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First Street
AI for Earth: From scribes to deeds | LinkedIn
WindBorne Systems - by Nikhil Basu Trivedi and Mike Smith
WindBorne raises $6M seed round for smarter weather balloons
$6 Million of New Funding for Smart Weather Balloons: Meet WindBorne CEO John Dean
Contributions of Uncertainty in Droplet Nucleation to the Indirect Effect in Global Models
52 USC 30101: Definitions
Text - S.2770 - 118th Congress (2023-2024): Protect Elections from Deceptive AI Act | Congress.gov | Library of Congress
Openearthai Inc. from San Francisco, CA – company details
D5A7D79AB467EDA7488C21BA36D46A1BB85AEF398E2D
huricane - Search / X
Leon Simons on X: "Remember Hurricane Katrina?🌀 That was 2005. 2024 will be a year to remember! https://t.co/ule4Y8BAsz" / X
AI First - Google for Startups Accelerator
NASA and IBM Research Apply AI to Weather and Climate | Earthdata
3 Predictions for 3 Years in D.C. Tech | LinkedIn
Dynamical Tests of a Deep-Learning Weather Prediction Model in: Artificial Intelligence for the Earth Systems - Ahead of print
Climate Prediction Center - Atlantic Hurricane Outlook
Ryan Kim
State of startup compensation, H2 2023
Joint & Dual Degrees | Stanford Graduate School of Business
Climate change's disruptive impact on global supply chains and the urgent call for resilience
Introducing Aurora: The first large-scale foundation model of the atmosphere - Microsoft Research
Stanford Dropout and Startup Founder Says AI Leveled the Playing Field - Business Insider
AI4NWP Workshop: NOAA Physical Sciences Laboratory
Can Artificial Intelligence and Machine Learning Assist Climate Scientists? - Climate Program Office
NOAA uses artificial intelligence to translate forecasts, warnings into Spanish and Chinese | National Oceanic and Atmospheric Administration
NOAA, Microsoft team up to advance Climate-Ready Nation | National Oceanic and Atmospheric Administration
AI agreement to enhance environmental monitoring, weather prediction | National Oceanic and Atmospheric Administration
Unifying Innovations in Forecasting Capabilities Workshop 2024 (UIFCW24) - Earth Prediction Innovation Center
Satellites | National Oceanic and Atmospheric Administration
Taking Data Further with Standards
Enabling US Leadership in Artificial Intelligence for Weather | National Academies
ECMWF | Charts
Section 6.2.2 Anomaly Correlation Coefficient - Forecast User Guide - ECMWF Confluence Wiki
On Some Limitations of Current Machine Learning Weather Prediction Models - Bonavita - 2024 - Geophysical Research Letters - Wiley Online Library
Machine learning and physics in weather forecasting: a discussion between Alan Thorpe and Florian Pappenberger | ECMWF
Clay | AI for Earth
Leonard Susskind - Wikipedia
Poincaré and the Three-Body Problem - Wikipedia
sapienne | a community of women building in AI
NOAA organization chart | National Oceanic and Atmospheric Administration
NOAA's GOES-U | NESDIS
Enter the ensembles | ECMWF
AIFS Machine Learning data | ECMWF
Sergey Frolov: NOAA Physical Sciences Laboratory
Home: EPIC and UFS - Earth Prediction Innovation Center
2305.14342
NSSL: Corey Potvin
NOAA - Global Systems Laboratory
Improving Subseasonal Forecasting in the Western U.S. with Machine Learning - Microsoft Research