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 Data Explorer by Craig Oliveira
  
• 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
  

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
  

NEXRAD on AWS

Tutorials

• Explore NEXRAD in a Browser-Based Notebook with Scigantic by Scigantic
  
• 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 Data Explorer by Craig Oliveira
  
• 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
  

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
  

Multi-Scale Ultra High Resolution (MUR) Sea Surface Temperature (SST)

Tutorials

• Python Jupyter Notebooks by Chelle Gentemann, Rich Signell
  
• Python Reader Software by PO.DAAC
  

Tools & Applications

• HTTPS server by PO.DAAC
  
• OPeNDAP server by Physical Oceanography Distributed Active Archive Center (PO.DAAC)
  
• State of the Ocean (SOTO) server by PO.DAAC
  
• THREDDS server by PO.DAAC
  
• Web discovery service by PO.DAAC
  

Publications

• A multi-scale high-resolution analysis of global sea surface temperature by Chin, Toshio Michael, Jorge Vazquez-Cuervo, and Edward M. Armstrong
  
• GHRSST Data Processing Specification by GHRSST Project
  
• Improving our knowledge about the oceans by providing cloud-based access to large datasets by Chelle Gentemann
  

Louisiana Watershed Initiative (LWI) Model Data

Tutorials

• ENDMC Documentation by The Water Institute
  

Tools & Applications

• go-consequences by United States Army Corps of Engineers
  
• HEC-FIA by United States Army Corps of Engineers
  
• HEC-FIA documentation by United States Army Corps of Engineers
  
• HEC-HMS by United States Army Corps of Engineers
  
• HEC-HMS documentation by United States Army Corps of Engineers
  
• HEC-RAS by United States Army Corps of Engineers
  
• HEC-RAS documentation by United States Army Corps of Engineers
  
• LWI ENDMC Datan and Model Catalog. by The Water Institute
  

CMIP6 GCMs downscaled using WRF

Tutorials

• Downscaling file descriptions, directory structure, and data access by Stefan Rahimi & Lei Huang
  
• Jupyter Notebook Example by Stefan Rahimi
  

Publications

• An Overview of the Western United States Dynamically Downscaled Dataset (WUS-D3) by Rahimi, S., Huang, L., Norris, J., Hall, A., Goldenson, N., Krantz, W., Bass, B., Thackeray, C., Lin, H., Chen, D., Dennis, E., Collins, E., Lebo, Z. J., Slinskey, E., Graves, S., Biyani, S., Wang, B., Cropper, S., and the UCLA Center for Climate Science Team
  
• Is Bias Correction in Dynamical Downscaling Defensible? by Risser, M. D., Rahimi, S., Goldenson, N., Hall, A., Lebo, Z. J., and Feldman, D. R.
  
• Memo on the Development and Availability of Dynamically Downscaled Projections Using WRF by Stefan Rahimi
  
• Memo on the Evaluation of Downscaled GCMs Using WRF by Stefan Rahimi
  
• Memorandum on Evaluating Global Climate Models for Studying Regional Climate Change in California by Will Krantz, David Pierce, Naomi Goldenson, Daniel Cayan
  
• Understanding the Cascade: Removing GCM Biases Improves Dynamically Downscaled Climate Projections by Rahimi, S., Huang, L., Norris, J., Hall, A., Goldenson, N., Risser, M., Feldman, D. R., Lebo, Z. J., Dennis, E., and Thackeray, C.
  

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

Tutorials

• Analyzing Data Through a Global Warming Level Lens by Cal-Adapt Analytics Engine Team
  
  
• List Data Hosted on The Cal-Adapt Data Catalog by Cal-Adapt Analytics Engine Team
  
  
• Tutorial on Data Access Using `climakitae` 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
  

Coupled Model Intercomparison Project 6

Tutorials

• Analyze terabyte-scale geospatial datasets with Dask and Jupyter on AWS by Ethan Fahy and Zac Flamig
  Amazon EC2Amazon EKSAmazon S3AWS CloudFormation
• Comparing CMIP6 Zarr vs NetCDF Holdings by Aparna Radhakrishnan
  Amazon S3
• Finding CMIP6 data using intake-esm and plotting time series for points by Zac Flamig
  AWS CloudFormationAmazon SageMaker
• Getting Started with CMIP6 Data by Aparna Radhakrishnan
  
• Processing CMIP6 data in Zarr format with Dask & AWS Fargate by Zac Flamig
  AWS CloudFormationAWS FargateAmazon SageMaker

Publications

• CMIP6 Data Informational Session Video Recording by ASDI
  
• Special issue | Coupled Model Intercomparison Project Phase 6 (CMIP6) Experimental Design and Organization by V. Eyring
  

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 National Water Model CONUS Retrospective Dataset

Tutorials

• Explore Repository of Tutorials on National Water Model V2.1 Retrospective Dataset in Zarr by James McCreight
  
• Explore the National Water Model V2.0 Retrospective in Zarr by Rich Signell
  
• Explore the National Water Model V2.1 Retrospective Dataset in Zarr by James McCreight, Ishita Srivastava, Rich Signell
  
• Processing the 250 TB NWM dataset with Coiled, Dask, and Xarray by Sarah Johnson (Coiled)
  

Publications

• NOAA's National Water Model: Advancing Operational Hydrology Through Continental-scale Modeling. by Brian Cosgrove, David Gochis, Trey Flowers, Aubrey Dugger, Fred Ogden, Tom Graziano, Ed Clark, et al; 2024
  
• On Strictly Enforced Mass Conservation Constraints for Modeling the Rainfall-Runoff Process by Jonathan M. Frame, Frederik Kratzert, Hoshin V. Gupta, Paul Ullrich and Grey S. Nearing
  
• Simulating storm surge and compound flooding events with a creek-to-ocean model: Importance of baroclinic effects by Fei Ye, 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
  

Planette C3S Seasonal Forecast Data

Tutorials

• Accessing C3S Seasonal Forecast Data with Python by Aodhan Sweeney-Jaramillo
  

Tools & Applications

• icechunk by earth-mover
  
• xarray by xarray Developers
  
• zarr-python by zarr Developers
  

Publications

• C3S Seasonal Forecasts Documentation by Copernicus Climate Change Service
  
• SEAS5: The new ECMWF seasonal forecast system by Johnson, S. J., et al.
  

Planette ERA5 Archive

Tutorials

• Accessing ERA5 Data with Python by Aodhan Sweeney-Jaramillo
  

Tools & Applications

• icechunk by earth-mover
  
• xarray by xarray Developers
  
• zarr-python by zarr Developers
  

Publications

• ERA5 Documentation by ECMWF
  
• The ERA5 global reanalysis by Hersbach, H., et al.
  

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
  

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)
  

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
  

SondeHub Radiosonde Telemetry

Tutorials

• Loading example notebooks into SageMaker by Michaela Wheeler
  Amazon SageMaker
• Using Athena to read radiosonde data by Michaela Wheeler
  Amazon Athena
• Using pysondehub to read radiosonde data by Michaela Wheeler
  Amazon S3

Tools & Applications

• pysondehub by Sondehub
  

Publications

• STM32 Development Boards (literally) Falling From The Sky (How to submit data) by Mark Jessop & Michaela Wheeler
  

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

• Open Data Roadmap - Transition to Open Data by ECMWF
  

Earth Radio Occultation

Tutorials

• Tutorial Demonstrations for Working with GNSS Radio Occultation Data in AWS Open Data Registry archive by Stephen Leroy, Amy McVey, Hailing Zhang, Chi Ao
  Amazon S3Amazon EC2AWS Batch

Tools & Applications

• Utilities for Handling Data in the AWS Open Data Registry archive of GNSS Radio Occultation Data by Stephen Leroy, Amy McVey
  

Publications

• A technical description of atmospheric sounding by GPS occultation by Hajj, G.A. et al.
  
• Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System by Kursinski, E.R. et al.
  

IDEAM - Colombian Radar Network

Tutorials

• Ciencia de Datos Hidrometeorológicos con Python by Alfonso Ladino, Nicole Rivera, Max Grover
  
• 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
  

Met Office Blended Probabilistic Forecast – Global gridded percentiles

Tutorials

• Introduction - IMPROVER Documentation by Met Office
  
• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Blended Probabilistic Forecast – Global gridded probabilities

Tutorials

• Introduction - IMPROVER Documentation by Met Office
  
• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Blended Probabilistic Forecast – Global spot percentiles

Tutorials

• Introduction - IMPROVER Documentation by Met Office
  
• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Blended Probabilistic Forecast – Global spot probabilities

Tutorials

• Introduction - IMPROVER Documentation by Met Office
  
• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Blended Probabilistic Forecast – UK Spot Percentiles

Tutorials

• Introduction - IMPROVER Documentation by Met Office
  
• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Blended Probabilistic Forecast – UK Spot Probabilities

Tutorials

• Introduction - IMPROVER Documentation by Met Office
  
• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Blended Probabilistic Forecast – UK gridded percentiles

Tutorials

• Introduction - IMPROVER Documentation by Met Office
  
• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

Met Office Blended Probabilistic Forecast – UK gridded probabilities

Tutorials

• Introduction - IMPROVER Documentation by Met Office
  
• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

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
  

Met Office Global and Regional Ensemble Prediction System - UK (MOGREPS-UK) 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 Forecast System (GFS)

Tutorials

• NOAA Global Forecast System (GFS) quickstart notebook on AWS by Benoit de Chateauvieux
  

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.
  

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
  

NOAA High-Resolution Rapid Refresh (HRRR) Model

Tutorials

• HRRR-B Python package: download and read HRRR grib2 files by Brian Blaylock
  
• The HRRR Zarr Archive Managed by MesoWest by Taylor Gowan
  

Publications

• Using Cloud Computing to Analyze Model Output Archived in Zarr Format by Taylor A. Gowan, John D. Horel, Alexander A. Jacques, and Adair Kovac
  
• Using the U.S. Climate Reference Network to Identify Biases in Near- and Sub-Surface Meteorological Fields in the High-Resolution Rapid Refresh (HRRR) Weather Prediction Model by Temple R. Lee, Ronald D. Leeper, Tim Wilson, Howard Diamond, Tilden P. Meyers, and David D. Turner
  

NOAA's Coastal Ocean Reanalysis (CORA) Dataset: 1979-2022

Tutorials

• Using Python to Access Coastal Ocean Reanalysis (CORA) Data by NOAA's Center for Operational Oceanographic Products and Services
  

Tools & Applications

• Coastal Ocean Reanalysis Use cases by NOAA's Center for Operational Oceanographic Products and Services
  

Publications

• Assessment of water levels from 43 years of NOAA’s Coastal Ocean Reanalysis (CORA) for the Gulf of Mexico and East Coasts by Rose, Linta; Widlansky, Matthew J.; Feng, Xue; Thompson, Thompson; Asher, Taylor G.; Dusek, Gregory; Blanton, Blanton; Luettich, Richard A. Jr.; Callahan, John; Brooks, William; Keeney, Analise; Haddad, Jana; Sweet, William; Genz, Ayesha; Hovenga, Paige; Marra, John & Tilson, Jeffrey
  
• NOAA Technical Report NOS CO-OPS 108: NOAA’s Coastal Ocean Reanalysis: Gulf of Mexico, Atlantic, and Caribbean (January 2025) by Keeney, Analise; Dusek, Gregory; Callahan, John; Ratcliff, John; Jima, Tigist; Brooks, William; Marcy, Doug; Blanton, Brian; Tilson, Jeffrey; Asher, Taylor G.; Leuttich, Richard A.; Widlansky, Matthew J.; Rose, Linta; Morse, Cheryl; Haddad, Jana; & Waring, Blake
  

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
  

Global Cache of Japan

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
  

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

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

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

Tutorials

• Coupled forecasting development by Met Office
  
• Ocean models by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

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

Tutorials

• Coupled forecasting development by Met Office
  
• Ocean models by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

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

Tutorials

• Coupled forecasting development by Met Office
  
• Ocean models by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

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

Tutorials

• Coupled forecasting development by Met Office
  
• Ocean models by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

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

Tutorials

• Numerical weather prediction models by Met Office
  
• The Met Office Unified Model by Met Office
  

Tools & Applications

• Iris by Iris Contributors
  

NEXRAD ARCO - Analysis-Ready Cloud-Optimized Weather Radar

Tutorials

• Get To Know A Dataset: NEXRAD-ARCO by Alfonso Ladino-Rincon
  
  

Tools & Applications

• radar-datatree - Examples and tutorials for accessing ARCO weather radar data by Alfonso Ladino-Rincon
  

Publications

• Radar DataTree: A FAIR and Cloud-Native Framework for Scalable Weather Radar Archives by Alfonso Ladino-Rincon and Stephen W. Nesbitt
  

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 Emergency Response Imagery

Tutorials

• ERI notebook using SageMaker Studio Lab (SMSL) by Mya Sears
  
  Amazon SageMaker Studio Lab
• Using Emergency and Pre-Event Imagery by Jon Sellars
  

Publications

• Open data helps recovery in the aftermath of devastating weather events by Jena Kent
  

NOAA GFS - dynamical.org Icechunk Zarr

Tutorials

• NOAA GFS analysis — Quickstart by dynamical.org
  
  
• NOAA GFS forecast — Heating degree days: GFS vs AIFS by dynamical.org
  
  
• NOAA GFS forecast — Quickstart by dynamical.org
  
  

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 Multi-Radar/Multi-Sensor System (MRMS)

Tools & Applications

• Collection of Jupyter Notebooks using Python for working with MRMS Data by Project Pythia Community
  

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 North American Multi-Model Ensemble (NMME)

Tools & Applications

• Real-time Usage by NWS Climate Prediction Center NMME
  

Publications

• NMME : Meeting Future Needs Workshop Report by Christine, Bassett, Jessie, Carman, D.K. Kang, and Mark Olsen
  
• NMME Articles by Multiple publications listed in the provided link
  

Rain over Africa

Tutorials

• How to use the data by Adrià Amell
  Amazon S3
• Reading RoA data by Adrià Amell
  Amazon S3

Publications

• Probabilistic near real-time retrievals of Rain over Africa using deep learning by Adrià Amell, Lilian Hee, Simon Pfreundschuh, and Patrick Eriksson
  

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
  

Atmospheric Models from Météo-France

Tools & Applications

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

Aurora Multi-Sensor Dataset

Tutorials

• Introduction to Visualizing Sensor Types (Jupyter notebook) by Andrei Bârsan (note: Aurora makes no representations as to the accuracy or functionality of the tutorial)
  Amazon SageMaker Studio Lab

Publications

• "Pit30M: A benchmark for global localization in the age of self-driving cars", in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4477-4484) by Martinez, J., Doubov, S., Fan, J., Bârsan, I. A., Wang, S., Máttyus, G., Urtasun, R.
  

Danish Meteorological Institute (DMI) Reanalysis dataset v0.5

Tutorials

• DANRA figures by Danish Meteorological Institute
  
  Amazon S3
• Looking at distributions by Danish Meteorological Institute
  
  Amazon S3

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

Publications

• Atmospheric Circulation Drivers of Extreme High Water Level Events at Foggy Island Bay, Alaska by Peter A. Bieniek, Li Erikson, and Jeremy Kasper
  
• Dynamical Downscaling of ERA-Interim Temperature and Precipitation for Alaska by Peter A. Bieniek, Uma S. Bhatt, John E. Walsh, T. Scott Rupp, Jing Zhang, Jeremy R. Krieger, and Rick Lader
  

ECMWF AIFS Single - dynamical.org Icechunk Zarr

Tutorials

• ECMWF AIFS Single forecast — Heating degree days: GFS vs AIFS by dynamical.org
  
  
• ECMWF AIFS Single forecast — Quickstart by dynamical.org
  
  

Ford Multi-AV Seasonal Dataset

Tutorials

• Autonomous Driving Data Service (ADDS) by Ajay Vohra, Amazon
  Amazon EKSAmazon RedshiftAmazon S3Amazon FSx
• Ford AV Dataset Tutorial by Ford Motor Company
  

NOAA Analysis of Record for Calibration (AORC) Dataset

Tutorials

• Explore the AORC 1.1 dataset in Zarr by Michael AuCoin
  

Publications

• The Office of Water Prediction's Analysis of Record for Calibration, version 1.1: Dataset description and precipitation evaluation (09 July 2023). J. Am. Water Resour. Assoc., 59 (6). 1246-1272. by Greg Fall, David Kitzmiller, Sandra Pavlovic, Ziya Zhang, Nathan Patrick, Michael St. Laurent, Carl Trypaluk, Wanru Wu, and Dennis Miller
  

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 GEFS - dynamical.org Icechunk Zarr

Tutorials

• NOAA GEFS analysis — Quickstart by dynamical.org
  
  
• NOAA GEFS forecast, 35 day — Quickstart by dynamical.org
  
  

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 HRRR - dynamical.org Icechunk Zarr

Tutorials

• NOAA HRRR analysis — Quickstart by dynamical.org
  
  
• NOAA HRRR forecast, 48 hour — Quickstart by dynamical.org
  
  

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
  

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
  

DWD ICON-EU - dynamical.org Icechunk Zarr

Tutorials

• DWD ICON-EU forecast, 5 day — Quickstart by dynamical.org
  
  

Danish Meteorological Institute (DMI) Open Data Forecasts

Tutorials

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

ECMWF AIFS ENS - dynamical.org Icechunk Zarr

Tutorials

• ECMWF AIFS ENS forecast — Quickstart by dynamical.org
  
  

ECMWF IFS ENS - dynamical.org Icechunk Zarr

Tutorials

• ECMWF IFS ENS forecast, 15 day, 0.25 degree — Quickstart by dynamical.org
  
  

ERA5-for-WRF Open Data on AWS

Tutorials

• ERA5-for-WRF Tutorials by Veer Renewables
  

East Coast Community Ocean Forecast System (ECCOFS)

Tools & Applications

• ROMS model outputs in AWS can be readily visualized and analyzed in Python using the xroms tools. by XROMS
  

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

Publications

• GK2A Full Fact Sheet by KMA
  

Met Office UK Land Surface Observations

Tutorials

• UK Land Surface Observations Usage Examples by Met Office
  

Met Office UK Marine Observations

Tutorials

• UK Marine Observations Usage Examples by Met Office
  

Met Office UK Radar Observations on a 2-year rolling archive

Tutorials

• Radar by Met Office
  

NOAA Global Surface Summary of Day

Tutorials

• ML Demo: Predicting Air Quality w/ ASDI NOAA + OpenAQ Datasets in SageMaker Studio Lab (SMSL) by Aaron Soto
  
  Amazon SageMaker Studio Lab

NOAA HYSPLIT-compatible meteorological data archives

Tutorials

• HYSPLIT Basic Tutorial by NOAA ARL HYSPLIT
  

NOAA Integrated Surface Database (ISD)

Tutorials

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

NOAA MRMS - dynamical.org Icechunk Zarr

Tutorials

• NOAA MRMS CONUS analysis, hourly — Quickstart by dynamical.org
  
  

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 National Water Model Short-Range Forecast

Publications

• Harmonic Oscillator Seasonal Trend (HOST) Model for Hydrological Drought Pattern Identification and Analysis by K. Raczyński, J. Dyer
  

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
  

NOAA nClimGrid and Livneh Gridded Historical Climate Observation Thresholds

Tutorials

• U.S. CRIS Resources by U.S. CRIS
  

NOAA/PMEL Ocean Climate Stations Moorings

Publications

• OCS publications - All OCS-relevant publications are updated at the URL below. by PMEL
  

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
  

GRAF Reforecast

Publications

• Global reforecasts from MPAS “GRAF” with mesh refinement over the US and Europe by Thomas M. Hamill, Raghu Raj Prasanna Kumar, Karthik Kashinath2, Carl Ponder, Mike Pritchard, Tao Ge, Akshay Subramanian, Jaideep Pathak, John Wong, Brett Wilt, Peter Neilley