Gridded reconstruction of monthly runoff for Northwest Russia

Developed reconstructions of monthly runoff for Northwest Russia -- BASE and SOTA -- are the part of the manuscript "The influence of regional hydrometric data incorporation on the accuracy of gridded reconstruction of monthly runoff" by G. Ayzel, L. Kurochkina, and S. Zhuravlev which was...

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Bibliographic Details
Main Author: Ayzel, Georgy
Format: Dataset
Language:unknown
Published: Zenodo 2019
Subjects:
runoff, reanalysis, reconstruction, hydrology, modeling, GR4J, Russia
Kurochkina
Northwest Russia
Online Access:https://dx.doi.org/10.5281/zenodo.3571217
https://zenodo.org/record/3571217
id ftdatacite:10.5281/zenodo.3571217
record_format openpolar
spelling ftdatacite:10.5281/zenodo.3571217 2023-05-15T17:46:01+02:00 Gridded reconstruction of monthly runoff for Northwest Russia Ayzel, Georgy 2019 https://dx.doi.org/10.5281/zenodo.3571217 https://zenodo.org/record/3571217 unknown Zenodo https://dx.doi.org/10.5281/zenodo.3571216 Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY runoff, reanalysis, reconstruction, hydrology, modeling, GR4J, Russia dataset Dataset 2019 ftdatacite https://doi.org/10.5281/zenodo.3571217 https://doi.org/10.5281/zenodo.3571216 2021-11-05T12:55:41Z Developed reconstructions of monthly runoff for Northwest Russia -- BASE and SOTA -- are the part of the manuscript "The influence of regional hydrometric data incorporation on the accuracy of gridded reconstruction of monthly runoff" by G. Ayzel, L. Kurochkina, and S. Zhuravlev which was submitted in the Special Issue on “Hydrological Data: Opportunities and Barriers” of the Hydrological Sciences Journal (http://explore.tandfonline.com/cfp/est/hydrological-science-data). Dataset Northwest Russia DataCite Metadata Store (German National Library of Science and Technology) Kurochkina ENVELOPE(-35.000,-35.000,-81.167,-81.167)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic runoff, reanalysis, reconstruction, hydrology, modeling, GR4J, Russia
spellingShingle runoff, reanalysis, reconstruction, hydrology, modeling, GR4J, Russia
Ayzel, Georgy
Gridded reconstruction of monthly runoff for Northwest Russia
topic_facet runoff, reanalysis, reconstruction, hydrology, modeling, GR4J, Russia
description Developed reconstructions of monthly runoff for Northwest Russia -- BASE and SOTA -- are the part of the manuscript "The influence of regional hydrometric data incorporation on the accuracy of gridded reconstruction of monthly runoff" by G. Ayzel, L. Kurochkina, and S. Zhuravlev which was submitted in the Special Issue on “Hydrological Data: Opportunities and Barriers” of the Hydrological Sciences Journal (http://explore.tandfonline.com/cfp/est/hydrological-science-data).
format Dataset
author Ayzel, Georgy
author_facet Ayzel, Georgy
author_sort Ayzel, Georgy
title Gridded reconstruction of monthly runoff for Northwest Russia
title_short Gridded reconstruction of monthly runoff for Northwest Russia
title_full Gridded reconstruction of monthly runoff for Northwest Russia
title_fullStr Gridded reconstruction of monthly runoff for Northwest Russia
title_full_unstemmed Gridded reconstruction of monthly runoff for Northwest Russia
title_sort gridded reconstruction of monthly runoff for northwest russia
publisher Zenodo
publishDate 2019
url https://dx.doi.org/10.5281/zenodo.3571217
https://zenodo.org/record/3571217
long_lat ENVELOPE(-35.000,-35.000,-81.167,-81.167)
geographic Kurochkina
geographic_facet Kurochkina
genre Northwest Russia
genre_facet Northwest Russia
op_relation https://dx.doi.org/10.5281/zenodo.3571216
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.3571217
https://doi.org/10.5281/zenodo.3571216
_version_ 1766149367908007936

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