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"fi": "Tämä aineisto on osa Ilmatieteen laitoksen tuottamasta BioClimFMI aineistokokonaisuudesta, joka on suurelta osin tuotettu Forbio-hankkeen yhteydessä. Aineistokokonaisuus sisältää joukon ilmastomuuttujia, joita voidaan hyödyntää maa- ja metsätaloudellisessa tutkimuksessa ja sovellutuksissa. Tässä aineistossa on esitetty niiden päivien keskimääräinen vuosittainen lukumäärä jolloin maaston kosteus on alhainen ja metsäpalovaara korkealla. Laskelmissa kriteerinä on käytetty ns. kanadalaisessa metsäpaloindeksin FWI arvoa. Jos indeksin arvo on korkeampi kuin 17 arvioidaan maaston syttymisherkkyyden olevan kohonnut. Tällä tavoin laskettujen päivien lukumäärä vastaa likimäärin Suomessa käytössä olevalla metsäpaloindeksillä arvioitujen palovaarallisten päivien lukumäärää. \r\n\r\nArviot on laskettu kahdelle ilmastonmuutosskenaariolle: RCP4.5 (lämpötilan kohoaminen Suomen alueella reilut 3 °C tämän vuosisadan aikana) sekä RCP8.5 (lämpötilan kohoaminen Suomen alueella reilut 5 °C tämän vuosisadan aikana). \r\n\r\nAineiston alueellinen tarkkuus on (pituuspiiri × leveyspiiri) 0.2° × 0.1°. \r\nAineisto on saatavilla CSV-tiedostona. \r\n\r\nAineiston tuottamiseen käytetty menetelmä on selostettu julkaisuissa: \r\n\r\nLehtonen, I., Venäläinen, A., Kämäräinen, M., Peltola, H. and Gregow, H., 2016. Risk of large-scale forest fires in boreal forests in Finland under changing climate. Nat. Hazards Earth Syst. Sci., 16, 239-253, doi:10.5194/nhess-16-239-2016; \r\n\r\nLehtonen, I., Ruosteenoja, K., Venäläinen, A. and Gregow, H., 2014. The projected 21st century forest-fire risk in Finland under different greenhouse gas scenarios. Boreal Env. Res. 19, : 127–139; \r\n\r\nVajda, A., Venäläinen, A., Suomi, I., Junila, P. and Mäkelä, H., 2014. Assessment of forest fire danger in a boreal forest environment: description and evaluation of the operational system applied in Finland. Meteorol. Appl., 21: 879-887, DOI: 10.1002/met.1425.\r\n\r\nKoordinaattijärjestelmä: WGS-84 (EPSG:4326)"
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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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"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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"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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"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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"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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"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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"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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"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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"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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"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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"title": {
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"fi": "Vuorokauden ilmanpaine, 10 km, 1961-2024, GeoTIFF"
},
"created": "2019-01-09T07:37:36Z",
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