Stochastic climate theory and modeling
Stochastic methods are a crucial area in contemporary climate research and are increasingly
being used in comprehensive weather and climate prediction models as well as reduced …
being used in comprehensive weather and climate prediction models as well as reduced …
[PDF][PDF] A description of the advanced research WRF version 4
The Weather Research and Forecasting (WRF) Model is an atmospheric modeling system
designed for both research and numerical weather prediction. WRF is an open-source …
designed for both research and numerical weather prediction. WRF is an open-source …
Mathematical capabilities of chatgpt
We investigate the mathematical capabilities of two iterations of ChatGPT (released 9-January-2023
and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, …
and 30-January-2023) and of GPT-4 by testing them on publicly available datasets, …
Climate change and infectious diseases in the Arctic: establishment of a circumpolar working group
…, N Ogden, ML Børresen, J Berner… - … journal of circumpolar …, 2014 - Taylor & Francis
The Arctic, even more so than other parts of the world, has warmed substantially over the
past few decades. Temperature and humidity influence the rate of development, survival and …
past few decades. Temperature and humidity influence the rate of development, survival and …
Zoonotic infections in Alaska: disease prevalence, potential impact of climate change and recommended actions for earlier disease detection, research, prevention …
…, AJ Parkinson, R Gerlach, J Berner - International Journal of …, 2013 - Taylor & Francis
Over the last 60 years, Alaska's mean annual temperature has increased by 1.6C, more than
twice the rate of the rest of the United States. As a result, climate change impacts are more …
twice the rate of the rest of the United States. As a result, climate change impacts are more …
[HTML][HTML] A spectral stochastic kinetic energy backscatter scheme and its impact on flow-dependent predictability in the ECMWF ensemble prediction system
J Berner, GJ Shutts, M Leutbecher… - Journal of the …, 2009 - journals.ametsoc.org
… Berner, J., 2005: Linking nonlinearity and non-Gaussianity of … Berner, 2008: A stochastic
convective approach to account for model uncertainity due to unresolved humidity variability. J. …
convective approach to account for model uncertainity due to unresolved humidity variability. J. …
[HTML][HTML] Stochastic parameterization: Toward a new view of weather and climate models
… Berner, J., 2005: Linking nonlinearity and non-Gaussianity of planetary wave behavior by
the Fokker–Planck equation. J. Atmos. Sci., 62, 2098–2117, doi:10.1175/JAS3468.1 …
the Fokker–Planck equation. J. Atmos. Sci., 62, 2098–2117, doi:10.1175/JAS3468.1 …
[HTML][HTML] Model uncertainty in a mesoscale ensemble prediction system: Stochastic versus multiphysics representations
J Berner, SY Ha, JP Hacker, A Fournier… - Monthly Weather …, 2011 - journals.ametsoc.org
Berner, J., FJ Doblas-Reyes, TN Palmer, G. Shutts, and A. Weisheimer, 2008: Impact of a
quasi-stochastic cellular automaton backscatter scheme on the systematic error and seasonal …
quasi-stochastic cellular automaton backscatter scheme on the systematic error and seasonal …
Structure of the supernumerary ring and giant rod chromosomes in adipose tissue tumors
…, A Forus, JM Coindre, JM Berner… - Genes …, 1999 - Wiley Online Library
Supernumerary ring or giant rod marker chromosomes are a characteristic of well‐differentiated
liposarcomas (WDLPS) and atypical lipomas (ALP) and are often observed as the sole …
liposarcomas (WDLPS) and atypical lipomas (ALP) and are often observed as the sole …
The modern mathematics of deep learning
We describe the new field of the mathematical analysis of deep learning. This field emerged
around a list of research questions that were not answered within the classical framework of …
around a list of research questions that were not answered within the classical framework of …