Global sea surface temperature and currents from high-resolution Community Earth System Model (CESM) simulation

International Laboratory for High-Resolution Earth System Prediction (iHESP)

This new laboratory seeks to develop a new advanced modeling framework for high-resolution multiscale Earth System predictions and provide reliable information at both global and regional scales, taking full advantage of the combined expertise of three world-class institutions, Qingdao Pilot National Laboratory for Marine Science and Technology (QNLM), Texas A&M University (TAMU), and National Center for Atmospheric Research (NCAR).

iHESP’s goal is to advance challenging fundamental science and technology in Earth system modeling and prediction.

Cutting Edge Research

Model Simulation of West Pacific Typhoons

High-Resolution Global Coupled Climate Modelling

Current coarse resolution global coupled models have limited skill in simulating climate and weather extreme events like tropical cyclones, winter storms, drought and flooding. One area of research at iHESP is to study whether high atmospheric model resolution to permit tropical cyclones and high ocean model resolution to resolve mesoscale processes improve the model skill.

High-Resolution Ensemble Decadal Climate Prediction

Can a high-resolution coupled model which resolves frontal and meso-scale ocean-atmospheric interactions improve the realism of simulated climate variability and predictions at seasonal-to-decadal scales? This is another question we are interested in exploring. We use ensembles of high-resolution and low-resolution model simulations to answer this question.

Regional Downscaling

It is prohibitively expensive to run global models at convection resolving atmospheric and sub-mesoscale resolving ocean resolutions. We are developing tools and methods for online regional dynamic downscaling at iHESP.

Online Coupled Data-Assimilation

We are actively working on developing an online coupled data-assimilation system using an ensemble Kalman filter (EnKF). This new data assimilation capability will be implemented to both regional and global models.

Modelling Tools

At iHESP, we use the Community Earth System Model (CESM), Weather Research and Forecast (WRF) model, and Regional Ocean Modelling System (ROMS). We also develope methods to couple these three models together using CESM/CIME framework.

News

Photo of Ping Chang

Dr. Ping Chang Elected An AMS Fellow

August 2019: Dr. Ping Chang has been elected a 2020 fellow of the American Meteorological Society (AMS). Please follow this link for more information.

Photo of Sanjiv Ramachandran

Dr. Sanjiv Ramachandran joins iHESP team

August 2019: Dr. Sanjiv Ramachandran joined iHESP as an Assistant Research Scientist.

GopalAbishek.png

Future iHESP team member: Dr. Abishek Gopal

August 2019: Dr. Abishek Gopal will join iHESP as an Assistant Research Scientist in October 2019. 

fu_paper_photo_c.jpg

Dr. Dan Fu and team publishes a new paper

August 2019: Dr. Dan Fu publishes a new paper titled "High Resolution Tropical Channel Model Simulations of Tropical Cyclone Climatology and Intraseasonal-to-Interannual Variability" in the Journal of Climate, on simulating and predicting tropical cyclone variability. 

ihesp_data_storage.png

iHESP gets fast data storage

August 2019: iHESP fast data storage (1.66 PB raw space) has been installed at the TAMU HPC facility center connected directly via Infiniband interconnect to TAMU's HPC system Ada.

Events

Photo of iHESP Office

Annual iHESP Meeting

December 2019: Annual iHESP meeting will be held at iHESP main office in College Station, Texas during December 16-18, 2019.

Photo of NCAR Office

iHESP committee meetings

February 2020: 2nd iHESP Steering Committee meeting and 1st iHESP Science Advisory Committee meeting will be held at the NCAR office in Boulder, Colorado during February 24-26, 2020.

Through our joint efforts to tackle the most fundamental problems in climate modeling and prediction research, iHESP will play a leading role in the advancement of climate science and prediction.