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IBM AND NASA RELEASE OPEN-SOURCE AI MODEL ON HUGGING FACE FOR WEATHER AND
CLIMATE APPLICATIONS

September 23, 2024

YORKTOWN HEIGHTS, N.Y., Sept. 23, 2024 — IBM today announced a new AI foundation
model for a variety of weather and climate use cases, available in open-source
to the scientific, developer, and business communities. Developed by IBM and
NASA, with contributions from Oak Ridge National Laboratory, the model offers a
flexible, scalable way to address a variety of challenges related to short-term
weather as well as long-term climate projection.

Credit: Shutterstock

Because of its unique design and training regime, the weather and climate
foundation model can tackle far more applications than existing weather AI
models, as outlined in a paper recently published on arXiv, “Prithvi WxC:
Foundation Model for Weather and Climate.” Potential applications include
creating targeted forecasts based on local observations, detecting and
predicting severe weather patterns, improving the spatial resolution of global
climate simulations, and improving how physical processes are represented in
numerical weather and climate models. In one experiment in the above identified
paper, the foundation model accurately reconstructed global surface temperatures
from a random sample of only five percent original data, suggesting a broader
application to problems in data assimilation.

This model was pre-trained on 40 years of Earth observation data from NASA’s
Modern-Era Retrospective analysis for Research and Applications, Version 2
(MERRA-2). As a foundation model, it has a unique architecture which allows it
to be fine-tuned to global, regional, and local scales. This flexibility makes
it suited for a range of weather studies.

The foundation model is available for download on Hugging Face, along with two
fine-tuned versions of the model that tackle specific scientific and
industry-relevant applications. These are:

 * Climate and weather data downscaling: A common meteorological practice is
   downscaling—inferring high-resolution outputs from low-resolution variables.
   Typical data inputs include temperature, precipitation, and surface winds,
   all of which can have varied resolutions. The model can depict both weather
   and climate data at up to 12x resolution, generating localized forecasts and
   climate projections. The fine-tuned downscaling model is available on the IBM
   Granite page on Hugging Face.
 * Gravity wave parameterization: Gravity waves are ubiquitous throughout the
   atmosphere and can affect many atmospheric processes related to climate and
   weather, such as cloud formation and aircraft turbulence. Traditionally,
   existing numerical climate models have not sufficiently captured gravity
   waves, which leads to uncertainties in terms of how exactly gravity waves can
   affect climate processes. This weather and climate foundation model can help
   scientists better estimate gravity wave generation, to improve the accuracy
   of numerical weather and climate models and constrain uncertainty when
   simulating future weather and climate events. This gravity wave
   parameterization model is being released as part of the NASA-IBM Prithvi
   family of models on Hugging Face.

“Advancing NASA’s Earth science for the benefit of humanity means delivering
actionable science in ways that are useful to people, organizations, and
communities. The rapid changes we’re witnessing on our home planet demand this
strategy to meet the urgency of the moment,” said Karen St. Germain, director of
the Earth Science Division of NASA’s Science Mission Directorate. “The NASA
foundation model will help us produce a tool that people can use: weather,
seasonal, and climate projections to help inform decisions on how to prepare,
respond, and mitigate.”

“This space has seen the emergence of large AI models that focus on a fixed
dataset and single use case — primarily forecasting. We have designed our
weather and climate foundation model to go beyond such limitations so that it
can be tuned to a variety of inputs and uses,” said Juan Bernabe-Moreno,
Director of IBM Research Europe and IBM’s Accelerated Discovery Lead for Climate
and Sustainability. “For example, the model can run both on the entire earth as
well as in a local context. With such flexibility on the technology side, this
model is well-suited to help us understand meteorological phenomena such as
hurricanes or atmospheric rivers, reason about future potential climate risks by
increasing the resolution of climate models, and finally inform our
understanding of imminent severe weather events.”

“As a premier research institution and computing facility, we’re focused on
supporting teams to make research breakthroughs across many areas of science,”
said Arjun Shankar, director of the National Center for Computational Sciences
at Oak Ridge National Laboratory. “Our collaboration with IBM and NASA to
support the creation of the Prithvi weather and climate foundation model was a
key part of our goal to bring advanced computing and data to problems of
national importance, in this case, for weather and climate applications, which
need continued computational science and model skill improvements to be
impactful.”

IBM has already collaborated with Environment and Climate Change Canada (ECCC)
with a view to test the flexibility of the model with additional weather
forecasting use cases. With the model, ECCC is exploring very short-term
precipitation forecasts using a technique called precipitation nowcasting that
ingests real-time radar data as input. The team is also testing the downscaling
approach from global model forecasts at 15 km to km-scale resolution.

This weather and climate model is part of a larger collaboration between IBM
Research and NASA to use AI technology to explore our planet, and joins the
Prithvi family of AI foundation models. Last year, IBM and NASA made the Prithvi
geospatial AI foundation model the largest open-source geospatial AI model
available on Hugging Face. This geospatial foundation model has since been used
by governments, companies, and public institutions to examine changes in
disaster patterns, biodiversity, land use, and other geophysical processes. The
foundation model and the gravity wave parameterization model can be accessed
through the NASA-IBM Hugging Face page and the downscaling model can be accessed
through the IBM Granite Hugging Face page.

About IBM

IBM is a leading provider of global hybrid cloud and AI, and consulting
expertise. We help clients in more than 175 countries capitalize on insights
from their data, streamline business processes, reduce costs and gain the
competitive edge in their industries. Thousands of governments and corporate
entities in critical infrastructure areas such as financial services,
telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red
Hat OpenShift to affect their digital transformations quickly, efficiently and
securely. IBM’s breakthrough innovations in AI, quantum computing,
industry-specific cloud solutions and consulting deliver open and flexible
options to our clients. All of this is backed by IBM’s long-standing commitment
to trust, transparency, responsibility, inclusivity and service.

--------------------------------------------------------------------------------

Source: IBM



LEADING SOLUTION PROVIDERS






 * OFF THE WIRE

 * INDUSTRY HEADLINES

 * 

SEPTEMBER 24, 2024

 * NIST Awards $6M to Carnegie Mellon University to Establish AI Research Center
 * Intel Unveils Next-Gen AI Solutions with the Launch of Xeon 6 and Gaudi 3
 * MSI Unveils New Server Platforms Powered by Intel Xeon 6 P-Cores
 * Infleqtion Secures $1.15M DOE SBIR Grant to Advance Quantum Software Platform
 * United Weather Centres West Supercomputer Becomes Operational in Iceland
 * SK hynix Brings CXL Optimization Software HMSDK to Linux for Enhanced AI
   Memory Performance
 * TSMC Collaborates with Ansys and Microsoft to Accelerate Photonic Simulations

SEPTEMBER 23, 2024

 * IBM and NASA Release Open-Source AI Model on Hugging Face for Weather and
   Climate Applications
 * India: MIT Roundtable Unites Global CEOs and Prime Minister Modi to Discuss
   Emerging Tech
 * Intel’s Altera Unveils New FPGA Tools and Kits to Boost AI and Edge
   Applications
 * Diraq Publishes Findings on Improving Qubit Stability and Scalability
 * D-Wave Expands Executive Leadership Bench with New Chief Human Resources
   Officer
 * Code@TACC Alum Lands 1st Professional Job at UT Austin

SEPTEMBER 20, 2024

 * G42 Collaborates with NVIDIA to Deliver Next-Gen Climate Solutions Using
   Earth-2
 * Microsoft Signs 20-Year Deal for Carbon-Free Energy from Constellation’s
   Renewed Nuclear Plant
 * Atom Computing Secures $10M from PensionDanmark to Boost Quantum Expansion in
   Denmark
 * Motivair’s MCDU-50 Powers Next-Gen Cooling for High-Performance Platforms
   Like Nvidia’s GB-200
 * Argonne’s McInnes Named DOE Office of Science Distinguished Scientist Fellow
 * Viridien Deploys AI and HPC Tools in New Large-Scale Sensing Collaboration
 * D-Wave Partners with Staque to Drive Quantum Computing Adoption in the Middle
   East

More Off The Wire

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