{
  "no.met.adc:e4e816a9-88c3-5168-80fd-420b77bec222": {
    "group_id": "no.met.adc:e4e816a9-88c3-5168-80fd-420b77bec222",
    "members": [
      "aac305340d32",
      "94eececcbd38",
      "7ab0dc06a7bb",
      "92dd849d2c31",
      "78ac54e891a8",
      "c8b16e3b5f1a",
      "109df590a6a9",
      "dc99c9b0bb01",
      "e612254cbebf"
    ],
    "title": "Arctic Sea Ice Age Climate Data Record v2.1",
    "abstract": "This climate data record of sea ice age is obtained from coarse resolution ice drift and conentration OSI SAF products. The processing chain features: 1) Lagrangian advection of ice age fractions, 2) Weighted averaging of fractions.",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/NERSC_arctic25km_sea_ice_age_v2p1/2016/arctic25km_sea_ice_age_v2p1_20160513.nc",
    "identifier": "no.met.adc:e4e816a9-88c3-5168-80fd-420b77bec222",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:da1ef2cf-a2ae-56f9-bc36-937cf24bbe6e": {
    "group_id": "no.met.adc:da1ef2cf-a2ae-56f9-bc36-937cf24bbe6e",
    "members": [
      "1da4c322a188",
      "17bd6925cac6",
      "94975ec03e5f",
      "a54462e9d79f",
      "f256d46283f6",
      "399a3461270a",
      "5e8c9b1837f8",
      "f168931723c8"
    ],
    "title": "SO-SIMBA climate data record of snow depth on sea ice from altimeters",
    "abstract": "The MMS snow depth product, updated monthly, combines data from radar and laser altimetry (CryoSat-2, Sentinel-3, and ICESat-2) and snow depth derived from passive microwave. Snow depth from altimeters is derived by subtracting sea ice freeboard from snow freeboard. A drift-aware module ensures alignment of data across sensors (Ricker et al., 2025). Gridded snow depth is produced by merging and differencing these measurements, using established methods (Kacimi & Kwok, 2020). The MMS snow volume is calculated from the MMS snow depth and sea ice concentrations (SIC) from AMSR-E and AMSR2 using the ASI algorithm (Spreen et al., 2008, https://doi.org/10.1029/2005JC003384). From SIC the area covered by sea ice is calculated for every grid cell and multiplied by the snow depth to obtain sea ice volume per grid cell. The creation of this dataset was funded by ESA Polar Science Cluster project SO-SIMBA.",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/SO-SIMBA/SOSIMBA_MMS_SD_vf/2019/09/SOSIMBA_MMS-L3-SISNOWDEPTH-ATLAS_ICESAT2_SIRAL_CRYOSAT2_SRAL_SENTINEL3A_SRAL_SENTINEL3B-SH_25KM_EASE2-20190928-fv100.nc",
    "identifier": "no.met.adc:da1ef2cf-a2ae-56f9-bc36-937cf24bbe6e",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:621c00ac-2e1b-5f32-9a12-3e37cb52d8cf": {
    "group_id": "no.met.adc:621c00ac-2e1b-5f32-9a12-3e37cb52d8cf",
    "members": [
      "0e3d48518f09"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_MPI-ESM-LR_rcp45_ensmean_2006-2040_monmin.nc",
    "identifier": "no.met.adc:621c00ac-2e1b-5f32-9a12-3e37cb52d8cf",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:c89a2a1b-a9dc-57ff-8bc0-93c05fce97ae": {
    "group_id": "no.met.adc:c89a2a1b-a9dc-57ff-8bc0-93c05fce97ae",
    "members": [
      "33f2cdea78e2",
      "b590d4581284",
      "9f733d74aba2",
      "19ff087c99fe"
    ],
    "title": "Daily aggregated SLSTR 1 km snow cover product for Svalbard",
    "abstract": "Snow cover data set obtained from optical and infrared satellite imagery.",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/sios/SnowPilot/SvalSCE_SLSTR/snowpilot_slstr.ncml",
    "identifier": "no.met.adc:c89a2a1b-a9dc-57ff-8bc0-93c05fce97ae",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:3ba89c25-9a36-54d5-b585-4f2fa31e5366": {
    "group_id": "no.met.adc:3ba89c25-9a36-54d5-b585-4f2fa31e5366",
    "members": [
      "878eeb40fe41"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_MPI-ESM-LR_historical_ensmean_1950-2005_monmax.nc",
    "identifier": "no.met.adc:3ba89c25-9a36-54d5-b585-4f2fa31e5366",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:f05f1e26-e36e-511c-9265-56a9a6b7c25e": {
    "group_id": "no.met.adc:f05f1e26-e36e-511c-9265-56a9a6b7c25e",
    "members": [
      "0b48e71a2fa1"
    ],
    "title": "NorESM1-ME model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_NorESM1-ME_historical_r1i1p1_1950-2005_monmean.nc",
    "identifier": "no.met.adc:f05f1e26-e36e-511c-9265-56a9a6b7c25e",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "c4e859b36b40": {
    "group_id": "c4e859b36b40",
    "members": [
      "90248adb085a",
      "c400b27b42d7",
      "5592afd6d16f"
    ],
    "title": "Arctic Sea Ice Age CDR v2.1",
    "abstract": "Lagrangian sea ice age, 25 km EASE-Grid 2.0 North",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/NERSC_arctic25km_sea_ice_age_v2p1/2013/arctic25km_sea_ice_age_v2p1_20130517.nc",
    "identifier": "",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:fbcd5409-9004-5a5e-a0d6-0d0b19e5aed1": {
    "group_id": "no.met.adc:fbcd5409-9004-5a5e-a0d6-0d0b19e5aed1",
    "members": [
      "dbf9563bc0f2",
      "2daac0b09a84",
      "e5f8f497ce23",
      "f38072e1fcaf",
      "f4df30b45bef"
    ],
    "title": "Arctic sea-ice drift vectors using a DM (daily-maps) approach.",
    "abstract": "Underlying dataset for the Lavergne et al. (2020) manuscript in EGU The Cryosphere Discussion. Processed from GCOM-W1 AMSR2 36.5 GHz (Ka-band) imagery. See the manuscript for more details.",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/S2S_drift_TCD/SIDRIFT_DM_NH/2019/11/28/icedrift_amsr2-gw1_tb37v-LapAtb37h-Lap_simplex_lev2_nh625_2019112712w_2019112812w.nc",
    "identifier": "no.met.adc:fbcd5409-9004-5a5e-a0d6-0d0b19e5aed1",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:63ffd1f1-4e26-58ec-8803-118f3469429b": {
    "group_id": "no.met.adc:63ffd1f1-4e26-58ec-8803-118f3469429b",
    "members": [
      "efb26386a416"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_MPI-ESM-LR_rcp45_ensmean_2006-2040_monmax.nc",
    "identifier": "no.met.adc:63ffd1f1-4e26-58ec-8803-118f3469429b",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:5d991b53-1ec3-5c2f-9106-172651c0f6b2": {
    "group_id": "no.met.adc:5d991b53-1ec3-5c2f-9106-172651c0f6b2",
    "members": [
      "8d018d2d54cc"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_MPI-ESM-LR_rcp45_ensmean_2006-2040_monmean.nc",
    "identifier": "no.met.adc:5d991b53-1ec3-5c2f-9106-172651c0f6b2",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:b9f46be1-e251-5140-87af-97ed7abb10df": {
    "group_id": "no.met.adc:b9f46be1-e251-5140-87af-97ed7abb10df",
    "members": [
      "9694bc2aff6d"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_MPI-ESM-LR_rcp45_ensmean_2006-2040_monmax.nc",
    "identifier": "no.met.adc:b9f46be1-e251-5140-87af-97ed7abb10df",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:86bde6af-f586-5464-8233-b931f3782dbc": {
    "group_id": "no.met.adc:86bde6af-f586-5464-8233-b931f3782dbc",
    "members": [
      "1b96eb4ccaed"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_MPI-ESM-LR_historical_ensmean_1950-2005_monmin.nc",
    "identifier": "no.met.adc:86bde6af-f586-5464-8233-b931f3782dbc",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:f15ba3b0-793a-5369-b9ad-4277fd6ef96f": {
    "group_id": "no.met.adc:f15ba3b0-793a-5369-b9ad-4277fd6ef96f",
    "members": [
      "021f03d5144d"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_MPI-ESM-LR_rcp45_ensmean_2006-2040_monmin.nc",
    "identifier": "no.met.adc:f15ba3b0-793a-5369-b9ad-4277fd6ef96f",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:734e5f3f-fc9d-5b2b-a354-785d4ce08ce0": {
    "group_id": "no.met.adc:734e5f3f-fc9d-5b2b-a354-785d4ce08ce0",
    "members": [
      "0b6f933b2e18"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_MPI-ESM-LR_rcp45_ensmean_2006-2040_monmean.nc",
    "identifier": "no.met.adc:734e5f3f-fc9d-5b2b-a354-785d4ce08ce0",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:5e4cfa07-1ce7-5e61-910f-378351464af9": {
    "group_id": "no.met.adc:5e4cfa07-1ce7-5e61-910f-378351464af9",
    "members": [
      "d7bc112c798a"
    ],
    "title": "CCSM4 model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_CCSM4_rcp45_ensmean_2006-2040_monmean.nc",
    "identifier": "no.met.adc:5e4cfa07-1ce7-5e61-910f-378351464af9",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:c1b42e88-a620-5630-be0e-ed4256a88e28": {
    "group_id": "no.met.adc:c1b42e88-a620-5630-be0e-ed4256a88e28",
    "members": [
      "211f3330d719"
    ],
    "title": "NOAA GFDL GFDL-CM3, historical (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_GFDL-CM3_historical_ensmean_1950-2005_monmax.nc",
    "identifier": "no.met.adc:c1b42e88-a620-5630-be0e-ed4256a88e28",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:ad1b4c8b-c1eb-518a-b5ca-c80e7232b389": {
    "group_id": "no.met.adc:ad1b4c8b-c1eb-518a-b5ca-c80e7232b389",
    "members": [
      "f0e09b0f86cb"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_MPI-ESM-LR_historical_ensmean_1950-2005_monmean.nc",
    "identifier": "no.met.adc:ad1b4c8b-c1eb-518a-b5ca-c80e7232b389",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:2d8d13b4-ab7b-5ab0-8a0b-af1df3dd4d6b": {
    "group_id": "no.met.adc:2d8d13b4-ab7b-5ab0-8a0b-af1df3dd4d6b",
    "members": [
      "84f6492ff63e"
    ],
    "title": "NOAA GFDL GFDL-CM3, historical (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_GFDL-CM3_historical_ensmean_1950-2005_monmin.nc",
    "identifier": "no.met.adc:2d8d13b4-ab7b-5ab0-8a0b-af1df3dd4d6b",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:163c657a-12e4-5411-b7df-f3e51644c73f": {
    "group_id": "no.met.adc:163c657a-12e4-5411-b7df-f3e51644c73f",
    "members": [
      "db8550c32458"
    ],
    "title": "NOAA GFDL GFDL-CM3, historical (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_GFDL-CM3_historical_ensmean_1950-2005_monmean.nc",
    "identifier": "no.met.adc:163c657a-12e4-5411-b7df-f3e51644c73f",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:39391557-7b31-56e5-9a72-6b180fa954f1": {
    "group_id": "no.met.adc:39391557-7b31-56e5-9a72-6b180fa954f1",
    "members": [
      "ccd42126103a"
    ],
    "title": "NOAA GFDL GFDL-CM3, historical (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_GFDL-CM3_historical_ensmean_1950-2005_monmin.nc",
    "identifier": "no.met.adc:39391557-7b31-56e5-9a72-6b180fa954f1",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:cdc1b617-8c1b-5204-8d0f-eee6db9e6f83": {
    "group_id": "no.met.adc:cdc1b617-8c1b-5204-8d0f-eee6db9e6f83",
    "members": [
      "8340cd2db029"
    ],
    "title": "NOAA GFDL GFDL-CM3, RCP4.5 (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_GFDL-CM3_historical_ensmean_1950-2005_monmin.nc",
    "identifier": "no.met.adc:cdc1b617-8c1b-5204-8d0f-eee6db9e6f83",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:e05715f0-2d15-516c-a449-3d103e9576dc": {
    "group_id": "no.met.adc:e05715f0-2d15-516c-a449-3d103e9576dc",
    "members": [
      "1a3904ea003b"
    ],
    "title": "NOAA GFDL GFDL-CM3, RCP4.5 (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_GFDL-CM3_historical_ensmean_1950-2005_monmean.nc",
    "identifier": "no.met.adc:e05715f0-2d15-516c-a449-3d103e9576dc",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:1197d973-1cdb-5a09-b88d-361090ad1714": {
    "group_id": "no.met.adc:1197d973-1cdb-5a09-b88d-361090ad1714",
    "members": [
      "c8b16d5307da"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_MPI-ESM-LR_historical_ensmean_1950-2005_monmean.nc",
    "identifier": "no.met.adc:1197d973-1cdb-5a09-b88d-361090ad1714",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:da8c25a8-962c-566a-abfc-b69a90397258": {
    "group_id": "no.met.adc:da8c25a8-962c-566a-abfc-b69a90397258",
    "members": [
      "854d090cb16e"
    ],
    "title": "NOAA GFDL GFDL-CM3, RCP4.5 (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_GFDL-CM3_rcp45_r1i1p1_2006-2040_monmean.nc",
    "identifier": "no.met.adc:da8c25a8-962c-566a-abfc-b69a90397258",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:97caa8ae-71b7-5371-bfc1-7b13f9be1579": {
    "group_id": "no.met.adc:97caa8ae-71b7-5371-bfc1-7b13f9be1579",
    "members": [
      "685b5bb72a63"
    ],
    "title": "NOAA GFDL GFDL-CM3, RCP4.5 (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_GFDL-CM3_rcp45_r1i1p1_2006-2040_monmean.nc",
    "identifier": "no.met.adc:97caa8ae-71b7-5371-bfc1-7b13f9be1579",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:e917f63b-d58f-55e5-ad27-1352c07aacbd": {
    "group_id": "no.met.adc:e917f63b-d58f-55e5-ad27-1352c07aacbd",
    "members": [
      "88d231e2d23f"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_MPI-ESM-LR_historical_ensmean_1950-2005_monmean.nc",
    "identifier": "no.met.adc:e917f63b-d58f-55e5-ad27-1352c07aacbd",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:d3cd04f0-556a-5c36-8e22-acd54c478b59": {
    "group_id": "no.met.adc:d3cd04f0-556a-5c36-8e22-acd54c478b59",
    "members": [
      "e26aa788846c"
    ],
    "title": "NorESM1-ME model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_NorESM1-ME_rcp45_r1i1p1_2006-2040_monmean.nc",
    "identifier": "no.met.adc:d3cd04f0-556a-5c36-8e22-acd54c478b59",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:8b28947a-f153-5e66-85c9-0542556cdb5d": {
    "group_id": "no.met.adc:8b28947a-f153-5e66-85c9-0542556cdb5d",
    "members": [
      "7b6d8ba41ce6"
    ],
    "title": "NorESM1-ME model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_NorESM1-ME_rcp45_r1i1p1_2006-2040_monmean.nc",
    "identifier": "no.met.adc:8b28947a-f153-5e66-85c9-0542556cdb5d",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:a3cce0d9-699b-5bcd-9d17-5f3950b114a4": {
    "group_id": "no.met.adc:a3cce0d9-699b-5bcd-9d17-5f3950b114a4",
    "members": [
      "a631d6ff718f"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_MPI-ESM-LR_historical_ensmean_1950-2005_monmax.nc",
    "identifier": "no.met.adc:a3cce0d9-699b-5bcd-9d17-5f3950b114a4",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:aaf2b015-637d-5cc3-b86b-21b5d5230614": {
    "group_id": "no.met.adc:aaf2b015-637d-5cc3-b86b-21b5d5230614",
    "members": [
      "4a8706b080aa"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_MPI-ESM-LR_rcp45_ensmean_2006-2040_monmin.nc",
    "identifier": "no.met.adc:aaf2b015-637d-5cc3-b86b-21b5d5230614",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:989c4dea-656f-5a18-8847-106e8e1b79ad": {
    "group_id": "no.met.adc:989c4dea-656f-5a18-8847-106e8e1b79ad",
    "members": [
      "d000243251ed"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_MPI-ESM-LR_rcp45_ensmean_2006-2040_monmax.nc",
    "identifier": "no.met.adc:989c4dea-656f-5a18-8847-106e8e1b79ad",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:3fa48a4b-e4b0-5bc0-a016-5252f73cfcf9": {
    "group_id": "no.met.adc:3fa48a4b-e4b0-5bc0-a016-5252f73cfcf9",
    "members": [
      "e6f6d9461d79"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_MPI-ESM-LR_rcp45_ensmean_2006-2040_monmean.nc",
    "identifier": "no.met.adc:3fa48a4b-e4b0-5bc0-a016-5252f73cfcf9",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:d1c3940d-2273-581f-ba44-7eeb82d617c4": {
    "group_id": "no.met.adc:d1c3940d-2273-581f-ba44-7eeb82d617c4",
    "members": [
      "cf1ec4e88e3e"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_MPI-ESM-LR_historical_ensmean_1950-2005_monmin.nc",
    "identifier": "no.met.adc:d1c3940d-2273-581f-ba44-7eeb82d617c4",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:802f788b-e67f-533f-84df-0f908da7b0b6": {
    "group_id": "no.met.adc:802f788b-e67f-533f-84df-0f908da7b0b6",
    "members": [
      "0807eba69315"
    ],
    "title": "CCSM4 model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_CCSM4_historical_ensmean_1950-2005_monmean.nc",
    "identifier": "no.met.adc:802f788b-e67f-533f-84df-0f908da7b0b6",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:486ad3e1-b9ab-5a7a-89a9-8d018ee1d1ff": {
    "group_id": "no.met.adc:486ad3e1-b9ab-5a7a-89a9-8d018ee1d1ff",
    "members": [
      "9511b849dd96"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_MPI-ESM-LR_historical_ensmean_1950-2005_monmax.nc",
    "identifier": "no.met.adc:486ad3e1-b9ab-5a7a-89a9-8d018ee1d1ff",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:6f2c1700-1987-54b4-98a4-acb4db471153": {
    "group_id": "no.met.adc:6f2c1700-1987-54b4-98a4-acb4db471153",
    "members": [
      "7768c537e94f"
    ],
    "title": "NOAA GFDL GFDL-CM3, RCP4.5 (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_GFDL-CM3_historical_ensmean_1950-2005_monmax.nc",
    "identifier": "no.met.adc:6f2c1700-1987-54b4-98a4-acb4db471153",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:7a5521e1-ff9c-5e07-a6f6-f31f2e567c30": {
    "group_id": "no.met.adc:7a5521e1-ff9c-5e07-a6f6-f31f2e567c30",
    "members": [
      "ae928536961c"
    ],
    "title": "NOAA GFDL GFDL-CM3, RCP4.5 (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_GFDL-CM3_rcp45_r1i1p1_2006-2040_monmean.nc",
    "identifier": "no.met.adc:7a5521e1-ff9c-5e07-a6f6-f31f2e567c30",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:8957c32b-cbda-51b4-ada9-1f5f8e8e8640": {
    "group_id": "no.met.adc:8957c32b-cbda-51b4-ada9-1f5f8e8e8640",
    "members": [
      "97c01434c581"
    ],
    "title": "NorESM1-ME model output prepared for CMIP5 RCP4.5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_NorESM1-ME_rcp45_r1i1p1_2006-2040_monmean.nc",
    "identifier": "no.met.adc:8957c32b-cbda-51b4-ada9-1f5f8e8e8640",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:8161a71f-dfc5-5365-a457-fcd5da7ddcf9": {
    "group_id": "no.met.adc:8161a71f-dfc5-5365-a457-fcd5da7ddcf9",
    "members": [
      "2e5ab0fc91bb"
    ],
    "title": "NorESM1-ME model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_NorESM1-ME_historical_r1i1p1_1950-2005_monmean.nc",
    "identifier": "no.met.adc:8161a71f-dfc5-5365-a457-fcd5da7ddcf9",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:67dc2f1e-3bd8-54a3-b2fe-589a5286470b": {
    "group_id": "no.met.adc:67dc2f1e-3bd8-54a3-b2fe-589a5286470b",
    "members": [
      "7fcc982a1765"
    ],
    "title": "MPI-ESM-LR model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_vas_MPI-ESM-LR_historical_ensmean_1950-2005_monmin.nc",
    "identifier": "no.met.adc:67dc2f1e-3bd8-54a3-b2fe-589a5286470b",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:e9f37822-38dd-5285-adaf-eb3b1ceefa2a": {
    "group_id": "no.met.adc:e9f37822-38dd-5285-adaf-eb3b1ceefa2a",
    "members": [
      "7b5208e0e14e"
    ],
    "title": "NOAA GFDL GFDL-CM3, historical (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_tas_GFDL-CM3_historical_ensmean_1950-2005_monmean.nc",
    "identifier": "no.met.adc:e9f37822-38dd-5285-adaf-eb3b1ceefa2a",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:5da7dfcb-78b2-54e9-a4bc-3af2291660de": {
    "group_id": "no.met.adc:5da7dfcb-78b2-54e9-a4bc-3af2291660de",
    "members": [
      "156bc413ed1d"
    ],
    "title": "NOAA GFDL GFDL-CM3, historical (run 1) experiment output for CMIP5 AR5",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_GFDL-CM3_historical_ensmean_1950-2005_monmax.nc",
    "identifier": "no.met.adc:5da7dfcb-78b2-54e9-a4bc-3af2291660de",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:fbf57d48-615f-591f-9e3c-2ef8e388b66a": {
    "group_id": "no.met.adc:fbf57d48-615f-591f-9e3c-2ef8e388b66a",
    "members": [
      "eb80f9e864e9"
    ],
    "title": "NorESM1-ME model output prepared for CMIP5 historical",
    "abstract": "",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/access/awi/atmos025grid/atmos025grid_uas_NorESM1-ME_historical_r1i1p1_1950-2005_monmean.nc",
    "identifier": "no.met.adc:fbf57d48-615f-591f-9e3c-2ef8e388b66a",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:5839f55d-592e-560e-b6c8-62aafe5ccb41": {
    "group_id": "no.met.adc:5839f55d-592e-560e-b6c8-62aafe5ccb41",
    "members": [
      "36f40adfe736",
      "07113ef1f56f",
      "ac58433e6b2f",
      "2d46443d1f74",
      "dbffbc7df32c",
      "c18d31bf09f4",
      "4c4c86a2f0c5",
      "a6fc7483ca10"
    ],
    "title": "SO-SIMBA climate data record of snow depth on sea ice from altimeters",
    "abstract": "The MMS snow depth product, updated monthly, combines data from radar and laser altimetry (CryoSat-2, Sentinel-3, and ICESat-2) and snow depth derived from passive microwave. Snow depth from altimeters is derived by subtracting sea ice freeboard from snow freeboard. A drift-aware module ensures alignment of data across sensors (Ricker et al., 2025). Gridded snow depth is produced by merging and differencing these measurements, using established methods (Kacimi & Kwok, 2020). The MMS snow volume is calculated from the MMS snow depth and sea ice concentrations (SIC) from AMSR-E and AMSR2 using the ASI algorithm (Spreen et al., 2008, https://doi.org/10.1029/2005JC003384). From SIC the area covered by sea ice is calculated for every grid cell and multiplied by the snow depth to obtain sea ice volume per grid cell. The creation of this dataset was funded by ESA Polar Science Cluster project SO-SIMBA.",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/SO-SIMBA/SOSIMBA_MMS_SD_vf/sosimba_mmd_sd_vf.ncml",
    "identifier": "no.met.adc:5839f55d-592e-560e-b6c8-62aafe5ccb41",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "no.met.adc:e7b846fb-de0e-53c9-a02a-a58230bc2a50": {
    "group_id": "no.met.adc:e7b846fb-de0e-53c9-a02a-a58230bc2a50",
    "members": [
      "3c222cbd7443"
    ],
    "title": "NORCE NDVI for Svalbard",
    "abstract": "Daily NDVI form 10 May to 20 September year 2000 for Svalbard. Only areas with summer NDVI > 0.0, other areas has -1.001 in value",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/infranor/norce-ndvi/NORCE-NDVI.ncml",
    "identifier": "no.met.adc:e7b846fb-de0e-53c9-a02a-a58230bc2a50",
    "collection_id": "",
    "kind": "opendap_timeseries"
  },
  "41577c74e91d": {
    "group_id": "41577c74e91d",
    "members": [
      "33f2cdea78e2",
      "9f733d74aba2",
      "19ff087c99fe"
    ],
    "title": "Daily aggregated SLSTR 1 km snow cover product for Svalbard",
    "abstract": "Snow cover data set obtained from optical and infrared satellite imagery.",
    "source": "https://thredds.met.no/thredds/dodsC/arcticdata/sios/SnowPilot/SvalSCE_SLSTR/snowpilot_slstr.ncml",
    "identifier": "",
    "collection_id": "",
    "kind": "opendap_timeseries"
  }
}