The Regional Climate Model Evalua4on System (RCMES): Introduc4on and Demonstra4on

Transcription

1 The Regional Climate Model Evalua4on System (RCMES): Introduc4on and Demonstra4on Paul C. Loikith, Duane E. Waliser, Chris MaEmann, Jinwon Kim, Huikyo Lee, Paul M. Ramirez, Andrew F. Hart, Cameron E. Goodale, Michael J. Joyce, Shakeh E. Khudikyan, Maziyar Boustani, Kim Whitehall, Alex Goodman, Jesslyn WhiEell, and Paul Zimdars WCRP VAMOS/CORDEX Workshop on La4n- America and Caribbean CORDEX LAC Phase II- Caribbean April, 7-9, 2014 Santo Domingo, Dominican Republic

2 The Regional Climate Model Evalua4on System (RCMES) Joint collabora4on: JPL/NASA, UCLA Designed to facilitate model evalua4on and decision making Provides access to numerous (NASA) observa4on datasets (RCMED) Python- based built- in toolkit (RCMET) has regridding capabili4es and calculates and visualizes several common metrics (RMSE, Bias) Connec4on to the Earth System Grid Federa4on allowing for access to CORDEX and CMIP5 models. Ini4al target: CORDEX

3 RCMES Architecture ( Powered by Apache Open Climate Workbench) Other Data Centers (ESGF, DAAC, ExArch Network) User input Model data TRMM Metadata URL Extract OBS data Extract model data MODIS AIRS CERES Soil moisture ETC Extractor for various data formats Data Table Data Table Cloud Database Table Data Table Data Table Data Table Common Format, Na?ve grid, Efficient architecture Regridder (Put the OBS & model data on the same?me/space grid) Analyzer Calculate evalua?on metrics & assessment model input data Visualizer (Plot the metrics) Data extractor (Binary or netcdf) Use the re- gridded data for user s own analyses and VIS. Assess. modeling Raw Data: Various sources, formats, Resolu4ons, Coverage RCMED (Regional Climate Model Evalua4on Database) A large scalable database to store data from variety of sources in a common format RCMET (Regional Climate Model Evalua4on Tool) A library of code for extrac4ng data from RCMED and model and for calcula4ng evalua4on metrics

4 Evalua4on of Cloud Compu4ng for Storage & Applica4on of NASA Observa4ons Challenge Regional climate model evalua4on with daily temporal resolu4on to assess representa4on of extreme events. More voluminous, requires scalability in web services, system throughput, and also elas4city based on study demands Objec?ve Understand and evaluate popular cloud compu4ng technologies, and provide a framework for selec4ng the best one for suppor4ng Regional Climate Model Evalua4on System (RCMES) & applica4ons such as the Na4onal Climate Assessment and IPCC s CORDEX regional model evalua4ons. Results 90" 80" Conducted evalua4on demonstra4ng 44 % 70" avg query 4me speedup of PostGIS over MySQL 50" 40" for 5 years of 5 parameters of obs data in RCMES 30" Will incorporate into RCMES to facilitate NCA and CORDEX regional model evalua4ons. Second' 60" 20" 10" 0" wrm_trmm_pcp"" Query'"datapoint_id"'column'for'5'years'(2002:2007)' wrm_airs_surfairtemp_a"" ceres_par"" ceres_cre_lw_mon"" ceres_ave_sza"" MySQL"" PostgreSQL" C. MaWmann, D. Waliser, J. Kim, C. Goodale, A. Hart, P. Ramirez, D. Crichton, P. Zimdars, M. Boustani, H. Lee, P. Loikith, K. Whitehall, C. Jack, B. Hewitson. Cloud Compu4ng and Virtualiza4on Within the Regional Climate Model and Evalua4on System. Earth Science Informa0cs, 2013.

5 Meet the RCMES Team Science Team: Duane Waliser (PI, JPL/Caltech, UCLA), Jinwon Kim (UCLA), Paul Loikith (JPL/Caltech), Huikyo Lee (JPL/Caltech), Kim Whitehall (Howard University) IT Team: Chris MaWmann (PI, JPL/Caltech, UCLA), Paul Ramirez (JPL/Caltech), Cameron Goodale (JPL/Caltech), Michael Joyce (JPL/Caltech), Maziyar Boustani (JPL/Caltech), Andrew Hart (JPL/Caltech), Shakeh Khudikyan (JPL/Caltech), Jesslyn WhiEel (University of California, Berkeley), Alex Goodman (Colorado State University)

6 Ac4ve CORDEX Collabora4ons * * * * * * * *

7 Observa4ons Remote Sensing, In Situ, Reanalysis Temperature (AIRS, CRU, UDEL) Precipita4on (TRMM, CRU, UDEL, CPC, GPCP) Radia4on/clouds (CERES, MODIS) Sea surface height (AVISO) Sea surface temperature (AMSRE) Winds (QuikSCAT) Mul4variate reanalysis (MERRA, NARR, NLDAS, ERA- Interim) More to come

8 Jet Propulsion Laboratory California Ins4tute of Technology Ongoing Model Evalua4on Studies Bayesian model averaging for op4mal mul4- model ensemble configura4ons. (Huikyo Lee - lead) K- means clustering to evaluate surface temperature variance and skewness over South America (Huikyo Lee - lead). Large scale meteorological paeerns associated with temperature extremes over North America (Paul Loikith - lead )

9 Ways to Use RCMES RCMES in a virtual machine environment Downloadable from /downloads Comes with all Python libraries installed RCMES open source code from Apache Open Climate Workbench Source code downloadable from hep://climate.incubator.apache.org/ Requires all necessary Python libraries installed on local machine Easily customizable, can interact easily with your own model/obs data Available in command line and interac4ve users interface (UI) formats. Downloading instruc4ons available at

10 Future Direc4on Observa4ons and metrics con4nue to be added to RCMES Community can contribute to RCEMT via the Apache Open Climate Workbench (hep://climate. apache.org/) Integra4on of metrics into the RCMES toolkit Expanding user community and fostering new collabora4ons within CORDEX Connect to ESGF * (in progress) Webinar?

11 RCMES Demonstra4on Youtube video at: hep:///training/videos

12 Thank you! Contact informa4on: Paul Loikith: Duane Waliser: (science PI) Chris MaEmann: (IT PI) General ques4ons: rcmes- Websites: /downloads hep://climate.incubator.apache.org/ Ques4ons?