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re: Issue The byterange handling of the following URLS fails. ### Problem 1: "https://crudata.uea.ac.uk/cru/data/temperature/HadCRUT.4.6.0.0.median.nc#mode=bytes" It turns out that byterange in hdf5 has two possible targets: S3 and not-S3 (e.g. a thredds server or the crudata URL above). Each uses a different HDF5 Virtual File Driver (VFD). I incorrectly set up the byterange code in libhdf5 so that it would choose one or the other of the two VFD's for any netcdf-c library build. The fix is to allow it to choose either one at run-time. ### Problem 2: "https://noaa-goes16.s3.amazonaws.com/ABI-L1b-RadF/2022/001/18/OR_ABI-L1b-RadF-M6C01_G16_s20220011800205_e20220011809513_c20220011809562.nc#mode=bytes,s3" When given what appears to be an S3-related URL, the netcdf-c library code converts it into a canonical, so-called "path" format. In casing out the possible input URL formats, I missed the case where the host contains the bucket ("noaa-goes16"), but not the region. So the fix was to check for this case. ## Misc. Related Changes 1. Since S3 is used in more than just NCZarr, I changed the automake/cmake options to replace "--enable-nczarr-s3" with "--enable-s3", but keeping the former option as a synonym for the latter. This also entailed cleaning up libnetcdf.settings WRT S3 support 2. Added the above URLS as additional test cases ## Misc. Un-Related Changes 1. CURLOPT_PUT is deprecated in favor to CURLOPT_UPLOAD 2. Fix some minor warnings ## Open Problems * Under Ubuntu, either libcrypto or aws-sdk-cpp has a memory leak.
51 lines
1.9 KiB
Plaintext
51 lines
1.9 KiB
Plaintext
netcdf HadCRUT.4.6.0.0.median {
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dimensions:
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latitude = 36 ;
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longitude = 72 ;
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field_status_string_length = 1 ;
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time = UNLIMITED ; // (2062 currently)
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variables:
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float latitude(latitude) ;
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latitude:standard_name = "latitude" ;
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latitude:long_name = "latitude" ;
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latitude:point_spacing = "even" ;
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latitude:units = "degrees_north" ;
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latitude:axis = "Y" ;
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float longitude(longitude) ;
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longitude:standard_name = "longitude" ;
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longitude:long_name = "longitude" ;
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longitude:point_spacing = "even" ;
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longitude:units = "degrees_east" ;
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longitude:axis = "X" ;
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float time(time) ;
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time:standard_name = "time" ;
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time:long_name = "time" ;
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time:units = "days since 1850-1-1 00:00:00" ;
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time:calendar = "gregorian" ;
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time:start_year = 1850s ;
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time:end_year = 2021s ;
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time:start_month = 1s ;
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time:end_month = 10s ;
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time:axis = "T" ;
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float temperature_anomaly(time, latitude, longitude) ;
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temperature_anomaly:long_name = "near_surface_temperature_anomaly" ;
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temperature_anomaly:units = "K" ;
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temperature_anomaly:missing_value = -1.e+30f ;
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temperature_anomaly:_FillValue = -1.e+30f ;
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temperature_anomaly:reference_period = 1961s, 1990s ;
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char field_status(time, field_status_string_length) ;
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field_status:long_name = "field_status" ;
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// global attributes:
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:title = "HadCRUT4 near-surface temperature ensemble data - ensemble median" ;
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:institution = "Met Office Hadley Centre / Climatic Research Unit, University of East Anglia" ;
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:history = "Updated at 15/12/2021 19:37:52" ;
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:source = "CRUTEM.4.6.0.0, HadSST.3.1.1.0" ;
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:comment = "" ;
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:reference = "Morice, C. P., J. J. Kennedy, N. A. Rayner, and P. D. Jones (2012), Quantifying uncertainties in global and regional temperature change using an ensemble of observational estimates: The HadCRUT4 dataset, J. Geophys. Res., doi:10.1029/2011JD017187" ;
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:version = "HadCRUT.4.6.0.0" ;
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:Conventions = "CF-1.0" ;
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:ensemble_members = 100s ;
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:ensemble_member_index = 0s ;
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}
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