Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Guleid A. Artan"'
Autor:
Kinfe Hailermariam, Abebe Tadege, Gideon Galu, Laura Harrison, Catherine Pomposi, Diego Pedreros, Sharon E. Nicholson, Fetene Teshome, Zachary Atheru, Zewdu T. Segele, Andrew Hoell, Guleid A. Artan, Chris Funk, Diriba Korecha
Publikováno v:
Bulletin of the American Meteorological Society. 100:S55-S60
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab40566f188c2213169f494dcfbe49cb
https://doi.org/10.1175/bams-d-18-0108.1
https://doi.org/10.1175/bams-d-18-0108.1
Autor:
Linda Hirons, Zewdu T. Segele, Steven J. Woolnough, Guleid A. Artan, Masilin Gudoshava, Hussen Seid Endris
Publikováno v:
Weather and Forecasting.
The skill of precipitation forecasts from global prediction systems has a strong regional and seasonal dependence. Quantifying the skill of models for different regions and timescales is important, not only to improve forecast skill, but to enhance t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a50a07f696f3c93ee293cce8df99dbe
https://doi.org/10.1175/waf-d-20-0177.1
https://doi.org/10.1175/waf-d-20-0177.1
Autor:
Herbert O. Misiani, Zachary Atheru, Declan L. Finney, Abebe Tadege, John H. Marsham, Zewdu T. Segele, Guleid A. Artan
Publikováno v:
Atmosphere
Volume 11
Issue 12
Atmosphere, Vol 11, Iss 1352, p 1352 (2020)
Volume 11
Issue 12
Atmosphere, Vol 11, Iss 1352, p 1352 (2020)
Ethiopia and South Sudan contain several population centers and important ecosystems that depend on July&ndash
August rainfall. Here we use two models to understand current and future rainfall: the first ever pan-African numerical model of clima
August rainfall. Here we use two models to understand current and future rainfall: the first ever pan-African numerical model of clima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e57a395895d6b2334c77ec1c73aa338
Autor:
Diriba Korecha, Tamuka Magadzire, Laura Harrison, Frank Davenport, Shraddhanand Shukla, Matayo Indeje, Chris Funk, Gregory Husak, Guleid A. Artan, Catherine Pomposi, Gideon Galu, Faka Dieudonne Nsadisa, Denis Macharia
Publikováno v:
Bulletin of the American Meteorological Society. 99:S91-S96
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ec68a64747ce51dcc30911c2b1759bf
https://doi.org/10.1175/bams-d-17-0112.1
https://doi.org/10.1175/bams-d-17-0112.1
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 45:1709-1714
This paper describes the application of remotely sensed precipitation to the monitoring of floods in a region that regularly experiences extreme precipitation and flood events, often associated with cyclonic systems. Precipitation data, which are der
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd06b77bc415e6085c2c39b688977595
https://doi.org/10.1109/tgrs.2006.883147
https://doi.org/10.1109/tgrs.2006.883147
Autor:
Kwabena O. Asante, Guleid A. Artan, Hussein Gadain, James P. Verdin, Christina Bandaragoda, Jodie Smith
Publikováno v:
Natural Hazards. 43:167-185
Floods are the most common and widespread climate-related hazard on Earth. Flood forecasting can reduce the death toll associated with floods. Satellites offer effective and economical means for calculating areal rainfall estimates in sparsely gauged
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de8d54c74e0cb5a898ecf150a94d23b3
https://doi.org/10.1007/s11069-007-9121-6
https://doi.org/10.1007/s11069-007-9121-6
Publikováno v:
Open-File Report.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d071d2bd4c4743bc723535524a9b6d4
https://doi.org/10.3133/ofr20141206
https://doi.org/10.3133/ofr20141206
Publikováno v:
Hydrological Processes.
Understanding the temporal and spatial dynamics of key water balance components of the Nile River will provide important information for the management of its water resources. This study used satellite-derived rainfall and other key weather variables
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99c9737b9fd183b3d61cdad9c9d81ab1
https://doi.org/10.1002/hyp.7364
https://doi.org/10.1002/hyp.7364
Publikováno v:
Open-File Report.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ae100528e76833633c5947e6ad9d1d4
https://doi.org/10.3133/ofr20071441
https://doi.org/10.3133/ofr20071441