NASA Prediction of Worldwide Energy Resources (POWER)

Tutorials

• About the Prediction Of Worldwide Energy Resources (POWER) Project ArcGIS StoryMap. by The POWER Project
  
• Accessing and Subsetting POWER data, from AWS S3 using Python. by The POWER Project
  

Tools & Applications

• NASA POWER NetCDF Data Download by The POWER Project
  
• POWER Application Programming Interface (API) by The POWER Project
  
• POWER Data Access Viewer (DAV) by The POWER Project
  

Publications

• A solar azimuth formula that renders circumstantial treatment unnecessary without compromising mathematical rigor: Mathematical setup, application and extension of a formula based on the subsolar point and atan2 function by Zhang, T., P. W. Stackhouse, B. Macpherson, and J. C. Mikovitz
  
• Application of a global-to-beam irradiance model to the NASA GEWEX SRB dataset: An extension of the NASA Surface meteorology and Solar Energy datasets by Zhang, T., P. W. Stackhouse, W. S. Chandler, and D. J. Westberg
  
• Application of Satellite Sensor Data and Models for Energy Management by Zell, E., J. Engel-Cox, R. Eckman, and P. Stackhouse
  
• Association between solar insolation and a history of suicide attempts in bipolar I disorder by Bauer M, et al., Stackhouse PW Jr., et al.
  
• CEOS contributions to informing energy management and policy decision making using space-based Earth observations by Eckman, R. S., and P. W. Stackhouse
  
• Enhancing Climate Resilience at NASA Centers: A Collaboration between Science and Stewardship by Rosenzweig, C., and Coauthors
  
• Evaluation of NASA satellite- and assimilation model-derived long-term daily temperature data over the continental US by White, J. W., G. Hoogenboom, P. W. Stackhouse, and J. M. Hoell
  
• Evaluation of Satellite-Based, Modeled-Derived Daily Solar Radiation Data for the Continental United States by White, J. W., G. Hoogenboom, P. W. Wilkens, P. W. Stackhouse, and J. M. Hoel
  
• Global Surface Solar Energy Anomalies Including El Nino and La Nina Years. by C. H., and Coauthors
  
• Modeling the potential for thermal concentrating solar power technologies by Zhang, Y., S. J. Smith, G. P. Kyle, and P. W. Stackhouse
  
• NASA Climatological Data for Renewable Energy Assessment by Chandler, W. S., C. H. Whitlock, and P. W. Stackhouse
  
• The Contribution of Solar Brightening to the US Maize Yield Trend by Tollenaar, T., J. Fridgen, P. Tyagi, P. W. Stackhouse Jr., and S. Kumudini
  
• Variations in seasonal solar insolation are associated with a history of suicide attempts in bipolar I disorder by Bauer, M., and Coauthors
  

NOAA Geostationary Operational Environmental Satellites (GOES) 16, 17, 18 & 19

Tutorials

• Comparison reading GOES-R data from AWS S3 in netCDF versus zarr by Chelle Gentemann
  
• Forecasting Hurricane Tracks with TensorFlow and data from AWS S3 by Kyle Archie
  
• NOAA GOES16 Julia Jupyter Notebook Example by Peter Schmiedeskamp
  AWS CloudFormationAmazon EC2Amazon SageMaker
• Processing GOES-16 data with Dask & AWS Fargate by Zac Flamig
  AWS CloudFormationAWS FargateAmazon SageMaker
• Visualize GOES-16 in Python using Xarray by Hamed Alemohammad
  

Tools & Applications

• GOES-2-go is a python package for downloading and plotting plotting GOES data. by Brian K. Blaylock
  
• Modern Data Platform Orchestration with Dagster Software-Defined Assets by Adebayo Adejare
  

Publications

• Beginner’s Guide to GOES-R Series Data by Danielle Losos
  
• Billions of Birds Migrate. Where Do They Go? by National Geographic
  
• Comparison of Lightning Forecasts from the High-Resolution Rapid Refresh Model to Geostationary Lightning Mapper Observations by Brian K. Blaylock, and John D. Horel
  
• Embracing the cloud for climate research by North Carolina State University’s North Carolina Institute for Climate Studies
  
• GOES Quick Guides (Spanish) by Anthony Segura García
  
• Identifying the Causes of Pyrocumulonimbus (PyroCb) by Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, and Nis Meinert
  
• Imaging Considerations From a Geostationary Orbit Using the Short Wavelength Side of the Mid-Infrared Water Vapor Absorption Band by N.B. Miller, M.M. Gunshor, A.J. Merrelli, T.S. L'Ecuyer, T.J. Schmit, J.J. Gerth, N.J. Gordillo
  
• Observations of lightning in relation to transitions in volcanic activity during the 3 June 2018 Fuego Eruption by Christopher J. Schultz, Virginia P. Andrews, Kimberly D. Genareau, and Aaron R. Naeger
  
• Solar irradiance forecasting for the solar powered future by Solcast
  
• SunCast: Solar Irradiance Nowcasting from Geosynchronous Satellite Data by Dhileeban Kumaresan, Richard Wang, Ernesto Martinez, Richard Cziva, Alberto Todeschini, Colorado J Reed, Hossein Vahabi
  
• The Use of Composite GOES-R Satellite Imagery to Evaluate a TC Intensity and Vortex Structure Forecast by an FV3GFS-Based Hurricane Forecast Model by Shaowu Bao, Zhan Zhang, Evan Kalina, and Bin Liu
  

NEXRAD on AWS

Tutorials

• Get NEXRAD data from AWS, get severe reports from SPC archive, and plot a loop of them by Russ Schumacher
  
• Mapping Noaa Nexrad Radar Data With CARTO by Stuart Lynn
  
• NEXRAD on EC2 tutorial by openradar
  Amazon EC2
• Updated introduction to S3, Boto, and NOAA Nexrad in SageMaker Studio Lab (SMSL) by Chris Stoner
  
  Amazon SageMaker Studio Lab
• Using Python to Access NCEI Archived NEXRAD Level 2 Data (Jupyter notebook) by Ryan May
  

Tools & Applications

• Into the eye of the storm: NEXRAD Level II open data by Jonni Walker
  
• nexradaws on pypi.python.org - python module to query and download Nexrad data from Amazon S3 by Aaron Anderson
  
• Open NEXRAD Data Access for Level 3 with Lambda@Edge by Zac Flamig
  
• WeatherPipe - Amazon EMR based analysis tool for NEXRAD data stored on Amazon S3 by Stephen Lien Harrell
  

Publications

• Declines in an abundant aquatic insect, the burrowing mayfly, across major North American waterways by Phillip M. Stepanian, Sally A. Entrekin, Charlotte E. Wainwright, Djordje Mirkovic, Jennifer L. Tank, & Jeffrey F. Kelly
  
• Extreme Pyroconvective Updrafts During a Megafire by B. Rodriguez, N. P. Lareau, D. E. Kingsmill, & C. B. Clements
  
• Level 2 Interface Control Document for Message Data Formats: Build 18 by NOAA ROC
  
• Level 2 Interface Control Document for Transfer: Build 18 by NOAA ROC
  
• Level 3 Interface Control Document for Message Data Formats: Build 18 by NOAA ROC
  
• Observed Concentric Eyewalls of Supertyphoon Hinnamnor by Sachie Kanada and Akira Nishii
  
• Seasonal abundance and survival of North America’s migratory avifauna determined by weather radar by Adriaan M. Dokter, Andrew Farnsworth, Daniel Fink, Viviana Ruiz-Gutierrez, Wesley M. Hochachka, Frank A. La Sorte, Orin J. Robinson, Kenneth V. Rosenberg & Steve Kelling
  
• Unlocking the Potential of NEXRAD Data through NOAA’s Big Data Partnership by Steve Ansari and Stephen Del Greco
  

NOAA Joint Polar Satellite System (JPSS)

Tutorials

• GOES-R/JPSS Short Course on Making Beautiful Images of NOAA Satellite Data using Python from the 2023 Annual Meeting of American Meteorological Society by Amy Huff and Rebekah Esmaili
  
• JPSS Satellites (COMET) by UCAR
  
• JPSS Short Course from the 2018 Annual Meeting of American Meteorological Society by Colorado State University
  
• JPSS Training Resources by NOAA
  
• JPSS_AWS Geolocate by Mya Sears
  
  Amazon SageMaker Studio Lab
• JPSS_AWS Timeselect by Mya Sears
  
  Amazon SageMaker Studio Lab
• Python scripts to download and display JPSS NODD datasets by Amy Huff and Rebekah Esmaili
  
• VIIRS Active Fire Quick Guide by NOAA
  
• VIIRS Products (NASA SPoRT) by NASA
  

Tools & Applications

• JPSS Proving Ground by NOAA
  

Publications

• JPSS Annual Science Digest 2022 by NOAA
  
• JPSS Science Seminar Annual Digest 2020 by NOAA
  
• JPSS Science Seminar Annual Digest 2021 by NOAA
  
• NUCAPS EDR files in the cloud by Scott Lindstrom
  

Digital Earth Africa CHIRPS Rainfall

Tutorials

• Digital Earth Africa Training by Digital Earth Africa Contributors
  
• Rainfall - Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) by Digital Earth Africa Contributors
  

Tools & Applications

• Digital Earth Africa Explorer (CHIRPS daily rainfall) by Digital Earth Africa Contributors
  
• Digital Earth Africa Explorer (CHIRPS monthly rainfall) by Digital Earth Africa Contributors
  
• Digital Earth Africa Geoportal by Digital Earth Africa Contributors
  
• Digital Earth Africa Map by Digital Earth Africa Contributors
  
• Digital Earth Africa Notebook Repo by Digital Earth Africa Contributors
  
• Digital Earth Africa Sandbox by Digital Earth Africa Contributors
  
• Digital Earth Africa web services by Digital Earth Africa Contributors
  

Publications

• Introduction to DE Africa by Dr Fang Yuan
  
• The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes by Chris Funk, Pete Peterson, Martin Landsfeld, Diego Pedreros, James Verdin, Shraddhanand Shukla, Gregory Husak, James Rowland, Laura Harrison, Andrew Hoell and Joel Michaelsen
  

NOAA Operational Forecast System (OFS)

Tools & Applications

• OFS Data Aggregation and Sub-Setting by NOAA
  

Publications

• Chesapeake Bay OFS Flyer by NOAA
  
• Chesapeake Bay OFS: Model Development and Skill Assessment by NOAA
  
• Delaware Bay and River OFS Flyer by NOAA
  
• Skill Assessment of the Delaware River and Bay OFS (DBOFS) by NOAA
  
• Tampa Bay OFS Flyer by NOAA
  
• Tampa Bay OFS: Model Development and Skill Assessment by NOAA
  
• Technical Implementation Notice for Chesapeake Bay OFS by NOAA
  
• Technical Implementation Notice for Delaware River and Bay OFS by NOAA
  
• Technical Implementation Notice for Tampa Bay OFS by NOAA
  
• Three-Dimensional Hydrodynamic Model Developments for a Delaware River and Bay Nowcast/Forecast System by NOAA
  

NREL Wind Integration National Dataset

Tutorials

• HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
  

Tools & Applications

• Wind Prospector by Paul Edwards
  
• Wind Visualization by Jordan Perr-Sauer
  

Publications

• A Twenty-Year Analysis of Winds in California for Offshore Wind Energy Production Using WRF v4.1.2 by Alex Rybchuk, Mike Optis, Julie K. Lundquist, Michael Rossol, Walt Musial
  
• Overview and Meteorological Validation of the Wind Integration National Dataset Toolkit by Caroline Draxl, Bri-Mathias Hodge, Andrew Clifton, Jim McCaa
  
• Power from wind: Open data on AWS by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer
  
• The Wind Integration National Dataset (WIND) Toolkit by Caroline Draxl, Andrew Clifton, Bri-Mathias Hodge, Jim McCaa
  
• Validation of Power Output for the WIND Toolkit by J. King, Andrew Clifton, Bri-Mathias Hodge
  
• WTK-LED: The WIND Toolkit Long-Term Ensemble Dataset by Caroline Draxl, Jiali Wang, Lindsay Sheridan, et al.
  

DOE's Water Power Technology Office's (WPTO) US Wave dataset

Tools & Applications

• HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
  

Publications

• Development and validation of a high-resolution regional wave hindcast model for U.S. West Coast wave resource characterization by Wu, Wei-Cheng; Wang, Taiping; Yang, Zhaoqing; Garcia Medina, Gabriel
  
• Development and validation of a regional-scale high-resolution unstructured model for wave energy resource characterization along the US East Coast by Allahdadi, M.N., Gunawan, J. Lai, R. He, V.S. Neary
  
• High-resolution hindcasts for U.S. wave energy resource characterization by Yang, Z. and V.S. Neary
  
• High-Resolution Regional Wave Hindcast for the U.S. West Coast by Yang, Zhaoqing; Wu, Wei-Cheng; Wang, Taiping; Castrucci, Luca
  
• Nearshore wave energy resource characterization along the East Coast of the United States by Ahn, S. V.S. Neary, Allahdadi, N. and R. He
  
• Predicting ocean waves along the US East Coast during energetic winter storms: sensitivity to whitecapping parameterizations by Allahdadi, M.N., He, R., and Neary, V.S
  
• SWAN Cycle III version 41.31A by The SWAN team
  

GEOS-Chem Input Data

Tutorials

• GCHP Quickstart Guide by GEOS-Chem Support Team
  
• GEOS-Chem Classic Quickstart Guide by GEOS-Chem Support Team
  
• GEOS-Chem Input Data on AWS cloud by GEOS-Chem Support Team
  
• Integrated Methane Inversion (IMI) Quickstart Guide by Daniel Varon et al.
  

Publications

• Enabling high-performance cloud computing for Earth science modeling on over a thousand cores: application to the GEOS-Chem atmospheric chemistry model by Jiawei Zhuang et al.
  
• Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model by Jiawei Zhuang et al.
  
• Improved advection, resolution, performance, and community access in the new generation (version 13) of the high-performance GEOS-Chem global atmospheric chemistry model (GCHP) by Randall V. Martin et al.
  

GEOS-Chem Nested Input Data

Tutorials

• GCHP Quickstart Guide by GEOS-Chem Support Team
  
• GEOS-Chem Classic Quickstart Guide by GEOS-Chem Support Team
  
• GEOS-Chem input data on AWS cloud by GEOS-Chem Support Team
  
• GEOS-Chem nested input data by GEOS-Chem Support Team
  

Tools & Applications

• Integrated Methane Inversion by Daniel Varon et al.
  

Publications

• Enabling high-performance cloud computing for Earth science modeling on over a thousand cores: application to the GEOS-Chem atmospheric chemistry model by Jiawei Zhuang et al.
  
• Enabling Immediate Access to Earth Science Models through Cloud Computing: Application to the GEOS-Chem Model by Jiawei Zhuang et al.
  

NOAA Rapid Refresh Forecast System (RRFS) [Prototype]

Publications

• A Limited Area Modeling Capability for the Finite-Volume Cubed-Sphere (FV3) Dynamical Core and Comparison With a Global Two-Way Nest by Black, T. L., J. A. Abeles, B. T. Blake, D. Jovic, E. Rogers, X. Zhang, E. A. Aligo, L. C. Dawson, Y. Lin, E. Strobach, P. C. Shafran, and J. R. Carley
  
• Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study by Banos, I. H., W. D. Mayfield, G. Ge, L. F. Sapucci, J. R. Carley, and L. Nance
  
• Community modeling framework underpinning the RRFS - The UFS Short Range Weather Application by UFS Community
  
• Highlights from a Year of Continued Development of the Rapid Refresh Forecast System (RRFS) by Carley J. R. and C. R. Alexander
  
• Prototype UFS-Based Rapid Refresh Forecast System (RRFS) on the Cloud by Holt, C., D. Abdi, J. A. Abeles, J. R. Carley, C. W. Harrop, R. Panda, S. Trahan, and C. R. Alexander
  
• Status and Opportunities with the Rapid Refresh Forecast System by Carley J. R. and C. R. Alexander
  

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

Tutorials

• Analyzing large climate model ensembles in the cloud by Joe Hamman, NCAR
  

Tools & Applications

• Intake-ESM Catalog by Brian Bonnlander, NCAR
  
• Jupyter Notebook and other documentation and tools for DART Reanalysis on AWS by NCAR Science at Scale team
  
• Rendered (static) version of Jupyter Notebook by Brian Bonnlander, NCAR
  

Publications

• A new CAM6 + DART reanalysis with surface forcing from CAM6 to other CESM models by Raeder, K., Hoar, T.J., El Gharamti, M. et al (2021)
  

CMAS Data Warehouse

Tutorials

• AMET Documentation by USEPA
  
• CMAQ Installation and Benchmarking Tutorial by USEPA
  
• CMAQ on AWS HPC Workshop by CMAS Center, U.S. EPA Office of Research and Development and AWS Workshop Studio
  AWS ParallelCluster
• Documentation for CMAQ on AWS ParallelCluster by CMAS Center
  AWS ParallelCluster
• EQUATES Benchmark by Liz Adams
  

JMA Himawari-8/9

Publications

• Himawari-8 Advanced Himawari Imager Data on AWS (pdf file) by NOAA NESDIS
  
• Himawari-8 on AWS (pdf file) by ASDI
  
• Himawari-8: Enabling access to key weather data by Manan Dalal, Jena Kent
  
• Identifying the Causes of Pyrocumulonimbus (PyroCb) by Emiliano Díaz Salas-Porras, Kenza Tazi, Ashwin Braude, Daniel Okoh, Kara D. Lamb, Duncan Watson-Parris, Paula Harder, and Nis Meinert
  
• Introduction of Himawari-8/9 (pdf file) by JMA
  

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

Publications

• An empirically derived emission algorithm for wind-blown dust (J.Geophys. Res., 115, D16212) by Draxler, R. R., P. Ginoux, and A. F. Stein
  
• Development and evaluation of an advanced National Air Quality Forecasting Capability using the NOAA Global Forecast System version 16 (2022, Geosci. Model Dev., 15, 3281–3313) by Campbell, P.C., and Coauthors
  
• Development of the next-generation air quality prediction system in the UFS framework: Enhancing predictability of wildfire air quality impacts (2024)(Bull. Amer. Meteor. Soc. In review) by Huang, J.P., I. Stajner, R. Montuoro, F. Yang, K. Wang, H.-C. Huang, C.-H. Jeon, B. Curtis, J. McQueen, H. Liu, B. Baker, D. Tong , Y. Tang, P. Campbell, G. Grell, G. Frost, R. Schwantes, S. Wang, S. Kondragunta, F. Li, and Y. Jung
  
• Improving NOAA NAQFC PM2.5 predictions with a bias correction approach (2017, Wea. and Forecasting, 32(2), 407–421) by Huang, J., McQueen, J., Wilczak, J., Djalalova, I., Stajner, I., Shafran, P., Allured, D., Lee, P., Pan, L., Tong, D., Huang, H.-C., DiMego, G., Upadhayay, S., & Delle Monache, L
  
• Using VIIRS fire radiative power data to simulate biomass burning emissions, plume rise and smoke transport in a real-time air quality modeling system (Proc. 2017 IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS0),Fort Worth, TX, IEEE, 2806–2808) by Ahmadov, R., and Coauthors
  

Open-Meteo Weather API Database

Tutorials

• Accessing 80 Years Historical Weather Data from ERA5 by Open-Meteo
  
• Run Your Own Weather API by Open-Meteo
  

Tools & Applications

• Open-Meteo API documentation by Open-Meteo
  
• Open-Meteo API source-code by Open-Meteo
  

Publications

• Zippenfenig, P. (2023). Open-Meteo.com Weather API [Computer software] by Patrick Zippenfenig
  

Sofar Spotter Archive

Tutorials

• Analyzing Spotter data with CloudDrift by Milan Curcic
  
• Exploring Bulk Variables from the Spotter Archive by Isabel A. Houghton
  
• Exploring Wave Spectra Variables from the Spotter Archive by Isabel A. Houghton
  

Publications

• Performance Characteristics of “Spotter,” a Newly Developed Real-Time Wave Measurement Buoy (2019) by K. Raghukumar, G. Chang, F. Spada, C. Jones, T. Janssen, A. Gans
  
• Performance Statistics of a Real-Time Pacific Ocean Weather Sensor Network (2021) by I. Houghton, P. Smit, D. Clark, C. Dunning, A. Fisher, N. Nidzieko, P. Chamberlain, T. Janssen
  

Demand-Side Grid (dsgrid) Toolkit

Tutorials

• dsgrid Documentation by Elaine Hale
  
• dsgrid Project Standard Scenarios for the TEMPO Project by Elaine Hale
  
• Python API for Accessing dsgrid Data for the Electrification Futures Study (EFS) by Elaine Hale
  

Tools & Applications

• Demand-Side Grid Toolkit by Elaine Hale
  
• GitHub Repository for Working with the dsgrid Projects by Elaine Hale
  

Publications

• Highly Resolved Projections of Passenger Electric Vehicle Charging Loads for the Contiguous United States by Arthur Yip, Christopher Hoehne, Paige Jadun, Catherine Ledna, Elaine Hale, and Matteo Muratori
  
• The Demand-side Grid (dsgrid) Model Documentation by Elaine Hale, Henry Horsey, Brandon Johnson, et al.
  

ECMWF real-time forecasts

Tutorials

• A collection of Jupyter Notebooks that make use of the ecmwf-opendata package. This package simplifies the download of ECMWF open data. by ECMWF
  

Tools & Applications

• A package to simplify the download of ECMWF open data. It implements a request-based interface to the dataset using ECMWF's MARS language to select meteorological fields, similar to the existing ecmwf-api-client Python package. by ECMWF
  
• Herbie: A Python package to retrieve NWP data. by Brian Blaylock
  

Publications

• ECMWF makes wide range of data openly available by ECMWF
  

IDEAM - Colombian Radar Network

Tutorials

• Guia de como explorar y plotear los archivos de radar utilizando el lenguaje de programación Python by IDEAM
  
• Read and plot Sigmet files available on AWS using Xradar by Alfonso Ladino
  
• Specific Differential Phase (KDP) retrieval methods comparison by Alfonso Ladino, Max Grover
  
• Taller de datos científicos con Python y R - AtmosCol 2023 by Alfonso Ladino, Nicole Rivera, Max Grover
  

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

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  
• What is an ensemble forecast? by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

NOAA Global Historical Climatology Network Daily (GHCN-D)

Tutorials

• Calculating growing degree days using AWS Registry of Open Data by Karen Hildebrand and Zac Flamig
  Amazon AthenaAWS CloudFormationAWS Glue
• Explore & Visualize 200+ Years of Global Temperature by Kapil Sreedharan
  
• Visualize over 200 years of global climate data using Amazon Athena and Amazon QuickSight by Conor Delaney
  Amazon AthenaAWS Glue

Publications

• Natural and Socioeconomic Conditions Influence Tick-Borne Encephalitis Cases in Russia by Lantian Zhang, Linsheng Yang, Li Wang, Lijuan Gu, Hairong Li, Svetlana Malkhazova
  

NREL National Solar Radiation Database

Tools & Applications

• HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
  
• NSRDB Viewer by Manajit Sengupta, Yu Xe, Anthony Lopez, Aron Habte, Galen Maclaurin, James Shelby, Paul Edwards
  

Publications

• Physics-guided machine learning for improved accuracy of the National Solar Radiation Database by Grant Buster, Mike Bannister, Aron Habte, Dylan Hettinger, Galen Maclaurin, Michael Rossol, Manajit Sengupta, Yu Xie
  
• The National Solar Radiation Data Base (NSRDB) by Manajit Sengupta, Yu Xe, Anthony Lopez, Aron Habte, Galen Maclaurin, James Shelby
  

SILO climate data on AWS

Tutorials

• Using relative humidity grids with xarray from s3 by Richard Scott
  

Tools & Applications

• Convert NetCDF to ESRI ArcASCII or GeoTIFF by SILO
  
• NetCDF Operators to calculate seasonal means by SILO
  
• Python script to calculate a regional mean by SILO
  

Storm EVent ImageRy (SEVIR)

Tutorials

• Introduction to SEVIR by Mark Veillette
  
• Using Generators for SEVIR data by Mark Veillette
  

Tools & Applications

• sevir -- python utilities for working with SEVIR dataset by Mark Veillette
  

Publications

• Towards a More Realistic and Detailed Deep-Learning-Based Radar Echo Extrapolation Method by Yuan Hu, Lei Chen, Zhibin Wang, Xiang Pan and Hao Li
  

Finnish Meteorological Institute Weather Radar Data

Tutorials

• Handling data with QGIS by Markus Peura
  
• Processing GeoTIFF data with python by Roope Tervo
  
• Processing HDF5 data with python by Roope Tervo
  

NOAA - hourly position, current, and sea surface temperature from drifters

Tutorials

• Working with GDP hourly data using python and xarray, a CloudDrift notebook by Shane Elipot
  

Publications

• A Dataset of Hourly Sea Surface Temperature From Drifting Buoys (2022) by Elipot, S., A. Sykulski, R. Lumpkin, L. Centurioni, and M. Pazos
  
• A global surface drifter dataset at hourly resolution (2016) by Elipot, S., R. Lumpkin, R. C. Perez, J. M. Lilly, J. J. Early, and A. M. Sykulski
  

NOAA Global Ensemble Forecast System (GEFS) Re-forecast

Tutorials

• Example using GEFS Reforecast Data from AWS by Victor Gensini
  
• Retrospective Dissertation - Part 3: Reforecast Data by Francisco Alvarez
  

Publications

• The GEFS v12 and its reanalyses and reforecasts (Slides) by Tom Hamill
  

NOAA Global Forecast System (GFS)

Publications

• GFS Warm Restart Files Additional Information by Fanglin Yang
  
• Toward the Next Generation of Microwave Sounders: Benefits of a Low-Earth Orbit Hyperspectral Microwave Instrument in All- Weather Conditions using AI by Eric S. Maddy
  
• Validation and Application of the Accu-Waves Operational Platform for Wave Forecasts at Ports by Christos Makris et al.
  

National Climate Database (NCDB)

Tools & Applications

• HSDS Examples by Caleb Phillips, Caroline Draxl, John Readey, Jordan Perr-Sauer, Michael Rossol
  
• NCDB Website by NREL NCDB Team
  

Publications

• Regridding uncertainty for statistical downscaling of solar radiation by Maggie D. Bailey, Douglas Nychka, Manajit Sengupta, Aron Habte, Yu Xie, Soutir Bandyopadhyay
  

WIS2 Global Cache on AWS

Tutorials

• WIS 2.0 video for 19th World Meterological Congress by WMO Secretariat
  

Publications

• Guide to the WMO Information System (WMO-No. 1061), Volume II, WMO Information System 2.0 by World Meteorological Organisation
  
• Manual on the WMO Information System (WMO-No. 1060), Volume II, WMO Information System 2.0 by World Meteorological Organisation
  

Wildfire Projections to Support Climate Resilience

Tutorials

• Interactive Data Access and Visualization by Cal-Adapt: Analytics Engine Team
  
  

Tools & Applications

• Analytics Engine Data Catalog by Cal-Adapt: Analytics Engine Team
  
• AWS Command Line Interface (CLI) by Cal-Adapt: Analytics Engine Team
  
• AWS Explorer Functions by Cal-Adapt: Analytics Engine Team
  
• Cal-Adapt Data Download Tool (DDT) by Cal-Adapt: Analytics Engine Team
  
• Direct Connection in Xarray with S3 Path by Cal-Adapt: Analytics Engine Team
  

Atmospheric Models from Météo-France

Tools & Applications

• Windguru.cz by Windguru
  
• Windy.com by Windy
  

NOAA Climate Forecast System (CFS)

Publications

• The NCEP Climate Forecast System Reanalysis by Saha, Suranjana, and Coauthors
  
• The NCEP Climate Forecast System Version 2 by Saha, Suranjana, and Coauthors
  

NOAA Global Forecast System (GFS) netCDF Formatted Data

Publications

• NOAA’s Global Forecast System Data in the Cloud for Community Air Quality Modeling. Atmosphere 2023, 14, 1110. by Campbell, P.C.; Jiang, W.; Moon, Z.; Zinn, S.; Tang, Y.
  
• U.S. EPA’s application of NOAA’s GFS netCDF data on AWS and NACC-Cloud: 'Expedited modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the US.' by Simon et al.
  

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

Publications

• Multi-Radar Multi-Sensor (MRMS) Quantitative Precipitation Estimation: Initial Operating Capabilities by Jian Zhang, Kenneth Howard, Carrie Langston, Brian Kaney, Youcun Qi, Lin Tang, Heather Grams, Yadong Wang, Stephen Cocks, Steven Martinaitis, Ami Arthur, Karen Cooper, Jeff Brogden, David Kitzmiller
  
• Multi-Radar Multi-Sensor (MRMS) Severe Weather and Aviation Products: Initial Operating Capabilities by Travis M. Smith, Valliappa Lakshmanan, Gregory J. Stumpf, Kiel L. Ortega, Kurt Hondl, Karen Cooper, Kristin M. Calhoun, Darrel M. Kingfield, Kevin L. Manross, Robert Toomey, Jeff Brogden
  

NOAA Unified Forecast System Subseasonal to Seasonal Prototypes

Publications

• Advances in Seasonal Predictions of Arctic Sea Ice With NOAA UFS by Jieshun Zhu, Wanqiu Wang, Yanyun Liu, Arun Kumar, and David DeWitt
  
• The impact of tropical SST biases on the S2S precipitation forecast skill over the Contiguous United States in the UFS global coupled model by Hedanqiu Bai, Bin Li, Avichal Mehra, Jessica Meixner, Shrinivas Moorthi, Sulagna Ray, Lydia Stefanova, Jiande Wang, Jun Wang, Denise Worthen, Fanglin Yang, and Cristiana Stan
  

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

Tutorials

• NOAA Center for Artificial Intelligence (NCAI) TC PRIMED Learning Journey Jupyter Notebooks by Naufal Razin (CSU/CIRA), Kathy Haynes (CSU/CIRA), Chris Slocum (NOAA/STAR)
  
  Amazon S3

Tools & Applications

• tcprimedapi by TC PRIMED Development Team
  

Whiffle WINS50 Open Data on AWS

Tutorials

• Whiffle WINS50 Tutorials by Whiffle
  

Publications

• Investigating energy production and wake losses of multi-gigawatt offshore wind farms with atmospheric large-eddy simulation by Baas, P., Verzijlbergh, R., van Dorp, P., and Jonker, H
  

Co-Produced Climate Data to Support California's Resilience Investments

Tutorials

• Example Use Cases of Data Via Cal-Adapt Analytics Engine by Cal-Adapt Analytics Engine Team
  
  

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

Publications

• Assessment Report: Analysis of Impact of Nonstationary Climate on NOAA Atlas 14 Estimates by NOAA
  

Danish Meteorological Institute (DMI) Open Data Forecasts

Tutorials

• Guide to processing forecast data with Python by Danish Meteorological Institute
  
  Amazon S3

ERA5-for-WRF Open Data on AWS

Tutorials

• ERA5-for-WRF Tutorials by Veer Renewables
  

Ensemble Meteorological Dataset for Planet Earth, EM-Earth

Publications

• EM-Earth: The Ensemble Meteorological Dataset for Planet Earth by Guoqiang Tang, Martyn P. Clark & Simon Michael Papalexiou
  

Korea Meteorological Administration (KMA) GK-2A Satellite Data

Publications

• GK2A Full Fact Sheet by KMA
  

NOAA Integrated Surface Database (ISD)

Tutorials

• NOAA Integrated Surface Database (ISD) Example Notebook by Zac Flamig
  Amazon AthenaAWS CloudFormationAWS GlueAmazon SageMaker

NOAA Multi-Year Reanalysis of Remotely Sensed Storms (MYRORSS)

Publications

• Comprehensive radar data for the contiguous United States: Multi-year reanalysis of remotely sensed storms. by Williams, S. S., K. L. Ortega, T. M. Smith, and A. E. Reinhart
  

NOAA National Digital Forecast Database (NDFD)

Publications

• NDFD Product Spreadsheet (excel file) by NOAA MDL
  

NOAA U.S. Climate Normals

Tutorials

• Investigating environmental characteristics of US cities using publicly available ASDI datasets using SageMaker Studio Lab (SMSL) by Darren Ko
  
  Amazon SageMaker Studio Lab

NOAA Wave Ensemble Reforecast

Tutorials

• Examples and scripts to support users to download, visualize, and process the WAVEWATCH III output files by Ricardo Campos
  

NSF NCAR Curated ECMWF Reanalysis 5 (ERA5)

Publications

• The ERA5 global reanalysis by Hersbach et al 2020
  

SILAM Air Quality

Tutorials

• Simple examples by Roope Tervo
  

Ships of Opportunity - Air-sea fluxes - Meteorological and flux - Real time

Tutorials

• Accessing and search for any AODN dataset by Laurent Besnard
  
  
• Accessing IMOS-SOOP-Air Sea Flux: Flux product from the Research Vessel Tangaroa by Laurent Besnard
  
  

Ships of Opportunity - Air-sea fluxes - Meteorological and sea surface temperature - Real time

Tutorials

• Accessing and search for any AODN dataset by Laurent Besnard
  
  
• Accessing IMOS - SOOP-Air Sea Flux (ASF) sub-facility - Meteorological and SST Observations by Laurent Besnard
  
  

IGP Coal Plant

Tutorials

• Analyzing Coal Plant Data and Emission Calculation by APAD