NEX-DCP30 は、NASA Earth Exchange を使用して Climate Analytics Group と NASA Ames Research Center によって作成され、NASA Center for Climate Simulation（NCCS）によって配布されました。
Thrasher, B.、J. Xiong, W. Wang, F. Melton, A. Michaelis と R. Nemani（2013）、Downscaled Climate Projections Suitable for Resource Management（リソース管理に適したダウンスケールされた気候予測）、Eos Trans. AGU、94（37）、321。
doi:10.1002/2013EO370002
[null,null,[],[[["\u003cp\u003eThe NASA NEX-DCP30 dataset provides downscaled climate projections for the conterminous United States, including monthly temperature and precipitation data.\u003c/p\u003e\n"],["\u003cp\u003eProjections cover historical data from 1950-2005 and future scenarios from 2006-2099 under four Representative Concentration Pathways (RCPs).\u003c/p\u003e\n"],["\u003cp\u003eData is derived from CMIP5 General Circulation Model runs and has a spatial resolution of 927.67 meters.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes ensemble statistics (mean, quartiles, and median) for daily precipitation rate, minimum and maximum near-surface air temperature.\u003c/p\u003e\n"],["\u003cp\u003eNEX-DCP30 is publicly available and can be accessed through Google Earth Engine.\u003c/p\u003e\n"]]],["The NASA NEX-DCP30 dataset provides monthly climate projections for the US from 1950-2099, derived from CMIP5 and IPCC AR5 emissions scenarios. It includes ensemble statistics for precipitation (`pr`), minimum (`tasmin`), and maximum (`tasmax`) temperatures, with each divided into mean, 25th quartile, median, and 75th quartile values. The data, bias-corrected and high-resolution, is intended to assess climate change impacts, and is available via the Google Earth Engine using the provided code snippet. The dataset is public domain.\n"],null,["# NEX-DCP30: Ensemble Stats for NASA Earth Exchange Downscaled Climate Projections\n\nDataset Availability\n: 1950-01-01T00:00:00Z--2099-12-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [NASA / Climate Analytics Group](https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-dcp30)\n\nCadence\n: 1 Month\n\nTags\n:\n[cag](/earth-engine/datasets/tags/cag) [climate](/earth-engine/datasets/tags/climate) [cmip5](/earth-engine/datasets/tags/cmip5) [geophysical](/earth-engine/datasets/tags/geophysical) [ipcc](/earth-engine/datasets/tags/ipcc) [nasa](/earth-engine/datasets/tags/nasa) [nex](/earth-engine/datasets/tags/nex) [precipitation](/earth-engine/datasets/tags/precipitation) [temperature](/earth-engine/datasets/tags/temperature) \n\n#### Description\n\nThe NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios\nfor the conterminous United States that are derived from the General\nCirculation Model (GCM) runs conducted under the Coupled Model\nIntercomparison Project Phase 5 (CMIP5, see [Taylor et al. 2012](https://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-11-00094.1))\nand across the four greenhouse gas emissions scenarios known as\nRepresentative Concentration Pathways (RCPs, see [Meinshausen et al. 2011](https://rd.springer.com/article/10.1007%2Fs10584-011-0156-z#page-1))\ndeveloped for the Fifth Assessment Report of the Intergovernmental Panel\non Climate Change (IPCC AR5). The purpose of these datasets is to provide\na set of high resolution, bias-corrected climate change projections that\ncan be used to evaluate climate change impacts on processes that are\nsensitive to finer-scale climate gradients and the effects of local\ntopography on climate conditions.\n\nThe dataset contains monthly projections covering the periods from 1950\nthrough 2005 (Retrospective Run) and from 2006 to 2099 (Prospective Run).\nIt includes ensemble statistics calculated for each RCP from all model\nruns available for the pr, tasmin, and tasmax bands.\n\nNEX-DCP30 was prepared by the Climate Analytics Group and NASA Ames\nResearch Center using the NASA Earth Exchange, and distributed by the NASA\nCenter for Climate Simulation (NCCS).\n\n### Bands\n\n\n**Pixel Size**\n\n927.67 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|---------------------|-----------|----------|----------|------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `pr_mean` | kg/m\\^2/s | 0\\* | 0.0006\\* | meters | Monthly mean of the daily precipitation rate at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective) |\n| `pr_quartile25` | kg/m\\^2/s | 0\\* | 0.0004\\* | meters | 25th quartile of the precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective) |\n| `pr_median` | kg/m\\^2/s | 0\\* | 0.0006\\* | meters | Median of precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective) |\n| `pr_quartile75` | kg/m\\^2/s | 0\\* | 0.0008\\* | meters | 75th quartile of the precipitation at surface; includes both liquid and solid phases from all types of clouds (both large-scale and convective) |\n| `tasmin_mean` | K | 247.58\\* | 311.09\\* | meters | Monthly mean of the daily-minimum near-surface air temperature |\n| `tasmin_quartile25` | K | 243.28\\* | 310.06\\* | meters | 25th quartile the daily-minimum near-surface air temperature |\n| `tasmin_median` | K | 246.87\\* | 311.12\\* | meters | Median of the daily-minimum near-surface air temperature |\n| `tasmin_quartile75` | K | 248.42\\* | 312.59\\* | meters | 75th quartile of the daily-minimum near-surface air temperature |\n| `tasmax_mean` | K | 258.47\\* | 326.48\\* | meters | Monthly mean of the daily-maximum near-surface air temperature |\n| `tasmax_quartile25` | K | 256.13\\* | 325.52\\* | meters | 25th quartile of the daily-maximum near-surface air temperature |\n| `tasmax_median` | K | 257.89\\* | 326.28\\* | meters | Median of the daily-maximum near-surface air temperature |\n| `tasmax_quartile75` | K | 260.2\\* | 328.2\\* | meters | 75th quartile of the daily-maximum near-surface air temperature |\n\n\\* estimated min or max value\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|----------|--------|----------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| scenario | STRING | Name of the CMIP5 scenario. It is one of: 'historical', 'rcp26', 'rcp45', 'rcp60', 'rcp85', where 'historical' designates retrospective model runs (pre-2006). |\n| month | DOUBLE | Calendar month |\n\n### Terms of Use\n\n**Terms of Use**\n\nThis dataset is in the public domain and is available\nwithout restriction on use and distribution. See [NASA's\nEarth Science Data \\& Information Policy](https://www.earthdata.nasa.gov/engage/open-data-services-and-software/data-and-information-policy)\nfor additional information.\n\n### Citations\n\nCitations:\n\n- Thrasher, B., J. Xiong, W. Wang, F. Melton, A. Michaelis and R. Nemani\n (2013), Downscaled Climate Projections Suitable for Resource Management,\n Eos Trans. AGU, 94(37), 321.\n [doi:10.1002/2013EO370002](https://doi.org/10.1002/2013EO370002)\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('NASA/NEX-DCP30_ENSEMBLE_STATS')\n .filter(ee.Filter.date('2018-07-01', '2018-07-30'));\nvar monthlyMeanMinimumAirTemperature = dataset.select('tasmin_mean');\nvar monthlyMeanMinimumAirTemperatureVis = {\n min: 247.0,\n max: 311.0,\n palette: ['blue', 'purple', 'cyan', 'green', 'yellow', 'red'],\n};\nMap.setCenter(-115.356, 38.686, 5);\nMap.addLayer(\n monthlyMeanMinimumAirTemperature, monthlyMeanMinimumAirTemperatureVis,\n 'Monthly Mean Minimum Air Temperature');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/NASA/NASA_NEX-DCP30_ENSEMBLE_STATS) \n[NEX-DCP30: Ensemble Stats for NASA Earth Exchange Downscaled Climate Projections](/earth-engine/datasets/catalog/NASA_NEX-DCP30_ENSEMBLE_STATS) \nThe NASA NEX-DCP30 dataset is comprised of downscaled climate scenarios for the conterminous United States that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5, see Taylor et al. 2012) and across the four greenhouse gas emissions scenarios known as ... \nNASA/NEX-DCP30_ENSEMBLE_STATS, cag,climate,cmip5,geophysical,ipcc,nasa,nex,precipitation,temperature \n1950-01-01T00:00:00Z/2099-12-01T00:00:00Z \n24.07 -125.03 49.93 -66.47 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://www.nccs.nasa.gov/services/data-collections/land-based-products/nex-dcp30)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/NASA_NEX-DCP30_ENSEMBLE_STATS)"]]
