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Merge pull request #4288 from nasa-gibs/release
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Release v4.4.0 to main
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ryanweiler92 authored May 2, 2023
2 parents 52381d3 + 2827782 commit 9f88912
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3 changes: 2 additions & 1 deletion .stylelintrc
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Expand Up @@ -7,6 +7,7 @@
}],
"no-descending-specificity": null,
"selector-class-pattern": null,
"selector-not-notation": null
"selector-not-notation": null,
"media-feature-range-notation": null
}
}
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Expand Up @@ -4,4 +4,4 @@ The Air Mass layer from the GOES-East Advanced Baseline Imager (ABI) is used pri

The Geostationary Operational Environmental Satellites (GOES)-East satellite (currently, GOES-16) is centered on 75.2 degrees W, covering the Conterminous US, Canada, Central and South America. The GOES-East ABI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acqusition to availability in GIBS) is approximately 40 minutes.

References: [GOES-R: Air Mass RGB Quick Guide](https://nasasporttraining.files.wordpress.com/2015/12/quickguide_airmassrgb_nasa_sport.pdf)
References: [GOES-R: Air Mass RGB Quick Guide](https://rammb.cira.colostate.edu/training/visit/quick_guides/QuickGuide_GOESR_AirMassRGB_final.pdf)
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Expand Up @@ -4,4 +4,4 @@ The Air Mass layer from the GOES-West Advanced Baseline Imager (ABI) is used pri

The Geostationary Operational Environmental Satellites (GOES)-West satellite (currently, GOES-18) is centered on 137.2 degrees W, covering most of the Pacific Ocean, the USA, most of Canada, Central America, the western half of South America, and parts of Australasia. The GOES-West ABI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acqusition to availability in GIBS) is approximately 40 minutes.

References: [GOES-R: Air Mass RGB Quick Guide](https://nasasporttraining.files.wordpress.com/2015/12/quickguide_airmassrgb_nasa_sport.pdf)
References: [GOES-R: Air Mass RGB Quick Guide](https://rammb.cira.colostate.edu/training/visit/quick_guides/QuickGuide_GOESR_AirMassRGB_final.pdf)
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Expand Up @@ -4,4 +4,4 @@ The Air Mass layer from the Himawari-8 Advanced Himawari Imager (AHI) is used pr

The Himawari-8 satellite is centered on 140.7 degrees E, covering most of the Pacific Ocean, a portion of Eastern Asia, and parts of Australasia. The Himawari-8 AHI imagery is available on a rolling 90-day basis at 10 minute intervals. The sensor resolution is 2 km, the imagery resolution in Worldview/Global Imagery Browse Services (GIBS) is 2 km, the temporal resolution is 10 minutes, and the latency (time from satellite acqusition to availability in GIBS) is approximately 40 minutes.

References: [GOES-R: Air Mass RGB Quick Guide](https://nasasporttraining.files.wordpress.com/2015/12/quickguide_airmassrgb_nasa_sport.pdf)
References: [GOES-R: Air Mass RGB Quick Guide](https://rammb.cira.colostate.edu/training/visit/quick_guides/QuickGuide_GOESR_AirMassRGB_final.pdf)
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Expand Up @@ -2,4 +2,4 @@ The Microwave Limb Sounder (MLS) Carbon Monoxide (CO) Mixing Ratio layer at 215

The MLS Carbon Monoxide (CO) Mixing Ratio 215hPa layer is derived from the MLS Carbon Monoxide product (ML2CO_NRT) available from the Microwave Limb Sounder (MLS) instrument on the Aura satellite. The sensor resolution is 5 km, imagery resolution is 2 km, and the temporal resolution is daily.

References: [ML2CO_NRT](https://disc.gsfc.nasa.gov/datasets/ML2CO_NRT_V005/summary)
References: [ML2CO_NRT](https://disc.gsfc.nasa.gov/datasets/ML2CO_NRT_005/summary)
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Expand Up @@ -2,4 +2,4 @@ The Microwave Limb Sounder (MLS) Carbon Monoxide (CO) Mixing Ratio layer at 215

The MLS Carbon Monoxide (CO) Mixing Ratio 215hPa layer is derived from the MLS Carbon Monoxide product (ML2CO_NRT) available from the Microwave Limb Sounder (MLS) instrument on the Aura satellite. The sensor resolution is 5 km, imagery resolution is 2 km, and the temporal resolution is daily.

References: [ML2CO_NRT](https://disc.gsfc.nasa.gov/datasets/ML2CO_NRT_V005/summary)
References: [ML2CO_NRT](https://disc.gsfc.nasa.gov/datasets/ML2CO_NRT_005/summary)
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Expand Up @@ -2,7 +2,7 @@ The Land Surface Temperature (L3, 8-Day, Day) layer is from the new Land Surface

The MOD/MYD21 Temperature/Emissivity Separation (TES) algorithm is a physics-based algorithm used to dynamically retrieve both LST and spectral emissivity simultaneously from the MODIS thermal infrared (TIR) bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during warm and humid conditions. The MOD/MYD21 LST&E algorithm differs from the MOD11/MYD11 L2 algorithm in that the MOD21/MYD21 algorithm is based on the ASTER TES technique, whereas the MOD11/MYD11 L2 products uses a generalized split-window (GSW) technique. MOD/MYD21 addresses the 3-5 K cold bias over desert regions that currently exists with the MOD/MYD11 LST product, and using the TES algorithm allows a dynamical retrieval of land surface emissivity for all MODIS TIR bands 29, 31, and 32. Users are encourage to read the [current validation status report](https://modis-land.gsfc.nasa.gov/pdf/MOD21_MOD11_report.pdf) to better understand differences between these two products.

The MYD21A2 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free [MYD21A1D](https://doi.org/10.5067/MODIS/MYD21A1D.061) and [MYD21A1N](https://doi.org/10.5067/MODIS/MYD21A1N.061) daily acquisitions from the 8-day period. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)](https://lpdaac.usgs.gov/documents/107/MOD21_ATBD.pdf).
The MYD21A2 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free [MYD21A1D](https://doi.org/10.5067/MODIS/MYD21A1D.061) and [MYD21A1N](https://doi.org/10.5067/MODIS/MYD21A1N.061) daily acquisitions from the 8-day period. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)](https://lpdaac.usgs.gov/documents/1399/MOD21_ATBD.pdf).

The MODIS Land Surface Temperature product is available from both Terra (MOD21) and Aqua (MYD21) satellites. The sensor and imagery resolution is 1 km, and the temporal resolution is 8 days.

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Expand Up @@ -2,7 +2,7 @@ The Land Surface Temperature (L3, 8-Day, Night) layer is from the new Land Surfa

The MOD/MYD21 Temperature/Emissivity Separation (TES) algorithm is a physics-based algorithm used to dynamically retrieve both LST and spectral emissivity simultaneously from the MODIS thermal infrared (TIR) bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during warm and humid conditions. The MOD/MYD21 LST&E algorithm differs from the MOD11/MYD11 L2 algorithm in that the MOD21/MYD21 algorithm is based on the ASTER TES technique, whereas the MOD11/MYD11 L2 products uses a generalized split-window (GSW) technique. MOD/MYD21 addresses the 3-5 K cold bias over desert regions that currently exists with the MOD/MYD11 LST product, and using the TES algorithm allows a dynamical retrieval of land surface emissivity for all MODIS TIR bands 29, 31, and 32. Users are encourage to read the [current validation status report](https://modis-land.gsfc.nasa.gov/pdf/MOD21_MOD11_report.pdf) to better understand differences between these two products.

The MYD21A2 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free [MYD21A1D](https://doi.org/10.5067/MODIS/MYD21A1D.061) and [MYD21A1N](https://doi.org/10.5067/MODIS/MYD21A1N.061) daily acquisitions from the 8-day period. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)](https://lpdaac.usgs.gov/documents/107/MOD21_ATBD.pdf).
The MYD21A2 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free [MYD21A1D](https://doi.org/10.5067/MODIS/MYD21A1D.061) and [MYD21A1N](https://doi.org/10.5067/MODIS/MYD21A1N.061) daily acquisitions from the 8-day period. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)](https://lpdaac.usgs.gov/documents/1399/MOD21_ATBD.pdf).

The MODIS Land Surface Temperature product is available from both Terra (MOD21) and Aqua (MYD21) satellites. The sensor and imagery resolution is 1 km, and the temporal resolution is 8 days.

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Expand Up @@ -2,7 +2,7 @@ The Land Surface Temperature (L3, Daily, Day) layer is from the new Land Surface

The MOD/MYD21 Temperature/Emissivity Separation (TES) algorithm is a physics-based algorithm used to dynamically retrieve both LST and spectral emissivity simultaneously from the MODIS thermal infrared (TIR) bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during warm and humid conditions. The MOD/MYD21 LST&E algorithm differs from the MOD11/MYD11 L2 algorithm in that the MOD21/MYD21 algorithm is based on the ASTER TES technique, whereas the MOD11/MYD11 L2 products uses a generalized split-window (GSW) technique. MOD/MYD21 addresses the 3-5 K cold bias over desert regions that currently exists with the MOD/MYD11 LST product, and using the TES algorithm allows a dynamical retrieval of land surface emissivity for all MODIS TIR bands 29, 31, and 32. Users are encourage to read the [current validation status report](https://modis-land.gsfc.nasa.gov/pdf/MOD21_MOD11_report.pdf) to better understand differences between these two products.

The MYD21A1D dataset is produced daily from daytime Level 2 Gridded (L2G) intermediate LST products. The L2G process maps the daily [MYD21](https://doi.org/10.5067/MODIS/MYD21.061) swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell for a given day. The MOD21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all observations that are cloud free and have good LST&E accuracies. The daytime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. Additional details regarding the methodology used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)] (https://lpdaac.usgs.gov/documents/107/MOD21_ATBD.pdf).
The MYD21A1D dataset is produced daily from daytime Level 2 Gridded (L2G) intermediate LST products. The L2G process maps the daily [MYD21](https://doi.org/10.5067/MODIS/MYD21.061) swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell for a given day. The MOD21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all observations that are cloud free and have good LST&E accuracies. The daytime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. Additional details regarding the methodology used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)] (https://lpdaac.usgs.gov/documents/1399/MOD21_ATBD.pdf).

The MODIS Land Surface Temperature product is available from both Terra (MOD21) and Aqua (MYD21) satellites. The sensor and imagery resolution is 1 km, and the temporal resolution is daily.

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Expand Up @@ -2,7 +2,7 @@ The Land Surface Temperature (L3, Daily, Night) layer is from the new Land Surfa

The MOD/MYD21 Temperature/Emissivity Separation (TES) algorithm is a physics-based algorithm used to dynamically retrieve both LST and spectral emissivity simultaneously from the MODIS thermal infrared (TIR) bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during warm and humid conditions. The MOD/MYD21 LST&E algorithm differs from the MOD11/MYD11 L2 algorithm in that the MOD21/MYD21 algorithm is based on the ASTER TES technique, whereas the MOD11/MYD11 L2 products uses a generalized split-window (GSW) technique. MOD/MYD21 addresses the 3-5 K cold bias over desert regions that currently exists with the MOD/MYD11 LST product, and using the TES algorithm allows a dynamical retrieval of land surface emissivity for all MODIS TIR bands 29, 31, and 32. Users are encourage to read the [current validation status report](https://modis-land.gsfc.nasa.gov/pdf/MOD21_MOD11_report.pdf) to better understand differences between these two products.

The MYD21A1N dataset is produced daily from nighttime Level 2 Gridded (L2G) intermediate LST products. The L2G process maps the daily [MYD21](https://doi.org/10.5067/MODIS/MYD21.061) swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell for a given day. The MOD21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all observations that are cloud free and have good LST&E accuracies. The nighttime average is weighted by the observation coverage for that cell. Only observations having an observation coverage greater than a 15% threshold are considered. Additional details regarding the methodology used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)](https://lpdaac.usgs.gov/documents/107/MOD21_ATBD.pdf).
The MYD21A1N dataset is produced daily from nighttime Level 2 Gridded (L2G) intermediate LST products. The L2G process maps the daily [MYD21](https://doi.org/10.5067/MODIS/MYD21.061) swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell for a given day. The MOD21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all observations that are cloud free and have good LST&E accuracies. The nighttime average is weighted by the observation coverage for that cell. Only observations having an observation coverage greater than a 15% threshold are considered. Additional details regarding the methodology used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)](https://lpdaac.usgs.gov/documents/1399/MOD21_ATBD.pdf).

The MODIS Land Surface Temperature product is available from both Terra (MOD21) and Aqua (MYD21) satellites. The sensor and imagery resolution is 1 km, and the temporal resolution is daily.

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Expand Up @@ -2,7 +2,7 @@ The Land Surface Temperature (L3, Monthly, Day) layer is from the new Land Surfa

The MOD/MYD21 Temperature/Emissivity Separation (TES) algorithm is a physics-based algorithm used to dynamically retrieve both LST and spectral emissivity simultaneously from the MODIS thermal infrared (TIR) bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during warm and humid conditions. The MOD/MYD21 LST&E algorithm differs from the MOD11/MYD11 L2 algorithm in that the MOD21/MYD21 algorithm is based on the ASTER TES technique, whereas the MOD11/MYD11 L2 products uses a generalized split-window (GSW) technique. MOD/MYD21 addresses the 3-5 K cold bias over desert regions that currently exists with the MOD/MYD11 LST product, and using the TES algorithm allows a dynamical retrieval of land surface emissivity for all MODIS TIR bands 29, 31, and 32. Users are encourage to read the [current validation status report](https://modis-land.gsfc.nasa.gov/pdf/MOD21_MOD11_report.pdf) to better understand differences between these two products.

The MYD21C3 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free [MYD21A1D](https://doi.org/10.5067/MODIS/MYD21A1D.061) and [MYD21A1N](https://doi.org/10.5067/MODIS/MYD21A1N.061) daily acquisitions from the 8-day period. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)](https://lpdaac.usgs.gov/documents/107/MOD21_ATBD.pdf).
The MYD21C3 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free [MYD21A1D](https://doi.org/10.5067/MODIS/MYD21A1D.061) and [MYD21A1N](https://doi.org/10.5067/MODIS/MYD21A1N.061) daily acquisitions from the 8-day period. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)](https://lpdaac.usgs.gov/documents/1399/MOD21_ATBD.pdf).

The MODIS Land Surface Temperature product is available from both Terra (MOD21) and Aqua (MYD21) satellites. The sensor and imagery resolution is 1 km, and the temporal resolution is monthly.

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Expand Up @@ -2,7 +2,7 @@ The Land Surface Temperature (L3, Monthly, Night) layer is from the new Land Sur

The MOD/MYD21 Temperature/Emissivity Separation (TES) algorithm is a physics-based algorithm used to dynamically retrieve both LST and spectral emissivity simultaneously from the MODIS thermal infrared (TIR) bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during warm and humid conditions. The MOD/MYD21 LST&E algorithm differs from the MOD11/MYD11 L2 algorithm in that the MOD21/MYD21 algorithm is based on the ASTER TES technique, whereas the MOD11/MYD11 L2 products uses a generalized split-window (GSW) technique. MOD/MYD21 addresses the 3-5 K cold bias over desert regions that currently exists with the MOD/MYD11 LST product, and using the TES algorithm allows a dynamical retrieval of land surface emissivity for all MODIS TIR bands 29, 31, and 32. Users are encourage to read the [current validation status report](https://modis-land.gsfc.nasa.gov/pdf/MOD21_MOD11_report.pdf) to better understand differences between these two products.

The MYD21C3 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free [MYD21A1D](https://doi.org/10.5067/MODIS/MYD21A1D.061) and [MYD21A1N](https://doi.org/10.5067/MODIS/MYD21A1N.061) daily acquisitions from the 8-day period. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)](https://lpdaac.usgs.gov/documents/107/MOD21_ATBD.pdf).
The MYD21C3 dataset is an 8-day composite LST product that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free [MYD21A1D](https://doi.org/10.5067/MODIS/MYD21A1D.061) and [MYD21A1N](https://doi.org/10.5067/MODIS/MYD21A1N.061) daily acquisitions from the 8-day period. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document [(ATBD)](https://lpdaac.usgs.gov/documents/1399/MOD21_ATBD.pdf).

The MODIS Land Surface Temperature product is available from both Terra (MOD21) and Aqua (MYD21) satellites. The sensor and imagery resolution is 1 km, and the temporal resolution is monthly.

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