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On May 10, 2023 at 9:00:54 PM UTC,
patdavid:
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Uploaded a new file to resource CMIP6_GCMs.tar.gz in Downscaled and bias corrected dataset for multiple GCMs and variables
| f | 1 | { | f | 1 | { |
| 2 | "author": "Fang Wang", | 2 | "author": "Fang Wang", | ||
| 3 | "author_email": "fzw0024@auburn.edu", | 3 | "author_email": "fzw0024@auburn.edu", | ||
| 4 | "creator_user_id": "383a0dce-09ad-42af-8eb5-02327d57d2a3", | 4 | "creator_user_id": "383a0dce-09ad-42af-8eb5-02327d57d2a3", | ||
| 5 | "extras": [ | 5 | "extras": [ | ||
| 6 | { | 6 | { | ||
| 7 | "key": "ISO.author.1", | 7 | "key": "ISO.author.1", | ||
| 8 | "value": "Di Tian <tiandi@auburn.edu>" | 8 | "value": "Di Tian <tiandi@auburn.edu>" | ||
| 9 | }, | 9 | }, | ||
| 10 | { | 10 | { | ||
| 11 | "key": "spatial", | 11 | "key": "spatial", | ||
| 12 | "value": "{\"type\": \"Polygon\", | 12 | "value": "{\"type\": \"Polygon\", | ||
| 13 | ":[[[-94.5,26],[-94.5,35.25],[-84.25,35.25],[-84.25,26],[-94.5,26]]]}" | 13 | ":[[[-94.5,26],[-94.5,35.25],[-84.25,35.25],[-84.25,26],[-94.5,26]]]}" | ||
| 14 | } | 14 | } | ||
| 15 | ], | 15 | ], | ||
| 16 | "groups": [], | 16 | "groups": [], | ||
| 17 | "id": "4070e122-eda3-4dfd-968c-72fa6046e7a8", | 17 | "id": "4070e122-eda3-4dfd-968c-72fa6046e7a8", | ||
| 18 | "isopen": true, | 18 | "isopen": true, | ||
| 19 | "license_id": "other-open", | 19 | "license_id": "other-open", | ||
| 20 | "license_title": "Other (Open)", | 20 | "license_title": "Other (Open)", | ||
| 21 | "maintainer": "data@disl.edu", | 21 | "maintainer": "data@disl.edu", | ||
| 22 | "maintainer_email": "data@disl.edu", | 22 | "maintainer_email": "data@disl.edu", | ||
| 23 | "metadata_created": "2023-05-10T19:59:57.832797", | 23 | "metadata_created": "2023-05-10T19:59:57.832797", | ||
| n | 24 | "metadata_modified": "2023-05-10T21:00:40.952758", | n | 24 | "metadata_modified": "2023-05-10T21:00:54.784998", |
| 25 | "name": | 25 | "name": | ||
| 26 | ownscaled-and-bias-corrected-dataset-for-multiple-gcms-and-variables", | 26 | ownscaled-and-bias-corrected-dataset-for-multiple-gcms-and-variables", | ||
| 27 | "notes": "### Abstract\r\nUnderstanding the impact of climate | 27 | "notes": "### Abstract\r\nUnderstanding the impact of climate | ||
| 28 | variability and change is of great importance for developing | 28 | variability and change is of great importance for developing | ||
| 29 | adaptation \r\nand mitigation strategies. Coarse resolution data sets | 29 | adaptation \r\nand mitigation strategies. Coarse resolution data sets | ||
| 30 | such as simulations of general circulation models (GCMs) \r\nare | 30 | such as simulations of general circulation models (GCMs) \r\nare | ||
| 31 | important for reconstructing historical climate and predicting the | 31 | important for reconstructing historical climate and predicting the | ||
| 32 | future. However, scale discrepancy and \r\nbiases limit the coarse | 32 | future. However, scale discrepancy and \r\nbiases limit the coarse | ||
| 33 | resolution data sets from being directly used for impact assessments | 33 | resolution data sets from being directly used for impact assessments | ||
| 34 | and decision making. \r\nOne solution for bridging this gap is to | 34 | and decision making. \r\nOne solution for bridging this gap is to | ||
| 35 | downscale and bias correct coarse resolution data to the local | 35 | downscale and bias correct coarse resolution data to the local | ||
| 36 | scale.\r\n\r\n### Purpose\r\nWe bias corrected and downscaled 9 | 36 | scale.\r\n\r\n### Purpose\r\nWe bias corrected and downscaled 9 | ||
| 37 | climate variables for 5 popular GCMs from the latest CMIP6 \r\nwith a | 37 | climate variables for 5 popular GCMs from the latest CMIP6 \r\nwith a | ||
| 38 | widly used method, namely quantile delta mapping (QDM). \r\nThe | 38 | widly used method, namely quantile delta mapping (QDM). \r\nThe | ||
| 39 | dataset has spatial resolution of 0.25 degree and daily temporal | 39 | dataset has spatial resolution of 0.25 degree and daily temporal | ||
| 40 | scale. For each GCM, \r\ntwo emission levels are included(ssp126 as | 40 | scale. For each GCM, \r\ntwo emission levels are included(ssp126 as | ||
| 41 | low emission level and ssp585 as high emission level). \r\nThe names | 41 | low emission level and ssp585 as high emission level). \r\nThe names | ||
| 42 | of the 5 GCMs are EC-Earth3, MPI-ESM1-2-HR, MRI-ESM2-0, | 42 | of the 5 GCMs are EC-Earth3, MPI-ESM1-2-HR, MRI-ESM2-0, | ||
| 43 | IPSL-CM6A-LR,and GFDL-ESM4. \r\nThe 9 variables include daily total | 43 | IPSL-CM6A-LR,and GFDL-ESM4. \r\nThe 9 variables include daily total | ||
| 44 | precipitation (pr), daily maximum near-surface air | 44 | precipitation (pr), daily maximum near-surface air | ||
| 45 | temperature(tasmax), \r\ndaily minimum near-surface air temperature | 45 | temperature(tasmax), \r\ndaily minimum near-surface air temperature | ||
| 46 | (tasmin),eastward near-surface wind (uas),northward \r\nnear-surface | 46 | (tasmin),eastward near-surface wind (uas),northward \r\nnear-surface | ||
| 47 | wind (vas),near-surface relative humidity (hurs), surface downwelling | 47 | wind (vas),near-surface relative humidity (hurs), surface downwelling | ||
| 48 | shortwave radiation (rsds), \r\nsurface downwelling longwave radiation | 48 | shortwave radiation (rsds), \r\nsurface downwelling longwave radiation | ||
| 49 | (rlds) and sea level pressure (psl). The dataset will be used as | 49 | (rlds) and sea level pressure (psl). The dataset will be used as | ||
| 50 | forcings \r\nfor the watershed modeling and physical/biogeochemical | 50 | forcings \r\nfor the watershed modeling and physical/biogeochemical | ||
| 51 | modeling around the bay area to explore adaptation and \r\nmitigation | 51 | modeling around the bay area to explore adaptation and \r\nmitigation | ||
| 52 | strategies.\r\n\r\n**DOI: **\r\n\r\n### Suggested Citation\r\n\r\n### | 52 | strategies.\r\n\r\n**DOI: **\r\n\r\n### Suggested Citation\r\n\r\n### | ||
| 53 | Related Publication Citation", | 53 | Related Publication Citation", | ||
| 54 | "num_resources": 5, | 54 | "num_resources": 5, | ||
| 55 | "num_tags": 9, | 55 | "num_tags": 9, | ||
| 56 | "organization": { | 56 | "organization": { | ||
| 57 | "approval_status": "approved", | 57 | "approval_status": "approved", | ||
| 58 | "created": "2022-07-22T03:25:13.329710", | 58 | "created": "2022-07-22T03:25:13.329710", | ||
| 59 | "description": "The Dauphin Island Sea Lab's (DISL) mission is to | 59 | "description": "The Dauphin Island Sea Lab's (DISL) mission is to | ||
| 60 | become a center for transformative U.S. oceanic and coastal research | 60 | become a center for transformative U.S. oceanic and coastal research | ||
| 61 | and education.. Founded in 1971 by the State of Alabama Legislature to | 61 | and education.. Founded in 1971 by the State of Alabama Legislature to | ||
| 62 | maximize the marine sciences capabilities of several Alabama | 62 | maximize the marine sciences capabilities of several Alabama | ||
| 63 | institutions and minimize duplication. \r\n\r\nLocated on the eastern | 63 | institutions and minimize duplication. \r\n\r\nLocated on the eastern | ||
| 64 | tip of Dauphin Island, a barrier island in the northern Gulf of | 64 | tip of Dauphin Island, a barrier island in the northern Gulf of | ||
| 65 | Mexico, DISL is surrounded by Mobile Bay, the Mississippi Sound, and | 65 | Mexico, DISL is surrounded by Mobile Bay, the Mississippi Sound, and | ||
| 66 | the waters of the Gulf, making it a perfect location to conduct a wide | 66 | the waters of the Gulf, making it a perfect location to conduct a wide | ||
| 67 | range of marine science activity. \r\n\r\n[The University Programs | 67 | range of marine science activity. \r\n\r\n[The University Programs | ||
| 68 | (UP)](https://www.disl.edu/univ-prog/) serves the students of the | 68 | (UP)](https://www.disl.edu/univ-prog/) serves the students of the | ||
| 69 | Marine Environmental Sciences Consortium\u2019s (MESC) 22 public and | 69 | Marine Environmental Sciences Consortium\u2019s (MESC) 22 public and | ||
| 70 | private four-year colleges and universities through graduate and | 70 | private four-year colleges and universities through graduate and | ||
| 71 | undergraduate programs. Throughout the year, graduate students conduct | 71 | undergraduate programs. Throughout the year, graduate students conduct | ||
| 72 | research, and attend classes while completing their degree under the | 72 | research, and attend classes while completing their degree under the | ||
| 73 | mentorship of faculty and staff at the Dauphin Island Sea Lab. | 73 | mentorship of faculty and staff at the Dauphin Island Sea Lab. | ||
| 74 | \r\n\r\n[The Discovery Hall Programs (DHP)](https://www.disl.edu/dhp/) | 74 | \r\n\r\n[The Discovery Hall Programs (DHP)](https://www.disl.edu/dhp/) | ||
| 75 | oversees educational programs for K-12 field programs, | 75 | oversees educational programs for K-12 field programs, | ||
| 76 | teacher-training, and community outreach opportunities. \r\n[The | 76 | teacher-training, and community outreach opportunities. \r\n[The | ||
| 77 | Estuarium](https://www.disl.edu/aquarium/), our public aquarium | 77 | Estuarium](https://www.disl.edu/aquarium/), our public aquarium | ||
| 78 | located on the Dauphin Island Sea Lab campus, is a part of DHP's | 78 | located on the Dauphin Island Sea Lab campus, is a part of DHP's | ||
| 79 | educational outreach mission. The Estuarium focuses solely on the | 79 | educational outreach mission. The Estuarium focuses solely on the | ||
| 80 | Mobile-Tensaw Estuary System. The BayMobile allows DHP educators to | 80 | Mobile-Tensaw Estuary System. The BayMobile allows DHP educators to | ||
| 81 | bring marine science to students across Alabama in the classroom and | 81 | bring marine science to students across Alabama in the classroom and | ||
| 82 | at community events. \r\n\r\nResearch programs at the Dauphin Island | 82 | at community events. \r\n\r\nResearch programs at the Dauphin Island | ||
| 83 | Sea Lab range from biogeochemistry and oceanography to ecosystem | 83 | Sea Lab range from biogeochemistry and oceanography to ecosystem | ||
| 84 | ecology. While much of our research focuses on the near-shore and | 84 | ecology. While much of our research focuses on the near-shore and | ||
| 85 | estuarine processes of the northern Gulf of Mexico, field sites of our | 85 | estuarine processes of the northern Gulf of Mexico, field sites of our | ||
| 86 | internationally-renowned faculty also include the Arctic, Mexico, | 86 | internationally-renowned faculty also include the Arctic, Mexico, | ||
| 87 | Australia, and other countries.\r\n\r\nThe Dauphin Island Sea Lab also | 87 | Australia, and other countries.\r\n\r\nThe Dauphin Island Sea Lab also | ||
| 88 | offers state and local government, industry, and agency | 88 | offers state and local government, industry, and agency | ||
| 89 | decision-makers a range of coastal zone management services, including | 89 | decision-makers a range of coastal zone management services, including | ||
| 90 | access to the nationally acclaimed data management center. Armed with | 90 | access to the nationally acclaimed data management center. Armed with | ||
| 91 | data through the DISL data management center, entities can make | 91 | data through the DISL data management center, entities can make | ||
| 92 | well-informed decisions and sound policies while considering | 92 | well-informed decisions and sound policies while considering | ||
| 93 | environmental impact. Another key contributor to successful coastal | 93 | environmental impact. Another key contributor to successful coastal | ||
| 94 | zone management is the Mobile Bay National Estuary Program, which | 94 | zone management is the Mobile Bay National Estuary Program, which | ||
| 95 | falls within the services of DISL.\r\n\r\n", | 95 | falls within the services of DISL.\r\n\r\n", | ||
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| 97 | "image_url": | 97 | "image_url": | ||
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| 100 | "name": "dauphin-island-sea-lab", | 100 | "name": "dauphin-island-sea-lab", | ||
| 101 | "state": "active", | 101 | "state": "active", | ||
| 102 | "title": "Dauphin Island Sea Lab", | 102 | "title": "Dauphin Island Sea Lab", | ||
| 103 | "type": "organization" | 103 | "type": "organization" | ||
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| 110 | { | 110 | { | ||
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| 113 | "created": "2023-05-10T20:02:36.331262", | 113 | "created": "2023-05-10T20:02:36.331262", | ||
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| 116 | "description": "All the original GCM data without BC and | 116 | "description": "All the original GCM data without BC and | ||
| 117 | downscaling\r\n\r\n - CMIP6_GCMs/MPI-ESM1-2-HR # | 117 | downscaling\r\n\r\n - CMIP6_GCMs/MPI-ESM1-2-HR # | ||
| 118 | GCM MPI-ESM1-2-HR \r\n - CMIP6_GCMs/MPI-ESM1-2-HR/ssp126 # | 118 | GCM MPI-ESM1-2-HR \r\n - CMIP6_GCMs/MPI-ESM1-2-HR/ssp126 # | ||
| 119 | GCM MPI-ESM1-2-HR for the low emssion level ssp126(2015 to 2100)\r\n - | 119 | GCM MPI-ESM1-2-HR for the low emssion level ssp126(2015 to 2100)\r\n - | ||
| 120 | CMIP6_GCMs/MPI-ESM1-2-HR/ssp585 # GCM MPI-ESM1-2-HR for the | 120 | CMIP6_GCMs/MPI-ESM1-2-HR/ssp585 # GCM MPI-ESM1-2-HR for the | ||
| 121 | high emssion level ssp585(2015 to 2100)\r\n - | 121 | high emssion level ssp585(2015 to 2100)\r\n - | ||
| 122 | CMIP6_GCMs/MPI-ESM1-2-HR/historical # GCM MPI-ESM1-2-HR in the | 122 | CMIP6_GCMs/MPI-ESM1-2-HR/historical # GCM MPI-ESM1-2-HR in the | ||
| 123 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/EC-Earth3 | 123 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/EC-Earth3 | ||
| 124 | # GCM EC-Earth3 \r\n - CMIP6_GCMs/EC-Earth3/ssp126 # GCM | 124 | # GCM EC-Earth3 \r\n - CMIP6_GCMs/EC-Earth3/ssp126 # GCM | ||
| 125 | EC-Earth3 for the low emssion level ssp126(2015 to 2100)\r\n - | 125 | EC-Earth3 for the low emssion level ssp126(2015 to 2100)\r\n - | ||
| 126 | CMIP6_GCMs/EC-Earth3/ssp585 # GCM EC-Earth3 for the high | 126 | CMIP6_GCMs/EC-Earth3/ssp585 # GCM EC-Earth3 for the high | ||
| 127 | emssion level ssp585(2015 to 2100)\r\n - | 127 | emssion level ssp585(2015 to 2100)\r\n - | ||
| 128 | CMIP6_GCMs/EC-Earth3/historical # GCM EC-Earth3 in the | 128 | CMIP6_GCMs/EC-Earth3/historical # GCM EC-Earth3 in the | ||
| 129 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/MRI-ESM2-0 | 129 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/MRI-ESM2-0 | ||
| 130 | # GCM MRI-ESM2-0\r\n - CMIP6_GCMs/MRI-ESM2-0/ssp126 # GCM | 130 | # GCM MRI-ESM2-0\r\n - CMIP6_GCMs/MRI-ESM2-0/ssp126 # GCM | ||
| 131 | MRI-ESM2-0 for the low emssion level ssp126(2015 to 2100)\r\n - | 131 | MRI-ESM2-0 for the low emssion level ssp126(2015 to 2100)\r\n - | ||
| 132 | CMIP6_GCMs/MRI-ESM2-0/ssp585 # GCM MRI-ESM2-0 for the | 132 | CMIP6_GCMs/MRI-ESM2-0/ssp585 # GCM MRI-ESM2-0 for the | ||
| 133 | high emssion level ssp585(2015 to 2100)\r\n - | 133 | high emssion level ssp585(2015 to 2100)\r\n - | ||
| 134 | CMIP6_GCMs/MRI-ESM2-0/historical # GCM MRI-ESM2-0 in the | 134 | CMIP6_GCMs/MRI-ESM2-0/historical # GCM MRI-ESM2-0 in the | ||
| 135 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/IPSL-CM6A-LR | 135 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/IPSL-CM6A-LR | ||
| 136 | # GCM IPSL-CM6A-LR \r\n - | 136 | # GCM IPSL-CM6A-LR \r\n - | ||
| 137 | CMIP6_GCMs/IPSL-CM6A-LR/ssp126 # GCM IPSL-CM6A-LR for the | 137 | CMIP6_GCMs/IPSL-CM6A-LR/ssp126 # GCM IPSL-CM6A-LR for the | ||
| 138 | low emssion level ssp126(2015 to 2100)\r\n - | 138 | low emssion level ssp126(2015 to 2100)\r\n - | ||
| 139 | CMIP6_GCMs/IPSL-CM6A-LR/ssp585 # GCM IPSL-CM6A-LR for the | 139 | CMIP6_GCMs/IPSL-CM6A-LR/ssp585 # GCM IPSL-CM6A-LR for the | ||
| 140 | high emssion level ssp585(2015 to 2100)\r\n - | 140 | high emssion level ssp585(2015 to 2100)\r\n - | ||
| 141 | CMIP6_GCMs/IPSL-CM6A-LR/historical # GCM IPSL-CM6A-LR in the | 141 | CMIP6_GCMs/IPSL-CM6A-LR/historical # GCM IPSL-CM6A-LR in the | ||
| 142 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/GFDL-ESM4 | 142 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/GFDL-ESM4 | ||
| 143 | # GCM GFDL-ESM4 \r\n - CMIP6_GCMs/GFDL-ESM4/ssp126 | 143 | # GCM GFDL-ESM4 \r\n - CMIP6_GCMs/GFDL-ESM4/ssp126 | ||
| 144 | # GCM GFDL-ESM4 for the low emssion level ssp126(2015 to 2100) | 144 | # GCM GFDL-ESM4 for the low emssion level ssp126(2015 to 2100) | ||
| 145 | \r\n - CMIP6_GCMs/GFDL-ESM4/ssp585 # GCM GFDL-ESM4 for | 145 | \r\n - CMIP6_GCMs/GFDL-ESM4/ssp585 # GCM GFDL-ESM4 for | ||
| 146 | the high emssion level ssp126(2015 to 2100)\r\n - | 146 | the high emssion level ssp126(2015 to 2100)\r\n - | ||
| 147 | CMIP6_GCMs/GFDL-ESM4/historical # GCM GFDL-ESM4 in the | 147 | CMIP6_GCMs/GFDL-ESM4/historical # GCM GFDL-ESM4 in the | ||
| 148 | historical period (1979 to 2014)\r\n", | 148 | historical period (1979 to 2014)\r\n", | ||
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| 187 | ted-dataset-for-multiple-gcms-and-variables/ERA5-single-daily.tar.gz", | 187 | ted-dataset-for-multiple-gcms-and-variables/ERA5-single-daily.tar.gz", | ||
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| 196 | "description": " - ERA5-single-hourly # Hourly ERA5 data | 196 | "description": " - ERA5-single-hourly # Hourly ERA5 data | ||
| 197 | directly downloaded from ECMWF website\r\n - ERA5-single-hourly/hurs # | 197 | directly downloaded from ECMWF website\r\n - ERA5-single-hourly/hurs # | ||
| 198 | Hourly ERA5 data for near-surface relative humidity (hurs)\r\n - | 198 | Hourly ERA5 data for near-surface relative humidity (hurs)\r\n - | ||
| 199 | ERA5-single-hourly/psl # Hourly ERA5 data for sea level pressure | 199 | ERA5-single-hourly/psl # Hourly ERA5 data for sea level pressure | ||
| 200 | (psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 data for surface | 200 | (psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 data for surface | ||
| 201 | downwelling longwave radiation (rlds)\r\n - ERA5-single-hourly/rsds # | 201 | downwelling longwave radiation (rlds)\r\n - ERA5-single-hourly/rsds # | ||
| 202 | Hourly ERA5 data for surface downwelling shortwave radiation | 202 | Hourly ERA5 data for surface downwelling shortwave radiation | ||
| 203 | (rsds)\r\n - ERA5-single-hourly/uas # Hourly ERA5 data for eastward | 203 | (rsds)\r\n - ERA5-single-hourly/uas # Hourly ERA5 data for eastward | ||
| 204 | near-surface wind (uas)\r\n - ERA5-single-hourly/vas # Hourly ERA5 | 204 | near-surface wind (uas)\r\n - ERA5-single-hourly/vas # Hourly ERA5 | ||
| 205 | data for northward near-surface wind (vas)\r\n - | 205 | data for northward near-surface wind (vas)\r\n - | ||
| 206 | ERA5-single-hourly/d2m # Hourly ERA5 data for 2m dew temperature\r\n | 206 | ERA5-single-hourly/d2m # Hourly ERA5 data for 2m dew temperature\r\n | ||
| 207 | - ERA5-single-hourly/pr # Hourly ERA5 data for total | 207 | - ERA5-single-hourly/pr # Hourly ERA5 data for total | ||
| 208 | precipitation\r\n - ERA5-single-hourly/t2m # Hourly ERA5 data for 2m | 208 | precipitation\r\n - ERA5-single-hourly/t2m # Hourly ERA5 data for 2m | ||
| 209 | temperature\r\n", | 209 | temperature\r\n", | ||
| 210 | "format": "TAR", | 210 | "format": "TAR", | ||
| 211 | "hash": "", | 211 | "hash": "", | ||
| 212 | "id": "db6fe384-124b-4da9-bb40-e3960e06a288", | 212 | "id": "db6fe384-124b-4da9-bb40-e3960e06a288", | ||
| 213 | "last_modified": null, | 213 | "last_modified": null, | ||
| 214 | "metadata_modified": "2023-05-10T20:08:21.270437", | 214 | "metadata_modified": "2023-05-10T20:08:21.270437", | ||
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| 217 | "name": "ERA5-single-hourly.tar.gz", | 217 | "name": "ERA5-single-hourly.tar.gz", | ||
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| 222 | "state": "active", | 222 | "state": "active", | ||
| 223 | "url": | 223 | "url": | ||
| 224 | ed-dataset-for-multiple-gcms-and-variables/ERA5-single-hourly.tar.gz", | 224 | ed-dataset-for-multiple-gcms-and-variables/ERA5-single-hourly.tar.gz", | ||
| 225 | "url_type": null | 225 | "url_type": null | ||
| 226 | }, | 226 | }, | ||
| 227 | { | 227 | { | ||
| 228 | "cache_last_updated": null, | 228 | "cache_last_updated": null, | ||
| 229 | "cache_url": null, | 229 | "cache_url": null, | ||
| 230 | "created": "2023-05-10T20:10:00.342335", | 230 | "created": "2023-05-10T20:10:00.342335", | ||
| 231 | "datastore_active": false, | 231 | "datastore_active": false, | ||
| 232 | "datastore_contains_all_records_of_source_file": false, | 232 | "datastore_contains_all_records_of_source_file": false, | ||
| 233 | "description": "All the BC/downscaled results through | 233 | "description": "All the BC/downscaled results through | ||
| 234 | QDM\r\n\r\n - QDM/IPSL-CM6A-LR # | 234 | QDM\r\n\r\n - QDM/IPSL-CM6A-LR # | ||
| 235 | BC/downscaled results for GCM IPSL-CM6A-LR | 235 | BC/downscaled results for GCM IPSL-CM6A-LR | ||
| 236 | \r\n - QDM/IPSL-CM6A-LR/ssp126 # BC/downscaled | 236 | \r\n - QDM/IPSL-CM6A-LR/ssp126 # BC/downscaled | ||
| 237 | results for GCM IPSL-CM6A-LR of ssp126(2015 to 2100) \r\n - | 237 | results for GCM IPSL-CM6A-LR of ssp126(2015 to 2100) \r\n - | ||
| 238 | QDM/IPSL-CM6A-LR/ssp585 # BC/downscaled results for | 238 | QDM/IPSL-CM6A-LR/ssp585 # BC/downscaled results for | ||
| 239 | GCM IPSL-CM6A-LR of ssp585(2015 to 2100)\r\n - QDM/EC-Earth3 | 239 | GCM IPSL-CM6A-LR of ssp585(2015 to 2100)\r\n - QDM/EC-Earth3 | ||
| 240 | # BC/downscaled results for GCM EC-Earth3 \r\n - QDM/EC-Earth3/ssp126 | 240 | # BC/downscaled results for GCM EC-Earth3 \r\n - QDM/EC-Earth3/ssp126 | ||
| 241 | # BC/downscaled results for GCM EC-Earth3 of ssp126(2015 to 2100) | 241 | # BC/downscaled results for GCM EC-Earth3 of ssp126(2015 to 2100) | ||
| 242 | \r\n - QDM/EC-Earth3/ssp585 # BC/downscaled | 242 | \r\n - QDM/EC-Earth3/ssp585 # BC/downscaled | ||
| 243 | results for GCM EC-Earth3 of ssp585(2015 to 2100) \r\n - | 243 | results for GCM EC-Earth3 of ssp585(2015 to 2100) \r\n - | ||
| 244 | QDM/MPI-ESM1-2-HR # BC/downscaled results for | 244 | QDM/MPI-ESM1-2-HR # BC/downscaled results for | ||
| 245 | GCM MPI-ESM1-2-HR \r\n - QDM/MPI-ESM1-2-HR/ssp126 # | 245 | GCM MPI-ESM1-2-HR \r\n - QDM/MPI-ESM1-2-HR/ssp126 # | ||
| 246 | BC/downscaled results for GCM MPI-ESM1-2-HR of ssp126(2015 to | 246 | BC/downscaled results for GCM MPI-ESM1-2-HR of ssp126(2015 to | ||
| 247 | 2100)\r\n - QDM/MPI-ESM1-2-HR/ssp585 # BC/downscaled | 247 | 2100)\r\n - QDM/MPI-ESM1-2-HR/ssp585 # BC/downscaled | ||
| 248 | results for GCM MPI-ESM1-2-HR of ssp585(2015 to 2100)\r\n - | 248 | results for GCM MPI-ESM1-2-HR of ssp585(2015 to 2100)\r\n - | ||
| 249 | QDM/MRI-ESM2-0 # BC/downscaled results for | 249 | QDM/MRI-ESM2-0 # BC/downscaled results for | ||
| 250 | GCM MRI-ESM2-0 \r\n - QDM/MRI-ESM2-0/ssp126 # | 250 | GCM MRI-ESM2-0 \r\n - QDM/MRI-ESM2-0/ssp126 # | ||
| 251 | BC/downscaled results for GCM MRI-ESM2-0 of ssp126(2015 to 2100)\r\n - | 251 | BC/downscaled results for GCM MRI-ESM2-0 of ssp126(2015 to 2100)\r\n - | ||
| 252 | QDM/MRI-ESM2-0/ssp585 # BC/downscaled results for | 252 | QDM/MRI-ESM2-0/ssp585 # BC/downscaled results for | ||
| 253 | GCM MRI-ESM2-0 of ssp585(2015 to 2100)\r\n - QDM/GFDL-ESM4 | 253 | GCM MRI-ESM2-0 of ssp585(2015 to 2100)\r\n - QDM/GFDL-ESM4 | ||
| 254 | # BC/downscaled results for GCM GFDL-ESM4 \r\n - QDM/GFDL-ESM4/ssp126 | 254 | # BC/downscaled results for GCM GFDL-ESM4 \r\n - QDM/GFDL-ESM4/ssp126 | ||
| 255 | # BC/downscaled results for GCM GFDL-ESM4 of ssp126(2015 to 2100)\r\n | 255 | # BC/downscaled results for GCM GFDL-ESM4 of ssp126(2015 to 2100)\r\n | ||
| 256 | - QDM/GFDL-ESM4/ssp585. # BC/downscaled results | 256 | - QDM/GFDL-ESM4/ssp585. # BC/downscaled results | ||
| 257 | for GCM GFDL-ESM4 of ssp585(2015 to 2100)\r\n", | 257 | for GCM GFDL-ESM4 of ssp585(2015 to 2100)\r\n", | ||
| 258 | "format": "TAR", | 258 | "format": "TAR", | ||
| 259 | "hash": "", | 259 | "hash": "", | ||
| 260 | "id": "c428a9a1-141c-4949-9452-e676e3b43fa6", | 260 | "id": "c428a9a1-141c-4949-9452-e676e3b43fa6", | ||
| 261 | "last_modified": null, | 261 | "last_modified": null, | ||
| 262 | "metadata_modified": "2023-05-10T20:49:44.987468", | 262 | "metadata_modified": "2023-05-10T20:49:44.987468", | ||
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| 264 | "mimetype_inner": null, | 264 | "mimetype_inner": null, | ||
| 265 | "name": "QDM.tar.gz", | 265 | "name": "QDM.tar.gz", | ||
| 266 | "package_id": "4070e122-eda3-4dfd-968c-72fa6046e7a8", | 266 | "package_id": "4070e122-eda3-4dfd-968c-72fa6046e7a8", | ||
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| 270 | "state": "active", | 270 | "state": "active", | ||
| 271 | "url": | 271 | "url": | ||
| 272 | nd-bias-corrected-dataset-for-multiple-gcms-and-variables/QDM.tar.gz", | 272 | nd-bias-corrected-dataset-for-multiple-gcms-and-variables/QDM.tar.gz", | ||
| 273 | "url_type": null | 273 | "url_type": null | ||
| 274 | }, | 274 | }, | ||
| 275 | { | 275 | { | ||
| 276 | "cache_last_updated": null, | 276 | "cache_last_updated": null, | ||
| 277 | "cache_url": null, | 277 | "cache_url": null, | ||
| 278 | "created": "2023-05-10T21:00:12.447018", | 278 | "created": "2023-05-10T21:00:12.447018", | ||
| 279 | "datastore_active": false, | 279 | "datastore_active": false, | ||
| 280 | "datastore_contains_all_records_of_source_file": false, | 280 | "datastore_contains_all_records_of_source_file": false, | ||
| 281 | "description": "Jupyter notebook with extra information on the | 281 | "description": "Jupyter notebook with extra information on the | ||
| 282 | dataset.\r\nRetrieved from: | 282 | dataset.\r\nRetrieved from: | ||
| 283 | https://github.com/OyBcSt/Climate_data/blob/main/index.ipynb", | 283 | https://github.com/OyBcSt/Climate_data/blob/main/index.ipynb", | ||
| 284 | "format": "", | 284 | "format": "", | ||
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| 287 | "last_modified": null, | 287 | "last_modified": null, | ||
| t | 288 | "metadata_modified": "2023-05-10T21:00:40.957810", | t | 288 | "metadata_modified": "2023-05-10T21:00:54.792494", |
| 289 | "mimetype": null, | 289 | "mimetype": null, | ||
| 290 | "mimetype_inner": null, | 290 | "mimetype_inner": null, | ||
| 291 | "name": "index.ipynb", | 291 | "name": "index.ipynb", | ||
| 292 | "package_id": "4070e122-eda3-4dfd-968c-72fa6046e7a8", | 292 | "package_id": "4070e122-eda3-4dfd-968c-72fa6046e7a8", | ||
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| 296 | "state": "active", | 296 | "state": "active", | ||
| 297 | "url": | 297 | "url": | ||
| 298 | d-bias-corrected-dataset-for-multiple-gcms-and-variables/index.ipynb", | 298 | d-bias-corrected-dataset-for-multiple-gcms-and-variables/index.ipynb", | ||
| 299 | "url_type": "" | 299 | "url_type": "" | ||
| 300 | } | 300 | } | ||
| 301 | ], | 301 | ], | ||
| 302 | "state": "active", | 302 | "state": "active", | ||
| 303 | "tags": [ | 303 | "tags": [ | ||
| 304 | { | 304 | { | ||
| 305 | "display_name": "daily maximum near-surface air temperature", | 305 | "display_name": "daily maximum near-surface air temperature", | ||
| 306 | "id": "4e20a5f5-3150-40ac-91b2-f2db16af98fe", | 306 | "id": "4e20a5f5-3150-40ac-91b2-f2db16af98fe", | ||
| 307 | "name": "daily maximum near-surface air temperature", | 307 | "name": "daily maximum near-surface air temperature", | ||
| 308 | "state": "active", | 308 | "state": "active", | ||
| 309 | "vocabulary_id": null | 309 | "vocabulary_id": null | ||
| 310 | }, | 310 | }, | ||
| 311 | { | 311 | { | ||
| 312 | "display_name": "daily minimum near-surface air temperature", | 312 | "display_name": "daily minimum near-surface air temperature", | ||
| 313 | "id": "c868053d-8971-4a12-a91e-6d9705f48297", | 313 | "id": "c868053d-8971-4a12-a91e-6d9705f48297", | ||
| 314 | "name": "daily minimum near-surface air temperature", | 314 | "name": "daily minimum near-surface air temperature", | ||
| 315 | "state": "active", | 315 | "state": "active", | ||
| 316 | "vocabulary_id": null | 316 | "vocabulary_id": null | ||
| 317 | }, | 317 | }, | ||
| 318 | { | 318 | { | ||
| 319 | "display_name": "daily total precipitation", | 319 | "display_name": "daily total precipitation", | ||
| 320 | "id": "4bbcd693-85e1-4434-9322-969dab47085a", | 320 | "id": "4bbcd693-85e1-4434-9322-969dab47085a", | ||
| 321 | "name": "daily total precipitation", | 321 | "name": "daily total precipitation", | ||
| 322 | "state": "active", | 322 | "state": "active", | ||
| 323 | "vocabulary_id": null | 323 | "vocabulary_id": null | ||
| 324 | }, | 324 | }, | ||
| 325 | { | 325 | { | ||
| 326 | "display_name": "eastward near-surface wind", | 326 | "display_name": "eastward near-surface wind", | ||
| 327 | "id": "12a798a4-0f36-474d-94e6-16a9c03fc906", | 327 | "id": "12a798a4-0f36-474d-94e6-16a9c03fc906", | ||
| 328 | "name": "eastward near-surface wind", | 328 | "name": "eastward near-surface wind", | ||
| 329 | "state": "active", | 329 | "state": "active", | ||
| 330 | "vocabulary_id": null | 330 | "vocabulary_id": null | ||
| 331 | }, | 331 | }, | ||
| 332 | { | 332 | { | ||
| 333 | "display_name": "near-surface relative humidity", | 333 | "display_name": "near-surface relative humidity", | ||
| 334 | "id": "52c808b1-40aa-4cdf-8fb1-375051eb0b9e", | 334 | "id": "52c808b1-40aa-4cdf-8fb1-375051eb0b9e", | ||
| 335 | "name": "near-surface relative humidity", | 335 | "name": "near-surface relative humidity", | ||
| 336 | "state": "active", | 336 | "state": "active", | ||
| 337 | "vocabulary_id": null | 337 | "vocabulary_id": null | ||
| 338 | }, | 338 | }, | ||
| 339 | { | 339 | { | ||
| 340 | "display_name": "northward near-surface wind", | 340 | "display_name": "northward near-surface wind", | ||
| 341 | "id": "2cc3dd62-31fb-4353-815a-d7e0c994a0e7", | 341 | "id": "2cc3dd62-31fb-4353-815a-d7e0c994a0e7", | ||
| 342 | "name": "northward near-surface wind", | 342 | "name": "northward near-surface wind", | ||
| 343 | "state": "active", | 343 | "state": "active", | ||
| 344 | "vocabulary_id": null | 344 | "vocabulary_id": null | ||
| 345 | }, | 345 | }, | ||
| 346 | { | 346 | { | ||
| 347 | "display_name": "sea level pressure", | 347 | "display_name": "sea level pressure", | ||
| 348 | "id": "94ce9862-eac9-4d3e-839a-e90134c3fbf4", | 348 | "id": "94ce9862-eac9-4d3e-839a-e90134c3fbf4", | ||
| 349 | "name": "sea level pressure", | 349 | "name": "sea level pressure", | ||
| 350 | "state": "active", | 350 | "state": "active", | ||
| 351 | "vocabulary_id": null | 351 | "vocabulary_id": null | ||
| 352 | }, | 352 | }, | ||
| 353 | { | 353 | { | ||
| 354 | "display_name": "surface downwelling longwave radiation", | 354 | "display_name": "surface downwelling longwave radiation", | ||
| 355 | "id": "22bbd1c2-ef28-49b3-b445-1c384be06550", | 355 | "id": "22bbd1c2-ef28-49b3-b445-1c384be06550", | ||
| 356 | "name": "surface downwelling longwave radiation", | 356 | "name": "surface downwelling longwave radiation", | ||
| 357 | "state": "active", | 357 | "state": "active", | ||
| 358 | "vocabulary_id": null | 358 | "vocabulary_id": null | ||
| 359 | }, | 359 | }, | ||
| 360 | { | 360 | { | ||
| 361 | "display_name": "surface downwelling shortwave radiation", | 361 | "display_name": "surface downwelling shortwave radiation", | ||
| 362 | "id": "54129a45-0d9d-4b61-b88f-2debe2ca9377", | 362 | "id": "54129a45-0d9d-4b61-b88f-2debe2ca9377", | ||
| 363 | "name": "surface downwelling shortwave radiation", | 363 | "name": "surface downwelling shortwave radiation", | ||
| 364 | "state": "active", | 364 | "state": "active", | ||
| 365 | "vocabulary_id": null | 365 | "vocabulary_id": null | ||
| 366 | } | 366 | } | ||
| 367 | ], | 367 | ], | ||
| 368 | "title": "Downscaled and bias corrected dataset for multiple GCMs | 368 | "title": "Downscaled and bias corrected dataset for multiple GCMs | ||
| 369 | and variables", | 369 | and variables", | ||
| 370 | "type": "dataset", | 370 | "type": "dataset", | ||
| 371 | "url": "", | 371 | "url": "", | ||
| 372 | "version": "" | 372 | "version": "" | ||
| 373 | } | 373 | } |