Authors: Ziheng Sun*, George Mason University, Liping Di, George Mason University
Keywords: cyberinfrastructure; geospatial web service; atmospheric science; polar science
Session Type: Paper
Start / End Time: 1:10 PM / 2:50 PM
Room: Buchanan, Marriott, Mezzanine Level
Presentation File: No File Uploaded
Numeric models of atmosphere have many different internal mechanisms and input settings based on its contributors and targeted circumstances. Preprocessing is significant for Earth science research to transform the observation data into analysis-ready data as model inputs. Sensitivity analysis is required to test the model by changing one input parameters at one time. Usually one small change in the settings would have sophisticated impacts and very likely lead to totally different simulation outcomes. It is an essential need to inter-compare and validate atmospheric models to evaluate the simulated/reanalyzed products. These steps are taking too much working time of scientists. A lot of organizations and initiatives are investing efforts in building advanced cyberinfrastructure to address this challenge. However, the current cyberinfrastructure is lack of intuitiveness, feasibility, and flexibility. This work aims to create an automation system of preprocessing and facilitate inter-comparison and validation of the big amount of simulated datasets produced by the various atmospheric models. The system is based on the existing community-standard tools including NCO, GrADS, NCL, CDO, netCDF, ncWMS, THREDDS Data Server, etc. We have used the system to assist scientist in comparing Arctic reanalysis products and validate them against ground measurements from IRIS observational network.