Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Dave Munday"'
Publikováno v:
Environmental Data Science, Vol 1 (2022)
There has been much recent interest in developing data-driven models for weather and climate predictions. However, there are open questions regarding their generalizability and robustness, highlighting a need to better understand how they make their
Externí odkaz:
https://doaj.org/article/2cd7deccead842c98e4fbdb3a4c7eb40
Data-driven models are becoming increasingly competent at tasks fundamental to weather and climate prediction. Relative to machine learning (ML) based atmospheric models, which have shown promise in short-term forecasting, ML-based ocean forecasting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2aca6876eebdc15293da3b8eeb7f83df
https://doi.org/10.5194/egusphere-egu23-3340
https://doi.org/10.5194/egusphere-egu23-3340
The recent boom in machine learning and data science has led to a number of new opportunities in the environmental sciences. In particular, process-based weather and climate models (simulators) represent the best tools we have to predict, understand
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3590298559400fa817f437d0eeaf0639
https://doi.org/10.5194/egusphere-egu22-13228
https://doi.org/10.5194/egusphere-egu22-13228
There has been much recent interest in developing data-driven models for weather and climate predictions. These have shown reasonable success in modelling atmospheric dynamics over short time scales, however there are open questions regarding the sen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b2cae354535b8937c5c27262b67f2b2
https://gmd.copernicus.org/preprints/gmd-2021-132/
https://gmd.copernicus.org/preprints/gmd-2021-132/
Relative wind stress (calculated by including the surface current terms) is known to remove energy from mesoscale eddies, but how they respond to this damping mechanism over their lifetime is poorly understood. A method for predicting eddy energy is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::161205c5a9432abf975e7906402a6506
https://doi.org/10.5194/egusphere-egu21-10862
https://doi.org/10.5194/egusphere-egu21-10862
The recent boom in machine learning and data science has led to a number of new opportunities in the environmental sciences. In particular, climate models represent the best tools we have to predict, understand and potentially mitigate climate change
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dd1c3dca20dc3af9ce6fcaea1138c98
https://doi.org/10.5194/egusphere-egu2020-19339
https://doi.org/10.5194/egusphere-egu2020-19339
Autor:
Dave, Munday
Publikováno v:
Community practitioner : the journal of the Community Practitioners'Health Visitors' Association. 89(6)
Publikováno v:
Emergency nurse : the journal of the RCN Accident and Emergency Nursing Association. 14(1)
Judith Barnes' study on the role of mo- bile medical teams (Emergency Nurse, February) raises serious questions about the level and consistency of major incident training across the country.
Autor:
Osborne Katie, Jane, Beach, Debbie, Brown, Katerina, Kolyva, Natasha, Dave, Dave, Munday, Angela, Lewis, Obi, Amadi
Publikováno v:
Community practitioner : the journal of the Community Practitioners'Health Visitors' Association. 88(10)