Os conjuntos de dados diários e mensais do PRISM são conjuntos de dados climáticos em grade para os Estados Unidos contíguos, produzidos pelo PRISM Climate Group da Oregon State University.
As grades são desenvolvidas usando o PRISM (Parameter-elevation Regressions on Independent Slopes Model). As rotinas de interpolação do PRISM simulam como o clima varia com a elevação e consideram os efeitos costeiros, as inversões de temperatura e as barreiras de terreno que podem causar sombras de chuva. Os dados das estações são assimilados de muitas redes em todo o país. Para mais informações, consulte as Descrições dos conjuntos de dados climáticos espaciais do PRISM.
Bandas
Tamanho do pixel 928 metros
Bandas
Nome
Unidades
Mín.
Máx.
Tamanho do pixel
Descrição
ppt
mm
0,03*
1046.09*
metros
Média de 30 anos da precipitação total mensal (incluindo chuva e neve derretida)
tmean
°C
-16,15*
37,88*
metros
Média de 30 anos da temperatura média mensal (calculada como (tmin+tmax)/2)
tmin
°C
-21,9*
29,79*
metros
Média de 30 anos da temperatura mínima mensal
tmax
°C
-10,78*
46,63*
metros
Média de 30 anos da temperatura máxima mensal
tdmean
°C
-19,07*
25,22*
metros
Média de 30 anos da temperatura média mensal do ponto de condensação
vpdmin
hPa
0*
33.11*
metros
Média de 30 anos do déficit mínimo mensal de pressão de vapor
vpdmax
hPa
0,37*
94,11*
metros
Média de 30 anos do déficit máximo mensal de pressão de vapor
solclear
MJ m^-2 dia^-1
metros
Média de 30 anos da radiação solar global de ondas curtas mensais recebida em uma superfície horizontal em condições de céu claro
solslope
MJ m^-2 dia^-1
metros
Média de 30 anos da radiação solar global de ondas curtas mensais recebida em uma superfície inclinada
soltotal
MJ m^-2 dia^-1
metros
Média de 30 anos da radiação solar de ondas curtas global mensal recebida em uma superfície horizontal
soltrans
Fração
metros
Média de 30 anos de transmitância atmosférica (nebulosidade)
* valor mínimo ou máximo estimado
Propriedades de imagens
Propriedades da imagem
Nome
Tipo
Descrição
PRISM_DATASET_CREATE_DATE
STRING_LIST
Lista de datas de criação originais para cada banda. Por exemplo, o primeiro elemento é para a primeira banda "ppt", o segundo elemento é para a segunda banda "tmean".
PRISM_DATASET_TYPE
STRING_LIST
Lista de tipos de conjuntos de dados por banda
PRISM_CODE_VERSION
STRING_LIST
Lista de versões de código por banda
PRISM_DATASET_FILENAME
STRING_LIST
Lista de nomes de arquivos originais por banda
Termos de Uso
Termos de Uso
Esses conjuntos de dados do PRISM estão disponíveis sem restrições de uso ou distribuição. O PRISM Climate Group pede que o usuário faça a atribuição adequada e identifique o PRISM, quando aplicável, como a fonte dos dados. https://prism.oregonstate.edu/terms/
Citações
Citações:
Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K.,
Taylor, G.H., Curtis, J., and Pasteris, P.A. 2008. Mapeamento sensível à fisiografia da temperatura e da precipitação nos Estados Unidos contíguos. International Journal of Climatology, 28: 2031-2064
doi:10.1002/joc.1688pdf.
[Daly, C., J.I. Smith e K.V. Olson. 2015. Mapeamento de climatologias de umidade atmosférica nos Estados Unidos continentais. PloS
ONE 10(10):e0141140.
doi:10.1371/journal.pone.0141140.
Os conjuntos de dados diários e mensais do PRISM são conjuntos de dados climáticos em grade para os Estados Unidos contíguos, produzidos pelo PRISM Climate Group da Oregon State University. As grades são desenvolvidas usando o PRISM (Parameter-elevation Regressions on Independent Slopes Model). As rotinas de interpolação do PRISM simulam como o clima varia com a elevação e consideram…
[null,null,[],[[["\u003cp\u003eThe PRISM Norm91m dataset provides 30-year average monthly climate data for the conterminous United States, including precipitation, temperature, and solar radiation.\u003c/p\u003e\n"],["\u003cp\u003eDeveloped by the PRISM Climate Group at Oregon State University, it utilizes the PRISM interpolation method which accounts for terrain and coastal effects for higher accuracy.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset has a spatial resolution of 928 meters and covers the period from 1991 to 2020.\u003c/p\u003e\n"],["\u003cp\u003eIt is freely available for use with proper attribution to PRISM.\u003c/p\u003e\n"],["\u003cp\u003eYou can access and analyze this dataset using Google Earth Engine.\u003c/p\u003e\n"]]],["The PRISM Climate Group at Oregon State University provides gridded climate datasets for the contiguous U.S. from 1991 to 2020, available via the Earth Engine platform. These datasets, generated using the PRISM model, include 30-year averages of monthly precipitation, temperature (mean, min, max), dew point, vapor pressure deficit, and solar radiation metrics at 928-meter pixel resolution. Data can be accessed with code snippet provided, and used with proper attribution.\n"],null,["# PRISM Long-Term Average Climate Dataset Norm91m\n\nDataset Availability\n: 1991-01-01T00:00:00Z--2020-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [PRISM / OREGONSTATE](https://www.prism.oregonstate.edu/)\n\nClimatological Interval\n: 1 Month\n\nTags\n:\n [climate](/earth-engine/datasets/tags/climate) [geophysical](/earth-engine/datasets/tags/geophysical) [oregonstate](/earth-engine/datasets/tags/oregonstate) [precipitation](/earth-engine/datasets/tags/precipitation) [pressure](/earth-engine/datasets/tags/pressure) [prism](/earth-engine/datasets/tags/prism) [temperature](/earth-engine/datasets/tags/temperature) [vapor](/earth-engine/datasets/tags/vapor) [weather](/earth-engine/datasets/tags/weather) \n30-year \n\n#### Description\n\nThe PRISM daily and monthly datasets are gridded climate\ndatasets for the conterminous United States, produced by the\nPRISM Climate Group at Oregon State University.\n\nGrids are\ndeveloped using PRISM (Parameter-elevation Regressions on Independent\nSlopes Model). PRISM interpolation routines simulate how weather\nand climate vary with elevation, and account for coastal effects,\ntemperature inversions, and terrain barriers that can cause rain\nshadows. Station data are assimilated from many networks across\nthe country. For more information, see the [Descriptions of PRISM\nSpatial Climate Datasets](https://www.prism.oregonstate.edu/documents/PRISM_datasets.pdf).\n\n### Bands\n\n\n**Pixel Size**\n\n928 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|------------|------------------|----------|-----------|------------|-------------------------------------------------------------------------------------------------------------------------|\n| `ppt` | mm | 0.03\\* | 1046.09\\* | meters | 30-year average of monthly total precipitation (including rain and melted snow) |\n| `tmean` | °C | -16.15\\* | 37.88\\* | meters | 30-year average of monthly mean temperature (calculated as (tmin+tmax)/2) |\n| `tmin` | °C | -21.9\\* | 29.79\\* | meters | 30-year average of monthly minimum temperature |\n| `tmax` | °C | -10.78\\* | 46.63\\* | meters | 30-year average of monthly maximum temperature |\n| `tdmean` | °C | -19.07\\* | 25.22\\* | meters | 30-year average of monthly mean dew point temperature |\n| `vpdmin` | hPa | 0\\* | 33.11\\* | meters | 30-year average of monthly minimum vapor pressure deficit |\n| `vpdmax` | hPa | 0.37\\* | 94.11\\* | meters | 30-year average of monthly maximum vapor pressure deficit |\n| `solclear` | MJ m\\^-2 day\\^-1 | | | meters | 30-year average of monthly global shortwave solar radiation received on a horizontal surface under clear sky conditions |\n| `solslope` | MJ m\\^-2 day\\^-1 | | | meters | 30-year average of monthly global shortwave solar radiation received on a sloped surface |\n| `soltotal` | MJ m\\^-2 day\\^-1 | | | meters | 30-year average of monthly global shortwave solar radiation received on a horizontal surface |\n| `soltrans` | Fraction | | | meters | 30-year average of atmospheric transmittance (cloudiness) |\n\n\\* estimated min or max value\n\n### Image Properties\n\n**Image Properties**\n\n| Name | Type | Description |\n|---------------------------|-------------|------------------------------------------------------------------------------------------------------------------------------------------------------|\n| PRISM_DATASET_CREATE_DATE | STRING_LIST | List of original creation dates for each band, e.g: the first element is for the first band \"ppt\", the second element is for the second band \"tmean\" |\n| PRISM_DATASET_TYPE | STRING_LIST | List of dataset types per-band |\n| PRISM_CODE_VERSION | STRING_LIST | List of code versions per-band |\n| PRISM_DATASET_FILENAME | STRING_LIST | List of original filenames per-band |\n\n### Terms of Use\n\n**Terms of Use**\n\nThese PRISM datasets are available without restriction\non use or distribution. PRISM Climate Group does request that the\nuser give proper attribution and identify PRISM, where applicable,\nas the source of the data.\n\u003chttps://prism.oregonstate.edu/terms/\u003e\n\n### Citations\n\nCitations:\n\n- Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K.,\n Taylor, G.H., Curtis, J., and Pasteris, P.A. 2008. Physiographically-sensitive\n mapping of temperature and precipitation across the conterminous\n United States. International Journal of Climatology, 28: 2031-2064\n [doi:10.1002/joc.1688](https://doi.org/10.1002/joc.1688)\n [pdf](https://www.prism.oregonstate.edu/documents/pubs/2008intjclim_physiographicMapping_daly.pdf).\n- \\[Daly, C., J.I. Smith, and K.V. Olson. 2015. Mapping atmospheric\n moisture climatologies across the conterminous United States. PloS\n ONE 10(10):e0141140.\n [doi:10.1371/journal.pone.0141140](https://doi.org/10.1371/journal.pone.0141140).\n\n### DOIs\n\n- \u003chttps://doi.org/10.1371/journal.pone.0141140\u003e\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('OREGONSTATE/PRISM/Norm91m');\nvar precipitation = dataset.select('ppt');\nvar precipitationVis = {\n min: 0.0,\n max: 300.0,\n palette: ['red', 'yellow', 'green', 'cyan', 'purple'],\n};\nMap.setCenter(-100.55, 40.71, 0);\nMap.addLayer(precipitation, precipitationVis, 'Precipitation');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/OREGONSTATE/OREGONSTATE_PRISM_Norm91m) \n[PRISM Long-Term Average Climate Dataset Norm91m](/earth-engine/datasets/catalog/OREGONSTATE_PRISM_Norm91m) \nThe PRISM daily and monthly datasets are gridded climate datasets for the conterminous United States, produced by the PRISM Climate Group at Oregon State University. Grids are developed using PRISM (Parameter-elevation Regressions on Independent Slopes Model). PRISM interpolation routines simulate how weather and climate vary with elevation, and account for ... \nOREGONSTATE/PRISM/Norm91m, climate,geophysical,oregonstate,precipitation,pressure,prism,temperature,vapor,weather \n1991-01-01T00:00:00Z/2020-12-31T00:00:00Z \n24 -125 50 -66 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1371/journal.pone.0141140](https://doi.org/https://www.prism.oregonstate.edu/)\n- [https://doi.org/10.1371/journal.pone.0141140](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/OREGONSTATE_PRISM_Norm91m)"]]
