Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ghiggi Gionata"'
Autor:
Xiong, Jinghua, Abhishek, Xu, Li, Chandanpurkar, Hrishikesh A., Famiglietti, James S., Zhang, Chong, Ghiggi, Gionata, Guo, Shenglian, Pan, Yun, Vishwakarma, Bramha Dutt
The prevailing approaches for ET retrievals are either limited in spatiotemporal coverage or largely influenced by choice of input data or simplified model physics, or a combination thereof. Here, using an independent mass conservation approach, we d
Externí odkaz:
http://arxiv.org/abs/2305.08881
Autor:
Billault-Roux, Anne-Claire1 (AUTHOR), Ghiggi, Gionata1 (AUTHOR), Jaffeux, Louis2 (AUTHOR), Martini, Audrey3 (AUTHOR), Viltard, Nicolas3 (AUTHOR), Berne, Alexis1 (AUTHOR) alexis.berne@epfl.ch
Publikováno v:
Atmospheric Measurement Techniques. 2023, Vol. 16 Issue 4, p911-940. 30p.
Autor:
Ghiggi Gionata, Candolfi Kim, Longchamp Régis, Weil Charlotte, Uijlenhoet Remko, Unal Christine, Schleiss Marc, Raupach Timothy H., Berne Alexis
The raindrop size distribution (DSDs) describes the number and size distributions of raindrops in a volume of air. It is key to model the propagation of microwave signals through the atmosphere (crucial for telecommunication and remote sensing), to i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae4cbdc2ecef07d22bf8a439249f81e9
Autor:
Jinghua Xiong, Abhishek, Li Xu, Chandanpurkar, Hrishikesh A., Famiglietti, James S., Chong Zhang, Ghiggi, Gionata, Shenglian Guo, Yun Pan, Vishwakarma, Bramha Dutt
Publikováno v:
Earth System Science Data Discussions; 5/25/2023, p1-47, 47p
Akademický článek
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Autor:
Ghiggi, Gionata1,2 (AUTHOR) gionata.ghiggi@epfl.ch, Humphrey, Vincent2,3 (AUTHOR), Seneviratne, Sonia I.2 (AUTHOR), Gudmundsson, Lukas2 (AUTHOR)
Publikováno v:
Earth System Science Data. 2019, Vol. 11 Issue 4, p1655-1674. 20p. 3 Charts, 12 Graphs.
Autor:
Billault-Roux, Anne-Claire, Ghiggi, Gionata, Jaffeux, Louis, Martini, Audrey, Viltard, Nicolas, Berne, Alexis
Publikováno v:
Atmospheric Measurement Techniques Discussions; 7/21/2022, p1-41, 41p
Publikováno v:
Scientific Data; 5/23/2022, Vol. 9 Issue 1, p1-1, 1p
Freshwater resources are of high societal relevance, and understanding their past variability is vital to water management in the context of ongoing climate change. This study introduces a global gridded monthly reconstruction of runoff covering the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97c5aeba4338be3a78e787fb2698cb98
Freshwater resources are of high societal relevance, and understanding their past variability is vital to water management in the context of ongoing climate change. This study introduces a global gridded monthly reconstruction of runoff covering the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::41bb4c6beb3972954b13e8d06c94ae1e
https://infoscience.epfl.ch/record/272807
https://infoscience.epfl.ch/record/272807