HIRSPOD

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

Read early HIRS such as documented in POD guide.

Methods are mostly as for HIRS class.

__init__(*args, **kwargs)

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 POD 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 header and lines

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)

Get temperatures from header, element, anwrd

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_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

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

mandatory_fields

max_valid_time_ptp

maxsize

my_pseudo_fields

n_calibchannels

n_channels

n_minorframes

n_perline

n_wordperframe

name

re

read_returns

ref_lza

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_ict

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).

views