PRISM günlük ve aylık veri kümeleri, Oregon State University'deki PRISM Climate Group tarafından üretilen, ABD'nin bitişik eyaletleri için ızgaralı iklim veri kümeleridir.
Izgaralar, PRISM (Parameter-elevation Regressions on Independent Slopes Model) kullanılarak geliştirilir. PRISM enterpolasyon rutinleri, hava durumu ve iklimin yüksekliğe göre nasıl değiştiğini simüle eder ve kıyı etkilerini, sıcaklık inversiyonlarını ve yağmur gölgesi oluşturabilecek arazi engellerini hesaba katar. İstasyon verileri, ülke genelindeki birçok ağdan alınır. Daha fazla bilgi için Descriptions of PRISM
Spatial Climate Datasets (PRISM Mekansal İklim Veri Kümelerinin Açıklamaları) başlıklı makaleyi inceleyin.
Bantlar
Piksel Boyutu 928 metre
Bantlar
Ad
Birimler
Min.
Maks.
Piksel Boyutu
Açıklama
ppt
mm
0,03*
1046,09*
metre
Aylık toplam yağışın (yağmur ve erimiş kar dahil) 30 yıllık ortalaması
tmean
°C
-16,15*
37,88*
metre
Aylık ortalama sıcaklığın 30 yıllık ortalaması (tmin+tmax)/2 olarak hesaplanır)
tmin
°C
-21,9*
29,79*
metre
Aylık minimum sıcaklığın 30 yıllık ortalaması
tmax
°C
-10,78*
46,63*
metre
Aylık en yüksek sıcaklığın 30 yıllık ortalaması
tdmean
°C
-19,07*
25,22*
metre
Aylık ortalama çiy noktası sıcaklığının 30 yıllık ortalaması
vpdmin
hPa
0*
33.11*
metre
Aylık minimum buhar basıncı açığının 30 yıllık ortalaması
vpdmax
hPa
0,37*
94,11*
metre
Aylık maksimum buhar basıncı açığının 30 yıllık ortalaması
solclear
MJ m^-2 day^-1
metre
30 yıllık ortalama aylık küresel kısa dalga güneş radyasyonu
açık hava koşullarında yatay bir yüzeyde alınır
solslope
MJ m^-2 day^-1
metre
Eğimli bir yüzeyde alınan aylık küresel kısa dalga güneş radyasyonunun 30 yıllık ortalaması
soltotal
MJ m^-2 day^-1
metre
Yatay bir yüzeyde alınan aylık küresel kısa dalga güneş radyasyonunun 30 yıllık ortalaması
soltrans
Kesir
metre
Atmosferik geçirgenliğin (bulutluluk) 30 yıllık ortalaması
* tahmini minimum veya maksimum değer
Resim Özellikleri
Resim Özellikleri
Ad
Tür
Açıklama
PRISM_DATASET_CREATE_DATE
STRING_LIST
Her bant için orijinal oluşturma tarihlerinin listesi. Örneğin:
İlk öğe ilk bant "ppt" içindir, ikinci öğe ikinci bant "tmean" içindir.
PRISM_DATASET_TYPE
STRING_LIST
Bant başına veri kümesi türlerinin listesi
PRISM_CODE_VERSION
STRING_LIST
Bant başına kod sürümlerinin listesi
PRISM_DATASET_FILENAME
STRING_LIST
Bant başına orijinal dosya adlarının listesi
Kullanım Şartları
Kullanım Şartları
Bu PRISM veri kümeleri, kullanım veya dağıtım konusunda herhangi bir kısıtlama olmaksızın kullanılabilir. PRISM Climate Group, kullanıcının uygun atıfta bulunmasını ve geçerli olduğu durumlarda PRISM'i veri kaynağı olarak tanımlamasını ister.
https://prism.oregonstate.edu/terms/
Alıntılar
Alıntılar:
Daly, C., Halbleib, M., Smith, J.I., Gibson, W.P., Doggett, M.K.,
Taylor, G.H., Curtis, J. ve Pasteris, P.A. 2008. ABD'nin bitişik bölgelerindeki sıcaklık ve yağışın fizyografik olarak hassas şekilde haritalandırılması. International Journal of Climatology, 28: 2031-2064
doi:10.1002/joc.1688pdf.
[Daly, C., J.I. Smith ve K.V. Olson. 2015. ABD'nin bitişik eyaletlerindeki atmosferik nem klimatolojilerini haritalama. PloS
ONE 10(10):e0141140.
doi:10.1371/journal.pone.0141140.
PRISM günlük ve aylık veri kümeleri, Oregon State Üniversitesi'ndeki PRISM Climate Group tarafından üretilen, ABD'nin bitişik eyaletleri için ızgaralı iklim veri kümeleridir. Izgaralar, PRISM (Bağımsız Eğimler Modelinde Parametre-Yükseklik Regresyonları) kullanılarak geliştirilir. PRISM enterpolasyon rutinleri, hava durumu ve iklimin yüksekliğe göre nasıl değiştiğini simüle eder ve …
[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)"]]
