Results 121 to 130 of about 47,554 (280)
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff +1 more
wiley +1 more source
An opportunity index to anticipate when subseasonal predictions are useful
Simultaneously active subseasonal windows of forecast opportunity can be combined into a single opportunity index, which can be used operationally to anticipate enhanced or reduced subseasonal prediction skill. For predictions of temperature anomalies in Switzerland during summer—a region and season with particularly low predictability—skill can nearly
Dominik Büeler +4 more
wiley +1 more source
Intensity dependence of El Niño and La Niña evolution and mixed‐layer heat‐budget processes
El Niño–Southern Oscillation (ENSO) intensity modulates the spatial, temporal, and dynamical evolution of events strongly. El Niño SST anomalies shift westward with decreasing intensity, while La Niña anomalies remain spatially fixed. Stronger events initiate earlier and persist longer than weak events.
Parya Adibi +3 more
wiley +1 more source
Agricultural Meteorology in China
During nearly five weeks in China (May-June 1981), the author visited scientific institutions and experiment stations engaged in agricultural meteorology and climatology research and teaching.
Rosenberg, Norman J.
core
A structurally localized ensemble Kalman filtering approach
We derive an inherently localized ensemble Kalman filtering (EnKF) approach, avoiding the need for any auxiliary localization technique. The idea is to first use the variational Bayesian optimization to approximate the (continuous) state analysis probability density function (pdf) by a product of independent marginal pdfs corresponding to small ...
Boujemaa Ait‐El‐Fquih +1 more
wiley +1 more source
Atmospheric and marine heatwaves are intensifying under climate change, increasingly co-occurring with significant impacts on ecosystems and society. Despite their significance, the effects of their concurrence remain poorly understood, particularly the ...
Laura Paredes-Fortuny +2 more
doaj +1 more source
The Caspian Sea level forced by the atmospheric circulation, as observed and modelled
The Caspian Sea Level (CSL) has experienced large fluctuations with wide-reaching impacts on the population on the coastal regions and on the economy. The CSL variability is dominated by the variability of precipitation over the Volga River basin.
Arpe, K +4 more
core
NowPrecip 2: Precipitation nowcasting in the complex terrain of Switzerland. Part II: Verification
In this work we present the verification of the NowPrecip precipitation nowcasting systems (version 1 and version 2). Using 3.5 years of data over the period 2020–2023, their performance is compared with PySTEPS and the ICON numerical weather prediction ensemble by computing deterministic and probabilistic metrics.
A. Ntoumos +8 more
wiley +1 more source
The article uses an increment of the Arima method called Sarimax, which was used in recent articles. Sarimax allows the use of explanatory variables in the model, in the work were used climatic indexes provided by NOAA, NASA and other institutes that ...
Rodrigues, A (via Mendeley Data)
core +1 more source
We demonstrate that the spread–error relationship, rank histogram, and continuous rank probability score reliability component can falsely indicate reliability under climatological variance biases, yielding ensemble members that are overly or insufficiently extreme.
Arlan Dirkson, Mark Buehner
wiley +1 more source

