Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Tristan Hauser"'
Autor:
David Cote, Cassandra A. Konecny, Jennica Seiden, Tristan Hauser, Trond Kristiansen, Ben J. Laurel
Publikováno v:
Frontiers in Marine Science, Vol 8 (2021)
Climate change will alter ecosystems and impose hardships on marine resource users as fish assemblages redistribute to habitats that meet their physiological requirements. Marine gadids represent some of the most ecologically and socio-economically i
Externí odkaz:
https://doaj.org/article/b0854964cced41bfa615e632ba474ad0
Autor:
Tristan Hauser
A lot of attention has been given to the consequences of the latest strong El Nino event. People often talk about meteorological phenomena as El Nino (or La Nina) conditions, but what are these, and how do we come about our notions of what is a ’ty
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b6589d6ae3f2c3b5828d9b7da959eb5
https://doi.org/10.22541/au.159008303.31313438
https://doi.org/10.22541/au.159008303.31313438
Publikováno v:
Progress in Oceanography. 132:197-219
The atmosphere and ocean of the North Atlantic have undergone significant changes in the past century. To understand these changes, their mechanisms, and their regional implications requires a quantitative understanding of processes in the coupled oc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad8fc84d9b192f0ff4f0a23ad44f9bd8
https://doi.org/10.1016/j.pocean.2014.10.008
https://doi.org/10.1016/j.pocean.2014.10.008
This paper presents a computationally efficient stochastic approach to simulate atmospheric fields (specifically monthly mean temperature and precipitation) on large spatial-temporal scales. In analogy with Weather Generators (WG), the modelling appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74b805cba20bd31fc00df77ea10f5405
https://doi.org/10.5194/gmd-2017-276
https://doi.org/10.5194/gmd-2017-276
Autor:
Tristan Hauser, Entcho Demirov
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 27:1533-1551
The article presents an approach for creating a computationally efficient stochastic weather generator. In this work the method is tested by the stochastic simulation of sea level pressure over the sub-polar North Atlantic. The weather generator incl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4db306f13879aad3a9a702ac7ed4f2a0
https://doi.org/10.1007/s00477-013-0688-z
https://doi.org/10.1007/s00477-013-0688-z
Publikováno v:
All Days.
Fog in northern climates and Arctic environs can be a risk to helicopter operations and shipping interests, as are high seas from severe storms that frequent these regions. Visibility conditions and forecasts determine whether helicopters can safely
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f2e803e59365bd737c4dae9a954aabb
https://doi.org/10.4043/27406-ms
https://doi.org/10.4043/27406-ms
Autor:
Simon J. Mason, Maarten van Aalst, Ana Lopez, Florian Pappenberger, Jurjen Wagemaker, Alexandra Rueth, Pablo Suarez, Elisabeth Stephens, Tristan Hauser, Irene Amuron, Janot Mendler de Suarez, Erin Coughlan de Perez, Deus Bamanya, Ervin Zsoter, Bart van den Hurk, Brenden Jongma
Publikováno v:
Hydrology and Earth System Sciences, Vol 20, Iss 9, Pp 3549-3560 (2016)
Hydrology and Earth System Sciences Discussions
Hydrology and Earth System Sciences Discussions
Too often, credible scientific early warning information of increased disaster risk does not result in humanitarian action. With financial resources tilted heavily towards response after a disaster, disaster managers have limited incentive and abilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f83c0425da9923ac3533d1d9c4a650e
https://centaur.reading.ac.uk/66473/4/hess-2016-163.pdf
https://centaur.reading.ac.uk/66473/4/hess-2016-163.pdf
Publikováno v:
Climate Dynamics. 39:137-154
We demonstrate and validate a Bayesian approach to model calibration applicable to computationally expensive General Circulation Models (GCMs) that includes a posterior estimate of the intrinsic structural error of the model. Bayesian artificial neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8ac12e01b6fdbbdbfe43b9d411550f0
https://doi.org/10.1007/s00382-011-1168-0
https://doi.org/10.1007/s00382-011-1168-0