Zobrazeno 1 - 10
of 130
pro vyhledávání: '"Roland B. Stull"'
Publikováno v:
Journal of Applied Meteorology and Climatology. 59:2075-2092
Statistical downscaling (SD) derives localized information from larger-scale numerical models. Convolutional neural networks (CNNs) have learning and generalization abilities that can enhance the downscaling of gridded data (Part I of this study expe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3b4a1df496d61658da96d9c1afddc8d
https://doi.org/10.1175/jamc-d-20-0058.1
https://doi.org/10.1175/jamc-d-20-0058.1
Publikováno v:
Journal of Applied Meteorology and Climatology. 59:2057-2073
Many statistical downscaling methods require observational inputs and expert knowledge and thus cannot be generalized well across different regions. Convolutional neural networks (CNNs) are deep-learning models that have generalization abilities for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27245e74f479775e05573b952a3ee320
https://doi.org/10.1175/jamc-d-20-0057.1
https://doi.org/10.1175/jamc-d-20-0057.1
Publikováno v:
Boundary-Layer Meteorology. 175:297-308
Widespread and persistent summer multi-day episodes of dense wildfire smoke affected western Canada in 2017 and 2018. These events often occurred under otherwise clear-sky, anticyclonic weather conditions and can have significant impacts on surface t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42d775e5f77d9f2afbd224f1eb99aa16
https://doi.org/10.1007/s10546-020-00505-0
https://doi.org/10.1007/s10546-020-00505-0
Autor:
Linh Nhat Luu, Sihan Li, Gabriel A. Vecchi, Sarah F. Kew, Rosie Howard, Dim Coumou, Rémy Bonnet, Robert Vautard, Mathias Hauser, Michael Wehner, Kristie L. Ebi, Geert Jan van Oldenborgh, Roland B. Stull, Julie Arrighi, Maarten van Aalst, Sjoukje Philip, Friederike E. L. Otto, Carolina Pereira Marghidan, Faron S. Anslow, Wenchang Yang, Dominik L. Schumacher, Flavio Lehner, Roop Singh, Jordis Tradowsky, Sonia I. Seneviratne, Chris Rodell, Nathan P. Gillett
Towards the end of June 2021, temperature records were broken by several degrees Celsius in several cities in the Pacific northwest areas of the U.S. and Canada, leading to spikes in sudden deaths, and sharp increases in hospital visits for heat-rela
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b6eacf9a56896233052afa708d07933
https://esd.copernicus.org/preprints/esd-2021-90/
https://esd.copernicus.org/preprints/esd-2021-90/
Publikováno v:
Weather and Forecasting. 34:1097-1115
This study evaluates the grid-length dependency of the Weather Research and Forecasting (WRF) Model precipitation performance for two cases in the Southern Great Plains of the United States. The aim is to investigate the ability of different cumulus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3cdb5530d6c5ef1eedd8a510c36db8b
https://doi.org/10.1175/waf-d-18-0178.1
https://doi.org/10.1175/waf-d-18-0178.1
Autor:
Henryk Modzelewski, David M. Siuta, Roland B. Stull, Gregory West, Roland Schigas, Timothy C. Y. Chui
Publikováno v:
Journal of Atmospheric and Oceanic Technology. 36:491-509
Cloud-computing resources are increasingly used in atmospheric research and real-time weather forecasting. The aim of this study is to explore new ways to reduce cloud-computing costs for real-time numerical weather prediction (NWP). One way is to co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84414dd3d19a1f06051d69e675ac5b54
https://doi.org/10.1175/jtech-d-18-0142.1
https://doi.org/10.1175/jtech-d-18-0142.1
Publikováno v:
Journal of Applied Meteorology and Climatology. 58:291-315
This study evaluates how well reanalyses represent daily and multiday accumulated precipitation (hereinafter daily PCP) over British Columbia, Canada (Part I evaluated 2-m temperature). Reanalyses are compared with observations from 66 meteorological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e58bc03afe5802dbd4f6ffed1f148a7a
https://doi.org/10.1175/jamc-d-18-0188.1
https://doi.org/10.1175/jamc-d-18-0188.1
Publikováno v:
Journal of Atmospheric and Oceanic Technology.
We present a novel approach for the automated quality control (QC) of precipitation for a sparse station observation network within the complex terrain of British Columbia, Canada. Our QC approach uses Convolutional Neural Networks (CNNs) to classify
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e5004cebc6a6ddc034515770bfd4aa0
https://doi.org/10.1175/jtech-d-20-0081.1
https://doi.org/10.1175/jtech-d-20-0081.1
Publikováno v:
Weather and Forecasting.
Physics parameterizations in the Weather Research and Forecasting (WRF) model are systematically varied to investigate precipitation forecast performance over the complex terrain of southwest British Columbia (BC). Comparing a full year of modelling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0aed762e962b56a1a09b930ef50fd8f
https://doi.org/10.1175/waf-d-20-0195.1
https://doi.org/10.1175/waf-d-20-0195.1
Autor:
Nadya Moisseeva, Roland B. Stull
Publikováno v:
Atmospheric Chemistry and Physics, Vol 21, Pp 1407-1425 (2021)
The buoyant rise and the resultant vertical distribution of wildfire smoke in the atmosphere have a strong influence on downwind pollutant concentrations at the surface. The amount of smoke injected vs. height is a key input into chemical transport m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb98193206f67797cb3fa4eb401368c2
https://doi.org/10.5194/acp-2020-827
https://doi.org/10.5194/acp-2020-827