Updated datasets 2024-11-12 UTC

datasets/HMA2_LHI_1.json

@@ -86,7 +86,7 @@
         "temporal": {
             "interval": [
                 [
-                    "1990-01-31T00:00:00Z",
+                    "1990-01-01T00:00:00Z",
                     "2100-12-31T23:59:59.999000Z"
                 ]
             ]

datasets/OCO2_L2_Lite_SIF_11.2r.json

@@ -152,27 +152,6 @@
                 "metadata"
             ]
         },
-        "s3_gesdisc_cumulus_prod_protected_OCO2_DATA_OCO2_L2_Lite_SIF_11_2r_": {
-            "href": "s3://gesdisc-cumulus-prod-protected/OCO2_DATA/OCO2_L2_Lite_SIF.11.2r/",
-            "title": "gesdisc_cumulus_prod_protected_OCO2_DATA_OCO2_L2_Lite_SIF_11_2r_",
-            "roles": [
-                "data"
-            ]
-        },
-        "s3_credentials": {
-            "href": "https://data.gesdisc.earthdata.nasa.gov/s3credentials",
-            "title": "S3 credentials API endpoint",
-            "roles": [
-                "metadata"
-            ]
-        },
-        "s3_credentials_documentation": {
-            "href": "https://data.gesdisc.earthdata.nasa.gov/s3credentialsREADME",
-            "title": "S3 credentials API endpoint documentation",
-            "roles": [
-                "metadata"
-            ]
-        },
         "metadata": {
             "href": "https://cmr.earthdata.nasa.gov/search/concepts/C2912084771-GES_DISC.xml",
             "type": "application/xml",

datasets/OSCAR_L4_OC_FINAL_V2.0_2.0.json

@@ -87,7 +87,7 @@
             "interval": [
                 [
                     "1993-01-01T00:00:00Z",
-                    "2021-01-01T00:00:00Z"
+                    "2023-01-01T00:00:00Z"
                 ]
             ]
         }

nasa_cmr_catalog.json

@@ -87597,7 +87597,7 @@
         "id": "HMA2_LHI_1",
         "title": "High Mountain Asia Daily 5km Landslide Hazard Indicator V001",
         "catalog": "NSIDC_ECS STAC Catalog",
-        "state_date": "1990-01-31",
+        "state_date": "1990-01-01",
         "end_date": "2100-12-31",
         "bbox": "60, 20, 111, 46",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2866651061-NSIDC_ECS.umm_json",
@@ -152403,7 +152403,7 @@
         "title": "Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Final 0.25 Degree (Version 2.0)",
         "catalog": "POCLOUD STAC Catalog",
         "state_date": "1993-01-01",
-        "end_date": "2021-01-01",
+        "end_date": "2023-01-01",
         "bbox": "-180, -89.75, 180, 89.75",
         "url": "https://cmr.earthdata.nasa.gov/search/concepts/C2098858642-POCLOUD.umm_json",
         "metadata": "https://cmr.earthdata.nasa.gov/search/concepts/C2098858642-POCLOUD.html",

nasa_cmr_catalog.tsv

@@ -6740,7 +6740,7 @@ HMA2_FGP_1	High Mountain Asia 30m and 8m Flood Geomorphic Potential V001	NSIDC_E
 HMA2_GFTP_1	High Mountain Asia 1 km MODIS-AIRS Gap-Filled Ground Temperatures and Permafrost Probability Maps, 2003-2016 V001	NSIDC_ECS STAC Catalog	2003-01-01	2016-12-31	63, 22.7, 106.7, 45	https://cmr.earthdata.nasa.gov/search/concepts/C3187424792-NSIDC_ECS.umm_json	This data set consists of 1 km resolution monthly land surface temperatures (MLSTs); mean annual ground temperatures (MAGTs); and estimates of permafrost extent (PE) in the High Mountain Asia region from 1 Jan 2003 – 31 Dec 2016.  The data were generated by gap-filling daily MODIS Terra/Aqua Land surface temperatures (LSTs) with downscaled Atmospheric Infra-Red Sounder (AIRS) skin surface temperatures.	proprietary
 HMA2_GGP_1	Global PyGEM-OGGM Glacier Projections with RCP and SSP Scenarios V001	NSIDC_ECS STAC Catalog	2000-01-01	2100-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2559364353-NSIDC_ECS.umm_json	This data set comprises results from a hybrid glacier evolution model that uses the mass balance module of the Python Glacier Evolution Model (PyGEM) and the glacier dynamics module of the Open Global Glacier Model (OGGM). Output parameters include projections of glacier mass change, fixed runoff, and various mass balance components at regionally aggregated and glacier scales.	proprietary
 HMA2_HFD_1	High Mountain Asia 5 Arc-Minute Hydrological Flow Direction for the Headwaters of the Amu Darya and Indus River Basins V001	NSIDC_ECS STAC Catalog	2023-03-23	2023-03-23	65.59, 31.09, 81.75, 39.84	https://cmr.earthdata.nasa.gov/search/concepts/C2754381926-NSIDC_ECS.umm_json	"This High Mountain Asia (HMA) data set contains hydrological flow directions at 5 arc-minute resolution for the headwaters of the Amu Darya and Indus River basins. The domain spans parts of Afghanistan, Tajikistan, Kyrgyzstan, and Pakistan. Flow directions are reported in deterministic eight (D8) format.  The data were developed to support the University of New Hampshire Water Balance Model and the ""High Mountain Asia CMIP6 Monthly and Yearly Water Balance Projections, 2016-2099 for Parts of Afghanistan, Tajikistan, Kyrgyzstan, and Pakistan, Version 1"" data set."	proprietary
-HMA2_LHI_1	High Mountain Asia Daily 5km Landslide Hazard Indicator V001	NSIDC_ECS STAC Catalog	1990-01-31	2100-12-31	60, 20, 111, 46	https://cmr.earthdata.nasa.gov/search/concepts/C2866651061-NSIDC_ECS.umm_json	This data set projects the daily hazard of rainfall-triggered landslides in the High Mountain Asia region from 2015 through 2100, at 5 km resolution. Projections are provided for two Shared Socioeconomic Pathways (SSPs)—SSP2-4.5 and SSP5 8.5—based on temperature and precipitation projections from a 30-member ensemble climate model.  Landslide hazard is represented by a landslide hazard indicator (LHI), computed with a machine learning model trained on historical temperatures and precipitation and a catalog of documented landslides.  The historical landslides used to train the model are available as a separate record.	proprietary
+HMA2_LHI_1	High Mountain Asia Daily 5km Landslide Hazard Indicator V001	NSIDC_ECS STAC Catalog	1990-01-01	2100-12-31	60, 20, 111, 46	https://cmr.earthdata.nasa.gov/search/concepts/C2866651061-NSIDC_ECS.umm_json	This data set projects the daily hazard of rainfall-triggered landslides in the High Mountain Asia region from 2015 through 2100, at 5 km resolution. Projections are provided for two Shared Socioeconomic Pathways (SSPs)—SSP2-4.5 and SSP5 8.5—based on temperature and precipitation projections from a 30-member ensemble climate model.  Landslide hazard is represented by a landslide hazard indicator (LHI), computed with a machine learning model trained on historical temperatures and precipitation and a catalog of documented landslides.  The historical landslides used to train the model are available as a separate record.	proprietary
 HMA2_MATCHA_1	High Mountain Asia 12 km Modeled Estimates of Aerosol Transport, Chemistry, and Deposition Reanalysis, 2003-2019 V001	NSIDC_ECS STAC Catalog	2003-01-01	2019-08-31	44.647, 4.873, 138.953, 57.767	https://cmr.earthdata.nasa.gov/search/concepts/C3084467669-NSIDC_ECS.umm_json	This data set contains a 12 km resolution, simulated reanalysis of aerosol transport, chemistry, and deposition over the High Mountain Asia (HMA) region for 1 January 2003 through 31 August 2019.  Two-dimensional surface data are provided at one hour intervals. Three-dimensional atmospheric data are provided at three-hour intervals for 35 sigma levels extending from the surface to 50 hPa.  Also known as the Model for Atmospheric Transport and Chemistry in Asia (MATCHA), the data comprise a wide range of variables intended to help assess the impacts of aerosols on the cryosphere in the HMA region, including: concentrations of black/brown carbon and other light absorbing particles (LAPs), broken out by source region; longwave/shortwave heating rates due to LAPs; wet/dry deposition of LAPs; precipitation and hydrological data; and meteorological state variables.  The simulation was generated using a fully coupled, regional chemistry-climate model (WRF-Chem-CLM-SNICAR), constrained by aerosol optical depth (AOD) and carbon monoxide (CO) satellite observations acquired by the Moderate Resolution Imaging Spectroradiometer (MODIS) and Measurements Of Pollution In The Troposphere (MOPITT) instruments, respectively.	proprietary
 HMA2_MTLI_1	High Mountain Asia Multitemporal Landslide Inventory for the Pumqu/Arun River Basin V001	NSIDC_ECS STAC Catalog	2011-12-01	2020-12-31	86.93, 26.94, 87.58, 28.11	https://cmr.earthdata.nasa.gov/search/concepts/C2217578876-NSIDC_ECS.umm_json	The transboundary Pumpqu/Arun River basin spreads across Nepal and Tibet. Nearly 95% of the basin lies in Tibet through which the Pumpqu River flows. The river is named the Arun River once it enters Nepal. Five large hydropower projects (in total about 3,163 MW) are currently under construction or are planned for the Arun River valley. Rainfall and earthquake-induced landslides, landslide dammed lakes, and landslide-induced glacial lake outburst floods pose major risks to the smooth operation of these projects. This data set is a multitemporal landslide inventory covering the whole Pumpqu/Arun River basin. It was generated in support of the World Bank’s Risk Assessment of Landslides in the Upper Arun Hydropower Project.	proprietary
 HMA2_NLSMR_1	High Mountain Asia Daily 0.05 x 0.05 deg Noah-MP Land Surface Model Reanalysis V001	NSIDC_ECS STAC Catalog	2003-01-01	2020-12-31	60, 20, 111, 46	https://cmr.earthdata.nasa.gov/search/concepts/C2808112558-NSIDC_ECS.umm_json	This data set consists of a water budget reanalysis for the High Mountain Asia (HMA) region spanning the years 2003 through 2020. Estimates are provided for more than 30 parameters, including storages; fluxes; snow depth, extent, and snow water equivalent; temperature (land surface, soil, snow, and ice); surface albedo; soil moisture; evapotranspiration; and streamflow.  The data were generated using the Noah Multi-Parameterization (Noah-MP) land surface model (Version 4.0.1), driven by precipitation estimates and hydrological inputs developed specifically for HMA.	proprietary
@@ -11728,7 +11728,7 @@ OS2_OSCAT_LEVEL_2B_OWV_COMP_12_V2_2	Oceansat-2 Scatterometer Level 2B Ocean Wind
 OS2_SCAT_L2B_1	Oceansat -2 Scatterometer Level-2B wind Vector Products	ISRO STAC Catalog	2010-01-01	2014-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C1990979255-ISRO.umm_json	Scatterometer provides wind vector data products for weather forecasting, cyclone detection and tracking services to the users	proprietary
 OS2_SCAT_L3SH_1	Oceansat-2 Scatterometer Level-3SH Sigma-0 Products Horizantal Polarization	ISRO STAC Catalog	2010-01-01	2014-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2025913655-ISRO.umm_json	All sigma-0 measurements (forward and aft looking) for Veritcal polarization and falling within a grid cell are averaged. A separate product is generated for Veritcal polarization.	proprietary
 OS2_SCAT_L3SV_1	Oceansat-2 Scatterometer Level-3SV Sigma-0 Products Vertical Polarization	ISRO STAC Catalog	2010-01-01	2014-12-31	-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2025914854-ISRO.umm_json	All sigma-0 measurements (forward and aft looking) for Horizantal polarization and falling within a grid cell are averaged. A separate product is generated for Horizontal polarization.	proprietary
-OSCAR_L4_OC_FINAL_V2.0_2.0	Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Final 0.25 Degree (Version 2.0)	POCLOUD STAC Catalog	1993-01-01	2021-01-01	-180, -89.75, 180, 89.75	https://cmr.earthdata.nasa.gov/search/concepts/C2098858642-POCLOUD.umm_json	Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day.  OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/.  More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.	proprietary
+OSCAR_L4_OC_FINAL_V2.0_2.0	Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Final 0.25 Degree (Version 2.0)	POCLOUD STAC Catalog	1993-01-01	2023-01-01	-180, -89.75, 180, 89.75	https://cmr.earthdata.nasa.gov/search/concepts/C2098858642-POCLOUD.umm_json	Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day.  OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/.  More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.	proprietary
 OSCAR_L4_OC_INTERIM_V2.0_2.0	Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Interim 0.25 Degree (Version 2.0)	POCLOUD STAC Catalog	2020-01-01		-180, -89.75, 180, 89.75	https://cmr.earthdata.nasa.gov/search/concepts/C2102959417-POCLOUD.umm_json	Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day.  OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/.  More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.	proprietary
 OSCAR_L4_OC_NRT_V2.0_2.0	Ocean Surface Current Analyses Real-time (OSCAR) Surface Currents - Near Real Time 0.25 Degree (Version 2.0)	POCLOUD STAC Catalog	2021-01-01		-180, -89.75, 180, 89.75	https://cmr.earthdata.nasa.gov/search/concepts/C2102958977-POCLOUD.umm_json	Ocean Surface Current Analyses Real-time (OSCAR) is a global surface current database and NASA funded research project. OSCAR ocean mixed layer velocities are calculated from satellite-sensed sea surface height gradients, ocean vector winds, and sea surface temperature gradients using a simplified physical model for geostrophy, Ekman, and thermal wind dynamics. Daily averaged surface currents are provided on a global 0.25 x 0.25 degree grid as an average over an assumed well-mixed top 30 m of the ocean from 1993 to present day.  OSCAR currents are provided at three quality levels: final, interim and nrt with a respective latency of each of approximately 1 year, 1 month, and 2 days. OSCAR is generated by Earth & Space Research (ESR) https://www.esr.org/research/oscar/.  More details on the source datasets, file structure, and methodology can be found in oscarv2guide.pdf.	proprietary
 OSTIA-UKMO-L4-GLOB-REP-v2.0_2.0	GHRSST Level 4 OSTIA Global Historical Reprocessed Foundation Sea Surface Temperature Analysis produced by the UK Meteorological Office	POCLOUD STAC Catalog	1982-01-01		-180, -90, 180, 90	https://cmr.earthdata.nasa.gov/search/concepts/C2586786218-POCLOUD.umm_json	The Operational Sea Surface Temperature and Sea Ice Analysis Reprocessed (OSTIA-REP) is a  GHRSST reprocessed Level-4 sea surface temperature and ice-concentration analysis produced by the UK Met Office (UKMO) using optimal interpolation (OI) on a global 0.05 degree grid. It is a sister product of the Near Real Time version (OSTIA-NRT), but incorporates satellite data from over 25 different SST sensors as well as in situ data from drifting and moored buoys. The OSTIA-REP is produced on a biannual frequency when more satellite and climatology observations are available from existing geostationary IR, and polar orbiting IR and MW satellites in addition to the data used in OSTIA-NRT. <br><br>  While OSTIA-NRT is produced to mainly serve as a lower boundary condition in Numerical Weather Prediction (NWP) models, this OSTIA-REP aims to provide a more accurate and consistent record of SST measurements over time, which is crucial for detecting long-term climate trends and variability. Both versions follow GHRSST Data Processing Specification (GDS) version 2 format guidelines.<br><br>  Data to June 2022 are also distributed through the E.U. Copernicus Marine Service Information (https://marine.copernicus.eu/, DOI: https://doi.org/10.48670/moi-00168 with the following license). Please refer to the user guide for more information. 	proprietary