Changes
On May 11, 2023 at 5:38:49 PM UTC,
patdavid:
| 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": "2023-05-11T17:37:46.892148", | n | 24 | "metadata_modified": "2023-05-11T17:38:48.948315", |
| 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: | 52 | strategies.\r\n\r\n**DOI: | ||
| 53 | [10.57778/wqdc-q670](https://doi.org/10.57778/wqdc-q670)**\r\n\r\n### | 53 | [10.57778/wqdc-q670](https://doi.org/10.57778/wqdc-q670)**\r\n\r\n### | ||
| 54 | Suggested Citation\r\nWang, F., & Tian, D. (2023). Downscaled and bias | 54 | Suggested Citation\r\nWang, F., & Tian, D. (2023). Downscaled and bias | ||
| 55 | corrected dataset for multiple GCMs and variables (Version 1.0) [Data | 55 | corrected dataset for multiple GCMs and variables (Version 1.0) [Data | ||
| 56 | set]. Dauphin Island Sea Lab. | 56 | set]. Dauphin Island Sea Lab. | ||
| 57 | https://doi.org/10.57778/WQDC-Q670\r\n\r\n### Related Publication | 57 | https://doi.org/10.57778/WQDC-Q670\r\n\r\n### Related Publication | ||
| 58 | Citation", | 58 | Citation", | ||
| n | 59 | "num_resources": 5, | n | 59 | "num_resources": 6, |
| 60 | "num_tags": 9, | 60 | "num_tags": 9, | ||
| 61 | "organization": { | 61 | "organization": { | ||
| 62 | "approval_status": "approved", | 62 | "approval_status": "approved", | ||
| 63 | "created": "2022-07-22T03:25:13.329710", | 63 | "created": "2022-07-22T03:25:13.329710", | ||
| 64 | "description": "The Dauphin Island Sea Lab's (DISL) mission is to | 64 | "description": "The Dauphin Island Sea Lab's (DISL) mission is to | ||
| 65 | become a center for transformative U.S. oceanic and coastal research | 65 | become a center for transformative U.S. oceanic and coastal research | ||
| 66 | and education.. Founded in 1971 by the State of Alabama Legislature to | 66 | and education.. Founded in 1971 by the State of Alabama Legislature to | ||
| 67 | maximize the marine sciences capabilities of several Alabama | 67 | maximize the marine sciences capabilities of several Alabama | ||
| 68 | institutions and minimize duplication. \r\n\r\nLocated on the eastern | 68 | institutions and minimize duplication. \r\n\r\nLocated on the eastern | ||
| 69 | tip of Dauphin Island, a barrier island in the northern Gulf of | 69 | tip of Dauphin Island, a barrier island in the northern Gulf of | ||
| 70 | Mexico, DISL is surrounded by Mobile Bay, the Mississippi Sound, and | 70 | Mexico, DISL is surrounded by Mobile Bay, the Mississippi Sound, and | ||
| 71 | the waters of the Gulf, making it a perfect location to conduct a wide | 71 | the waters of the Gulf, making it a perfect location to conduct a wide | ||
| 72 | range of marine science activity. \r\n\r\n[The University Programs | 72 | range of marine science activity. \r\n\r\n[The University Programs | ||
| 73 | (UP)](https://www.disl.edu/univ-prog/) serves the students of the | 73 | (UP)](https://www.disl.edu/univ-prog/) serves the students of the | ||
| 74 | Marine Environmental Sciences Consortium\u2019s (MESC) 22 public and | 74 | Marine Environmental Sciences Consortium\u2019s (MESC) 22 public and | ||
| 75 | private four-year colleges and universities through graduate and | 75 | private four-year colleges and universities through graduate and | ||
| 76 | undergraduate programs. Throughout the year, graduate students conduct | 76 | undergraduate programs. Throughout the year, graduate students conduct | ||
| 77 | research, and attend classes while completing their degree under the | 77 | research, and attend classes while completing their degree under the | ||
| 78 | mentorship of faculty and staff at the Dauphin Island Sea Lab. | 78 | mentorship of faculty and staff at the Dauphin Island Sea Lab. | ||
| 79 | \r\n\r\n[The Discovery Hall Programs (DHP)](https://www.disl.edu/dhp/) | 79 | \r\n\r\n[The Discovery Hall Programs (DHP)](https://www.disl.edu/dhp/) | ||
| 80 | oversees educational programs for K-12 field programs, | 80 | oversees educational programs for K-12 field programs, | ||
| 81 | teacher-training, and community outreach opportunities. \r\n[The | 81 | teacher-training, and community outreach opportunities. \r\n[The | ||
| 82 | Estuarium](https://www.disl.edu/aquarium/), our public aquarium | 82 | Estuarium](https://www.disl.edu/aquarium/), our public aquarium | ||
| 83 | located on the Dauphin Island Sea Lab campus, is a part of DHP's | 83 | located on the Dauphin Island Sea Lab campus, is a part of DHP's | ||
| 84 | educational outreach mission. The Estuarium focuses solely on the | 84 | educational outreach mission. The Estuarium focuses solely on the | ||
| 85 | Mobile-Tensaw Estuary System. The BayMobile allows DHP educators to | 85 | Mobile-Tensaw Estuary System. The BayMobile allows DHP educators to | ||
| 86 | bring marine science to students across Alabama in the classroom and | 86 | bring marine science to students across Alabama in the classroom and | ||
| 87 | at community events. \r\n\r\nResearch programs at the Dauphin Island | 87 | at community events. \r\n\r\nResearch programs at the Dauphin Island | ||
| 88 | Sea Lab range from biogeochemistry and oceanography to ecosystem | 88 | Sea Lab range from biogeochemistry and oceanography to ecosystem | ||
| 89 | ecology. While much of our research focuses on the near-shore and | 89 | ecology. While much of our research focuses on the near-shore and | ||
| 90 | estuarine processes of the northern Gulf of Mexico, field sites of our | 90 | estuarine processes of the northern Gulf of Mexico, field sites of our | ||
| 91 | internationally-renowned faculty also include the Arctic, Mexico, | 91 | internationally-renowned faculty also include the Arctic, Mexico, | ||
| 92 | Australia, and other countries.\r\n\r\nThe Dauphin Island Sea Lab also | 92 | Australia, and other countries.\r\n\r\nThe Dauphin Island Sea Lab also | ||
| 93 | offers state and local government, industry, and agency | 93 | offers state and local government, industry, and agency | ||
| 94 | decision-makers a range of coastal zone management services, including | 94 | decision-makers a range of coastal zone management services, including | ||
| 95 | access to the nationally acclaimed data management center. Armed with | 95 | access to the nationally acclaimed data management center. Armed with | ||
| 96 | data through the DISL data management center, entities can make | 96 | data through the DISL data management center, entities can make | ||
| 97 | well-informed decisions and sound policies while considering | 97 | well-informed decisions and sound policies while considering | ||
| 98 | environmental impact. Another key contributor to successful coastal | 98 | environmental impact. Another key contributor to successful coastal | ||
| 99 | zone management is the Mobile Bay National Estuary Program, which | 99 | zone management is the Mobile Bay National Estuary Program, which | ||
| 100 | falls within the services of DISL.\r\n\r\n", | 100 | falls within the services of DISL.\r\n\r\n", | ||
| 101 | "id": "cb136e67-d862-4b9e-af1c-e5c564cee512", | 101 | "id": "cb136e67-d862-4b9e-af1c-e5c564cee512", | ||
| 102 | "image_url": | 102 | "image_url": | ||
| 103 | "2022-07-29-144848.512466DISL-centered-logo-w-Tag-CMYK.svg", | 103 | "2022-07-29-144848.512466DISL-centered-logo-w-Tag-CMYK.svg", | ||
| 104 | "is_organization": true, | 104 | "is_organization": true, | ||
| 105 | "name": "dauphin-island-sea-lab", | 105 | "name": "dauphin-island-sea-lab", | ||
| 106 | "state": "active", | 106 | "state": "active", | ||
| 107 | "title": "Dauphin Island Sea Lab", | 107 | "title": "Dauphin Island Sea Lab", | ||
| 108 | "type": "organization" | 108 | "type": "organization" | ||
| 109 | }, | 109 | }, | ||
| 110 | "owner_org": "cb136e67-d862-4b9e-af1c-e5c564cee512", | 110 | "owner_org": "cb136e67-d862-4b9e-af1c-e5c564cee512", | ||
| 111 | "private": false, | 111 | "private": false, | ||
| 112 | "relationships_as_object": [], | 112 | "relationships_as_object": [], | ||
| 113 | "relationships_as_subject": [], | 113 | "relationships_as_subject": [], | ||
| 114 | "resources": [ | 114 | "resources": [ | ||
| 115 | { | 115 | { | ||
| 116 | "cache_last_updated": null, | 116 | "cache_last_updated": null, | ||
| 117 | "cache_url": null, | 117 | "cache_url": null, | ||
| 118 | "created": "2023-05-10T20:02:36.331262", | 118 | "created": "2023-05-10T20:02:36.331262", | ||
| 119 | "datastore_active": false, | 119 | "datastore_active": false, | ||
| 120 | "datastore_contains_all_records_of_source_file": false, | 120 | "datastore_contains_all_records_of_source_file": false, | ||
| 121 | "description": "**Filesize: 7.6GB**\r\n\r\nAll the original GCM | 121 | "description": "**Filesize: 7.6GB**\r\n\r\nAll the original GCM | ||
| 122 | data without BC and downscaling\r\n\r\n - CMIP6_GCMs/MPI-ESM1-2-HR | 122 | data without BC and downscaling\r\n\r\n - CMIP6_GCMs/MPI-ESM1-2-HR | ||
| 123 | # GCM MPI-ESM1-2-HR \r\n - CMIP6_GCMs/MPI-ESM1-2-HR/ssp126 | 123 | # GCM MPI-ESM1-2-HR \r\n - CMIP6_GCMs/MPI-ESM1-2-HR/ssp126 | ||
| 124 | # GCM MPI-ESM1-2-HR for the low emssion level ssp126(2015 to 2100)\r\n | 124 | # GCM MPI-ESM1-2-HR for the low emssion level ssp126(2015 to 2100)\r\n | ||
| 125 | - CMIP6_GCMs/MPI-ESM1-2-HR/ssp585 # GCM MPI-ESM1-2-HR for | 125 | - CMIP6_GCMs/MPI-ESM1-2-HR/ssp585 # GCM MPI-ESM1-2-HR for | ||
| 126 | the high emssion level ssp585(2015 to 2100)\r\n - | 126 | the high emssion level ssp585(2015 to 2100)\r\n - | ||
| 127 | CMIP6_GCMs/MPI-ESM1-2-HR/historical # GCM MPI-ESM1-2-HR in the | 127 | CMIP6_GCMs/MPI-ESM1-2-HR/historical # GCM MPI-ESM1-2-HR in the | ||
| 128 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/EC-Earth3 | 128 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/EC-Earth3 | ||
| 129 | # GCM EC-Earth3 \r\n - CMIP6_GCMs/EC-Earth3/ssp126 # GCM | 129 | # GCM EC-Earth3 \r\n - CMIP6_GCMs/EC-Earth3/ssp126 # GCM | ||
| 130 | EC-Earth3 for the low emssion level ssp126(2015 to 2100)\r\n - | 130 | EC-Earth3 for the low emssion level ssp126(2015 to 2100)\r\n - | ||
| 131 | CMIP6_GCMs/EC-Earth3/ssp585 # GCM EC-Earth3 for the high | 131 | CMIP6_GCMs/EC-Earth3/ssp585 # GCM EC-Earth3 for the high | ||
| 132 | emssion level ssp585(2015 to 2100)\r\n - | 132 | emssion level ssp585(2015 to 2100)\r\n - | ||
| 133 | CMIP6_GCMs/EC-Earth3/historical # GCM EC-Earth3 in the | 133 | CMIP6_GCMs/EC-Earth3/historical # GCM EC-Earth3 in the | ||
| 134 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/MRI-ESM2-0 | 134 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/MRI-ESM2-0 | ||
| 135 | # GCM MRI-ESM2-0\r\n - CMIP6_GCMs/MRI-ESM2-0/ssp126 # GCM | 135 | # GCM MRI-ESM2-0\r\n - CMIP6_GCMs/MRI-ESM2-0/ssp126 # GCM | ||
| 136 | MRI-ESM2-0 for the low emssion level ssp126(2015 to 2100)\r\n - | 136 | MRI-ESM2-0 for the low emssion level ssp126(2015 to 2100)\r\n - | ||
| 137 | CMIP6_GCMs/MRI-ESM2-0/ssp585 # GCM MRI-ESM2-0 for the | 137 | CMIP6_GCMs/MRI-ESM2-0/ssp585 # GCM MRI-ESM2-0 for the | ||
| 138 | high emssion level ssp585(2015 to 2100)\r\n - | 138 | high emssion level ssp585(2015 to 2100)\r\n - | ||
| 139 | CMIP6_GCMs/MRI-ESM2-0/historical # GCM MRI-ESM2-0 in the | 139 | CMIP6_GCMs/MRI-ESM2-0/historical # GCM MRI-ESM2-0 in the | ||
| 140 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/IPSL-CM6A-LR | 140 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/IPSL-CM6A-LR | ||
| 141 | # GCM IPSL-CM6A-LR \r\n - | 141 | # GCM IPSL-CM6A-LR \r\n - | ||
| 142 | CMIP6_GCMs/IPSL-CM6A-LR/ssp126 # GCM IPSL-CM6A-LR for the | 142 | CMIP6_GCMs/IPSL-CM6A-LR/ssp126 # GCM IPSL-CM6A-LR for the | ||
| 143 | low emssion level ssp126(2015 to 2100)\r\n - | 143 | low emssion level ssp126(2015 to 2100)\r\n - | ||
| 144 | CMIP6_GCMs/IPSL-CM6A-LR/ssp585 # GCM IPSL-CM6A-LR for the | 144 | CMIP6_GCMs/IPSL-CM6A-LR/ssp585 # GCM IPSL-CM6A-LR for the | ||
| 145 | high emssion level ssp585(2015 to 2100)\r\n - | 145 | high emssion level ssp585(2015 to 2100)\r\n - | ||
| 146 | CMIP6_GCMs/IPSL-CM6A-LR/historical # GCM IPSL-CM6A-LR in the | 146 | CMIP6_GCMs/IPSL-CM6A-LR/historical # GCM IPSL-CM6A-LR in the | ||
| 147 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/GFDL-ESM4 | 147 | historical period (1979 to 2014)\r\n - CMIP6_GCMs/GFDL-ESM4 | ||
| 148 | # GCM GFDL-ESM4 \r\n - CMIP6_GCMs/GFDL-ESM4/ssp126 | 148 | # GCM GFDL-ESM4 \r\n - CMIP6_GCMs/GFDL-ESM4/ssp126 | ||
| 149 | # GCM GFDL-ESM4 for the low emssion level ssp126(2015 to 2100) | 149 | # GCM GFDL-ESM4 for the low emssion level ssp126(2015 to 2100) | ||
| 150 | \r\n - CMIP6_GCMs/GFDL-ESM4/ssp585 # GCM GFDL-ESM4 for | 150 | \r\n - CMIP6_GCMs/GFDL-ESM4/ssp585 # GCM GFDL-ESM4 for | ||
| 151 | the high emssion level ssp126(2015 to 2100)\r\n - | 151 | the high emssion level ssp126(2015 to 2100)\r\n - | ||
| 152 | CMIP6_GCMs/GFDL-ESM4/historical # GCM GFDL-ESM4 in the | 152 | CMIP6_GCMs/GFDL-ESM4/historical # GCM GFDL-ESM4 in the | ||
| 153 | historical period (1979 to 2014)\r\n", | 153 | historical period (1979 to 2014)\r\n", | ||
| 154 | "format": "TAR", | 154 | "format": "TAR", | ||
| 155 | "hash": "", | 155 | "hash": "", | ||
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| 168 | -corrected-dataset-for-multiple-gcms-and-variables/CMIP6_GCMs.tar.gz", | 168 | -corrected-dataset-for-multiple-gcms-and-variables/CMIP6_GCMs.tar.gz", | ||
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| 174 | "created": "2023-05-10T20:03:26.632543", | 174 | "created": "2023-05-10T20:03:26.632543", | ||
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| 177 | "description": "**Filesize: 4.8GB**\r\n\r\nDaily ERA5 data for | 177 | "description": "**Filesize: 4.8GB**\r\n\r\nDaily ERA5 data for | ||
| 178 | the 9 variables", | 178 | the 9 variables", | ||
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| 199 | "created": "2023-05-10T20:04:56.380015", | 199 | "created": "2023-05-10T20:04:56.380015", | ||
| 200 | "datastore_active": false, | 200 | "datastore_active": false, | ||
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| 202 | "description": "**Filesize: 34GB**\r\n\r\n - ERA5-single-hourly | 202 | "description": "**Filesize: 34GB**\r\n\r\n - ERA5-single-hourly | ||
| 203 | # Hourly ERA5 data directly downloaded from ECMWF website\r\n - | 203 | # Hourly ERA5 data directly downloaded from ECMWF website\r\n - | ||
| 204 | ERA5-single-hourly/hurs # Hourly ERA5 data for near-surface relative | 204 | ERA5-single-hourly/hurs # Hourly ERA5 data for near-surface relative | ||
| 205 | humidity (hurs)\r\n - ERA5-single-hourly/psl # Hourly ERA5 data for | 205 | humidity (hurs)\r\n - ERA5-single-hourly/psl # Hourly ERA5 data for | ||
| 206 | sea level pressure (psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 | 206 | sea level pressure (psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 | ||
| 207 | data for surface downwelling longwave radiation (rlds)\r\n - | 207 | data for surface downwelling longwave radiation (rlds)\r\n - | ||
| 208 | ERA5-single-hourly/rsds # Hourly ERA5 data for surface downwelling | 208 | ERA5-single-hourly/rsds # Hourly ERA5 data for surface downwelling | ||
| 209 | shortwave radiation (rsds)\r\n - ERA5-single-hourly/uas # Hourly ERA5 | 209 | shortwave radiation (rsds)\r\n - ERA5-single-hourly/uas # Hourly ERA5 | ||
| 210 | data for eastward near-surface wind (uas)\r\n - ERA5-single-hourly/vas | 210 | data for eastward near-surface wind (uas)\r\n - ERA5-single-hourly/vas | ||
| 211 | # Hourly ERA5 data for northward near-surface wind (vas)\r\n - | 211 | # Hourly ERA5 data for northward near-surface wind (vas)\r\n - | ||
| 212 | ERA5-single-hourly/d2m # Hourly ERA5 data for 2m dew temperature\r\n | 212 | ERA5-single-hourly/d2m # Hourly ERA5 data for 2m dew temperature\r\n | ||
| 213 | - ERA5-single-hourly/pr # Hourly ERA5 data for total | 213 | - ERA5-single-hourly/pr # Hourly ERA5 data for total | ||
| 214 | precipitation\r\n - ERA5-single-hourly/t2m # Hourly ERA5 data for 2m | 214 | precipitation\r\n - ERA5-single-hourly/t2m # Hourly ERA5 data for 2m | ||
| 215 | temperature\r\n", | 215 | temperature\r\n", | ||
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| 230 | ed-dataset-for-multiple-gcms-and-variables/ERA5-single-hourly.tar.gz", | 230 | ed-dataset-for-multiple-gcms-and-variables/ERA5-single-hourly.tar.gz", | ||
| 231 | "url_type": null | 231 | "url_type": null | ||
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| 233 | { | 233 | { | ||
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| 239 | "description": "**Filesize: 14GB**\r\n\r\nAll the BC/downscaled | 239 | "description": "**Filesize: 14GB**\r\n\r\nAll the BC/downscaled | ||
| 240 | results through QDM\r\n\r\n - QDM/IPSL-CM6A-LR | 240 | results through QDM\r\n\r\n - QDM/IPSL-CM6A-LR | ||
| 241 | # BC/downscaled results for GCM IPSL-CM6A-LR | 241 | # BC/downscaled results for GCM IPSL-CM6A-LR | ||
| 242 | \r\n - QDM/IPSL-CM6A-LR/ssp126 # BC/downscaled | 242 | \r\n - QDM/IPSL-CM6A-LR/ssp126 # BC/downscaled | ||
| 243 | results for GCM IPSL-CM6A-LR of ssp126(2015 to 2100) \r\n - | 243 | results for GCM IPSL-CM6A-LR of ssp126(2015 to 2100) \r\n - | ||
| 244 | QDM/IPSL-CM6A-LR/ssp585 # BC/downscaled results for | 244 | QDM/IPSL-CM6A-LR/ssp585 # BC/downscaled results for | ||
| 245 | GCM IPSL-CM6A-LR of ssp585(2015 to 2100)\r\n - QDM/EC-Earth3 | 245 | GCM IPSL-CM6A-LR of ssp585(2015 to 2100)\r\n - QDM/EC-Earth3 | ||
| 246 | # BC/downscaled results for GCM EC-Earth3 \r\n - QDM/EC-Earth3/ssp126 | 246 | # BC/downscaled results for GCM EC-Earth3 \r\n - QDM/EC-Earth3/ssp126 | ||
| 247 | # BC/downscaled results for GCM EC-Earth3 of ssp126(2015 to 2100) | 247 | # BC/downscaled results for GCM EC-Earth3 of ssp126(2015 to 2100) | ||
| 248 | \r\n - QDM/EC-Earth3/ssp585 # BC/downscaled | 248 | \r\n - QDM/EC-Earth3/ssp585 # BC/downscaled | ||
| 249 | results for GCM EC-Earth3 of ssp585(2015 to 2100) \r\n - | 249 | results for GCM EC-Earth3 of ssp585(2015 to 2100) \r\n - | ||
| 250 | QDM/MPI-ESM1-2-HR # BC/downscaled results for | 250 | QDM/MPI-ESM1-2-HR # BC/downscaled results for | ||
| 251 | GCM MPI-ESM1-2-HR \r\n - QDM/MPI-ESM1-2-HR/ssp126 # | 251 | GCM MPI-ESM1-2-HR \r\n - QDM/MPI-ESM1-2-HR/ssp126 # | ||
| 252 | BC/downscaled results for GCM MPI-ESM1-2-HR of ssp126(2015 to | 252 | BC/downscaled results for GCM MPI-ESM1-2-HR of ssp126(2015 to | ||
| 253 | 2100)\r\n - QDM/MPI-ESM1-2-HR/ssp585 # BC/downscaled | 253 | 2100)\r\n - QDM/MPI-ESM1-2-HR/ssp585 # BC/downscaled | ||
| 254 | results for GCM MPI-ESM1-2-HR of ssp585(2015 to 2100)\r\n - | 254 | results for GCM MPI-ESM1-2-HR of ssp585(2015 to 2100)\r\n - | ||
| 255 | QDM/MRI-ESM2-0 # BC/downscaled results for | 255 | QDM/MRI-ESM2-0 # BC/downscaled results for | ||
| 256 | GCM MRI-ESM2-0 \r\n - QDM/MRI-ESM2-0/ssp126 # | 256 | GCM MRI-ESM2-0 \r\n - QDM/MRI-ESM2-0/ssp126 # | ||
| 257 | BC/downscaled results for GCM MRI-ESM2-0 of ssp126(2015 to 2100)\r\n - | 257 | BC/downscaled results for GCM MRI-ESM2-0 of ssp126(2015 to 2100)\r\n - | ||
| 258 | QDM/MRI-ESM2-0/ssp585 # BC/downscaled results for | 258 | QDM/MRI-ESM2-0/ssp585 # BC/downscaled results for | ||
| 259 | GCM MRI-ESM2-0 of ssp585(2015 to 2100)\r\n - QDM/GFDL-ESM4 | 259 | GCM MRI-ESM2-0 of ssp585(2015 to 2100)\r\n - QDM/GFDL-ESM4 | ||
| 260 | # BC/downscaled results for GCM GFDL-ESM4 \r\n - QDM/GFDL-ESM4/ssp126 | 260 | # BC/downscaled results for GCM GFDL-ESM4 \r\n - QDM/GFDL-ESM4/ssp126 | ||
| 261 | # BC/downscaled results for GCM GFDL-ESM4 of ssp126(2015 to 2100)\r\n | 261 | # BC/downscaled results for GCM GFDL-ESM4 of ssp126(2015 to 2100)\r\n | ||
| 262 | - QDM/GFDL-ESM4/ssp585. # BC/downscaled results | 262 | - QDM/GFDL-ESM4/ssp585. # BC/downscaled results | ||
| 263 | for GCM GFDL-ESM4 of ssp585(2015 to 2100)\r\n", | 263 | for GCM GFDL-ESM4 of ssp585(2015 to 2100)\r\n", | ||
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| 278 | nd-bias-corrected-dataset-for-multiple-gcms-and-variables/QDM.tar.gz", | 278 | nd-bias-corrected-dataset-for-multiple-gcms-and-variables/QDM.tar.gz", | ||
| 279 | "url_type": null | 279 | "url_type": null | ||
| 280 | }, | 280 | }, | ||
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| 284 | "created": "2023-05-10T21:00:12.447018", | 284 | "created": "2023-05-10T21:00:12.447018", | ||
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| 287 | "description": "Jupyter notebook with extra information on the | 287 | "description": "Jupyter notebook with extra information on the | ||
| 288 | dataset.\r\nRetrieved from: | 288 | dataset.\r\nRetrieved from: | ||
| 289 | https://github.com/OyBcSt/Climate_data/blob/main/index.ipynb", | 289 | https://github.com/OyBcSt/Climate_data/blob/main/index.ipynb", | ||
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| 306 | } | 330 | } | ||
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| 310 | { | 334 | { | ||
| 311 | "display_name": "daily maximum near-surface air temperature", | 335 | "display_name": "daily maximum near-surface air temperature", | ||
| 312 | "id": "4e20a5f5-3150-40ac-91b2-f2db16af98fe", | 336 | "id": "4e20a5f5-3150-40ac-91b2-f2db16af98fe", | ||
| 313 | "name": "daily maximum near-surface air temperature", | 337 | "name": "daily maximum near-surface air temperature", | ||
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| 317 | { | 341 | { | ||
| 318 | "display_name": "daily minimum near-surface air temperature", | 342 | "display_name": "daily minimum near-surface air temperature", | ||
| 319 | "id": "c868053d-8971-4a12-a91e-6d9705f48297", | 343 | "id": "c868053d-8971-4a12-a91e-6d9705f48297", | ||
| 320 | "name": "daily minimum near-surface air temperature", | 344 | "name": "daily minimum near-surface air temperature", | ||
| 321 | "state": "active", | 345 | "state": "active", | ||
| 322 | "vocabulary_id": null | 346 | "vocabulary_id": null | ||
| 323 | }, | 347 | }, | ||
| 324 | { | 348 | { | ||
| 325 | "display_name": "daily total precipitation", | 349 | "display_name": "daily total precipitation", | ||
| 326 | "id": "4bbcd693-85e1-4434-9322-969dab47085a", | 350 | "id": "4bbcd693-85e1-4434-9322-969dab47085a", | ||
| 327 | "name": "daily total precipitation", | 351 | "name": "daily total precipitation", | ||
| 328 | "state": "active", | 352 | "state": "active", | ||
| 329 | "vocabulary_id": null | 353 | "vocabulary_id": null | ||
| 330 | }, | 354 | }, | ||
| 331 | { | 355 | { | ||
| 332 | "display_name": "eastward near-surface wind", | 356 | "display_name": "eastward near-surface wind", | ||
| 333 | "id": "12a798a4-0f36-474d-94e6-16a9c03fc906", | 357 | "id": "12a798a4-0f36-474d-94e6-16a9c03fc906", | ||
| 334 | "name": "eastward near-surface wind", | 358 | "name": "eastward near-surface wind", | ||
| 335 | "state": "active", | 359 | "state": "active", | ||
| 336 | "vocabulary_id": null | 360 | "vocabulary_id": null | ||
| 337 | }, | 361 | }, | ||
| 338 | { | 362 | { | ||
| 339 | "display_name": "near-surface relative humidity", | 363 | "display_name": "near-surface relative humidity", | ||
| 340 | "id": "52c808b1-40aa-4cdf-8fb1-375051eb0b9e", | 364 | "id": "52c808b1-40aa-4cdf-8fb1-375051eb0b9e", | ||
| 341 | "name": "near-surface relative humidity", | 365 | "name": "near-surface relative humidity", | ||
| 342 | "state": "active", | 366 | "state": "active", | ||
| 343 | "vocabulary_id": null | 367 | "vocabulary_id": null | ||
| 344 | }, | 368 | }, | ||
| 345 | { | 369 | { | ||
| 346 | "display_name": "northward near-surface wind", | 370 | "display_name": "northward near-surface wind", | ||
| 347 | "id": "2cc3dd62-31fb-4353-815a-d7e0c994a0e7", | 371 | "id": "2cc3dd62-31fb-4353-815a-d7e0c994a0e7", | ||
| 348 | "name": "northward near-surface wind", | 372 | "name": "northward near-surface wind", | ||
| 349 | "state": "active", | 373 | "state": "active", | ||
| 350 | "vocabulary_id": null | 374 | "vocabulary_id": null | ||
| 351 | }, | 375 | }, | ||
| 352 | { | 376 | { | ||
| 353 | "display_name": "sea level pressure", | 377 | "display_name": "sea level pressure", | ||
| 354 | "id": "94ce9862-eac9-4d3e-839a-e90134c3fbf4", | 378 | "id": "94ce9862-eac9-4d3e-839a-e90134c3fbf4", | ||
| 355 | "name": "sea level pressure", | 379 | "name": "sea level pressure", | ||
| 356 | "state": "active", | 380 | "state": "active", | ||
| 357 | "vocabulary_id": null | 381 | "vocabulary_id": null | ||
| 358 | }, | 382 | }, | ||
| 359 | { | 383 | { | ||
| 360 | "display_name": "surface downwelling longwave radiation", | 384 | "display_name": "surface downwelling longwave radiation", | ||
| 361 | "id": "22bbd1c2-ef28-49b3-b445-1c384be06550", | 385 | "id": "22bbd1c2-ef28-49b3-b445-1c384be06550", | ||
| 362 | "name": "surface downwelling longwave radiation", | 386 | "name": "surface downwelling longwave radiation", | ||
| 363 | "state": "active", | 387 | "state": "active", | ||
| 364 | "vocabulary_id": null | 388 | "vocabulary_id": null | ||
| 365 | }, | 389 | }, | ||
| 366 | { | 390 | { | ||
| 367 | "display_name": "surface downwelling shortwave radiation", | 391 | "display_name": "surface downwelling shortwave radiation", | ||
| 368 | "id": "54129a45-0d9d-4b61-b88f-2debe2ca9377", | 392 | "id": "54129a45-0d9d-4b61-b88f-2debe2ca9377", | ||
| 369 | "name": "surface downwelling shortwave radiation", | 393 | "name": "surface downwelling shortwave radiation", | ||
| 370 | "state": "active", | 394 | "state": "active", | ||
| 371 | "vocabulary_id": null | 395 | "vocabulary_id": null | ||
| 372 | } | 396 | } | ||
| 373 | ], | 397 | ], | ||
| 374 | "title": "Downscaled and bias corrected dataset for multiple GCMs | 398 | "title": "Downscaled and bias corrected dataset for multiple GCMs | ||
| 375 | and variables", | 399 | and variables", | ||
| 376 | "type": "dataset", | 400 | "type": "dataset", | ||
| 377 | "url": "", | 401 | "url": "", | ||
| 378 | "version": "" | 402 | "version": "" | ||
| 379 | } | 403 | } |