Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Manuel F. Rios Gaona"'
Autor:
Dagmawi Teklu Asfaw, Michael Bliss Singer, Rafael Rosolem, David MacLeod, Mark Cuthbert, Edisson Quichimbo Miguitama, Manuel F. Rios Gaona, Katerina Michaelides
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d616ff82017649bf1478c3a81ba2c9ad
https://doi.org/10.5194/gmd-2022-128-supplement
https://doi.org/10.5194/gmd-2022-128-supplement
Autor:
Dagmawi Teklu Asfaw, Michael Bliss Singer, Rafael Rosolem, David MacLeod, Mark Cuthbert, Edisson Quichimbo Miguitama, Manuel F. Rios Gaona, Katerina Michaelides
Potential evapotranspiration (PET) represents the evaporative demand in the atmosphere for the removal of water from the land and is an essential variable for understanding and modelling land–atmosphere interactions. Weather generators are often us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2711d92ac71c5ef243668081f0b849ed
https://doi.org/10.5194/gmd-2022-128
https://doi.org/10.5194/gmd-2022-128
Commercial Microwave Links (CMLs) have demonstrated to be a valuable complementary measuring technique with regard to rainfall measuring. Their intrinsic characteristics give them an edge over traditional networks such as meteorological radars, satel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e07114e2bad69627f3c91221e88262ff
https://doi.org/10.5194/egusphere-egu21-8454
https://doi.org/10.5194/egusphere-egu21-8454
Precipitation is an important input for hydrological models. Uncertainty in its spatiotemporal variability is a major error source for forecasts generated with distributed hydrological models, because this uncertainty propagates non-linearly into sim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef4ef819f4a390709d37dafb69cc4b12
https://doi.org/10.5194/egusphere-egu2020-8413
https://doi.org/10.5194/egusphere-egu2020-8413
Publikováno v:
Journal of Hydrology. 564:997-1007
We analyze the diurnal cycle of maximum rainfall from ∼300 TCs from March 2014 through February 2017, by cross-referencing the path of tropical cyclones (TCs) and high-resolution rainfall estimates from IMERG (Integrated Multi-satellitE Rainfall fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eec687992c5230638a5caf37d8e95add
https://doi.org/10.1016/j.jhydrol.2018.07.062
https://doi.org/10.1016/j.jhydrol.2018.07.062
Publikováno v:
Atmospheric Research. 209:95-102
Heavy rainfall associated with landfalling tropical cyclones (TCs) is responsible for significant societal and economic impacts. Improved characterization and description of how rainfall during these storms changes as a function of distance from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::935a27f52125d64b9e695fadc7c79aa8
https://doi.org/10.1016/j.atmosres.2018.03.008
https://doi.org/10.1016/j.atmosres.2018.03.008