Results 111 to 120 of about 548,551 (312)
The ability to predict climate fluctuations at seasonal timescales offers significant socio‐economic benefits. However, limited understanding of predictability mechanisms and model errors hinders forecast quality. Recent research has improved forecasting systems and data quality.
Gualdi Silvio +12 more
wiley +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
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
Operational applications of satellite snowcover observations in Rio Grande drainage of Colorado [PDF]
Various mapping techniques were tried and evaluated. There were many problems encountered such as distinquishing clouds from snow and snow under trees. A partial solution to some of the problems involves ground reconnaissance and low air flights.
Mikesell, T., Washicheck, J. N.
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
In remote Canada, sparse meteorological stations hinder reliable snow data collection, especially for assessing historical records. Yet, these data are crucial to evaluate the effect of climate change on ecosystems and species.
Kallan Crémel +2 more
doaj +1 more source
Conifers growing in high‐elevation alpine environments in the mountains of Southern California, USA, are highly responsive to atmospheric river (AR) events, which typically produce heavy precipitation over 1–3 days. However, it is the frequency of the AR events, not their magnitude nor annual precipitation totals, that most affects the radial growth of
Paul A. Knapp +2 more
wiley +1 more source
Research relative to angular distribution of snow reflectance/snow cover characterization and microwave emission [PDF]
Remote sensing has been applied in recent years to monitoring snow cover properties for applications in hydrologic and energy balance modeling. In addition, snow cover has been recently shown to exert a considerable local influence on weather variables ...
Davis, Robert E., Dozier, Jeff
core +1 more source
This study evaluates the COSMO‐CLM regional climate model over Italy under CMIP6 scenarios. Compared to its driving global model, COSMO‐CLM reduces temperature biases by 50%–75% and better represents precipitation and extremes, adding critical mesoscale detail.
Alejandro Vichot‐Llano +5 more
wiley +1 more source
Instant Response of Tibetan Plateau Surface Albedo to Snow Coverage and Depth in Snow Season
Tibetan Plateau (TP) snow cover is featured by sub‐seasonal changes, affecting weather and climate in surrounding and downstream areas. Previous studies emphasize the effect of background atmospheric circulation on rapid changes of TP snow cover as a ...
Xin Miao +5 more
doaj +1 more source

