Workshop Overview:
Water vapor and cloud – climate feedbacks are currently considered to be the two most important feedbacks in the context of climate change. Although more realistic in terms of water vapor, present-day climate models fail to properly represent the physical processes associated with cloud-climate feedbacks. Remote sensing from space of these small-scale processes, such as clouds, turbulence and convection, is notoriously difficult and is still not good enough in order to provide the necessary constraints that would lead to a better understanding of the climate system and to improved climate prediction.
The goals of this Mini-Program are:
- To bring together scientists from different branches of the climate research community (theory, models, observations) to address key problems in the physics of climate feedbacks;
- To promote the use of remote sensing observational data in the climate physics and climate modeling community;
- To provide guidance on future research and future missions regarding the physics of climate change.
Team Leads
-
California Institute of Technology
-
Joao Teixeira
Jet Propulsion Laboratory
- Tom Ackerman — University of Washington
- Adriana Bailey — University of Colorado
- Kevin W. Bowman — JPL
- Chris Bretherton — University of Washington
- Sambingo Cardoso — National Center for Atmospheric Research
- Mous T. Chahine — JPL
- Suvarchal Kumar Cheedela — Max Planck Institute for Meteorology
- Daniel C. Chung — Caltech
- Anthony B. Davis — JPL
- Andrew Dessler- Texas A&M University
- Eric J. Fetzer — JPL
- Swati Gehlot — Max Planck Institute for Meteorology
- Andrew Gettelman — National Center for Atmospheric Research
- Alex Hall — UCLA
- Andrew Ingersoll — Caltech
- Jonathan H. Jiang — JPL
- Alex K. Jonko — Oregon State University
- Brian H. Kahn — JPL
- Steve A. Klein — Lawrence Livermore National Laboratory
- Daniel Klocke — Max Planck Institute for Meteorology
- Bjorn Lambrigsten — JPL
- Tony Ma — University of Hawaii
- Brian E Mapes — University of Miami
- Joao Paulo A. Martins — University of Lisbon
- Georgios Matheou — Caltech
- Dan McCleese — JPL
- Christine C. Nam — Max Planck Institute for Meteorology
- David Neelin — UCLA
- David Noone — University of Colorado
- Joel Norris — Scripps Institution of Oceanography
- Louise A. Nuijens — UCLA
- Olivier Pauluis — New York University
- Mike S. Pritchard — UCSD
- Phil J. Rasch — Pacific Northwest National Laboratory
- Camille Risi — LMD/IPSL
- William B. Rossow — City College of New York
- Ju-Mee Ryoo — JPL
- Ben D. Santer — Lawrence Livermore National Lab
- Tapio Schneider — Caltech
- Pier Siebesma — Royal Netherlands Meterological Institute
- Graeme L. Stephens — Colorado State University
- Hui Su — JPL
- Kay Suselj — JPL/Caltech
- Joao Teixeira — JPL
- Baijun Tian — JPL
- Duane Waliser — JPL
- Darryn W. Waugh — Johns Hopkins University
- Marcin Witek — JPL
- Rob Wood — University of Washington
- John R. Worden — JPL
- Dong L Wu — JPL
- Yuk Yung — Caltech
- Paquita Zuidema — RSMAS/U of Miami
Presentations
| Speaker | Affiliation | Presentation |
|---|---|---|
| Andrew Gettelman | National Center for Atmospheric Research | Simulating H2O and its Feedbacks ("Water water everywhere") (.pdf) |
| Tapio Schneider | Caltech | Water Vapor and the Dynamics of Climate Changes (.pdf) |
| Joao Teixeira | JPL | Cloud Feedbacks and Climate Models (.pdf) |
| Yuk Yung | Caltech | Climate and Radiation (.pdf) |
| Joao Teixeira | JPL | Study Overview (.pdf) (.pdf) |
| Tom Ackerman | University of Washington | Classification as a Tool for Understanding Cloud Feedback? (.pdf) |
| Chris Bretherton | University of Washington | Cloud Feedback (.pdf) |
| Andrew Dessler | Texas A&M University | Verifying the water vapor feedback using ENSO (.pdf) |
| Eric J. Fetzer | JPL | What is the A-Train Telling Us about Atmospheric Water Vapor (and other feedbacks)? (.pdf) |
| Andrew Gettelman | National Center for Atmospheric Research | Necessary but not sufficient conditions for constraining water vapor feedbacks (.pdf) |
| Steve A. Klein | Lawrence Livermore National Laboratory | Using Ground-Based Remote-Sensors to Study Boundary-Layer Vertical Velocity Statistics (.pdf) |
| Brian E Mapes | University of Miami | Free tropospheric moist processes and climate change feedbacks (.pdf) |
| David Neelin | UCLA | Water vapor and the transition to strong convection (.pdf) |
| David Noone | University of Colorado | Evaluating the rates of exchange in the tropospheric water budget (.pdf) |
| Joel Norris | Scripps Institution of Oceanography | The Role of Dynamics in Cloud Feedbacks (.pdf) |
| Olivier Pauluis | New York University | Isentropic analysis and atmospheric circulation (.pdf) |
| Phil J. Rasch | Pacific Northwest National Laboratory | Uncertainties in Water vapor: Budgets in two versions of CAM (Track 1 and Track 5) (.pdf) |
| William B. Rossow | City College of New York | Cloud—Climate Feedback (.pdf) |
| Ben Santer | Lawrence Livermore National Lab | Observational constraints on the water vapor feedback: A search for the “Hall Effect” (.pdf) |
| Tapio Schneider | Caltech | The relative humidity of the subtropical free troposphere (.pdf) |
| Pier Siebesma | Royal Netherlands Meterological Institute | The difficult art of evaluation clouds and convection representation in GCM’s (.pdf) |
| Graeme L. Stephens | Colorado State University | Low Cloud Feedbacks (.pdf) |
| Hui Su | JPL | Examining Cloud Structure and Cloud Radiative Forcing in Large-Scale Regimes (.pdf) |
| Joao Teixeira | JPL | Cloud Boundary Layers: PDFS and Vertical Structures (.pdf) |
| Darryn W. Waugh | Johns Hopkins University | PDFS of Tropospheric Humidity: Measurements and Theory (.pdf) |
| John R. Worden, | Kevin Bowman | Using Satellite Based Measurements of Water Vapor and its Isotopes to Quantify Water Cycle Sources and Processes (.pdf) |
| Dong L Wu | JPL | Observing Cloud Properties and Processes from the A-Train and Future Sensors (.pdf) |
| Paquita Zuidema | RSMAS/University of Miami | Connecting dynamics to boundary layer cloud properties (.pdf) |
