curius graph

all pages

showing 180651-180700 of 200092 pages (sorted by popularity)
A closer look at Excarta’s AI Weather Models – Excarta
Z Fellows Bios - May 5th-10th 2024 - Google Docs
BCG Announces Collaborations with NASA and USRA to Launch a Generative Artificial Intelligence Lab for Science and Engineering
WakaTime - Dashboards for developers
GFDL’s New Modeling System for Seasonal Predictions – Geophysical Fluid Dynamics Laboratory
Gabriele Farina - The Update Equivalence Framework for Decision-Time Planning
How machine learning can support data assimilation | ECMWF
3 Enhancing the Value and Benefits of S2S Forecasts | Next Generation Earth System Prediction: Strategies for Subseasonal to Seasonal Forecasts | The National Academies Press
Fact sheet: ECMWF’s use of satellite observations | ECMWF
Balancing risk in a changing climate | Our Kettle
Revolutionizing Agricultural Planning: The Impact of Reliable Seasonal Forecasts for AB InBev
Salient at 100+ Accelerator Demo Day_01 Intro and The Problem - YouTube
Without Warning: A Lack of Weather Stations Is Costing African Lives - Yale E360
Emily Li
First Text
People Management Platform | Performance and Engagement Software | Lattice
Bridging the Gap Between Weather and Climate Predictions - Eos
Progress in subseasonal to seasonal prediction through a joint weather and climate community effort | npj Climate and Atmospheric Science
Global warming is changing wine (not yet for the worse) | The Economist
Prospective Knauss Fellows - NOAA Sea Grant
Democratic lawmakers propose legislation to study AI’s environmental impacts | FedScoop
Physical risk is not yet influencing investment decisions in Europe
ClimaX - ClimaX
Machine Learning for Earth System Modeling | ICML 2024
microsoft/subseasonal_data: Data access package for the SubseasonalClimateUSA dataset
ERA5 data  |  Cloud Storage  |  Google Cloud
GMTED2010 | U.S. Geological Survey
ERA5: data documentation - Copernicus Knowledge Base - ECMWF Confluence Wiki
pangeo-data/WeatherBench: A benchmark dataset for data-driven weather forecasting
2308.15560
The Transition from Practical to Intrinsic Predictability of Midlatitude Weather in: Journal of the Atmospheric Sciences Volume 79 Issue 8 (2022)
Mara Quintero Campbell | NIST
WindBorne Systems | Better Weather Data
Who We Are - bellingcat
Toward Zarr-Python 3.0 | Zarr Blog
home - kamilė lukošiūtė
Agenda — SatSummit 2024
AI, Digital Twins to Unleash Wave of Climate Research Innovation | NVIDIA Blog
Jua | AI for weather dependent energy trading
Subseasonal Forecasts of Opportunity Identified by an Explainable Neural Network - Mayer - 2021 - Geophysical Research Letters - Wiley Online Library
Subseasonal Representation and Predictability of North American Weather Regimes Using Cluster Analysis in: Artificial Intelligence for the Earth Systems Volume 2 Issue 2 (2023)
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