Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Matthias Jerg"'
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1247 (2023)
The newest and upcoming geostationary passive imagers have thermal infrared channels comparable to those of more established instruments, but their spectral response functions still differ significantly. Therefore, retrievals developed for a certain
Externí odkaz:
https://doaj.org/article/576c0e4de56249e7a7ca4d01c3561959
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3372 (2022)
Thunderstorms are among the most common and most dangerous meteorological hazards in the world. They cause lightning and can lead to strong wind gusts, squall lines, hail and heavy precipitation combined with flooding, and therefore pose a threat to
Externí odkaz:
https://doaj.org/article/d3d0c2eb6a12452e90ba43a4cc3b45f5
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2255 (2020)
The predictability of aviation turbulence is influenced by energy-intensive flow patterns that are significantly smaller than the horizontal grid scale of current numerical weather prediction (NWP) models. The parameterization of these subgrid scale
Externí odkaz:
https://doaj.org/article/069e2489cdb0408780d639705a41eabb
Autor:
Matthias Jerg
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2197 (2019)
Recently, remote sensing for traffic and especially aviation meteorology has become a focus of attention by the aviation industry and air navigation services [...]
Externí odkaz:
https://doaj.org/article/de971adc6dcb4e1397dcc4ec57fb69fb
Publikováno v:
Remote Sensing, Vol 11, Iss 4, p 443 (2019)
This study presents a novel approach for the early detection of developing thunderstorms. To date, methods for the detection of developing thunderstorms have usually relied on accurate Atmospheric Motion Vectors (AMVs) for the estimation of the cooli
Externí odkaz:
https://doaj.org/article/12fd7db08a6a4baa96ef74e0dd51c9e2
Publikováno v:
Remote Sensing, Vol 10, Iss 3, p 386 (2018)
This study is motivated by the great importance of Cbs for aviation safety. The study investigates the role of Numerical Weather Prediction (NWP) filtering for the remote sensing of Cumulonimbus Clouds (Cbs) by implementation of about 30 different ex
Externí odkaz:
https://doaj.org/article/a22a42de91a04292a937ed9cdf38bbd2
During the last few years, DWD has developed a pioneering nowcasting procedure (NCS-A) for thunderstorms and strong convection based on intelligent combination of lightning data, satellite information and Numerical Weather Prediction. The atmospheric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d138357a62365bcd715fc924f7396137
https://doi.org/10.5194/egusphere-egu23-1888
https://doi.org/10.5194/egusphere-egu23-1888
Since July 2020 the DWD WarnWetter-App comprises the Crowdsourcing module “User Reports”. This module provides users the functionality to report observations about current weather conditions and severe weather to DWD and other users. The user rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca786cd2f9141d349fc68de7921f2ea4
https://doi.org/10.5194/ecss2023-54
https://doi.org/10.5194/ecss2023-54
In November 2021, DWD launched the pilot phase of the new DWD Geoportal at dwd-geoportal.de. It offers user-friendly exploration of DWD's Open Data, combining access to data, metadata, and documentation along with fulltext search and interactive prev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c1ed2754ddb595dd60f96d47472f7ea
https://doi.org/10.5194/ems2022-468
https://doi.org/10.5194/ems2022-468
Since July 2020 the DWD WarnWetter-App comprises the Crowdsourcing-module “User Reports”. This module provides users the functionality to report observations about current weather conditions and severe weather to DWD and other users. The data is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae8dafc332934e039841199c1d0fc530
https://doi.org/10.5194/ems2022-480
https://doi.org/10.5194/ems2022-480