Los conjuntos de datos diarios y mensuales de PRISM son conjuntos de datos climáticos discretizados para la zona contigua de Estados Unidos, producidos por el PRISM Climate Group de la Oregon State University.
Las cuadrículas se desarrollan con PRISM (Parameter-elevation Regressions on Independent Slopes Model). Las rutinas de interpolación de PRISM simulan cómo varían el clima y el tiempo con la elevación, y tienen en cuenta los efectos costeros, las inversiones de temperatura y las barreras del terreno que pueden causar sombras de lluvia. Los datos de las estaciones se asimilan de muchas redes en todo el país. Para obtener más información, consulta las Descripciones de los conjuntos de datos climáticos espaciales de PRISM.
Bandas
Tamaño del píxel 928 metros
Bandas
Nombre
Unidades
Mín.
Máx.
Tamaño de los píxeles
Descripción
ppt
mm
0.03*
1046.09*
metros
Promedio de 30 años de la precipitación total mensual (incluidas la lluvia y la nieve derretida)
tmean
°C
-16.15*
37.88*
metros
Promedio de 30 años de la temperatura media mensual (calculado como (Tmin + Tmax)/2)
tmin
°C
-21.9*
29.79*
metros
Promedio de 30 años de la temperatura mínima mensual
tmax
°C
-10.78*
46.63*
metros
Promedio de 30 años de la temperatura máxima mensual
tdmean
°C
-19.07*
25.22*
metros
Promedio de 30 años de la temperatura media mensual del punto de condensación
vpdmin
hPa
0*
33.11*
metros
Promedio de 30 años del déficit mínimo mensual de presión de vapor
vpdmax
hPa
0.37*
94.11*
metros
Promedio de 30 años del déficit máximo de presión de vapor mensual
solclear
MJ m⁻² d⁻¹
metros
Promedio de 30 años de la radiación solar de onda corta global mensual recibida en una superficie horizontal en condiciones de cielo despejado
solslope
MJ m⁻² d⁻¹
metros
Promedio de 30 años de la radiación solar de onda corta global mensual recibida en una superficie inclinada
soltotal
MJ m⁻² d⁻¹
metros
Promedio de 30 años de la radiación solar de onda corta global mensual recibida en una superficie horizontal
soltrans
Fracción
metros
Promedio de 30 años de la transmitancia atmosférica (nubosidad)
* Valor mínimo o máximo estimado
Propiedades de imágenes
Propiedades de la imagen
Nombre
Tipo
Descripción
PRISM_DATASET_CREATE_DATE
STRING_LIST
Lista de fechas de creación originales para cada banda, p. ej.: el primer elemento es para la primera banda "ppt", el segundo elemento es para la segunda banda "tmean".
PRISM_DATASET_TYPE
STRING_LIST
Lista de tipos de conjuntos de datos por banda
PRISM_CODE_VERSION
STRING_LIST
Lista de versiones de código por banda
PRISM_DATASET_FILENAME
STRING_LIST
Lista de nombres de archivos originales por banda
Condiciones de Uso
Condiciones de Uso
Estos conjuntos de datos de PRISM están disponibles sin restricciones de uso ni distribución. El PRISM Climate Group solicita que el usuario proporcione la atribución adecuada y que identifique a PRISM, cuando corresponda, como la fuente de los datos.
https://prism.oregonstate.edu/terms/
Citas
Citas:
Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K.,
Taylor, G.H., Curtis, J., and Pasteris, P.A. 2008. Mapeo de temperatura y precipitación sensible a la fisiografía en todo Estados Unidos contiguo. International Journal of Climatology, 28: 2031-2064
doi:10.1002/joc.1688pdf.
[Daly, C., J.I. Smith y K.V. Olson. 2015. Se mapean las climatologías de humedad atmosférica en todo el territorio continental de Estados Unidos. PloS
ONE 10(10):e0141140.
doi:10.1371/journal.pone.0141140.
Los conjuntos de datos diarios y mensuales de PRISM son conjuntos de datos climáticos discretizados para la zona contigua de Estados Unidos, producidos por el PRISM Climate Group de la Universidad Estatal de Oregón. Las cuadrículas se desarrollan con PRISM (Parameter-elevation Regressions on Independent Slopes Model). Las rutinas de interpolación de PRISM simulan cómo varían el clima y el tiempo con la elevación, y tienen en cuenta…
[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)"]]
