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f | 1 | { | f | 1 | { |
2 | "author": "Portele, Tanja", | 2 | "author": "Portele, Tanja", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.35097/441", | 5 | "doi": "10.35097/441", | ||
6 | "doi_date_published": "2021", | 6 | "doi_date_published": "2021", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "extra_authors": [ | 9 | "extra_authors": [ | ||
10 | { | 10 | { | ||
11 | "extra_author": "Lorenz, Christof", | 11 | "extra_author": "Lorenz, Christof", | ||
12 | "orcid": "0000-0001-5590-5470" | 12 | "orcid": "0000-0001-5590-5470" | ||
13 | } | 13 | } | ||
14 | ], | 14 | ], | ||
15 | "groups": [], | 15 | "groups": [], | ||
16 | "id": "ffa32d4f-73b2-43b2-9ae7-cd8b437b50f2", | 16 | "id": "ffa32d4f-73b2-43b2-9ae7-cd8b437b50f2", | ||
17 | "isopen": false, | 17 | "isopen": false, | ||
18 | "license_id": "CC BY 4.0 Attribution", | 18 | "license_id": "CC BY 4.0 Attribution", | ||
19 | "license_title": "CC BY 4.0 Attribution", | 19 | "license_title": "CC BY 4.0 Attribution", | ||
20 | "metadata_created": "2023-01-12T13:30:37.984174", | 20 | "metadata_created": "2023-01-12T13:30:37.984174", | ||
t | 21 | "metadata_modified": "2023-08-04T08:51:24.864151", | t | 21 | "metadata_modified": "2023-08-04T08:52:53.092030", |
22 | "name": "rdr-doi-10-35097-441", | 22 | "name": "rdr-doi-10-35097-441", | ||
23 | "notes": "Abstract: Increasing frequencies of droughts require | 23 | "notes": "Abstract: Increasing frequencies of droughts require | ||
24 | proactive preparedness, particularly in semi-arid regions. As | 24 | proactive preparedness, particularly in semi-arid regions. As | ||
25 | forecasting of such hydrometeorological extremes several months ahead | 25 | forecasting of such hydrometeorological extremes several months ahead | ||
26 | allows for necessary climate proofing, we assess the potential | 26 | allows for necessary climate proofing, we assess the potential | ||
27 | economic value of the seasonal forecasting system SEAS5 for decision | 27 | economic value of the seasonal forecasting system SEAS5 for decision | ||
28 | making in water management. For seven drought-prone regions analyzed | 28 | making in water management. For seven drought-prone regions analyzed | ||
29 | in America, Africa, and Asia, the relative frequency of drought months | 29 | in America, Africa, and Asia, the relative frequency of drought months | ||
30 | significantly increased from 10 to 30% between 1981 and 2018. We | 30 | significantly increased from 10 to 30% between 1981 and 2018. We | ||
31 | demonstrate that seasonal forecast-based action for droughts achieves | 31 | demonstrate that seasonal forecast-based action for droughts achieves | ||
32 | potential economic savings up to 70% of those from optimal early | 32 | potential economic savings up to 70% of those from optimal early | ||
33 | action. For very warm months and droughts, savings of at least 20% | 33 | action. For very warm months and droughts, savings of at least 20% | ||
34 | occur even for forecast horizons of several months. Our in-depth | 34 | occur even for forecast horizons of several months. Our in-depth | ||
35 | analysis for the Upper-Atbara dam in Sudan reveals avoidable losses of | 35 | analysis for the Upper-Atbara dam in Sudan reveals avoidable losses of | ||
36 | 16 Mio US$ in one example year for early-action based drought | 36 | 16 Mio US$ in one example year for early-action based drought | ||
37 | reservoir operation. These findings stress the advantage and necessity | 37 | reservoir operation. These findings stress the advantage and necessity | ||
38 | of considering seasonal forecasts in hydrological decision | 38 | of considering seasonal forecasts in hydrological decision | ||
39 | making.\r\nTechnicalInfo: The dataset contains the time series | 39 | making.\r\nTechnicalInfo: The dataset contains the time series | ||
40 | (ensemble forecasts, reanalysis data) and shape files which have been | 40 | (ensemble forecasts, reanalysis data) and shape files which have been | ||
41 | used for computing the different indicators in the article \"Seasonal | 41 | used for computing the different indicators in the article \"Seasonal | ||
42 | forecasts offer economic benefit for hydrological decision making in | 42 | forecasts offer economic benefit for hydrological decision making in | ||
43 | semi-arid regions\".", | 43 | semi-arid regions\".", | ||
44 | "num_resources": 0, | 44 | "num_resources": 0, | ||
45 | "num_tags": 6, | 45 | "num_tags": 6, | ||
46 | "orcid": "0000-0001-9436-710X", | 46 | "orcid": "0000-0001-9436-710X", | ||
47 | "organization": { | 47 | "organization": { | ||
48 | "approval_status": "approved", | 48 | "approval_status": "approved", | ||
49 | "created": "2023-01-12T13:30:23.238233", | 49 | "created": "2023-01-12T13:30:23.238233", | ||
50 | "description": "RADAR (Research Data Repository) is a | 50 | "description": "RADAR (Research Data Repository) is a | ||
51 | cross-disciplinary repository for archiving and publishing research | 51 | cross-disciplinary repository for archiving and publishing research | ||
52 | data from completed scientific studies and projects. The focus is on | 52 | data from completed scientific studies and projects. The focus is on | ||
53 | research data from subjects that do not yet have their own | 53 | research data from subjects that do not yet have their own | ||
54 | discipline-specific infrastructures for research data management. ", | 54 | discipline-specific infrastructures for research data management. ", | ||
55 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 55 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
56 | "image_url": "radar-logo.svg", | 56 | "image_url": "radar-logo.svg", | ||
57 | "is_organization": true, | 57 | "is_organization": true, | ||
58 | "name": "radar", | 58 | "name": "radar", | ||
59 | "state": "active", | 59 | "state": "active", | ||
60 | "title": "RADAR", | 60 | "title": "RADAR", | ||
61 | "type": "organization" | 61 | "type": "organization" | ||
62 | }, | 62 | }, | ||
63 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 63 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
64 | "private": false, | 64 | "private": false, | ||
65 | "production_year": "2021", | 65 | "production_year": "2021", | ||
66 | "publication_year": "2021", | 66 | "publication_year": "2021", | ||
67 | "publishers": [ | 67 | "publishers": [ | ||
68 | { | 68 | { | ||
69 | "publisher": "Karlsruhe Institute of Technology (KIT)" | 69 | "publisher": "Karlsruhe Institute of Technology (KIT)" | ||
70 | } | 70 | } | ||
71 | ], | 71 | ], | ||
72 | "related_identifiers": [ | 72 | "related_identifiers": [ | ||
73 | { | 73 | { | ||
74 | "identifier": "10.1038/s41598-021-89564-y", | 74 | "identifier": "10.1038/s41598-021-89564-y", | ||
75 | "identifier_type": "DOI", | 75 | "identifier_type": "DOI", | ||
76 | "relation_type": "IsSupplementTo" | 76 | "relation_type": "IsSupplementTo" | ||
77 | } | 77 | } | ||
78 | ], | 78 | ], | ||
79 | "relationships_as_object": [], | 79 | "relationships_as_object": [], | ||
80 | "relationships_as_subject": [], | 80 | "relationships_as_subject": [], | ||
81 | "repository_name": "RADAR (Research Data Repository)", | 81 | "repository_name": "RADAR (Research Data Repository)", | ||
82 | "resources": [], | 82 | "resources": [], | ||
83 | "services_used_list": "", | 83 | "services_used_list": "", | ||
84 | "source_metadata_created": "2021", | 84 | "source_metadata_created": "2021", | ||
85 | "source_metadata_modified": "", | 85 | "source_metadata_modified": "", | ||
86 | "state": "active", | 86 | "state": "active", | ||
87 | "subject_areas": [ | 87 | "subject_areas": [ | ||
88 | { | 88 | { | ||
89 | "subject_area_additional": "", | 89 | "subject_area_additional": "", | ||
90 | "subject_area_name": "Geological Science" | 90 | "subject_area_name": "Geological Science" | ||
91 | }, | 91 | }, | ||
92 | { | 92 | { | ||
93 | "subject_area_additional": "", | 93 | "subject_area_additional": "", | ||
94 | "subject_area_name": "Environmental Science and Ecology" | 94 | "subject_area_name": "Environmental Science and Ecology" | ||
95 | }, | 95 | }, | ||
96 | { | 96 | { | ||
97 | "subject_area_additional": "Climate Science", | 97 | "subject_area_additional": "Climate Science", | ||
98 | "subject_area_name": "Other" | 98 | "subject_area_name": "Other" | ||
99 | } | 99 | } | ||
100 | ], | 100 | ], | ||
101 | "tags": [ | 101 | "tags": [ | ||
102 | { | 102 | { | ||
103 | "display_name": "ERA5", | 103 | "display_name": "ERA5", | ||
104 | "id": "06dcfd9b-3256-4ae2-b899-2e79ba21df30", | 104 | "id": "06dcfd9b-3256-4ae2-b899-2e79ba21df30", | ||
105 | "name": "ERA5", | 105 | "name": "ERA5", | ||
106 | "state": "active", | 106 | "state": "active", | ||
107 | "vocabulary_id": null | 107 | "vocabulary_id": null | ||
108 | }, | 108 | }, | ||
109 | { | 109 | { | ||
110 | "display_name": "SEAS5", | 110 | "display_name": "SEAS5", | ||
111 | "id": "2931c4c0-769b-4dec-8029-0f2affdb637f", | 111 | "id": "2931c4c0-769b-4dec-8029-0f2affdb637f", | ||
112 | "name": "SEAS5", | 112 | "name": "SEAS5", | ||
113 | "state": "active", | 113 | "state": "active", | ||
114 | "vocabulary_id": null | 114 | "vocabulary_id": null | ||
115 | }, | 115 | }, | ||
116 | { | 116 | { | ||
117 | "display_name": "Seasonal forecasts", | 117 | "display_name": "Seasonal forecasts", | ||
118 | "id": "17869bb1-954a-4fae-a13f-6a4af432831a", | 118 | "id": "17869bb1-954a-4fae-a13f-6a4af432831a", | ||
119 | "name": "Seasonal forecasts", | 119 | "name": "Seasonal forecasts", | ||
120 | "state": "active", | 120 | "state": "active", | ||
121 | "vocabulary_id": null | 121 | "vocabulary_id": null | ||
122 | }, | 122 | }, | ||
123 | { | 123 | { | ||
124 | "display_name": "climate trends", | 124 | "display_name": "climate trends", | ||
125 | "id": "628cd953-c943-4639-9858-b2735d00f21c", | 125 | "id": "628cd953-c943-4639-9858-b2735d00f21c", | ||
126 | "name": "climate trends", | 126 | "name": "climate trends", | ||
127 | "state": "active", | 127 | "state": "active", | ||
128 | "vocabulary_id": null | 128 | "vocabulary_id": null | ||
129 | }, | 129 | }, | ||
130 | { | 130 | { | ||
131 | "display_name": "drought", | 131 | "display_name": "drought", | ||
132 | "id": "6bebbcb6-3760-415d-800e-d7f4d68f5d4e", | 132 | "id": "6bebbcb6-3760-415d-800e-d7f4d68f5d4e", | ||
133 | "name": "drought", | 133 | "name": "drought", | ||
134 | "state": "active", | 134 | "state": "active", | ||
135 | "vocabulary_id": null | 135 | "vocabulary_id": null | ||
136 | }, | 136 | }, | ||
137 | { | 137 | { | ||
138 | "display_name": "reanalysis", | 138 | "display_name": "reanalysis", | ||
139 | "id": "7bc53628-2c1a-4798-8b0d-1d62aec24a42", | 139 | "id": "7bc53628-2c1a-4798-8b0d-1d62aec24a42", | ||
140 | "name": "reanalysis", | 140 | "name": "reanalysis", | ||
141 | "state": "active", | 141 | "state": "active", | ||
142 | "vocabulary_id": null | 142 | "vocabulary_id": null | ||
143 | } | 143 | } | ||
144 | ], | 144 | ], | ||
145 | "title": "Sawam region averages for srep", | 145 | "title": "Sawam region averages for srep", | ||
146 | "type": "vdataset", | 146 | "type": "vdataset", | ||
147 | "url": "https://doi.org/10.35097/441" | 147 | "url": "https://doi.org/10.35097/441" | ||
148 | } | 148 | } |