Results 91 to 100 of about 648 (233)
NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part I: Methods
In this work we present the methods of the areal precipitation nowcasting system NowPrecip version 2. In this version a new methodology is introduced, which, although it shares philosophy and techniques with the original methodology of NowPrecip version 1, can be considered as distinct from that.
I. V. Sideris +7 more
wiley +1 more source
Hybrid weather prediction using spectral nudging toward machine-learning forecasts
21 pages, 11 figures, Supporting ...
Polichtchouk, I. +6 more
openaire +2 more sources
Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis +7 more
wiley +1 more source
In order to favour the downstream from the European MyOcean service of large scale ocean forecasts to the national service of coastal ocean forecasts, studies of new methods improving the downscaling between global or regional ocean models and coastal ...
Dumas, Franck +7 more
core
In this paper, a regional climate model (Seoul National University Regional Climate Model (SNURCM)) was configured by coupling an advanced land surface model with the Penn State University/National Center for Atmospheric Research mesoscale model.
Lee, DK +5 more
core +1 more source
Abstract The presence of Arctic clouds plays a crucial role in the evolution of the surface temperature of Arctic sea ice. However, large biases in cloud representation remain in state‐of‐the‐art weather and climate models. In this study, we use observational data from the one‐year Arctic ship campaign Multi‐disciplinary drifting Observatory for the ...
Luise Schulte +5 more
wiley +1 more source
Forecast‐Error Diagnostics in Neural Weather Models
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan +2 more
wiley +1 more source
ABSTRACT Discourses of energy and energy transition have become increasingly prevalent in informal and formal learning spaces. Energy transitions differ across regions, contexts, and technologies. The contextual nature of energy is an opportunity for a sociotechnical approach to its study.
Desen S. Özkan +2 more
wiley +1 more source
I Better “Not to”: Voluntary Sustainability Constraints in Mindful Organic Food Consumption
ABSTRACT The purpose of this study is to understand constraints from limitations and skepticism to a form of agency in consumer ethics. Framed in Granular Interaction Thinking theory, our study addresses the research question of how the voluntary sustainability constraints leverage mindful consumption.
Neha Sharma +3 more
wiley +1 more source
Cannabis Agritourism and Local Pathways Toward Sustainable Development Goals in Northern California
ABSTRACT Recent acceleration in global cannabis legalization offers a new context for examining the multiscale links between agritourism, sustainability, and international policy frameworks. In this study, Responsible Tourism is used to conceptualize cannabis agritourism in Northern California's Emerald Triangle as a strategy that may advance targets ...
Susan Dupej +2 more
wiley +1 more source

