[Rda-users] NCAR Research Data Archive Blog

[NCAR Research Data Archive Blog]

NCAR Research Data Archive Blog

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JRA-55C in the RDA: The Japanese 55-year Reanalysis Using Conventional Data  
Only

Posted: 15 Jul 2015 12:19 PM PDT
http://feedproxy.google.com/~r/NcarResearchDataArchiveBlog/~3/ZI7Cvb3wv1Q/jra-55c-in-rda-japanese-55-year.html?utm_source=feedburner&utm_medium=email

As a subset of the Japanese 55-year Reanalysis (JRA-55) project, the  
Meteorological Research Institute of the Japan Meteorological Agency has  
conducted a global atmospheric reanalysis that assimilates only  
conventional surface and upper air observations, with no use of satellite  
observations, using the same data assimilation system as the JRA-55. The  
project, named the JRA-55 Conventional (JRA-55C), aims to produce a more  
homogeneous dataset over a long period, unaffected by changes in historical  
satellite observing systems. The dataset is intended to be suitable for  
studies of climate change or multidecadal variability. The reanalysis  
period of JRA-55C is from November 1972 to December 2012. The JMA  
recommends the use of JRA-55 to extend JRA-55C back to January 1958.The RDA  
has downloaded all JRA-55C data. The entire archive has been reorganized  
into single parameter time series, and model resolution data has been  
transformed to a regular Gaussian grid. The JRA-55C products are currently  
being made accessible to RDA registered users of JRA-55, and will appear  
incrementally via the Data Access tab on the dataset homepage JRA-55C: The  
Japanese 55-year Reanalysis Using Conventional Data Only

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GRIB Practical Exercise 1: Data Discovery

Posted: 14 Jul 2015 10:05 PM PDT
http://feedproxy.google.com/~r/NcarResearchDataArchiveBlog/~3/b1b7rsBqDDI/grib-practical-exercise-1-data-discovery.html?utm_source=feedburner&utm_medium=email

If you want to learn more about a specific data format, scroll down to the  
blue box at the bottom of the NCAR RDA home page and follow the links.  The  
Format Descriptions link to the encyclopedic WMO documentation for people  
who need to write interfaces to GRIB data.

Scroll to the bottom of rda.ucar.edu and follow the links to GRIB  
documentation.
The links to the WMO standards documentation can be intimidating for the  
neophyte user.  Worry not; you need not understand all the details to get  
started.  The documentation will make more sense after you take a few GRIB  
datasets out for a spin.

First, take a moment to explore the NCAR RDA GRIB holdings by using our  
faceted search tool, which you can invoke through the 'Find Data' tab.   
That produces a drop down menu.  Select 'All Datasets'.
Click on the 'Find Data' tab and select 'All Datasets' to perform a faceted  
search.This generates a list of the over 600 datasets in our archive.   
Narrow the search by  selecting 'Data Format'.  You will find the GRIB  
datasets under WMO GRIB.  Older holdings may be in GRIB, aka GRIB0.  Most  
are in GRIB1, the format that superceded/extended the original GRIB.

Narrow down the search by 'Data Format' and scroll to the bottom to find  
WMO GRIB0, GRIB1, and GRIB2.Some are in GRIB2, which extends GRIB1 with  
compression (more on that in a later post).  Notice that more datasets are  
in GRIB1 than any other data format.  GRIB2 has been embraced by NOAA/NCEP,  
but is not yet in wide use by national weather services outside of the USA.  
With the advent of GRIB2, Version 2, other national centers will switch to  
GRIB2.

Next, we will take a sample GRIB2 dataset out for a test spin using a  
simple Graphical User Interface (GUI).  After that, we will set up  
wgrib/wgrib2, powerful command line tools that can process data in a faster  
and more automated fashion.

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