Google Earth Engine——NOAA/CDR/PATMOSX/V53提供了高质量的气候数据记录（CDR），以及高级甚高分辨率辐射计（AVHRR）的亮度温度和反射率的多种云特性
Google Earth Engine——NOAA/CDR/PATMOSX/V53提供了高质量的气候数据记录（CDR），以及高级甚高分辨率辐射计（AVHRR）的亮度温度和反射率的多种云特性
This dataset provides high quality Climate Data Record (CDR) of multiple cloud properties along with Advanced Very High Resolution Radiometer (AVHRR) 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 algorithm theoretical basis documents for the ACHA products, DCOMP products, reflectance and brightness temperature products.
这个数据集提供了高质量的气候数据记录（CDR），以及高级甚高分辨率辐射计（AVHRR）的亮度温度和反射率的多种云特性。这些数据被拟合为0.1 x 0.1的等角网格，每天从两到十次NOAA和MetOp卫星传递中产生上升和下降的资产。
这个数据集包括48个波段，其中11个被认为是CDR质量（在波段列表中标有 "CDR变量"）。云层产品是使用ABI（高级基线成像仪）云高算法（ACHA）和日间云层光学特性（DCOMP）算法得出。关于处理的更多细节，请参见ACHA产品、DCOMP产品、反射率和亮度温度产品的算法理论基础文件。
Dataset Availability
1979-01-01T00:00:00 - 2021-09-22T00:00:00
Dataset Provider
Collection Snippet
ee.ImageCollection("NOAA/CDR/PATMOSX/V53")
Resolution
11132 meters
Bands Table
Name | Description | Min* | Max* | Units | Wavelength | Scale | Offset |
|---|---|---|---|---|---|---|---|
cld_emiss_acha | Cloud emissivity at 11μm, determined from ACHA (CDR variable) | -127 | 127 | 11μm | 0.003937008 | 0.5 | |
cld_height_acha | Cloud height computed using ACHA | -32767 | 32767 | km | 0.0003051851 | 10 | |
cld_height_uncer_acha | Cloud height uncertainty computed using ACHA | -127 | 127 | km | 0.03937008 | 5 | |
cld_opd_acha | Cloud optical depth at 0.65μm, determined from ACHA | -127 | 127 | 0.65μm | 0.03228346 | 3.9 | |
cld_opd_dcomp | Cloud optical depth at 0.65μm, determined from DCOMP (CDR variable) | -32685 | 32149 | 0.65μm | 0.002444532 | 79.9 | |
cld_opd_dcomp_unc | Uncertainty in the cloud optical depth at 0.65μm, determined from DCOMP | -32685 | -32276 | 0.002444532 | 79.9 | ||
cld_press_acha | Cloud-top pressure computed using ACHA | -32767 | 32767 | hPa | 0.01678518 | 550 | |
cld_reff_acha | Effective radius of cloud particles determined from ACHA | -127 | 127 | μm | 0.6299213 | 80 | |
cld_reff_dcomp | Effective radius of cloud particles determined from DCOMP (CDR variable) | -32767 | 32767 | μm | 0.002441481 | 80 | |
cld_reff_dcomp_unc | Uncertainty in the effective radius of cloud particle determined from DCOMP | -32767 | -32357 | μm | 0.002441481 | 80 | |
cld_temp_acha | Cloud-top temperature computed using ACHA (CDR variable) | -32767 | 32767 | K | 0.002441481 | 240 | |
cloud_fraction | Cloud fraction computed over a 3x3 pixel array at the native resolution centered on this pixel | -127 | 127 | 0.003937008 | 0.5 | ||
cloud_fraction_uncertainty | Cloud fraction uncertainty computed over a 3x3 array | -127 | 0 | 0.003937008 | 0.5 | ||
cloud_probability | Probability of a pixel being cloudy from the Bayesian cloud mask | -127 | 127 | 0.003937008 | 0.5 | ||
cloud_transmission_0_65um | Cloud transmission at 0.65μm from DCOMP | -127 | 127 | 0.65μm | 0.003937008 | 0.5 | |
cloud_type | Integer classification of the cloud type including clear and aerosol type | 0 | 0 | ||||
cloud_water_path | Integrated total cloud water over whole column | -127 | 127 | g/m^2 | 4.72441 | 600 | |
land_class | Land classes | 0 | 0 | ||||
refl_0_65um | Top of atmosphere reflectance 0.65μm (CDR variable) | -32767 | 32767 | 0.65μm | 0.001861629 | 59 | |
refl_0_65um_counts | Instrument counts for the 0.65μm channel | -21 | 1017 | 0 | 0 | ||
refl_0_65um_stddev_3x3 | Standard deviation of the 0.63μm reflectance computed over a 3x3 pixel array | -127 | 127 | 0.07874016 | 10 | ||
refl_0_86um | Top of atmosphere reflectance at 0.86μm (CDR variable) | -32767 | 32767 | 0.86μm | 0.001861629 | 59 | |
refl_0_86um_counts | Instrument counts for the 0.86μm channel | -21 | 1016 | 0 | 0 | ||
refl_1_60um | Top of atmosphere reflectance at 1.60μm (CDR variable) | -32767 | 32767 | 1.60μm | 0.001861629 | 59 | |
refl_1_60um_counts | Instrument counts for the 1.60μm channel | -12 | 1629 | 0 | 0 | ||
refl_3_75um | Top of atmosphere reflectance at 3.75μm (CDR variable) | -32767 | 32767 | 3.75μm | 0.001525925 | 30 | |
relative_azimuth_angle | Sun-sensor relative azimuth angle; 0 is the principal plane looking towards sun | -127 | 127 | Degrees | 0.7086614 | 90 | |
scan_element_number | Scan element index of the pixel chosen for inclusion in level-2b | -999 | 409 | 0 | 0 | ||
scan_line_number | Scan line number | -999 | 13835 | 0 | 0 | ||
scan_line_time | Scan line time | 0 | 23.99 | Hours | 0 | 0 | |
sensor_zenith_angle | Sensor zenith for each pixel measured in degrees from nadir | -127 | 68 | Degrees | 0.3543307 | 45 | |
snow_class | Snow classes and values | 0 | 0 | ||||
solar_azimuth_angle | Solar azimuth angle in degrees from north, pixel to sun, positive values are clockwise from north | -127 | 127 | Degrees | 1.417323 | 0 | |
solar_zenith_angle | Solar zenith for each pixel measured in degrees away from the sun (0=looking at sun) | -101 | 101 | Degrees | 0.7086614 | 90 | |
surface_temperature_retrieved | Surface temperature retrieved using atmospherically corrected 11μm radiance | -127 | 127 | Kelvin | 0.472441 | 280 | |
surface_type | UMD surface type | 0 | 0 | ||||
temp_11_0um | Top of atmosphere brightness temperature at 11.0μm (CDR variable) | -32767 | 32767 | Kelvin | 11.0μm | 0.002441481 | 260 |
temp_11_0um_clear_sky | Top of atmosphere brightness temperature modeled assuming clear skies at 11.0μm | -30853 | 32767 | Kelvin | 0.002441481 | 260 | |
temp_11_0um_stddev_3x3 | Standard deviation of the 11.0μm brightness temperature computed over a 3x3 pixel array | -127 | 127 | Kelvin | 0.07874016 | 10.9 | |
temp_12_0um | Top of atmosphere brightness temperature 12.0μm (CDR variable) | -32767 | 32767 | Kelvin | 12.0μm | 0.002441481 | 260 |
temp_3_75um | Top of atmosphere brightness temperature 3.75μm (CDR variable) | -32767 | 32767 | Kelvin | 3.75μm | 0.002441481 | 260 |
acha_info | ACHA processing information bit flags | 0 | 0 | ||||
acha_info Bitmask | Bit 0: Cloud height attempted 0: No1: YesBit 1: Bias correction employed 0: No1: YesBit 2: Ice cloud retrieval 0: No1: YesBit 3: Local radiative center processing used 0: No1: YesBit 4: Multi-layer retrieval 0: No1: YesBit 5: Lower cloud interpolation used 0: No1: YesBit 6: Boundary layer inversion assumed 0: No1: Yes | ||||||
acha_quality | ACHA quality flags | 0 | 0 | ||||
acha_quality Bitmask | Bit 0: ACHA products processed 0: No1: YesBit 1: Valid Tc retrieval 0: No1: YesBit 2: Valid ec retrieval 0: No1: YesBit 3: Valid beta retrieval 0: No1: YesBit 4: Degraded Tc retrieval 0: No1: YesBit 5: Degraded ec retrieval 0: No1: YesBit 6: Degraded beta retrieval 0: No1: Yes | ||||||
bad_pixel_mask | Mask that distinguishes good from bad pixels | 0 | 0 | ||||
bad_pixel_mask Bitmask | Bit 0: Bad pixel mask 0: Good1: Bad | ||||||
cloud_mask | Integer classification of the cloud mask | 0 | 0 | ||||
dcomp_info | Processing flags for DCOMP | 0 | 0 | ||||
dcomp_info Bitmask | Bit 0: Info flag set 0: No1: YesBit 1: Land/sea mask 0: Land1: SeaBit 2: Day/night mask 0: Day1: NightBit 3: Twilight (65-82 solar zenith) 0: No1: YesBit 4: Snow 0: No1: SnowBit 5: Sea-ice 0: No1: Sea-iceBit 6: Phase 0: Liquid1: IceBit 7: Thick cloud 0: No1: YesBit 8: Thin cloud 0: No1: Yes | ||||||
dcomp_quality | DCOMP processing information bit flags | 0 | 0 | ||||
dcomp_quality Bitmask | Bit 0: DCOMP products processed 0: No1: YesBit 1: Valid COD retrieval 0: No1: YesBit 2: Valid REF retrieval 0: No1: YesBit 3: Degraded COD retrieval 0: No1: YesBit 4: Degraded REF retrieval 0: No1: YesBit 5: Convergency 0: No1: YesBit 6: Glint 0: No1: Yes | ||||||
glint_mask | Glint mask | 0 | 0 | ||||
glint_mask Bitmask | Bit 0: Glint mask 0: No1: Yes | ||||||
- 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_qualityACHA quality flags00acha_quality Bitmask
- 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_maskMask that distinguishes good from bad pixels00bad_pixel_mask Bitmask
- Bit 0: Bad pixel mask
- 0: Good
- 1: Bad
cloud_maskInteger classification of the cloud mask00dcomp_infoProcessing flags for DCOMP00dcomp_info Bitmask
- 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_qualityDCOMP processing information bit flags00dcomp_quality Bitmask
- 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_maskGlint mask00glint_mask Bitmask
- Bit 0: Glint mask
- 0: No
- 1: Yes
* = Values are estimated
Class Table: cloud_type
Value | Color | Color Value | 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 |
Class Table: land_class
Value | Color | Color Value | 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 |
Class Table: snow_class
Value | Color | Color Value | Description |
|---|---|---|---|
1 | #000000 | No snow/ice | |
2 | #17b0c0 | Sea-ice | |
3 | #ffffff | Snow |
Class Table: surface_type
Value | Color | Color Value | 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 |
Class Table: cloud_mask
Value | Color | Color Value | Description |
|---|---|---|---|
0 | #73d8ff | Clear | |
1 | #b1d8dc | Probably clear | |
2 | #d0d0d0 | Probably cloudy | |
3 | #9d9d9d | Cloudy |
影像属性：
Name | Type | Description |
|---|---|---|
orbit_node | String | 'ascending' or 'descending' |
platform | String | Name of platform |
status | String | 'provisional' or 'permanent' |
数据说明：
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.
数据引用：
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].
代码：
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');