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Merge pull request #5602 from nasa-gibs/release
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PatchesMaps authored Dec 6, 2024
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6 changes: 6 additions & 0 deletions .github/release.yml
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# .github/release.yml

changelog:
exclude:
labels:
- ignore-for-release
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The Cloud Liquid Water Path (L3, Daily) layer is the integrated liquid water, cloud water only, in the atmospheric column in units of grams per square meter (g/m<sup>2</sup>).

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.

The AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_DyOcn) reports daily estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set.

The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is daily.

References: AU_DyOcn [doi:10.5067/K9QZU22GVZHS](https://doi.org/10.5067/K9QZU22GVZHS)

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The Cloud Liquid Water Path (L3, Monthly) layer is the integrated liquid water, cloud water only, in the atmospheric column in units of grams per square meter (g/m<sup>2</sup>).

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.

The AMSR-E/AMSR2 Unified L3 Global Monthly Ascending/Descending .25x.25 deg Ocean Grids data set (AU_MoOcn) is a gridded product that reports monthly estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean. The data are derived from resampled Near Real-Time (NRT) Level-1R data provided by Japan Aerospace Exploration Agency (JAXA).

The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is monthly.

References: AU_MoOcn [doi:10.5067/EX7P1JPQ0UA8](https://doi.org/10.5067/EX7P1JPQ0UA8)
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The Cloud Liquid Water Path (L3, Weekly) layer is the integrated liquid water, cloud water only, in the atmospheric column in units of grams per square meter (g/m<sup>2</sup>).

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.

The AMSR-E/AMSR2 Unified L3 Global Weekly Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_WkOcn) reports weekly estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set.

The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is weekly.

References: AU_WkOcn [doi:10.5067/1A3CSUWVLD7V](https://doi.org/10.5067/1A3CSUWVLD7V)

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The Ocean Wind Speed (L3, Daily) layer shows daily estimates of surface wind speed over oceans in meters per second (m/s) at 10 meter altitude above the ocean surface.

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.

The AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_DyOcn) reports daily estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set.

The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is daily.

References: AU_DyOcn [doi:10.5067/K9QZU22GVZHS](https://doi.org/10.5067/K9QZU22GVZHS)
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The Ocean Wind Speed (L3, Monthly) layer shows monthly estimates of surface wind speed over oceans in meters per second (m/s) at 10 meter altitude above the ocean surface.

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.

The AMSR-E/AMSR2 Unified L3 Global Monthly Ascending/Descending .25x.25 deg Ocean Grids data set (AU_MoOcn) is a gridded product that reports monthly estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean. The data are derived from resampled Near Real-Time (NRT) Level-1R data provided by Japan Aerospace Exploration Agency (JAXA).

The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is monthly.

References: AU_MoOcn [doi:10.5067/EX7P1JPQ0UA8](https://doi.org/10.5067/EX7P1JPQ0UA8)
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The Ocean Wind Speed (L3, Weekly) layer shows daily estimates of surface wind speed over oceans in meters per second (m/s) at 10 meter altitude above the ocean surface.

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.

The AMSR-E/AMSR2 Unified L3 Global Weekly Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_WkOcn) reports weekly estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set.

The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is weekly.

References: AU_WkOcn [doi:10.5067/1A3CSUWVLD7V](https://doi.org/10.5067/1A3CSUWVLD7V)
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The Total Precipitable Water (L3, Daily) layer displays the integrated water vapor in the atmospheric columnn in millimeters (mm).

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.

The AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_DyOcn) reports daily estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set.

The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is daily.

References: AU_DyOcn [doi:10.5067/K9QZU22GVZHS](https://doi.org/10.5067/K9QZU22GVZHS)
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The Total Precipitable Water (L3, Monthly) layer displays the integrated water vapor in the atmospheric columnn in millimeters (mm).

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.

The AMSR-E/AMSR2 Unified L3 Global Monthly Ascending/Descending .25x.25 deg Ocean Grids data set (AU_MoOcn) is a gridded product that reports monthly estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean. The data are derived from resampled Near Real-Time (NRT) Level-1R data provided by Japan Aerospace Exploration Agency (JAXA).

The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is monthly.

References: AU_MoOcn [doi:10.5067/EX7P1JPQ0UA8](https://doi.org/10.5067/EX7P1JPQ0UA8)
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The Total Precipitable Water (L3, Weekly) layer displays the integrated water vapor in the atmospheric columnn in millimeters (mm).

The Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on the Global Change Observation Mission - Water 1 (GCOM-W1) provides global passive microwave measurements of terrestrial, oceanic, and atmospheric parameters for the investigation of global water and energy cycles.

The AMSR-E/AMSR2 Unified L3 Global Weekly Ascending/Descending .25 x .25 deg Ocean Grids data set (AU_WkOcn) reports weekly estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set.

The imagery resolution is 2 km and sensor resolution is 0.25 degrees x 0.25 degrees. The temporal resolution is weekly.

References: AU_WkOcn [doi:10.5067/1A3CSUWVLD7V](https://doi.org/10.5067/1A3CSUWVLD7V)
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## What is El Niño anyway?
El Niño conditions are known to form when trade winds in the equatorial Pacific, which usually blow from east to west, weaken or even reverse direction and blow from west to east. This transports warm water from the western Pacific to the west coast of South America, resulting in higher than normal sea surface temperatures (SST) in that region.
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El Niño is noticeable in the equatorial Pacific in this SST anomalies layer, based on the Multiscale Ultrahigh Resolution (MUR) SST dataset, from October 22, 2023. Deep red colors indicate SST increases of about 3&deg;C from normal climatological conditions whereas blue/purple colors indicate cooler SST temperatures.

For [more information](https://www.noaa.gov/understanding-el-nino) on El Niño including how it is quantified via the NOAA Oceanic Niño Index, visit [NOAA El Niño-Southern Oscillation (ENSO)](https://www.climate.gov/enso) and [NOAA Oceanic Niño Index (ONI)](https://www.climate.gov/news-features/understanding-climate/climate-variability-oceanic-nino-index).
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## When was the last El Niño?
As of 2023, the last notable El Niño event was in 2015. This is a comparison of SST anomalies between October 22, 2015 (left "A" side) and October 22, 2023 (right "B" side). In 2015, an SST signature showing warmer than normal SSTs, known as "[The Blob](https://www.nps.gov/articles/theblob.htm)", was visible along the west coast of North America. 2023 does not appear to exhibit the same contemporaneous phenomenon.

While the Blob is not directly associated with El Niños, it caused significant [impacts](https://www.fisheries.noaa.gov/feature-story/looking-back-blob-record-warming-drives-unprecedented-ocean-change) across North America when it occured together with the 2015 El Niño.
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## What does El Niño impact?
The weakening and shift in trade winds in the Equatorial Pacific causes changes in sea level and sea surface temperature, leading to ocean currents and atmospheric circulation spreading varying impacts of El Niño such as precipitation across the globe.

Press the "Play" button to view an animation of SST anomalies (rainbow color palette) overlaid with precipitation rate (rain rate in shades of green and snow rate in shades of blue) during the last notable El Niño, in seven day increments from May 2014 to May 2016.

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## What does El Niño impact?
During an El Niño, Peru and Chile often experience wetter weather while drier conditions occur across the western Pacific. Additionally, due to warmer SSTs, El Niño negatively impacts biodiversity and local economies. For example, the coastal upwelling off the Peruvian coast (where cold nutrient rich ocean water from the bottom rises towards the surface) is weakened due to warmer waters arriving from the western Equatorial Pacific. The warm waters suppress the cold, nutrient rich upwelling that support increased primary productivity and healthy fisheries. This causes a direct negative impact on fisheries yield and the economy of Peru.

Press the "Play" button to view the development of the 2023 El Niño throughout the year, from January 1, 2023 to January 15, 2024 in 7-day increments.
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## Transition to La Niña
During La Niña conditions, SST anomalies in the Tropical Pacific transition from warm to cold temperatures. [NOAA](https://www.cpc.ncep.noaa.gov/products/analysis_monitoring/enso_advisory/ensodisc.shtml) predicts a near 60 percent chance of a weak La Niña developing in the fall of 2024 to winter of 2025. Current conditions (November 14, 2024) indicate SSTs have returned to more normal temperatures.
9 changes: 9 additions & 0 deletions config/default/common/config/wv.json/layerOrder.json
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"AMSRU2_Sea_Ice_Concentration_25km",
"AMSRU2_Sea_Ice_Brightness_Temp_6km_89H",
"AMSRU2_Sea_Ice_Brightness_Temp_6km_89V",
"AMSRU2_L3_Cloud_Liquid_Water_Daily",
"AMSRU2_L3_Total_Precipitable_Water_Daily",
"AMSRU2_L3_Ocean_Wind_Speed_Daily",
"AMSRU2_L3_Cloud_Liquid_Water_Weekly",
"AMSRU2_L3_Total_Precipitable_Water_Weekly",
"AMSRU2_L3_Ocean_Wind_Speed_Weekly",
"AMSRU2_L3_Cloud_Liquid_Water_Monthly",
"AMSRU2_L3_Total_Precipitable_Water_Monthly",
"AMSRU2_L3_Ocean_Wind_Speed_Monthly",
"LPRM_AMSR2_Surface_Soil_Moisture_C1_Band_Day_Daily",
"LPRM_AMSR2_Surface_Soil_Moisture_C1_Band_Night_Daily",
"LPRM_AMSR2_Downscaled_Surface_Soil_Moisture_C1_Band_Day_Daily",
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{
"layers": {
"AMSRU2_L3_Cloud_Liquid_Water_Daily": {
"id": "AMSRU2_L3_Cloud_Liquid_Water_Daily",
"description": "amsr2/AMSRU2_L3_Cloud_Liquid_Water_Daily",
"tags": "amsru2 amsr-u2",
"group": "overlays",
"layergroup": "Cloud Liquid Water"
}
}
}
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{
"layers": {
"AMSRU2_L3_Cloud_Liquid_Water_Monthly": {
"id": "AMSRU2_L3_Cloud_Liquid_Water_Monthly",
"description": "amsr2/AMSRU2_L3_Cloud_Liquid_Water_Monthly",
"tags": "amsru2 amsr-u2",
"group": "overlays",
"layergroup": "Cloud Liquid Water"
}
}
}
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{
"layers": {
"AMSRU2_L3_Cloud_Liquid_Water_Weekly": {
"id": "AMSRU2_L3_Cloud_Liquid_Water_Weekly",
"description": "amsr2/AMSRU2_L3_Cloud_Liquid_Water_Weekly",
"tags": "amsru2 amsr-u2",
"group": "overlays",
"layergroup": "Cloud Liquid Water"
}
}
}
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{
"layers": {
"AMSRU2_L3_Ocean_Wind_Speed_Daily": {
"id": "AMSRU2_L3_Ocean_Wind_Speed_Daily",
"description": "amsr2/AMSRU2_L3_Ocean_Wind_Speed_Daily",
"tags": "amsru2 amsr-u2",
"group": "overlays",
"layergroup": "Wind Speed"
}
}
}
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{
"layers": {
"AMSRU2_L3_Ocean_Wind_Speed_Monthly": {
"id": "AMSRU2_L3_Ocean_Wind_Speed_Monthly",
"description": "amsr2/AMSRU2_L3_Ocean_Wind_Speed_Monthly",
"tags": "amsru2 amsr-u2",
"group": "overlays",
"layergroup": "Wind Speed"
}
}
}
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{
"layers": {
"AMSRU2_L3_Ocean_Wind_Speed_Weekly": {
"id": "AMSRU2_L3_Ocean_Wind_Speed_Weekly",
"description": "amsr2/AMSRU2_L3_Ocean_Wind_Speed_Weekly",
"tags": "amsru2 amsr-u2",
"group": "overlays",
"layergroup": "Wind Speed"
}
}
}
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{
"layers": {
"AMSRU2_L3_Total_Precipitable_Water_Daily": {
"id": "AMSRU2_L3_Total_Precipitable_Water_Daily",
"description": "amsr2/AMSRU2_L3_Total_Precipitable_Water_Daily",
"tags": "amsru2 amsr-u2",
"group": "overlays",
"layergroup": "Precipitation Rate"
}
}
}
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{
"layers": {
"AMSRU2_L3_Total_Precipitable_Water_Monthly": {
"id": "AMSRU2_L3_Total_Precipitable_Water_Monthly",
"description": "amsr2/AMSRU2_L3_Total_Precipitable_Water_Monthly",
"tags": "amsru2 amsr-u2",
"group": "overlays",
"layergroup": "Precipitation Rate"
}
}
}
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{
"layers": {
"AMSRU2_L3_Total_Precipitable_Water_Weekly": {
"id": "AMSRU2_L3_Total_Precipitable_Water_Weekly",
"description": "amsr2/AMSRU2_L3_Total_Precipitable_Water_Weekly",
"tags": "amsru2 amsr-u2",
"group": "overlays",
"layergroup": "Precipitation Rate"
}
}
}
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"settings": [
"AMSRU2_Cloud_Liquid_Water_Day",
"AMSRU2_Cloud_Liquid_Water_Night",
"AMSRU2_L3_Cloud_Liquid_Water_Daily",
"AMSRU2_L3_Cloud_Liquid_Water_Weekly",
"AMSRU2_L3_Cloud_Liquid_Water_Monthly",
"OrbitTracks_GCOM-W1_Ascending",
"OrbitTracks_GCOM-W1_Descending"
]
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"AMSRU2_Surface_Precipitation_Night",
"AMSRU2_Total_Precipitable_Water_Day",
"AMSRU2_Total_Precipitable_Water_Night",
"AMSRU2_L3_Total_Precipitable_Water_Daily",
"AMSRU2_L3_Total_Precipitable_Water_Weekly",
"AMSRU2_L3_Total_Precipitable_Water_Monthly",
"OrbitTracks_GCOM-W1_Ascending",
"OrbitTracks_GCOM-W1_Descending"
]
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"settings": [
"AMSRU2_Wind_Speed_Day",
"AMSRU2_Wind_Speed_Night",
"AMSRU2_L3_Ocean_Wind_Speed_Daily",
"AMSRU2_L3_Ocean_Wind_Speed_Weekly",
"AMSRU2_L3_Ocean_Wind_Speed_Monthly",
"OrbitTracks_GCOM-W1_Ascending",
"OrbitTracks_GCOM-W1_Descending"
]
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