Changes
On May 11, 2023 at 5:36:34 PM UTC, patdavid:
-
Updated description of resource CMIP6_GCMs.tar.gz in Downscaled and bias corrected dataset for multiple GCMs and variables from
**Filesize: 7.6GB** All the original GCM data without BC and downscaling - CMIP6_GCMs/MPI-ESM1-2-HR # GCM MPI-ESM1-2-HR - CMIP6_GCMs/MPI-ESM1-2-HR/ssp126 # GCM MPI-ESM1-2-HR for the low emssion level ssp126(2015 to 2100) - CMIP6_GCMs/MPI-ESM1-2-HR/ssp585 # GCM MPI-ESM1-2-HR for the high emssion level ssp585(2015 to 2100) - CMIP6_GCMs/MPI-ESM1-2-HR/historical # GCM MPI-ESM1-2-HR in the historical period (1979 to 2014) - CMIP6_GCMs/EC-Earth3 # GCM EC-Earth3 - CMIP6_GCMs/EC-Earth3/ssp126 # GCM EC-Earth3 for the low emssion level ssp126(2015 to 2100) - CMIP6_GCMs/EC-Earth3/ssp585 # GCM EC-Earth3 for the high emssion level ssp585(2015 to 2100) - CMIP6_GCMs/EC-Earth3/historical # GCM EC-Earth3 in the historical period (1979 to 2014) - CMIP6_GCMs/MRI-ESM2-0 # GCM MRI-ESM2-0 - CMIP6_GCMs/MRI-ESM2-0/ssp126 # GCM MRI-ESM2-0 for the low emssion level ssp126(2015 to 2100) - CMIP6_GCMs/MRI-ESM2-0/ssp585 # GCM MRI-ESM2-0 for the high emssion level ssp585(2015 to 2100) - CMIP6_GCMs/MRI-ESM2-0/historical # GCM MRI-ESM2-0 in the historical period (1979 to 2014) - CMIP6_GCMs/IPSL-CM6A-LR # GCM IPSL-CM6A-LR - CMIP6_GCMs/IPSL-CM6A-LR/ssp126 # GCM IPSL-CM6A-LR for the low emssion level ssp126(2015 to 2100) - CMIP6_GCMs/IPSL-CM6A-LR/ssp585 # GCM IPSL-CM6A-LR for the high emssion level ssp585(2015 to 2100) - CMIP6_GCMs/IPSL-CM6A-LR/historical # GCM IPSL-CM6A-LR in the historical period (1979 to 2014) - CMIP6_GCMs/GFDL-ESM4 # GCM GFDL-ESM4 - CMIP6_GCMs/GFDL-ESM4/ssp126 # GCM GFDL-ESM4 for the low emssion level ssp126(2015 to 2100) - CMIP6_GCMs/GFDL-ESM4/ssp585 # GCM GFDL-ESM4 for the high emssion level ssp126(2015 to 2100) - CMIP6_GCMs/GFDL-ESM4/historical # GCM GFDL-ESM4 in the historical period (1979 to 2014)
to**Filesize: 7.6GB** All the original GCM data without BC and downscaling - CMIP6_GCMs/MPI-ESM1-2-HR # GCM MPI-ESM1-2-HR - CMIP6_GCMs/MPI-ESM1-2-HR/ssp126 # GCM MPI-ESM1-2-HR for the low emssion level ssp126(2015 to 2100) - CMIP6_GCMs/MPI-ESM1-2-HR/ssp585 # GCM MPI-ESM1-2-HR for the high emssion level ssp585(2015 to 2100) - CMIP6_GCMs/MPI-ESM1-2-HR/historical # GCM MPI-ESM1-2-HR in the historical period (1979 to 2014) - CMIP6_GCMs/EC-Earth3 # GCM EC-Earth3 - CMIP6_GCMs/EC-Earth3/ssp126 # GCM EC-Earth3 for the low emssion level ssp126(2015 to 2100) - CMIP6_GCMs/EC-Earth3/ssp585 # GCM EC-Earth3 for the high emssion level ssp585(2015 to 2100) - CMIP6_GCMs/EC-Earth3/historical # GCM EC-Earth3 in the historical period (1979 to 2014) - CMIP6_GCMs/MRI-ESM2-0 # GCM MRI-ESM2-0 - CMIP6_GCMs/MRI-ESM2-0/ssp126 # GCM MRI-ESM2-0 for the low emssion level ssp126(2015 to 2100) - CMIP6_GCMs/MRI-ESM2-0/ssp585 # GCM MRI-ESM2-0 for the high emssion level ssp585(2015 to 2100) - CMIP6_GCMs/MRI-ESM2-0/historical # GCM MRI-ESM2-0 in the historical period (1979 to 2014) - CMIP6_GCMs/IPSL-CM6A-LR # GCM IPSL-CM6A-LR - CMIP6_GCMs/IPSL-CM6A-LR/ssp126 # GCM IPSL-CM6A-LR for the low emssion level ssp126(2015 to 2100) - CMIP6_GCMs/IPSL-CM6A-LR/ssp585 # GCM IPSL-CM6A-LR for the high emssion level ssp585(2015 to 2100) - CMIP6_GCMs/IPSL-CM6A-LR/historical # GCM IPSL-CM6A-LR in the historical period (1979 to 2014) - CMIP6_GCMs/GFDL-ESM4 # GCM GFDL-ESM4 - CMIP6_GCMs/GFDL-ESM4/ssp126 # GCM GFDL-ESM4 for the low emssion level ssp126(2015 to 2100) - CMIP6_GCMs/GFDL-ESM4/ssp585 # GCM GFDL-ESM4 for the high emssion level ssp126(2015 to 2100) - CMIP6_GCMs/GFDL-ESM4/historical # GCM GFDL-ESM4 in the historical period (1979 to 2014)
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": "2023-05-11T17:36:26.931262", | n | 24 | "metadata_modified": "2023-05-11T17:36:34.509100", |
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", | ||
59 | "num_resources": 5, | 59 | "num_resources": 5, | ||
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, | ||
n | 121 | "description": "**Filesize: 7.6GB**\r\nAll the original GCM data | n | 121 | "description": "**Filesize: 7.6GB**\r\n\r\nAll the original GCM |
122 | 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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201 | "description": " - ERA5-single-hourly # Hourly ERA5 data | 201 | "description": " - ERA5-single-hourly # Hourly ERA5 data | ||
202 | directly downloaded from ECMWF website\r\n - ERA5-single-hourly/hurs # | 202 | directly downloaded from ECMWF website\r\n - ERA5-single-hourly/hurs # | ||
203 | Hourly ERA5 data for near-surface relative humidity (hurs)\r\n - | 203 | Hourly ERA5 data for near-surface relative humidity (hurs)\r\n - | ||
204 | ERA5-single-hourly/psl # Hourly ERA5 data for sea level pressure | 204 | ERA5-single-hourly/psl # Hourly ERA5 data for sea level pressure | ||
205 | (psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 data for surface | 205 | (psl)\r\n - ERA5-single-hourly/rlds # Hourly ERA5 data for surface | ||
206 | downwelling longwave radiation (rlds)\r\n - ERA5-single-hourly/rsds # | 206 | downwelling longwave radiation (rlds)\r\n - ERA5-single-hourly/rsds # | ||
207 | Hourly ERA5 data for surface downwelling shortwave radiation | 207 | Hourly ERA5 data for surface downwelling shortwave radiation | ||
208 | (rsds)\r\n - ERA5-single-hourly/uas # Hourly ERA5 data for eastward | 208 | (rsds)\r\n - ERA5-single-hourly/uas # Hourly ERA5 data for eastward | ||
209 | near-surface wind (uas)\r\n - ERA5-single-hourly/vas # Hourly ERA5 | 209 | near-surface wind (uas)\r\n - ERA5-single-hourly/vas # Hourly ERA5 | ||
210 | data for northward near-surface wind (vas)\r\n - | 210 | data for northward near-surface wind (vas)\r\n - | ||
211 | ERA5-single-hourly/d2m # Hourly ERA5 data for 2m dew temperature\r\n | 211 | ERA5-single-hourly/d2m # Hourly ERA5 data for 2m dew temperature\r\n | ||
212 | - ERA5-single-hourly/pr # Hourly ERA5 data for total | 212 | - ERA5-single-hourly/pr # Hourly ERA5 data for total | ||
213 | precipitation\r\n - ERA5-single-hourly/t2m # Hourly ERA5 data for 2m | 213 | precipitation\r\n - ERA5-single-hourly/t2m # Hourly ERA5 data for 2m | ||
214 | temperature\r\n", | 214 | temperature\r\n", | ||
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232 | { | 232 | { | ||
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238 | "description": "All the BC/downscaled results through | 238 | "description": "All the BC/downscaled results through | ||
239 | QDM\r\n\r\n - QDM/IPSL-CM6A-LR # | 239 | QDM\r\n\r\n - QDM/IPSL-CM6A-LR # | ||
240 | BC/downscaled results for GCM IPSL-CM6A-LR | 240 | BC/downscaled results for GCM IPSL-CM6A-LR | ||
241 | \r\n - QDM/IPSL-CM6A-LR/ssp126 # BC/downscaled | 241 | \r\n - QDM/IPSL-CM6A-LR/ssp126 # BC/downscaled | ||
242 | results for GCM IPSL-CM6A-LR of ssp126(2015 to 2100) \r\n - | 242 | results for GCM IPSL-CM6A-LR of ssp126(2015 to 2100) \r\n - | ||
243 | QDM/IPSL-CM6A-LR/ssp585 # BC/downscaled results for | 243 | QDM/IPSL-CM6A-LR/ssp585 # BC/downscaled results for | ||
244 | GCM IPSL-CM6A-LR of ssp585(2015 to 2100)\r\n - QDM/EC-Earth3 | 244 | GCM IPSL-CM6A-LR of ssp585(2015 to 2100)\r\n - QDM/EC-Earth3 | ||
245 | # BC/downscaled results for GCM EC-Earth3 \r\n - QDM/EC-Earth3/ssp126 | 245 | # BC/downscaled results for GCM EC-Earth3 \r\n - QDM/EC-Earth3/ssp126 | ||
246 | # BC/downscaled results for GCM EC-Earth3 of ssp126(2015 to 2100) | 246 | # BC/downscaled results for GCM EC-Earth3 of ssp126(2015 to 2100) | ||
247 | \r\n - QDM/EC-Earth3/ssp585 # BC/downscaled | 247 | \r\n - QDM/EC-Earth3/ssp585 # BC/downscaled | ||
248 | results for GCM EC-Earth3 of ssp585(2015 to 2100) \r\n - | 248 | results for GCM EC-Earth3 of ssp585(2015 to 2100) \r\n - | ||
249 | QDM/MPI-ESM1-2-HR # BC/downscaled results for | 249 | QDM/MPI-ESM1-2-HR # BC/downscaled results for | ||
250 | GCM MPI-ESM1-2-HR \r\n - QDM/MPI-ESM1-2-HR/ssp126 # | 250 | GCM MPI-ESM1-2-HR \r\n - QDM/MPI-ESM1-2-HR/ssp126 # | ||
251 | BC/downscaled results for GCM MPI-ESM1-2-HR of ssp126(2015 to | 251 | BC/downscaled results for GCM MPI-ESM1-2-HR of ssp126(2015 to | ||
252 | 2100)\r\n - QDM/MPI-ESM1-2-HR/ssp585 # BC/downscaled | 252 | 2100)\r\n - QDM/MPI-ESM1-2-HR/ssp585 # BC/downscaled | ||
253 | results for GCM MPI-ESM1-2-HR of ssp585(2015 to 2100)\r\n - | 253 | results for GCM MPI-ESM1-2-HR of ssp585(2015 to 2100)\r\n - | ||
254 | QDM/MRI-ESM2-0 # BC/downscaled results for | 254 | QDM/MRI-ESM2-0 # BC/downscaled results for | ||
255 | GCM MRI-ESM2-0 \r\n - QDM/MRI-ESM2-0/ssp126 # | 255 | GCM MRI-ESM2-0 \r\n - QDM/MRI-ESM2-0/ssp126 # | ||
256 | BC/downscaled results for GCM MRI-ESM2-0 of ssp126(2015 to 2100)\r\n - | 256 | BC/downscaled results for GCM MRI-ESM2-0 of ssp126(2015 to 2100)\r\n - | ||
257 | QDM/MRI-ESM2-0/ssp585 # BC/downscaled results for | 257 | QDM/MRI-ESM2-0/ssp585 # BC/downscaled results for | ||
258 | GCM MRI-ESM2-0 of ssp585(2015 to 2100)\r\n - QDM/GFDL-ESM4 | 258 | GCM MRI-ESM2-0 of ssp585(2015 to 2100)\r\n - QDM/GFDL-ESM4 | ||
259 | # BC/downscaled results for GCM GFDL-ESM4 \r\n - QDM/GFDL-ESM4/ssp126 | 259 | # BC/downscaled results for GCM GFDL-ESM4 \r\n - QDM/GFDL-ESM4/ssp126 | ||
260 | # BC/downscaled results for GCM GFDL-ESM4 of ssp126(2015 to 2100)\r\n | 260 | # BC/downscaled results for GCM GFDL-ESM4 of ssp126(2015 to 2100)\r\n | ||
261 | - QDM/GFDL-ESM4/ssp585. # BC/downscaled results | 261 | - QDM/GFDL-ESM4/ssp585. # BC/downscaled results | ||
262 | for GCM GFDL-ESM4 of ssp585(2015 to 2100)\r\n", | 262 | for GCM GFDL-ESM4 of ssp585(2015 to 2100)\r\n", | ||
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278 | "url_type": null | 278 | "url_type": null | ||
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280 | { | 280 | { | ||
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286 | "description": "Jupyter notebook with extra information on the | 286 | "description": "Jupyter notebook with extra information on the | ||
287 | dataset.\r\nRetrieved from: | 287 | dataset.\r\nRetrieved from: | ||
288 | https://github.com/OyBcSt/Climate_data/blob/main/index.ipynb", | 288 | https://github.com/OyBcSt/Climate_data/blob/main/index.ipynb", | ||
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303 | d-bias-corrected-dataset-for-multiple-gcms-and-variables/index.ipynb", | 303 | d-bias-corrected-dataset-for-multiple-gcms-and-variables/index.ipynb", | ||
304 | "url_type": "" | 304 | "url_type": "" | ||
305 | } | 305 | } | ||
306 | ], | 306 | ], | ||
307 | "state": "active", | 307 | "state": "active", | ||
308 | "tags": [ | 308 | "tags": [ | ||
309 | { | 309 | { | ||
310 | "display_name": "daily maximum near-surface air temperature", | 310 | "display_name": "daily maximum near-surface air temperature", | ||
311 | "id": "4e20a5f5-3150-40ac-91b2-f2db16af98fe", | 311 | "id": "4e20a5f5-3150-40ac-91b2-f2db16af98fe", | ||
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313 | "state": "active", | 313 | "state": "active", | ||
314 | "vocabulary_id": null | 314 | "vocabulary_id": null | ||
315 | }, | 315 | }, | ||
316 | { | 316 | { | ||
317 | "display_name": "daily minimum near-surface air temperature", | 317 | "display_name": "daily minimum near-surface air temperature", | ||
318 | "id": "c868053d-8971-4a12-a91e-6d9705f48297", | 318 | "id": "c868053d-8971-4a12-a91e-6d9705f48297", | ||
319 | "name": "daily minimum near-surface air temperature", | 319 | "name": "daily minimum near-surface air temperature", | ||
320 | "state": "active", | 320 | "state": "active", | ||
321 | "vocabulary_id": null | 321 | "vocabulary_id": null | ||
322 | }, | 322 | }, | ||
323 | { | 323 | { | ||
324 | "display_name": "daily total precipitation", | 324 | "display_name": "daily total precipitation", | ||
325 | "id": "4bbcd693-85e1-4434-9322-969dab47085a", | 325 | "id": "4bbcd693-85e1-4434-9322-969dab47085a", | ||
326 | "name": "daily total precipitation", | 326 | "name": "daily total precipitation", | ||
327 | "state": "active", | 327 | "state": "active", | ||
328 | "vocabulary_id": null | 328 | "vocabulary_id": null | ||
329 | }, | 329 | }, | ||
330 | { | 330 | { | ||
331 | "display_name": "eastward near-surface wind", | 331 | "display_name": "eastward near-surface wind", | ||
332 | "id": "12a798a4-0f36-474d-94e6-16a9c03fc906", | 332 | "id": "12a798a4-0f36-474d-94e6-16a9c03fc906", | ||
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334 | "state": "active", | 334 | "state": "active", | ||
335 | "vocabulary_id": null | 335 | "vocabulary_id": null | ||
336 | }, | 336 | }, | ||
337 | { | 337 | { | ||
338 | "display_name": "near-surface relative humidity", | 338 | "display_name": "near-surface relative humidity", | ||
339 | "id": "52c808b1-40aa-4cdf-8fb1-375051eb0b9e", | 339 | "id": "52c808b1-40aa-4cdf-8fb1-375051eb0b9e", | ||
340 | "name": "near-surface relative humidity", | 340 | "name": "near-surface relative humidity", | ||
341 | "state": "active", | 341 | "state": "active", | ||
342 | "vocabulary_id": null | 342 | "vocabulary_id": null | ||
343 | }, | 343 | }, | ||
344 | { | 344 | { | ||
345 | "display_name": "northward near-surface wind", | 345 | "display_name": "northward near-surface wind", | ||
346 | "id": "2cc3dd62-31fb-4353-815a-d7e0c994a0e7", | 346 | "id": "2cc3dd62-31fb-4353-815a-d7e0c994a0e7", | ||
347 | "name": "northward near-surface wind", | 347 | "name": "northward near-surface wind", | ||
348 | "state": "active", | 348 | "state": "active", | ||
349 | "vocabulary_id": null | 349 | "vocabulary_id": null | ||
350 | }, | 350 | }, | ||
351 | { | 351 | { | ||
352 | "display_name": "sea level pressure", | 352 | "display_name": "sea level pressure", | ||
353 | "id": "94ce9862-eac9-4d3e-839a-e90134c3fbf4", | 353 | "id": "94ce9862-eac9-4d3e-839a-e90134c3fbf4", | ||
354 | "name": "sea level pressure", | 354 | "name": "sea level pressure", | ||
355 | "state": "active", | 355 | "state": "active", | ||
356 | "vocabulary_id": null | 356 | "vocabulary_id": null | ||
357 | }, | 357 | }, | ||
358 | { | 358 | { | ||
359 | "display_name": "surface downwelling longwave radiation", | 359 | "display_name": "surface downwelling longwave radiation", | ||
360 | "id": "22bbd1c2-ef28-49b3-b445-1c384be06550", | 360 | "id": "22bbd1c2-ef28-49b3-b445-1c384be06550", | ||
361 | "name": "surface downwelling longwave radiation", | 361 | "name": "surface downwelling longwave radiation", | ||
362 | "state": "active", | 362 | "state": "active", | ||
363 | "vocabulary_id": null | 363 | "vocabulary_id": null | ||
364 | }, | 364 | }, | ||
365 | { | 365 | { | ||
366 | "display_name": "surface downwelling shortwave radiation", | 366 | "display_name": "surface downwelling shortwave radiation", | ||
367 | "id": "54129a45-0d9d-4b61-b88f-2debe2ca9377", | 367 | "id": "54129a45-0d9d-4b61-b88f-2debe2ca9377", | ||
368 | "name": "surface downwelling shortwave radiation", | 368 | "name": "surface downwelling shortwave radiation", | ||
369 | "state": "active", | 369 | "state": "active", | ||
370 | "vocabulary_id": null | 370 | "vocabulary_id": null | ||
371 | } | 371 | } | ||
372 | ], | 372 | ], | ||
373 | "title": "Downscaled and bias corrected dataset for multiple GCMs | 373 | "title": "Downscaled and bias corrected dataset for multiple GCMs | ||
374 | and variables", | 374 | and variables", | ||
375 | "type": "dataset", | 375 | "type": "dataset", | ||
376 | "url": "", | 376 | "url": "", | ||
377 | "version": "" | 377 | "version": "" | ||
378 | } | 378 | } |