How to obtain/plot/analyze data

Last edited by gilbert.p.compo on Fri, 03/09/2012 - 13:12

 

Webtools to plot/analyze data by Function

Data Extraction

  1. NCDC NOMADS and NCMP:  reanalysis (CFSR,NARR,R1,R2); NWP (NAM, GFS, RUC); GENS ensembles, SST
  2. NOAA/ESRL Search and Plot. (R1,R2,20CR, NARR)
  3. IRI (CFSR,20CR,R1,R2)
  4. ECMWF ERA-40, ERA-Interim (Get netCDF or GRIB files from the daily or subdaily data)
  5. Goddard Earth Science Model Data Information Sevices Center (MERRA)
  6. NCAR, Highest-resolution files for all reanalyses, except MERRA.  GRIB parameter field extraction using cURL, and some conversion to netCDF as noted. 
    1. JRA-25: Data Access > Internet Download > Create Your Own File List (e.g. anl_p), use cURL or wget (for files).
    2. ERA-Interim - same as JRA-25.
    3. CFSR - same as JRA-25 (also subset with net CDF format conversion)
    4. 20CR - same as JRA-25
  7. MERRA Data Subsetter  (variable list and what file to look at for a particular variable)
  8. openDAP servers: NOAA/ESRL (20CR,R1,R2,NARR), NCEP, MERRA2D, MERRA3D
  9. OpenDAP: MERRA Gridded Innovations and Observations (GIO)
  10. OpenGrADS.org: GrADS software with additional user functionality, including GUI for reanalyses including NCEP and MERRA

Basic Maps

  1. IRI (CFSR,20CR,R1,R2)
  2. ESRL/PSD Search and Plot (20CR,R1,R2,NARR)
  3. Merra: Uses Giovanni to produce maps or animations of some monthly fields. Can average over successive times.
  4. NOMADS (CFSR,NARR,R1,R2)
  5. ECMWF ERA-40, ERA-Interim (Plot maps)
  6. MERRA Atlas
  7. MERRA Web App

Other Basic Geographic Plots

  1. ESRL: Crossections
  2. Search and Plot
  3. Merra: Uses Giovanni to produce hovmollers of some monthly fields.
  4. KMNI.

Hovmollers

  1. ESRL/PSD: Hovmollers (R1)
  2. IRI

Advanced Plots

  1. ESRL/PSD: Can plot monthly, daily and sub-daily of crossections from composite plotting pages (R1). Anomalies are available.
  2. ESRL/PSD: Hovmollers of means, anomalies of daily data. Anomalies are available (R1).

Composite Maps (Average different non contiguous dates together)

  1. ESRL/PSD: Can plot composite maps and vertical crossectons from composite plotting pages on monthly, daily and sub-daily time scales for R1. Anomalies are available.
  2. ESRL/PSD: Can plot composite maps from plotting pages on monthly, daily and sub-daily timescales for 20CR. Anomalies are available.
  3. GCOS/WGSP: Can plot composite maps of sea level pressure from plotting pages on monthly timescales. Anomalies are available.

Correlation Maps

  1. ESRL/PSD: From monthly NCEP/NCAR R1
  2. KMNI

Timeseries Plots

  1. NOMADS
  2. TDS
  3. NOAA/ESRL PSD: Plot simple timeseries of NCEP/NCAR R1 and 20thC Reanalysis monthly variables
  4. IRI

Timeseries Analysis

  1. KMNI: Plot, compute annual cycle, filter and other tools available for time series analysis. Provides many climate/ocean timeseries.
  2. ESRL/PSD: Correlate and do some other simple analysis on pregenerated or user supplied monthly timeseries
  3. ESRL/PSD: Extract daily timeseries from datasets. Can supply user criteria (e.g. top 10 temperatures in January for a point). R1,20CR
  4. ESRL/PSD: Extract monthly timeseries from datasets.  R1,20CR
  5. IRI

Google Earth

  1. NOAA/ESRL PSD: Create in browser Google Earth plots (20CR, R1)

Miscellaneous

  1. ESRL/PSD Lead/Lag for Composites
  2. ESRL/PSD Lead/Lag for Correlations (maps)
  3. KMNI Smoothed fields, EOF, SVD and other analysis
  4. U. of Miami extreme event finder (20CR)

 

Applications that read/plot/analyze netCDF and/or grib data (non-web)

  1. NCL
  2. GrADS
  3. IDV
  4. Ferret
  5. NCO
  6. CDO
  7. MATLAB
  8. IDL
  9. CDAT

 

 

 

Comments (4)

Re: How to obtaindata

Hi please guide me what gain daily data (tepreture,pressure &etc)

Re: How to obtain/plot/analyze data

This page needs more work. What do users find useful here?

Re: How to obtain/plot/analyze data

I find Panoply incredibly useful to look at NetCDF and GRIB data, maybe you want to list it here too: http://www.giss.nasa.gov/tools/panoply/

Re: How to obtain/plot/analyze data

Stefan,

Adding panoply is a great idea, but Reanalyses.org is a wiki site that depends on users. You can login and add it where you feel it is appropriate. If you have any questions, please feel free to ask or add a question to the Help section.

best wishes,
gil compo

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