Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Walter Acevedo"'
Publikováno v:
Ingenierías USBMed, Vol 10, Iss 2, Pp 2-7 (2019)
This article was a proposal of a two-dimensional boxplot, anextension of the univariate Tukey boxplot. This graph consists of twoconvex polygons, which are oriented in the direction of an adjusted straightline, called “Tukey line.” The two-dimens
Externí odkaz:
https://doaj.org/article/a4310e5f24254349b1a0757fbd870a81
Autor:
Christine Sgoff, Walter Acevedo, Zoi Paschalidi, Sven Ulbrich, Elisabeth Bauernschubert, Thomas Kratzsch, Roland Potthast
Publikováno v:
Quarterly Journal of the Royal Meteorological Society. 148:1752-1767
We present an innovational way of assimilating visible and infrared observations of clouds into the weather forecasting model for regional scale: ICON-D2 (ICOsahedral Nonhydrostatic), which is operated by the German Weather Service (Deutscher Wetterd
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43823613d6b2c43bc692aa5defd52d58
https://doi.org/10.5194/ems2022-39
https://doi.org/10.5194/ems2022-39
Autor:
Frederik Kurzrock, Andrea Hochebner, Quentin Millerioux, Nicolas Schmutz, Maria Reinhardt, Walter Acevedo, Roland Potthast
Numerical weather prediction (NWP) models such as the Weather Research and Forecasting (WRF) model allow to forecast cloud processes at high spatio-temporal resolutions of a few kilometres and minutes. Nevertheless, WRF is known to underestimate the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd07711e3232feffb5d8624802f439f1
https://doi.org/10.5194/ems2022-328
https://doi.org/10.5194/ems2022-328
Ground-based remote sensing of wind is currently dominated by radar profilers and wind lidars, which deliver profiles of excellent quality and high update rates. Unfortunately, the relative high costs of these devices have so far strongly limited the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd04ceaebdcccc1417282cb6e54c826d
https://doi.org/10.5194/ems2022-574
https://doi.org/10.5194/ems2022-574
Autor:
Zoi Paschalidi, Walter Acevedo, Meike Hellweg, Thomas Kratzsch, Roland Potthast, Jens Nachtigall
The growing availability of high resolved meteorological measurements coming from automobiles puts forward the possibility of developing real time weather forecast systems, which appears to be an essential key of autonomous driving enhancement. In th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05c3628bf491e4ced24c39fac048892c
https://doi.org/10.5194/ems2021-385
https://doi.org/10.5194/ems2021-385
Autor:
Zoi Paschalidi, Christoph Stiller, Meike Hellweg, John-Walter Acevedo-Valencia, Jens Nachtigall, Thomas Kratzsch
Publikováno v:
VTC Spring
To increase the spatial and temporal resolution of weather forecasts and thereby ensure safe autonomous driving functions, a denser network of measurements is necessary. This paper presents the project Fleet Weather Map, which investigates the potent
This paper investigates the applicability of the Vaganov–Shashkin–Lite (VSL) forward model for tree-ring-width chronologies as observation operator within a proxy data assimilation (DA) setting. Based on the principle of limiting factors, VSL com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c899b39bb3f94f069dfe112115a5987
https://publishup.uni-potsdam.de/files/43636/pmnr892.pdf
https://publishup.uni-potsdam.de/files/43636/pmnr892.pdf
Publikováno v:
Climate of the Past, 14 . pp. 1345-1360.
Paleo-proxy observations have been recently used to constrain the climate models through data assimilation (DA). However, both DA and climate models are computationally very expensive. Moreover, in paleo-DA, the assimilation period is usually too lon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1011a4c8fc173f315c5056e074a526e2
https://doi.org/10.5194/cp-2017-140
https://doi.org/10.5194/cp-2017-140
Particle filters (also called sequential Monte Carlo methods) are widely used for state and parameter estimation problems in the context of nonlinear evolution equations. The recently proposed ensemble transform particle filter (ETPF) (S.~Reich, {\it
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dca6d6eddf2c923639e526818f71ecc6
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/56392
https://publishup.uni-potsdam.de/frontdoor/index/index/docId/56392