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<a style="color:#888;font-size:22px;font-family:Arial,Helvetica,Sans-Serif;font-weight:normal;text-decoration:none;" href="http://ncarrda.blogspot.com/" title="(http://ncarrda.blogspot.com/)">NCAR Research Data Archive Blog</a>
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<a name="1" style="font-family:Arial,Helvetica,Sans-Serif;font-size:18px;" href="http://feedproxy.google.com/~r/NcarResearchDataArchiveBlog/~3/ZI7Cvb3wv1Q/jra-55c-in-rda-japanese-55-year.html?utm_source=feedburner&utm_medium=email">JRA-55C in the RDA: The Japanese 55-year Reanalysis Using Conventional Data Only</a>
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<span>Posted:</span> 15 Jul 2015 12:19 PM PDT</p>
<div style="margin:0;font-family:Georgia,Helvetica,Arial,Sans-Serif;line-height:140%;font-size:13px;color:#000000;"><div style="font-family: calibri, arial, helvetica, verdana, sans-serif; font-size: 16px; line-height: 18px; padding: 0px;">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.</div><div style="font-family: calibri, arial, helvetica, verdana, sans-serif; font-size: 16px; line-height: 18px;">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 <a href="http://rda.ucar.edu/datasets/ds628.2/">JRA-55C: The Japanese 55-year Reanalysis Using Conventional Data Only</a></div><img src="http://feeds.feedburner.com/~r/NcarResearchDataArchiveBlog/~4/ZI7Cvb3wv1Q?utm_source=feedburner&utm_medium=email" height="1" width="1" alt=""/></div>
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<a name="2" style="font-family:Arial,Helvetica,Sans-Serif;font-size:18px;" href="http://feedproxy.google.com/~r/NcarResearchDataArchiveBlog/~3/b1b7rsBqDDI/grib-practical-exercise-1-data-discovery.html?utm_source=feedburner&utm_medium=email">GRIB Practical Exercise 1: Data Discovery</a>
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<span>Posted:</span> 14 Jul 2015 10:05 PM PDT</p>
<div style="margin:0;font-family:Georgia,Helvetica,Arial,Sans-Serif;line-height:140%;font-size:13px;color:#000000;">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.<br /><br /><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody><tr><td style="text-align: center;"><a href="http://4.bp.blogspot.com/-E5w6VmB5FzU/VZWkxGnAvkI/AAAAAAAAAOM/WJG9Vrgepjw/s1600/Slide1.png" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="http://4.bp.blogspot.com/-E5w6VmB5FzU/VZWkxGnAvkI/AAAAAAAAAOM/WJG9Vrgepjw/s320/Slide1.png" /></a></td></tr><tr><td class="tr-caption" style="text-align: center;">Scroll to the bottom of rda.ucar.edu and follow the links to GRIB documentation.</td></tr></tbody></table><br /><a name='more'></a>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. <br /><br />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'.<br /><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody><tr><td style="text-align: center;"><a href="http://4.bp.blogspot.com/-ityixlF7ywE/VZWktZzWl9I/AAAAAAAAAOA/F292EFjbUFA/s1600/RDAFindData.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="http://4.bp.blogspot.com/-ityixlF7ywE/VZWktZzWl9I/AAAAAAAAAOA/F292EFjbUFA/s320/RDAFindData.jpg" /></a></td></tr><tr><td class="tr-caption" style="text-align: center;">Click on the 'Find Data' tab and select 'All Datasets' to perform a faceted search.</td></tr></tbody></table>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. <br /><br /><table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody><tr><td style="text-align: center;"><a href="http://3.bp.blogspot.com/-g74VkZLRDAg/VZWktcdcozI/AAAAAAAAAN8/nNIIaqjjlBg/s1600/RDAGRIB.jpg" imageanchor="1" style="margin-left: auto; margin-right: auto;"><img border="0" src="http://3.bp.blogspot.com/-g74VkZLRDAg/VZWktcdcozI/AAAAAAAAAN8/nNIIaqjjlBg/s320/RDAGRIB.jpg" /></a></td></tr><tr><td class="tr-caption" style="text-align: center;">Narrow down the search by 'Data Format' and scroll to the bottom to find WMO GRIB0, GRIB1, and GRIB2.</td></tr></tbody></table>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.<br /><br />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.<img src="http://feeds.feedburner.com/~r/NcarResearchDataArchiveBlog/~4/b1b7rsBqDDI?utm_source=feedburner&utm_medium=email" height="1" width="1" alt=""/></div>
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