmospheric Research together with international partners collaboratively carried out a large set of high-resolution climate simulations, including a 500-year long preindustrial control simulation (PI-CTRL) described here. The CESM uses dynamic equation</>...

CarbonPDF

Managed by Pittcps lab

A carbon question-answering (QA) dataset specifically designed to facilitate the extraction and analysis of data from real-world carbon reports of computing products. The dataset features annotated metadata, a variety of numerical reasoning tasks, and structured derivations to ensure accurate processing of fragmented and inconsistent information.

Chalmers Cloud Ice Climatology

Managed by Geoscience and Remote Sensing at Chalmers University of Technology

The Chalmers Cloud Ice Climatology (CCIC) is a novel, deep-learning-based climate record of ice-particle concentrations in the atmosphere. CCIC results are available at high spatial and temporal resolution (0.07° / 3 h from 1983, 0.036° / 30 min from 2000) and thus ideally suited for evaluating high-resolution weather and climate models or studying individual weather systems.

Cloud to Street - Microsoft Flood and Clouds Dataset

Managed by Radiant Earth Foundation

This dataset consists of chips of Sentinel-1 and Sentinel-2 satellite data. Each Sentinel-1 chip contains a corresponding label for water and each Sentinel-2 chip contains a corresponding label for water and clouds. Data is stored in folders by a unique event identifier as the folder name. Within each event folder there are subfolders for Sentinel-1 (s1) and Sentinel-2 (s2) data. Each chip is contained in its own sub-folder with the folder name being the source image id, followed by a unique chip identifier consisting of a hyphenated set of 5 numbers. All bands of the satellite data, as well a...

Community Earth System Model Large Ensemble (CESM LENS)

Managed by National Center for Atmospheric Research

The Community Earth System Model (CESM) Large Ensemble Numerical Simulation (LENS) dataset includes a 40-member ensemble of climate simulations for the period 1920-2100 using historical data (1920-2005) or assuming the RCP8.5 greenhouse gas concentration scenario (2006-2100), as well as longer control runs based on pre-industrial conditions. The data comprise both surface (2D) and volumetric (3D) variables in the atmosphere, ocean, land, and ice domains. The total data volume of the original dataset is ~500TB, which has traditionally been stored as ~150,000 individual CF/NetCDF files on disk o...

Community Earth System Model v2 Large Ensemble (CESM2 LENS)

Managed by National Center for Atmospheric Research

The US National Center for Atmospheric Research partnered with the IBS Center for Climate Physics in South Korea to generate the CESM2 Large Ensemble which consists of 100 ensemble members at 1 degree spatial resolution covering the period 1850-2100 under CMIP6 historical and SSP370 future radiative forcing scenarios. Data sets from this ensemble were made downloadable via the Climate Data Gateway on June 14th, 2021. NCAR has copied a subset (currently ~500 TB) of CESM2 LENS data to Amazon S3 as part of the AWS Public Datasets Program. To optimize for large-scale analytics we have represented ...

Coupled Model Intercomparison Project Phase 5 (CMIP5) University of Wisconsin-Madison Probabilistic Downscaling Dataset

Managed by NOAA

Defense Meteorology Satellite Program (DMSP) Auroral Particle Flux

Managed by Space Weather Technology, Research and Education Center (TREC) at University of Colorado, Boulder

The United States Air Force (USAF) Defense Meteorological Satellite Program (DMSP) SSJ precipitating particle instrument measures in-situ total flux and energy distribution of electrons and ions at low earth orbit. These precipitating particles are of interest for space weather operations and research, in part because they produce aurora during normal and very strong geomagnetic storms. This dataset contains both sensor-level raw data (as detailed in Redmon et al. 2017) and a high-level machine-learning-ready data product.

Downscaled Climate Data for Alaska (v1.1, August 2023)

Managed by Scenarios Network for Alaska + Arctic Planning at the International Arctic Research Center, University of Alaska, Fairbanks

This dataset contains historical and projected dynamically downscaled climate data for the State of Alaska and surrounding regions at 20km spatial resolution and hourly temporal resolution. Select variables are also summarized into daily resolutions. This data was produced using the Weather Research and Forecasting (WRF) model (Version 3.5). We downscaled both ERA-Interim historical reanalysis data (1979-2015) and both historical and projected runs from 2 GCM’s from the Coupled Model Inter-comparison Project 5 (CMIP5): GFDL-CM3 and NCAR-CCSM4 (historical run: 1970-2005 and RCP 8.5: 2006-2100)....

ECMWF real-time forecasts

Managed by European Centre for Medium-Range Weather Forecasts

These products are a subset of the ECMWF real-time forecast data and are made available to the public free of charge. They are based on the medium-range (high-resolution and ensembles) forecast models. Note: The ECMWF Open Data Portal provides a rolling archive (most recent forecast runs), while the AWS replica bucket is updated as new data are published and may retain older data conventions/versions over time.

EMBER Modeling Files

Managed by U.S. Environmental Protection Agency

These data are being released to support states in wildfire Exceptional Events demonstrations. EPA released fire impacts modeling data for the 2023 fire season called the Expedited Modeling of Burn Events Results (EMBER) in December 2024. EPA has updated the EMBER Dataset Tool on the EPA website to include summary tables and graphics four new years of EMBER data: 2021, 2022, 2024, and 2025. As part of the effort to update the EMBER data, we are posting the full model input and output files publicly here to aid state, local, and Tribal air agencies in constructing any potential Exceptional Even...

EPA Dynamically Downscaled Ensemble (EDDE) Version 1

Managed by U.S. Environmental Protection Agency (https://www.epa.gov)

The data are a subset of the EPA Dynamically Downscaled Ensemble (EDDE), Version 1. EDDE is a collection of physics-based modeled data that represent 3D atmospheric conditions for historical and future periods under different scenarios. The EDDE Version 1 datasets cover the contiguous United States at a horizontal grid spacing of 36 kilometers at hourly increments. EDDE Version 1 includes simulations that have been dynamically downscaled from multiple global climate models (GCMs) under both mid- and high-emission scenarios from the Fifth Coupled Model Intercomparison Project (CMIP5) using the...

EPA Dynamically Downscaled Ensemble (EDDE) Version 2

Managed by U.S. Environmental Protection Agency (https://www.epa.gov)

The data are a subset of the EPA Dynamically Downscaled Ensemble (EDDE), Version 2. EDDE is a collection of physics-based modeled data that represent 3D atmospheric conditions for historical and future periods under different scenarios. The EDDE Version 2 datasets cover the contiguous United States at a horizontal grid spacing of 12 kilometers at hourly increments. EDDE Version 2 includes simulations that have been dynamically downscaled from multiple global climate models (GCMs) under multiple emission scenarios from the Sixth Coupled Model Intercomparison Project (CMIP6) using the Wea...

Earth Radio Occultation

Managed by Verisk Atmospheric and Environmental Research, Inc.

This is an updating archive of radio occultation (RO) data using the transmitters of the Global Navigation Satellite Systems (GNSS) as generated and processed by the COSMIC DAAC (ucar), the Jet Propulsion Laboratory (jpl) of the California Institute of Technology, and the Radio Occultation Meteorology Satellite Application Facility (romsaf). The contributions for ucar and romsaf are currently active.This dataset is funded by the NASA Earth Science Data Systems and the Advancing Collaborative Connections for Earth System Science (ACCESS) 2019 program.

Global Carbon Budget Data

Managed by Global Carbon Budget Office at the University of Exeter, UK

The Global Carbon Budget (GCB) is recognised globally as the most comprehensive report on global carbon emissions and sinks. This dataset, updated every year, includes estimates of land and ocean carbon fluxes from the suite of models used in the report.

High Resolution Downscaled Climate Data for Southeast Alaska

Managed by Scenarios Network for Alaska + Arctic Planning at the International Arctic Research Center, University of Alaska, Fairbanks

This dataset contains historical and projected dynamically downscaled climate data for the Southeast region of the State of Alaska at 1 and 4km spatial resolution and hourly temporal resolution. Select variables are also summarized into daily resolutions. This data was produced using the Weather Research and Forecasting (WRF) model (Version 4.0). We downscaled both Climate Forecast System Reanalysis (CFSR) historical reanalysis data (1980-2019) and both historical and projected runs from two GCM’s from the Coupled Model Inter-comparison Project 5 (CMIP5): GFDL-CM3 and NCAR-CCSM4 (historical ru...

Hybrid statistical-dynamic downscaling based on multi-model ensembles in Southeast Asia

Managed by PREP-NexT Lab

GCMs under CMIP6 have been widely used to investigate climate change impacts and put forward associated adaptation and mitigation strategies. However, the relatively coarse spatial resolutions (usually 100~300km) preclude their direct applications at regional scales, which are exactly where the analysis (e.g., hydrological model simulation) is performed. To bridge this gap, a typical approach is to ‘refine’ the information from GCMs through regional climate downscaling experiments, which can be conducted statistically, dynamically, or a combination thereof. Statistical downscaling establishes ...

Icechunk ERA5

Managed by Earthmover

Indiana Statewide Digital Aerial Imagery Catalog

Managed by Indiana Geographic Information Office

The State of Indiana Geographic Information Office and IOT Office of Technology manage a series of digital orthophotography dating back to 2005. Every year's worth of imagery is available as Cloud Optimized GeoTIFF (COG) files, original GeoTIFF, and other compressed deliverables such as ECW and MrSID. Additionally, each imagery year is organized into a tile grid scheme covering the entire geography of Indiana. All years of imagery are tiled from a 5,000 ft grid or sub tiles depending upon the resolution of the imagery. The naming of the tiles reflects the lower left coordinate from the...

Indiana Statewide Leaf-on Digital Aerial Imagery Catalog

Managed by Indiana Geographic Information Office

The State of Indiana Geographic Information Office (GIO) provides a statewide, enhanced NAIP, high-resolution 6-in (15 cm) leaf-on digital orthoimagery catalog. Captured during the summer of 2025, this imagery features an enhanced horizontal accuracy. Primary deliverables are hosted as standard GeoTIFF (.tif), JPEG, and highly performant Cloud Optimized GeoTIFF (COG) files to optimize cloud-native streaming and raster rendering.Managed by the Indiana Geographic Information Office (IGIO) and integrated directly into the State’s open data imagery repository on AWS, this public-domain dataset is ...

Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE)

Managed by The Alaska Satellite Facility (ASF)

The Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) project has a singular mission: to accelerate ice sheet and glacier research by producing globally comprehensive, high resolution, low latency, temporally dense, multi-sensor records of land ice and ice shelf change while minimizing barriers between the data and the user. ITS_LIVE data currently consists of NetCDF Level 2 scene-pair ice flow products posted to a standard 120 m grid derived from Landsat 4/5/7/8/9, Sentinel-2 optical scenes, and Sentinel-1 SAR scenes. We have processed all land-ice intersecting image pai...

Met Office UK Earth System Model (UKESM1) ARISE-SAI geoengineering experiment data

Managed by Met Office

Data from the UK Earth System Model (UKESM1) ARISE-SAI experiment. The UKESM1 ARISE-SAI experiment explores the impacts of geoengineering via the injection of sulphur dioxide (SO2) into the stratosphere in order to keep global mean surface air temperature near 1.5 C above the pre-industrial climate. Data includes a five member ensemble of simulations with SO2 injection plus a five member ensemble of SSP2-4.5 simulations from CMIP6 to serve as a reference data set

NA-CORDEX - North American component of the Coordinated Regional Downscaling Experiment

Managed by National Center for Atmospheric Research

The NA-CORDEX dataset contains regional climate change scenario data and guidance for North America, for use in impacts, decision-making, and climate science. The NA-CORDEX data archive contains output from regional climate models (RCMs) run over a domain covering most of North America using boundary conditions from global climate model (GCM) simulations in the CMIP5 archive. These simulations run from 1950–2100 with a spatial resolution of 0.22°/25km or 0.44°/50km. This AWS S3 version of the data includes selected variables converted to Zarr format from the original NetCDF. Only daily data a...

NASA Earth Exchange (NEX) Data Collection

Managed by NASA

A collection of downscaled climate change projections, derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) [Taylor et al. 2012] and across the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs) [Meinshausen et al. 2011]. The NASA Earth Exchange group maintains the NEX-DCP30 (CMIP5), NEX-GDDP (CMIP5), and LOCA (CMIP5).NOTE: The S3 Bucket location for this dataset changed on 5/6/2026

NASA Earth Exchange Global Daily Downscaled Projections (NEX-GDDP-CMIP6)

Managed by NASA

The NEX-GDDP-CMIP6 dataset is comprised of global downscaled climate scenarios derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 6 (CMIP6) and across two of the four "Tier 1" greenhouse gas emissions scenarios known as Shared Socioeconomic Pathways (SSPs). The CMIP6 GCM runs were developed in support of the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR6). This dataset includes downscaled projections from ScenarioMIP model runs for which daily scenarios were produced and distributed...

NOAA Atmospheric Climate Data Records

Managed by NOAA

NOAA Climate Resilience Information System CONUS Thresholds

Managed by NOAA

NOAA Fundamental Climate Data Records (FCDR)

Managed by NOAA

NOAA Global Historical Climatology Network Daily (GHCN-D)

Managed by NOAA

NOAA Global Historical Climatology Network- Hourly (GHCN-H)

Managed by NOAA

NOAA Historical Maps and Charts

Managed by NOAA

Historical Charts are not for Navigation. The collection primarily consists of historic charts and maps produced by NOAA's Coast Survey and its predecessors, especially the U.S. Coast and Geodetic Survey and the U.S. Lake Survey (previously under the Department of War). The collection also includes bathymetric maps, land sketches, Civil War battle maps, aeronautical charting from the 1930s to the 1950s, and other drawings and photographs.

NOAA Oceanic Climate Data Records

Managed by NOAA

NOAA Space Weather Forecast and Observation Data

Managed by NOAA

Space weather forecast and observation data is collected and disseminated by NOAA’s Space Weather Prediction Center (SWPC) in Boulder, CO. SWPC produces forecasts for multiple space weather phenomenon types and the resulting impacts to Earth and human activities. A variety of products are available that provide these forecast expectations, and their respective measurements, in formats that range from detailed technical forecast discussions to NOAA Scale values to simple bulletins that give information in laymen's terms. Forecasting is the prediction of future events, based on analysis and...

NOAA Terrestrial Climate Data Records

Managed by NOAA

NOAA U.S. Climate Gridded Dataset (NClimGrid)

Managed by NOAA

The NOAA Monthly U.S. Climate Gridded Dataset (NClimGrid) consists of four climate variables derived from the GHCN-D dataset: maximum temperature, minimum temperature, average temperature and precipitation. Each file provides monthly values in a 5x5 lat/lon grid for the Continental United States. Data is available from 1895 to the present. On an annual basis, approximately one year of "final" nClimGrid will be submitted to replace the initially supplied "preliminary" data for the same time period. Users should be sure to ascertain which level of data is required for their resear...

NOAA U.S. Climate Normals

Managed by NOAA

NOAA Whole Atmosphere Model-Ionosphere Plasmasphere Electrodynamics (WAM-IPE) Forecast System (WFS)

Managed by NOAA

The coupled Whole Atmosphere Model-Ionosphere Plasmasphere Electrodynamics (WAM-IPE) Forecast System (WFS) is developed and maintained by the NOAA Space Weather Prediction Center (SWPC). The WAM-IPE model provides a specification of ionosphere and thermosphere conditions with real-time nowcasts and forecasts up to two days in advance in response to solar, geomagnetic, and lower atmospheric forcing. The WAM is an extension of the Global Forecast System (GFS) with a spectral hydrostatic dynamical core utilizing an enthalpy thermodynamic variable to 150 vertical levels on a hybrid pressure-sigma grid, with a model t...

NSF NCAR Curated ECMWF Reanalysis 5 (ERA5)

Managed by NSF National Center for Atmospheric Research

NSF NCAR is providing a NetCDF-4 structured version of the 0.25 degree atmospheric ECMWF Reanalysis 5 (ERA5) to the AWS ODSP. ERA5 is produced using high-resolution forecasts (HRES) at 31 kilometer resolution (one fourth the spatial resolution of the operational model) and a 62 kilometer resolution ten member 4D-Var ensemble of data assimilation (EDA) in CY41r2 of ECMWF's Integrated Forecast System (IFS) with 137 hybrid sigma-pressure (model) levels in the vertical, up to a top level of 0.01 hPa. Atmospheric data on these levels are interpolated to 37 pressure levels (the same levels as in...

New Zealand Elevation

Managed by Toitū Te Whenua Land Information New Zealand

The New Zealand Elevation dataset consists of New Zealand's publicly owned digital elevation models and digital surface models, which are freely available to use under an open licence. The dataset contains 1m resolution grids derived from LiDAR data. Point clouds are not included in the initial release.All of the elevation files are Cloud Optimised GeoTIFFs using LERC compression for the main grid and LERC compression with lower max_z_error for the overviews. These elevation files are accompanied by ...

New Zealand Imagery

Managed by Toitū Te Whenua Land Information New Zealand

The New Zealand Imagery dataset consists of New Zealand's publicly owned aerial and satellite imagery, which is freely available to use under an open licence. The dataset ranges from the latest high-resolution aerial imagery down to 5cm in some urban areas to lower resolution satellite imagery that provides full coverage of mainland New Zealand, Chathams and other offshore islands. It also includes historical imagery that has been scanned from film, orthorectified (removing distortions) and georeferenced (correctly positioned) to create a unique and crucial record of changes to the New Zea...

Nighttime-Fire-Flare

Managed by USRA and NASA Black Marble

Detection of nighttime combustion (fire and gas flaring) from daily top of atmosphere data from NASA's Black Marble VNP46A1 product using VIIRS Day/Night Band and VIIRS thermal bands.

OS-Climate Physrisk

Managed by OS-Climate

Collection of adapted and derived hazard indicator datasets optimized for running physical climate risk analyses.

OSAP 2022 Modeling Platform

Managed by U.S. Environmental Protection Agency (https://www.epa.gov)

The data are part of the 2022 Modeling Platform used to support regulatory actions and technical analyses conducted by the EPA's Office of State Air Partnerships (OSAP). Specifically, this data includes Weather Research and Forecasting Model (v4.4.2) conducted at a 12-km resolution over the Continental United States (12US). MCIP-processed files and wrfcamx-processed (12US1 domain) are also available as part of this dataset to assist in the use of emissions processing and photochemical modeling. These files may be used in downstream applications to generate emissions, photochemical mode...

Open-Meteo Weather API Database

Managed by Open-Meteo

Open-Meteo integrates weather models from reputable national weather services, offering a swift and efficient weather API. Real-time weather forecasts are unified into a time-series database that provides historical and future weather data for any location worldwide.Through Open-Meteo on AWS Open Data, you can download the Open-Meteo weather database and analysis weather data locally. Docker images are provided to download data and to expose an HTTP API endpoint. Using Open-Meteo SDKs, you can seamlessly integrate weather data into your Python, Typescript, Swift, Kotlin, or Java applications.T...

PALSAR-2 ScanSAR Tropical Cycolne Mocha (L2.1)

Managed by JAXA

Tropical Cyclone Mocha began to form in the Bay of Bengal on 11 May 2023 and continues to intensify as it moves towards Myanmar and Bangladesh.Cyclone Mocha is the first storm to form in the Bay of Bengal this year and is expected to hit several coastal areas in Bangladesh on 14 May with wind speeds of up to 175 km/h.After made its landfall in the coast between Cox’s Bazar (Bangladesh) and Kyaukphyu (Myanmar) near Sittwe (Myanmar). At most, Catastrophic Damage-causing winds was possible especially in the areas of Rakhine State and Chin State, and Severe Damage-causing winds is possible in the ...

Planette C3S Seasonal Forecast Data

Managed by Planette.ai

The C3S seasonal forecast dataset provides global, daily, probabilistic forecasts of the Earth system, enabling users to assess the likelihood of future climate states. These forecasts are particularly valuable for studying slowly evolving climate patterns such as El Niño, La Niña, and the North Atlantic Oscillation (NAO), which can be predicted with greater skill than the chaotic atmosphere. This dataset is derived from the Copernicus Climate Change Service (C3S) archive and includes SEAS5 hindcasts (1981-2016) and forecasts (2017-present) at 1°x1° global resolution. More models from the...

Planette ECMWF IFS S2S Reforecast Data

Managed by Planette.ai

Global IFS-CY49R1 S2S reforecasts: 10-member ensemble, 46-day lead, 1.5° atmosphere/surface and 1° ocean, 2006–2025.This dataset is derived from the ECMWF Data Store (S2S on-the-fly reforecasts) and published by Planette as a single cloud-native Icechunk/Zarr data cube at s3://planette-ifs-46-day/reforecasts for efficient analysis with xarray.

Planette ERA5 Archive

Managed by Planette.ai

The ERA5 archive provides a comprehensive record of global weather and climate from 1940 to present, with multiple temporal aggregations for flexible analysis. This dataset is derived from the ECMWF/Copernicus ERA5 reanalysis and includes daily means, 7-day rolling means, and monthly/seasonal aggregations at 0.25°×0.25° global resolution. The Planette ERA5 archive stores this data in cloud-native format (Zarr with icechunk) for efficient access and analysis.The dataset includes essential atmospheric variables at both surface and pressure levels, enabling a wide range of climate analyses, ...

SatPM2.5

Managed by https://satpm.org

Fine particulate matter (PM2.5) concentrations are estimated using information from satellite-, simulation- and monitor-based sources. Aerosol optical depth from multiple satellites (MODIS, VIIRS, MISR, SeaWiFS, and VIIRS) and their respective retrievals (Dark Target, Deep Blue, MAIAC) is combined with simulation (GEOS-Chem) based upon their relative uncertainties as determined using ground-based sun photometer (AERONET) observations to produce geophysical estimates that explain most of the variance in ground-based PM2.5 measurements. A subsequent statistical fusion incorporates additional inf...

Satellite - Altimetry calibration and validation

Managed by AODN

High precision satellite altimeter missions including TOPEX/Poseidon (T/P), Jason-1 and now OSTM/Jason-2, have contributed fundamental advances in our understanding of regional and global ocean circulation and its role in the Earth's climate and regional applications. These altimeter satellites essentially observe the height of the global oceans – as such, they have become the tool of choice for scientists to measure sea level rise – both at regional and global scales as well as giving information about ocean currents and large- and small-scale variability. The determination of changes in ...

SeeFar V0

Managed by Coastal Carbon

A collection of multi-resolution satellite images from both public and commercial satellites. The dataset is specifically curated for training geospatial foundation models.

Sentinel-2 Geometric Median and Absolute Deviations (GeoMAD) over the Pacific

Managed by Pacific Community (SPC)

The Geometric Median and Absolute Deviations (GeoMAD) product is a cloud-free annual mosaic that uses a more robust method of determining the median observation than a simple median. Along with the median observation, the GeoMAD produces three measures of variance, or absolute deviations, which helps to understand how the data over the time period changes. For example, some areas, such as desert, will change very little. Whereas crop land will change more. All ofthese values are useful in understand what is happening in the area covered by the GeoMAD.

Ships of Opportunity - Biogeochemical sensors - Delayed mode

Managed by AODN

The IMOS Ship of Opportunity Underway CO2 Measurements group is a research and data collection project working within the IMOS Ship of Opportunity Multi-Disciplinary Underway Network sub-facility. The CO2 group sample critical regions of the Southern Ocean and the Australian shelf waters have a major impact on CO2 uptake by the ocean. These are regions where biogeochemical cycling is predicted to be particularly sensitive to a changing climate. The pCO2 Underway System measures the fugacity of carbon dioxide (fCO2) along with other variables such as sea surface salinity (SSS) and sea surface t...

Toxicant Exposures and Responses by Genomic and Epigenomic Regulators of Transcription (TaRGET)

Managed by TaRGET II Data Coordination Center (TaRGET-DCC)

The TaRGET (Toxicant Exposures and Responses by Genomic and Epigenomic Regulators of Transcription) Program is a research consortium funded by the National Institute of Environmental Health Sciences (NIEHS). The goal of the collaboration is to address the role of environmental exposures in disease pathogenesis as a function of epigenome perturbation, including understanding the environmental control of epigenetic mechanisms and assessing the utility of surrogate tissue analysis in mouse models of disease-relevant environmental exposures.

Tropical Cyclone Precipitation, Infrared, Microwave, and Environmental Dataset (TC PRIMED)

Managed by CIRA

The Tropical Cyclone Precipitation, Infrared, Microwave and Environmental Dataset (TC PRIMED) is a dataset centered around passive microwave observations of global tropical cyclones from low-Earth-orbiting satellites. TC PRIMED is a compilation of tropical cyclone data from various sources, including 1) tropical cyclone information from the National Oceanic and Atmospheric Administration (NOAA) National Weather Service National Hurricane Center (NHC) and Central Pacific Hurricane Center (CPHC) and the U.S. Department of Defense Joint Typhoon Warning Center, 2) low-Earth-orbiting satellite obse...

VENUS L2A Cloud-Optimized GeoTIFFs

Managed by EarthDaily Analytics

The Venµs science mission is a joint research mission undertaken by CNES and ISA, the Israel Space Agency. It aims to demonstrate the effectiveness of high-resolution multi-temporal observation optimised through Copernicus, the global environmental and security monitoring programme. Venµs was launched from the Centre Spatial Guyanais by a VEGA rocket, during the night from 2017, August 1st to 2nd. Thanks to its multispectral camera (12 spectral bands in the visible and near-infrared ranges, with spectral characteristics provided here), it acquires imagery every 1-2 days over 100+ areas at</></>...

WIS2 Global Cache on AWS

Managed by Met Office

Global real-time Earth system data deemed by the World Meteorological Organisation (WMO) as essential for provision of services for the protection of life and property and for the well-being of all nations. Data is sourced from all WMO Member countries / territories and retained for 24-hours. Met Office and NOAA operate this Global Cache service curating and publishing the dataset on behalf of WMO.

Wildfire Projections to Support Climate Resilience

Managed by Cal-Adapt: Analytics Engine (by Eagle Rock Analytics, Inc.)

Wildfire projections for California and her environs in support of California's Fifth Climate Assessment supported with historical weather observations and renewable energy capacity profiles for grid operations.

World Bank Climate Change Knowledge Portal (CCKP)

Managed by World Bank Group

CCKP provides open access to a comprehensive suite of climate and climate change resources derived from the latest generation of climate data archives. Products are based on a consistent and transparent approach with a systematic way of pre-processing the raw observed and model-based projection data to enable inter-comparable use across a broad range of applications. Climate products consist of basic climate variables as well as a large collection (70+) of more specialized, application-orientated variables and indices across different scenarios. Precomputed data can be extracted per specified ...

NOAA / NGA Satellite Computed Bathymetry Assessment-SCuBA

Managed by NOAA’s National Geodetic Survey

One of the National Geospatial-Intelligence Agency’s (NGA) and the National Oceanic and Atmospheric Administration’s (NOAA) missions is to ensure the safety of navigation on the seas by maintaining the most current information and the highest quality services for U.S. and global transport networks. To achieve this mission, we need accurate coastal bathymetry over diverse environmental conditions. The SCuBA program focused on providing critical information to improve existing bathymetry resources and techniques with two specific objectives. The first objective was to validate National Aeronautics and Space Administration’...

NOAA Global Hydro Estimator (GHE) / Enterprise Rain Rate

Managed by NOAA

NOAA IOOS MARACOOS Regional Ocean Modeling System (ROMS) "Doppio" Data Assimilative Reanalysis

Managed by "NOAA"

NOAA JISAO’s Seasonal Coastal Ocean Prediction of the Ecosystem (J-SCOPE)

Managed by NOAA

J-SCOPE (JISAO’s Seasonal Coastal Ocean Prediction of the Ecosystem) is funded by NOAA and presented by NANOOS. This project aims to provide experimental seasonal forecasts (six to nine months) of upper ocean properties, based on operational simulations by NOAA's Climate Forecast System (CFS) model, and dynamical downscaling with a high-resolution version of the Regional Ocean Model System (ROMS) that includes a state-of-the-art biogeochemical module. Forecasts of specific oceanic properties crucial to the nearshore and coastal marine ecosystem such as upwelling, pH, mixed layer depth, oxygen concentration and plankton distributions are anticipated with updates on a monthly basis. For more information about the forecast system, please read Siedlecki et al. 2016.The Regional Ocean Modeling System (R</>...

NOAA National Water Model CONUS Retrospective Dataset

Managed by NOAA

NOAA National Water Model Short-Range Forecast

Managed by NOAA

The National Water Model (NWM) is a water resources model that simulates and forecasts water budget variables, including snowpack, evapotranspiration, soil moisture and streamflow, over the entire continental United States (CONUS). The model, launched in August 2016, is designed to improve the ability of NOAA to meet the needs of its stakeholders (forecasters, emergency managers, reservoir operators, first responders, recreationists, farmers, barge operators, and ecosystem and floodplain managers) by providing expanded accuracy, detail, and frequency of water information. It is operated by NOA...

RAPID NRT Flood Maps

Managed by University of Connecticut; Guangxi University

Near Real-time and archival data of High-resolution (10 m) flood inundation dataset over the Contiguous United States, developed based on the Sentinel-1 SAR imagery (2016-current) archive, using an automated Radar Produced Inundation Diary (RAPID) algorithm.

A region-wide, multi-year set of crop field boundary labels for Africa

Managed by The Agricultural Impacts Research Group

Crop field boundaries digitized in Planet imagery collected across Africa between 2017 and 2023, developed by Farmerline, Spatial Collective, and the Agricultural Impacts Research Group at Clark University, with support from the Lacuna Fund (Estes et al, 2024; HERE"

NOAA's Surge and Tide Operational Forecast System: Three-Dimensional Component for the Atlantic Basin (STOFS-3D-Atlantic) and for the Pacific Basin (STOFS-3D-Pacific). STOFS-3D-Atlantic and STOFS-3D-Pacific run daily (at 12 UTC) to provide users with 24-hour nowcasts (analyses of near present conditions) and up to 96-hour (Atlantic) and 48-hour </>...

NOTICE - The Coast Survey Development Laboratory (CSDL) in NOAA/National Ocean Service (NOS)/Office of Coast Survey has upgraded the Surge and Tide Operational Forecast System (STOFS) to Version 3.1. A Service Change Notice (SCN) has been issued and can be found "HERE"

NOAA's Global Surge and Tide Operational Forecast System 2-D (STOFS-2D-Global) provides users with nowcasts (analyses of near present conditions) and forecast guidance of water level conditions for the entire globe. STOFS-2D-Global has been developed to serve the marine navigation, weather forecasting, and disaster mitiga</>...

ANNOUNCEMENTS: [NOS OFS Version Updates and Implementation of Upgraded Oceanographic Forecast Modeling Systems for Lakes Superior and Ontario; Effective October 25, 2022}(https://www.weather.gov/media/notification/pdf2/scn22-91_nos_loofs_lsofs_v3.pdf)

For decades, mariners in the United States have depended on NOAA's Tide Tables for the best estimate of expected water levels. These tables provide accurate predictions of the astronomical tide (i.e., the change in water level due to the gravitational effects of the moon and sun and the rotation of the Earth); however, they cannot predict water-level changes due to wind, atmospheric pressure, and river flow, which are often significan</>...

The mission of the Ocean Climate Stations (OCS) Project is to make meteorological and oceanic measurements from autonomous platforms. Calibrated, quality-controlled, and well-documented climatological measurements are available on the OCS webpage and the OceanSITES Global Data Assembly Centers (GDACs), with near-realtime data available prior to release of the complete, downloaded datasets.

OCS measurements served through the Big Data Program come from OCS high-latitude moored buoys located in the Kuroshio Extension (32°N 145°E) and the Gulf of Alaska (50°N 145°W). Initiated in 2004 and 20...