About: Stochastic approach to analyzing the uncertainties and possible changes in the availability of water in the future based on scenarios of climate change

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scholarly article by G. G. Oliveira et al published 17 August 2015 in Hydrology and Earth System Sciences

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2015 (fr) наукова стаття, опублікована в серпні 2015 (uk) im August 2015 veröffentlichter wissenschaftlicher Artikel (de) scholarly article by G. G. Oliveira et al published 17 August 2015 in Hydrology and Earth System Sciences (en)
publication date	wds:Q57895766-6128DF91-82A8-4065-8AC6-B867C448649A
publication date	2015-08-17 00:00:00Z (xsd:dateTime)
cites work	wds:Q57895766-005319A5-7615-4CBF-B0DC-6C1A7AC1E100 wds:Q57895766-05643044-D808-4196-8195-989D2833A867 wds:Q57895766-52F48C09-703C-4E03-A808-8F751E250771 wds:Q57895766-6AFC9D27-A342-4385-9D9E-41464DE52A98 wds:Q57895766-6B6D8883-DE00-4AD6-8DCD-0E5F83D66893 wds:Q57895766-70F90848-7DA8-4C32-9BA3-1D13069DC54B wds:Q57895766-71578212-4652-4471-BD94-A20F6F587005 wds:Q57895766-7C92F55D-AB43-4C50-88E8-085F2A8FEE4C wds:Q57895766-902E1580-9205-4CCD-A47E-638E2B0DDD73 wds:Q57895766-A2C19AAC-78B1-4EB3-8B0B-133CD230E975 wds:Q57895766-A43D890E-51DC-4634-A02B-517D84B0B898 wds:Q57895766-A523542B-D412-40CE-8666-E0D674E323A7 wds:Q57895766-AB67CB11-A1DF-4F01-8CE0-CD2CB589A16B wds:Q57895766-ACBCDCC4-2F07-46BF-82FF-468210197D32 wds:Q57895766-B11F43E6-40CA-4128-A77E-292C40B4E690 wds:Q57895766-BF52940D-28DF-4EDA-8199-2B6A82002726 wds:Q57895766-CD410A81-A18B-4AF6-AC45-DE32E5F08101 wds:Q57895766-D2974854-1E6D-4864-A9EE-0F723A6302CB wds:Q57895766-D7F4AE2B-FA28-4F48-A2CC-1ACE834A475F wds:Q57895766-DD86DA0D-5A4C-4B23-8C75-4440AE27F50A wds:Q57895766-ED9364A4-5705-4F5E-8DA6-2652A0DA3D0B
cites work	Utility of daily vs. monthly large-scale climate data: an intercomparison of two statistical downscaling methods Hydrologic Implications of Dynamical and Statistical Approaches to Downscaling Climate Model Outputs Learning representations by back-propagating errors Natural Evaporation from Open Water, Bare Soil and Grass Future change of temperature and precipitation extremes in South America as derived from the PRECIS regional climate modeling system Global pattern of trends in streamflow and water availability in a changing climate USE OF A STOCHASTIC WEATHER GENERATOR IN THE DEVELOPMENT OF CLIMATE CHANGE SCENARIOS Hydrologic Sensitivity of Global Rivers to Climate Change Development of regional future climate change scenarios in South America using the Eta CPTEC/HadCM3 climate change projections: climatology and regional analyses for the Amazon, São Francisco and the Paraná River basins Validation of the North American Land Data Assimilation System (NLDAS) retrospective forcing over the southern Great Plains Statistical bias correction of global simulated daily precipitation and temperature for the application of hydrological models Input determination for neural network models in water resources applications. Part 1—background and methodology Downscaling of South America present climate driven by 4-member HadCM3 runs Water Resources Implications of Global Warming: A U.S. Regional Perspective Hydrologic simulations in the Rhine basin driven by a regional climate model Statistical and dynamical downscaling of the Seine basin climate for hydro-meteorological studies Climate change and global water resources Modelling impacts of climate change on wheat yields in England and Wales: assessing drought risks Simulating potential response of hydrology, soil erosion, and crop productivity to climate change in Changwu tableland region on the Loess Plateau of China Floods in a Changing Climate: Hydrologic Modeling Climate change effects on irrigation demands and minimum stream discharge: impact of bias-correction method
author name string	wds:Q57895766-73DCAE53-5877-4382-AA89-3DED1778E715 wds:Q57895766-AA01ACBC-33F9-43C5-BB38-15A825BD388D wds:Q57895766-CDB13C04-CEAE-415B-8ED7-627C118DAAB1
author name string	G. G. Oliveira N. M. R. Castro O. C. Pedrollo
rdfs:label	Stochastic approach to analyzing the uncertainties and possible changes in the availability of water in the future based on scenarios of climate change (en) Stochastic approach to analyzing the uncertainties and possible changes in the availability of water in the future based on scenarios of climate change (nl)
skos:prefLabel	Stochastic approach to analyzing the uncertainties and possible changes in the availability of water in the future based on scenarios of climate change (en) Stochastic approach to analyzing the uncertainties and possible changes in the availability of water in the future based on scenarios of climate change (nl)
name	Stochastic approach to analyzing the uncertainties and possible changes in the availability of water in the future based on scenarios of climate change (en) Stochastic approach to analyzing the uncertainties and possible changes in the availability of water in the future based on scenarios of climate change (nl)
title	wds:Q57895766-F17E3F7B-6890-47B7-B827-7DC6FE592D99
title	Stochastic approach to analyzing the uncertainties and possible changes in the availability of water in the future based on scenarios of climate change (en)
page(s)	wds:Q57895766-22E90433-DF35-43C5-9A4E-14B0FC10F567
page(s)	3585-3604
instance of	wds:Q57895766-CA1B142B-9D44-4F76-8D74-109F3AED9493
instance of	scholarly article
main subject	wds:Q57895766-223D2EEA-E89F-405A-AC1E-A1EA16C7EEBB wds:Q57895766-F46641C9-E596-4E64-A390-452FBFC5741C
main subject	climate change future
published in	wds:Q57895766-512A4503-DAE7-41FD-9422-2F954FB93FC4
published in	Hydrology and Earth System Sciences
issue	wds:Q57895766-89CDE3CA-67DF-40CE-A2B8-FBA8FE3AA966
volume	wds:Q57895766-DD10252B-3E00-443D-8171-670665F4A4BD
issue	8
volume	19
DOI	wds:Q57895766-D811535B-ED5F-4C14-BEA5-6AA4A78E0E68
DOI	http://dx.doi.org/10.5194/HESS-19-3585-2015
DOI	10.5194/HESS-19-3585-2015
copyright license	wds:Q57895766-28c2910f-dbe2-4a14-9c26-6b6ec513ecde
copyright status	wds:Q57895766-4731b724-d5ad-4996-8f66-ce02e73fe8a5
copyright license	Creative Commons Attribution 3.0 Unported
copyright status	copyrighted
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57895766
is cites work of	Soil moisture and discharge modeling in a representative watershed in northeastern Brazil using SWAT
is cites work of	wds:Q58387683-7096E3B8-CABD-4D28-B52D-E1FD17218E2D

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