by Patrick Haertel
Over the past two decades we have developed a new Lagrangian method for simulating geophysical fluid circulations. It was first applied to lakes and idealized oceans, and later to the atmosphere, but in recent years we have focused on developing a global fully-Lagrangian coupled model (LCM). We are currently using the LCM to study how the Madden Julian Oscillation (a large-scale tropical weather disturbance) is expected to change as the oceans warm as part of a research project funded by the National Science Foundation. This page provides a list of publications that discuss the development of this method and summarize applications to lakes, oceans, and atmospheres. Note that the method and many applications are reviewed in publication #8. If you are interested in using one of our Lagrangian models, please contact patrick.haertel_at_yale.edu and describe the application you have in mind. These models are coded in C++ and currently configured to run on a Unix based operating system (e.g., a Linux computer or Mac).
14. A 100-year coupled ocean-atmosphere simulation of how the MJO changes with increasing greenhouse gases: "Prospects for Erratic and Intensifying Madden-Julian Oscillations"" by Patrick Haertel
13. Developing and testing a global Lagrangian ocean model: "A Lagrangian ocean model for climate studies" by Patrick Haertel
12. Studying how the Madden Julian Oscillation is expected to change as the oceans warm: "Sensitivity of the Madden Julian Oscillation to ocean warming in a Lagrangian atmospheric model" by Patrick Haertel
11. Tracking air parcels that moisten on their way to the convective region of the Madden Julian Oscillation: "Origins of moist air in global Lagrangian simulations of the Madden-Julian Oscillation" by Patrick Haertel, Bill Boos, and Katherine Straub (Atmosphere 2017)10. Role of Equatorial Kelvin waves in the Madden Julian Oscillation: "Transforming circumnavigating Kelvin waves that initiate and dissipate the Madden Julian Oscillation" by Patrick Haertel, Katherine Straub, and Andrew Budsock (QJRMS 2015)
9. Lagrangian simulations of the Madden Julian Oscillation: "Lagrangian Overturning and the Madden Julian Oscillation" by Patrick Haertel, Katherine Straub, and Alexey Fedorov (QJRMS 2014).
8. Review of the Lagrangian method and applications to lakes, oceans, and atmospheres "A Lagrangian method for simulating geophysical fluids" by Patrick Haertel, (AGU Monograph on Lagrangian Atmospheric Modeling, 2012) .
7. An ocean with zero diffusivity: ( The Ventilated Ocean, (JPO 2012) ).
6. Application to large scale atmospheric equatorial waves: "Simulating convectively coupled Kelvin waves using Lagrangian Overturning for a convective parameterization" by P. T. Haertel and K. Straub (QJRMS 2010) .
5. Idealized simulations of Atlantic meridional overturing circulation: "Lagrangian analysis of the meridional overturning circulation in an idealized ocean basin" by L. P. Van Roekel, T. Ito, P. T. Haertel, and D. A. Randall (JPO 2009)
4. Reproduction of classical western boundary current solutions and first published basin scale ocean simulations: "Constructing an idealized model of the North Atlantic Ocean using slippery sacks" by P. T. Haertel, Luke Van Roekel, and T. Jensen (Ocean Modelling 2009).
3. Application to Lake Upwelling ( "Simulating upwelling in a large lake using slippery sacks" by P. T. Haertel, D. A. Randall, and T. Jensen (MWR 2004) )
2. Conforming parcel concept for three-dimensions: "Could a pile of slippery sacks behave like an ocean?" by P. T. Haertel and D. A. Randall (MWR 2002).
1. Original two-dimensional Lagrangian model: "Some simple simulations of thunderstorm outflows" by P. T. Haertel, R. H. Johnson, and S. N. Tulich (JAS 2001).
Andrew Budsock, William Boos, Ming Cai, Kerry Emanuel, Alexey Fedorov, Dargan Frierson, Mike Haertel, Taka Ito, Tommy Jensen, Richard Johnson, George Kiladis, Alejandro Moreno, Dave Randall, Sebastian Reich, Benjamin Schaeffer, Raymond Shaw, Katherine Straub, Stephen Tulich, Luke Van Roekel
This material is based upon work supported by the National Science Foundation under Grants ATM-0500061, ATM-0754088, ATM-0849323, OCE-0901921, AGS-1116885, AGS-1561066. Any opinions, findings and conclusions or recomendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. This research was also supported in part by grants from Department of Energy Office of Science (DE-FG02-08ER64590) and the David and Lucile Packard Foundation.