Die täglichen und monatlichen PRISM-Datasets sind gerasterte Klimadatasets für die kontinentalen USA, die von der PRISM Climate Group an der Oregon State University erstellt werden.
Die Raster werden mit PRISM (Parameter-elevation Regressions on Independent Slopes Model) entwickelt. PRISM-Interpolationsroutinen simulieren, wie sich Wetter und Klima mit der Höhe verändern, und berücksichtigen Küsteneffekte, Temperaturinversionen und Geländebarrieren, die zu Regenschatten führen können. Stationsdaten werden aus vielen Netzwerken im ganzen Land zusammengeführt. Weitere Informationen finden Sie unter Descriptions of PRISM Spatial Climate Datasets.
Bänder
Pixelgröße 928 Meter
Bänder
Name
Einheiten
Min.
Max.
Pixelgröße
Beschreibung
ppt
mm
0,03*
1046.09*
Meter
30-Jahres-Durchschnitt der monatlichen Gesamtniederschlagsmenge (einschließlich Regen und geschmolzenem Schnee)
tmean
°C
–16,15*
37,88*
Meter
30-Jahres-Durchschnitt der monatlichen Durchschnittstemperatur (berechnet als (tmin+tmax)/2)
tmin
°C
–21,9*
29,79*
Meter
30-Jahres-Durchschnitt der monatlichen Mindesttemperatur
tmax
°C
–10,78*
46,63*
Meter
30-Jahres-Durchschnitt der monatlichen Höchsttemperatur
tdmean
°C
–19,07*
25,22*
Meter
30-Jahres-Durchschnitt der monatlichen mittleren Taupunkttemperatur
vpdmin
hPa
0*
33.11*
Meter
30-Jahres-Durchschnitt des monatlichen Mindestdampfdruckdefizits
vpdmax
hPa
0,37*
94.11*
Meter
30‑jähriger Durchschnitt des monatlichen maximalen Dampfdruckdefizits
solclear
MJ m^-2 Tag^-1
Meter
30-Jahres-Durchschnitt der monatlichen globalen kurzwelligen Sonneneinstrahlung auf einer horizontalen Fläche bei klarem Himmel
solslope
MJ m^-2 Tag^-1
Meter
30-Jahres-Durchschnitt der monatlichen globalen kurzwelligen Sonneneinstrahlung auf einer geneigten Oberfläche
soltotal
MJ m^-2 Tag^-1
Meter
30-Jahres-Durchschnitt der monatlichen globalen kurzwelligen Solarstrahlung, die auf einer horizontalen Fläche empfangen wird
soltrans
Bruch
Meter
30-Jahres-Durchschnitt der atmosphärischen Transmission (Bewölkung)
* geschätzter Mindest- oder Höchstwert
Bildattribute
Bildattribute
Name
Typ
Beschreibung
PRISM_DATASET_CREATE_DATE
STRING_LIST
Liste der ursprünglichen Erstellungsdaten für die einzelnen Bänder, z. B.: Das erste Element ist für das erste Band „ppt“, das zweite Element für das zweite Band „tmean“.
PRISM_DATASET_TYPE
STRING_LIST
Liste der Dataset-Typen pro Band
PRISM_CODE_VERSION
STRING_LIST
Liste der Codeversionen pro Band
PRISM_DATASET_FILENAME
STRING_LIST
Liste der ursprünglichen Dateinamen pro Band
Nutzungsbedingungen
Nutzungsbedingungen
Diese PRISM-Datasets sind ohne Einschränkungen hinsichtlich Nutzung oder Verteilung verfügbar. Die PRISM Climate Group bittet darum, dass der Nutzer die Quelle der Daten, sofern zutreffend, ordnungsgemäß angibt und PRISM als Quelle nennt. https://prism.oregonstate.edu/terms/
Zitate
Quellenangaben:
Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K.,
Taylor, G.H., Curtis, J. und Pasteris, P.A. 2008. Physiografisch sensible Kartierung von Temperatur und Niederschlag in den angrenzenden Vereinigten Staaten. International Journal of Climatology, 28: 2031–2064
doi:10.1002/joc.1688pdf.
[Daly, C., J.I. Smith und K.V. Olson. 2015. Kartierung der Klimatologien der atmosphärischen Feuchtigkeit in den angrenzenden Vereinigten Staaten. PloS
ONE 10(10):e0141140.
doi:10.1371/journal.pone.0141140.
Die täglichen und monatlichen PRISM-Datasets sind gerasterte Klimadatasets für die kontinentalen USA, die von der PRISM Climate Group an der Oregon State University erstellt werden. Die Raster werden mit PRISM (Parameter-elevation Regressions on Independent Slopes Model) entwickelt. PRISM-Interpolationsroutinen simulieren, wie sich Wetter und Klima mit der Höhe verändern, und berücksichtigen …
[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)"]]
