I set di dati giornalieri e mensili PRISM sono set di dati
climatici a griglia per gli Stati Uniti contigui, prodotti dal
PRISM Climate Group della Oregon State University.
Le griglie sono
sviluppate utilizzando PRISM (Parameter-elevation Regressions on Independent
Slopes Model). Le routine di interpolazione PRISM simulano la variazione del tempo
e del clima in base all'altitudine e tengono conto degli effetti costieri,
delle inversioni termiche e delle barriere del terreno che possono causare
ombre pluviometriche. I dati delle emittenti vengono assimilati da molte emittenti in tutto il paese. Per ulteriori informazioni, consulta le descrizioni dei set di dati climatici spaziali PRISM.
Bande
Dimensioni in pixel 928 metri
Bande
Nome
Unità
Min
Max
Dimensioni dei pixel
Descrizione
ppt
mm
0,03*
1046,09*
metri
Media trentennale delle precipitazioni totali mensili (inclusi pioggia e neve sciolta)
tmean
°C
-16,15*
37,88*
metri
Media trentennale della temperatura media mensile (calcolata come (tmin+tmax)/2)
tmin
°C
-21,9*
29,79*
metri
Media trentennale della temperatura minima mensile
tmax
°C
-10,78*
46,63*
metri
Media trentennale della temperatura massima mensile
tdmean
°C
-19,07*
25,22*
metri
Media trentennale della temperatura del punto di rugiada media mensile
vpdmin
hPa
0*
33.11*
metri
Media trentennale del deficit di pressione di vapore minimo mensile
vpdmax
hPa
0,37*
94,11*
metri
Media trentennale del deficit di pressione di vapore mensile massimo
solclear
MJ m^-2 giorno^-1
metri
Media trentennale della radiazione solare a onde corte globale mensile
ricevuta su una superficie orizzontale in condizioni di cielo sereno
solslope
MJ m^-2 giorno^-1
metri
Media trentennale della radiazione solare a onde corte globale mensile
ricevuta su una superficie inclinata
soltotal
MJ m^-2 giorno^-1
metri
Media trentennale della radiazione solare a onde corte globale mensile
ricevuta su una superficie orizzontale
soltrans
Frazione
metri
Media trentennale della trasmittanza atmosferica (nuvolosità)
* valore minimo o massimo stimato
Proprietà immagini
Proprietà immagine
Nome
Tipo
Descrizione
PRISM_DATASET_CREATE_DATE
STRING_LIST
Elenco delle date di creazione originali per ogni banda, ad es.:
il primo elemento è per la prima banda "ppt", il secondo elemento
è per la seconda banda "tmean"
PRISM_DATASET_TYPE
STRING_LIST
Elenco dei tipi di set di dati per banda
PRISM_CODE_VERSION
STRING_LIST
Elenco delle versioni del codice per banda
PRISM_DATASET_FILENAME
STRING_LIST
Elenco dei nomi file originali per banda
Termini e condizioni d'uso
Termini e condizioni d'uso
Questi set di dati PRISM sono disponibili senza limitazioni
di utilizzo o distribuzione. Il PRISM Climate Group richiede che l'utente fornisca l'attribuzione corretta e identifichi PRISM, ove applicabile, come origine dei dati.
https://prism.oregonstate.edu/terms/
Citazioni
Citazioni:
Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K.,
Taylor, G.H., Curtis, J. e Pasteris, P.A. 2008. Mappatura sensibile alla fisiografia
di temperatura e precipitazioni negli Stati Uniti contigui. International Journal of Climatology, 28: 2031-2064
doi:10.1002/joc.1688pdf.
[Daly, C., J.I. Smith e K.V. Olson. 2015. Mappatura delle climatologie dell'umidità atmosferica negli Stati Uniti contigui. PloS
ONE 10(10):e0141140.
doi:10.1371/journal.pone.0141140.
I set di dati giornalieri e mensili PRISM sono set di dati climatici a griglia per gli Stati Uniti contigui, prodotti dal PRISM Climate Group della Oregon State University. Le griglie vengono sviluppate utilizzando PRISM (Parameter-elevation Regressions on Independent Slopes Model). Le routine di interpolazione PRISM simulano la variazione del tempo e del clima in base all'altitudine e tengono conto di…
[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)"]]
