Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Xavier Llort"'
Publikováno v:
Meteorologische Zeitschrift, Vol 15, Iss 5, Pp 551-557 (2006)
Data assimilation in conjunction with numerical weather prediction and a variety of hydrologic applications now depend on satellite observations of precipitation. However, providing values of precipitation is not sufficient unless they are accompanie
Externí odkaz:
https://doaj.org/article/108f6cb627f541fc9fe6c7c7b69090ea
Publikováno v:
Meteorologische Zeitschrift, Vol 15, Iss 5, Pp 505-512 (2006)
Externí odkaz:
https://doaj.org/article/115b690c4225462e958a1b3d00b0127d
Publikováno v:
Bulletin of the American Meteorological Society 101 (2020) 6
Bulletin of the American Meteorological Society, 101(6), 513-518
Bulletin of the American Meteorological Society, 101(6), 513-518
Publikováno v:
Bulletin of the American Meteorological Society, 4, E368. American Meteorological Society
Bulletin of the American Meteorological Society, 101(4), E368-E393
Bulletin of the American Meteorological Society
Bulletin of the American Meteorological Society 101 (2020) 4
Bulletin of the American Meteorological Society, 101(4), E368-E393
Bulletin of the American Meteorological Society
Bulletin of the American Meteorological Society 101 (2020) 4
Drought early warning systems (DEWS) have been developed in several countries in response to high socioeconomic losses caused by droughts. In Europe, the European Drought Observatory (EDO) monitors the ongoing drought and forecasts soil moisture anom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31e6e9d49544e491472c4ddc97303620
https://dspace.library.uu.nl/handle/1874/412485
https://dspace.library.uu.nl/handle/1874/412485
Autor:
Alexandre Sanchez, Philippe Gourbesville, Xavier Llort, Nicolas Rebora, Eurico De Carvalho Filho, Daniel Sempere-Torres, Morgan Abily
Publikováno v:
Advances in Hydroinformatics ISBN: 9789811554353
ANYWHERE project aims to produce a platform to empower exposed responder institutions and citizens to enhance their anticipation and pro-active capacity of response to face extreme and high-impact weather and climate events. This is achieved through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b63b05eaa11f3538e2576745b87b639c
https://doi.org/10.1007/978-981-15-5436-0_3
https://doi.org/10.1007/978-981-15-5436-0_3
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 50:675-686
Rainfall intensities during heavy rain events over the continental U.S. are compared for several advanced radar products. These products include the following: 1) Tropical Rainfall Measuring Mission (TRMM) precipitation radar (PR) near-surface estima
Publikováno v:
Atmospheric Research
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
For the purpose of generating meaningful stochastic ensembles of radar estimates of rainfall, a relatively simple and objective method of separating a radar rainfall image into signal and noise is described. An alternative noise field, with the same
Publikováno v:
Meteorologische Zeitschrift. 15:551-557
Data assimilation in conjunction with numerical weather prediction and a variety of hydrologic applications now depend on satellite observations of precipitation. However, providing values of precipitation is not sufficient unless they are accompanie
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
Universitat Politècnica de Catalunya (UPC)
Recercat. Dipósit de la Recerca de Catalunya
instname
The generating of rainfall fields with a higher resolution than so far observed and with realistic features is a challenge with multiple applications. In particular it could be useful to quantify the uncertainty introduced by the different sources of
Publikováno v:
Atmospheric Science Letters. 6:2-6
The distribution of rain rate is of great concern for many hydrological applications. Probability distribution functions (pdf) of rain rate can now be obtained from spaceborne radar observations. Effort to evaluate these pdfs using ground observation