October 1, 2020. CLIMA is the Climate Machine, the name of the model. “Caltech’s effort in climate modeling comes at a critical time in the history of climate science,” says John Grotzinger, chair of Caltech’s Division of Geological and Planetary Sciences. Posted on 23 April 2020 in Climate Change, Climate models, Vehicle Manufacturers | Permalink Climate dynamics research in ESE addresses fundamental questions about how Earth’s climatic features are maintained, how they have varied in the past, and how they may change in the future. At the Climate Modeling Alliance, or CliMA for short, a consortium of scientists and engineers from Caltech, JPL, MIT, and the Naval Postgraduate School are building a new climate model from the ground up.They’re fusing Earth observations and high-resolution simulations into a model that will capture important small-scale features, such as clouds and ocean turbulence, better than current models. How can we design the model to optimally exploit emerging hardware architectures? From Schneider, Tapio & Lan, Shiwei & Stuart, Andrew & Teixeira, João. How to Apply; Course Catalog; Course Schedule; Course Descriptions; For Our Department.
Ph.D., Scripps Institution of Oceanography, 2000, Theories of ocean turbulence and its impact on biogeochemistry and present/past climates, Recipient of the Nicholas P. Fofonoff Award (American Meteorological Society), Robert L. and Bettie P. Cody Award (Scripps Institution of Oceanography), Ph.D., Ruprecht-Karls-University, Heidelberg, 2005, Carbon cycle; atmospheric CO2 and methane; space-based measurements of the biosphere, Ph.D., Physics, Ecole Normale Supérieure, Paris, 2011, Radiatively driven convection, wave-mean flow interactions, asymptotic methods in geophysical fluid dynamics, Recipient of the Geophysical Fluid Dynamics Distinguished Scholar Award (Woods Hole Oceanographic Institution), Stochastic methods for emulation and calibration of computer models, Numerical methods for partial differential equations; scientific computing, Core architect of U.S. Navy’s atmosphere model, Recipient of Carl E. and Jesse W. Menneken Award (NPS Foundation), Alan Berman Research Prize (U.S. Navy), Atmosphere dynamics; machine learning for weather prediction, Parameterization of atmospheric turbulence, convection, and clouds, Climate modeling, high-performance parallel computing, Architect of the widely used MITgcm ocean model and Earth System Modeling Framework (ESMF), PhD., Illinois Institute of Technology, 2015, Computational fluid dynamics and High-performance computing, Cloud microphysics and cloud-aerosol interactions, Computational fluid dynamics and magnetohydrodynamics, High-performance computing, machine learning, Robust and accurate numerical methods for partial differential equations, High-performance computing; experienced developer of parallel codes for CPUs and GPUs, Computational fluid dynamics; process models for atmospheric turbulence, convection, and clouds, Representation of natural wetland methane emission in land system models, Representation of below ground carbon cycle in land system models, Uncertainty quantification of Earth system processes, Ph.D., Universitat Politècnica de Catalunya, 2012, Ocean circulation theory; coupled dynamics of atmosphere and oceans; parameterization of ocean processes, Architect of the widely used MITgcm ocean model. The new model integrates greater amounts of observational data from NASA’s Jet Propulsion Laboratory, a CliMA research partner, and simulates critical small-scale features missed in models that focus on larger scales. This model is intended to be capable of “zooming in” to examine detailed regional information as well. Audi of America (AoA) and the Audi Environmental Foundation are awarding a $100,000 grant to the California Institute of Technology (Caltech), the lead institution in the Climate Modeling Alliance (CliMA). Arnold Garnsey | The Schmidt Academy is supported I am currently at Caltech and working on a data-driven climate modeling project (https://clima.caltech.edu) as a postdoc jointly supervised by Prof. Andrew Stuart and Prof. Tapio Schneider.My previous research mainly focused on data-driven turbulence modeling by using Bayesian inference and machine learning techniques. Even with reduced CO2 emissions, Earth will continue to warm and the sea level will continue to rise, but it is unclear by how much. Recipient of L.F. Richardson Prize (Royal Meteorological Society), Sverdrup Gold Medal and Bernhard Haurwitz Prize (both American Meteorological Society). Named one of “20 Best Brains Under 40” (Discover Magazine), David and Lucile Packard Fellow, Alfred P. Sloan Research Fellow. Caltech Researcher Unveils Sensor that Rapidly Detects COVID-19 Infection Status, Severity, and Immunity.
Our model will exploit advances in machine learning and data assimilation to learn from observations and from data generated on demand in targeted high-resolution simulations, for example, of clouds or ocean turbulence. We will provide interfaces to our modeling platform so that it can become the anchor of an ecosystem of front-end apps. The uncertainties in global climate change projections have remained mostly unchanged since the 1960s, despite more than a 108 -fold increase in computer performance. Scripps Institution of Oceanography, 2006, Elementary particle physics, high-performance computing, Statistical models and machine learning techniques for cloud microphysics, Senior Data & Applied Scientist at Microsoft, 2016-2019, Subgrid-scale modeling for atmospheric processes, Land Surface Modeling, radiative transfer theory, and biosphere-atmosphere interactions, Matrix methods related to simulating climate, extreme weather, and ocean dynamics, B.Sc., Lomonosov Moscow State University, Moscow, 2013, Experimental design approaches for optimal placement of high-resolution simulations, Management of large and distributed software projects, Ph.D., Université catholique de Louvain, 1997, Computational fluid dynamics and ocean modelling; extensive experience developing ocean, sea-ice and atmospheric models, B.Sc., University Osnabrück, Germany, 2015; M.Sc., MIT, 2019, Compiler research for heterogenous high-performance computing, Distributed and accelerated computing for high-level programming languages, Ph.D., Hebrew University of Jerusalem, 2016, Process models for atmospheric turbulence, convection, and clouds, Software for high-performance computing, numerical linear algebra, random matrix theory. Coding at the Cutting Edge of Climate Science and Computing, PI: Tapio Schneider and Andrew Stuart These apps may provide detailed models, for example, of flood risks, risks of extreme heat, crop yields, and other climate impacts. How do we optimize hundreds of parameters and quantify their uncertainties in a computationally complex model with a minimum number of model runs? Today, the release of CliMA 0.1 brings us one step closer toward achieving our goals. The consortium is pursuing an aggressive timeline, with hopes to have the new climate model running within the next five years. We are a coalition of scientists, engineers, and applied mathematicians from Caltech, MIT, the Naval Postgraduate School, and NASA’s Jet Propulsion Laboratory. 1995 gegründet, hat sich Caltech Gesellschaft für Kälte- und Klimatechnik mbH in Bremen zu einem kompetenten Ansprechpartner für die Konzeption und Erstellung von Klima- und Lüftungsanlagen entwickelt. © 2019 California Institute of Technology. Research; Academics ; Visit Us; Contact; Get Involved; For Students. Our model will harness more data than ever before, providing a new level of accuracy to predictions of droughts, heat waves, and rainfall extremes. CliMA offers students a unique educational opportunity, simultaneously exposing them to the latest developments in the environmental sciences, computational and mathematical sciences, and space technology. CLIMA in the News . Caltech Researcher Unveils Sensor that Rapidly Detects COVID-19 Infection Status, Severity, and Immunity Wei Gao has redesigned technology he previously used to detect other health conditions so that it can be used to diagnose a COVID infection. Caltech Postdoctoral Scholars Akshay Sridhar and Zhaoyi Shen, together with others, are in the…Read More. Beschreibung.
These uncertainties impede society’s ability to assess environmental risks and take effective adaptation measures. All Rights Reserved. Theodore Y. Wu Professor of Environmental Science and Engineering, Caltech; Senior Research Scientist, JPL Ph.D., Princeton University, 2001 Dynamics of atmospheres and climate changes, including changes in clouds, storminess, and extreme precipitation All Rights Reserved. All CliMA code is written in Julia, a dynamic, high-level programming language for high-performance scientific computing. The grant will fund researchers in their pursuit of a novel new climate model, a critical tool for understanding future global and regional climate patterns. Das California Institute of Technology (deutsch Technische Hochschule Kaliforniens), besser bekannt als Caltech, ist eine private Spitzenuniversität in Pasadena im Los Angeles County, die auf Natur-und Ingenieurwissenschaften spezialisiert ist. David and Lucile Packard Fellow, Dynamics of waves and small-scale mixing in oceans, Recipient of NOAA Climate and Global Change Postdoctoral Fellowship, Computational mathematics and scientific computing, Recipient of Carl E. and Jesse W. Menneken Award (NPS Foundation), Remote sensing of atmospheric trace gases; use of data in chemistry, carbon, and transport models, Principal investigator of NASA Aura TES mission and former JPL Earth Science section manager, Statistical models and machine learning techniques, Statistical analysis and machine learning, High-performance computing and numerical methods, Managed projects and missions in Earth and planetary science as JPL Chief Scientist (2006-2016) and Chief Scientist for Mars Exploration (1994-2006), Science architect for JPL/NASA Mars Exploration Program, Recipient of NASA’s Outstanding Leadership and Distinguished Service Medals, B.A., Mount Saint Mary’s University, 2017. Tapio Schneider, a climate scientist at Caltech, and his colleagues from Caltech, Princeton, JPL, and MIT are building a climate model that will use machine learning, powerful computing, and petabytes of data to help resolve some of the unknowns around how, why, and … How do clouds feed back onto climate warming?
They are developing software at the cutting edge of science and high-performance computing, from low-level compute kernels that are optimized to run on CPUs and GPUs, to general models of cloud turbulence and microphysics. The many partner institutions are bringing different research expertise to the project. Atmospheric CO2 concentrations now exceed 400 parts per million, a level last seen over 3 million years ago, when Earth was 2–3°C warmer and the sea level was 10–20 meters higher than today. by the generosity of. All Rights Reserved. CliMA v0.1.0 consists of code for large eddy simulations (LES) of turbulent flows in atmosphere and oceans and for dynamical cores of general circulation models (GCM) for the ocean and atmosphere. The Bruce Murray Lab Caltech Center for Comparative Planetary Evolution (3CPE) Climate Modeling Alliance (CliMA) Geomechanics and Mitigation of Geohazards (GMG) The Linde Center Seismological Laboratory Terrestrial Hazards Observation and Reporting (THOR) Research includes the large-scale dynamics of the atmosphere and oceans, the hydrologic cycle and how it responds to climate changes, monsoon dynamics, and the dynamics of the Southern Ocean, and …
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