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"en": "Municipality borders, attribute data includes the number and the name of the municipality in Finnish and Swedish. Additionally the dataset includes separate Shape-files about counties and Regional State Administrative Agency borders. \r\n\r\nCoordinate Reference System: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
"fi": "Kuntarajat, ominaisuustiedot sisältävät kuntanumeron ja kunnan nimen suomeksi ja ruotsiksi. Aineisto sisältää erilliset tiedostot myös maakunta- ja aluehallintovirastojen rajoista. \r\n\r\nKoordinaattijärjestelmä: ETRS-TM35FIN (EPSG:3067)"
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"en": "The number of population on the last day of the reference year (31 December) by age group. Data includes only inhabited grids. The statistical variables of the data are: Total population (vaesto), number of men (miehet) and women (naiset), under 15 year-olds (ika_0_14), 15-64 year-olds (ika_15_64), and aged over 65 (ika_65_). A grid identifier is expressed using a national identification code derived from the coordinates (idD_nro (num)) and INSPIREs standard identification code (grd_id (char)). The data also contains the coordinates of the lower left-hand corner of a grid (xkoord, ykoord (num)). The data describes the population distribution independent of administrative areas (such as municipal borders). The data is suitable for examination of population distribution and making various spatial analysis.\r\n\r\nThe data format has been changed to Shape at CSC. \r\n\r\nCoordinate Reference System: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
"fi": "Väestön lukumäärä viitevuoden viimeisenä päivänä (31.12) ikäryhmittäin. Aineisto sisältää vain asutut ruudut. Aineiston tilastomuuttujia ovat: väestömäärä yhteensä (vaesto), miesten (miehet) ja naisten (naiset) lukumäärä, alle 15-vuotiaat (ika_0_14), 15-64 -vuotiaat (ika_15_64) ja 65 vuotta täyttäneet (ika_65_). Alle 10 asukkaan ruuduista ilmoitetaan vain väestömäärä. Ruudun tunniste ilmoitetaan koordinaateista johdetulla kansallisella identifiointitunnuksella (id_nro (num)) sekä INSPIRE:n standardilla identifiointitunnuksella (grd_id (char)). Aineisto sisältää myös ruudun vasemman alanurkan koordinaatit (xkoord, ykoord (num)). Aineisto kuvaa väestömäärää ruuduittain hallinnollisista aluejaoista (esim. kuntarajoista) riippumatta. Aineisto soveltuu väestöjakauman tarkasteluun ja erilaisten alueellisten analyysien tekemiseen.\r\n\r\nMuunnos Shape formaattiin on tehty CSC:llä. \r\n\r\nKoordinaattijärjestelmä: ETRS-TM35FIN (EPSG:3067)"
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"fi": "ei kielellistä sisältöä",
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}
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{
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"en": "Climatological monthly mean temperature and precipitation for the SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5 scenarios for Finland over the period 1975-2085. Ensemble mean of 28 CMIP6 GCMs.\n\nTime step = 1 month\n\nUnit, temperature= Celsius degree (°C)\n\nUnit, precipitation = Millimetres (mm)\n\nScenario_data = Shared Socio-economic Pathways SSP1-2.6, SSP2-4.5, SSP3-7.0 ja SSP5-8.5. Gridded time series of running 30-year averages derived from 28 CMIP6 GCMs, Ruosteenoja and Jylhä (2021), Geophysica, 56, 39-69.\n\nBaseline_period = 1991-2020\n\nBaseline_data = FMI ClimGrid, Aalto et al. (2016), doi:10.1002/2015JD024651\n\nType of data:\nX,Y,KUNTA,MKUNTA,HP,AIKA,T_126,T_245,T_370,T_585,R_126,R_245,R_370,R_585\n\n238689.8723,6631775.141,Kemiönsaari,Varsinais-Suomi,1,1975-01-01,-2.1487,-2.2384,-2.1461,-2.1527,47.5529,47.3365,47.2764,47.2902\n\n* X = x-coordinate (m)\n* Y = Y-coordinate (m)\n* KUNTA = municipality (name)\n* MKUNTA = community (name)\n* HP = 10kmx10km grid point number (1...3911)\n* AIKA = Date (YYYY-MM-DD)\n* T_126 to T_585 = temperature for the corresponding SSP-scenario (°C)\n* R_126 to R_585 = precipitation for the corresponding SSP-scenario (mm)\n\nCoordinate Reference System: WGS84/ETRS-TM35FIN (EPSG:3067)",
"fi": "Kuukauden keskilämpötilan ja sademäärän ennuste skenarioille SSP1-2.6, SSP2-4.5, SSP3-7.0 ja SSP5-8.5. Ennuste käsittää Suomen alueen ja vuodet 1975-2085. \n\nEnsemble mean of 28 CMIP6 GCMs.\n\nAikaväli = 1 kuukausi\n\nYksikkö, lämpötila = Celsius asteet (°C)\n\nYksikkö, sademäärä = millimetri (mm)\n\nScenario_data = Shared Socio-economic Pathways SSP1-2.6, SSP2-4.5, SSP3-7.0 ja SSP5-8.5. Gridded time series of running 30-year averages derived from 28 CMIP6 GCMs, Ruosteenoja and Jylhä (2021), Geophysica, 56, 39-69.\n\nBaseline_period = 1991-2020\n\nBaseline_data = FMI ClimGrid, Aalto et al. (2016), doi:10.1002/2015JD024651\n\nDatan rakenne:\nX,Y,KUNTA,MKUNTA,HP,AIKA,T_126,T_245,T_370,T_585,R_126,R_245,R_370,R_585\n\n238689.8723,6631775.141,Kemiönsaari,Varsinais-Suomi,1,1975-01-01,-2.1487,-2.2384,-2.1461,-2.1527,47.5529,47.3365,47.2764,47.2902\n\n* X = x-koordinaatti (m)\n* Y = Y-koordinaatti (m)\n* KUNTA = kunta (nimi)\n* MKUNTA = maakunta (nimi)\n* HP = 10kmx10km ruutun numero (1...3911)\n* AIKA = Date (YYYY-MM-DD)\n* T_126 to T_585 = vastaavan SSP-skenarion keskilämpötila (°C)\n* R_126 to R_585 = vastaavan SSP-skenarion sademäärä (mm)\n\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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}
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}
}
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{
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"fi": "Tämä aineisto on osaa FMI ClimGrid aineistoa, joka on päivittäinen ilmastohila-aineisto Suomelle. Se koostuu kahdeksasta keskeisestä ilmastosuureesta: \r\n\r\n * Vuorokauden ylin lämpötila\r\n * Vuorokauden alin\r\n * Vuorokauden keskilämpötila\r\n * Vuorokauden sademäärä, laskettuna tilastopäivän 06:01UTC - seuraavan päivän 06:00 UTC\r\n * Vuorokauden lumensyvyys\r\n * Vuorokauden auringon säteily \r\n * Vuorokauden keskimääräinen ilmanpaine \r\n * Vuorokauden suhteellinen kosteus. (Laskentamenetelmän takia voi olla myös arvoja yli 100%) \r\n* Kuukauden keskilämpötila\r\n* Kuukauden sademäärä\r\n\r\nAineiston alueellinen erotuskyky on 10 km x 10 km.\r\n\r\nAineiston laatimiseksi käytettiin tilastollista alueellistamismenetelmää, joka ottaa huomioon mm. topografian ja vesistöjen vaikutuksen paikalliseen ilmastoon. Näin saatiin tuotettua Suomen ja naapurimaiden sääasemien havaintojen pohjalta alueellisesti kattava karttamuotoinen aineisto. Lisäksi tutkimuksessa kehitetyllä uudella menetelmällä saatiin jokaiselle päivälle ja jokaiselle ilmastosuureelle tunnistettua ne alueet, joissa hila-aineistoon liittyvä epävarmuus on suurin. Tällaisia alueita on etenkin Lapissa muuta maata harvemman mittausasemaverkoston takia.\r\n\r\nAineisto on saatavilla GeoTIFF ja NetCDF-formaateissa. \r\n\r\n * GeoTIFF. Vuorokausitilastoissa jokaisesta vuodesta on oma tiedosto. Yksittäiset vuorokaudet ovat omina kanavina (365 kpl). Kuukausitilastoissa on jokaiselle kuukaudelle oma tiedosto, jossa on vain yksi kanava. GeoTIFF-tiedostojen käsittelyyn ja visualisointiin sopivat hyvin GIS-ohjelmistot, mm. ArcGIS ja QGIS. \r\n * NetCDF. Sekä vuorokausi- että kuukausitilastoissa on jokaiselle vuodelle oma tiedosto. NetCDF-tiedostojen käyttö onnistuu hyvin esim. Pythonilla ja R:llä (raster-paketin avulla) . \r\n\r\nAineisto on kuvattu julkaisussa: Aalto, J. A., Pirinen, P., Jylhä, K., 2016, New gridded daily climatology of Finland – permutation-based uncertainty estimates and temporal trends in climate, Journal of Geophysical Research : Atmospheres. ISSN: 2169-897X \r\n\r\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"en": "This dataset is part of FMI ClimGrid, which is a gridded daily climatology dataset of Finland. It includes eight key variables about climate: \n\n * Daily Mean Temperature (Tday)\n * Daily Maximum Temperature\t(Tmax)\n * Daily Minimum Temperature\t(Tmin)\n * Daily Precipitation Sum (RRday) Value for 23.03.1977 = accumulation 23.03.1977 06:01UTC - 24.03.1977 06:00 UTC\n * Average Daily Relative Humidity\t(Hum) Due the calculation method there can be values over 100% .\n * Average Daily Sea Level Pressure\t(Press)\n * Daily Snow Depth at 06 UTC\t(Snow)\n * Daily Global Radiation (kJ/m**2)\t(GlobRad)\n* Monthly Mean Temperature\t(Tmon)\n* Monthly Precipitation Sum\t(RRmon)\n\nThe datasets spatial resolution is 10 km x 10 km.\n\nThese datasets are available in GeoTIFF and NetCDF -format. \n\n * GeoTIFF. For daily statistics each year has its own file. Single days are described as bands in TIFF file (365 bands). For monthly statistics each month has its own file, each with a single band. GeoTIFF-images may be analyzed and visualized with GIS-software, for example ArcGIS or QGIS.\n * NetCDF. Daily and monthly statistics both have one file for each year. NetCDF-files may be used with for example Python or R (with raster-package) . \n\nThis dataset is described in publication: Aalto, J. A., Pirinen, P., Jylhä, K., 2016, New gridded daily climatology of Finland – permutation-based uncertainty estimates and temporal trends in climate, Journal of Geophysical Research : Atmospheres. ISSN: 2169-897X \n\nMonthly datasets of 2015-2023 included a small mistake, fixed versions added to Paituli 4.10.2024.\n\nCoordinate Reference System: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
"fi": "Tämä aineisto on osaa FMI ClimGrid aineistoa, joka on päivittäinen ilmastohila-aineisto Suomelle. Se koostuu kahdeksasta keskeisestä ilmastosuureesta: \n\n * Vuorokauden ylin lämpötila\n * Vuorokauden alin\n * Vuorokauden keskilämpötila\n * Vuorokauden sademäärä, laskettuna tilastopäivän 06:01UTC - seuraavan päivän 06:00 UTC\n * Vuorokauden lumensyvyys\n * Vuorokauden auringon säteily \n * Vuorokauden keskimääräinen ilmanpaine \n * Vuorokauden suhteellinen kosteus. (Laskentamenetelmän takia voi olla myös arvoja yli 100%) \n* Kuukauden keskilämpötila\n* Kuukauden sademäärä\n\nAineiston alueellinen erotuskyky on 10 km x 10 km.\n\nAineiston laatimiseksi käytettiin tilastollista alueellistamismenetelmää, joka ottaa huomioon mm. topografian ja vesistöjen vaikutuksen paikalliseen ilmastoon. Näin saatiin tuotettua Suomen ja naapurimaiden sääasemien havaintojen pohjalta alueellisesti kattava karttamuotoinen aineisto. Lisäksi tutkimuksessa kehitetyllä uudella menetelmällä saatiin jokaiselle päivälle ja jokaiselle ilmastosuureelle tunnistettua ne alueet, joissa hila-aineistoon liittyvä epävarmuus on suurin. Tällaisia alueita on etenkin Lapissa muuta maata harvemman mittausasemaverkoston takia.\n\nAineisto on saatavilla GeoTIFF ja NetCDF-formaateissa. \n\n * GeoTIFF. Vuorokausitilastoissa jokaisesta vuodesta on oma tiedosto. Yksittäiset vuorokaudet ovat omina kanavina (365 kpl). Kuukausitilastoissa on jokaiselle kuukaudelle oma tiedosto, jossa on vain yksi kanava. GeoTIFF-tiedostojen käsittelyyn ja visualisointiin sopivat hyvin GIS-ohjelmistot, mm. ArcGIS ja QGIS. \n * NetCDF. Sekä vuorokausi- että kuukausitilastoissa on jokaiselle vuodelle oma tiedosto. NetCDF-tiedostojen käyttö onnistuu hyvin esim. Pythonilla ja R:llä (raster-paketin avulla) . \n\nAineisto on kuvattu julkaisussa: Aalto, J. A., Pirinen, P., Jylhä, K., 2016, New gridded daily climatology of Finland – permutation-based uncertainty estimates and temporal trends in climate, Journal of Geophysical Research : Atmospheres. ISSN: 2169-897X \n\nKuukausittaisissa aineistoissa 2015-2023 oli pieni virhe, korjatut versiot lisätty Paituliin 4.10.2024.\n\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"fi": "Tämä aineisto on osaa FMI ClimGrid aineistoa, joka on päivittäinen ilmastohila-aineisto Suomelle. Se koostuu kahdeksasta keskeisestä ilmastosuureesta: \n\n * Vuorokauden ylin lämpötila\n * Vuorokauden alin\n * Vuorokauden keskilämpötila\n * Vuorokauden sademäärä, laskettuna tilastopäivän 06:01UTC - seuraavan päivän 06:00 UTC\n * Vuorokauden lumensyvyys\n * Vuorokauden auringon säteily \n * Vuorokauden keskimääräinen ilmanpaine \n * Vuorokauden suhteellinen kosteus. (Laskentamenetelmän takia voi olla myös arvoja yli 100%) \n* Kuukauden keskilämpötila\n* Kuukauden sademäärä\n\nAineiston alueellinen erotuskyky on 10 km x 10 km.\n\nAineiston laatimiseksi käytettiin tilastollista alueellistamismenetelmää, joka ottaa huomioon mm. topografian ja vesistöjen vaikutuksen paikalliseen ilmastoon. Näin saatiin tuotettua Suomen ja naapurimaiden sääasemien havaintojen pohjalta alueellisesti kattava karttamuotoinen aineisto. Lisäksi tutkimuksessa kehitetyllä uudella menetelmällä saatiin jokaiselle päivälle ja jokaiselle ilmastosuureelle tunnistettua ne alueet, joissa hila-aineistoon liittyvä epävarmuus on suurin. Tällaisia alueita on etenkin Lapissa muuta maata harvemman mittausasemaverkoston takia.\n\nAineisto on saatavilla GeoTIFF ja NetCDF-formaateissa. \n\n * GeoTIFF. Vuorokausitilastoissa jokaisesta vuodesta on oma tiedosto. Yksittäiset vuorokaudet ovat omina kanavina (365 kpl). Kuukausitilastoissa on jokaiselle kuukaudelle oma tiedosto, jossa on vain yksi kanava. GeoTIFF-tiedostojen käsittelyyn ja visualisointiin sopivat hyvin GIS-ohjelmistot, mm. ArcGIS ja QGIS. \n * NetCDF. Sekä vuorokausi- että kuukausitilastoissa on jokaiselle vuodelle oma tiedosto. NetCDF-tiedostojen käyttö onnistuu hyvin esim. Pythonilla ja R:llä (raster-paketin avulla) . \n\nAineisto on kuvattu julkaisussa: Aalto, J. A., Pirinen, P., Jylhä, K., 2016, New gridded daily climatology of Finland – permutation-based uncertainty estimates and temporal trends in climate, Journal of Geophysical Research : Atmospheres. ISSN: 2169-897X \n\nKuukausittaisissa aineistoissa 2015-2023 oli pieni virhe, korjatut versiot lisätty Paituliin 4.10.2024.\n\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"en": "This dataset is part of FMI ClimGrid, which is a gridded daily climatology dataset of Finland. It includes eight key variables about climate: \r\n\r\n * Daily Mean Temperature (Tday)\r\n * Daily Maximum Temperature\t(Tmax)\r\n * Daily Minimum Temperature\t(Tmin)\r\n * Daily Precipitation Sum (RRday) Value for 23.03.1977 = accumulation 23.03.1977 06:01UTC - 24.03.1977 06:00 UTC\r\n * Average Daily Relative Humidity\t(Hum) Due the calculation method there can be values over 100% .\r\n * Average Daily Sea Level Pressure\t(Press)\r\n * Daily Snow Depth at 06 UTC\t(Snow)\r\n * Daily Global Radiation (kJ/m**2)\t(GlobRad)\r\n* Monthly Mean Temperature\t(Tmon)\r\n* Monthly Precipitation Sum\t(RRmon)\r\n\r\nThe datasets spatial resolution is 10 km x 10 km.\r\n\r\nThese datasets are available in GeoTIFF and NetCDF -format. \r\n\r\n * GeoTIFF. For daily statistics each year has its own file. Single days are described as bands in TIFF file (365 bands). For monthly statistics each month has its own file, each with a single band. GeoTIFF-images may be analyzed and visualized with GIS-software, for example ArcGIS or QGIS.\r\n * NetCDF. Daily and monthly statistics both have one file for each year. NetCDF-files may be used with for example Python or R (with raster-package) . \r\n\r\nThis dataset is described in publication: Aalto, J. A., Pirinen, P., Jylhä, K., 2016, New gridded daily climatology of Finland – permutation-based uncertainty estimates and temporal trends in climate, Journal of Geophysical Research : Atmospheres. ISSN: 2169-897X \r\n\r\nCoordinate Reference System: ETRS89 / ETRS-TM35FIN (EPSG:3067)",
"fi": "Tämä aineisto on osaa FMI ClimGrid aineistoa, joka on päivittäinen ilmastohila-aineisto Suomelle. Se koostuu kahdeksasta keskeisestä ilmastosuureesta: \r\n\r\n * Vuorokauden ylin lämpötila\r\n * Vuorokauden alin\r\n * Vuorokauden keskilämpötila\r\n * Vuorokauden sademäärä, laskettuna tilastopäivän 06:01UTC - seuraavan päivän 06:00 UTC\r\n * Vuorokauden lumensyvyys\r\n * Vuorokauden auringon säteily \r\n * Vuorokauden keskimääräinen ilmanpaine \r\n * Vuorokauden suhteellinen kosteus. (Laskentamenetelmän takia voi olla myös arvoja yli 100%) \r\n* Kuukauden keskilämpötila\r\n* Kuukauden sademäärä\r\n\r\nAineiston alueellinen erotuskyky on 10 km x 10 km.\r\n\r\nAineiston laatimiseksi käytettiin tilastollista alueellistamismenetelmää, joka ottaa huomioon mm. topografian ja vesistöjen vaikutuksen paikalliseen ilmastoon. Näin saatiin tuotettua Suomen ja naapurimaiden sääasemien havaintojen pohjalta alueellisesti kattava karttamuotoinen aineisto. Lisäksi tutkimuksessa kehitetyllä uudella menetelmällä saatiin jokaiselle päivälle ja jokaiselle ilmastosuureelle tunnistettua ne alueet, joissa hila-aineistoon liittyvä epävarmuus on suurin. Tällaisia alueita on etenkin Lapissa muuta maata harvemman mittausasemaverkoston takia.\r\n\r\nAineisto on saatavilla GeoTIFF ja NetCDF-formaateissa. \r\n\r\n * GeoTIFF. Vuorokausitilastoissa jokaisesta vuodesta on oma tiedosto. Yksittäiset vuorokaudet ovat omina kanavina (365 kpl). Kuukausitilastoissa on jokaiselle kuukaudelle oma tiedosto, jossa on vain yksi kanava. GeoTIFF-tiedostojen käsittelyyn ja visualisointiin sopivat hyvin GIS-ohjelmistot, mm. ArcGIS ja QGIS. \r\n * NetCDF. Sekä vuorokausi- että kuukausitilastoissa on jokaiselle vuodelle oma tiedosto. NetCDF-tiedostojen käyttö onnistuu hyvin esim. Pythonilla ja R:llä (raster-paketin avulla) . \r\n\r\nAineisto on kuvattu julkaisussa: Aalto, J. A., Pirinen, P., Jylhä, K., 2016, New gridded daily climatology of Finland – permutation-based uncertainty estimates and temporal trends in climate, Journal of Geophysical Research : Atmospheres. ISSN: 2169-897X \r\n\r\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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"sv": "CSC – IT Center for Science",
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"data_catalog": "urn:nbn:fi:att:data-catalog-att",
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}
},
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"url": "http://www.yso.fi/onto/okm-tieteenala/ta519",
"in_scheme": "http://www.yso.fi/onto/okm-tieteenala/conceptscheme",
"pref_label": {
"en": "Social and economic geography",
"fi": "Yhteiskuntamaantiede, talousmaantiede",
"sv": "Socialgeografi och ekonomisk geografi"
}
}
],
"infrastructure": [],
"issued": "2023-04-19",
"keyword": [
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],
"language": [
{
"id": "a6d1131d-161e-4830-bd82-06a3940fc097",
"url": "http://lexvo.org/id/iso639-3/zxx",
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"pref_label": {
"en": "Not applicable",
"fi": "ei kielellistä sisältöä",
"sv": "inget språkligt innehåll"
}
}
],
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"persistent_identifier": "urn:nbn:fi:att:83565502-5810-47b3-b9f5-bd4be24b0334",
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{
"title": {
"en": "Hallintorajat, 2023, 1:100 000"
},
"use_category": {
"id": "ed5844fc-6309-4a8f-98bb-e18c1aec9fdc",
"url": "http://uri.suomi.fi/codelist/fairdata/use_category/code/outcome",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/use_category",
"pref_label": {
"en": "Outcome material",
"fi": "Tulosaineisto"
}
},
"download_url": "https://paituli.csc.fi/download?data_id=mml_hallinto_100k_2023_shape_euref"
},
{
"title": {
"en": "Kuntajako 1:100 000 aineiston kuvaus (MML, 2023)"
},
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"id": "43b3c08a-a545-4646-ba85-0b2e1a930147",
"url": "http://uri.suomi.fi/codelist/fairdata/use_category/code/documentation",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/use_category",
"pref_label": {
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"fi": "Dokumentaatio"
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},
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},
{
"title": {
"en": "Files in folder view",
"fi": "Tiedostot hakemistonäkymässä"
},
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"url": "http://uri.suomi.fi/codelist/fairdata/use_category/code/outcome",
"in_scheme": "http://uri.suomi.fi/codelist/fairdata/use_category",
"pref_label": {
"en": "Outcome material",
"fi": "Tulosaineisto"
}
},
"access_url": "https://www.nic.funet.fi/index/geodata/mml/hallintorajat_100k/2023/"
}
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{
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"fi": "Suomi",
"sv": "Finland"
},
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"fi": "Tämä aineisto on osaa FMI ClimGrid aineistoa, joka on päivittäinen ilmastohila-aineisto Suomelle. Se koostuu kahdeksasta keskeisestä ilmastosuureesta: \r\n\r\n * Vuorokauden ylin lämpötila\r\n * Vuorokauden alin\r\n * Vuorokauden keskilämpötila\r\n * Vuorokauden sademäärä, laskettuna tilastopäivän 06:01UTC - seuraavan päivän 06:00 UTC\r\n * Vuorokauden lumensyvyys\r\n * Vuorokauden auringon säteily \r\n * Vuorokauden keskimääräinen ilmanpaine \r\n * Vuorokauden suhteellinen kosteus. (Laskentamenetelmän takia voi olla myös arvoja yli 100%) \r\n* Kuukauden keskilämpötila\r\n* Kuukauden sademäärä\r\n\r\nAineiston alueellinen erotuskyky on 10 km x 10 km.\r\n\r\nAineiston laatimiseksi käytettiin tilastollista alueellistamismenetelmää, joka ottaa huomioon mm. topografian ja vesistöjen vaikutuksen paikalliseen ilmastoon. Näin saatiin tuotettua Suomen ja naapurimaiden sääasemien havaintojen pohjalta alueellisesti kattava karttamuotoinen aineisto. Lisäksi tutkimuksessa kehitetyllä uudella menetelmällä saatiin jokaiselle päivälle ja jokaiselle ilmastosuureelle tunnistettua ne alueet, joissa hila-aineistoon liittyvä epävarmuus on suurin. Tällaisia alueita on etenkin Lapissa muuta maata harvemman mittausasemaverkoston takia.\r\n\r\nAineisto on saatavilla GeoTIFF ja NetCDF-formaateissa. \r\n\r\n * GeoTIFF. Vuorokausitilastoissa jokaisesta vuodesta on oma tiedosto. Yksittäiset vuorokaudet ovat omina kanavina (365 kpl). Kuukausitilastoissa on jokaiselle kuukaudelle oma tiedosto, jossa on vain yksi kanava. GeoTIFF-tiedostojen käsittelyyn ja visualisointiin sopivat hyvin GIS-ohjelmistot, mm. ArcGIS ja QGIS. \r\n * NetCDF. Sekä vuorokausi- että kuukausitilastoissa on jokaiselle vuodelle oma tiedosto. NetCDF-tiedostojen käyttö onnistuu hyvin esim. Pythonilla ja R:llä (raster-paketin avulla) . \r\n\r\nAineisto on kuvattu julkaisussa: Aalto, J. A., Pirinen, P., Jylhä, K., 2016, New gridded daily climatology of Finland – permutation-based uncertainty estimates and temporal trends in climate, Journal of Geophysical Research : Atmospheres. ISSN: 2169-897X \r\n\r\nKoordinaattijärjestelmä: ETRS89 / ETRS-TM35FIN (EPSG:3067)"
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