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  "author": "Dr. Geeta Persad, Dr. Ifeanyichukwu Nduka",
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  "author": "Dr. Geeta Persad, Dr. Ifeanyichukwu Nduka",
            
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  "author_email": "geeta.persad@jsg.utexas.edu, 
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  "author_email": "geeta.persad@jsg.utexas.edu, 
            
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icnduka@jsg.utexas.edu",
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icnduka@jsg.utexas.edu",
            
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  "creator_user_id": "1ff32a65-f81d-475a-a8d3-9ddb81ec4550",
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  "creator_user_id": "1ff32a65-f81d-475a-a8d3-9ddb81ec4550",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "a249279b-ef13-4eda-889d-e2cd12fb320a",
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  "id": "a249279b-ef13-4eda-889d-e2cd12fb320a",
            
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  "isopen": false,
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  "isopen": false,
            
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  "license_id": "notspecified",
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  "license_id": "notspecified",
            
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  "license_title": "License not specified",
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  "license_title": "License not specified",
            
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  "maintainer": "Dr. Ifeanyichukwu Nduka, Cameron Cummins",
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  "maintainer": "Dr. Ifeanyichukwu Nduka, Cameron Cummins",
            
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  "maintainer_email": "icnduka@jsg.utexas.edu, 
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  "maintainer_email": "icnduka@jsg.utexas.edu, 
            
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cameron.cummins@utexas.edu",
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cameron.cummins@utexas.edu",
            
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  "metadata_created": "2025-09-24T21:32:41.087476",
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  "metadata_created": "2025-09-24T21:32:41.087476",
            
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  "metadata_modified": "2025-10-08T21:00:46.774619",
            
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  "name": "setx_climate_data",
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  "name": "setx_climate_data",
            
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  "notes": "For the SETx-UIFL, the daily NASA Earth Exchange Global 
17
  "notes": "For the SETx-UIFL, the daily NASA Earth Exchange Global 
            
18
Daily Downscaled Projections (NEX-GDDP-CMIP6) dataset climate 
18
Daily Downscaled Projections (NEX-GDDP-CMIP6) dataset climate 
            
19
projections were downscaled from ~27km to 1km. The SETx dataset 
19
projections were downscaled from ~27km to 1km. The SETx dataset 
            
20
provides very high-resolution climate data for the historical 
20
provides very high-resolution climate data for the historical 
            
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(1950-2014) and future scenarios derived from CMIP6 global models 
21
(1950-2014) and future scenarios derived from CMIP6 global models 
            
22
under the four Tier 1 Shared Socioeconomic Pathways (SSPs 1.26, 2.45, 
22
under the four Tier 1 Shared Socioeconomic Pathways (SSPs 1.26, 2.45, 
            
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3.70 & 5.85), developed for the IPCC Sixth Assessment Report.\r\n\r\nA 
23
3.70 & 5.85), developed for the IPCC Sixth Assessment Report.\r\n\r\nA 
            
24
subset of ten NEX-GDDP-CMIP6 models was selected for SETx-UIFL to 
24
subset of ten NEX-GDDP-CMIP6 models was selected for SETx-UIFL to 
            
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provide robust daily historical and future climate conditions in 
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provide robust daily historical and future climate conditions in 
            
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Southeast Texas. These models were chosen to represent a balance of 
26
Southeast Texas. These models were chosen to represent a balance of 
            
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model families, climate sensitivities, and availability across 
27
model families, climate sensitivities, and availability across 
            
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scenarios, ensuring a diverse and reliable ensemble for regional 
28
scenarios, ensuring a diverse and reliable ensemble for regional 
            
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analysis. The selected models are:\r\n\r\n - BCC-CSM2-MR\r\n - 
29
analysis. The selected models are:\r\n\r\n - BCC-CSM2-MR\r\n - 
            
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CESM2\r\n - CMCC-ESM2\r\n - CNRM-ESM2-1\r\n - EC-Earth3\r\n - 
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CESM2\r\n - CMCC-ESM2\r\n - CNRM-ESM2-1\r\n - EC-Earth3\r\n - 
            
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FGOALS-g3\r\n - GFDL-CM4\r\n - MPI-ESM1-2-HR\r\n - MRI-ESM2-0\r\n - 
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FGOALS-g3\r\n - GFDL-CM4\r\n - MPI-ESM1-2-HR\r\n - MRI-ESM2-0\r\n - 
            
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NorESM2-MM\r\n\r\nThe following daily variables were downscaled for 
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NorESM2-MM\r\n\r\nThe following daily variables were downscaled for 
            
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SETx-UIFL:\r\n\r\n - `tasmax` \u2013 Near-surface maximum air 
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SETx-UIFL:\r\n\r\n - `tasmax` \u2013 Near-surface maximum air 
            
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temperature\r\n - `tasmin` \u2013 Near-surface minimum air 
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temperature\r\n - `tasmin` \u2013 Near-surface minimum air 
            
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temperature\r\n - `tas` \u2013 Near-surface mean air temperature\r\n - 
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temperature\r\n - `tas` \u2013 Near-surface mean air temperature\r\n - 
            
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`pr` \u2013 Daily precipitation total\r\n - `hurs` \u2013 Near-surface 
36
`pr` \u2013 Daily precipitation total\r\n - `hurs` \u2013 Near-surface 
            
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relative humidity\r\n - `huss` \u2013 Near-surface specific 
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relative humidity\r\n - `huss` \u2013 Near-surface specific 
            
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humidity\r\n - `rsds` \u2013 Surface downwelling shortwave 
38
humidity\r\n - `rsds` \u2013 Surface downwelling shortwave 
            
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radiation\r\n - `rlds` \u2013 Surface downwelling longwave 
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radiation\r\n - `rlds` \u2013 Surface downwelling longwave 
            
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radiation\r\n - `sfcWind` \u2013 Near-surface wind speed\r\n\r\nThese 
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radiation\r\n - `sfcWind` \u2013 Near-surface wind speed\r\n\r\nThese 
            
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downscaled data support regional impact analysis and can also be 
41
downscaled data support regional impact analysis and can also be 
            
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applied in other scientific studies requiring localized climate 
42
applied in other scientific studies requiring localized climate 
            
43
projections. The original dataset is publicly available at: 
43
projections. The original dataset is publicly available at: 
            
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https://doi.org/10.7917/OFSG3345](https://doi.org/10.7917/OFSG3345).",
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https://doi.org/10.7917/OFSG3345](https://doi.org/10.7917/OFSG3345).",
            
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    "created": "2024-12-13T20:42:01.291625",
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    "created": "2024-12-13T20:42:01.291625",
            
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    "description": "Southeast Texas Urban Integrated Field Lab 
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    "description": "Southeast Texas Urban Integrated Field Lab 
            
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(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
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(SETx-UIFL) is a DOE-funded Urban Integrated Field Laboratory studying 
            
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the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
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the Beaumont-Port Arthur area. The project focuses on Gulf Coast 
            
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communities with industrial facilities and population change 
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communities with industrial facilities and population change 
            
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challenges.",
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challenges.",
            
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