A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds
The Hydrometeorological Sandbox - École de technologie supérieure (HYSETS) is a rich, comprehensive and large-scale database for hydrological modelling covering 14425 watersheds in North America. The database includes data covering the period 1950-2018 depending on the type and source of data. The data include a wide array of hydrometeorological data required to perform hydrological and climate change impact studies: (1) watershed properties including boundaries, area, elevation slope, land use and other physiographic information; (2) hydrometric gauging station discharge time-series; (3) precipitation, maximum and minimum daily air temperature time-series from weather station records and from (4) the SCDNA infilled gauge meteorological dataset; (5) the NRCan and Livneh gridded interpolated products' meteorological data; (6) ERA5 and ERA5-Land reanalysis data; and (7) the SNODAS and ERA5-Land snow water equivalent estimates. All data have been processed and averaged at the watershed scale, and provides a solid basis for hydrological modelling, climate change impact studies, model calibration assessment, regionalization method evaluation and essentially any study requiring access to large amounts of spatiotemporally varied hydrometeorological data.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2020 |
---|---|
Erschienen: |
2020 |
Enthalten in: |
Zur Gesamtaufnahme - volume:7 |
---|---|
Enthalten in: |
Scientific data - 7(2020), 1 vom: 20. Juli, Seite 243 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Arsenault, Richard [VerfasserIn] |
---|
Links: |
---|
Themen: |
---|
Anmerkungen: |
Date Completed 08.01.2021 Date Revised 17.02.2021 published: Electronic Citation Status PubMed-not-MEDLINE |
---|
doi: |
10.1038/s41597-020-00583-2 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM312630220 |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | NLM312630220 | ||
003 | DE-627 | ||
005 | 20231225144829.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231225s2020 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1038/s41597-020-00583-2 |2 doi | |
028 | 5 | 2 | |a pubmed24n1042.xml |
035 | |a (DE-627)NLM312630220 | ||
035 | |a (NLM)32686687 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Arsenault, Richard |e verfasserin |4 aut | |
245 | 1 | 2 | |a A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds |
264 | 1 | |c 2020 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 08.01.2021 | ||
500 | |a Date Revised 17.02.2021 | ||
500 | |a published: Electronic | ||
500 | |a Citation Status PubMed-not-MEDLINE | ||
520 | |a The Hydrometeorological Sandbox - École de technologie supérieure (HYSETS) is a rich, comprehensive and large-scale database for hydrological modelling covering 14425 watersheds in North America. The database includes data covering the period 1950-2018 depending on the type and source of data. The data include a wide array of hydrometeorological data required to perform hydrological and climate change impact studies: (1) watershed properties including boundaries, area, elevation slope, land use and other physiographic information; (2) hydrometric gauging station discharge time-series; (3) precipitation, maximum and minimum daily air temperature time-series from weather station records and from (4) the SCDNA infilled gauge meteorological dataset; (5) the NRCan and Livneh gridded interpolated products' meteorological data; (6) ERA5 and ERA5-Land reanalysis data; and (7) the SNODAS and ERA5-Land snow water equivalent estimates. All data have been processed and averaged at the watershed scale, and provides a solid basis for hydrological modelling, climate change impact studies, model calibration assessment, regionalization method evaluation and essentially any study requiring access to large amounts of spatiotemporally varied hydrometeorological data | ||
650 | 4 | |a Journal Article | |
700 | 1 | |a Brissette, François |e verfasserin |4 aut | |
700 | 1 | |a Martel, Jean-Luc |e verfasserin |4 aut | |
700 | 1 | |a Troin, Magali |e verfasserin |4 aut | |
700 | 1 | |a Lévesque, Guillaume |e verfasserin |4 aut | |
700 | 1 | |a Davidson-Chaput, Jonathan |e verfasserin |4 aut | |
700 | 1 | |a Gonzalez, Mariana Castañeda |e verfasserin |4 aut | |
700 | 1 | |a Ameli, Ali |e verfasserin |4 aut | |
700 | 1 | |a Poulin, Annie |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Scientific data |d 2014 |g 7(2020), 1 vom: 20. Juli, Seite 243 |w (DE-627)NLM245762450 |x 2052-4463 |7 nnns |
773 | 1 | 8 | |g volume:7 |g year:2020 |g number:1 |g day:20 |g month:07 |g pages:243 |
856 | 4 | 0 | |u http://dx.doi.org/10.1038/s41597-020-00583-2 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 7 |j 2020 |e 1 |b 20 |c 07 |h 243 |