Results 231 to 240 of about 274,374 (335)
Winter post-droughts amplify extreme nitrate concentrations in German rivers [PDF]
Felipe Saavedra +7 more
openalex +1 more source
This review explores climate predictions as actionable decision‐making tools, focusing on the Mediterranean. It examines transforming forecasts into user‐defined information through bias adjustment, downscaling and impact models. Highlighting collaborative EU initiatives, it addresses challenges like limited forecasting skill and data accessibility ...
Silvio Gualdi +12 more
wiley +1 more source
Stem water potential measurements obtained using standard methodologies diverge under extreme drought in tomato and grapevine. [PDF]
Rodriguez-Dominguez CM +3 more
europepmc +1 more source
Resolving the Dust Bowl paradox of grassland responses to extreme drought. [PDF]
Knapp AK +12 more
europepmc +1 more source
A transient ensemble of convection‐permitting climate simulations is used to compute bias‐corrected user‐relevant climate indices for Germany under recent and future climate conditions, both considering high spatial resolution and uncertainty estimations. For high temperature indices, a clear increase is observed, for example, for hot days and tropical
Joaquim G. Pinto +6 more
wiley +1 more source
Responses to extreme drought in wintering waterbirds: a multi-species approach. [PDF]
Wang C, Xia S, Yu X, Wen L.
europepmc +1 more source
Evolution of pathogen response genes associated with increased disease susceptibility during adaptation to an extreme drought in a Brassica rapa plant population. [PDF]
O'Hara NB +4 more
europepmc +1 more source
Vegetation modulates the impact of climate extremes on gross primary production
Brenning, A. +5 more
core +1 more source
Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data
There is the question of whether climate change, expressed by time‐trends in temperature, is of a heterogeneous nature or not. Here, the time‐trend heterogeneity argument has been investigated using Hidden Markov (HM) quantile time‐trends models in temperature time series.
Georgios Tsiotas +2 more
wiley +1 more source

