Results 171 to 180 of about 70,613 (293)

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

A comprehensive UK crop yield dataset incorporating satellite, weather, and soil type information. [PDF]

open access: yesSci Data
Corcoran E   +9 more
europepmc   +1 more source

An opportunity index to anticipate when subseasonal predictions are useful

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

Diagnosing the 11‐year solar cycle's influence on the East Atlantic pattern

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
A previously unidentified solar‐cycle response in the East Atlantic pattern is found in late winter at lag +3 years with larger amplitude than the NAO response. A statistically significant NAO response to the solar cycle is seen in late winter at lag 0 years.
Stergios Misios   +4 more
wiley   +1 more source

Estimates of rabies risk from vampire bats to livestock in Colombia. [PDF]

open access: yesRev MVZ Cordoba
Medina-Rodríguez AT   +6 more
europepmc   +1 more source

Bivariate postprocessing of wind vectors

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner   +3 more
wiley   +1 more source

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