Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Ulrich Hamann"'
Publikováno v:
Geophysical Research Letters, Vol 50, Iss 8, Pp n/a-n/a (2023)
Abstract Predictions of thunderstorm‐related hazards are needed in several sectors, including first responders, infrastructure management and aviation. To address this need, we present a deep learning model that can be adapted to different hazard t
Externí odkaz:
https://doaj.org/article/c9a8d0e82d0a4be294c333d67cc41fd3
Publikováno v:
Remote Sensing, Vol 10, Iss 6, p 939 (2018)
In this study, we develop and compare satellite rainfall retrievals based on generalized linear models and artificial neural networks. Both approaches are used in classification mode in a first step to identify the precipitating areas (precipitation
Externí odkaz:
https://doaj.org/article/43c77015cc764fbf82e4486109ec573b
Publikováno v:
Remote Sensing, Vol 9, Iss 11, p 1147 (2017)
The complex problem of quantitative precipitation estimation in the Alpine region is tackled from four different points of view: (1) the modern MeteoSwiss network of automatic telemetered rain gauges (GAUGE); (2) the recently upgraded MeteoSwiss dual
Externí odkaz:
https://doaj.org/article/3eb8e66a4c5240488658eddbecdfb055
Deep generative modeling is able to generate highly realistic atmospheric fields, one prominent example being precipitation. So far, almost all studies have used generative adversarial networks (GANs) for this purpose, but recent progress in machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22b0e3c2e1ff1af71f1b74d45c61609b
https://doi.org/10.5194/egusphere-egu23-9531
https://doi.org/10.5194/egusphere-egu23-9531
Convection is a complex spatiotemporal process, which has made it a particularly attractive application for deep learning, which excels at both spatial and temporal reasoning. We have developed deep learning models for predicting the occurrence of ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23fda671efada663b72fb46a93a51863
https://doi.org/10.5194/egusphere-egu23-9488
https://doi.org/10.5194/egusphere-egu23-9488
Severe convective weather events, such as hail, lightning and heavy rainfall pose a great threat to humans and cause a considerable amount of economic damage. Nowcasting convective storms can provide precise and timely warnings and, thus, mitigate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::666d3632ffe8ce1ebb2055955dae2460
https://doi.org/10.5194/egusphere-egu23-12127
https://doi.org/10.5194/egusphere-egu23-12127
Publikováno v:
eISSN
Severe convective weather events, such as hail, lightning and heavy rainfall pose a great threat to humans and cause a considerable amount of economic damage. Nowcasting convective storms can provide warning signals and mitigate the impact of these s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d0d92be31c2b4402b7ef20a222200d8
https://doi.org/10.5194/egusphere-2023-551
https://doi.org/10.5194/egusphere-2023-551
Severe convective weather events, such as hail, lightning and heavy rainfall pose a great threat to humans and cause a considerable amount of economic damage. Nowcasting convective storms can provide precise and timely warnings and, thus, mitigate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c0a30549bb53d8f2bd6a85fa8cb2449c
https://doi.org/10.5194/ecss2023-59
https://doi.org/10.5194/ecss2023-59
A deep learning model is presented to nowcast the occurrence of lightning at a five-minute time resolution 60 minutes into the future. The model is based on a recurrent-convolutional architecture that allows it to recognize and predict the spatiotemp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b6fd4fbc8777daa8219300f42745898
Wie wollen wir im Alter leben und wohnen? Diese Arbeit entwickelt Grundlagen für ein Lebens- und Wohnraumkonzept für die nachberufliche Lebensphase, aufgrund einer strukturierten Ausgangsanalyse. Die gesellschaftliche und demografische Entwicklung
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff856da69e2041996215ecee2a8448ed
https://hdl.handle.net/11475/26944
https://hdl.handle.net/11475/26944