SEQUENTIAL INDEX OF RECIPES

• Recipe-001: Writing a Recipe
• Recipe-002: Saving GrADS variable data to a text file
• Recipe-003: Using PyGrADS to save variable data to a text file
• Recipe-004: Creating GrADS binary gridded files using FORTRAN
• Recipe-005: Creating GrADS binary station data from ASCII
• Recipe-006: Creating GrADS binary output for use by another application
• Recipe-007: Drawing a color bar while skipping contours
• Recipe-008: Using PyGrADS to draw contours on top of a true-color image of the earth (Blue Marble)
• Recipe-009: Scatter plot with linear fit and basic statistics
• Recipe-010: Blue to red color bar for negative to positive numbers
• Recipe-011: Using server-side operations to speed up analysis of OPeNDAP/GDS datasets
• Recipe-012: Converting GPCC ASCII files to Binary and GRIB-1
• Recipe-013: Gridding and Plotting Station Data
• Recipe-014: Accessing MERRA data on FTP/OPeNDAP with GrADS
• Recipe-015: Easily opening MERRA OPeNDAP datasets
• Recipe-016: Accessing MERRA data with a Graphical User Interface
• Recipe-017: Subsetting and reformating MERRA data with Lats4d
• Recipe-018: Regridding of MERRA data for comparison with other reanalyses
• Recipe-019: Comparing Reanalyses with interpolation from MERRA to NCEP Grid
• Recipe-020: Spaghetti and Box-and-whisker plots based on GFS ensemble forecasts
• Recipe-021: Using GDS Server-side Commands to Plot Reanalysis Time Series
• Recipe-022: Adding a Legend to a Line Plot
• Recipe-023: Drawing Terrain in Arbitrary Cross Sections
• Recipe-024: Using the Ensemble Dimension with Monthly Mean Diurnal files from MERRA
• Recipe-025: Computing Total Totals, Storm-relative Helicity, Wind-chill Temperature and other Indices
• Recipe-026: Using World Coordinates to Annotate your Plots
• Recipe-027: Drawing Cloud Types

RECIPES BY TOPICS

Importing Data into GrADS

Gridded Data

• Creating GrADS binary gridded files using FORTRAN
• Converting GPCC ASCII files to Binary and GRIB-1
• Creating GrADS binary gridded files using C
• Creating GrADS binary gridded files using Python
• Creating NetCDF/HDF-4/GRIB-1 files with LATS4D

Station Data

• Creating GrADS binary station data from ASCII
• Gridding and Plotting Station Data
• Creating GrADS binary station files using FORTRAN
• Creating GrADS binary station files using C
• Creating GrADS binary station files using Python

Exporting Data from GrADS

ASCII Data

• Saving GrADS variable data to a text file
• Using PyGrADS to save variable data to a text file

Binary Data

• Creating GrADS binary output for use by another application

NetCDF, HDF, GRIB Data

• Subsetting and reformating MERRA data with Lats4d

GrADS Scripting

• Scatter plot with linear fit and basic statistics
• Blue to red color bar for negative to positive numbers
• Adding a Legend to a Line Plot
• Drawing Terrain in Arbitrary Cross Sections
• Using World Coordinates to Annotate your Plots
• Drawing Cloud Types

GrADS for the Web

WxMaps

Meteograms

Image Generation

Working with Near Real-time Analysis and Forecasting Data

NCEP/GFS

• Spaghetti and Box-and-whisker plots based on GFS ensemble forecasts

NASA/GSFC GEOS-5

Working with Reanalysis Data

NASA/GSFC MERRA

• Accessing MERRA data on FTP/OPeNDAP with GrADS
• Easily opening MERRA OPeNDAP datasets
• Accessing MERRA data with a Graphical User Interface
• Subsetting and reformating MERRA data with Lats4d
• Regridding of MERRA data for comparison with other reanalyses
• Comparing Reanalyses with interpolation from MERRA to NCEP Grid
• Using GDS Server-side Commands to Plot Reanalysis Time Series

NCEP/NCAR

ECMWF ERA

Interfaces

Python (PyGrADS)

• Using PyGrADS to save variable data to a text file
• Using PyGrADS to draw contours on top of a true-color image of the earth (Blue Marble)

Perl (Gerl)

PHP (PHPGrADS)

TCL (TclGrADS)

User Defined Extensions

This section contains Recipes based on the OpenGrADS User Defined Extensions or any other extension made available by users.

Miscelaneous

Regridding

• Creating GrADS binary output for use by another application

Working with Remote OPeNDAP/GDS Datasets

• Using server-side operations to speed up analysis of OPeNDAP/GDS datasets
• Regridding of MERRA data for comparison with other reanalyses
• Using GDS Server-side Commands to Plot Reanalysis Time Series

Map Projetions (PDEF)

Graphical User Interfaces

• Accessing MERRA data with a Graphical User Interface