Changes
On October 16, 2024 at 5:32:02 PM +1100, National Native Title Tribunal:
-
Removed NARCliM2.0 climate projections from organization NSW Department of Climate Change, Energy, the Environment and Water
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Removed the following tags from NARCliM2.0 climate projections
-
Removed field
harvest_label
from NARCliM2.0 climate projections -
Changed value of field
harvest_portal
toSEED
(previouslyePlanning
) in NARCliM2.0 climate projections -
Changed value of field
harvest_url
tohttps://datasets.seed.nsw.gov.au/dataset/narclim-climate-projections-n2-0
(previouslyhttps://www.planningportal.nsw.gov.au/opendata/dataset/narclim-climate-projections-n2-0
) in NARCliM2.0 climate projections -
Added resource [IN PRESS] Evaluation of CORDEX ERA5-forced NARCliM2.0 regional climate models over Australia using the Weather Research and Forecasting (WRF) model version 4.1.2 to NARCliM2.0 climate projections
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Added resource Terms and conditions for NARCliM data to NARCliM2.0 climate projections
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Added resource NARCliM2.0 at NCI to NARCliM2.0 climate projections
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Added resource NARCliM2.0 List of variables to NARCliM2.0 climate projections
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Added resource Data Quality Statement to NARCliM2.0 climate projections
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Added resource Selecting CMIP6 GCMs for CORDEX dynamical downscaling: model performance, independence, and climate change signals to NARCliM2.0 climate projections
-
Added resource [IN PRESS] Design, evaluation and future projections of the NARCliM2.0 CORDEX-CMIP6 Australasia regional climate ensemble to NARCliM2.0 climate projections
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Deleted resource Data Quality Statement from NARCliM2.0 climate projections
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Deleted resource NARCliM2.0 List of variables from NARCliM2.0 climate projections
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Deleted resource Selecting CMIP6 GCMs for CORDEX dynamical downscaling: model performance, independence, and climate change signals from NARCliM2.0 climate projections
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Deleted resource Terms and conditions for NARCliM data from NARCliM2.0 climate projections
-
Deleted resource NARCliM2.0 at NCI from NARCliM2.0 climate projections
f | 1 | { | f | 1 | { |
2 | "author_email": null, | 2 | "author_email": null, | ||
3 | "creator_user_id": "8d2ac61a-d63a-4456-a00d-b35fee4c4025", | 3 | "creator_user_id": "8d2ac61a-d63a-4456-a00d-b35fee4c4025", | ||
4 | "extras": [ | 4 | "extras": [ | ||
5 | { | 5 | { | ||
n | 6 | "key": "harvest_label", | n | ||
7 | "value": "normal" | ||||
8 | }, | ||||
9 | { | ||||
10 | "key": "harvest_portal", | 6 | "key": "harvest_portal", | ||
n | 11 | "value": "ePlanning" | n | 7 | "value": "SEED" |
12 | }, | 8 | }, | ||
13 | { | 9 | { | ||
14 | "key": "harvest_url", | 10 | "key": "harvest_url", | ||
15 | "value": | 11 | "value": | ||
n | 16 | ngportal.nsw.gov.au/opendata/dataset/narclim-climate-projections-n2-0" | n | 12 | s://datasets.seed.nsw.gov.au/dataset/narclim-climate-projections-n2-0" |
17 | } | 13 | } | ||
18 | ], | 14 | ], | ||
19 | "groups": [], | 15 | "groups": [], | ||
20 | "id": "c6798ce9-f21b-49a7-b47f-0ad82dd78ab9", | 16 | "id": "c6798ce9-f21b-49a7-b47f-0ad82dd78ab9", | ||
21 | "isopen": true, | 17 | "isopen": true, | ||
22 | "license_id": "cc-by", | 18 | "license_id": "cc-by", | ||
23 | "license_title": "Creative Commons Attribution", | 19 | "license_title": "Creative Commons Attribution", | ||
24 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | 20 | "license_url": "http://www.opendefinition.org/licenses/cc-by", | ||
25 | "likes": 0, | 21 | "likes": 0, | ||
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27 | "maintainer_email": null, | 23 | "maintainer_email": null, | ||
28 | "metadata_created": "2024-09-13T01:16:43.623440", | 24 | "metadata_created": "2024-09-13T01:16:43.623440", | ||
n | 29 | "metadata_modified": "2024-10-14T01:15:38.390017", | n | 25 | "metadata_modified": "2024-10-16T06:32:02.238264", |
30 | "name": "narclim-climate-projections-n2-0", | 26 | "name": "narclim-climate-projections-n2-0", | ||
31 | "notes": "__What is NARCliM?__\r\n\r\nThe New South Wales and | 27 | "notes": "__What is NARCliM?__\r\n\r\nThe New South Wales and | ||
32 | Australian Regional Climate Modelling (NARCliM) project develops | 28 | Australian Regional Climate Modelling (NARCliM) project develops | ||
33 | high-resolution regional climate projections that cover NSW and | 29 | high-resolution regional climate projections that cover NSW and | ||
34 | South-eastern Australia at a higher resolution and the Australasian | 30 | South-eastern Australia at a higher resolution and the Australasian | ||
35 | continent and beyond at another resolution (named the NARCliM and | 31 | continent and beyond at another resolution (named the NARCliM and | ||
36 | CORDEX domains, respectively).\r\nComputer modelled climate | 32 | CORDEX domains, respectively).\r\nComputer modelled climate | ||
37 | projections are the best information we have available on our future | 33 | projections are the best information we have available on our future | ||
38 | climate. NARCliM has been designed to help government, industry and | 34 | climate. NARCliM has been designed to help government, industry and | ||
39 | community in NSW and Australia plan for our future with robust | 35 | community in NSW and Australia plan for our future with robust | ||
40 | regional and local scale data.\r\nThe NARCliM project uses currently | 36 | regional and local scale data.\r\nThe NARCliM project uses currently | ||
41 | available global climate models (GCM) and greenhouse gas (GHG) | 37 | available global climate models (GCM) and greenhouse gas (GHG) | ||
42 | emissions scenarios from the latest Coupled Model Intercomparison | 38 | emissions scenarios from the latest Coupled Model Intercomparison | ||
43 | Project (CMIP) used in the IPCC reports and applies regional dynamical | 39 | Project (CMIP) used in the IPCC reports and applies regional dynamical | ||
44 | downscaling using the latest Weather Research and Forecasting model | 40 | downscaling using the latest Weather Research and Forecasting model | ||
45 | (WRF). NARCliM generates critical climate indices for a broad range of | 41 | (WRF). NARCliM generates critical climate indices for a broad range of | ||
46 | applications and climate change adaptation and risk analysis.\r\nThe | 42 | applications and climate change adaptation and risk analysis.\r\nThe | ||
47 | NARCliM project is led by the NSW Government with support from the | 43 | NARCliM project is led by the NSW Government with support from the | ||
48 | ACT, South Australian, Victorian, and Western Australian governments, | 44 | ACT, South Australian, Victorian, and Western Australian governments, | ||
49 | National Computational Infrastructure, Murdoch University and the | 45 | National Computational Infrastructure, Murdoch University and the | ||
50 | University of New South Wales.\r\n\r\n__NARCliM2.0__\r\n\r\nNARCliM2.0 | 46 | University of New South Wales.\r\n\r\n__NARCliM2.0__\r\n\r\nNARCliM2.0 | ||
51 | was released in the second half 2024. It is the most detailed regional | 47 | was released in the second half 2024. It is the most detailed regional | ||
52 | climate projections available in Australia to date at 4km grid | 48 | climate projections available in Australia to date at 4km grid | ||
53 | resolution for South-eastern Australia and 20km for Australasia. | 49 | resolution for South-eastern Australia and 20km for Australasia. | ||
54 | NARCliM2.0 simulates the climate using five CMIP6 GCMs and two RCMs | 50 | NARCliM2.0 simulates the climate using five CMIP6 GCMs and two RCMs | ||
55 | with continuous data from 1950 to 2100. Rigorous and peer-reviewed | 51 | with continuous data from 1950 to 2100. Rigorous and peer-reviewed | ||
56 | analysis of CMIP6 GCMs was undertaken to identify the best-performing | 52 | analysis of CMIP6 GCMs was undertaken to identify the best-performing | ||
57 | models for NARCliM2.0 over eastern Australia\u2019s geographically | 53 | models for NARCliM2.0 over eastern Australia\u2019s geographically | ||
58 | complex and heavily populated regions. These five GCMs were chosen | 54 | complex and heavily populated regions. These five GCMs were chosen | ||
59 | because they performed well in simulating various aspects of daily | 55 | because they performed well in simulating various aspects of daily | ||
60 | climate, were independent models, and showed diverse signals of | 56 | climate, were independent models, and showed diverse signals of | ||
61 | climate change. This made them the most suitable group for downscaling | 57 | climate change. This made them the most suitable group for downscaling | ||
62 | to represent a wide range of future climates.\r\n\r\nThe current | 58 | to represent a wide range of future climates.\r\n\r\nThe current | ||
63 | release includes two GHG scenarios - SSP1-2.6 (low emissions) and | 59 | release includes two GHG scenarios - SSP1-2.6 (low emissions) and | ||
64 | SSP3-7.0 (high emissions), with a third scenario, SSP2-4.5 (middle of | 60 | SSP3-7.0 (high emissions), with a third scenario, SSP2-4.5 (middle of | ||
65 | the road emissions), available in 2025. Shared Socioeconomic Pathways | 61 | the road emissions), available in 2025. Shared Socioeconomic Pathways | ||
66 | do not estimate the relative likelihood of any scenario. Since any | 62 | do not estimate the relative likelihood of any scenario. Since any | ||
67 | future scenario is plausible, it is best to consider multiple | 63 | future scenario is plausible, it is best to consider multiple | ||
68 | scenarios where possible. NARCliM2.0 has been designed to WRCP-CORDEX | 64 | scenarios where possible. NARCliM2.0 has been designed to WRCP-CORDEX | ||
69 | (https://cordex.org/) standards. Additionally, the 4km grid resolution | 65 | (https://cordex.org/) standards. Additionally, the 4km grid resolution | ||
70 | over South-eastern Australia is considered 'convection permitting' in | 66 | over South-eastern Australia is considered 'convection permitting' in | ||
71 | that it better captures convective processes like strong winds, | 67 | that it better captures convective processes like strong winds, | ||
72 | extreme rainfall, storms and coastal atmospheric dynamics. NARCliM | 68 | extreme rainfall, storms and coastal atmospheric dynamics. NARCliM | ||
73 | provides users with state of the art climate projections for Australia | 69 | provides users with state of the art climate projections for Australia | ||
74 | at the finest resolution currently available.\r\nEach generation of | 70 | at the finest resolution currently available.\r\nEach generation of | ||
75 | NARCliM is based on best available climate modelling and scenarios at | 71 | NARCliM is based on best available climate modelling and scenarios at | ||
76 | the time of release. Consequently, there are expected differences | 72 | the time of release. Consequently, there are expected differences | ||
77 | between projections/results of the modelling but there are mostly | 73 | between projections/results of the modelling but there are mostly | ||
78 | similarities in trends (across NSW and over time).\r\n\r\n__Model | 74 | similarities in trends (across NSW and over time).\r\n\r\n__Model | ||
79 | output__\r\n\r\nNARCliM2.0 contains approximately 150 climate | 75 | output__\r\n\r\nNARCliM2.0 contains approximately 150 climate | ||
80 | variables defined by CORDEX guidelines. The most commonly used | 76 | variables defined by CORDEX guidelines. The most commonly used | ||
81 | variables (CORDEX CORE) at daily and monthly frequencies in regular | 77 | variables (CORDEX CORE) at daily and monthly frequencies in regular | ||
82 | grid will be available on the NSW Climate Data Portal in late 2024. | 78 | grid will be available on the NSW Climate Data Portal in late 2024. | ||
83 | Most variables and additional frequencies/time steps are currently | 79 | Most variables and additional frequencies/time steps are currently | ||
84 | available on the National Computational Infrastructure at ANU | 80 | available on the National Computational Infrastructure at ANU | ||
85 | (https://dx.doi.org/10.25914/ysxb-rt43). For more information, visit | 81 | (https://dx.doi.org/10.25914/ysxb-rt43). For more information, visit | ||
86 | the AdaptNSW website, or contact us through the NARCliM Mailbox, | 82 | the AdaptNSW website, or contact us through the NARCliM Mailbox, | ||
87 | narclim@environment.nsw.gov.au. \r\n\r\n__Related | 83 | narclim@environment.nsw.gov.au. \r\n\r\n__Related | ||
88 | links__\r\n\r\nDiscover how climate change will affect your region at | 84 | links__\r\n\r\nDiscover how climate change will affect your region at | ||
89 | W](https://www.climatechange.environment.nsw.gov.au/projections-map)", | 85 | W](https://www.climatechange.environment.nsw.gov.au/projections-map)", | ||
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91 | "num_tags": 3, | 87 | "num_tags": 1, | ||
92 | "organization": { | 88 | "organization": null, | ||
93 | "approval_status": "approved", | ||||
94 | "created": "2024-02-06T16:04:42.881176", | ||||
95 | "description": "Ensuring a sustainable NSW through climate change | ||||
96 | and energy action, water management, environment and heritage | ||||
97 | conservation and protection.", | ||||
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99 | "image_url": "2024-02-06-050442.862891imageupload", | ||||
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103 | "state": "active", | ||||
104 | "title": "NSW Department of Climate Change, Energy, the | ||||
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106 | "type": "organization" | ||||
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