NOAA CDR PATMOSX: Cloud Properties, Reflectance, and Brightness Temperatures, Version 5.3

Dataset Availability: 1979-01-01T00:00:00Z–2022-01-01T00:00:00Z
Dataset Provider: NOAA
Earth Engine Snippet: ee.ImageCollection("NOAA/CDR/PATMOSX/V53")
Tags: atmospheric avhrr brightness cdr cloud noaa optical reflectance temperature
metop

poes

Description

This dataset provides high quality Climate Data Record (CDR) of multiple cloud properties along with Advanced Very High Resolution Radiometer (AVHRR) Pathfinder Atmospheres Extended (PATMOS-x) brightness temperatures and reflectances. These data have been fitted to a 0.1 x 0.1 equal angle-grid with both ascending and descending assets generated daily from two to ten NOAA and MetOp satellite passes per day.

This dataset includes 48 bands, 11 of which are deemed CDR quality (marked with "CDR variable" in the band list). The cloud products are derived using the ABI (Advanced Baseline Imager) Cloud Height Algorithm (ACHA), and the Daytime Cloud Optical Properties (DCOMP) algorithm. For more detail on the processing see the Climate Algorithm Theoretical Basis Document (C-ATBD).

Bands

Resolution
11132 meters

Bands

Name	Units	Min	Max	Scale	Offset	Wavelength	Description
`cld_emiss_acha`		-127*	127*	0.00393701	0.5	11µm	Cloud emissivity at 11µm, determined from ACHA (CDR variable)
`cld_height_acha`	km	-32767*	32767*	0.000305185	10		Cloud height computed using ACHA
`cld_height_uncer_acha`	km	-127*	127*	0.0393701	5		Cloud height uncertainty computed using ACHA
`cld_opd_acha`		-127*	127*	0.0322835	3.9	0.65µm	Cloud optical depth at 0.65µm, determined from ACHA
`cld_opd_dcomp`		-32685*	32149*	0.00244453	79.9	0.65µm	Cloud optical depth at 0.65µm, determined from DCOMP (CDR variable)
`cld_opd_dcomp_unc`		-32685*	-32276*	0.00244453	79.9		Uncertainty in the cloud optical depth at 0.65µm, determined from DCOMP
`cld_press_acha`	hPa	-32767*	32767*	0.0167852	550		Cloud-top pressure computed using ACHA
`cld_reff_acha`	µm	-127*	127*	0.629921	80		Effective radius of cloud particles determined from ACHA
`cld_reff_dcomp`	µm	-32767*	32767*	0.00244148	80		Effective radius of cloud particles determined from DCOMP (CDR variable)
`cld_reff_dcomp_unc`	µm	-32767*	-32357*	0.00244148	80		Uncertainty in the effective radius of cloud particle determined from DCOMP
`cld_temp_acha`	K	-32767*	32767*	0.00244148	240		Cloud-top temperature computed using ACHA (CDR variable)
`cloud_fraction`		-127*	127*	0.00393701	0.5		Cloud fraction computed over a 3x3 pixel array at the native resolution centered on this pixel
`cloud_fraction_uncertainty`		-127*	0*	0.00393701	0.5		Cloud fraction uncertainty computed over a 3x3 array
`cloud_probability`		-127*	127*	0.00393701	0.5		Probability of a pixel being cloudy from the Bayesian cloud mask
`cloud_transmission_0_65um`		-127*	127*	0.00393701	0.5	0.65µm	Cloud transmission at 0.65µm from DCOMP
`cloud_type`							Integer classification of the cloud type including clear and aerosol type
`cloud_water_path`	g/m^2	-127*	127*	4.72441	600		Integrated total cloud water over whole column
`land_class`							Land classes
`refl_0_65um`		-32767*	32767*	0.00186163	59	0.65µm	Top of atmosphere reflectance 0.65µm (CDR variable)
`refl_0_65um_counts`		-21*	1017*				Instrument counts for the 0.65µm channel
`refl_0_65um_stddev_3x3`		-127*	127*	0.0787402	10		Standard deviation of the 0.63µm reflectance computed over a 3x3 pixel array
`refl_0_86um`		-32767*	32767*	0.00186163	59	0.86µm	Top of atmosphere reflectance at 0.86µm (CDR variable)
`refl_0_86um_counts`		-21*	1016*				Instrument counts for the 0.86µm channel
`refl_1_60um`		-32767*	32767*	0.00186163	59	1.60µm	Top of atmosphere reflectance at 1.60µm (CDR variable)
`refl_1_60um_counts`		-12*	1629*				Instrument counts for the 1.60µm channel
`refl_3_75um`		-32767*	32767*	0.00152593	30	3.75µm	Top of atmosphere reflectance at 3.75µm (CDR variable)
`relative_azimuth_angle`	deg	-127*	127*	0.708661	90		Sun-sensor relative azimuth angle; 0 is the principal plane looking towards sun
`scan_element_number`		-999*	409*				Scan element index of the pixel chosen for inclusion in level-2b
`scan_line_number`		-999*	13835*				Scan line number
`scan_line_time`	h	0*	23.99*				Scan line time
`sensor_zenith_angle`	deg	-127*	68*	0.354331	45		Sensor zenith for each pixel measured in degrees from nadir
`snow_class`							Snow classes and values
`solar_azimuth_angle`	deg	-127*	127*	1.41732			Solar azimuth angle in degrees from north, pixel to sun, positive values are clockwise from north
`solar_zenith_angle`	deg	-101*	101*	0.708661	90		Solar zenith for each pixel measured in degrees away from the sun (0=looking at sun)
`surface_temperature_retrieved`	K	-127*	127*	0.472441	280		Surface temperature retrieved using atmospherically corrected 11µm radiance
`surface_type`							UMD surface type
`temp_11_0um`	K	-32767*	32767*	0.00244148	260	11.0µm	Top of atmosphere brightness temperature at 11.0µm (CDR variable)
`temp_11_0um_clear_sky`	K	-30853*	32767*	0.00244148	260		Top of atmosphere brightness temperature modeled assuming clear skies at 11.0µm
`temp_11_0um_stddev_3x3`	K	-127*	127*	0.0787402	10.9		Standard deviation of the 11.0µm brightness temperature computed over a 3x3 pixel array
`temp_12_0um`	K	-32767*	32767*	0.00244148	260	12.0µm	Top of atmosphere brightness temperature 12.0µm (CDR variable)
`temp_3_75um`	K	-32767*	32767*	0.00244148	260	3.75µm	Top of atmosphere brightness temperature 3.75µm (CDR variable)
`acha_info`							ACHA processing information bit flags
Bitmask for acha_info Bit 0: Cloud height attempted 0: No 1: Yes Bit 1: Bias correction employed 0: No 1: Yes Bit 2: Ice cloud retrieval 0: No 1: Yes Bit 3: Local radiative center processing used 0: No 1: Yes Bit 4: Multi-layer retrieval 0: No 1: Yes Bit 5: Lower cloud interpolation used 0: No 1: Yes Bit 6: Boundary layer inversion assumed 0: No 1: Yes
`acha_quality`							ACHA quality flags
Bitmask for acha_quality Bit 0: ACHA products processed 0: No 1: Yes Bit 1: Valid Tc retrieval 0: No 1: Yes Bit 2: Valid ec retrieval 0: No 1: Yes Bit 3: Valid beta retrieval 0: No 1: Yes Bit 4: Degraded Tc retrieval 0: No 1: Yes Bit 5: Degraded ec retrieval 0: No 1: Yes Bit 6: Degraded beta retrieval 0: No 1: Yes
`bad_pixel_mask`							Mask that distinguishes good from bad pixels
Bitmask for bad_pixel_mask Bit 0: Bad pixel mask 0: Good 1: Bad
`cloud_mask`							Integer classification of the cloud mask
`dcomp_info`							Processing flags for DCOMP
Bitmask for dcomp_info Bit 0: Info flag set 0: No 1: Yes Bit 1: Land/sea mask 0: Land 1: Sea Bit 2: Day/night mask 0: Day 1: Night Bit 3: Twilight (65-82 solar zenith) 0: No 1: Yes Bit 4: Snow 0: No 1: Snow Bit 5: Sea-ice 0: No 1: Sea-ice Bit 6: Phase 0: Liquid 1: Ice Bit 7: Thick cloud 0: No 1: Yes Bit 8: Thin cloud 0: No 1: Yes
`dcomp_quality`							DCOMP processing information bit flags
Bitmask for dcomp_quality Bit 0: DCOMP products processed 0: No 1: Yes Bit 1: Valid COD retrieval 0: No 1: Yes Bit 2: Valid REF retrieval 0: No 1: Yes Bit 3: Degraded COD retrieval 0: No 1: Yes Bit 4: Degraded REF retrieval 0: No 1: Yes Bit 5: Convergency 0: No 1: Yes Bit 6: Glint 0: No 1: Yes
`glint_mask`							Glint mask
Bitmask for glint_mask Bit 0: Glint mask 0: No 1: Yes

* estimated min or max value

cloud_type Class Table

Value	Color	Description
0	#73d8ff	Clear
1	#73d8ff	Probably clear
2	#b1d8dc	Fog
3	#030bff	Water
4	#0013a1	Supercooled water
5	#05ffa3	Mixed
6	#d5fff9	Opaque ice
7	#ffffff	Cirrus
8	#b2b8ff	Overlapping
9	#b2b8ff	Overshooting
10	#f8c4ff	Unknown
11	#d7e9a1	Dust
12	#adadad	Smoke

land_class Class Table

Value	Color	Description
0	#46ffba	Shallow ocean
1	#c09968	Land
2	#eddc66	Coastline
3	#32bc76	Shallow inland water
4	#00b5c8	Ephemeral water
5	#338c91	Deep inland water
6	#0109ff	Moderate ocean
7	#010583	Deep ocean

snow_class Class Table

Value	Color	Description
1	#000000	No snow/ice
2	#17b0c0	Sea-ice
3	#ffffff	Snow

surface_type Class Table

Value	Color	Description
0	#0d00d4	Water
1	#096619	Evergreen needle
2	#096619	Evergreen broad
3	#2ac027	Deciduous needle
4	#2ac027	Deciduous broad
5	#a0c800	Mixed forest
6	#7c6e48	Woodlands
7	#dcca76	Wooded grass
8	#c7ff42	Closed shrubs
9	#c7ff42	Open shrubs
10	#00ff5a	Grasses
11	#fff700	Croplands
12	#ffdb77	Bare
13	#9f9f9f	Urban

cloud_mask Class Table

Value	Color	Description
0	#73d8ff	Clear
1	#b1d8dc	Probably clear
2	#d0d0d0	Probably cloudy
3	#9d9d9d	Cloudy

Image Properties

Image Properties

Name	Type	Description
orbit_node	STRING	'ascending' or 'descending'
platform	STRING	Name of platform
status	STRING	'provisional' or 'permanent'

Terms of Use

Terms of Use

The NOAA CDR Program's official distribution point for CDRs is NOAA's National Climatic Data Center which provides sustained, open access and active data management of the CDR packages and related information in keeping with the United States' open data policies and practices as described in the President's Memorandum on "Open Data Policy" and pursuant to the Executive Order of May 9, 2013, "Making Open and Machine Readable the New Default for Government Information". In line with these policies, the CDR data sets are nonproprietary, publicly available, and no restrictions are placed upon their use. For more information, see the Fair Use of NOAA's CDR Data Sets, Algorithms and Documentation pdf.

Citations

For the TOA Reflectances and Brightness Temperatures users must cite: Andrew K. Heidinger, Michael J. Foster, Andi Walther, Xuepeng Zhao, and NOAA CDR Program (2014): NOAA Climate Data Record (CDR) of Reflectance and Brightness Temperatures from AVHRR Pathfinder Atmospheres - Extended (PATMOS-x), Version 5.3. [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.7289/V56W982J [access date].
For the cloud properties users must cite: Andrew K. Heidinger, Michael J. Foster, Andi Walther, Xuepeng Zhao, and NOAA CDR Program (2014): NOAA Climate Data Record (CDR) of Cloud Properties from AVHRR Pathfinder Atmospheres - Extended (PATMOS-x), Version 5.3. [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.7289/V5348HCK [access date].

DOIs

https://doi.org/10.7289/V5348HCK

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('NOAA/CDR/PATMOSX/V53')
                  .filter(ee.Filter.date('2017-05-01', '2017-05-14'));
var cloudEmissivityAndHeight = dataset.select(
    ['cld_emiss_acha', 'cld_height_acha', 'cld_height_uncer_acha']);
Map.setCenter(71.72, 52.48, 1);
Map.addLayer(cloudEmissivityAndHeight, {}, 'Cloud Emissivity and Height');

Open in Code Editor

NOAA CDR PATMOSX: Cloud Properties, Reflectance, and Brightness Temperatures, Version 5.3

NOAA/CDR/PATMOSX/V53, atmospheric,avhrr,brightness,cdr,cloud,noaa,optical,reflectance,temperature

1979-01-01T00:00:00Z/2022-01-01T00:00:00Z

Google Earth Engine

https://developers.google.com/earth-engine/datasets

https://doi.org/10.7289/V5348HCK