PERSIANN-CDR to codzienne dane o opadach na całym świecie, które obejmują okres od 1 stycznia 1983 r. do dziś. Dane są generowane co kwartał, zwykle z 3-miesięcznym opóźnieniem. Produkt został opracowany przez Center for Hydrometeorology and Remote Sensing na Uniwersytecie Kalifornijskim w Irvine (UC-IRVINE/CHRS) przy użyciu danych IR z siatki satelitarnej (GridSat-B1), które pochodzą z połączenia danych IR ISCCP B1 oraz GPCP w wersji 2.2.
Pasma
Rozmiar piksela 27830 m
Pasma
Nazwa
Jednostki
Minimum
Maks.
Rozmiar piksela
Opis
precipitation
mm
0*
718,62*
metry
Szacunkowe dzienne opady
* szacowana wartość minimalna lub maksymalna
Warunki korzystania z usługi
Warunki korzystania z usługi
Zbiory danych CDR nie są objęte prawem własności, są publicznie dostępne i nie podlegają żadnym ograniczeniom w zakresie ich wykorzystania. Więcej informacji znajdziesz w dokumencie Fair Use of NOAA's CDR Data Sets, Algorithms and Documentation (w języku angielskim).
Cytaty
Cytowania:
Podaj źródło tego zbioru danych: Sorooshian, Soroosh; Hsu, Kuolin; Braithwaite, Dan; Ashouri, Hamed; and NOAA CDR Program (2014): NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. [indicate subset used]. NOAA
National Centers for Environmental Information. doi:
doi:10.7289/V51V5BWQ
[data dostępu].
Publikacje korzystające z tego zbioru danych powinny też cytować ten artykuł: Ashouri H., K. Hsu, S. Sorooshian, D. K. Braithwaite,
K. R. Knapp, L. D. Cecil, B. R. Nelson, i O. P. Prat, 2015: PERSIANN-CDR:
Daily Precipitation Climate Data Record from Multi-Satellite Observations
for Hydrological and Climate Studies. Byk. Amer. Meteor. Soc.,
doi:10.1175/BAMS-D-13-00068.1.
PERSIANN-CDR to produkt dotyczący opadów o charakterze quasi-globalnym, który jest aktualizowany codziennie i obejmuje okres od 1 stycznia 1983 r. do dziś. Dane są generowane co kwartał, zwykle z 3-miesięcznym opóźnieniem. Produkt został opracowany przez Center for Hydrometeorology and Remote Sensing na Uniwersytecie Kalifornijskim w Irvine (UC-IRVINE/CHRS) przy użyciu danych z satelitów w siatce (GridSat-B1) …
[null,null,[],[[["\u003cp\u003ePERSIANN-CDR provides daily, quasi-global precipitation data from 1983 to the present, produced by UC Irvine using satellite data.\u003c/p\u003e\n"],["\u003cp\u003eThe data is available at a 27.83 km resolution and represents estimated daily precipitation in millimeters.\u003c/p\u003e\n"],["\u003cp\u003ePERSIANN-CDR is a Climate Data Record (CDR) and is freely available for use with no restrictions.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is updated quarterly with a typical lag of three months.\u003c/p\u003e\n"],["\u003cp\u003eIt is accessible through Google Earth Engine and can be explored using provided code snippets.\u003c/p\u003e\n"]]],["The NOAA PERSIANN-CDR dataset provides daily, quasi-global precipitation data from 1983-01-01 to 2024-03-31, updated quarterly. This product, created by UC-IRVINE/CHRS, uses Gridded Satellite IR data and GPCP version 2.2. Data is available via the NOAA NCDC, and Earth Engine, as an ImageCollection, using 'precipitation' data, with a pixel size of 27830 meters. Users are encouraged to cite provided publications and DOIs when using this freely available dataset.\n"],null,["# PERSIANN-CDR: Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record\n\nDataset Availability\n: 1983-01-01T00:00:00Z--2024-09-30T00:00:00Z\n\nDataset Provider\n:\n\n\n [NOAA NCDC](https://doi.org/10.7289/V51V5BWQ)\n\nCadence\n: 1 Day\n\nTags\n:\n [cdr](/earth-engine/datasets/tags/cdr) [climate](/earth-engine/datasets/tags/climate) [geophysical](/earth-engine/datasets/tags/geophysical) [noaa](/earth-engine/datasets/tags/noaa) [precipitation](/earth-engine/datasets/tags/precipitation) [weather](/earth-engine/datasets/tags/weather) \n ncdc \npersiann \n\n#### Description\n\nPERSIANN-CDR is a daily quasi-global precipitation product\nthat spans the period from 1983-01-01 to present. The data is\nproduced quarterly, with a typical lag of three months. The product\nis developed by the Center for Hydrometeorology and Remote Sensing\nat the University of California, Irvine (UC-IRVINE/CHRS) using\nGridded Satellite (GridSat-B1) IR data that are derived from merging\nISCCP B1 IR data, along with GPCP version 2.2.\n\n### Bands\n\n\n**Pixel Size**\n\n27830 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|-----------------|-------|-----|----------|------------|-------------------------------|\n| `precipitation` | mm | 0\\* | 718.62\\* | meters | Estimated daily precipitation |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\nCDR data sets are nonproprietary, publicly available,\nand no restrictions are placed upon their use. For additional information,\nsee the [Fair Use of NOAA's CDR Data Sets, Algorithms and Documentation](https://www.ncdc.noaa.gov/sites/default/files/cdr-documentation/UseAgreement_0.pdf)\ndocument.\n\n### Citations\n\nCitations:\n\n- Cite this dataset when used as a source: Sorooshian, Soroosh;\n Hsu, Kuolin; Braithwaite, Dan; Ashouri, Hamed; and NOAA CDR Program\n (2014): NOAA Climate Data Record (CDR) of Precipitation Estimation\n from Remotely Sensed Information using Artificial Neural Networks\n (PERSIANN-CDR), Version 1 Revision 1. \\[indicate subset used\\]. NOAA\n National Centers for Environmental Information. doi:\n [doi:10.7289/V51V5BWQ](https://doi.org/10.7289/V51V5BWQ)\n \\[access date\\].\n- Publications using this dataset should also cite the following\n journal article: Ashouri H., K. Hsu, S. Sorooshian, D. K. Braithwaite,\n K. R. Knapp, L. D. Cecil, B. R. Nelson, and O. P. Prat, 2015: PERSIANN-CDR:\n Daily Precipitation Climate Data Record from Multi-Satellite Observations\n for Hydrological and Climate Studies. Bull. Amer. Meteor. Soc.,\n [doi:10.1175/BAMS-D-13-00068.1](https://doi.org/10.1175/BAMS-D-13-00068.1).\n\n### DOIs\n\n- \u003chttps://doi.org/10.1175/BAMS-D-13-00068.1\u003e\n- \u003chttps://doi.org/10.7289/V51V5BWQ\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('NOAA/PERSIANN-CDR')\n .filter(ee.Filter.date('2017-05-01', '2017-05-02'));\nvar precipitation = dataset.select('precipitation');\nvar precipitationVis = {\n min: 0.0,\n max: 50.0,\n palette: ['3907ff', '03fff3', '28ff25', 'fbff09', 'ff1105'],\n};\nMap.setCenter(113.03, 3.34, 3);\nMap.addLayer(precipitation, precipitationVis, 'Precipitation');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/NOAA/NOAA_PERSIANN-CDR) \n[PERSIANN-CDR: Precipitation Estimation From Remotely Sensed Information Using Artificial Neural Networks-Climate Data Record](/earth-engine/datasets/catalog/NOAA_PERSIANN-CDR) \nPERSIANN-CDR is a daily quasi-global precipitation product that spans the period from 1983-01-01 to present. The data is produced quarterly, with a typical lag of three months. The product is developed by the Center for Hydrometeorology and Remote Sensing at the University of California, Irvine (UC-IRVINE/CHRS) using Gridded Satellite (GridSat-B1) ... \nNOAA/PERSIANN-CDR, cdr,climate,geophysical,noaa,precipitation,weather \n1983-01-01T00:00:00Z/2024-09-30T00:00:00Z \n-60 -180 60 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.7289/V51V5BWQ](https://doi.org/https://doi.org/10.7289/V51V5BWQ)\n- [https://doi.org/10.7289/V51V5BWQ](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/NOAA_PERSIANN-CDR)"]]
