Results 71 to 80 of about 107,005 (279)
International Journal of Climatology, EarlyView.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
Hidden Markov Quantile Models With Trends for Analysing Air Temperature Data
International Journal of Climatology, EarlyView.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
Improving Numerical Weather Prediction of Rainfall Events Using Radar Data Assimilation
Indonesian Journal of Geography, 2019 Data assimilation is one of method to improve initial atmospheric conditions data in numerical weather prediction. The assimilation of weather radar data that has quite extensive and tight data is considered to be able to improve the quality of weather ...
Miranti Indri Hastuti +2 more
doaj +1 more source
International Journal of Climatology, EarlyView.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
A New Weighting Scheme in Weighted Markov Model for Predicting the Probability of Drought Episodes
, 2018 Drought is a complex stochastic natural hazard caused by prolonged shortage of rainfall. Several environmental factors are involved in determining drought classes at the specific monitoring station. Therefore, efficient sequence processing techniques are
Ahmad, Ishfaq +6 more
core +1 more source
International Journal of Climatology, EarlyView.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
Reliability, Sufficiency, and the Decomposition of Proper Scores
, 2008 Scoring rules are an important tool for evaluating the performance of probabilistic forecasting schemes. In the binary case, scoring rules (which are strictly proper) allow for a decomposition into terms related to the resolution and to the reliability ...
Blattenberger +23 more
core +2 more sources
Dry–Hot Compound Events Driving the 2024 Pantanal Wildfires
International Journal of Climatology, EarlyView.Extreme wildfires in the Pantanal in 2024 were driven by a cascade of heatwaves, rainfall deficits and the absence of the annual flood pulse. These conditions dried soils and rivers, enhanced fuel accumulation and enabled early and intense fire outbreaks.
Liz B. C. Belém +14 more
wiley +1 more source
Numerical methods for meteorology and climatology [PDF]
Efficient numerical methods for long term weather forecasting are developed.
Isaacson, E., Marchesin, D., Zwas, G.
core +1 more source
How the Marsden Fund has failed to achieve its full potential in the ESA panel: evidence of limitations in scope, biased outcomes, and futile applications [PDF]
, 2014 We have analysed the scope of proposals funded by the ‘Earth Sciences and Astronomy’ (ESA) panel of the Marsden Fund for the period 2004 to 2013.
Bryan, Karin R., Lowe, David J.
core +1 more source