Mostra el registre d'ítem simple
Rainfall estimates on a gridded network (REGEN) – a global land-based gridded dataset of daily precipitation from 1950 to 2016
dc.contributor.author | Contractor, Steefan |
dc.contributor.author | Donat, Markus . |
dc.contributor.author | Alexandre, Lisa V. |
dc.contributor.author | Ziese, Markus |
dc.contributor.author | Meyer-Christoffer, Anja |
dc.contributor.author | Schneider, Udo |
dc.contributor.author | Rustemeier, Elke |
dc.contributor.author | Becker, Andreas |
dc.contributor.author | Durre, Imke |
dc.contributor.author | Vose, Russell S. |
dc.contributor.other | Barcelona Supercomputing Center |
dc.date.accessioned | 2020-04-27T18:47:05Z |
dc.date.available | 2020-04-27T18:47:05Z |
dc.date.issued | 2020-02-27 |
dc.identifier.citation | Contractor, S. [et al.]. Rainfall estimates on a gridded network (REGEN) – a global land-based gridded dataset of daily precipitation from 1950 to 2016. "Hydrology and Earth System Sciences (HESS)", 27 Febrer 2020, vol. 24, núm. 2, p. 919-943. |
dc.identifier.uri | http://hdl.handle.net/2117/185351 |
dc.description.abstract | We present a new global land-based daily precipitation dataset from 1950 using an interpolated network of in situ data called Rainfall Estimates on a Gridded Network – REGEN. We merged multiple archives of in situ data including two of the largest archives, the Global Historical Climatology Network – Daily (GHCN-Daily) hosted by National Centres of Environmental Information (NCEI), USA, and one hosted by the Global Precipitation Climatology Centre (GPCC) operated by Deutscher Wetterdienst (DWD). This resulted in an unprecedented station density compared to existing datasets. The station time series were quality-controlled using strict criteria and flagged values were removed. Remaining values were interpolated to create area-average estimates of daily precipitation for global land areas on a 1∘ × 1∘ latitude–longitude resolution. Besides the daily precipitation amounts, fields of standard deviation, kriging error and number of stations are also provided. We also provide a quality mask based on these uncertainty measures. For those interested in a dataset with lower station network variability we also provide a related dataset based on a network of long-term stations which interpolates stations with a record length of at least 40 years. The REGEN datasets are expected to contribute to the advancement of hydrological science and practice by facilitating studies aiming to understand changes and variability in several aspects of daily precipitation distributions, extremes and measures of hydrological intensity. Here we document the development of the dataset and guidelines for best practices for users with regards to the two datasets. |
dc.description.sponsorship | This research has been supported by the Australian Research Council (grant nos. DP160103439, CE110001028 and DE150100456) and the Spanish Ministry for Science and Innovation (grant no. RYC-2017-22964) |
dc.format.extent | 25 p. |
dc.language.iso | eng |
dc.publisher | European Geosciences Union (EGU) |
dc.rights | Attribution 3.0 Spain |
dc.rights | Attribution 4.0 International (CC BY 4.0) |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/es/ |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
dc.subject | Àrees temàtiques de la UPC::Desenvolupament humà i sostenible |
dc.subject.lcsh | Precipitation (Meteorology) |
dc.subject.lcsh | Databases |
dc.subject.lcsh | Hydrology |
dc.subject.other | Dataset of daily precipitation |
dc.subject.other | Rainfall Estimates on a Gridded Network – REGEN |
dc.subject.other | Station time series |
dc.subject.other | Precipitation |
dc.subject.other | Long-term stations |
dc.title | Rainfall estimates on a gridded network (REGEN) – a global land-based gridded dataset of daily precipitation from 1950 to 2016 |
dc.type | Article |
dc.subject.lemac | Precipitacions (Meteorologia) |
dc.subject.lemac | Bases de dades |
dc.subject.lemac | Hidrologia |
dc.identifier.doi | 10.5194/hess-24-919-2020 |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | https://www.hydrol-earth-syst-sci.net/24/919/2020/#section10 |
dc.rights.access | Open Access |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/MICINN/2PE/RYC-2017-22964 |
local.citation.publicationName | Hydrology and Earth System Sciences (HESS) |
local.citation.volume | 24 |
local.citation.number | 2 |
local.citation.startingPage | 919 |
local.citation.endingPage | 943 |
Fitxers d'aquest items
Aquest ítem apareix a les col·leccions següents
-
Articles de revista [390]