The Land-Atmosphere-Ocean Interaction (LAOI) Group is directed by Prof. Xubin Zeng.
Vision: Enhanced understanding and prediction of the Earth system.
Mission: To improve the understanding and modeling of land-atmosphere-ocean interface processes in the Earth system by integrating theoretical analysis and modeling with global ground-based, airborne, and satellite observations; and to act as a bridge linking global observation, parameterization, climate modeling, and weather forecasting communities on interface processes.
Research areas: Atmosphere-ocean-land-ice interface processes; Weather and climate modeling; Hydrometeorology; Remote sensing; Nonlinear dynamics; Big data analytics
- Over 190 peer-reviewed publications (including invited ones) in the above research areas
- Over 140 invited presentations and hundreds of contributed talks
- Development, analysis, and interpretation of remote sensing and in situ data over land, ocean, and sea-ice
- Development of land model and various parameterizations for weather and climate models
- Development of theories to understand the climate system
- Close interdisciplinary collaborations with scientists in hydrology, ecology, geoscience, oceanography, remote sensing, and applied mathematics
- Acting as a bridge linking measurement technology, in situ and satellite data, and modeling communities
Achievement indicators: One of the good indicators of our research achievements is the wide use of our research products in the world, including the implementation of model parameterizations and value-added global datasets in the NCEP and ECMWF operational models for weather forecasting, in the NCAR Community Earth System Model (CESM) and DOE Energy Exascale Earth System Model (E3SM) for climate studies, in WRF for regional studies, and in other regional and global models.
Research Highlights in value-added data, model and algorithm, and theoretical developments are provided here
Research Style can be simply summarized by the popular slogans:
"Think Different" and "Just Do It"
Research Grants from NSF, NASA, DOE, NOAA, US Army Corps of Engineers, California Department of Water Resources, EU, and private sector. Current grants are:
- NASA Earth Venture Suborbital-3 (Deputy PI): Aerosol Cloud meTeorology Interactions oVer the western ATlantic Experiment (ACTIVATE) (2019-2023)
- NASA PBL (PI): Preliminary data analysis for the planetary boundary layer incubation study team, (2020-2021)
- NASA MAP (PI): Global Land-Atmosphere-Ocean Interface Process Studies by Integrating the MERRA Reanalysis with Satellite and In situ Data (2014-2020)
- NASA MAP (Co-PI): Improved Understanding of the Coupled Dynamics of Terrestrial Water, Ecosystems, and Climate over the United States Using NU-WRF/Noah-MP (2017-2020)
- NASA SMAP (PI): Using SMAP products and variable bedrock depth data for land model evaluation and improvement (2016-2020)
- NASA Weather (Co-PI): How does the land surface condition affect precipitation of Hurricane Harvey (2017) after landfall? (2018-2019)
- DOE ESM (PI): Improving the interface processes in the DOE/ACME model (2016-2021)
- DOE SciDAC (Co-PI): Assessing and improving the numerical solution of deterministic and stochastic physics and dynamics in the ACME atmosphere model (2017-2022)
- Idaho Power Company (PI): Improving the subseasonal to seasonal climate outlook for IPC operations (2018-2020)
- NOAA NWS (PI): The impact of snowpack on NCEP Weeks 3-4 Forecasts (2018-2020)
- NOAA OAR (Co-PI): Improving National Water Model Snowmelt Runoff Prediction (2018-2020)
- California Department of Water Resources (Co-PI): Seasonal prediction over California and upper Colorado River basin (2020-2021)
- US Army Corps of Engineers (Co-PI): Atmospheric river forecasting for water operations technical support (2020-2021)
Current and Previous Research Members are provided here
Q&A for Prospective Graduate Students are provided here
Climate Dynamics and Hydrometeorology Center (CDHC)
The evolution of our research areas can also be seen via the Research Showcase Program below:
2020 Spring, 2019 Spring, 2018 Spring, 2017 Spring, 2016 Spring, 2015 Spring, 2014 Spring, 2013 Spring, 2012 Spring, 2011 Spring, 2009 Fall, 2009 Spring, 2008 Spring, 2007 Fall, 2007 Spring, 2006 Fall, 2006 Spring, 2005 Fall, 2005 Spring, 2004 Annual, 2003 Annual