Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Nina Rholan Hounguè"'
Publikováno v:
Atmosphere, Vol 13, Iss 9, p 1471 (2022)
Regional climate models (RCMs) are key in the current context of global warming, and they are increasingly used to support decision-making and to identify adaptation measures in response to climate change. However, considering the wide range of avail
Externí odkaz:
https://doaj.org/article/901336548a0745ccbea5b9c0a8655b75
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 36, Iss , Pp 100875- (2021)
Study region: This study focused on the Mono River Basin in west Africa. Study focus: The lack of extensive and functional measurement networks for flood monitoring, introduces satellite-based rainfall datasets as an alternative which needs however t
Externí odkaz:
https://doaj.org/article/580ace005fdd40588c8f11980fe7af32
Publikováno v:
Climate, Vol 8, Iss 10, p 103 (2020)
Understanding the variability of rainfall is important for sustaining rain-dependent agriculture and driving the local economy of Nigeria. Paucity and inadequate rain gauge network across Nigeria has made satellite-based rainfall products (SRPs), whi
Externí odkaz:
https://doaj.org/article/7a1c062a9da94886940bebf6886c90b2
Autor:
Agnidé Emmanuel Lawin, Rita Hounguè, Yèkambèssoun N’Tcha M’Po, Nina Rholan Hounguè, André Attogouinon, Akambi Abel Afouda
Publikováno v:
Hydrology, Vol 6, Iss 3, p 72 (2019)
This work focuses on impacts of climate change on Ouémé River discharge at Bonou outlet based on four global climate models (GCM) over Ouémé catchment from 1971 to 2050. Empirical quantile mapping method is used for bias correction of GCM. Furthe
Externí odkaz:
https://doaj.org/article/a39cd93c247249c2aea70a12b3e260b7
Publikováno v:
Climate, Vol 7, Iss 1, p 8 (2019)
This paper assessed the current and mid-century trends in rainfall and temperature over the Mono River watershed. It considered observation data for the period 1981–2010 and projection data from the regional climate model (RCM), REMO, for the perio
Externí odkaz:
https://doaj.org/article/89c94e2326b44df9bd39574b0b37db06
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 36, Iss, Pp 100875-(2021)
Study region This study focused on the Mono River Basin in west Africa. Study focus The lack of extensive and functional measurement networks for flood monitoring, introduces satellite-based rainfall datasets as an alternative which needs however to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11ddf85354236fbe69e661cf6a371e58
http://www.sciencedirect.com/science/article/pii/S221458182100104X
http://www.sciencedirect.com/science/article/pii/S221458182100104X
Autor:
Sophie Thiam, Eric Ariel L. Salas, Nina Rholan Hounguè, Adrian Delos Santos Almoradie, Sarah Verleysdonk, Julien G. Adounkpe, Kossi Komi
Publikováno v:
Sustainability; Volume 14; Issue 7; Pages: 4160
Integrating both modeling approach and stakeholders’ perspectives to derive past and future trends of land use land cover (LULC) is a key to creating more realistic results on LULC change trajectories and can lead to the implementation of appropria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13347c67fd1bdca0b8529d65dff78264
https://doi.org/10.3390/su14074160
https://doi.org/10.3390/su14074160
Autor:
Rita Hounguè, Yèkambèssoun N’Tcha M’Po, Nina Rholan Hounguè, Agnidé Emmanuel Lawin, André Attogouinon, Akambi Abel Afouda
Publikováno v:
Hydrology, Vol 6, Iss 3, p 72 (2019)
Hydrology
Volume 6
Issue 3
Hydrology
Volume 6
Issue 3
This work focuses on impacts of climate change on Oué
mé
River discharge at Bonou outlet based on four global climate models (GCM) over Oué
catchment from 1971 to 2050. Empirical quantile mapping method is used for bi
mé
River discharge at Bonou outlet based on four global climate models (GCM) over Oué
catchment from 1971 to 2050. Empirical quantile mapping method is used for bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1aed648a62b8b0cbc20d6d3d1036c2f4
https://www.mdpi.com/2306-5338/6/3/72
https://www.mdpi.com/2306-5338/6/3/72