HIRS4

class typhon.datasets.tovs.HIRS4(name=None, **kwargs)[source]

__init__(*args, **kwargs)[source]

Methods

`__init__`(args, *kwargs)
`as_xarray_dataset`(M[, skip_dimensions, ...])	Convert structured ndarray to xarray dataset
`calc_time_since_last_calib`(M[, D, H, fn])	Calculate time since last calibration.
`calibrate`(cc, counts)	Apply the standard calibration from NOAA KLM User's Guide.
`check_parity`(counts)	Verify parity for counts
`combine`(my_data, other_obj[, other_data, ...])	Combine with data from other dataset.
`count_lines_since_last_calib`(M[, D, H, fn])	Count scanlines since last calibration.
`find_dir_for_time`(dt)	Find the directory containing granules/measurements at (date)time
`find_granules`([dt_start, dt_end, ...])	Yield all granules/measurementfiles in period
`find_granules_sorted`([dt_start, dt_end, ...])	Yield all granules, sorted by times.
`find_most_recent_granule_before`(instant, ...)	Find granule covering instant
`flagscore`(M)	Calculate "flag score"; higher is worse.
`get_additional_field`(M, fld)	Get additional field.
`get_cc`(scanlines)	Extract calibration coefficients from scanlines.
`get_dataname`(header[, robust])	Extract dataname from header.
`get_definition_from_PDF`(path_to_pdf)	Get HIRS definition from NWPSAF PDF.
`get_dtypes`(f)	Get dtypes for file.
`get_info_for_granule`(p)	Return dict (re.fullmatch) for granule, based on re
`get_iwt`(header, elem)	Get temperature of internal warm target
`get_mandatory_fields`()
`get_mask_from_flags`(header, lines[, max_flagged])	Set mask in lines, based on header and lines info
`get_other`(scanlines)	Get other information from scanlines.
`get_path_format_variables`()	What extra format variables are needed in find_granules?
`get_pos`(scanlines)	Get lat-lon from scanlines.
`get_subdir_resolution`()	Return the resolution for the subdir precision.
`get_temp`(header, elem, anwrd)	Extract temperatures
`get_time_from_granule_contents`(p)	Get datetime objects for beginning and end of granule
`get_times_for_granule`(p, **kwargs)	For granule stored in path, get start and end times.
`get_wn_c1_c2`(header)	Read central wavenumber, c1, and c2 from header
`id2name`(satid)	Translate satellite id to satellite name.
`id2no`(satid)	Translate satellite id to satellite number.
`iterate_subdirs`(d_start, d_end, **extra)	Iterate through all subdirs in dataset.
`rad2bt`(rad_wn, wn, c1, c2)	Apply the standard radiance-to-BT conversion from NOAA KLM User's Guide.
`read`([f, fields, pseudo_fields])	Read granule in file and do some other fixes
`read_cpids`(path)	Read calibration parameters input data sets (CPIDS)
`read_period`([start, end, onerror, fields, ...])	Read all granules between start and end, in bulk.
`seekhead`(f)	Seek open file to header position.
`setlocal`()	Set local attributes, from config or otherwise.
`verify_mandatory_fields`(extra)

Attributes

`aliases`
`basedir`
`channel_order`
`concat_coor`
`count_end`
`count_start`
`counts_offset`
`datefields`
`default_orbit_filters`
`dist_space_iwct`
`end_date`
`filter_calibcounts`
`filter_prttemps`
`flag_fields`
`format_definition_file`
`granule_cache_file`
`granule_duration`
`granules_firstline_db`
`granules_firstline_file`
`header_dtype`
`line_dtype`
`mandatory_fields`
`max_valid_time_ptp`
`maxsize`
`my_pseudo_fields`
`n_calibchannels`
`n_channels`
`n_minorframes`
`n_perline`
`n_wordperframe`
`name`
`pdf_definition_pages`
`re`
`read_returns`
`refields`
`related`
`satellites`
`satname`
`scantype_fieldname`
`section`
`srf_backend_f`
`srf_backend_response`
`srf_dir`
`srf_rttov`
`start_date`
`subdir`
`temperature_fields`
`time_field`
`typ_Earth`
`typ_iwt`
`typ_space`
`unique_fields`
`valid_field_values`	dict() -> new empty dictionary dict(mapping) -> new dictionary initialized from a mapping object's (key, value) pairs dict(iterable) -> new dictionary initialized as if via: d = {} for k, v in iterable: d[k] = v dict(**kwargs) -> new dictionary initialized with the name=value pairs in the keyword argument list. For example: dict(one=1, two=2).
`version`
`views`